Evidence map›Paper›PMID 41285491›Full record

ArticleJournal of epidemiology2026

Validation of Recorded Diagnoses of Acute Kidney Injury Among Surgical Patients in the Japanese Diagnosis Procedure Combination Database.

So Sato, Akira Okada, Yoshihisa Miyamoto, Hayato Yamana, Hideo Yasunaga

Abstract readValidation Study
In one paragraph

Article in Journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

So SatoDepartment of Clinical Epidemiology and Health Economics, Graduate School of Medicine, The University of Tokyo.ORCID 0000-0003-1265-6835
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo.ORCID 0000-0001-6480-3388
Yoshihisa MiyamotoDepartment of Real-World Evidence, Graduate School of Medicine, The University of Tokyo.ORCID 0000-0003-2852-2946
Hayato YamanaData Science Center, Jichi Medical University.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, Graduate School of Medicine, The University of Tokyo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearchers widely use the Diagnosis Procedure Combination (DPC) database for studies on acute-care hospitalization in Japan. However, the validity of acute kidney injury (AKI) diagnostic codes among patients who underwent surgery under general anesthesia is unclear.

methodsUnder the Japanese Next-Generation Healthcare Infrastructure Act, we obtained DPC data linked with the laboratory data of adult surgical patients with baseline and follow-up serum creatinine measurements from three hospitals (2021-2024). Recorded diagnoses of AKI were identified using the International Classification of Diseases-10

resultsAmong 7,374 eligible patients, 663 (9.0%) met the KDIGO-defined AKI criteria, while 35 (0.5%) patients had the AKI codes. The sensitivity was 4.1% (95% CI, 2.7-5.9%), and the specificity was 99.9% (95% CI, 99.8-99.9%). The sensitivity increased for patients with stages 2 and 3 AKI, lower eGFR, emergent admission, or cardiovascular surgery.

conclusionAmong surgical patients, AKI coding in the DPC exhibited high specificity and positive predictive value, albeit low sensitivity. Incorporating laboratory data is important for more accurate identification of patients with AKI for use in clinical studies.

Indexed as

Acute Kidney InjuryDatabases, FactualAdultAgedCreatinineEast Asian PeopleFemaleHumansInternational Classification of DiseasesJapanMaleMiddle AgedSensitivity and SpecificityCreatinineacute kidney injuryadministrative datadiagnosislaboratory datavalidation

Identifiers

PMID41285491
PMCPMC13158353

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