Annals of Clinical Epidemiology
Online ISSN : 2434-4338
ORIGINAL ARTICLE
The Accuracy of Japanese Administrative Data in Identifying Acute Exacerbation of Idiopathic Pulmonary Fibrosis
Keisuke AnanYuki KataokaKazuya IchikadoKodai KawamuraTakeshi JohkohKiminori FujimotoKazunori TobinoRyo TachikawaHiroyuki ItoTakahito NakamuraTomoo KishabaMinoru InomataYosuke Yamamoto
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2022 Volume 4 Issue 2 Pages 53-62

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Abstract

BACKGROUND

This study aimed to develop criteria for identifying patients with acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) from Japanese administrative data and validate the pre-existing criteria.

METHODS

This retrospective, multi-center validation study was conducted at eight institutes in Japan to verify the diagnostic accuracy of the disease name for AE-IPF. We used the Japanese Diagnosis Procedure Combination data to identify patients with a disease name that could meet the diagnostic criteria for AE-IPF, who were admitted to the eight institutes from January 2016 to February 2019. As a reference standard, two respiratory physicians performed a chart review to determine whether the patients had a disease that met the diagnostic criteria for AE-IPF. Furthermore, two radiologists interpreted the chest computed tomography findings of cases considered AE-IPF and confirmed the diagnosis. We calculated the positive predictive value (PPV) for each disease name and its combination.

RESULTS

We included 830 patients; among them, 216 were diagnosed with AE-IPF through the chart review. We combined the groups of disease names and yielded two criteria: the criteria with a high PPV (0.72 [95% confidence interval 0.62 to 0.81]) and that with a slightly less PPV (0.61 [0.53 to 0.68]) but more true positives. Pre-existing criteria showed a PPV of 0.40 (0.31 to 0.49).

CONCLUSION

The criteria derived in this study for identifying AE-IPF from Japanese administrative data show a fair PPV. Although these criteria should be carefully interpreted according to the target population, our findings could be utilized in future database studies on AE-IPF.

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© 2022 Society for Clinical Epidemiology

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
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