Risk factors for identifying pneumocystis pneumonia in pediatric patients.

IF 4.6 2区 医学 Q2 IMMUNOLOGY Frontiers in Cellular and Infection Microbiology Pub Date : 2024-10-23 eCollection Date: 2024-01-01 DOI:10.3389/fcimb.2024.1398152
Chunyan Zhang, Zheng Li, Xiao Chen, Mengyuan Wang, Enhui Yang, Huan Xu, Shifu Wang
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Abstract

Objectives: This study aimed to identify the risk factors and construct the diagnostic model associated with pneumocystis pneumonia (PCP) in pediatric patients.

Methods: This retrospective observational study analyzed 34 cases of PCP and 51 cases of other types of pneumonia treated at Children's Hospital Affiliated to Shandong University between January 2021 and August 2023. Multivariate binary logistic regression was used to identify the risk factors associated with PCP. Receiver operating characteristic curves and calibration plots were constructed to evaluate the diagnostic model.

Results: Twenty clinical variables significantly differed between the PCP and non-PCP groups. Multivariate binary logistic regression analysis revealed that dyspnea, body temperature>36.5°C, and age<1.46 years old were risk factors for PCP. The area under the curve of the diagnostic model was 0.958, the P-value of Hosmer-Lemeshow calibration test was 0.346, the R2 of the calibration plot for the actual and predicted probability of PCP was 0.9555 (P<0.001), and the mean Brier score was 0.069. In addition, metagenomic next-generation sequencing revealed 79.41% (27/34) and 52.93% (28/53) mixed infections in the PCP and non-PCP groups, respectively. There was significantly more co-infection with cytomegalovirus and Streptococcus pneumoniae in the PCP group than that in the non-PCP group (p<0.05).

Conclusions: Dyspnea, body temperature>36.5°C, and age<1.46 years old were found to be independent risk factors for PCP in pediatric patients. The probability of co-infection with cytomegalovirus and S. pneumoniae in the PCP group was significantly higher than that in the non-PCP group.

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识别儿科患者肺孢子菌肺炎的风险因素。
研究目的本研究旨在确定与儿科患者肺孢子菌肺炎(PCP)相关的风险因素并构建诊断模型:这项回顾性观察研究分析了2021年1月至2023年8月期间在山东大学附属儿童医院接受治疗的34例PCP患者和51例其他类型肺炎患者。研究采用多变量二元逻辑回归来确定与 PCP 相关的风险因素。构建了接收者操作特征曲线和校准图来评估诊断模型:五氯苯酚组和非五氯苯酚组之间有 20 个临床变量存在明显差异。多变量二元逻辑回归分析显示,呼吸困难、体温>36.5°C和年龄的Hosmer-Lemeshow校准检验P值为0.346,PCP实际概率和预测概率的校准图R2为0.9555(PCP组的肺炎链球菌感染率高于非PCP组(P结论:PCP组的肺炎链球菌感染率高于非PCP组(P结论:PCP组的肺炎链球菌感染率高于非PCP组(P结论:PCP组的肺炎链球菌感染率高于非PCP组):五氯苯酚组的呼吸困难、体温>36.5°C和年龄肺炎链球菌明显高于非五氯苯酚组。
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来源期刊
CiteScore
7.90
自引率
7.00%
发文量
1817
审稿时长
14 weeks
期刊介绍: Frontiers in Cellular and Infection Microbiology is a leading specialty journal, publishing rigorously peer-reviewed research across all pathogenic microorganisms and their interaction with their hosts. Chief Editor Yousef Abu Kwaik, University of Louisville is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Cellular and Infection Microbiology includes research on bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens as well as the microbiota and its effect on health and disease in various hosts. The research approaches include molecular microbiology, cellular microbiology, gene regulation, proteomics, signal transduction, pathogenic evolution, genomics, structural biology, and virulence factors as well as model hosts. Areas of research to counteract infectious agents by the host include the host innate and adaptive immune responses as well as metabolic restrictions to various pathogenic microorganisms, vaccine design and development against various pathogenic microorganisms, and the mechanisms of antibiotic resistance and its countermeasures.
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