論文

査読有り
2020年

Prediction Model for Prolonged Length of Stay in Patients with Community-Acquired Pneumonia Based on Japanese Administrative Data.

Respiratory Investigation
  • Uematsu H
  • ,
  • Yamashita K
  • ,
  • Kunisawa S
  • ,
  • Imanaka Y.

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.

リンク情報
DOI
https://doi.org/10.1016/j.resinv.2020.08.005
ID情報
  • DOI : 10.1016/j.resinv.2020.08.005

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