Evidence map›Paper›PMID 42717901›Full record

Observational studyESC heart failure2026

Demographics and clinical characteristics of Indian patients with heart failure visiting outpatient clinics: a cross-sectional observational study.

Kamal Sharma, J C Mohan, Shantanu Sengupta, Saumitra Ray, Ajit Mullasari, Johann Christopher, P B Jayagopal, Hiren Prajapati, Willem J Verberk

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in ESC heart failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kamal SharmaSAL Hospital, Ahmedabad, Gujarat, India.
J C MohanInstitute of Heart & Vascular Diseases, Jaipur Golden Hospital, Delhi, India.
Shantanu SenguptaSengupta Hospital and Research Institute, Nagpur, India.ORCID 0000-0002-0577-9274
Saumitra RayDepartment of Cardiology, Manipal Hospitals, Kolkata, West Bengal, India.
Ajit MullasariDepartment of Cardiology, Madras Medical Mission, Chennai, India.
Johann ChristopherDepartment of Cardiac Imaging, CARE Hospitals, Hyderabad, India.
P B JayagopalLakshmi Hospital, Palakkad, Kerala, India.
Hiren PrajapatiMedical Affairs, Eris Lifesciences Limited, Ahmedabad, Gujarat, India.
Willem J VerberkCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-2230-0488

Funding

Eris Lifesciences Ltd.
6 · The paper itself

Abstract

backgroundData on heart failure (HF) phenotypes in India remain limited. We examined clinical characteristics and factors associated with HF phenotype defined according to ejection fraction (EF) in a large multicentre outpatient cohort.

methodsWe performed a retrospective cross-sectional analysis of adult HF outpatients with documented EF at centres across India (April 2021-March 2023). Patients were classified as HFrEF (EF ≤40%), HFmrEF (41%-49%), or HFpEF (≥50%); multivariable logistic regression identified factors associated with phenotype.

resultsAmong 1207 patients (62 ± 10 years; 73% male), HFrEF was present in 822 (68.1%), HFmrEF in 89 (7.4%), and HFpEF in 296 (24.5%). Patients with HFpEF had higher systolic blood pressure (153 ± 26 vs 122 ± 25 mmHg), higher body mass index (BMI; 27.5 ± 4.9 vs 26.4 ± 4.4 kg/m2), and more chronic kidney disease (45% vs 23%) and stroke (27% vs 6.2%) than those with HFrEF (all P ≤ .003). Ischaemic heart disease (66% vs 56%; P = .002) and higher NT-proBNP [median 3705 (481-6232) vs 140 (121-521) pg/ml; P < .001) were more common in HFrEF. In multivariable analysis, higher BMI [odds ratio (OR) 1.35 per 5 kg/m2, 95% confidence interval (CI) 1.10-1.65], higher systolic blood pressure (OR 1.48 per 10 mmHg, 95% CI 1.37-1.60), and stroke (OR 1.99, 95% CI 1.11-3.54) were associated with higher odds of HFpEF, whereas higher NT-proBNP (OR 0.46, 95% CI 0.40-0.53) and diabetes (OR 0.56, 95% CI 0.38-0.83) were associated with lower odds of HFpEF.

conclusionsHigher BMI and blood pressure were associated with HFpEF, whereas elevated NT-proBNP and diabetes were associated with HFrEF. These cross-sectional associations may support phenotype-specific management of HF.

Indexed as

Ambulatory Care FacilitiesHeart FailureStroke VolumeAgedCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedNatriuretic Peptide, BrainRetrospective StudiesRisk FactorsSouth Asian PeopleNatriuretic Peptide, BrainEjection fractionHeart failureHFpEFHFrEFIndiaObservational study

Identifiers

PMID42717901
PMCPMC13639485

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.