ArticleBMC infectious diseases2023
Validity of claims-based diagnoses for infectious diseases common among immunocompromised patients in Japan.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Comparative Safety Analysis of Targeted Synthetic and Biologic Disease-Modifying Antirheumatic Drugs Among Patients With Rheumatoid Arthritis: A Nationwide Cohort Study in Japan.International journal of rheumatic diseases · 2026Article
- Real-world treatment patterns for patients with non-infectious uveitis in Japan: a descriptive study using a large-scale claims database (J-CAT study).Journal of ophthalmic inflammation and infection · 2025Article
- Development and Validation of an EHR-based Algorithm for IdentifyingIn vivo (Athens, Greece)Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundTo validate Japanese claims-based disease-identifying algorithms for herpes zoster (HZ), Mycobacterium tuberculosis (MTB), nontuberculous mycobacteria infections (NTM), and Pneumocystis jirovecii pneumonia (PJP).
methodsVALIDATE-J, a multicenter, cross-sectional, retrospective study, reviewed the administrative claims data and medical records from two Japanese hospitals. Claims-based algorithms were developed by experts to identify HZ, MTB, NTM, and PJP cases among patients treated 2012-2016. Diagnosis was confirmed with three gold standard definitions; positive predictive values (PPVs) were calculated for prevalent (regardless of baseline disease-free period) and incident (preceded by a 12-month disease-free period for the target conditions) cases.
resultsOf patients identified using claims-based algorithms, a random sample of 377 cases was included: HZ (n = 95 [55 incident cases]); MTB (n = 100 [58]); NTM (n = 82 [50]); and PJP (n = 100 [84]). PPVs ranged from 67.4-70.5% (HZ), 67.0-90.0% (MTB), 18.3-63.4% (NTM), and 20.0-45.0% (PJP) for prevalent cases, and 69.1-70.9% (HZ), 58.6-87.9% (MTB), 10.0-56.0% (NTM), and 22.6-51.2% (PJP) for incident cases, across definitions. Adding treatment to the algorithms increased PPVs for HZ, with a small increase observed for prevalent cases of NTM.
conclusionsVALIDATE-J demonstrated moderate to high PPVs for disease-identifying algorithms for HZ and MTB using Japanese claims data.
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