Darshali Vyas
@DarshaliVyas
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PCCM fellow @HarvardPulm via @MGHMedicine
Joined June 2020
RT @jmvyasmdphd: We welcome the intern class of 2023 to the MGH Dept of Medicine. We had an incredible afternoon at our annual clambake at….
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RT @KHibbert_MD: Great start to the morning with @DarshaliVyas examining the real world impact of changing PFT reference equations @Harvard….
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Grateful for your leadership and mentorship as always @UREssien !! 🤩 @mghmedres.
Finally got to meet the legendary Dr. @DarshaliVyas IRL today. 😄. I think @mghmedres is quite lucky to have her as one of its future Chiefs! 👊🏾. 📝:
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RT @HarvardPulm: Good morning from our F1s enjoying dim sum during their #POCUS course @TuftsMedicalCtr! @cosgriffc @DarshaliVyas @crzydoc….
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RT @jmvyasmdphd: I am so proud to announce the Chief Residents who will serve the @MGHMedicine Residency program for AY23-24. Drs. Josie Fi….
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RT @IDSAInfo: A study in OFID found that more efforts are needed to integrate harm reduction strategies and improve follow-up in the multid….
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DUET Team on the MGH experience & initial outcomes of a multidisciplinary model to care for patients w/ drug use endocarditis!. @DrSarahWakeman @criticalecho @lucas_marinacci @DrBenBearnot @mghmedres.
Couple of new publications to share today:. First, describing our model @MGHMedicine of caring for vulnerable folks with some of the most serious infectious complications of injection drug use:
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RT @IDDoc1978: @LBaddour1 @MayoClinicINFD @MayoClinicCV @MayoClinicCVS Thank you @LBaddour1. Teamwork made this idea become reality. Starte….
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RT @UREssien: NEW in @LancetDigitalH. Led by @DarshaliVyas we discuss how the use of race in ASCVD risk reifies the concept of race as biol….
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RT @HarvardPulm: Thrilled to welcome our newest cohort of co-fellows!!.Welcome welcome @cosgriffc @sirusjj @crzydoc @mcnamara_lc @LouisaMou….
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RT @actupny: We’re outside different UN Missions in NYC to tell their leaders to stop blocking global vaccine access. Their protection of p….
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The new VBAC calculator is out! . @AMeadowsMD @Nawal__Nour @michellemorse @LeoEisenstein @juliaradio @priskaneely.
A calculator that helps determine whether it’s safe to have a vaginal birth after a previous C-section (VBAC) was updated last week to remove race and ethnicity. Before that, it systematically gave Black and Hispanic women lower probabilities. Here’s why:
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RT @juliaradio: So excited to hear from @priskaneely that the writer of #NewAmsterdam listened to our @reveal investigation and read @Darsh….
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RT @SenWarren: Race-based clinical algorithms may use overly-simplistic and possibly racist assumptions to adjust a patient’s medical resul….
wired.com
Four Congress members say formulas that include race as a factor can hurt Black Americans’ access to care.
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Thank you @juliaradio for your interest & drive to cover the VBAC story so powerfully- what an exciting change in the works! Read & hear more on VBAC here: . @AMeadowsMD @Nawal__Nour Dr. Khady Diouf & Dr. Julianna Schantz-Dunn.
revealnews.org
How does the long legacy of medical racism affect maternal health in U.S. communities of color? We hear from parents, historians, researchers, advocates and doctors working hard to turn things around.
SCOOP: In May @Reveal published an investigation into the use of race in a common medical calculator. We found that the calculator may be leading Black and Latinx moms into c-sections they don't need. Now: The MFMU website says they're developing a new calculator without race.
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RT @LeoEisenstein: If race = social construct, then why do tools in medicine still use race as a proxy for genetic difference? #medtwitter….
nejm.org
Diagnostic algorithms and practice guidelines that adjust or “correct” their outputs on the basis of a patient’s race or ethnicity guide decisions in ways that may direct more attention or resource...
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Grateful to have been part of this work, driven by a tension many of us feel between how we learned about race in medical school as a social construct and how it is used clinically. Our piece on the use of race-based correction in clinical algorithms:.
Diagnostic algorithms and practice guidelines that adjust or “correct” their outputs based on a patient’s race or ethnicity guide decisions in ways that may direct more attention or resources to white patients than to members of racial and ethnic minorities.
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