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Romit Bhattacharya

Researcher at Harvard University

Publications -  9
Citations -  212

Romit Bhattacharya is an academic researcher from Harvard University. The author has contributed to research in topics: Cancer & Risk factor. The author has an hindex of 3, co-authored 9 publications receiving 36 citations. Previous affiliations of Romit Bhattacharya include Broad Institute.

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Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection.

TL;DR: In this paper, expanded autosomal mCAs were associated with diverse incident infections (hazard ratio (HR) 1.25; 95% confidence interval (CI) = 1.15-1.36; P = 2.7 × 10-4).
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Clonal Hematopoiesis Is Associated With Higher Risk of Stroke.

TL;DR: In this paper, a novel age-related risk factor for cardiovascular disease-related morbidity and mortality, called clonal hematopoiesis of indeterminate potential (CHIP), was proposed.
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Obesity Is Associated With Pulmonary Hypertension and Modifies Outcomes.

TL;DR: Obesity is independently associated with pulmonary hypertension and PH is associated with greater mortality; this is modified by obesity such that obese patients with precapillary PH have lower mortality compared with nonobese counterparts.
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Association of Diet Quality With Prevalence of Clonal Hematopoiesis and Adverse Cardiovascular Events

TL;DR: In this article, the authors examined whether there is an association between diet quality and the prevalence of clonal hematopoiesis of indeterminate potential (CHIP), the expansion of somatic leukemogenic variations in hepatopoietic stem cells, has been associated with atherosclerotic cardiovascular disease.
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Prevalence and Impact of Having Multiple Barriers to Medication Adherence in Nonadherent Patients With Poorly Controlled Cardiometabolic Disease.

TL;DR: In this article, the authors used a linked electronic health records and insurer claims dataset from a large health system from a recent pragmatic trial to quantify adherence barriers for patients with poorly controlled cardiometabolic condition, identify patient characteristics associated with having multiple barriers, and determine its impact on adherence.