Development and validation of a nomogram for predicting Mycoplasmapneumoniae pneumonia in adults

The study aimed to explore predictors of Mycoplasma pneumoniae pneumonia (MPP) in adults and develop a nomogram predictive model in order to identify high-risk patients early. We retrospectively analysed the clinical data of a total of 337 adult patients with community-acquired pneumonia (CAP) and d...

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Bibliographic Details
Published in:Scientific reports 2022-12, Vol.12 (1), p.21859
Main Authors: Ren, Yuan, Wang, Yan, Liang, Ruifeng, Hao, Binwei, Wang, Hongxia, Yuan, Jianwei, Wang, Lin, Guo, Zhizun, Zhang, Jianwei
Format: Article
Language:English
Subjects:
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Body temperature
Calibration
Cough
Humanities and Social Sciences
multidisciplinary
Nomograms
Pneumonia
Prediction models
Risk groups
Science
Science (multidisciplinary)
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Summary:The study aimed to explore predictors of Mycoplasma pneumoniae pneumonia (MPP) in adults and develop a nomogram predictive model in order to identify high-risk patients early. We retrospectively analysed the clinical data of a total of 337 adult patients with community-acquired pneumonia (CAP) and divided them into MPP and non-MPP groups according to whether they were infected with MP. Univariate and multivariate logistic regression analyses were used to screen independent predictors of MPP in adults and to developed a nomogram model. Receiver operating characteristic (ROC) curve, calibration curve, concordance index (C-index), and decision curve analysis (DCA) were used for the validation of the evaluation model. Finally, the nomogram was further evaluated by internal verification. Age, body temperature, dry cough, dizziness, CRP and tree-in-bud sign were independent predictors of MPP in adults (P  
ISSN:2045-2322
DOI:10.1038/s41598-022-26565-5