Validation of diagnostic coding for chronic kidney disease using a Japanese hospital-based database

Momiji Otani-Kono1, Shungo Imai2, Masami Tsuchiya1

  • 1Division of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan.

PubMed

Insights

The validity of International Classification of Diseases 10th Revision (ICD-10) codes for chronic kidney disease (CKD) in Japan was evaluated. The overall positive predictive value (PPV) was 57.9%, indicating limited accuracy for CKD diagnosis using these codes.

Area of Science:

  • Nephrology
  • Medical Informatics
  • Public Health

Background:

  • The accuracy of International Classification of Diseases 10th Revision (ICD-10) codes for chronic kidney disease (CKD) in Japan remains unevaluated.
  • This study addresses the critical need to assess the validity of CKD-related ICD-10 codes within the Japanese healthcare system.

Purpose of the Study:

  • To evaluate the validity of ICD-10 codes used for identifying patients with chronic kidney disease (CKD) in Japan.
  • To determine the positive predictive value (PPV), sensitivity, specificity, and negative predictive value (NPV) of these codes.

Main Methods:

  • A retrospective cohort study utilized the JMDC hospital-based database (Japan).
  • Patients with two serum creatinine measurements (90-365 days apart) were identified; CKD was defined by Kidney Disease: Improving Global Outcomes (KDIGO) criteria (eGFR < 60 mL/min/1.73 m²).
  • The PPV, sensitivity, specificity, and NPV of specific CKD-related ICD-10 codes were calculated.

Main Results:

  • The study included 618,208 patients; 59,139 received CKD-related ICD-10 codes, and 172,657 met KDIGO criteria.
  • Overall PPV was 57.9%, sensitivity 19.8%, specificity 94.4%, and NPV 75.2%.
  • Specific codes (N183, N184, N185, N189) demonstrated PPVs exceeding 80%.

Conclusions:

  • The overall PPV of ICD-10 codes for CKD in Japan (57.9%) is lower than in the US (86.1%) and Canada (60.1%).
  • Certain ICD-10 codes show potential utility for identifying CKD patients, despite overall limited sensitivity.
  • Further validation and potential refinement of coding practices are suggested for accurate CKD surveillance.
Abstract

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