Posted on May 10, 2021

Race Correction in Medicine: A Fight Brewing in America’s Hospitals

Jacque Smith and Cassie Spodak, CNN, April 27, 2021

When she first learned about race correction, Naomi Nkinsi was one of five Black medical students in her class at the University of Washington.

Nkinsi remembers the professor talking about an equation doctors use to measure kidney function. The professor said eGFR equations adjust for several variables, including the patient’s age, sex and race. When it comes to race, doctors have only two options: Black or “Other.”

Nkinsi was dumbfounded.

“It was really shocking to me,” says Nkinsi, now a third-year medical and masters of public health student, “to come into school and see that not only is there interpersonal racism between patients and physicians … there’s actually racism built into the very algorithms that we use.”

At the heart of a controversy brewing in America’s hospitals is a simple belief, medical students say: Math shouldn’t be racist. {snip}

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Carolyn Roberts, a historian of medicine and science at Yale University, says slavery and the American medical system were in a codependent relationship for much of the 19th century and well into the 20th.

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Race correction is the use of a patient’s race in a scientific equation that can influence how they are treated. In other words, some diagnostic algorithms and risk predictor tools adjust or “correct” their results based on a person’s race.

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Turns out, second-year medical student Carina Seah wryly told CNN, math is as racist as the people who make it.

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The biggest problem with using race in medicine? Race isn’t a biological category. It’s a social one.

“It’s based on this idea that human beings are naturally divided into these big groups called races,” says Dorothy Roberts, a professor of law and sociology at the University of Pennsylvania, who has made challenging race correction in medicine her life’s work. “But that’s not what race is. Race is a completely invented social category. The very idea that human beings are divided into races is a made-up idea.”

Ancestry is biological. Where we come from — or more accurately, who we come from — impacts our DNA. But a patient’s skin color isn’t always an accurate reflection of their ancestry.

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After she learned about the eGFR equation in 2018, Nkinsi began asking questions about race correction. She wasn’t alone — on social media she found other students struggling with the use of race in medicine. In the spring of 2020, following a first-year physiology lecture, Seah joined the conversation. {snip}

Then on May 25, 2020, George Floyd was killed by police in Minneapolis.

His death and the growing momentum around Black Lives Matter helped ignite what Dr. Darshali A. Vyas calls an “overdue reckoning” in the medical community around race and race correction. A few institutions had already taken steps to remove race from the eGFR equation. Students across the country demanded more, and hospitals began to listen.

Four days after Floyd’s death, the University of Washington announced it was removing race correction from the eGFR equation. In June, the Boston-based hospital system Mass General Brigham where Vyas is a second-year Internal Medicine resident followed suit. Seah and a fellow student at Mount Sinai, Paloma Orozco Scott, started an online petition and collected over 1600 signatures asking their hospital to do the same.

Studies show removing race from the eGFR equation will change how patients at those hospitals are treated. Researchers from Brigham and Women’s Hospital and Penn Medicine estimated up to one in every three Black patients with kidney disease would have been reclassified if the race multiplier wasn’t applied in earlier calculations, with a quarter going from stage 3 to stage 4 CKD (Chronic Kidney Disease).

That reclassification is good and bad, says Dr. Neil Powe, chief of medicine at Zuckerberg San Francisco General Hospital. Black patients newly diagnosed with kidney disease will be able to see specialists who can devise better treatment plans. And more patients will be placed on kidney transplant lists.

On the flip side, Powe says, more African Americans diagnosed with kidney disease means fewer who are eligible to donate kidneys, when there’s already a shortage. And a kidney disease diagnosis can change everything from a patient’s diabetes medication to their life insurance costs.

Powe worries simply eliminating race from these equations is a knee-jerk response — one that may exacerbate health disparities instead of solve them. For too long, Powe says, doctors had to fight for diversity in medical studies.

The most recent eGFR equation, known as the CKD-EPI equation, was developed using data pooled from 26 studies, which included almost 3,000 patients who self-identified as Black. Researchers found the equation they were developing was more accurate for Black patients when it was adjusted by a factor of about 1.2. They didn’t determine exactly what was causing the difference in Black patients, but their conclusion is supported by other research that links Black race and African ancestry with higher levels of creatinine, a waste product filtered by the kidneys.

Put simply: In the eGFR equation, researchers used race as a substitute for an unknown factor because they think that factor is more common in people of African descent.

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Powe has been studying the racial disparities in kidney disease for more than 30 years. He can spout the statistics easily: Black people are three times more likely to suffer from kidney failure, and make up more than 35% of patients on dialysis in the US. The eGFR equation, he says, did not cause these disparities — they existed long before the formula.

“We want to cure disparities, let’s go after the things that really matter, some of which may be racist,” he says. “But to put all our stock and think that the equation is causing this is just wrong because it didn’t create those.”

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In 2013, the NFL settled a class-action lawsuit brought by thousands of former players and their families that accused the league of concealing what it knew about the dangers of concussions. The NFL agreed to pay $765 million, without admitting fault, to fund medical exams and compensate players for concussion-related health issues, among other things. Then in 2020, two retired players sued the NFL for allegedly discriminating against Black players who submitted claims in that settlement.

The players, Najeh Davenport and Kevin Henry, said the NFL race-corrected their neurological exams, which prevented them from being compensated.

According to court documents, former NFL players being evaluated for neurocognitive impairment were assumed to have started with worse cognitive function if they were Black. So if a Black player and a White player received the exact same scores on a battery of thinking and memory tests, the Black player would appear to have suffered less impairment. And therefore, the lawsuit stated, would be less likely to qualify for a payout.

Race correction is common in neuropsychology using something called Heaton norms, says Katherine Possin, an associate professor at the University of California San Francisco. Heaton norms are essentially benchmark average scores on cognitive tests.

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Heaton norms adjust for race, Possin says, because race has been linked in studies to lower cognitive scores. To be clear, that’s not because of any biological differences in Black and White brains, she says; it’s because of social factors like education and poverty that can impact cognitive development. And this is where the big problem lies.

In early March, a judge in Pennsylvania dismissed the players’ lawsuit and ordered a mediator to address concerns about how race correction was being used. In a statement to CNN, the NFL said there is no merit to the players’ claim of discrimination, but it is committed to helping find alternative testing techniques that do not employ race-based norms.

The NFL case, Possin wrote in JAMA, has “exposed a major weakness in the field of neuropsychology: the use of race-adjusted norms as a crude proxy for lifelong social experience.”

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Shortly after Vyas’ article published in The New England Journal of Medicine, the House Ways and Means Committee sent letters to several professional medical societies requesting information on the misuse of race in clinical algorithms. In response to the lawmakers’ request, the Agency for Healthcare Research and Quality is also gathering information on the use of race-based algorithms in medicine. Recently, a note appeared on the Maternal Fetal Medicine Units Network’s website for the Vaginal Birth After Cesarean equation — a new calculator that doesn’t include race and ethnicity is being developed.

Dorothy Roberts is excited to see change on the horizon. But she’s also a bit frustrated. The harm caused by race correction is something she’s been trying to tell doctors about for years.

“I’ve taught so many audiences about the meaning of race and the history of racism in America and the audiences I get the most resistance from are doctors,” Roberts says. “They’re offended that there would be any suggestion that what they do is racist.”

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