Raysha Farah

481 posts

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Raysha Farah

Raysha Farah

@rayshafarah

🩺 MD | 🧬 MMSCI @harvardmed ‘26 🎓 Harvard Dean’s Scholar 🫀 Aspiring Cardiologist

Boston, MA Katılım Eylül 2010
90 Takip Edilen135 Takipçiler
Raysha Farah retweetledi
CME INDIA
CME INDIA@CMEINDIA1·
A one-time midlife assessment of four blood-based biomarkers—CAD polygenic risk score (PRS), hsCRP, LDL-C, and lipoprotein(a)—robustly predicts future coronary artery disease risk in both men and women aged 40 to 69 years. A one-time midlife biomarker panel may unmask hidden future CAD risk long before conventional calculators do. 🔹 Pearl 1 — Four pathways, one practical panel A single midlife assessment of CAD polygenic risk score (PRS), LDL-C, lipoprotein(a), and hsCRP captures genetic, lipid, and inflammatory risk, offering a more integrated view of future coronary artery disease risk. 🔹 Pearl 2 — Each biomarker independently predicts incident CAD Over 12 years of follow-up, elevation of each biomarker was independently associated with higher CAD risk. The hazard ratios were 1.79 for CAD PRS, 1.60 for LDL-C, 1.20 for Lp(a), and 1.64 for hsCRP, confirming that all four add meaningful prognostic information. 🔹 Pearl 3 — Risk is multiplicative, not merely additive Individuals with all four biomarkers elevated had a 4.65-fold higher risk of future CAD compared with those with no elevated biomarkers, highlighting the importance of cumulative burden across pathways. 🔹 Pearl 4 — Younger adults may benefit the most All four biomarkers showed stronger associations at younger ages, suggesting that biomarker-based screening may be especially valuable in early midlife, when traditional clinical calculators often underestimate lifetime vascular risk. 🔹 Pearl 5 — Biomarkers can rival traditional risk calculators The combined 4-biomarker model achieved a C-statistic of 0.753, which was slightly better than the pooled cohort equations at 0.740, indicating comparable or better discriminatory performance. 🔹 Pearl 6 — Better reclassification means fewer missed patients Compared with pooled cohort equations, the 4-biomarker strategy produced a 32% continuous net reclassification improvement, suggesting it may identify at-risk individuals who would otherwise be missed by conventional clinical scoring. 🔹 Pearl 7 — CAD PRS appears particularly informative in men The association of CAD PRS with incident CAD was stronger in men than in women, although the 4-biomarker model was predictive in both sexes. 🔹 Pearl 8 — Lp(a) still matters even when effect size is modest Although the hazard ratio for Lp(a) was lower than for the other markers, it remained an independent predictor of CAD, reinforcing the value of at least once-in-a-lifetime Lp(a) testing in risk stratification. 🔹 Pearl 9 — hsCRP keeps inflammation in the CAD conversation The strong association of hsCRP with future CAD supports the concept that residual inflammatory risk deserves attention alongside cholesterol and inherited risk. 🔹 Pearl 10 — Think beyond 10-year risk; think lifetime vascular exposure This study supports interpreting CAD risk as a cumulative lifetime burden of inherited susceptibility, atherogenic lipids, and inflammation, which may help clinicians prioritize earlier and more targeted primary prevention. Practical CME INDIA Take-Home Message In adults aged 40–69 years, a one-time 4-marker panel of CAD PRS, LDL-C, Lp(a), and hsCRP may refine CAD risk assessment beyond traditional calculators, especially in younger individuals and those who appear low-risk by routine clinical scoring. This approach may help clinicians identify candidates for earlier lifestyle intensification, lipid lowering, closer follow-up, and personalized prevention strategies. One-Line Conclusion Midlife CAD prevention may become smarter when we measure inherited risk, cholesterol burden, lipoprotein(a), and inflammation together—not separately. sciencedirect.com/science/articl…
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Raysha Farah retweetledi
SABOURETCardiologist
SABOURETCardiologist@SABOURETCardio·
Combining Genomics With #Lipid and Inflammatory Biomarkers to Predict #CAD Risk: UK Biobank Study | JACC #undfig1" target="_blank" rel="nofollow noopener">jacc.org/doi/10.1016/j.…
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Raysha Farah retweetledi
Akl Fahed
Akl Fahed@aklfahed·
New from @rayshafarah in our group published in @JACCJournals 🔸 A single measurement of 4 blood-based biomarkers in midlife, namely CAD PRS, hsCRP, LDL-C, and Lp(a), is strongly predictive of future CAD incidence in both sexes and across the age spectrum from 40 to 69 years 🔸 A biomarker-based prediction model achieves comparable performance with clinical risk calculators and may identify populations who are not detected using a traditional clinical risk calculator, creating an opportunity for improved primary prevention, particularly in younger age groups, where the performance of biomarker-based screening is highest. 🔸 Interpreting risk as a cumulative burden of genetic, lipid, and inflammatory pathways provides a straightforward approach to prioritizing earlier, targeted primary prevention. Article: authors.elsevier.com/a/1mnoA2d9GI5k… Builds on prior work form Paul Ridker et al in @NEJM last year nejm.org/doi/full/10.10… going from 3 to 4 biomarkers by adding genetics @MinSeoKim_MD @buutruong11 @YangSui @somijemmacho @AniruddhPatelMD @pnatarajanmd @MGBResearchNews @broadinstitute
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