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Race adjustment

Race adjustment, also known as race-correction,[1][2] is the calculating of a result which takes into account race.[1] It is commonly used in medical algorithms in several specialties, including cardiology, nephrology, urology, obstetrics, endocrinology, oncology and respiratory medicine.[1] Examples include the eGFR to assess kidney function,[1] the STONE score for the prediction of kidney stones,[1][3] the FRAX tool, to evaluate the 10-year probability of bone fracture risk,[1][4] and lung function tests, to identify the severity of lung disease.[1][5]

Types and medical uses edit

Adjustments for race are commonly used in several medical specialties, including cardiology, nephrology, urology, obstetrics, endocrinology, oncology and respiratory medicine.[1] Examples include the eGFR to assess kidney function,[1] the STONE score for the prediction of kidney stones,[1][3] the FRAX tool, to evaluate the 10-year probability of bone fracture risk,[1][4] and lung function tests, to identify the severity of lung disease.[1][5]

Nephrology edit

The estimated glomerular filtration rate (eGFR) is a measure of kidney function.[6] Adding a race adjustment to kidney algorithms results in higher eGFR values in people identified as black.[7][8][9] Reasons for this vary, but it is thought to partially stem from the notion that Black persons are more muscular.[8] This idea has come under greater scrutiny, with certain institutions choosing to deviate from the race-adjusted model as a result.[10]

Kidney transplants also have racial implications, both direct and indirect. The Kidney Donor Risk Index (KDRI), the United States' official kidney allocation index, was developed in 2014.[11] Race is among the factors used to predict the success of a kidney graft, with Black donors' kidneys often thought to perform worse than kidneys from other donors.[12] Being Black results in a demarcation as a less preferable donor by the KDRI.[13] This creates a snowball effect, with less kidneys from Black donors in the system. In turn, Black people in need of kidney donations are affected. Black people already face longer wait times than people of other races in need of kidney transplants. Black people are more likely to receive a kidney transplant from a Black donor, according to recent studies.[13] This lack of resources can exacerbate the already lengthy wait times. In recent years, some professionals have called attention to these disparities, advocating to replace "the vagaries associated with inclusion of a variable termed 'race'."[12]

Obstetrics edit

In the United States, African American and Hispanic women continue to have higher rates of cesarean section than do white women in the US.[14] Medical decision making formulas such as the Vaginal Birth after Cesarean (VBAC) algorithm have been found to contribute to such disparities for women of color. The VBAC is used to estimate success rates for vaginal birth among expectant mothers with histories of previous cesarean delivery and is used by clinicians to counsel whether to offer trials of labor or repeat cesarean section.[15] There are two race-based correction factors incorporated in the formula, one for African American women and one for Hispanic women. These factors are subtracted from the likelihood of having a successful vaginal birth after Cesarean and thus inherently predict a lower risk of vaginal birth success for African American and Hispanic individuals.[16] These lower estimates may discourage health providers from offering trials of vaginal labor to expectant women of color, although the health benefits of vaginal birth (lower rates of surgical complication, faster recovery, fewer complication in later pregnancies) have been well documented.[17] These race/ethnicity associations have been challenged by health providers since they have not been thoroughly supported by biology and are concerning as black women have higher rates of maternal mortality.[18]

Pulmonology edit

Spirometers are devices that measure lung volume and airflow. They are used for the diagnosis and monitoring of several respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD).[19] In the United States, spirometers use "correction factors" for individuals labelled as Black (10-15%) or Asian (4-6%).[17] There have been several concerns about equity in these lung function formulas including the misdiagnosis of disease severity in asthma and COPD.[20] Recent interest in investigating the basis for why these correction factors came to be spawned a systematic review of 226 articles published between 1922 and 2008 that found that less than one in five studies defined race and that researchers frequently assumed inherent or genetic differences.[21] Supporters of using race adjustment in lung function argue that despite its imperfections, correcting for race results in a more precise calculation of lung function and that not including the adjustment may result in misdiagnosis.[22]

History edit

Racially-biased discourse was pervasive in the development of Western medical thought. Carl Linnaeus, a Swedish physician, labeled five varieties of the human species by their physiognomic characteristics.[23] He included characteristics such as hair type and skin thickness, but also relative characteristics relating to greed, honor, and laziness.[23]

Charles White. an English physician and surgeon, further believed that different races were aligned on a "Great Chain of Being".[24] His beliefs espoused different origins for different races, claiming that white and black people were different species entirely.[24] While others, such as French naturalist Georges-Louis Leclerc and German anatomist Johann Blumenbach believed all races came from a single origin point, but that the races degenerated over time to form distinct differences based on environmental factors.[25] Others like Thomas Jefferson believed that there was obvious racial inferiority between white and Black persons, calling on science to explore it further.[26] While Charles Darwin believed in the basic equality of the human species, his ideas were adapted by social theorists like Francis Galton who coined the term eugenics in his book Inquiries into Human Faculty and Its Development published in 1883.[27]

Influence of slavery and eugenics on medical practices edit

Perceived differences in race were used to justify slavery in the United States and these beliefs impacted medical treatment and experimentation on Black persons in the United States.[28] Medical treatment of Black persons in the United States came into specific focus after 1808, after a federal ban on slave imports was implemented.[29] Physicians such as J Marion Sims started to focus on the existing Black population, attempting to observe and use Black slaves for medical reasons.[30][29] Some of these treatments and experiments were for the broader medical community, others were to increase birth rates and therefore domestic slave populations. Sims, for instance, the father of modern gynecology, performed surgery on twelve women in the 1840s from his backyard in Montgomery, Alabama.[31] All of the women were enslaved.[31] As modern medical science grew, it developed in conjunction with notions of racism, derived from both experiments and societal sentiments. These factors embedded a sense of racial difference and inequity that persists today. In the modern United States, for instance, Black women are sometimes three to four times more likely to die from issues during pregnancy compared to white women.[29]

Experimentation was widespread among medical students and professionals alike. In the 19th century, many American medical schools used Black bodies stolen through grave robbing for dissection and medical experimentation.[32] This thought process of viewing Black bodies and persons, alive or dead, as an "other", ripe for experimentation, persisted well into the Jim Crow era. For instance, the Tuskegee Experiment, initiated in 1932 and ending in 1972, infected Black men with syphilis against their knowledge, leading to over 100 deaths.[33]

This experimentation went hand in hand with a legacy of colonialism. Colonies served as ample testing grounds for medical advancements by European and North American medical professionals.[34][35] Honor Smith, a British physician at Oxford University, was jovial about the opportunity to test on colonial populations; in 1955, he stated, "[I]t is the almost unlimited field that Africa offers for clinical research that I find so enthralling…problems of the first interest abound, [and] clinical material is unlimited."[36]

These experiments coincided with developments in anthropology and theory around race, with many prevalent thinkers of the time believing there to be distinct differences, even distinct origins between different races.[26] After World War II, scientific racism and eugenics began to be dismissed at large by the scientific community. While certain experiments and explicitly eugenicist thought continued, many of the theories surrounding racial difference and eugenic superiority were discredited and pushed out of the mainstream.[37] Certain medical practices such as equations and decision-making tools continued with these biases in mind. As the internet developed, diagnostic tools were often based on decision-making tools embedded with a perceived racial difference.[38] In the 21st century, these tools and methods have come under more scrutiny.[38]

Society, culture and research edit

As understanding of race and ethnicity has evolved, advocates for change, such as Lundy Braun, have questioned the assumptions that some medical decision-making tools and formulas are based upon.[1][5] These formulas have been documented[1] to result in the denial of certain resources and treatment options to people identified as black.[39] However, Neil R. Powe, professor of medicine and researcher in health disparities and co-author on a study of the implications of omitting the race adjustment in eGFR calculations, highlights the risks in leaving it out.[40]

In recent years, students, petitions and social media campaigns have recently been at the forefront for driving medical institutions to change the way they utilize certain clinical decision-making tools such as eGFR calculations.[41] In 2017, Beth Israel Medical Centre eliminated the race factor in calculating kidney function.[38] In May 2020, through medical student advocacy to their administration, the University of Washington transitioned to a new eGFR calculation that excludes race as a variable.[42]

See also edit

References edit

  1. ^ a b c d e f g h i j k l m n Vyas, Darshali A.; Eisenstein, Leo G.; Jones, David S. (27 August 2020). "Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms". New England Journal of Medicine. 383 (9): 874–882. doi:10.1056/NEJMms2004740. ISSN 0028-4793. PMID 32853499.
  2. ^ Costanza-Chock, Sasha (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press. p. 41. ISBN 978-0-262-04345-8.
  3. ^ a b Wang, Ralph C.; Rodriguez, Robert M.; Moghadassi, Michelle; Noble, Vicki; Bailitz, John; Mallin, Mike; Corbo, Jill; Kang, Tarina L.; Chu, Phillip; Shiboski, Steve; Smith-Bindman, Rebecca (April 2016). "External Validation of the STONE Score, a Clinical Prediction Rule for Ureteral Stone: An Observational Multi-institutional Study". Annals of Emergency Medicine. 67 (4): 423–432.e2. doi:10.1016/j.annemergmed.2015.08.019. ISSN 0196-0644. PMC 4808407. PMID 26440490.
  4. ^ a b Almoallim, Hani (2016). Skills in Rheumatology. Elsevier Health Sciences. p. 224. ISBN 978-0-7020-7454-7.
  5. ^ a b c Braun, Lundy (2015). "Race, ethnicity and lung function: A brief history". Canadian Journal of Respiratory Therapy. 51 (4): 99–101. ISSN 1205-9838. PMC 4631137. PMID 26566381.
  6. ^ "eGFR calculator". pathlabs.rlbuht.nhs.uk. Retrieved 19 April 2021.
  7. ^ Levey, Andrew S.; Stevens, Lesley A.; Schmid, Christopher H.; Zhang, Yaping (Lucy); Castro, Alejandro F.; Feldman, Harold I.; Kusek, John W.; Eggers, Paul; Van Lente, Frederick; Greene, Tom; Coresh, Josef (5 May 2009). "A New Equation to Estimate Glomerular Filtration Rate". Annals of Internal Medicine. 150 (9): 604–612. doi:10.7326/0003-4819-150-9-200905050-00006. ISSN 0003-4819. PMC 2763564. PMID 19414839.
  8. ^ a b Eneanya, Nwamaka Denise; Yang, Wei; Reese, Peter Philip (2019-07-09). "Reconsidering the Consequences of Using Race to Estimate Kidney Function". JAMA. 322 (2): 113–114. doi:10.1001/jama.2019.5774. ISSN 0098-7484. PMID 31169890. S2CID 174811377.
  9. ^ Levey, Andrew S.; Tighiouart, Hocine; Titan, Silvia M.; Inker, Lesley A. (1 May 2020). "Estimation of Glomerular Filtration Rate With vs Without Including Patient Race". JAMA Internal Medicine. 180 (5): 793–795. doi:10.1001/jamainternmed.2020.0045. ISSN 2168-6106. PMC 7076535. PMID 32176270.
  10. ^ Hsu, Joy; Johansen, Kirsten L.; Hsu, Chi-yuan; Kaysen, George A.; Chertow, Glenn M. (2008-07-01). "Higher Serum Creatinine Concentrations in Black Patients with Chronic Kidney Disease: Beyond Nutritional Status and Body Composition". Clinical Journal of the American Society of Nephrology. 3 (4): 992–997. doi:10.2215/CJN.00090108. ISSN 1555-9041. PMC 2440282. PMID 18417750.
  11. ^ Rao, Panduranga S.; Schaubel, Douglas E.; Guidinger, Mary K.; Andreoni, Kenneth A.; Wolfe, Robert A.; Merion, Robert M.; Port, Friedrich K.; Sung, Randall S. (2009-07-27). "A Comprehensive Risk Quantification Score for Deceased Donor Kidneys: The Kidney Donor Risk Index". Transplantation. 88 (2): 231–236. doi:10.1097/TP.0b013e3181ac620b. ISSN 0041-1337. PMID 19623019. S2CID 10388164.
  12. ^ a b Julian, B. A.; Gaston, R. S.; Brown, W. M.; Reeves‐Daniel, A. M.; Israni, A. K.; Schladt, D. P.; Pastan, S. O.; Mohan, S.; Freedman, B. I.; Divers, J. (2017). "Effect of Replacing Race With Apolipoprotein L1 Genotype in Calculation of Kidney Donor Risk Index". American Journal of Transplantation. 17 (6): 1540–1548. doi:10.1111/ajt.14113. ISSN 1600-6143. PMC 5429996. PMID 27862962.
  13. ^ a b Cannon, R. M.; Brock, G. N.; Marvin, M. R.; Slakey, D. P.; Buell, J. F. (2012). "The Contribution of Donor Quality to Differential Graft Survival in African American and Caucasian Renal Transplant Recipients". American Journal of Transplantation. 12 (7): 1776–1783. doi:10.1111/j.1600-6143.2012.04091.x. ISSN 1600-6143. PMID 22594464. S2CID 26039487.
  14. ^ Curtin, Sally C.; Kozak, Lola Jean (December 1998). "Decline in U.S. Cesarean Delivery Rate Appears to Stall". Birth. 25 (4): 259–262. doi:10.1046/j.1523-536x.1998.00259.x. ISSN 0730-7659. PMID 9892895.
  15. ^ "VAGINAL BIRTH AFTER CESAREAN". mfmunetwork.bsc.gwu.edu. Retrieved 2020-10-17.
  16. ^ Grobman, William A.; Lai, Yinglei; Landon, Mark B.; Spong, Catherine Y.; Leveno, Kenneth J.; Rouse, Dwight J.; Varner, Michael W.; Moawad, Atef H.; Caritis, Steve N.; Harper, Margaret; Wapner, Ronald J. (April 2007). "Development of a Nomogram for Prediction of Vaginal Birth After Cesarean Delivery". Obstetrics & Gynecology. 109 (4): 806–812. doi:10.1097/01.aog.0000259312.36053.02. ISSN 0029-7844. PMID 17400840. S2CID 25615796.
  17. ^ a b Vyas, Darshali A.; Eisenstein, Leo G.; Jones, David S. (2020-08-27). "Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms". New England Journal of Medicine. 383 (9): 874–882. doi:10.1056/NEJMms2004740. ISSN 0028-4793. PMID 32853499.
  18. ^ Vyas, Darshali A.; Jones, David S.; Meadows, Audra R.; Diouf, Khady; Nour, Nawal M.; Schantz-Dunn, Julianna (May 2019). "Challenging the Use of Race in the Vaginal Birth after Cesarean Section Calculator". Women's Health Issues. 29 (3): 201–204. doi:10.1016/j.whi.2019.04.007. ISSN 1049-3867. PMID 31072754.
  19. ^ Burney, P.; Jarvis, D.; Perez-Padilla, R. (January 2015). "The global burden of chronic respiratory disease in adults". The International Journal of Tuberculosis and Lung Disease. 19 (1): 10–20. doi:10.5588/ijtld.14.0446. ISSN 1815-7920. PMID 25519785.
  20. ^ Kumar, Rajesh; Seibold, Max A.; Aldrich, Melinda C.; Williams, L. Keoki; Reiner, Alex P.; Colangelo, Laura; Galanter, Joshua; Gignoux, Christopher; Hu, Donglei; Sen, Saunak; Choudhry, Shweta (22 July 2010). "Genetic Ancestry in Lung-Function Predictions". New England Journal of Medicine. 363 (4): 321–330. doi:10.1056/NEJMoa0907897. ISSN 0028-4793. PMC 2922981. PMID 20647190.
  21. ^ Braun, Lundy; Wolfgang, Melanie; Dickersin, Kay (1 June 2013). "Defining race/ethnicity and explaining difference in research studies on lung function". European Respiratory Journal. 41 (6): 1362–1370. doi:10.1183/09031936.00091612. ISSN 0903-1936. PMID 22878881. S2CID 3092122.
  22. ^ Skalski, Joseph H.; Gibson, Rachel A.; Narotzky, Sarah A.; Yadav, Hemang; Scanlon, Paul D. (2016). "5. Health Disparities and pulmonary function testing". In Gerald, Lynn B.; Berry, Cristine E. (eds.). Health Disparities in Respiratory Medicine. Switzerland: Humana Press. p. 101. doi:10.1007/978-3-319-23675-9. ISBN 978-3-319-23674-2. ISSN 2197-7372. LCCN 2015947791.
  23. ^ a b Linné, Carl von (1767). Caroli a Linné ... Systema naturae,: per regna tria naturae, secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis (in Latin). Typis Ioannis Thomae.
  24. ^ a b Jackson, John P.; Weidman, Nadine M. (2004). Race, Racism, and Science: Social Impact and Interaction. ABC-CLIO. ISBN 978-1-85109-448-6.
  25. ^ Harris, Marvin (2001-08-14). The Rise of Anthropological Theory: A History of Theories of Culture. AltaMira Press. ISBN 978-0-7591-1699-3.
  26. ^ a b Garrod, Joel Z. (January 2006). "A Brave Old World: An Analysis of Scientific Racism and BiDil®". McGill Journal of Medicine. 9 (1): 54–60. ISSN 1201-026X. PMC 2687899. PMID 19529811.
  27. ^ Claeys, Gregory (2000). "The "Survival of the Fittest" and the Origins of Social Darwinism". Journal of the History of Ideas. 61 (2): 223–240. doi:10.1353/jhi.2000.0014. ISSN 1086-3222. S2CID 146267804.
  28. ^ Alexander Thomas and Samuell Sillen (1972). Racism and Psychiatry. New York: Carol Publishing Group.
  29. ^ a b c Bachynski, Kathleen. "Perspective | American medicine was built on the backs of slaves. And it still affects how doctors treat patients today". Washington Post. ISSN 0190-8286. Retrieved 2020-10-17.
  30. ^ Vernon, Leonard F. (2019-08-01). "J. Marion Sims, MD: Why He and His Accomplishments Need to Continue to be Recognized a Commentary and Historical Review". Journal of the National Medical Association. 111 (4): 436–446. doi:10.1016/j.jnma.2019.02.002. ISSN 0027-9684. PMID 30851980.
  31. ^ a b Kapsalis, Terri (2002). "Mastering the Female Pelvis: Race and the Tools of Reproduction". In Wallace-Sanders, Kimberly (ed.). Skin Deep, Spirit Strong: The Black Female Body in American Culture (PDF). Ann Arbor, MI: University of Michigan Press. pp. 263–300. ISBN 978-0472067077.
  32. ^ Meier, Allison C. (2018-08-24). "Grave Robbing, Black Cemeteries, and the American Medical School". JSTOR Daily. Retrieved 2020-10-17.
  33. ^ "Tuskegee Study - Timeline - CDC - NCHHSTP". www.cdc.gov. 2020-07-16. Retrieved 2020-10-17.
  34. ^ Tilley, Helen (2016-07-01). "Medicine, Empires, and Ethics in Colonial Africa". AMA Journal of Ethics. 18 (7): 743–753. doi:10.1001/journalofethics.2016.18.7.mhst1-1607. ISSN 2376-6980. PMID 27437825.
  35. ^ Tilley, Helen (2011-04-15). Africa as a Living Laboratory: Empire, Development, and the Problem of Scientific Knowledge, 1870-1950. University of Chicago Press. ISBN 978-0-226-80348-7.
  36. ^ Smith, Honor (1955-01-01). "Medicine in Africa as I have seen It". African Affairs. 54 (214): 28–36. doi:10.1093/oxfordjournals.afraf.a094264. ISSN 0001-9909.
  37. ^ Kevles, Daniel J. (1985). In the Name of Eugenics: Genetics and the Uses of Human Heredity. Harvard University Press. ISBN 9780674445574.
  38. ^ a b c Kolata, Gina (2020-07-21). "Many Medical Decision Tools Disadvantage Black Patients". The New York Times. ISSN 0362-4331. Retrieved 2020-10-17.
  39. ^ Obermeyer, Ziad; Powers, Brian; Vogeli, Christine; Mullainathan, Sendhil (25 October 2019). "Dissecting racial bias in an algorithm used to manage the health of populations". Science. 366 (6464): 447–453. Bibcode:2019Sci...366..447O. doi:10.1126/science.aax2342. ISSN 0036-8075. PMID 31649194. S2CID 204881868.
  40. ^ . www.medpagetoday.com. 2 December 2020. Archived from the original on 20 April 2021. Retrieved 20 April 2021.
  41. ^ "Push to remove racist bias from kidney testing gains new ground". STAT. 17 July 2020. Retrieved 2020-10-17.
  42. ^ "UW Medicine to exclude race from calculation of eGFR (measure of kidney function) | Department of Medicine | University of Washington". medicine.uw.edu. Retrieved 2020-10-17.

race, adjustment, also, known, race, correction, calculating, result, which, takes, into, account, race, commonly, used, medical, algorithms, several, specialties, including, cardiology, nephrology, urology, obstetrics, endocrinology, oncology, respiratory, me. Race adjustment also known as race correction 1 2 is the calculating of a result which takes into account race 1 It is commonly used in medical algorithms in several specialties including cardiology nephrology urology obstetrics endocrinology oncology and respiratory medicine 1 Examples include the eGFR to assess kidney function 1 the STONE score for the prediction of kidney stones 1 3 the FRAX tool to evaluate the 10 year probability of bone fracture risk 1 4 and lung function tests to identify the severity of lung disease 1 5 Contents 1 Types and medical uses 1 1 Nephrology 1 2 Obstetrics 1 3 Pulmonology 2 History 2 1 Influence of slavery and eugenics on medical practices 3 Society culture and research 4 See also 5 ReferencesTypes and medical uses editAdjustments for race are commonly used in several medical specialties including cardiology nephrology urology obstetrics endocrinology oncology and respiratory medicine 1 Examples include the eGFR to assess kidney function 1 the STONE score for the prediction of kidney stones 1 3 the FRAX tool to evaluate the 10 year probability of bone fracture risk 1 4 and lung function tests to identify the severity of lung disease 1 5 Nephrology edit The estimated glomerular filtration rate eGFR is a measure of kidney function 6 Adding a race adjustment to kidney algorithms results in higher eGFR values in people identified as black 7 8 9 Reasons for this vary but it is thought to partially stem from the notion that Black persons are more muscular 8 This idea has come under greater scrutiny with certain institutions choosing to deviate from the race adjusted model as a result 10 Kidney transplants also have racial implications both direct and indirect The Kidney Donor Risk Index KDRI the United States official kidney allocation index was developed in 2014 11 Race is among the factors used to predict the success of a kidney graft with Black donors kidneys often thought to perform worse than kidneys from other donors 12 Being Black results in a demarcation as a less preferable donor by the KDRI 13 This creates a snowball effect with less kidneys from Black donors in the system In turn Black people in need of kidney donations are affected Black people already face longer wait times than people of other races in need of kidney transplants Black people are more likely to receive a kidney transplant from a Black donor according to recent studies 13 This lack of resources can exacerbate the already lengthy wait times In recent years some professionals have called attention to these disparities advocating to replace the vagaries associated with inclusion of a variable termed race 12 Obstetrics edit In the United States African American and Hispanic women continue to have higher rates of cesarean section than do white women in the US 14 Medical decision making formulas such as the Vaginal Birth after Cesarean VBAC algorithm have been found to contribute to such disparities for women of color The VBAC is used to estimate success rates for vaginal birth among expectant mothers with histories of previous cesarean delivery and is used by clinicians to counsel whether to offer trials of labor or repeat cesarean section 15 There are two race based correction factors incorporated in the formula one for African American women and one for Hispanic women These factors are subtracted from the likelihood of having a successful vaginal birth after Cesarean and thus inherently predict a lower risk of vaginal birth success for African American and Hispanic individuals 16 These lower estimates may discourage health providers from offering trials of vaginal labor to expectant women of color although the health benefits of vaginal birth lower rates of surgical complication faster recovery fewer complication in later pregnancies have been well documented 17 These race ethnicity associations have been challenged by health providers since they have not been thoroughly supported by biology and are concerning as black women have higher rates of maternal mortality 18 Pulmonology edit Spirometers are devices that measure lung volume and airflow They are used for the diagnosis and monitoring of several respiratory diseases such as asthma and chronic obstructive pulmonary disease COPD 19 In the United States spirometers use correction factors for individuals labelled as Black 10 15 or Asian 4 6 17 There have been several concerns about equity in these lung function formulas including the misdiagnosis of disease severity in asthma and COPD 20 Recent interest in investigating the basis for why these correction factors came to be spawned a systematic review of 226 articles published between 1922 and 2008 that found that less than one in five studies defined race and that researchers frequently assumed inherent or genetic differences 21 Supporters of using race adjustment in lung function argue that despite its imperfections correcting for race results in a more precise calculation of lung function and that not including the adjustment may result in misdiagnosis 22 History editRacially biased discourse was pervasive in the development of Western medical thought Carl Linnaeus a Swedish physician labeled five varieties of the human species by their physiognomic characteristics 23 He included characteristics such as hair type and skin thickness but also relative characteristics relating to greed honor and laziness 23 Charles White an English physician and surgeon further believed that different races were aligned on a Great Chain of Being 24 His beliefs espoused different origins for different races claiming that white and black people were different species entirely 24 While others such as French naturalist Georges Louis Leclerc and German anatomist Johann Blumenbach believed all races came from a single origin point but that the races degenerated over time to form distinct differences based on environmental factors 25 Others like Thomas Jefferson believed that there was obvious racial inferiority between white and Black persons calling on science to explore it further 26 While Charles Darwin believed in the basic equality of the human species his ideas were adapted by social theorists like Francis Galton who coined the term eugenics in his book Inquiries into Human Faculty and Its Development published in 1883 27 Influence of slavery and eugenics on medical practices edit Perceived differences in race were used to justify slavery in the United States and these beliefs impacted medical treatment and experimentation on Black persons in the United States 28 Medical treatment of Black persons in the United States came into specific focus after 1808 after a federal ban on slave imports was implemented 29 Physicians such as J Marion Sims started to focus on the existing Black population attempting to observe and use Black slaves for medical reasons 30 29 Some of these treatments and experiments were for the broader medical community others were to increase birth rates and therefore domestic slave populations Sims for instance the father of modern gynecology performed surgery on twelve women in the 1840s from his backyard in Montgomery Alabama 31 All of the women were enslaved 31 As modern medical science grew it developed in conjunction with notions of racism derived from both experiments and societal sentiments These factors embedded a sense of racial difference and inequity that persists today In the modern United States for instance Black women are sometimes three to four times more likely to die from issues during pregnancy compared to white women 29 Experimentation was widespread among medical students and professionals alike In the 19th century many American medical schools used Black bodies stolen through grave robbing for dissection and medical experimentation 32 This thought process of viewing Black bodies and persons alive or dead as an other ripe for experimentation persisted well into the Jim Crow era For instance the Tuskegee Experiment initiated in 1932 and ending in 1972 infected Black men with syphilis against their knowledge leading to over 100 deaths 33 This experimentation went hand in hand with a legacy of colonialism Colonies served as ample testing grounds for medical advancements by European and North American medical professionals 34 35 Honor Smith a British physician at Oxford University was jovial about the opportunity to test on colonial populations in 1955 he stated I t is the almost unlimited field that Africa offers for clinical research that I find so enthralling problems of the first interest abound and clinical material is unlimited 36 These experiments coincided with developments in anthropology and theory around race with many prevalent thinkers of the time believing there to be distinct differences even distinct origins between different races 26 After World War II scientific racism and eugenics began to be dismissed at large by the scientific community While certain experiments and explicitly eugenicist thought continued many of the theories surrounding racial difference and eugenic superiority were discredited and pushed out of the mainstream 37 Certain medical practices such as equations and decision making tools continued with these biases in mind As the internet developed diagnostic tools were often based on decision making tools embedded with a perceived racial difference 38 In the 21st century these tools and methods have come under more scrutiny 38 Society culture and research editAs understanding of race and ethnicity has evolved advocates for change such as Lundy Braun have questioned the assumptions that some medical decision making tools and formulas are based upon 1 5 These formulas have been documented 1 to result in the denial of certain resources and treatment options to people identified as black 39 However Neil R Powe professor of medicine and researcher in health disparities and co author on a study of the implications of omitting the race adjustment in eGFR calculations highlights the risks in leaving it out 40 In recent years students petitions and social media campaigns have recently been at the forefront for driving medical institutions to change the way they utilize certain clinical decision making tools such as eGFR calculations 41 In 2017 Beth Israel Medical Centre eliminated the race factor in calculating kidney function 38 In May 2020 through medical student advocacy to their administration the University of Washington transitioned to a new eGFR calculation that excludes race as a variable 42 See also editRace and health Race and health in the United StatesReferences edit a b c d e f g h i j k l m n Vyas Darshali A Eisenstein Leo G Jones David S 27 August 2020 Hidden in Plain Sight Reconsidering the Use of Race Correction in Clinical Algorithms New England Journal of Medicine 383 9 874 882 doi 10 1056 NEJMms2004740 ISSN 0028 4793 PMID 32853499 Costanza Chock Sasha 2020 Design Justice Community Led Practices to Build the Worlds We Need MIT Press p 41 ISBN 978 0 262 04345 8 a b Wang Ralph C Rodriguez Robert M Moghadassi Michelle Noble Vicki Bailitz John Mallin Mike Corbo Jill Kang Tarina L Chu Phillip Shiboski Steve Smith Bindman Rebecca April 2016 External Validation of the STONE Score a Clinical Prediction Rule for Ureteral Stone An Observational Multi institutional Study Annals of Emergency Medicine 67 4 423 432 e2 doi 10 1016 j annemergmed 2015 08 019 ISSN 0196 0644 PMC 4808407 PMID 26440490 a b Almoallim Hani 2016 Skills in Rheumatology Elsevier Health Sciences p 224 ISBN 978 0 7020 7454 7 a b c Braun Lundy 2015 Race ethnicity and lung function A brief history Canadian Journal of Respiratory Therapy 51 4 99 101 ISSN 1205 9838 PMC 4631137 PMID 26566381 eGFR calculator pathlabs rlbuht nhs uk Retrieved 19 April 2021 Levey Andrew S Stevens Lesley A Schmid Christopher H Zhang Yaping Lucy Castro Alejandro F Feldman Harold I Kusek John W Eggers Paul Van Lente Frederick Greene Tom Coresh Josef 5 May 2009 A New Equation to Estimate Glomerular Filtration Rate Annals of Internal Medicine 150 9 604 612 doi 10 7326 0003 4819 150 9 200905050 00006 ISSN 0003 4819 PMC 2763564 PMID 19414839 a b Eneanya Nwamaka Denise Yang Wei Reese Peter Philip 2019 07 09 Reconsidering the Consequences of Using Race to Estimate Kidney Function JAMA 322 2 113 114 doi 10 1001 jama 2019 5774 ISSN 0098 7484 PMID 31169890 S2CID 174811377 Levey Andrew S Tighiouart Hocine Titan Silvia M Inker Lesley A 1 May 2020 Estimation of Glomerular Filtration Rate With vs Without Including Patient Race JAMA Internal Medicine 180 5 793 795 doi 10 1001 jamainternmed 2020 0045 ISSN 2168 6106 PMC 7076535 PMID 32176270 Hsu Joy Johansen Kirsten L Hsu Chi yuan Kaysen George A Chertow Glenn M 2008 07 01 Higher Serum Creatinine Concentrations in Black Patients with Chronic Kidney Disease Beyond Nutritional Status and Body Composition Clinical Journal of the American Society of Nephrology 3 4 992 997 doi 10 2215 CJN 00090108 ISSN 1555 9041 PMC 2440282 PMID 18417750 Rao Panduranga S Schaubel Douglas E Guidinger Mary K Andreoni Kenneth A Wolfe Robert A Merion Robert M Port Friedrich K Sung Randall S 2009 07 27 A Comprehensive Risk Quantification Score for Deceased Donor Kidneys The Kidney Donor Risk Index Transplantation 88 2 231 236 doi 10 1097 TP 0b013e3181ac620b ISSN 0041 1337 PMID 19623019 S2CID 10388164 a b Julian B A Gaston R S Brown W M Reeves Daniel A M Israni A K Schladt D P Pastan S O Mohan S Freedman B I Divers J 2017 Effect of Replacing Race With Apolipoprotein L1 Genotype in Calculation of Kidney Donor Risk Index American Journal of Transplantation 17 6 1540 1548 doi 10 1111 ajt 14113 ISSN 1600 6143 PMC 5429996 PMID 27862962 a b Cannon R M Brock G N Marvin M R Slakey D P Buell J F 2012 The Contribution of Donor Quality to Differential Graft Survival in African American and Caucasian Renal Transplant Recipients American Journal of Transplantation 12 7 1776 1783 doi 10 1111 j 1600 6143 2012 04091 x 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00091612 ISSN 0903 1936 PMID 22878881 S2CID 3092122 Skalski Joseph H Gibson Rachel A Narotzky Sarah A Yadav Hemang Scanlon Paul D 2016 5 Health Disparities and pulmonary function testing In Gerald Lynn B Berry Cristine E eds Health Disparities in Respiratory Medicine Switzerland Humana Press p 101 doi 10 1007 978 3 319 23675 9 ISBN 978 3 319 23674 2 ISSN 2197 7372 LCCN 2015947791 a b Linne Carl von 1767 Caroli a Linne Systema naturae per regna tria naturae secundum classes ordines genera species cum characteribus differentiis synonymis locis in Latin Typis Ioannis Thomae a b Jackson John P Weidman Nadine M 2004 Race Racism and Science Social Impact and Interaction ABC CLIO ISBN 978 1 85109 448 6 Harris Marvin 2001 08 14 The Rise of Anthropological Theory A History of Theories of Culture AltaMira Press ISBN 978 0 7591 1699 3 a b Garrod Joel Z January 2006 A Brave Old World An Analysis of Scientific Racism and BiDil McGill Journal of Medicine 9 1 54 60 ISSN 1201 026X PMC 2687899 PMID 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Powers Brian Vogeli Christine Mullainathan Sendhil 25 October 2019 Dissecting racial bias in an algorithm used to manage the health of populations Science 366 6464 447 453 Bibcode 2019Sci 366 447O doi 10 1126 science aax2342 ISSN 0036 8075 PMID 31649194 S2CID 204881868 Leave Race Out of Kidney Function Estimates www medpagetoday com 2 December 2020 Archived from the original on 20 April 2021 Retrieved 20 April 2021 Push to remove racist bias from kidney testing gains new ground STAT 17 July 2020 Retrieved 2020 10 17 UW Medicine to exclude race from calculation of eGFR measure of kidney function Department of Medicine University of Washington medicine uw edu Retrieved 2020 10 17 Retrieved from https en wikipedia org w index php title Race adjustment amp oldid 1183996361, wikipedia, wiki, book, books, library,

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