2020年
Prediction Model for Prolonged Length of Stay in Patients with Community-Acquired Pneumonia Based on Japanese Administrative Data.
Respiratory Investigation
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- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.resinv.2020.08.005
The development and validation of prediction models of prolonged length of stay in community-acquired pneumonia was performed using administrative data from 304 acute care hospitals in Japan. Significant factors associated with prolongation were age, ADL, FiO2, JCS, anemia, etc. with C-statistic of 0.78 (95% CI 0.77-0.98). Our prediction model was considered useful in identifying patients at high risk of prolonged length of stay and appropriate hospitalization management.
- ID情報
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- DOI : 10.1016/j.resinv.2020.08.005