Global Stroke Burden from Metabolic Risks Across Demographics: Findings from the 2021 Global Burden of Disease Study
Xue, S.; Wu, G.
Show abstract
BackgroundStroke is the second leading cause of death and the primary cause of disability worldwide. Metabolic risks are major contributors to stroke. The global trends in metabolic risk-related stroke from 1990 to 2019, and the differences in mortality and DALYs across various demographic factors, remain unclear. MethodsAll analyses were based on rates derived from the GBD2021 results (https://vizhub.healthdata.org/gbd-results/). Data were stratified by gender, region, and age. Joinpoint software was used to perform regression analysis of the average annual percent change (AAPC) and its 95% confidence interval to analyze trends from 1990 to 2019. Excel, PowerPoint, and R software were used for plotting and analysis, with p<0.05 considered statistically significant. ResultsFrom 1990 to 2019, the average annual percent change (AAPC) for age-standardized rates (ASR) of DALYs was -1.70% (-1.81%, -1.58%), and for mortality, the AAPC was -1.57% (-1.68%, -1.46%). As the SDI increased, both the ASR of DALYs and mortality in 2019 showed a significant decline. The AAPC from 1990 to 2019 also exhibited a downward trend with increasing SDI levels. The DALYs and mortality rates of metabolic risk-related stroke predominantly affected individuals aged 75 and above, with a lesser impact on those under 55. For both genders, the 10-55 and 50-74 age groups had the highest DALYs and mortality rates due to metabolic-related intracerebral hemorrhage. For those aged 75-84 and over 85, ischemic stroke was the leading subtype of metabolic-related stroke contributing to DALYs and mortality rates. ConclusionThis is the first retrospective study on metabolic risk-related stroke on a global scale, summarizing its temporal trends and demographic distribution characteristics. Effective public health strategies are needed to address these disparities and continue reducing the global burden of metabolic risk-related strokes.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Associations between cardiovascular risk factors, stroke severity, and post-stroke cognition: a moderated mediation analysis 94%
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 94%
- Endovascular thrombectomy: an effective and safe therapy for perioperative ischemic stroke 93%
Similar papers in this journal
- Disparities in Access to Vascular Stroke Imaging and Carotid Revascularization: A Population Study 94%
- Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study 93%
- Influence of socioeconomic status on functional outcomes after stroke: a systematic review and meta-analysis 93%
Similar papers in this journal
- Association between kidney measurements and cognitive performance in patients with ischemic stroke 92%
- Short report: Targeted analysis of whole exome sequencing data in Indian cryptogenic stroke patients 92%
- Continuous administration of the p38α inhibitor neflamapimod during the subacute phase after transient ischemia-induced stroke in the rat promotes dose-dependent functional recovery accompanied by increase in brain BDNF protein level 91%
Similar papers in this journal
- Improvement in Delivery of Ischemic Stroke Treatments but Stagnation of Clinical Outcomes in Young Adults in South Korea 95%
- Elevated remnant cholesterol improves prognosis of patients with ischemic stroke and malnutrition: a cohort-based study 95%
- Normobaric Hyperoxia Combined with Endovascular Treatment Based on Temporal Gradient: A dose-escalation study 93%
Similar papers in this journal
- Dynamic cerebral autoregulation during and 3 months after endovascular treatment in large-vessel occlusion stroke 90%
- Rapid Clinical Screening and Staging for COVID-19 Severe Outcome A Hospitalization Study in New York City 89%
- Metformin Is Associated with Favorable Outcomes in Patients with COVID-19 and Type 2 Diabetes Mellitus 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.