Atrial fibrillation (AF) is a significant risk factor for stroke. Based on the higher stroke associated with AF in the South Asian population, we constructed a one-year stroke prediction model using machine learning (ML) methods in KERALA-AF South Asian cohort. External validation was performed in the prospective APHRS-AF registry.
View Article and Find Full Text PDFIntroduction: Heart failure (HF) has emerged as an important and increasing disease burden in India. We present the 5-year outcomes of patients hospitalized for HF in India.
Methods: The Trivandrum Heart Failure Registry (THFR) recruited consecutive patients admitted for acute HF among 16 hospitals in Trivandrum, Kerala in 2013.
Background: Long-term data on outcomes of participants hospitalized with heart failure (HF) from low- and middle-income countries are limited.
Methods And Results: In the Trivandrum Heart Failure Registry (THFR) in 2013, 1205 participants from 18 hospitals in Trivandrum, India, were enrolled. Data were collected on demographics, clinical presentation, treatment, and outcomes.
Am Heart J
July 2017
Background: There are sparse data on outcomes of patients with heart failure (HF) from India. The objective was to evaluate hospital readmissions and 1-year mortality outcomes of patients with HF in Kerala, India.
Methods: We followed 1,205 patients enrolled in the Trivandrum Heart Failure Registry for 1 year.
Eur J Heart Fail
August 2015
Objective: To evaluate the presentation, management, and outcomes of patients hospitalized for heart failure (HF) in Trivandrum, India.
Methods: The Trivandrum Heart Failure Registry (THFR) enrolled consecutive admissions from 13 urban and five rural hospitals in Trivandrum with a primary diagnosis of HF from January to December 2013. Clinical characteristics at presentation, treatment, in-hospital outcomes, and 90-day mortality data were collected.