Stroke burden in the Philippines (1990-2023): Temporal trends and risk factors from the GBD study
Lescano, J. I. O.; Belangoy, K. P.; Nishimura, Y.; Harada, K.; Hagiya, H.; Vu, Q.; Ouddoud, H.; See, G. L. L.; Arce, F. V.; Tan, E. Y.; Iwata, N.; Takeda, T.; Zamami, Y.; Koyama, T.
Show abstract
BackgroundStroke is a leading cause of mortality and disability globally. However, information about stroke burden in the Philippines is limited. We sought to analyze stroke burden in the Philippines from 1990 to 2023. MethodsIncidence, prevalence, mortality, and disability-adjusted life-years (DALYs) estimates from the Global Burden of Disease Study 2023 data were used as indicators to analyze the burden of stroke by sex and age. Temporal trends in both crude and age-standardized rates were analyzed using joinpoint regression analysis. ResultsIn 2023, stroke incidence was estimated at 156.2 (95% uncertainty interval [UI]: 140.8-175.4) thousand, prevalence at 1.2 (95% UI: 1.2-1.4) million, mortality at 72.2 (95% UI: 63.2-83.0) thousand, and DALYs at 2.1 (95% UI: 1.8-2.3) million. High systolic blood pressure was the leading contributor to risk-attributable stroke mortality and DALYs. Since 1990, age-standardized rates declined significantly, whereas crude rates increased markedly. Compared with women, men had a higher fatal burden and consistently exhibited a higher age-standardized burden. Although older adults ([≥] 55 years) had the highest stroke burden and achieved reductions in stroke incidence and fatal outcomes, both fatal and non-fatal burdens consistently increased among young adults (35-54 years). ConclusionWhile age-standardized rates have improved, the rising crude burden and shift towards younger adults present significant public health challenges. These trends highlight the pressing need for aggressive and targeted risk factor control, sustained risk monitoring, and strengthened acute and post-stroke care to mitigate the growing health burden of stroke in the Philippines.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Improvement in Delivery of Ischemic Stroke Treatments but Stagnation of Clinical Outcomes in Young Adults in South Korea 93%
- Elevated remnant cholesterol improves prognosis of patients with ischemic stroke and malnutrition: a cohort-based study 93%
- Normobaric Hyperoxia Combined with Endovascular Treatment Based on Temporal Gradient: A dose-escalation study 93%
Similar papers in this journal
- Disparities in Access to Vascular Stroke Imaging and Carotid Revascularization: A Population Study 93%
- Influence of socioeconomic status on functional outcomes after stroke: a systematic review and meta-analysis 93%
- Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study 92%
Similar papers in this journal
- Vascular Risk Factor Prevalence and Trends in Native Americans With Ischemic Stroke - A National Inpatient Sample Analysis 93%
- White matter lesions as a prognostic marker of recurrence in cryptogenic stroke with high-risk patent foramen ovale 93%
- Modified Rankin Scale Disability Status at Day 4 Poststroke is an Informative Predictor of Long-Term Day 90 Outcome 92%
Similar papers in this journal
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 93%
- Associations between cardiovascular risk factors, stroke severity, and post-stroke cognition: a moderated mediation analysis 93%
- Left Hemisphere Bias of NIH Stroke Scale is Most Severe for Middle Cerebral Artery Strokes 93%
Similar papers in this journal
- Long-term outcomes of hospitalized SARS-CoV-2/COVID-19 patients with and without neurological involvement: 3-year follow-up assessment 92%
- Estimation of SARS-CoV-2 mortality during the early stages of an epidemic: a modeling study in Hubei, China, and six regions in Europe 88%
- Assessing the Impact of the Covid-19 Pandemic on US Mortality: A County-Level Analysis 88%
"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.