Zou Wailong, Zhang Jia, Li Yulin, Cao Yuwei, Li Jiaxin, Zhang Zhe, Zhang Xin, Song Chuan, Yang Rui, Yan Yaxin, Wang Yumin, Zhang Xinjun, Xu Zhe, Chen Jichao
Department of Pulmonary and Critical Care Medicine, Aerospace Center Hospital, Beijing, 100049, China.
Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, China.
BMC Pulm Med. 2025 Mar 15;25(1):122. doi: 10.1186/s12890-025-03524-0.
Patients with non-Hodgkin lymphoma (NHL) face heightened mortality and accelerated disease progression when persistently infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This critical situation underscores the urgent need to identify risk factors and establish early intervention strategies tailored to this vulnerable population. The primary aim of this study was to investigate the risk factors associated with persistent SARS-CoV-2 infection in NHL patients during the COVID-19 pandemic.
A retrospective cohort study was conducted using data from January 2020 to June 2024, obtained from the Aerospace Center Hospital's database, electronic health records, and laboratory archives. Inclusion criteria comprised patients with confirmed NHL and SARS-CoV-2 infection, with persistence defined as positive viral test results beyond 14 days after initial diagnosis. Patients with incomplete medical records or loss of follow-up were excluded. Predictive models were developed and refined using logistic regression and random forest algorithms. The models incorporated data on demographics, comorbidities, laboratory findings, and imaging results. Model performance was evaluated using accuracy, precision, and the area under the receiver operating characteristic curve (AUC-ROC). Validation was conducted on an independent dataset to ensure generalizability, and the best-performing model guided the development of a prediction tool for early risk assessment and intervention.
Key risk factors for persistent SARS-CoV-2 infection in NHL patients included advanced age, hypertension, diabetes, immunosuppressed status, low lymphocyte count, elevated C-reactive protein, high body mass index, anemia, reduced CD4 + cell count, and the presence of lung lesions. The random forest model demonstrated superior predictive performance, achieving an AUC of 0.93. The study further highlighted that prompt antiviral therapy, adjustments to immunosuppressive regimens, and enhanced monitoring significantly reduced infection persistence.
This study identifies critical risk factors for persistent SARS-CoV-2 infection in NHL patients and underscores the importance of early intervention strategies. These findings may guide clinical decision-making to improve outcomes in this high-risk population.
非霍奇金淋巴瘤(NHL)患者若持续感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2),则面临更高的死亡率和更快的疾病进展。这一危急情况凸显了识别风险因素并制定针对这一脆弱人群的早期干预策略的迫切需求。本研究的主要目的是调查2019冠状病毒病(COVID-19)大流行期间NHL患者持续感染SARS-CoV-2的相关风险因素。
采用回顾性队列研究,数据来源于2020年1月至2024年6月,取自航天中心医院的数据库、电子健康记录和实验室档案。纳入标准包括确诊为NHL和SARS-CoV-2感染的患者,持续性定义为初始诊断14天后病毒检测结果仍为阳性。排除病历不完整或失访的患者。使用逻辑回归和随机森林算法开发并完善预测模型。模型纳入了人口统计学、合并症、实验室检查结果和影像学结果的数据。使用准确性、精确性和受试者操作特征曲线下面积(AUC-ROC)评估模型性能。在独立数据集上进行验证以确保可推广性,表现最佳的模型指导开发用于早期风险评估和干预的预测工具。
NHL患者持续感染SARS-CoV-2的关键风险因素包括高龄、高血压、糖尿病、免疫抑制状态、淋巴细胞计数低、C反应蛋白升高、体重指数高、贫血、CD4 +细胞计数降低以及肺部病变。随机森林模型显示出卓越的预测性能,AUC为0.93。该研究进一步强调,及时的抗病毒治疗、调整免疫抑制方案以及加强监测可显著降低感染持续性。
本研究确定了NHL患者持续感染SARS-CoV-2的关键风险因素,并强调了早期干预策略的重要性。这些发现可能指导临床决策,以改善这一高危人群的预后。