Etiological Spectrum and Risk Factors of Heart Failure Among Patients Admitted in Bharatpur Hospital

Background: Heart failure (HF) is a major public health concern globally and increasingly prevalent in low and middle-income countries like Nepal. Understanding its etiological spectrum and associated risk factors is essential for formulating effective prevention and management strategies. Methods: A cross-sectional descriptive study was conducted among 210 adult patients admitted with heart failure to Bharatpur Hospital from January to December 2023. Data on demographics, clinical features, risk factors, and etiologies were collected through structured questionnaires and clinical evaluations, including echocardiography. Statistical analysis was performed using SPSS version 20.Results: The mean age of patients was 62.4 ± 12.7 years, with a male predominance (65.7%). The leading risk factors identified were hypertension (65.7%), diabetes mellitus (48.6%), physical inactivity (48.6%), and dyslipidemia (40%). Dyspnea on exertion (94.3%) was the most common presenting symptom. Ischemic heart disease emerged as the predominant etiology (48.6%), followed by hypertensive cardiomyopathy (25.7%) and valvular heart disease (17.1%).Conclusion: Ischemic and hypertensive heart diseases are the primary causes of HF among hospitalized patients in Bharatpur, with a high prevalence of modifiable risk factors. These findings highlight the urgent need for community based prevention strategies and integrated cardiovascular risk management at the primary care level.

Authors

Institutions

Publication Details

Journal
Journal of National Heart and Lung Society Nepal
Published
2025-06-30
DOI
https://doi.org/10.3126/jnhls.v4i1.80618
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Etiological Spectrum and Risk Factors of Heart Failure Among Patients Admitted in Bharatpur Hospital

Mani Prasad Gautam, Anupam Bista, SP Bhattarai, Rajesh Panjiyar et al.
Journal of National Heart and Lung Society Nepal
Artificial Intelligence in Healthcare
article

Etiological Spectrum and Risk Factors of Heart Failure Among Patients Admitted in Bharatpur Hospital

Mani Prasad Gautam, Anupam Bista, SP Bhattarai, Rajesh Panjiyar, Rabindra Yadav, Bishal Shrestha
article en

Abstract

Background: Heart failure (HF) is a major public health concern globally and increasingly prevalent in low and middle-income countries like Nepal. Understanding its etiological spectrum and associated risk factors is essential for formulating effective prevention and management strategies. Methods: A cross-sectional descriptive study was conducted among 210 adult patients admitted with heart failure to Bharatpur Hospital from January to December 2023. Data on demographics, clinical features, risk factors, and etiologies were collected through structured questionnaires and clinical evaluations, including echocardiography. Statistical analysis was performed using SPSS version 20.Results: The mean age of patients was 62.4 ± 12.7 years, with a male predominance (65.7%). The leading risk factors identified were hypertension (65.7%), diabetes mellitus (48.6%), physical inactivity (48.6%), and dyslipidemia (40%). Dyspnea on exertion (94.3%) was the most common presenting symptom. Ischemic heart disease emerged as the predominant etiology (48.6%), followed by hypertensive cardiomyopathy (25.7%) and valvular heart disease (17.1%).Conclusion: Ischemic and hypertensive heart diseases are the primary causes of HF among hospitalized patients in Bharatpur, with a high prevalence of modifiable risk factors. These findings highlight the urgent need for community based prevention strategies and integrated cardiovascular risk management at the primary care level.

Journal of National Heart and Lung Society NepalVol. 4(1)
Visiting Nurse Association (US), National Academy of Medical Sciences (NP)
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.