Nomogram for Prediction of Bronchial Mucus Plugs in Children with Mycoplasma pneumoniae Pneumonia

The presence of bronchial mucus plugs (BMP) in children with Mycoplasma pneumoniae pneumonia (MPP) results in delayed clinical and radiographic resolution and long-standing pulmonary sequelae. The predictive factors associated with BMP formation remains poorly defined. Nomograms to predict BMP prese...

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Veröffentlicht in:Scientific reports 2020-03, Vol.10 (1), p.4579-4579, Article 4579
Hauptverfasser: Xu, Xuefeng, Li, Huiwen, Sheng, Yuanjian, Wu, Lei, Wang, Danli, Liu, Lingyue, Tong, Yu, Chen, Zhimin
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container_title Scientific reports
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creator Xu, Xuefeng
Li, Huiwen
Sheng, Yuanjian
Wu, Lei
Wang, Danli
Liu, Lingyue
Tong, Yu
Chen, Zhimin
description The presence of bronchial mucus plugs (BMP) in children with Mycoplasma pneumoniae pneumonia (MPP) results in delayed clinical and radiographic resolution and long-standing pulmonary sequelae. The predictive factors associated with BMP formation remains poorly defined. Nomograms to predict BMP presence in children with MPP were proposed using a cohort of patients who underwent bronchoscopy intervention at Children’s Hospital in Eastern China. Patients with MPP in an earlier period formed the training cohort (n = 872) for nomogram development, and those thereafter formed the validation cohort (n = 399) to confirmed model’s performance. BMP in children with MPP were found in 196 (22.5%) and 91(22.8%) patients in the training and validation cohorts, respectively. The independent risk factors associated with BMP were age >5years (OR 2.06; 95% CI 1.43 to 2.98), higher IL-10 level (>10 ng/L, 2.19; 95% CI 1.46 to 3.28), higher IFN-γ level (>30 ng/L, 1.69; 95% CI 1.13 to 2.54), and presence of complication (3.43; 95% CI 1.45 to 8.09). Incorporating these 4 factors, the nomogram achieved good concordance indexes of 0.771(95% CI, 0.734–0.808) and 0.796 (95% CI, 0.744–0.848) in predicting BMP in the training and validation cohorts, respectively. The nomogram achieved an optimal prediction of BMP in children with MPP. Using this model, the risk of BMP formation would be determined, contributing to a rational therapeutic choice.
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The predictive factors associated with BMP formation remains poorly defined. Nomograms to predict BMP presence in children with MPP were proposed using a cohort of patients who underwent bronchoscopy intervention at Children’s Hospital in Eastern China. Patients with MPP in an earlier period formed the training cohort (n = 872) for nomogram development, and those thereafter formed the validation cohort (n = 399) to confirmed model’s performance. BMP in children with MPP were found in 196 (22.5%) and 91(22.8%) patients in the training and validation cohorts, respectively. The independent risk factors associated with BMP were age &gt;5years (OR 2.06; 95% CI 1.43 to 2.98), higher IL-10 level (&gt;10 ng/L, 2.19; 95% CI 1.46 to 3.28), higher IFN-γ level (&gt;30 ng/L, 1.69; 95% CI 1.13 to 2.54), and presence of complication (3.43; 95% CI 1.45 to 8.09). Incorporating these 4 factors, the nomogram achieved good concordance indexes of 0.771(95% CI, 0.734–0.808) and 0.796 (95% CI, 0.744–0.848) in predicting BMP in the training and validation cohorts, respectively. The nomogram achieved an optimal prediction of BMP in children with MPP. 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The predictive factors associated with BMP formation remains poorly defined. Nomograms to predict BMP presence in children with MPP were proposed using a cohort of patients who underwent bronchoscopy intervention at Children’s Hospital in Eastern China. Patients with MPP in an earlier period formed the training cohort (n = 872) for nomogram development, and those thereafter formed the validation cohort (n = 399) to confirmed model’s performance. BMP in children with MPP were found in 196 (22.5%) and 91(22.8%) patients in the training and validation cohorts, respectively. The independent risk factors associated with BMP were age &gt;5years (OR 2.06; 95% CI 1.43 to 2.98), higher IL-10 level (&gt;10 ng/L, 2.19; 95% CI 1.46 to 3.28), higher IFN-γ level (&gt;30 ng/L, 1.69; 95% CI 1.13 to 2.54), and presence of complication (3.43; 95% CI 1.45 to 8.09). Incorporating these 4 factors, the nomogram achieved good concordance indexes of 0.771(95% CI, 0.734–0.808) and 0.796 (95% CI, 0.744–0.848) in predicting BMP in the training and validation cohorts, respectively. The nomogram achieved an optimal prediction of BMP in children with MPP. Using this model, the risk of BMP formation would be determined, contributing to a rational therapeutic choice.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32165709</pmid><doi>10.1038/s41598-020-61348-w</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects 692/308/3187
692/499
692/699/255/1318
Bronchoscopy
Child
Child, Preschool
Children
Complications
Female
Humanities and Social Sciences
Humans
Interferon-gamma - metabolism
Interleukin 10
Interleukin-10 - metabolism
Male
Mucus
Mucus - immunology
Mucus - microbiology
multidisciplinary
Mycoplasma pneumoniae
Mycoplasma pneumoniae - isolation & purification
Nomograms
Patients
Pneumonia
Pneumonia, Mycoplasma - diagnosis
Pneumonia, Mycoplasma - immunology
Risk Factors
Science
Science (multidisciplinary)
Training
γ-Interferon
title Nomogram for Prediction of Bronchial Mucus Plugs in Children with Mycoplasma pneumoniae Pneumonia
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