Cardiometabolic multimorbidity and associated risk factors in a cohort identified through community-based screening in Eastern Nepal

Abstract Background Cardiometabolic multimorbidity constitutes a major cause of premature mortality and morbidity in low- and middle-income countries like Nepal. Early detection of associated risk factors and timely management at primary care centres can significantly reduce the impact at individual level. Lack of quality research data in resource poor setting often pose a challenge to plan for efficient delivery of health services. Purpose This analysis of secondary data from a cohort identified through a community based NCD intervention program intends to explore the distribution of cardiometabolic multimorbidity and associated risk factors in adult population of Eastern Nepal. Methods This report is a part of integrated NCD management strategy, a KHDC (Kidney, Hypertension, Diabetes, and Cardiovascular disease) program, implemented through community-based screening and interventions focused on primary level healthcare centres. The KHDC program involved screening of 14,517 individuals aged 18 years and above at baseline during a period of 2019-2023 for selected NCDs, including, cardiovascular diseases, hypertension, diabetes, and kidney disease. Individual level data was collected through anthropometric measurements, participants’ self-report, vitals assessment, laboratory parameters and diagnostic adjuncts including ECG and Echocardiography. Outcome of cardiometabolic multimorbidity1 was defined as presence of two or more of diabetes mellitus, and cardiovascular diseases including myocardial infarction and stroke. Results About 12.8% (n=1862) of the participants had at least one cardiometabolic multimorbidity, while less than one per cent (n=47) had two or more multimorbidity. Presence of at least one multimorbidity was associated with older age ≥ 40 years [OR: 3.870 (95% CI: 3.285-4.558)], male gender [OR: 1.326 (95% CI: 1.202-1.463)], BMI ≥ 23 kg/cm2 [OR: 1.348 (95% CI: 1.208-1.503)], current tobacco consumption [OR: 1.164 (95% CI: 1.038-1.305)] and co-occurrence of hypertension [OR: 1.736 (95% CI: 1.550-1.943)]. The presence of both diabetes mellitus and cardiovascular disease was associated with age ≥ 40 years [OR: 7.612 (95% CI: 1.846-31.395)] and co-occurrence of hypertension [OR: 2.544 (95% CI: 1.401-4.620)]. Conclusion Disproportionate burden of cardiometabolic multimorbidity was apparent among adult population screened in our program. Older age and co-occurrence of hypertension was identified as contributing factors for the presence of such multimorbidity. A baseline information on the distribution and risk factors for the same among general population can provide a valuable insight into understanding the disease progression and prognostic outcomes.Table of Outcomes

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Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.2800
Citations
1
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.39
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article

Cardiometabolic multimorbidity and associated risk factors in a cohort identified through community-based screening in Eastern Nepal

S Aebischer Perone, Utsav Bhattarai, O Heller, U.S. Gautam et al.
1 citations
European Heart Journal
Chronic Disease Management Strategies
0.39
article

Cardiometabolic multimorbidity and associated risk factors in a cohort identified through community-based screening in Eastern Nepal

S Aebischer Perone, Utsav Bhattarai, O Heller, U.S. Gautam, Pradip Katuwal, Sanjeev Sharma, K.L. Zimmermann
article en
1 citations

Abstract

Abstract Background Cardiometabolic multimorbidity constitutes a major cause of premature mortality and morbidity in low- and middle-income countries like Nepal. Early detection of associated risk factors and timely management at primary care centres can significantly reduce the impact at individual level. Lack of quality research data in resource poor setting often pose a challenge to plan for efficient delivery of health services. Purpose This analysis of secondary data from a cohort identified through a community based NCD intervention program intends to explore the distribution of cardiometabolic multimorbidity and associated risk factors in adult population of Eastern Nepal. Methods This report is a part of integrated NCD management strategy, a KHDC (Kidney, Hypertension, Diabetes, and Cardiovascular disease) program, implemented through community-based screening and interventions focused on primary level healthcare centres. The KHDC program involved screening of 14,517 individuals aged 18 years and above at baseline during a period of 2019-2023 for selected NCDs, including, cardiovascular diseases, hypertension, diabetes, and kidney disease. Individual level data was collected through anthropometric measurements, participants’ self-report, vitals assessment, laboratory parameters and diagnostic adjuncts including ECG and Echocardiography. Outcome of cardiometabolic multimorbidity1 was defined as presence of two or more of diabetes mellitus, and cardiovascular diseases including myocardial infarction and stroke. Results About 12.8% (n=1862) of the participants had at least one cardiometabolic multimorbidity, while less than one per cent (n=47) had two or more multimorbidity. Presence of at least one multimorbidity was associated with older age ≥ 40 years [OR: 3.870 (95% CI: 3.285-4.558)], male gender [OR: 1.326 (95% CI: 1.202-1.463)], BMI ≥ 23 kg/cm2 [OR: 1.348 (95% CI: 1.208-1.503)], current tobacco consumption [OR: 1.164 (95% CI: 1.038-1.305)] and co-occurrence of hypertension [OR: 1.736 (95% CI: 1.550-1.943)]. The presence of both diabetes mellitus and cardiovascular disease was associated with age ≥ 40 years [OR: 7.612 (95% CI: 1.846-31.395)] and co-occurrence of hypertension [OR: 2.544 (95% CI: 1.401-4.620)]. Conclusion Disproportionate burden of cardiometabolic multimorbidity was apparent among adult population screened in our program. Older age and co-occurrence of hypertension was identified as contributing factors for the presence of such multimorbidity. A baseline information on the distribution and risk factors for the same among general population can provide a valuable insight into understanding the disease progression and prognostic outcomes.Table of Outcomes

European Heart JournalVol. 45(Supplement_1)
Geneva College (US), B.P. Koirala Institute of Health Sciences (NP)
Openalex Percentile: Top 33%
Chronic Disease Management Strategies
0.39
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