ArticleClinical epidemiology2022
Validation of Stroke Risk Factors in Patients with Acute Ischemic Stroke, Transient Ischemic Attack, or Intracerebral Hemorrhage on Taiwan's National Health Insurance Claims Data.
Article in Clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk of Ischemic Stroke After Transient Ischemic Attack in Patients Receiving Comprehensive Versus Noncomprehensive Diagnostic Workup: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2025Pooled it
- Agomelatine and the potential inverse risk of metabolic disorders: a nationwide cohort study with an active comparator design in Taiwan.Diabetology & metabolic syndrome · 2026Article
- Comparative cardiovascular risk of sulfonylureas with low- and high-affinities for cardiac mitochondrial adenosine triphosphate-sensitive potassium channels versus dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes: A cohort study.Diabetes, obesity & metabolism · 2025Article
- Cardiovascular Outcomes Associated with Cholinesterase Inhibitor Use in Individuals at High Cardiovascular Risk.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2025Article
- Use of dipeptidyl peptidase-4 inhibitors is associated with lower risk of severe renal outcomes in pre-dialysis patients with Type 2 diabetes.Journal of internal medicine · 2025Article
- Direct medical cost of first-ever acute ischemic stroke in malaysia: a retrospective cohort study.Scientific reports · 2025Article
- Prognostic Models of Mortality Following First-Ever Acute Ischemic Stroke: A Population-Based Retrospective Cohort Study.Health science reports · 2025Article
- Stroke Epidemiology in Asia.Cerebrovascular diseases extra · 2025Review
- Risk of Bladder Cancer in Patients with Chronic Indwelling Catheters: A Real-World Data Analysis.Journal of Cancer · 2025Article
- Taiwan's National Health Insurance Research Database (NHIRD): in the Era of Artificial Intelligence, Causal Inference, and Data Security.Clinical epidemiology · 2025Review
- Incidence and Risk of Cardiovascular Outcomes in Patients With Anorexia Nervosa.JAMA network open · 2024Article
- Characteristics and risk of stroke in emergency department patients with acute dizziness.Heliyon · 2024Article
- Seasonal impact of diurnal temperature range on intracerebral hemorrhage in middle-aged and elderly people in central China.Epidemiology and health · 2024Article
- Statin prescription disparities in patients with breast cancer and diabetes for primary cardiovascular disease prevention.Frontiers in oncology · 2024Article
- Parental Income Level and Risk of Developing Type 2 Diabetes in Youth.JAMA network open · 2023Article
- Risk of Thrombosis Following the First Dose of ChAdOx1 nCoV-19 Vaccine in Patients Undergoing Maintenance Hemodialysis: A Self-Controlled Case Series Study.International journal of general medicine · 2023Article
- Utilization of screening and treatment for osteoporosis among stroke survivors.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Taiwan has changed the coding system to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding since 2016. This study aimed to determine the optimal algorithms for identifying stroke risk factors in Taiwan's National Health Insurance (NHI) claims data. Patients and Methods: We retrospectively enrolled 4538 patients hospitalized for acute ischemic stroke (AIS), transient ischemic attack (TIA), or intracerebral hemorrhage (ICH) from two hospitals' stroke registries, which were linked to NHI claims data. We developed several algorithms based on ICD-10-CM diagnosis codes and prescription claims data to identify hypertension, diabetes, hyperlipidemia, atrial fibrillation (AF), and ischemic heart disease (IHD) using registry data as the reference standard. The agreement of risk factor status between claims and registry data was quantified by calculating the kappa statistic. Results: According to the registry data, the prevalence of hypertension, diabetes, hyperlipidemia, AF, and IHD among all patients was 77.5%, 41.5%, 47.9%, 12.1%, and 7.1%, respectively. In general, including diagnosis codes from prior inpatient or outpatient claims to those from the stroke hospitalization claims improved the agreement. Incorporating prescription data could improve the agreement for hypertension, diabetes, hyperlipidemia, and AF, but not for IHD. The kappa values of the optimal algorithms were 0.552 (95% confidence interval 0.524-0.580) for hypertension, 0.802 (0.784-0.820) for diabetes, 0.514 (0.490-0.539) for hyperlipidemia, 0.765 (0.734-0.795) for AF, and 0.518 (0.473-0.564) for IHD. Conclusion: Algorithms using diagnosis codes alone are sufficient to identify hypertension, AF, and IHD whereas algorithms combining both diagnosis codes and prescription data are more suitable for identifying diabetes and hyperlipidemia. The study results may provide a reference for future studies using Taiwan's NHI claims data.
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