Accuracy of Diagnostic Coding for Acute Kidney Injury in Japan—Analysis of a Japanese Hospital‐Based Database

ABSTRACT Purpose To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. Methods The data analyzed were obtained from the JMDC hospital‐based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creat...

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Vydané v:	Pharmacoepidemiology and drug safety Ročník 34; číslo 4; s. e70146 - n/a
Hlavní autori:	Mitsuboshi, Satoru, Imai, Shungo, Tsuchiya, Masami, Kizaki, Hayato, Hori, Satoko
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Chichester, UK John Wiley & Sons, Inc 01.04.2025 Wiley Subscription Services, Inc
Predmet:	acute kidney injury Acute Kidney Injury - diagnosis Acute Kidney Injury - epidemiology Adult Aged Aged, 80 and over Brief Report Clinical Coding - standards Clinical Coding - statistics & numerical data Codes Creatinine Creatinine - blood Databases, Factual - statistics & numerical data East Asian People Female hospital‐based database Humans International Classification of Diseases - standards Japan - epidemiology Kidney diseases Kidneys Male Middle Aged positive predictive value Predictive Value of Tests serum creatinine Young Adult Japan positive predictive value acute kidney injury hospital‐based database serum creatinine
ISSN:	1053-8569, 1099-1557, 1099-1557
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Abstract	ABSTRACT Purpose To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. Methods The data analyzed were obtained from the JMDC hospital‐based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD‐10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Results A total of 467 019 patients (median age, 74 [range, 20–99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD‐10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD‐10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%–13.0%); within 14 days, 15.9% (14.3%–17.6%); and within 30 days, 20.9% (19.1%–22.8%). Conclusions 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.
AbstractList	PurposeTo evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan.MethodsThe data analyzed were obtained from the JMDC hospital‐based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD‐10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria.ResultsA total of 467 019 patients (median age, 74 [range, 20–99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD‐10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD‐10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%–13.0%); within 14 days, 15.9% (14.3%–17.6%); and within 30 days, 20.9% (19.1%–22.8%).ConclusionsThe 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. ABSTRACT Purpose To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. Methods The data analyzed were obtained from the JMDC hospital‐based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD‐10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Results A total of 467 019 patients (median age, 74 [range, 20–99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD‐10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD‐10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%–13.0%); within 14 days, 15.9% (14.3%–17.6%); and within 30 days, 20.9% (19.1%–22.8%). Conclusions 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. To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. The data analyzed were obtained from the JMDC hospital-based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD-10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. A total of 467 019 patients (median age, 74 [range, 20-99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD-10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD-10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%-13.0%); within 14 days, 15.9% (14.3%-17.6%); and within 30 days, 20.9% (19.1%-22.8%). 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. To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan.PURPOSETo evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan.The data analyzed were obtained from the JMDC hospital-based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD-10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria.METHODSThe data analyzed were obtained from the JMDC hospital-based administrative claims database from cases registered between April 2014 and August 2022. Only patients who underwent serum creatinine measurements two or more times with intervals of 7 days or less were eligible for inclusion. AKIs were identified by International Classification of Diseases 10th Revision (ICD-10) codes N14 and N17. These were assessed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria.A total of 467 019 patients (median age, 74 [range, 20-99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD-10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD-10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%-13.0%); within 14 days, 15.9% (14.3%-17.6%); and within 30 days, 20.9% (19.1%-22.8%).RESULTSA total of 467 019 patients (median age, 74 [range, 20-99] years; male, 50.9%) were eligible for inclusion. Among these patients, 1849 (0.4%) were assigned ICD-10 codes for AKI. Among these 1849 patients, the code was assigned within 7 days of the occurrence of AKI (as defined by the KDIGO criteria) in 212 patients, within 14 days in 294 patients, and within 30 days in 386 patients. The positive predictive values and 95% confidence intervals of the ICD-10 code for AKI at these timepoints were as follows: within 7 days, 11.5% (10.1%-13.0%); within 14 days, 15.9% (14.3%-17.6%); and within 30 days, 20.9% (19.1%-22.8%).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.CONCLUSIONSThe 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.
Author	Kizaki, Hayato Tsuchiya, Masami Mitsuboshi, Satoru Imai, Shungo Hori, Satoko
AuthorAffiliation	1 Department of Pharmacy Kaetsu Hospital Niigata Japan 2 Division of Drug Informatics Keio University Faculty of Pharmacy Tokyo Japan
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Snippet	ABSTRACT Purpose To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. Methods The data analyzed were obtained from the JMDC... To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan. The data analyzed were obtained from the JMDC hospital-based... PurposeTo evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan.MethodsThe data analyzed were obtained from the JMDC hospital‐based... To evaluate the accuracy of diagnostic coding for acute kidney injury (AKI) in Japan.PURPOSETo evaluate the accuracy of diagnostic coding for acute kidney...
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SubjectTerms	acute kidney injury Acute Kidney Injury - diagnosis Acute Kidney Injury - epidemiology Adult Aged Aged, 80 and over Brief Report Clinical Coding - standards Clinical Coding - statistics & numerical data Codes Creatinine Creatinine - blood Databases, Factual - statistics & numerical data East Asian People Female hospital‐based database Humans International Classification of Diseases - standards Japan - epidemiology Kidney diseases Kidneys Male Middle Aged positive predictive value Predictive Value of Tests serum creatinine Young Adult
Title	Accuracy of Diagnostic Coding for Acute Kidney Injury in Japan—Analysis of a Japanese Hospital‐Based Database
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