ArticleClinical epidemiology2022
Validation of ICD-9-CM and ICD-10-CM Diagnostic Codes for Identifying Patients with Out-of-Hospital Cardiac Arrest in a National Health Insurance Claims Database.
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 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Ventricular Arrhythmia and Sudden Death Risk With Concomitant Antipsychotic and SSRI Use.JAMA network open · 2026Article
- Dexmedetomidine on supraventricular tachycardia in critical illness: a time-dependent propensity score matching study.Critical care (London, England) · 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
- Re: Comments on "The 30-Day Risk of Sudden Death in Patients With Epilepsy: A 10-Year Population-Based Cohort Study".Journal of clinical neurology (Seoul, Korea) · 2026Article
- Article
- Methodology for creating a novel cardiac arrest registry using the Trinetx electronic health record database.Resuscitation plus · 2025Article
- Outcomes of Out-of-Hospital Cardiac Arrest at Centers With and Without On-Site Coronary Angiography: A Nationwide Analysis.Journal of the American Heart Association · 2025Article
- Validity of out-of-hospital and in-hospital cardiac arrest algorithms in the Danish National Patient Registry.Resuscitation plus · 2025Article
- Article
- Determinants of place of death among individuals with cardiovascular disease: A Saudi sub-national register study.PloS one · 2025Article
- Taiwan's National Health Insurance Research Database (NHIRD): in the Era of Artificial Intelligence, Causal Inference, and Data Security.Clinical epidemiology · 2025Review
- Positive Predictive Value of ICD-10-CM Codes for Myocarditis in Claims Data: A Multi-Institutional Study in Taiwan.Clinical epidemiology · 2023Article
- 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.Clinical epidemiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Taiwan's national health insurance (NHI) database is a valuable resource for large-scale epidemiological and long-term survival research for out-of-hospital cardiac arrest (OHCA). We developed and validated case definition algorithms for OHCA based on the International Classification of Diseases (ICD) diagnostic codes and billing codes for NHI reimbursement. Patients and Methods: Claims data and medical records of all emergency department visits from 2010 to 2020 were retrieved from the hospital's research-based database. Death-related diagnostic codes and keywords were used to identify potential OHCA cases, which were ascertained by chart reviews. We tested the performance of the developed OHCA algorithms and validated them on an external dataset. Results: The algorithm defining OHCA as any cardiac arrest (CA)-related ICD code in the first three diagnosis fields performed the best with a sensitivity of 89.5% (95% confidence interval [CI], 88.2-90.7%), a positive predictive value (PPV) of 90.6% (95% CI, 89.4-91.8%), and a kappa value of 0.900 (95% CI, 0.891-0.909). The second-best algorithm consists of any CA-related ICD code in any diagnosis field with a billing code for triage acuity level 1, achieving a sensitivity of 85.6% (95% CI, 84.1-87.0%), a PPV of 93.6% (95% CI, 92.5-94.5), and a kappa value of 0.894 (95% CI, 0.884-0.903). Both algorithms performed well in external validation. In subgroup analyses, the former algorithm performed the best in adult patients, outpatient claims, and during the ICD-9 era. The latter algorithm performed the best in the inpatient claims and during the ICD-10 era. The best algorithm for identifying pediatric OHCAs was any CA-related ICD code in the first three diagnosis fields with a billing code for triage acuity level 1. Conclusion: Our results may serve as a reference for future OHCA studies using the Taiwan NHI database.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.