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Comorbidity

In medicine, comorbidity - from Latin morbus ("sickness"), co ("together"), -ity (as if - several sicknesses together)[1][circular reference] - is the presence of one or more additional conditions often co-occurring (that is, concomitant or concurrent) with a primary condition. Comorbidity describes the effect of all other conditions an individual patient might have other than the primary condition of interest, and can be physiological or psychological. In the context of mental health, comorbidity often refers to disorders that are often coexistent with each other, such as depression and anxiety disorders. The concept of multimorbidity is related to comorbidity but presents a different meaning and approach.

Definition Edit

The term "comorbid" has three definitions:

  1. to indicate a medical condition existing simultaneously but independently with another condition in a patient.
  2. to indicate a medical condition in a patient that causes, is caused by, or is otherwise related to another condition in the same patient.[2]
  3. to indicate two or more medical conditions existing simultaneously regardless of their causal relationship.[3]

Comorbidity can indicate either a condition existing simultaneously, but independently with another condition or a related derivative medical condition. The latter sense of the term causes some overlap with the concept of complications. For example, in longstanding diabetes mellitus, the extent to which coronary artery disease is an independent comorbidity versus a diabetic complication is not easy to measure, because both diseases are quite multivariate and there are likely aspects of both simultaneity and consequence. The same is true of intercurrent diseases in pregnancy. In other examples, the true independence or relation is not ascertainable because syndromes and associations are often identified long before pathogenetic commonalities are confirmed (and, in some examples, before they are even hypothesized). In psychiatric diagnoses it has been argued in part that this "'use of imprecise language may lead to correspondingly imprecise thinking', [and] this usage of the term 'comorbidity' should probably be avoided."[4] However, in many medical examples, such as comorbid diabetes mellitus and coronary artery disease, it makes little difference which word is used, as long as the medical complexity is duly recognized and addressed.

Difference from multimorbidity Edit

Comorbidity is often referred to as multimorbidity even though the two are considered distinct clinical scenarios.[5][6][7]

Comorbidity means that one 'index' condition is the focus of attention, and others are viewed in relation to this. In contrast, multimorbidity describes someone having two or more long-term (chronic) conditions without any of them holding priority over the others. This distinction is important in how the healthcare system treats people and helps making clear the specific settings in which the use of one or the other term can be preferred. Multimorbidity offers a more general and person-centered concept that allows focusing on all of the patient's symptoms and providing a more holistic care. In other settings, for example in pharmaceutical research, comorbidity might often be the more useful term to use.[8][7]

Mental health Edit

In psychiatry, psychology, and mental health counseling, comorbidity refers to the presence of more than one diagnosis occurring in an individual at the same time. However, in psychiatric classification, comorbidity does not necessarily imply the presence of multiple diseases, but instead can reflect current inability to supply a single diagnosis accounting for all symptoms.[9] On the DSM Axis I, major depressive disorder is a very common comorbid disorder. The Axis II personality disorders are often criticized because their comorbidity rates are excessively high, approaching 60% in some cases. Critics[who?] assert this indicates these categories of mental illness are too imprecisely distinguished to be usefully valid for diagnostic purposes, impacting treatment and resource allocation.[citation needed] Symptom overlap is a key component against DSM classification and serves as a note towards redefining criteria in disorders that the root cause may not be understood thoroughly. Regardless of criticisms, it stands that, annually[where?], up to 45% of mental health patients fit the criteria for a comorbid diagnosis. A comorbid diagnosis is associated with more severe symptomatic expression and greater chance of dismal prognosis.[10] Certain diagnoses such as ADHD, autism, OCD, and mood disorders have higher rates of co-occurring or being prevalent in separate diagnoses. "Comorbidity in OCD is the rule rather than the exception" with OCD diagnoses facing a lifetime rate of 90%.[11] With overlapping symptoms comes overlap in treatment as well, CBT for example is common for both ADHD and OCD with pediatric onset and can be effective for both in a comorbid diagnosis.[12] OCD and eating disorders have a high rate of occurrence, it is estimated that 20-60% of patients with an eating disorder have OCD.[13] More often, comorbidity complicates and can prevent treatment efficacy on a varying scale depending on the circumstances.

The term 'comorbidity' was introduced in medicine by Feinstein (1970) to describe cases in which a 'distinct additional clinical entity' occurred before or during treatment for the 'index disease', the original or primary diagnosis. Since the terms were coined, meta studies have shown that criteria used to determine the index disease were flawed and subjective, and moreover, trying to identify an index disease as the cause of the others can be counterproductive to understanding and treating interdependent conditions. In response, 'multimorbidity' was introduced to describe concurrent conditions without relativity to or implied dependency on another disease, so that the complex interactions to emerge naturally under analysis of the system as a whole.[14]

Although the term 'comorbidity' has recently become very fashionable in psychiatry, its use to indicate the concomitance of two or more psychiatric diagnoses is said to be incorrect because in most cases it is unclear whether the concomitant diagnoses actually reflect the presence of distinct clinical entities or refer to multiple manifestations of a single clinical entity. It has been argued that because "'the use of imprecise language may lead to correspondingly imprecise thinking', this usage of the term 'comorbidity' should probably be avoided".[15]

Due to its artifactual nature, psychiatric comorbidity has been considered as a Kuhnian anomaly leading the DSM to a scientific crisis[16] and a comprehensive review on the matter considers comorbidity as an epistemological challenge to modern psychiatry.[17] The Hierarchical Taxonomy of Psychopathology is a leading alternative classification system that addresses these concerns about comorbidity.

History Edit

Widespread study of physical and mental pathology found its place in psychiatry. I. Jensen (1975),[18] J.H. Boyd (1984),[19] W.C. Sanderson (1990),[20] Yuri Nuller (1993),[21] D.L. Robins (1994),[22] A. B. Smulevich (1997),[23] C.R. Cloninger (2002)[24] and other psychiatrists discovered a number of comorbid conditions in those with psychiatric disorders.

The influence of comorbidity on the clinical progression of the primary (basic) physical disorder, effectiveness of the medicinal therapy and immediate and long-term prognosis of the patients was researched by physicians and scientists of various medical fields in many countries across the globe. These scientists and physicians included: M. H. Kaplan (1974),[25] T. Pincus (1986),[26] M. E. Charlson (1987),[27] F. G. Schellevis (1993),[28] H. C. Kraemer (1995),[29] M. van den Akker (1996),[30] A. Grimby (1997),[31] S. Greenfield (1999),[32] M. Fortin (2004) & A. Vanasse (2004),[33] C. Hudon (2005),[34] L. B. Lazebnik (2005),[35] A. L. Vertkin (2008),[36] G. E. Caughey (2008),[37] F. I. Belyalov (2009),[38] L. A. Luchikhin (2010)[39] and many others.

Inception of the term Edit

Many centuries ago the doctors propagated the viability of a complex approach in the diagnosis of disease and the treatment of the patient, however, modern medicine, which boasts a wide range of diagnostic methods and a variety of therapeutic procedures, stresses specification. This brought up a question: How to wholly evaluate the state of a patient who has a number of diseases simultaneously, where to start from and which disease(s) require(s) primary and subsequent treatment? For many years this question stood out unanswered, until 1970, when a renowned American doctor epidemiologist and researcher, A.R. Feinstein, who had greatly influenced the methods of clinical diagnosis and particularly methods used in the field of clinical epidemiology, came out with the term of "comorbidity". The appearance of comorbidity was demonstrated by Feinstein using the example of patients physically affected by rheumatic fever, discovering the worst state of the patients, who simultaneously had multiple diseases. In due course of time after its discovery, comorbidity was distinguished as a separate scientific-research discipline in many branches of medicine.[40]

Evolution of the term Edit

Presently there is no agreed-upon terminology of comorbidity. Some authors bring forward different meanings of comorbidity and multi-morbidity, defining the former, as the presence of a number of diseases in a patient, connected to each other through proven pathogenetic mechanisms and the latter, as the presence of a number of diseases in a patient, not having any connection to each other through any of the proven to date pathogenetic mechanisms.[41] Others affirm that multi-morbidity is the combination of a number of chronic or acute diseases and clinical symptoms in a person and do not stress the similarities or differences in their pathogenesis.[42] However the principle clarification of the term was given by H. C. Kraemer and M. van den Akker, determining comorbidity as the combination in a patient of 2 or more chronic diseases (disorders), pathogenetically related to each other or coexisting in a single patient independent of each disease's activity in the patient.[citation needed]

Synonyms Edit

  • Polymorbidity
  • Multifactorial diseases
  • Polypathy
  • Dual diagnosis, used for mental health issues
  • Pluralpathology

Epidemiology Edit

Comorbidity is widespread among the patients admitted at multidiscipline hospitals. During the phase of initial medical help, the patients having multiple diseases simultaneously are a norm rather than an exception. Prevention and treatment of chronic diseases declared by the World Health Organization, as a priority project for the second decade of the 20th century, are meant to better the quality of the global population.[43][44][45][46][47] This is the reason for an overall tendency of large-scale epidemiological researches in different medical fields, carried-out using serious statistical data. In most of the carried-out, randomized, clinical researches the authors study patients with single refined pathology, making comorbidity an exclusive criterion. This is why it is hard to relate researches, directed towards the evaluation of the combination of ones or the other separate disorders, to works regarding the sole research of comorbidity. The absence of a single scientific approach to the evaluation of comorbidity leads to omissions in clinical practice. It is hard not to notice the absence of comorbidity in the taxonomy (systematics) of disease, presented in ICD-10.[citation needed]

Clinico-pathological comparisons Edit

All the fundamental researches of medical documentation, directed towards the study of the spread of comorbidity and influence of its structure, were conducted until the 1990s. The sources of information, used by the researchers and scientists, working on the matter of comorbidity, were case histories,[48][49] hospital records of patients[50] and other medical documentation, kept by family doctors, insurance companies[51] and even in the archives of patients in old houses.[52]

The listed methods of obtaining medical information are mainly based on clinical experience and qualification of the physicians, carrying out clinically, instrumentally and laboratorially confirmed diagnosis. This is why despite their competence, they are highly subjective. No analysis of the results of postmortem of deceased patients was carried out for any of the comorbidity researches.[citation needed]

"It is the duty of the doctor to carry out autopsy of the patients they treat", said once professor M. Y. Mudrov. Autopsy allows you to exactly determine the structure of comorbidity and the direct cause of death of each patient independent of his/her age, gender and gender specific characteristics. Statistical data of comorbid pathology, based on these sections, are mainly devoid of subjectivism.

Research Edit

The analysis of a decade long Australian research based on the study of patients having 6 widespread chronic diseases demonstrated that nearly half of the elderly patients with arthritis also had hypertension, 20% had cardiac disorders and 14% had type 2 diabetes. More than 60% of asthmatic patients complained of concurrent arthritis, 20% complained of cardiac problems and 16% had type 2 diabetes.[53]

In patients with chronic kidney disease (renal insufficiency) the frequency of coronary heart disease is 22% higher and new coronary events 3.4 times higher compared to patients without kidney function disorders. Progression of CKD towards end stage renal disease requiring renal replacement therapy is accompanied by increasing prevalence of Coronary Heart Disease and sudden death from cardiac arrest.[54]

A Canadian research conducted upon 483 obesity patients, it was determined that spread of obesity related accompanying diseases was higher among females than males. The researchers discovered that nearly 75% of obesity patients had accompanying diseases, which mostly included dyslipidemia, hypertension and type 2 diabetes. Among the young obesity patients (from 18 to 29) more than two chronic diseases were found in 22% males and 43% females.[55]

Fibromyalgia is a condition which is comorbid with several others, including but not limited to; depression, anxiety, headache, irritable bowel syndrome, chronic fatigue syndrome, systemic lupus erythematosus, rheumatoid arthritis,[56] migraine, and panic disorder.[57]

The number of comorbid diseases increases with age. Comorbidity increases by 10% in ages up to 19 years, up to 80% in people of ages 80 and older.[58] According to data by M. Fortin, based on the analysis of 980 case histories, taken from daily practice of a family doctor, the spread of comorbidity is from 69% in young patients, up to 93% among middle aged people and up to 98% patients of older age groups. At the same time the number of chronic diseases varies from 2.8 in young patients and 6.4 among older patients.[59]

According to Russian data, based on the study of more than three thousand postmortem reports (n=3239) of patients of physical pathologies, admitted at multidisciplinary hospitals for the treatment of chronic disorders (average age 67.8 ± 11.6 years), the frequency of comorbidity is 94.2%. Doctors mostly come across a combination of two to three disorders, but in rare cases (up to 2.7%) a single patient carried a combination of 6–8 diseases simultaneously.[60]

The fourteen-year research conducted on 883 patients of idiopathic thrombocytopenic purpura (Werlhof disease), conducted in Great Britain, shows that the given disease is related to a wide range of physical pathologies. In the comorbid structure of these patients, most frequently present are malignant neoplasms, locomotorium disorders, skin and genitourinary system disorders, as well as haemorrhagic complications and other autoimmune diseases, the risk of whose progression during the first five years of the primary disease exceeds the limit of 5%.[61]

In a research conducted on 196 larynx cancer patients, it was determined that the survival rate of patients at various stages of cancer differs depending upon the presence or absence of comorbidity. At the first stage of cancer the survival rate in the presence of comorbidity is 17% and in its absence it is 83%, in the second stage of cancer the rate of survivability is 14% and 76%, in the third stage it is 28% and 66% and in the fourth stage of cancer it is 0% and 50% respectively. Overall the survivability rate of comorbid larynx cancer patients is 59% lower than the survivability rate of patients without comorbidity.[62]

Except for therapists and general physicians, the problem of comorbidity is also often faced by specialists. Regretfully they seldom pay attention to the coexistence of a whole range of disorders in a single patient and mostly conduct the treatment of specific to their specialization diseases. In current practice urologists, gynecologists, ENT specialists, eye specialists, surgeons and other specialists all too often mention only the diseases related to "own" field of specialization, passing on the discovery of other accompanying pathologies "under the control" of other specialists. It has become an unspoken rule for any specialized department to carry out consultations of the therapist, who feels obliged to carry out symptomatic analysis of the patient, as well as to the form the diagnostic and therapeutic concept, taking in view the potential risks for the patient and his long-term prognosis.[citation needed]

Based on the available clinical and scientific data it is possible to conclude that comorbidity has a range of undoubted properties, which characterize it as a heterogeneous and often encountered event, which enhances the seriousness of the condition and worsens the patient's prospects. The heterogeneous character of comorbidity is due to the wide range of reasons causing it.[63][64]

Causes Edit

  • Anatomic proximity of diseased organs
  • Singular pathogenetic mechanism of a number of diseases
  • Terminable cause-effect relation between the diseases
  • One disease resulting from complications of another
  • Pleiotropy[65]

The factors responsible for the development of comorbidity can be chronic infections, inflammations, involutional and systematic metabolic changes, iatrogenesis, social status, ecology and genetic susceptibility.

Types Edit

  • Trans-syndromal comorbidity: coexistence, in a single patient, of two and/or more syndromes, pathogenetically related to each other.
  • Trans-nosological comorbidity: coexistence, in a single patient, of two and/or more syndromes, pathogenetically not related to each other.

The division of comorbidity as per syndromal and nosological principles is mainly preliminary and inaccurate, however it allows us to understand that comorbidity can be connected to a singular cause or common mechanisms of pathogenesis of the conditions, which sometimes explains the similarity in their clinical aspects, which makes it difficult to differentiate between nosologies.

  • Etiological comorbidity:[66] It is caused by concurrent damage to different organs and systems, which is caused by a singular pathological agent (for example due to alcoholism in patients with chronic alcohol intoxication; pathologies associated with smoking; systematic damage due to collagenoses).
  • Complicated comorbidity: It is the result of the primary disease and often subsequent after sometime after its destabilization appears in the shape of target lesions (for example chronic resulting from diabetic nephropathy (Kimmelstiel-Wilson disease) in patients with type 2 diabetes; development of brain infarction resulting from complications due to hypertensive crisis in patients with hypertension).
  • Iatrogenic comorbidity: It appears as a result of necessitated negative effect of the doctor on the patient, under the conditions of pre determine danger of one or the other medical procedure (for example, glucocorticosteroid osteoporosis in patients treated for a long time using systematic hormonal agents (preparations); drug-induced hepatitis resulting from chemotherapy against TB, prescribed due to the conversion of tubercular tests).
  • Unspecified (NOS) comorbidity: This type assumes the presence of singular pathogenetic mechanisms of development of diseases, comprising this combination, but require a number of tests, proving the hypothesis of the researcher or physician (for example, erectile dysfunction as an early sign of general atherosclerosis (ASVD); occurrence of erosive-ulcerative lesions in the mucous membrane of the upper gastrointestinal tract in "vascular" patients).
  • "Arbitrary" comorbidity: initial alogism of the combination of diseases is not proven, but soon can be explained with clinical and scientific point of view (for example, combination of coronary heart disease (CHD) and choledocholithiasis; combination of acquired heart valvular disease and psoriasis).

Structure Edit

There are a number of rules for the formulation of clinical diagnosis for comorbid patients, which must be followed by a practitioner. The main principle is to distinguish in diagnosis the primary and background diseases, as well as their complications and accompanying pathologies.[67][68]

  • Primary disease: This is the nosological form, which itself or as a result of complications calls for the foremost necessity for treatment at the time due to threat to the patient's life and danger of disability. Primary is the disease, which becomes the cause of seeking medical help or the reason for the patient's death. If the patient has several primary diseases it is important to first of all understand the combined primary diseases (rival or concomitant).
  • Rival diseases: These are the concurrent nosological forms in a patient, interdependent in etiologies and pathogenesis, but equally sharing the criterion of a primary disease (for example, transmural myocardial infarction and massive thromboembolism of pulmonary artery, caused by phlebemphraxis of lower limbs). For practicing pathologist rival are two or more diseases, exhibited in a single patient, each of which by itself or through its complications could cause the patient's death.
  • Polypathia: Diseases with different etiologies and pathogenesis, each of which separately could not cause death, but, concurring during development and reciprocally exacerbating each other, they cause the patient's death (for example, osteoporotic fracture of the surgical neck of the femur and hypostatic pneumonia).
  • Background disease: This helps in the occurrence of or adverse development of the primary disease increases its dangers and helps in the development of complications. This disease as well as the primary one requires immediate treatment (for example, type 2 diabetes).
  • Complications: Nosologies having pathogenetic relation to the primary disease, supporting the adverse progression of the disorder, causing acute worsening of the patient's conditions (are a part of the complicated comorbidity). In a number of cases the complications of the primary disease and related to it etiological and pathogenetic factors, are indicated as conjugated disease. In this case they must be identified as the cause of comorbidity. Complications are listed in a descending order of prognostic or disabling significance.
  • Associating diseases: Nosological units not connected etiologically and pathogenetically with the primary disease (Listed in the order of significance).

Diagnosis Edit

Many tests attempt to standardize the "weight" or value of comorbid conditions, whether they are secondary or tertiary illnesses. Each test attempts to consolidate each individual comorbid condition into a single, predictive variable that measures mortality or other outcomes. Researchers have validated such tests because of their predictive value, but no one test is as yet recognized as a standard.

Charlson Comorbidity Index (CCI) Edit

The Charlson Comorbidity Index[69] predicts the mortality for a patient who may have a range of comorbid conditions, such as heart disease, AIDS, or cancer (a total of 17 conditions). Each condition is assigned a score of 1, 2, 3, or 6, depending on the risk of dying associated with each one. Scores are summed to provide a total score to predict mortality. Many variations of the Charlson comorbidity index have been presented, including the Charlson/Deyo, Charlson/Romano, Charlson/Manitoba, and Charlson/D'Hoores comorbidity indices.

For a physician, this score is helpful in deciding how aggressively to treat a condition. For example, a patient may have cancer with comorbid heart disease and diabetes. These comorbidities may be so severe that the costs and risks of cancer treatment would outweigh its short-term benefit.

Since patients often do not know how severe their conditions are, nurses were originally supposed to review a patient's chart and determine whether a particular condition was present in order to calculate the index. Subsequent studies have adapted the comorbidity index into a questionnaire for patients.

The Charlson index, especially the Charlson/Deyo, followed by the Elixhauser have been most commonly referred by the comparative studies of comorbidity and multimorbidity measures.[70]

Comorbidity–Polypharmacy Score (CPS) Edit

The comorbidity–polypharmacy score (CPS) is a simple measure that consists of the sum of all known comorbid conditions and all associated medications. There is no specific matching between comorbid conditions and corresponding medications. Instead, the number of medications is assumed to be a reflection of the "intensity" of the associated comorbid conditions. This score has been tested and validated extensively in the trauma population, demonstrating good correlation with mortality, morbidity, triage, and hospital readmissions.[71][72][73] Of interest, increasing levels of CPS were associated with significantly lower 90-day survival in the original study of the score in trauma population.[71]

Elixhauser Comorbidity Index Edit

The Elixhauser comorbidity measure was developed using administrative data from a statewide California inpatient database from all non-federal inpatient community hospital stays in California (n = 1,779,167). The Elixhauser comorbidity measure developed a list of 30 comorbidities relying on the ICD-9-CM coding manual. The comorbidities were not simplified as an index because each comorbidity affected outcomes (length of hospital stay, hospital changes, and mortality) differently among different patients groups. The comorbidities identified by the Elixhauser comorbidity measure are significantly associated with in-hospital mortality and include both acute and chronic conditions. van Walraven et al. have derived and validated an Elixhauser comorbidity index that summarizes disease burden and can discriminate for in-hospital mortality.[74] In addition, a systematic review and comparative analysis shows that among various comorbidities indices, Elixhauser index is a better predictor of the risk especially beyond 30 days of hospitalization.[70]

Diagnosis-related group Edit

Patients who are more seriously ill tend to require more hospital resources than patients who are less seriously ill, even though they are admitted to the hospital for the same reason. Recognizing this, the diagnosis-related group (DRG) manually splits certain DRGs based on the presence of secondary diagnoses for specific complications or comorbidities (CC). The same applies to Healthcare Resource Groups (HRGs) in the UK.

Clinical example of evaluation Edit

Patient S., 73 years, called an ambulance because of a sudden pressing pain in the chest. It was known from the case history that the patient had CHD for many years. Such chest pains were experienced by her earlier as well, but they always disappeared after a few minutes of sublingual administration of organic nitrates. This time taking three tablets of nitroglycerine did not kill the pain. It was also known from the case history that the patient had twice had myocardial infarctions during the last ten years, as well as had an Acute Cerebrovascular Event with sinistral hemiplegia more than 15 years ago. Apart from that the patient had hypertension, type 2 diabetes with diabetic nephropathy, hysteromyoma, cholelithiasis, osteoporosis and varicose pedi-vein disease. It was also learned that the patient regularly takes a number of antihypertensive drugs, urinatives and oral antihyperglycemic remedies, as well as statins, antiplatelet and nootropics. In the past the patient had undergone cholecystectomy due to cholelithiasis more than 20 years ago, as well as the extraction of a cataract of the right eye 4 years ago. The patient was admitted to cardiac intensive care unit at a general hospital diagnosed for acute transmural myocardial infarction. During the check-up moderate azotemia, mild erythronormoblastic anemia, proteinuria and lowering of left vascular ejection fraction were also identified.

Methods of evaluation Edit

There are currently several generally accepted methods of evaluating (measuring) comorbidity:[75]

  1. Cumulative Illness Rating Scale (CIRS): Developed in 1968 by B. S. Linn, it became a revolutionary discovery, because it gave the practicing doctors a chance to calculate the number and severity of chronic illnesses in the structure of the comorbid state of their patients. The proper use of CIRS means separate cumulative evaluation of each of the biological systems: "0" The selected system corresponds to the absence of disorders, "1": Slight (mild) abnormalities or previously had disorders, "2": Illness requiring the prescription of medicinal therapy, "3": Disease, which caused disability and "4": Acute organ insufficiency requiring emergency therapy. The CIRS system evaluates comorbidity in cumulative score, which can be from 0 to 56. As per its developers, the maximum score is not compatible with the patient's life.[76]
  2. Cumulative Illness Rating Scale for Geriatrics (CIRS-G): This system is similar to CIRS, but for aged patients, offered by M. D. Miller in 1991. This system takes into account the age of the patient and the peculiarities of the old age disorders.[77][78]
  3. The Kaplan–Feinstein Index: This index was created in 1973 based on the study of the effect of the associated diseases on patients with type 2 diabetes during a period of 5 years. In this system of comorbidity evaluation all the present (in a patient) diseases and their complications, depending on the level of their damaging effect on body organs, are classified as mild, moderate and severe. In this case the conclusion about cumulative comorbidity is drawn on the basis of the most decompensated biological system. This index gives cumulative, but less detailed as compared to CIRS, assessment of the condition of each of the biological systems: "0": Absence of disease, "1": Mild course of the disease, "2": Moderate disease, "3": Severe disease. The Kaplan–Feinstein Index evaluates comorbidity by cumulative score, which can vary from 0 to 36. Apart from that the notable deficiency of this method of evaluating comorbidity is the excessive generalization of diseases (nosologies) and the absence of a large number of illnesses in the scale, which, probably, should be noted in the "miscellaneous" column, which undermines (decreases) this method's objectivity and productivity of this method. However the indisputable advantage of the Kaplan–Feinstein Index as compared to CIRS is in the capability of independent analysis of malignant neoplasms and their severities.[79] Using this method patient S's, age 73, comorbidity can be evaluated as of moderate severity (16 out of 36 points), however its prognostic value is unclear, because of the absence of the interpretation of the overall score, resulting from the accumulation of the patient's diseases.
  4. Charlson Index: This index is meant for the long-term prognosis of comorbid patients and was developed by M. E. Charlson in 1987. This index is based on a point scoring system (from 0 to 40) for the presence of specific associated diseases and is used for prognosis of lethality. For its calculation the points are accumulated, according to associated diseases, as well as the addition of a single point for each 10 years of age for patients of ages above forty years (in 50 years 1 point, 60 years 2 points etc.). The distinguishing feature and undisputed advantage of the Charlson Index is the capability of evaluating the patient's age and determination of the patient's mortality rate, which in the absence of comorbidity is 12%, at 1–2 points it is 26%; at 3–4 points it is 52% and with the accumulation of more than 5 points it is 85%. Regretfully this method has some deficiencies: Evaluating comorbidity severity of many diseases is not considered, as well as the absence of many important for prognosis disorders. Apart from that it is doubtful that possible prognosis for a patient with bronchial asthma and chronic leukemia is comparable to the prognosis for the patient ailing from myocardial infarction and cerebral infarction.[69] In this case comorbidity of patient S, 73 years of age according to this method, is equivalent to mild state (9 out of 40 points).
  5. Modified Charlson Index: R. A. Deyo, D. C. Cherkin, and Marcia Ciol added chronic forms of ischemic cardiac disorder and the stages of chronic cardiac insufficiency to this index in 1992.[80]
  6. Elixhauser Index: The Elixhauser comorbidity measure include 30 comorbidities, which are not simplified as an index. Elixhauser shows a better predictive performance for mortality risk especially beyond 30 days of hospitalization.[70]
  7. Index of Co-Existent Disease (ICED): This Index was first developed in 1993 by S. Greenfield to evaluate comorbidity in patients with malignant neoplasms, later it also became useful for other categories of patients. This method helps in calculating the duration of a patient's stay at a hospital and the risks of repeated admittance of the same at a hospital after going through surgical procedures. For the evaluation of comorbidity the ICED index suggests to evaluate the patient's condition separately as per two different components: Physiological functional characteristics. The first component comprises 19 associated disorders, each of which is assessed on a 4-point scale, where "0" indicates the absence of disease and "3" indicates the disease's severe form. The second component evaluates the effect of associated diseases on the physical condition of the patient. It assesses 11 physical functions using a 3-point scale, where "0" means normal functionality and "2" means the impossibility of functionality.
  8. Geriatric Index of Comorbidity (GIC): Developed in 2002[81]
  9. Functional Comorbidity Index (FCI): Developed in 2005.[82]
  10. Total Illness Burden Index (TIBI): Developed in 2007.[83]

Analyzing the comorbid state of patient S, 73 years of age, using the most used international comorbidity assessment scales, a doctor would come across totally different evaluation. The uncertainty of these results would somewhat complicate the doctors judgment about the factual level of severity of the patient's condition and would complicate the process of prescribing rational medicinal therapy for the identified disorders. Such problems are faced by doctors on everyday basis, despite all their knowledge about medical science. The main hurdle in the way of inducting comorbidity evaluation systems in broad based diagnostic-therapeutic process is their inconsistency and narrow focus. Despite the variety of methods of evaluation of comorbidity, the absence of a singular generally accepted method, devoid of the deficiencies of the available methods of its evaluation, causes disturbance. The absence of a unified instrument, developed on the basis of colossal international experience, as well as the methodology of its use does not allow comorbidity to become doctor "friendly". At the same time due to the inconsistency in approach to the analysis of comorbid state and absence of components of comorbidity in medical university courses, the practitioner is unclear about its prognostic effect, which makes the generally available systems of associated pathology evaluation unreasoned and therefore un-needed as well.

Treatment of comorbid patient Edit

The effect of comorbid pathologies on clinical implications, diagnosis, prognosis and therapy of many diseases is polyhedral and patient-specific. The interrelation of the disease, age and drug pathomorphism greatly affect the clinical presentation and progress of the primary nosology, character and severity of the complications, worsens the patient's life quality and limit or make difficult the remedial-diagnostic process. Comorbidity affects life prognosis and increases the chances of fatality. The presence of comorbid disorders increases bed days, disability, hinders rehabilitation, increases the number of complications after surgical procedures, and increases the chances of decline in aged people.[84]

The presence of comorbidity must be taken into account when selecting the algorithm of diagnosis and treatment plans for any given disease. It is important to enquire comorbid patients about the level of functional disorders and anatomic status of all the identified nosological forms (diseases). Whenever a new, as well as mildly notable symptom appears, it is necessary to conduct a deep examination to uncover its causes. It is also necessary to be remembered that comorbidity leads to polypragmasy (polypharmacy), i.e. simultaneous prescription of a large number of medicines, which renders impossible the control over the effectiveness of the therapy, increases monetary expenses and therefore reduces compliance. At the same time, polypragmasy, especially in aged patients, renders possible the sudden development of local and systematic, unwanted medicinal side-effects. These side-effects are not always considered by the doctors, because they are considered as the appearance of comorbidity and as a result become the reason for the prescription of even more drugs, sealing-in the vicious circle. Simultaneous treatment of multiple disorders requires strict consideration of compatibility of drugs and detailed adherence of rules of rational drug therapy, based on E. M. Tareev's principles, which state: "Each non-indicated drug is contraindicated"[This quote needs a citation] and B. E. Votchal said: "If the drug does not have any side-effects, one must think if there is any effect at all".[This quote needs a citation]

A study of inpatient hospital data in the United States in 2011 showed that the presence of a major complication or comorbidity was associated with a great risk of intensive-care unit utilization, ranging from a negligible change for acute myocardial infarction with major complication or comorbidity to nearly nine times more likely for a major joint replacement with major complication or comorbidity.[85]

See also Edit

References Edit

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Further reading Edit

  • Comorbidity: Addiction and Other Mental Illness. Rockville, MD: U.S. Dept. of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse, 2010.
  • Sharabiani, M.; Aylin, P.; Bottle, A. (2012). "Systematic review of comorbidity indices for administrative data". Medical Care. 50 (12): 1109–18. doi:10.1097/MLR.0b013e31825f64d0. PMID 22929993. S2CID 25852524.
  • Elixhauser, Anne; Steiner, Claudia; Harris, D. Robert; Coffey, Rosanna M. (1998). "Comorbidity Measures for Use with Administrative Data". Medical Care. 36 (1): 8–27. doi:10.1097/00005650-199801000-00004. JSTOR 3766985. PMID 9431328. S2CID 29229635.
  • Van Walraven, Carl; Austin, Peter C.; Jennings, Alison; Quan, Hude; Forster, Alan J. (2009). "A Modification of the Elixhauser Comorbidity Measures into a Point System for Hospital Death Using Administrative Data". Medical Care. 47 (6): 626–33. doi:10.1097/MLR.0b013e31819432e5. PMID 19433995. S2CID 35832401.

External links Edit

  • Online comorbidity scoring tools 2016-03-04 at the Wayback Machine
  • MDCalc – Medical calculators, equations, scores, and guidelines

comorbidity, this, article, technical, most, readers, understand, please, help, improve, make, understandable, experts, without, removing, technical, details, july, 2022, learn, when, remove, this, template, message, medicine, comorbidity, from, latin, morbus,. This article may be too technical for most readers to understand Please help improve it to make it understandable to non experts without removing the technical details July 2022 Learn how and when to remove this template message In medicine comorbidity from Latin morbus sickness co together ity as if several sicknesses together 1 circular reference is the presence of one or more additional conditions often co occurring that is concomitant or concurrent with a primary condition Comorbidity describes the effect of all other conditions an individual patient might have other than the primary condition of interest and can be physiological or psychological In the context of mental health comorbidity often refers to disorders that are often coexistent with each other such as depression and anxiety disorders The concept of multimorbidity is related to comorbidity but presents a different meaning and approach Contents 1 Definition 1 1 Difference from multimorbidity 2 Mental health 3 History 3 1 Inception of the term 3 2 Evolution of the term 4 Synonyms 5 Epidemiology 5 1 Clinico pathological comparisons 5 2 Research 6 Causes 7 Types 8 Structure 9 Diagnosis 9 1 Charlson Comorbidity Index CCI 9 2 Comorbidity Polypharmacy Score CPS 9 3 Elixhauser Comorbidity Index 9 4 Diagnosis related group 9 5 Clinical example of evaluation 9 6 Methods of evaluation 10 Treatment of comorbid patient 11 See also 12 References 13 Further reading 14 External linksDefinition EditThe term comorbid has three definitions to indicate a medical condition existing simultaneously but independently with another condition in a patient to indicate a medical condition in a patient that causes is caused by or is otherwise related to another condition in the same patient 2 to indicate two or more medical conditions existing simultaneously regardless of their causal relationship 3 Comorbidity can indicate either a condition existing simultaneously but independently with another condition or a related derivative medical condition The latter sense of the term causes some overlap with the concept of complications For example in longstanding diabetes mellitus the extent to which coronary artery disease is an independent comorbidity versus a diabetic complication is not easy to measure because both diseases are quite multivariate and there are likely aspects of both simultaneity and consequence The same is true of intercurrent diseases in pregnancy In other examples the true independence or relation is not ascertainable because syndromes and associations are often identified long before pathogenetic commonalities are confirmed and in some examples before they are even hypothesized In psychiatric diagnoses it has been argued in part that this use of imprecise language may lead to correspondingly imprecise thinking and this usage of the term comorbidity should probably be avoided 4 However in many medical examples such as comorbid diabetes mellitus and coronary artery disease it makes little difference which word is used as long as the medical complexity is duly recognized and addressed Difference from multimorbidity Edit Comorbidity is often referred to as multimorbidity even though the two are considered distinct clinical scenarios 5 6 7 Comorbidity means that one index condition is the focus of attention and others are viewed in relation to this In contrast multimorbidity describes someone having two or more long term chronic conditions without any of them holding priority over the others This distinction is important in how the healthcare system treats people and helps making clear the specific settings in which the use of one or the other term can be preferred Multimorbidity offers a more general and person centered concept that allows focusing on all of the patient s symptoms and providing a more holistic care In other settings for example in pharmaceutical research comorbidity might often be the more useful term to use 8 7 Mental health EditIn psychiatry psychology and mental health counseling comorbidity refers to the presence of more than one diagnosis occurring in an individual at the same time However in psychiatric classification comorbidity does not necessarily imply the presence of multiple diseases but instead can reflect current inability to supply a single diagnosis accounting for all symptoms 9 On the DSM Axis I major depressive disorder is a very common comorbid disorder The Axis II personality disorders are often criticized because their comorbidity rates are excessively high approaching 60 in some cases Critics who assert this indicates these categories of mental illness are too imprecisely distinguished to be usefully valid for diagnostic purposes impacting treatment and resource allocation citation needed Symptom overlap is a key component against DSM classification and serves as a note towards redefining criteria in disorders that the root cause may not be understood thoroughly Regardless of criticisms it stands that annually where up to 45 of mental health patients fit the criteria for a comorbid diagnosis A comorbid diagnosis is associated with more severe symptomatic expression and greater chance of dismal prognosis 10 Certain diagnoses such as ADHD autism OCD and mood disorders have higher rates of co occurring or being prevalent in separate diagnoses Comorbidity in OCD is the rule rather than the exception with OCD diagnoses facing a lifetime rate of 90 11 With overlapping symptoms comes overlap in treatment as well CBT for example is common for both ADHD and OCD with pediatric onset and can be effective for both in a comorbid diagnosis 12 OCD and eating disorders have a high rate of occurrence it is estimated that 20 60 of patients with an eating disorder have OCD 13 More often comorbidity complicates and can prevent treatment efficacy on a varying scale depending on the circumstances The term comorbidity was introduced in medicine by Feinstein 1970 to describe cases in which a distinct additional clinical entity occurred before or during treatment for the index disease the original or primary diagnosis Since the terms were coined meta studies have shown that criteria used to determine the index disease were flawed and subjective and moreover trying to identify an index disease as the cause of the others can be counterproductive to understanding and treating interdependent conditions In response multimorbidity was introduced to describe concurrent conditions without relativity to or implied dependency on another disease so that the complex interactions to emerge naturally under analysis of the system as a whole 14 Although the term comorbidity has recently become very fashionable in psychiatry its use to indicate the concomitance of two or more psychiatric diagnoses is said to be incorrect because in most cases it is unclear whether the concomitant diagnoses actually reflect the presence of distinct clinical entities or refer to multiple manifestations of a single clinical entity It has been argued that because the use of imprecise language may lead to correspondingly imprecise thinking this usage of the term comorbidity should probably be avoided 15 Due to its artifactual nature psychiatric comorbidity has been considered as a Kuhnian anomaly leading the DSM to a scientific crisis 16 and a comprehensive review on the matter considers comorbidity as an epistemological challenge to modern psychiatry 17 The Hierarchical Taxonomy of Psychopathology is a leading alternative classification system that addresses these concerns about comorbidity History EditWidespread study of physical and mental pathology found its place in psychiatry I Jensen 1975 18 J H Boyd 1984 19 W C Sanderson 1990 20 Yuri Nuller 1993 21 D L Robins 1994 22 A B Smulevich 1997 23 C R Cloninger 2002 24 and other psychiatrists discovered a number of comorbid conditions in those with psychiatric disorders The influence of comorbidity on the clinical progression of the primary basic physical disorder effectiveness of the medicinal therapy and immediate and long term prognosis of the patients was researched by physicians and scientists of various medical fields in many countries across the globe These scientists and physicians included M H Kaplan 1974 25 T Pincus 1986 26 M E Charlson 1987 27 F G Schellevis 1993 28 H C Kraemer 1995 29 M van den Akker 1996 30 A Grimby 1997 31 S Greenfield 1999 32 M Fortin 2004 amp A Vanasse 2004 33 C Hudon 2005 34 L B Lazebnik 2005 35 A L Vertkin 2008 36 G E Caughey 2008 37 F I Belyalov 2009 38 L A Luchikhin 2010 39 and many others Inception of the term Edit Many centuries ago the doctors propagated the viability of a complex approach in the diagnosis of disease and the treatment of the patient however modern medicine which boasts a wide range of diagnostic methods and a variety of therapeutic procedures stresses specification This brought up a question How to wholly evaluate the state of a patient who has a number of diseases simultaneously where to start from and which disease s require s primary and subsequent treatment For many years this question stood out unanswered until 1970 when a renowned American doctor epidemiologist and researcher A R Feinstein who had greatly influenced the methods of clinical diagnosis and particularly methods used in the field of clinical epidemiology came out with the term of comorbidity The appearance of comorbidity was demonstrated by Feinstein using the example of patients physically affected by rheumatic fever discovering the worst state of the patients who simultaneously had multiple diseases In due course of time after its discovery comorbidity was distinguished as a separate scientific research discipline in many branches of medicine 40 Evolution of the term Edit Presently there is no agreed upon terminology of comorbidity Some authors bring forward different meanings of comorbidity and multi morbidity defining the former as the presence of a number of diseases in a patient connected to each other through proven pathogenetic mechanisms and the latter as the presence of a number of diseases in a patient not having any connection to each other through any of the proven to date pathogenetic mechanisms 41 Others affirm that multi morbidity is the combination of a number of chronic or acute diseases and clinical symptoms in a person and do not stress the similarities or differences in their pathogenesis 42 However the principle clarification of the term was given by H C Kraemer and M van den Akker determining comorbidity as the combination in a patient of 2 or more chronic diseases disorders pathogenetically related to each other or coexisting in a single patient independent of each disease s activity in the patient citation needed Synonyms EditPolymorbidity Multifactorial diseases Polypathy Dual diagnosis used for mental health issues PluralpathologyEpidemiology EditComorbidity is widespread among the patients admitted at multidiscipline hospitals During the phase of initial medical help the patients having multiple diseases simultaneously are a norm rather than an exception Prevention and treatment of chronic diseases declared by the World Health Organization as a priority project for the second decade of the 20th century are meant to better the quality of the global population 43 44 45 46 47 This is the reason for an overall tendency of large scale epidemiological researches in different medical fields carried out using serious statistical data In most of the carried out randomized clinical researches the authors study patients with single refined pathology making comorbidity an exclusive criterion This is why it is hard to relate researches directed towards the evaluation of the combination of ones or the other separate disorders to works regarding the sole research of comorbidity The absence of a single scientific approach to the evaluation of comorbidity leads to omissions in clinical practice It is hard not to notice the absence of comorbidity in the taxonomy systematics of disease presented in ICD 10 citation needed Clinico pathological comparisons Edit All the fundamental researches of medical documentation directed towards the study of the spread of comorbidity and influence of its structure were conducted until the 1990s The sources of information used by the researchers and scientists working on the matter of comorbidity were case histories 48 49 hospital records of patients 50 and other medical documentation kept by family doctors insurance companies 51 and even in the archives of patients in old houses 52 The listed methods of obtaining medical information are mainly based on clinical experience and qualification of the physicians carrying out clinically instrumentally and laboratorially confirmed diagnosis This is why despite their competence they are highly subjective No analysis of the results of postmortem of deceased patients was carried out for any of the comorbidity researches citation needed It is the duty of the doctor to carry out autopsy of the patients they treat said once professor M Y Mudrov Autopsy allows you to exactly determine the structure of comorbidity and the direct cause of death of each patient independent of his her age gender and gender specific characteristics Statistical data of comorbid pathology based on these sections are mainly devoid of subjectivism Research Edit The analysis of a decade long Australian research based on the study of patients having 6 widespread chronic diseases demonstrated that nearly half of the elderly patients with arthritis also had hypertension 20 had cardiac disorders and 14 had type 2 diabetes More than 60 of asthmatic patients complained of concurrent arthritis 20 complained of cardiac problems and 16 had type 2 diabetes 53 In patients with chronic kidney disease renal insufficiency the frequency of coronary heart disease is 22 higher and new coronary events 3 4 times higher compared to patients without kidney function disorders Progression of CKD towards end stage renal disease requiring renal replacement therapy is accompanied by increasing prevalence of Coronary Heart Disease and sudden death from cardiac arrest 54 A Canadian research conducted upon 483 obesity patients it was determined that spread of obesity related accompanying diseases was higher among females than males The researchers discovered that nearly 75 of obesity patients had accompanying diseases which mostly included dyslipidemia hypertension and type 2 diabetes Among the young obesity patients from 18 to 29 more than two chronic diseases were found in 22 males and 43 females 55 Fibromyalgia is a condition which is comorbid with several others including but not limited to depression anxiety headache irritable bowel syndrome chronic fatigue syndrome systemic lupus erythematosus rheumatoid arthritis 56 migraine and panic disorder 57 The number of comorbid diseases increases with age Comorbidity increases by 10 in ages up to 19 years up to 80 in people of ages 80 and older 58 According to data by M Fortin based on the analysis of 980 case histories taken from daily practice of a family doctor the spread of comorbidity is from 69 in young patients up to 93 among middle aged people and up to 98 patients of older age groups At the same time the number of chronic diseases varies from 2 8 in young patients and 6 4 among older patients 59 According to Russian data based on the study of more than three thousand postmortem reports n 3239 of patients of physical pathologies admitted at multidisciplinary hospitals for the treatment of chronic disorders average age 67 8 11 6 years the frequency of comorbidity is 94 2 Doctors mostly come across a combination of two to three disorders but in rare cases up to 2 7 a single patient carried a combination of 6 8 diseases simultaneously 60 The fourteen year research conducted on 883 patients of idiopathic thrombocytopenic purpura Werlhof disease conducted in Great Britain shows that the given disease is related to a wide range of physical pathologies In the comorbid structure of these patients most frequently present are malignant neoplasms locomotorium disorders skin and genitourinary system disorders as well as haemorrhagic complications and other autoimmune diseases the risk of whose progression during the first five years of the primary disease exceeds the limit of 5 61 In a research conducted on 196 larynx cancer patients it was determined that the survival rate of patients at various stages of cancer differs depending upon the presence or absence of comorbidity At the first stage of cancer the survival rate in the presence of comorbidity is 17 and in its absence it is 83 in the second stage of cancer the rate of survivability is 14 and 76 in the third stage it is 28 and 66 and in the fourth stage of cancer it is 0 and 50 respectively Overall the survivability rate of comorbid larynx cancer patients is 59 lower than the survivability rate of patients without comorbidity 62 Except for therapists and general physicians the problem of comorbidity is also often faced by specialists Regretfully they seldom pay attention to the coexistence of a whole range of disorders in a single patient and mostly conduct the treatment of specific to their specialization diseases In current practice urologists gynecologists ENT specialists eye specialists surgeons and other specialists all too often mention only the diseases related to own field of specialization passing on the discovery of other accompanying pathologies under the control of other specialists It has become an unspoken rule for any specialized department to carry out consultations of the therapist who feels obliged to carry out symptomatic analysis of the patient as well as to the form the diagnostic and therapeutic concept taking in view the potential risks for the patient and his long term prognosis citation needed Based on the available clinical and scientific data it is possible to conclude that comorbidity has a range of undoubted properties which characterize it as a heterogeneous and often encountered event which enhances the seriousness of the condition and worsens the patient s prospects The heterogeneous character of comorbidity is due to the wide range of reasons causing it 63 64 Causes EditAnatomic proximity of diseased organs Singular pathogenetic mechanism of a number of diseases Terminable cause effect relation between the diseases One disease resulting from complications of another Pleiotropy 65 The factors responsible for the development of comorbidity can be chronic infections inflammations involutional and systematic metabolic changes iatrogenesis social status ecology and genetic susceptibility Types EditTrans syndromal comorbidity coexistence in a single patient of two and or more syndromes pathogenetically related to each other Trans nosological comorbidity coexistence in a single patient of two and or more syndromes pathogenetically not related to each other The division of comorbidity as per syndromal and nosological principles is mainly preliminary and inaccurate however it allows us to understand that comorbidity can be connected to a singular cause or common mechanisms of pathogenesis of the conditions which sometimes explains the similarity in their clinical aspects which makes it difficult to differentiate between nosologies Etiological comorbidity 66 It is caused by concurrent damage to different organs and systems which is caused by a singular pathological agent for example due to alcoholism in patients with chronic alcohol intoxication pathologies associated with smoking systematic damage due to collagenoses Complicated comorbidity It is the result of the primary disease and often subsequent after sometime after its destabilization appears in the shape of target lesions for example chronic nephratony resulting from diabetic nephropathy Kimmelstiel Wilson disease in patients with type 2 diabetes development of brain infarction resulting from complications due to hypertensive crisis in patients with hypertension Iatrogenic comorbidity It appears as a result of necessitated negative effect of the doctor on the patient under the conditions of pre determine danger of one or the other medical procedure for example glucocorticosteroid osteoporosis in patients treated for a long time using systematic hormonal agents preparations drug induced hepatitis resulting from chemotherapy against TB prescribed due to the conversion of tubercular tests Unspecified NOS comorbidity This type assumes the presence of singular pathogenetic mechanisms of development of diseases comprising this combination but require a number of tests proving the hypothesis of the researcher or physician for example erectile dysfunction as an early sign of general atherosclerosis ASVD occurrence of erosive ulcerative lesions in the mucous membrane of the upper gastrointestinal tract in vascular patients Arbitrary comorbidity initial alogism of the combination of diseases is not proven but soon can be explained with clinical and scientific point of view for example combination of coronary heart disease CHD and choledocholithiasis combination of acquired heart valvular disease and psoriasis Structure EditThere are a number of rules for the formulation of clinical diagnosis for comorbid patients which must be followed by a practitioner The main principle is to distinguish in diagnosis the primary and background diseases as well as their complications and accompanying pathologies 67 68 Primary disease This is the nosological form which itself or as a result of complications calls for the foremost necessity for treatment at the time due to threat to the patient s life and danger of disability Primary is the disease which becomes the cause of seeking medical help or the reason for the patient s death If the patient has several primary diseases it is important to first of all understand the combined primary diseases rival or concomitant Rival diseases These are the concurrent nosological forms in a patient interdependent in etiologies and pathogenesis but equally sharing the criterion of a primary disease for example transmural myocardial infarction and massive thromboembolism of pulmonary artery caused by phlebemphraxis of lower limbs For practicing pathologist rival are two or more diseases exhibited in a single patient each of which by itself or through its complications could cause the patient s death Polypathia Diseases with different etiologies and pathogenesis each of which separately could not cause death but concurring during development and reciprocally exacerbating each other they cause the patient s death for example osteoporotic fracture of the surgical neck of the femur and hypostatic pneumonia Background disease This helps in the occurrence of or adverse development of the primary disease increases its dangers and helps in the development of complications This disease as well as the primary one requires immediate treatment for example type 2 diabetes Complications Nosologies having pathogenetic relation to the primary disease supporting the adverse progression of the disorder causing acute worsening of the patient s conditions are a part of the complicated comorbidity In a number of cases the complications of the primary disease and related to it etiological and pathogenetic factors are indicated as conjugated disease In this case they must be identified as the cause of comorbidity Complications are listed in a descending order of prognostic or disabling significance Associating diseases Nosological units not connected etiologically and pathogenetically with the primary disease Listed in the order of significance Diagnosis EditMany tests attempt to standardize the weight or value of comorbid conditions whether they are secondary or tertiary illnesses Each test attempts to consolidate each individual comorbid condition into a single predictive variable that measures mortality or other outcomes Researchers have validated such tests because of their predictive value but no one test is as yet recognized as a standard Charlson Comorbidity Index CCI Edit Main article Charlson Comorbidity Index The Charlson Comorbidity Index 69 predicts the mortality for a patient who may have a range of comorbid conditions such as heart disease AIDS or cancer a total of 17 conditions Each condition is assigned a score of 1 2 3 or 6 depending on the risk of dying associated with each one Scores are summed to provide a total score to predict mortality Many variations of the Charlson comorbidity index have been presented including the Charlson Deyo Charlson Romano Charlson Manitoba and Charlson D Hoores comorbidity indices For a physician this score is helpful in deciding how aggressively to treat a condition For example a patient may have cancer with comorbid heart disease and diabetes These comorbidities may be so severe that the costs and risks of cancer treatment would outweigh its short term benefit Since patients often do not know how severe their conditions are nurses were originally supposed to review a patient s chart and determine whether a particular condition was present in order to calculate the index Subsequent studies have adapted the comorbidity index into a questionnaire for patients The Charlson index especially the Charlson Deyo followed by the Elixhauser have been most commonly referred by the comparative studies of comorbidity and multimorbidity measures 70 Comorbidity Polypharmacy Score CPS Edit Main article Comorbidity polypharmacy score The comorbidity polypharmacy score CPS is a simple measure that consists of the sum of all known comorbid conditions and all associated medications There is no specific matching between comorbid conditions and corresponding medications Instead the number of medications is assumed to be a reflection of the intensity of the associated comorbid conditions This score has been tested and validated extensively in the trauma population demonstrating good correlation with mortality morbidity triage and hospital readmissions 71 72 73 Of interest increasing levels of CPS were associated with significantly lower 90 day survival in the original study of the score in trauma population 71 Elixhauser Comorbidity Index Edit Main article Elixhauser Comorbidity Index The Elixhauser comorbidity measure was developed using administrative data from a statewide California inpatient database from all non federal inpatient community hospital stays in California n 1 779 167 The Elixhauser comorbidity measure developed a list of 30 comorbidities relying on the ICD 9 CM coding manual The comorbidities were not simplified as an index because each comorbidity affected outcomes length of hospital stay hospital changes and mortality differently among different patients groups The comorbidities identified by the Elixhauser comorbidity measure are significantly associated with in hospital mortality and include both acute and chronic conditions van Walraven et al have derived and validated an Elixhauser comorbidity index that summarizes disease burden and can discriminate for in hospital mortality 74 In addition a systematic review and comparative analysis shows that among various comorbidities indices Elixhauser index is a better predictor of the risk especially beyond 30 days of hospitalization 70 Diagnosis related group Edit Patients who are more seriously ill tend to require more hospital resources than patients who are less seriously ill even though they are admitted to the hospital for the same reason Recognizing this the diagnosis related group DRG manually splits certain DRGs based on the presence of secondary diagnoses for specific complications or comorbidities CC The same applies to Healthcare Resource Groups HRGs in the UK Clinical example of evaluation Edit Patient S 73 years called an ambulance because of a sudden pressing pain in the chest It was known from the case history that the patient had CHD for many years Such chest pains were experienced by her earlier as well but they always disappeared after a few minutes of sublingual administration of organic nitrates This time taking three tablets of nitroglycerine did not kill the pain It was also known from the case history that the patient had twice had myocardial infarctions during the last ten years as well as had an Acute Cerebrovascular Event with sinistral hemiplegia more than 15 years ago Apart from that the patient had hypertension type 2 diabetes with diabetic nephropathy hysteromyoma cholelithiasis osteoporosis and varicose pedi vein disease It was also learned that the patient regularly takes a number of antihypertensive drugs urinatives and oral antihyperglycemic remedies as well as statins antiplatelet and nootropics In the past the patient had undergone cholecystectomy due to cholelithiasis more than 20 years ago as well as the extraction of a cataract of the right eye 4 years ago The patient was admitted to cardiac intensive care unit at a general hospital diagnosed for acute transmural myocardial infarction During the check up moderate azotemia mild erythronormoblastic anemia proteinuria and lowering of left vascular ejection fraction were also identified Methods of evaluation Edit There are currently several generally accepted methods of evaluating measuring comorbidity 75 Cumulative Illness Rating Scale CIRS Developed in 1968 by B S Linn it became a revolutionary discovery because it gave the practicing doctors a chance to calculate the number and severity of chronic illnesses in the structure of the comorbid state of their patients The proper use of CIRS means separate cumulative evaluation of each of the biological systems 0 The selected system corresponds to the absence of disorders 1 Slight mild abnormalities or previously had disorders 2 Illness requiring the prescription of medicinal therapy 3 Disease which caused disability and 4 Acute organ insufficiency requiring emergency therapy The CIRS system evaluates comorbidity in cumulative score which can be from 0 to 56 As per its developers the maximum score is not compatible with the patient s life 76 Cumulative Illness Rating Scale for Geriatrics CIRS G This system is similar to CIRS but for aged patients offered by M D Miller in 1991 This system takes into account the age of the patient and the peculiarities of the old age disorders 77 78 The Kaplan Feinstein Index This index was created in 1973 based on the study of the effect of the associated diseases on patients with type 2 diabetes during a period of 5 years In this system of comorbidity evaluation all the present in a patient diseases and their complications depending on the level of their damaging effect on body organs are classified as mild moderate and severe In this case the conclusion about cumulative comorbidity is drawn on the basis of the most decompensated biological system This index gives cumulative but less detailed as compared to CIRS assessment of the condition of each of the biological systems 0 Absence of disease 1 Mild course of the disease 2 Moderate disease 3 Severe disease The Kaplan Feinstein Index evaluates comorbidity by cumulative score which can vary from 0 to 36 Apart from that the notable deficiency of this method of evaluating comorbidity is the excessive generalization of diseases nosologies and the absence of a large number of illnesses in the scale which probably should be noted in the miscellaneous column which undermines decreases this method s objectivity and productivity of this method However the indisputable advantage of the Kaplan Feinstein Index as compared to CIRS is in the capability of independent analysis of malignant neoplasms and their severities 79 Using this method patient S s age 73 comorbidity can be evaluated as of moderate severity 16 out of 36 points however its prognostic value is unclear because of the absence of the interpretation of the overall score resulting from the accumulation of the patient s diseases Charlson Index This index is meant for the long term prognosis of comorbid patients and was developed by M E Charlson in 1987 This index is based on a point scoring system from 0 to 40 for the presence of specific associated diseases and is used for prognosis of lethality For its calculation the points are accumulated according to associated diseases as well as the addition of a single point for each 10 years of age for patients of ages above forty years in 50 years 1 point 60 years 2 points etc The distinguishing feature and undisputed advantage of the Charlson Index is the capability of evaluating the patient s age and determination of the patient s mortality rate which in the absence of comorbidity is 12 at 1 2 points it is 26 at 3 4 points it is 52 and with the accumulation of more than 5 points it is 85 Regretfully this method has some deficiencies Evaluating comorbidity severity of many diseases is not considered as well as the absence of many important for prognosis disorders Apart from that it is doubtful that possible prognosis for a patient with bronchial asthma and chronic leukemia is comparable to the prognosis for the patient ailing from myocardial infarction and cerebral infarction 69 In this case comorbidity of patient S 73 years of age according to this method is equivalent to mild state 9 out of 40 points Modified Charlson Index R A Deyo D C Cherkin and Marcia Ciol added chronic forms of ischemic cardiac disorder and the stages of chronic cardiac insufficiency to this index in 1992 80 Elixhauser Index The Elixhauser comorbidity measure include 30 comorbidities which are not simplified as an index Elixhauser shows a better predictive performance for mortality risk especially beyond 30 days of hospitalization 70 Index of Co Existent Disease ICED This Index was first developed in 1993 by S Greenfield to evaluate comorbidity in patients with malignant neoplasms later it also became useful for other categories of patients This method helps in calculating the duration of a patient s stay at a hospital and the risks of repeated admittance of the same at a hospital after going through surgical procedures For the evaluation of comorbidity the ICED index suggests to evaluate the patient s condition separately as per two different components Physiological functional characteristics The first component comprises 19 associated disorders each of which is assessed on a 4 point scale where 0 indicates the absence of disease and 3 indicates the disease s severe form The second component evaluates the effect of associated diseases on the physical condition of the patient It assesses 11 physical functions using a 3 point scale where 0 means normal functionality and 2 means the impossibility of functionality Geriatric Index of Comorbidity GIC Developed in 2002 81 Functional Comorbidity Index FCI Developed in 2005 82 Total Illness Burden Index TIBI Developed in 2007 83 Analyzing the comorbid state of patient S 73 years of age using the most used international comorbidity assessment scales a doctor would come across totally different evaluation The uncertainty of these results would somewhat complicate the doctors judgment about the factual level of severity of the patient s condition and would complicate the process of prescribing rational medicinal therapy for the identified disorders Such problems are faced by doctors on everyday basis despite all their knowledge about medical science The main hurdle in the way of inducting comorbidity evaluation systems in broad based diagnostic therapeutic process is their inconsistency and narrow focus Despite the variety of methods of evaluation of comorbidity the absence of a singular generally accepted method devoid of the deficiencies of the available methods of its evaluation causes disturbance The absence of a unified instrument developed on the basis of colossal international experience as well as the methodology of its use does not allow comorbidity to become doctor friendly At the same time due to the inconsistency in approach to the analysis of comorbid state and absence of components of comorbidity in medical university courses the practitioner is unclear about its prognostic effect which makes the generally available systems of associated pathology evaluation unreasoned and therefore un needed as well Treatment of comorbid patient EditThe effect of comorbid pathologies on clinical implications diagnosis prognosis and therapy of many diseases is polyhedral and patient specific The interrelation of the disease age and drug pathomorphism greatly affect the clinical presentation and progress of the primary nosology character and severity of the complications worsens the patient s life quality and limit or make difficult the remedial diagnostic process Comorbidity affects life prognosis and increases the chances of fatality The presence of comorbid disorders increases bed days disability hinders rehabilitation increases the number of complications after surgical procedures and increases the chances of decline in aged people 84 The presence of comorbidity must be taken into account when selecting the algorithm of diagnosis and treatment plans for any given disease It is important to enquire comorbid patients about the level of functional disorders and anatomic status of all the identified nosological forms diseases Whenever a new as well as mildly notable symptom appears it is necessary to conduct a deep examination to uncover its causes It is also necessary to be remembered that comorbidity leads to polypragmasy polypharmacy i e simultaneous prescription of a large number of medicines which renders impossible the control over the effectiveness of the therapy increases monetary expenses and therefore reduces compliance At the same time polypragmasy especially in aged patients renders possible the sudden development of local and systematic unwanted medicinal side effects These side effects are not always considered by the doctors because they are considered as the appearance of comorbidity and as a result become the reason for the prescription of even more drugs sealing in the vicious circle Simultaneous treatment of multiple disorders requires strict consideration of compatibility of drugs and detailed adherence of rules of rational drug therapy based on E M Tareev s principles which state Each non indicated drug is contraindicated This quote needs a citation and B E Votchal said If the drug does not have any side effects one must think if there is any effect at all This quote needs a citation A study of inpatient hospital data in the United States in 2011 showed that the presence of a major complication or comorbidity was associated with a great risk of intensive care unit utilization ranging from a negligible change for acute myocardial infarction with major complication or comorbidity to nearly nine times more likely for a major joint replacement with major complication or comorbidity 85 See also EditCoinfection Conditions comorbid to autism spectrum disorders Superinfection SyndemicReferences Edit comorbidity Wiktionary 2022 02 07 retrieved 2022 08 18 Valderas Jose M Starfield Barbara Sibbald Bonnie Salisbury Chris Roland Martin 2009 Defining Comorbidity Implications for Understanding Health and Health Services Annals of Family Medicine 7 4 357 63 doi 10 1370 afm 983 PMC 2713155 PMID 19597174 Jakovljevic M Ostojic L June 2013 Comorbidity and multimorbidity in medicine today challenges and opportunities for bringing separated branches of medicine closer to each other Psychiatr Danub 25 Suppl 1 25 Suppl 1 18 28 PMID 23806971 Maj M 2005 Psychiatric comorbidity an artefact of current diagnostic systems Br J Psychiatry 186 3 182 84 doi 10 1192 bjp 186 3 182 PMID 15738496 Multimorbidity a priority for global health research Academy of Medical Sciences 2018 Nicholson Kathryn Makovski Tatjana T Griffith Lauren E Raina 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Bottle Alex December 2012 Systematic review of comorbidity indices for administrative data Medical Care 50 12 1109 18 doi 10 1097 MLR 0b013e31825f64d0 PMID 22929993 S2CID 25852524 a b Evans DC Cook CH Christy JM August 2012 Comorbidity polypharmacy scoring facilitates outcome prediction in older trauma patients J Am Geriatr Soc 60 8 1465 70 doi 10 1111 j 1532 5415 2012 04075 x PMID 22788674 S2CID 40542659 Justiniano CF Coffey RA Evans DC Jan 2015 Comorbidity polypharmacy score predicts in hospital complications and the need for discharge to extended care facility in older burn patients J Burn Care Res 36 1 193 96 doi 10 1097 bcr 0000000000000094 PMID 25559732 S2CID 3677354 Justiniano CF Evans DC Cook CH May 2013 Comorbidity polypharmacy score a novel adjunct in post emergency department trauma triage J Surg Res 181 1 16 19 doi 10 1016 j jss 2012 05 042 PMC 3717608 PMID 22683074 Van Walraven Carl Austin Peter C Jennings Alison Quan Hude Forster Alan J 2009 A Modification of the 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research Application of the Cumulative Illness Rating Scale Psychiatry Research 41 3 237 48 doi 10 1016 0165 1781 92 90005 N PMID 1594710 S2CID 21806654 Kaplan M H Feinstein A R 1973 A critique of methods in reported studies of long term vascular complications in patients with diabetes mellitus Diabetes 22 3 160 74 doi 10 2337 diab 22 3 160 PMID 4689292 S2CID 39418912 Deyo R Cherkin DC Ciol MA 1992 Adapting a clinical comorbidity index for use with ICD 9 CM administrative databases Journal of Clinical Epidemiology 45 6 613 19 doi 10 1016 0895 4356 92 90133 8 PMID 1607900 Rozzini R Frisoni GB Ferrucci L Barbisoni P Sabatini T Ranieri P Guralnik JM Trabucchi M 2002 Geriatric Index of Comorbidity Validation and comparison with other measures of comorbidity Age and Ageing 31 4 277 85 doi 10 1093 ageing 31 4 277 PMID 12147566 Groll D To T Bombardier C Wright J 2005 The development of a comorbidity index with physical function as the outcome Journal of Clinical Epidemiology 58 6 595 602 doi 10 1016 j jclinepi 2004 10 018 PMID 15878473 Litwin Mark S Greenfield Sheldon Elkin Eric P Lubeck Deborah P Broering Jeanette M Kaplan Sherrie H 2007 Assessment of prognosis with the total illness burden index for prostate cancer Cancer 109 9 1777 83 doi 10 1002 cncr 22615 PMID 17354226 S2CID 36052321 Munoz Eric Rosner Fred Friedman Richard Sterman Harris Goldstein Jonathan Wise Leslie 1988 Financial risk hospital cost and complications and comorbidities in medical non complications and comorbidity stratified diagnosis related groups The American Journal of Medicine 84 5 933 39 doi 10 1016 0002 9343 88 90074 5 PMID 3129939 Barrett ML Smith MW Elizhauser A Honigman LS Pines JM December 2014 Utilization of Intensive Care Services 2011 HCUP Statistical Brief 185 Rockville MD Agency for Healthcare Research and Quality PMID 25654157 Further reading EditComorbidity Addiction and Other Mental Illness Rockville MD U S Dept of Health and Human Services National Institutes of Health National Institute on Drug Abuse 2010 Sharabiani M Aylin P Bottle A 2012 Systematic review of comorbidity indices for administrative data Medical Care 50 12 1109 18 doi 10 1097 MLR 0b013e31825f64d0 PMID 22929993 S2CID 25852524 Elixhauser Anne Steiner Claudia Harris D Robert Coffey Rosanna M 1998 Comorbidity Measures for Use with Administrative Data Medical Care 36 1 8 27 doi 10 1097 00005650 199801000 00004 JSTOR 3766985 PMID 9431328 S2CID 29229635 Van Walraven Carl Austin Peter C Jennings Alison Quan Hude Forster Alan J 2009 A Modification of the Elixhauser Comorbidity Measures into a Point System for Hospital Death Using Administrative Data Medical Care 47 6 626 33 doi 10 1097 MLR 0b013e31819432e5 PMID 19433995 S2CID 35832401 External links EditOnline comorbidity scoring tools Archived 2016 03 04 at the Wayback Machine MDCalc Medical calculators equations scores and guidelines Retrieved from https en wikipedia org w index php title Comorbidity amp oldid 1175820543, wikipedia, wiki, book, 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