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

Yang, Xue1,2; Wu, Man3; Li, Tangzhiming4; Yu, Jie5; Fu, Tian6; Li, Guoping7; Xiong, Huanwen8; Liao, Gang9; Zhang, Sensen10; Li, Shaofeng11; Zeng, Zhonghua12; Chen, Chun13; Liang, Benhui14,15,16; Zhou, Zhiguo17; Lu, Ming18

2024

10.2147/IDR.S431543

INFECTION AND DRUG RESISTANCE   影响因子和分区

1178-6973

Introduction: C. psittaci pneumonia has atypical clinical manifestations and is often ignored by clinicians. This study analyzed the clinical characteristics, explored the risk factors for composite outcome and established a prediction model for early prediction of composite outcome among C. psittaci pneumonia patients. Methods: A multicenter, retrospective, observational cohort study was conducted in ten Chinese tertiary hospitals. Patients diagnosed with C. psittaci pneumonia were included, and their clinical data were collected and analyzed. The composite outcome of C. psittaci pneumonia included death during hospitalization, ICU admission, and mechanical ventilation. Univariate and multivariable logistic regression analyses were conducted to determine the significant variables. A ten-fold cross-validation was performed to internally validate the model. The model performance was evaluated using various methods, including receiver operating characteristics (ROC), C-index, sensitivity, specificity, positive/negative predictive value (PPV/NPV), decision curve analysis (DCA), and clinical impact curve analysis (CICA). Results: In total, 83 patients comprised training cohorts and 36 patients comprised validation cohorts. CURB-65 was used to establish predictive Model 1. Multivariate logistic regression analysis identified three independent prognostic factors, including serum albumin, CURB-65, and white blood cells. These factors were employed to construct model 2. Model 2 had acceptable discrimination (AUC of 0.898 and 0.825 for the training and validation sets, respectively) and robust internal validity. The specificity, sensitivity, NPV, and PPV for predicting composite outcome in the nomogram model were 91.7%, 84.5%, 50.0%, and 98.4% in the training sets, and 100.0%, 64.7%, 14.2%, and 100.0% in the validation sets. DCA and CICA showed that the nomogram model was clinically practical. Conclusion: 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.

Chlamydia psittaci pneumonia nomogram prediction model composite outcome

SCI

英语

其他

Program of Hunan Province[2022SK2047] ; Natural Science Foundation of Changsha city["kq2208448","kq2202002"]

Infectious Diseases ; Pharmacology & Pharmacy

Infectious Diseases ; Pharmacology & Pharmacy

WOS:001307418800001

DOVE MEDICAL PRESS LTD

Web of Science

1.Jinan Univ, Clin Med Coll 2, Shenzhen Inst Resp Dis, Shenzhen Peoples Hosp, Shenzhen, Guangdong, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Guangdong, Peoples R China
3.Fudan Univ, Shanghai Publ Hlth Clin Ctr, Dept Resp & Crit Care Med, Shanghai, Peoples R China
4.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Shenzhen Cardiovasc Minimally Invasive Med Engn Te, Shenzhen, Guangdong, Peoples R China
5.Nanchang Med Coll, Jiangxi Prov Peoples Hosp, Affiliated Hosp 1, Dept Resp & Crit Care Med, Nanchang, Jiangxi, Peoples R China
6.Jining 1 Peoples Hosp, Dept Resp & Crit Care Med, Jining, Shandong, Peoples R China
7.Tongde Hosp Zhejiang Prov, Dept Resp & Crit Care Med, Hangzhou, Zhejiang, Peoples R China
8.Nanchang Univ, Affiliated Hosp 1, Dept Resp & Crit Care Med, Gaoxin Branch, Nanchang, Jiangxi, Peoples R China
9.Shenzhen Hosp Integrated Tradit Chinese & Western, Dept Resp & Crit Care Med, Shenzhen, Guangdong, Peoples R China
10.Third Cent Hosp Tianjin, Dept Resp Med, Tianjin, Peoples R China
11.Jiangxi Univ Chinese Med, Affiliated Hosp, Dept Resp & Crit Care Med, Nanchang, Jiangxi, Peoples R China
12.First Peoples Hosp Fuzhou, Dept Resp & Crit Care Med, Fuzhou, Jiangxi, Peoples R China
13.Hangzhou Med Coll, Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Canc Ctr, Hangzhou, Zhejiang, Peoples R China
14.Cent South Univ, Xiangya Hosp, Dept Cardiol, Changsha, Peoples R China
15.Natl Ctr Cardiovasc Dis, Dept Struct Heart Dis, Beijing, Peoples R China
16.Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Natl Clin Res Ctr Cardiovasc Dis, State Key Lab Cardiovasc Dis,Natl Hlth Commiss,Ke, Beijing, Peoples R China
17.Cent South Univ, Affiliated Changsha Hosp, Xiangya Sch Med, Dept Pulm & Crit Care Med, Changsha, Hunan, Peoples R China
18.Nanchang Univ, Affiliated Hosp 1, Jiangxi Med Coll, Dept Pulm & Crit Care Med, Nanchang, Jiangxi, Peoples R China

Yang, Xue,Wu, Man,Li, Tangzhiming,et al. Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China[J]. INFECTION AND DRUG RESISTANCE,2024,17.

Yang, Xue.,Wu, Man.,Li, Tangzhiming.,Yu, Jie.,Fu, Tian.,...&Lu, Ming.(2024).Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China.INFECTION AND DRUG RESISTANCE,17.

Yang, Xue,et al."Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China".INFECTION AND DRUG RESISTANCE 17(2024).