Hu Shengling, Guo Jinqiang, Chen Zhe, Gong Fengyun, Yu Qi
Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, People's Republic of China.
Infect Drug Resist. 2024 Jul 30;17:3253-3263. doi: 10.2147/IDR.S457146. eCollection 2024.
Multidrug- and rifampicin-resistant tuberculosis (MDR/RR-TB) with high mortality remains a public health crisis and health security threat. This study aimed to explore the predictive value of nutritional indices for all-cause mortality (ACM) in MDR/RR-TB patients.
We retrospectively recruited MDR/RR-TB patients between January 2015 and December 2021, randomly assigning them to training and validation cohorts. Patients were divided into high nutritional risk groups (HNRGs) and low nutritional risk groups (LNRGs) based on the optimal cut-off value obtained from receiver operating characteristic (ROC) analyses of the hemoglobin-albumin-lymphocyte-platelet (HALP) score, prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score. In the training cohort, Kaplan-Meier survival curves and Log rank tests were used to compare overall survival (OS) between the groups. Cox risk proportion regression analyses were used to explore the risk factors of ACM in patients with MDR/RR-TB. The predictive performance of ACM was assessed using area under the curve (AUC), sensitivity and specificity of ROC analyses.
A total of 524 MDR/RR-TB patients, with 255 in the training cohort and 269 in the validation cohort, were included. Survival analyses in the training cohort revealed significantly lower OS in the HNRGs compared to the LNRGs. After adjusting for covariates, multivariate analysis identified low HALP score, low PNI and high CONUT score were independent risk factors for ACM in MDR/RR-TB patients. ROC analyses demonstrated good predictive performance for ACM with AUCs of 0.765, 0.783, 0.807, and 0.811 for HALP score, PNI, CONUT score, and their combination, respectively. Similar results were observed in the validation set.
HALP score, PNI, and CONUT scores could effectively predict ACM in patients with MDR/RR-TB. Hence, routine screening for malnutrition should be given more attention in clinical practice to identify MDR/RR-TB patients at higher risk of mortality and provide them with nutritional support to reduce mortality.
具有高死亡率的耐多药和利福平耐药结核病(MDR/RR-TB)仍然是一场公共卫生危机和健康安全威胁。本研究旨在探讨营养指标对MDR/RR-TB患者全因死亡率(ACM)的预测价值。
我们回顾性招募了2015年1月至2021年12月期间的MDR/RR-TB患者,将他们随机分配到训练队列和验证队列。根据血红蛋白-白蛋白-淋巴细胞-血小板(HALP)评分、预后营养指数(PNI)和控制营养状况(CONUT)评分的受试者工作特征(ROC)分析得出的最佳临界值,将患者分为高营养风险组(HNRGs)和低营养风险组(LNRGs)。在训练队列中,采用Kaplan-Meier生存曲线和Log rank检验比较两组之间的总生存期(OS)。采用Cox风险比例回归分析探讨MDR/RR-TB患者ACM的危险因素。使用曲线下面积(AUC)、ROC分析的敏感性和特异性评估ACM的预测性能。
共纳入524例MDR/RR-TB患者,其中训练队列255例,验证队列269例。训练队列中的生存分析显示,HNRGs的OS明显低于LNRGs。在调整协变量后,多变量分析确定低HALP评分、低PNI和高CONUT评分是MDR/RR-TB患者ACM的独立危险因素。ROC分析显示,HALP评分、PNI、CONUT评分及其组合对ACM具有良好的预测性能,AUC分别为0.765、0.783、0.807和0.811。在验证集中观察到类似结果。
HALP评分、PNI和CONUT评分可以有效预测MDR/RR-TB患者的ACM。因此,临床实践中应更加重视营养不良的常规筛查,以识别死亡风险较高的MDR/RR-TB患者,并为他们提供营养支持以降低死亡率。