Investigation of Risk Factors and Development of Clinical Prediction Model for Nocardiosis in Lung Transplant Recipients.

IF 2.9 3区 医学 Q2 INFECTIOUS DISEASES
Infection and Drug Resistance Pub Date : 2025-09-02 eCollection Date: 2025-01-01 DOI:10.2147/IDR.S536103
Hengyu Zhao, Zhibin Xu, Xiaohua Wang, Yu Xu, Yi Lu, Jiaqi Chen, Qiaoyu Ye, Xuan Li, Yanhua Wen, Chunrong Ju
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引用次数: 0

Abstract

Purpose: Nocardiosis is an opportunistic infection in lung transplant recipients but is often misdiagnosed or overlooked. This study aimed to identify risk factors and develop an effective predictive model for nocardiosis in this population.

Patients and methods: This single-center retrospective study analyzed 679 lung transplant recipients from January 1, 2015, to July 9, 2024. Twenty patients with nocardiosis were compared with 40 matched controls. Feature selection was performed using LASSO regression, and logistic regression identified risk factors. Model performance was assessed via ROC curves, calibration curves, and decision curve analysis.

Results: Decreased CD4+ T cells, elevated CD8+ T cells, and reduced IgA levels were significantly associated with nocardiosis (P < 0.05). The model incorporating these factors demonstrated strong predictive ability with an area under the ROC curve of 0.955.

Conclusion: CD4+ T cells, CD8+ T cells, and IgA are independent risk factors for nocardiosis post-lung transplantation. The developed model effectively distinguishes nocardiosis cases, aiding early clinical identification.

Abstract Image

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肺移植受者诺卡菌病危险因素调查及临床预测模型的建立。
目的:诺卡菌病是肺移植受者的机会性感染,但常被误诊或忽视。本研究旨在确定该人群诺卡菌病的危险因素并建立有效的预测模型。患者和方法:这项单中心回顾性研究分析了2015年1月1日至2024年7月9日期间679例肺移植受者。20例诺卡病患者与40例匹配的对照组进行比较。使用LASSO回归进行特征选择,并使用逻辑回归识别危险因素。通过ROC曲线、校正曲线和决策曲线分析评估模型的性能。结果:CD4+ T细胞降低、CD8+ T细胞升高、IgA水平降低与诺卡病有显著相关性(P < 0.05)。纳入这些因素的模型预测能力较强,ROC曲线下面积为0.955。结论:CD4+ T细胞、CD8+ T细胞和IgA是肺移植术后诺卡菌病的独立危险因素。该模型能有效区分诺卡菌病病例,有助于早期临床诊断。
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来源期刊
Infection and Drug Resistance
Infection and Drug Resistance Medicine-Pharmacology (medical)
CiteScore
5.60
自引率
7.70%
发文量
826
审稿时长
16 weeks
期刊介绍: About Journal Editors Peer Reviewers Articles Article Publishing Charges Aims and Scope Call For Papers ISSN: 1178-6973 Editor-in-Chief: Professor Suresh Antony An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.
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