Investigation of Risk Factors and Development of Clinical Prediction Model for Nocardiosis in Lung Transplant Recipients
Year: 2025
Type: article
Study design: Observational Study
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: 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: T cells, and IgA are independent risk factors for nocardiosis post-lung transplantation. The developed model effectively distinguishes nocardiosis cases, aiding early clinical identification.
Source: Infection and Drug Resistance
DOI: 10.2147/idr.s536103
Authors: Hengyu Zhao, Zhibin Xu, Xiaohua Wang, Yu Xu, Yi Lu, Jiaqi Chen, Qiaoyu Ye, Xuan Li, Yanhua Wen, Chunrong Ju
Language: English
Subfield: Microbiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
Awards: G5783365073, G6101868686
OpenAlex ID: W4413888638
