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The Accuracy of Japanese Administrative Data in Identifying Acute Exacerbation of Idiopathic Pulmonary Fibrosis.
Anan, Keisuke; Kataoka, Yuki; Ichikado, Kazuya; Kawamura, Kodai; Johkoh, Takeshi; Fujimoto, Kiminori; Tobino, Kazunori; Tachikawa, Ryo; Ito, Hiroyuki; Nakamura, Takahito; Kishaba, Tomoo; Inomata, Minoru; Yamamoto, Yosuke.
Afiliación
  • Anan K; Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Kataoka Y; Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan.
  • Ichikado K; Systematic Review Workshop Peer Support Group (SRWS-PSG), Osaka, Japan.
  • Kawamura K; Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Johkoh T; Systematic Review Workshop Peer Support Group (SRWS-PSG), Osaka, Japan.
  • Fujimoto K; Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Kyoto, Japan.
  • Tobino K; Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan.
  • Tachikawa R; Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan.
  • Ito H; Department of Radiology, Kansai Rosai Hospital, Hyogo, Japan.
  • Nakamura T; Department of Radiology, Kurume University School of Medicine, Fukuoka, Japan.
  • Kishaba T; Department of Respiratory Medicine, Iizuka Hospital, Fukuoka, Japan.
  • Inomata M; Department of Respiratory Medicine, Kobe City Medical Center General Hospital, Hyogo, Japan.
  • Yamamoto Y; Department of Pulmonology, Kameda Medical Center, Chiba, Japan.
Ann Clin Epidemiol ; 4(2): 53-62, 2022.
Article en En | MEDLINE | ID: mdl-38504851
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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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Ann Clin Epidemiol Año: 2022 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Ann Clin Epidemiol Año: 2022 Tipo del documento: Article País de afiliación: Japón