Cardiovascular disease and social epidemiologist | Instructor @RutgersSPH |
NJ
Joined April 2020
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Huge congratulations to @PriscillaDuranL on presenting her research and receiving the Award for Excellence in Research Addressing Cardiovascular Health Equity at #EpiLifestyle26 👏🏽
Well deserved recognition!
Outstanding sessions this year—already looking forward to 2027!
Now in the Oral Abstract Session: Women’s & Maternal Health at #EpiLifestyle26 🧵
Covering cutting-edge work on gene–diet interactions, reproductive health, and cardiometabolic risk across the life course.
Follow along for key insights 👇 @AHAScience
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Gestational weight & long-term CV health
In Project Viva, higher postpartum weight retention (PPWR)—not gestational weight gain—was linked to worse mid-life cardiometabolic health.
Focus may need to shift from pregnancy weight gain → sustained postpartum weight trajectories.
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Big takeaway from the Women’s & Maternal Health session at #EpiLifestyle26:
Cardiovascular risk in women is shaped long before midlife—across genetics, reproductive history, pregnancy, and postpartum health.
A life-course approach to prevention is essential.
@AHAScience
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Adverse pregnancy outcomes (APOs) & later CV risk
APOs were linked to:
• Higher BP response during submaximal exercise
• Shorter exercise duration
Suggesting early vascular dysfunction and reduced fitness.
#EpiLifestyle26 @AHAScience
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Endometriosis & CVD risk
In UK Biobank data, women with endometriosis had a ~19% higher risk of cardiovascular disease.
Highlights the need to consider endometriosis as more than a gynecologic condition.
#EpiLifestyle26 @AHAScience
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Fascinating debate at #EpiLifestyle26:
Should everyone become an “AI-ologist”? 🤖🧵
As AI rapidly integrates into research & patient care, the question isn’t if—but how we engage with it.
Key arguments from both sides 👇 @AHAScience
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⚖️ What’s needed moving forward
• Strong data infrastructure
• Thoughtful business models
• Regulatory modernization
And critically—clinicians who understand both the promise and the pitfalls of AI.
#EpiLifestyle26 @AHAScience
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🌍 Important question raised:
What about the environmental + social impact of AI—especially for marginalized communities?
As AI scales, we must consider equity, bias, access, and broader societal costs.
Innovation must center those most at risk.
#EpiLifestyle26 @AHAScience
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Insights from the CKM session at #EpiLifestyle26 🧵
From proteomics → risk prediction → real-world therapeutics, exciting work advancing how we understand and manage cardiometabolic risk.
Highlights below 👇 @AHAScience
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📊 PREVENT risk score—beyond CVD
Higher PREVENT scores were associated with increased risk of non-CVD outcomes as well.
Those in the highest risk group progressed to non-CVD death 11–13 years earlier vs lowest risk.
Risk prediction is expanding beyond single outcomes.
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