Revathi Balakrishnan
New York University
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Publication
Featured researches published by Revathi Balakrishnan.
American Heart Journal | 2014
Lisa Tully; Eugenia Gianos; Anish Vani; Yu Guo; Revathi Balakrishnan; Arthur Schwartzbard; James Slater; Richard A. Stein; James Underberg; Howard Weintraub; Edward A. Fisher
BACKGROUND The American Heart Association recommends targeting 7 cardiovascular (CV) health metrics to reduce morbidity and mortality. Control of these targets in patients undergoing CV intervention is uncertain. METHODS We prospectively studied patients undergoing elective percutaneous coronary or peripheral intervention from November 2010 to May 2012. We recorded data on patient demographics, clinical characteristics, and social history. Risk factor control was categorized as ideal, intermediate, or poor according to the 7 American Heart Association-defined CV health metrics (smoking status, body mass index, physical activity, diet, cholesterol, blood pressure, and metabolic control). Linear regression model was used to evaluate the association between baseline characteristics and poor CV health. RESULTS Among 830 consecutive patients enrolled, mean age is 67.3 ± 10.8 years, 74.2% are male, and 62.1% are white. The adequacy of achievement of ideal CV health is suboptimal in our cohort; the mean number of ideal CV metrics is 2.15 ± 1.06. Less than 1 in 10 (9.7%) met ≥4 ideal CV health metrics. After multivariate analysis, male sex (P = .04), nonwhite race (P = .01), prior coronary artery disease (P < .01), prior peripheral arterial disease (P < .01), and history of depression (P = .01) were significantly associated with poor CV health. CONCLUSIONS Among patients referred for elective CV intervention, achievement of ideal CV health is poor. Elective interventions represent an opportunity to identify and target CV health for risk factor control and secondary prevention.
International Journal of Environmental Research and Public Health | 2017
Revathi Balakrishnan; Benjamin Kaplan; Rennie Negron; Kezhen Fei; Judith Z. Goldfinger; Carol R. Horowitz
Stroke is a leading cause of disability in the United States and disproportionately affects minority populations. We sought to explore the quality of life in urban, minority stroke survivors through their own photos and narratives. Using the Photovoice method, seventeen stroke survivors were instructed to take pictures reflecting their experience living with and recovering from stroke. Key photographs were discussed in detail; participants brainstormed ways to improve their lives and presented their work in clinical and community sites. Group discussions were recorded, transcribed, and coded transcripts were reviewed with written narratives to identify themes. Participants conveyed recovery from stroke in three stages: learning to navigate the initial physical and emotional impact of the stroke; coping with newfound physical and emotional barriers; and long-term adaptation to physical impairment and/or chronic disease. Participants navigated this stage-based model to varying degrees of success and identified barriers and facilitators to this process. Barriers included limited access for disabled and limited healthy food choices unique to the urban setting; facilitators included presence of social support and community engagement. Using Photovoice, diverse stroke survivors were able to identify common challenges in adapting to life after stroke and important factors for recovery of quality of life.
Diabetes-metabolism Research and Reviews | 2015
Revathi Balakrishnan; Lisa Tully; Anish Vani; Binita Shah; Joseph Burdowski; Edward A. Fisher; Arthur Schwartzbard; Steven Sedlis; Howard Weintraub; James Underberg; Ann Danoff; James A. Slater; Eugenia Gianos
Diabetes mellitus (DM) and metabolic syndrome are important targets for secondary prevention in cardiovascular disease. However, the prevalence in patients undergoing elective percutaneous coronary intervention is not well defined. We aimed to analyse the prevalence and characteristics of patients undergoing percutaneous coronary intervention with previously unrecognized prediabetes, diabetes and metabolic syndrome.
Clinical Cardiology | 2017
Revathi Balakrishnan; Brian Nguyen; Roy A. Raad; Robert Donnino; David P. Naidich; Jill E. Jacobs; Harmony R. Reynolds
Coronary artery calcification as assessed by computed tomography (CT) is a validated predictor of cardiovascular risk, whether identified on a dedicated cardiac study or on a routine non‐gated chest CT. The prevalence of incidentally detected coronary artery calcification on non‐gated chest CT imaging and consistency of reporting have not been well characterized.
Journal of Stroke & Cerebrovascular Diseases | 2014
Judith Z. Goldfinger; Donald Edmondson; Ian M. Kronish; Kezhen Fei; Revathi Balakrishnan; Stanley Tuhrim; Carol R. Horowitz
Journal of the American College of Cardiology | 2015
Revathi Balakrishnan; Brian Nguyen; Roy A. Raad; Robert Donnino; David P. Naidich; Jill E. Jacobs; Harmony R. Reynolds
Journal of the American College of Cardiology | 2014
Carlos L. Alviar; Vivek Kumar; Joseph Burdowski; Eugenia Gianos; Revathi Balakrishnan; Anish Vani; Yu Guo; Jinfeng Xu; Arthur Schwartzbard; Steven P. Sedlis; James Slater; Binita Shah
The Annals of Thoracic Surgery | 2013
Revathi Balakrishnan; Adam H. Skolnick; Muhamed Saric
Journal of the American College of Cardiology | 2013
Lisa Tully; Eugenia Gianos; Anish Vani; Yu Guo; Revathi Balakrishnan; Omad Ullah; Michael Schloss; Arthur Schwartzbard; James Slater; Richard A. Stein; James Underberg; Howard Weintraub; Edward A. Fisher
Journal of Clinical Lipidology | 2013
Revathi Balakrishnan; Anish Vani; Lisa Cioce; Joseph Burdowski; Polydoros Kampaktsis; Edward A. Fisher; Michael Schloss; Arthur Schwartzbard; Howard Weintraub; James Underberg; James Slater; Eugenia Gianos