Accuracy of Diagnostic Coding for Acute Kidney Injury in Japan—Analysis of a Japanese Hospital‐Based Database
The ICD-10 codes for AKI showed poor positive predictive values for AKI as defined by the KDIGO criteria, suggesting that it may be difficult to identify AKI using ICD-10 codes alone in the Japanese context.
Authors
- Masami Tsuchiya (ORCID: https://orcid.org/0000-0003-3846-0435)
- Hayato Kizaki (ORCID: https://orcid.org/0000-0002-4572-1333)
- Satoru Mitsuboshi (ORCID: https://orcid.org/0000-0002-6244-1253)
- Satoko Hori (ORCID: https://orcid.org/0000-0002-4596-5418)
- Shungo Imai (ORCID: https://orcid.org/0000-0001-5706-613X)
Institutions
- Keio University (JP)
- Kaetsu University (JP)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/pds.70146
- Citations
- 5
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 7.15
Funders
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Core Research for Evolutional Science and Technology