Sex-stratified epidemiological trajectories and predictive modeling of aortic aneurysm mortality in South Asia: A global burden of disease analysis (1990–2021) with advanced forecasting to 2050

Aortic aneurysms are a growing public health concern in South Asia due to increasing cardiovascular risk factors and limited healthcare access. With South Asia experiencing rapid aging and limited cardiac care, forecasting aortic aneurysm mortality is critical for resource prioritization. This study analyzes historical mortality trends from 1990 to 2021 and projects future burdens to 2050, using data from 5 South Asian countries (Bangladesh, Bhutan, India, Nepal, and Pakistan), stratified by male and female subgroups, to guide evidence-based interventions. Using Global Burden of Disease 2021 data, age-standardized mortality rates (ASMR) for aortic aneurysms were extracted for South Asia (Bangladesh, Bhutan, India, Nepal, and Pakistan) from 1990 to 2021, stratified by sex. Joinpoint regression calculated average annual percent change (AAPC). Autoregressive integrated moving average models forecasted ASMR to 2030 and 2050. South Asia's ASMR rose (AAPC: 1.9039%, 95% confidence interval [CI]: 1.7297-2.099). Country AAPCs: Bangladesh (1.2885%, 95% CI: 1.0986-1.4865), Bhutan (2.3303%, 95% CI: 2.2462-2.4155), India (2.1206%, 95% CI: 1.8661-2.4155), Nepal (2.2868%, 95% CI: 2.0628-2.5344), and Pakistan (1.5032%, 95% CI: 1.1631-1.8987). Male AAPCs higher (e.g., Nepal: 3.1369%, 95% CI: 2.9941-3.3051 and Bhutan: 3.0672%, 95% CI: 2.9625-3.1859) than female (e.g., Nepal: 1.5482%, 95% CI: 1.2213-1.9275). Peak annual percent change: 2012 to 2015 (South Asia: 4.0211%, 95% CI: 1.9534-4.462). ASMR 2021: South Asia 1.2204 (95% CI: 0.8788-1.7781). Projections 2050: South Asia 1.651 (95% CI: 1.367-1.934), males 2.284 (95% CI: 2.008-2.559), females 0.866 (95% CI: 0.457-1.276); Bhutan males 2.362 (95% CI: 1.1292-3.5942), and India females 0.8289 (95% CI: 0.3399-1.3179). Aortic aneurysm mortality is increasing, with male disparities driven by smoking and hypertension. Female stabilization reflects targeted interventions. Limitations include Global Burden of Disease data variability and forecasting assumptions. Recommendations: enhance diagnostics, male-focused smoking cessation, subnational studies. Policy action is critical by 2050.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2026-05-29
DOI
https://doi.org/10.1097/md.0000000000049010
Primary Topic
Aortic aneurysm repair treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex-stratified epidemiological trajectories and predictive modeling of aortic aneurysm mortality in South Asia: A global burden of disease analysis (1990–2021) with advanced forecasting to 2050

Moinul Karim Labib, Nahid Afrin Nisa, Ibrahim Khalil, Md. Faruk Hossain et al.
Medicine
Aortic aneurysm repair treatments
article

Sex-stratified epidemiological trajectories and predictive modeling of aortic aneurysm mortality in South Asia: A global burden of disease analysis (1990–2021) with advanced forecasting to 2050

Moinul Karim Labib, Nahid Afrin Nisa, Ibrahim Khalil, Md. Faruk Hossain, Maisha Fairooz Nuha, Md Abu Sayed, Mst. Mahmuda Akter, Zarin Tasnim Meem
article en

Abstract

Aortic aneurysms are a growing public health concern in South Asia due to increasing cardiovascular risk factors and limited healthcare access. With South Asia experiencing rapid aging and limited cardiac care, forecasting aortic aneurysm mortality is critical for resource prioritization. This study analyzes historical mortality trends from 1990 to 2021 and projects future burdens to 2050, using data from 5 South Asian countries (Bangladesh, Bhutan, India, Nepal, and Pakistan), stratified by male and female subgroups, to guide evidence-based interventions. Using Global Burden of Disease 2021 data, age-standardized mortality rates (ASMR) for aortic aneurysms were extracted for South Asia (Bangladesh, Bhutan, India, Nepal, and Pakistan) from 1990 to 2021, stratified by sex. Joinpoint regression calculated average annual percent change (AAPC). Autoregressive integrated moving average models forecasted ASMR to 2030 and 2050. South Asia's ASMR rose (AAPC: 1.9039%, 95% confidence interval [CI]: 1.7297-2.099). Country AAPCs: Bangladesh (1.2885%, 95% CI: 1.0986-1.4865), Bhutan (2.3303%, 95% CI: 2.2462-2.4155), India (2.1206%, 95% CI: 1.8661-2.4155), Nepal (2.2868%, 95% CI: 2.0628-2.5344), and Pakistan (1.5032%, 95% CI: 1.1631-1.8987). Male AAPCs higher (e.g., Nepal: 3.1369%, 95% CI: 2.9941-3.3051 and Bhutan: 3.0672%, 95% CI: 2.9625-3.1859) than female (e.g., Nepal: 1.5482%, 95% CI: 1.2213-1.9275). Peak annual percent change: 2012 to 2015 (South Asia: 4.0211%, 95% CI: 1.9534-4.462). ASMR 2021: South Asia 1.2204 (95% CI: 0.8788-1.7781). Projections 2050: South Asia 1.651 (95% CI: 1.367-1.934), males 2.284 (95% CI: 2.008-2.559), females 0.866 (95% CI: 0.457-1.276); Bhutan males 2.362 (95% CI: 1.1292-3.5942), and India females 0.8289 (95% CI: 0.3399-1.3179). Aortic aneurysm mortality is increasing, with male disparities driven by smoking and hypertension. Female stabilization reflects targeted interventions. Limitations include Global Burden of Disease data variability and forecasting assumptions. Recommendations: enhance diagnostics, male-focused smoking cessation, subnational studies. Policy action is critical by 2050.

MedicineVol. 105(22)
North South University (BD), International Culture University (BD), Shaheed Suhrawardy Medical College (BD), Dhaka Medical College and Hospital (BD)
Good health and well-being
Openalex Percentile: Top 6%
Aortic aneurysm repair treatments
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.