ArticleClinical epidemiology2023
Validation of ICD-10-CM Diagnostic Codes for Identifying Patients with ST-Elevation and Non-ST-Elevation Myocardial Infarction in a National Health Insurance Claims Database.
Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 16 citations in OpenAlex.
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- Relationship Between Cardiovascular Disease Risk and Long-Term Neurological Sequelae After Carbon Monoxide Poisoning: A Nationwide Cohort Study.Journal of clinical medicine · 2026Article
- Accuracy of New Hypertensive Crisis Diagnoses Using International Classification of Disease (ICD)-10: A Validation Study in a National Medicare Sample.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Reason for hospitalization contrasting adjudication versus ICD-10-CM coding among persons with HIV, 2016-2019.AIDS research and therapy · 2026Article
- Cardiovascular Risks of Aromatase Inhibitors versus Tamoxifen in Postmenopausal Breast Cancer: A Multinational Cohort Study.Clinical epidemiology · 2026Article
- Leveraging electronic health record data for precision medicine insights: the precision medicine registry at NYU Langone Health.npj health systems · 2026Article
- Epidemiology and sociodemographic determinants of chronic temporomandibular disorders in South Korea: a nationwide population-based study.BMC oral health · 2025Article
- Trends in cardiovascular disease prevalence among adults with type 1 diabetes in the USA: analysis of commercial claims data, 2017-2021.BMJ open diabetes research & care · 2025Article
- Lipoprotein(a) and recurrent atherosclerotic cardiovascular events: the US Family Heart Database.European heart journal · 2025Article
- SGLT2 Inhibitors and Improved Survival in Patients with Diabetes and Acute Myocardial Infarction: Evidence from an Electronic Health Record-Based Cohort Study.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2025Article
- Validation of ICD-10 Diagnosis Codes for Identification of Acute Myocardial Infarction From a US Integrated Healthcare System.Pharmacoepidemiology and drug safety · 2025Article
- Author Response to the Comment on "Time Trends in Cardiovascular Event Incidence in New-Onset Type 2 Diabetes: A Population-Based Cohort Study From Germany".Journal of diabetes · 2025Article
- Comment on "Time Trends in Cardiovascular Event Incidence in New-Onset Type 2 Diabetes: A Population-Based Cohort Study From Germany".Journal of diabetes · 2025Article
- Location of Terminal Care in Pulmonary Hypertension.CJC open · 2025Article
- Taiwan's National Health Insurance Research Database (NHIRD): in the Era of Artificial Intelligence, Causal Inference, and Data Security.Clinical epidemiology · 2025Review
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7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Distinguishing ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) is crucial in acute myocardial infarction (AMI) research due to their distinct characteristics. However, the accuracy of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for STEMI and NSTEMI in Taiwan's National Health Insurance (NHI) database remains unvalidated. Therefore, we developed and validated case definition algorithms for STEMI and NSTEMI using ICD-10-CM and NHI billing codes. Patients and Methods: We obtained claims data and medical records of inpatient visits from 2016 to 2021 from the hospital's research-based database. Potential STEMI and NSTEMI cases were identified using diagnostic codes, keywords, and procedure codes associated with AMI. Chart reviews were then conducted to confirm the cases. The performance of the developed algorithms for STEMI and NSTEMI was assessed and subsequently externally validated. Results: The algorithm that defined STEMI as any STEMI ICD code in the first three diagnosis fields had the highest performance, with a sensitivity of 93.6% (95% confidence interval [CI], 91.7-95.2%), a positive predictive value (PPV) of 89.4% (95% CI, 87.1-91.4%), and a kappa of 0.914 (95% CI, 0.900-0.928). The algorithm that used the NSTEMI ICD code listed in any diagnosis field performed best in identifying NSTEMI, with a sensitivity of 82.6% (95% CI, 80.7-84.4%), a PPV of 96.5% (95% CI, 95.4-97.4), and a kappa of 0.889 (95% CI, 0.878-0.901). The algorithm that included either STEMI or NSTEMI ICD codes listed in any diagnosis field showed excellent performance in defining AMI, with a sensitivity of 89.4% (95% CI, 88.2-90.6%), a PPV of 95.6% (95% CI, 94.7-96.4%), and a kappa of 0.923 (95% CI, 0.915-0.931). External validation confirmed these algorithms' efficacy. Conclusion: Our results provide valuable reference algorithms for identifying STEMI and NSTEMI cases in Taiwan's NHI database.
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