| アブストラクト | INTRODUCTION: To develop and validate a new trauma mortality prediction scoring system based on International Statistical Classification of Diseases (ICD)-10 codes, using a Japanese administrative claims and discharge abstract database. METHODS: This retrospective observational study used the Japanese Diagnosis Procedure Combination database. Injuries were categorised into 33 groups with 5 additional groups based on injury sites and types. A multivariable logistic regression analysis was performed for in-hospital mortality in a derivation cohort after adjusting for the 38 groups, patient's sex, age and Charlson Comorbidity Index score. Each variable was assigned a score that was equal to the value of the regression coefficient. The new severity score was defined as the sum of the scores. The new scoring system was tested in a validation cohort. RESULTS: The mortality rates were 2.4% (9270/393 395) and 2.5% (8778/349 285) in the derivation and validation cohorts, respectively. The area under the receiver operating curve (AUROC) of the new scoring system was 0.887 (95% CI 0.884 to 0.890) in the validation cohort. Subgroup analyses showed that the scoring system retained high predictive performance both for patients <65 years (AUROC 0.934, 95% CI 0.928 to 0.939) and for elderly patients at the age of >/=65 years (AUROC 0.825, 95% CI 0.820 to 0.829). CONCLUSIONS: A new ICD-10-based injury severity scoring system was developed and validated. Further studies are required to validate the scoring system in other databases. |
|---|
| ジャーナル名 | Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention |
|---|
| Pubmed追加日 | 2016/9/7 |
|---|
| 投稿者 | Wada, Tomoki; Yasunaga, Hideo; Yamana, Hayato; Matsui, Hiroki; Matsubara, Takehiro; Fushimi, Kiyohide; Nakajima, Susumu |
|---|
| 組織名 | Department of Emergency and Critical Care Medicine, The University of Tokyo;Hospital, Tokyo, Japan.;Department of Clinical Epidemiology and Health Economics, School of Public;Health, The University of Tokyo, Tokyo, Japan.;Department of Health Policy and Informatics, Tokyo Medical and Dental University,;Tokyo, Japan. |
|---|
| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/27597403/ |
|---|
