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Identification of gastrointestinal perforation based on ICD-10 code in a Japanese administrative medical information database and associated drug exposure risk factors.
Tanigawa, Masatoshi; Kataoka, Yoko; Kishino, Takayoshi; Kohama, Mei; Uyama, Yoshiaki; Suzuki, Yasuyuki; Yokoi, Hideto.
Afiliación
  • Tanigawa M; Department of Medical Informatics, Kagawa University Hospital, Kagawa, Japan.
  • Kataoka Y; Department of Medical Informatics, Kagawa University Hospital, Kagawa, Japan.
  • Kishino T; Department of Gastrointestinal Surgery, Kagawa University Hospital, Kagawa, Japan.
  • Kohama M; Office of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
  • Uyama Y; Office of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
  • Suzuki Y; Department of Gastrointestinal Surgery, Kagawa University Hospital, Kagawa, Japan.
  • Yokoi H; Department of Medical Informatics, Kagawa University Hospital, Kagawa, Japan.
Pharmacoepidemiol Drug Saf ; 28(7): 976-984, 2019 07.
Article en En | MEDLINE | ID: mdl-31197887
ABSTRACT

PURPOSE:

The purpose of this study is to evaluate the accuracy of gastrointestinal (GI) perforation ICD-10 coding in the Diagnosis Procedure Combination (DPC) database and to examine drug exposure risk factors for GI perforation.

METHODS:

A total of 100 patients with GI perforation ICD-10 codes were selected randomly from Kagawa University Hospital's DPC database between April 2011 and December 2016. Two experienced specialist physicians independently reviewed the medical records and classified cases as "definite A," "definite B," "probable," or "no GI perforation." The positive predictive values (PPVs) of "definite A/B" cases were calculated after stratification by sex, age, ICD-10 code, and diagnostic information in the DPC data. The number of prescribed drugs with side effects of GI perforation according to historical data was compared between "definite A/B" and "no GI perforation" cases.

RESULTS:

The overall PPV was 47.0% (95% confidence interval [CI], 36.9-57.2). However, the PPVs for the three categories of diagnostic information in the DPC data ("main diagnosis," "diagnosis causing admission," and "most resource-intensive diagnosis") were each more than 70% after excluding inappropriate patients. Additionally, the PPV focused on these three categories was 76.3% (95% CI, 59.8-88.6). Prescribed drugs with side effects of GI perforation were more frequently detected in "definite A/B" cases (P = .028).

CONCLUSIONS:

Although the overall PPV for GI perforation based on ICD-10 code was low, our results suggest that the PPV could be improved by appropriate selection of DPC diagnosis category and that use of multiple medications enhances the risk of GI perforation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Grupos Diagnósticos Relacionados / Hemorragia Gastrointestinal / Perforación Intestinal Tipo de estudio: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: Asia Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2019 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Grupos Diagnósticos Relacionados / Hemorragia Gastrointestinal / Perforación Intestinal Tipo de estudio: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: Asia Idioma: En Revista: Pharmacoepidemiol Drug Saf Asunto de la revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2019 Tipo del documento: Article País de afiliación: Japón