Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China.

Xue YangMan WuTangzhiming LiJie YuTian FuGuoping LiHuanwen XiongGang LiaoSensen ZhangShaofeng LiZhonghua ZengChun ChenBenhui LiangZhiguo ZhouMing Lu

Published in: Infection and drug resistance (2024)

This study constructs a refined nomogram model for predicting the composite outcome in C. psittaci pneumonia patients. This nomogram model enables early and accurate C. psittaci pneumonia patients' evaluation, which may improve clinical outcomes.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
intensive care unit
community acquired pneumonia
mechanical ventilation