预测淋巴瘤患者由多重耐药菌定植进展为感染的列线图的开发与验证

To investigate the risk factors for progression from multidrug-resistant (MDR) bacterial colonization to infection in hospitalized lymphoma patients and to develop a Nomogram predictive model.

A retrospective analysis was conducted on clinical data from 70 MDR-positive lymphoma patients admitted to a tertiary hospital between March 2017 and March 2025. Patients were divided into MDR infection and MDR colonization groups based on the occurrence of MDR infection. Demographic characteristics, lymphoma subtypes, lesion sites, laboratory parameters, and treatment-related factors were collected. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors, and a Nomogram predictive model was constructed.

Among 70 MDR-positive patients, 48 (68.6%) developed MDR infection and 22 (31.4%) remained as colonization. Multivariate analysis revealed that T/NK-cell lymphoma (OR = 3.82, 95% CI 1.46 9.98, P = 0.006), nasopharyngeal/nasal cavity involvement (OR = 2.94, 95% CI 1.23 7.04, P = 0.015), recent antibiotic use (OR = 2.67, 95% CI 1.15 6.21, P = 0.022), and albumin < 35 g/L (OR = 2.31, 95% CI 1.08 4.93, P = 0.031) were independent risk factors. The Nomogram model based on these factors demonstrated good discrimination (C-index = 0.812) and calibration.

T/NK-cell origin, nasopharyngeal involvement, recent antibiotic exposure, and hypoalbuminemia are independent risk factors for progression from MDR colonization to infection in lymphoma patients. The Nomogram model can effectively identify high-risk patients and provide evidence for clinical prevention and control strategies.