Yating Ji, Qingyao Xie, Wei Wei, Zhen Huang, Xuhui Liu, Qi Ye, Yanping Liu, Xiaoyu Lu, Yixiao Lu, Renjie Hou, Qingping Zhang, Yanzi Xu, Jianhui Yuan, Shuihua Lu, Chongguang Yang
{"title":"血液炎症状态与结核病患者生存之间的关系:一项为期五年的队列研究。","authors":"Yating Ji, Qingyao Xie, Wei Wei, Zhen Huang, Xuhui Liu, Qi Ye, Yanping Liu, Xiaoyu Lu, Yixiao Lu, Renjie Hou, Qingping Zhang, Yanzi Xu, Jianhui Yuan, Shuihua Lu, Chongguang Yang","doi":"10.3389/fimmu.2025.1556857","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Blood inflammatory status is closely associated with tuberculosis (TB) progression. Emerging inflammatory indices from different leukocyte subtypes have become a prognostic hotspot for various diseases, yet their application in TB prognosis remains limited. This study aims to assess the impact of inflammatory status on TB patients' prognosis and its potential as a prognostic indicator to optimize prognostic assessment and therapeutic strategies.</p><p><strong>Methods: </strong>This study included 4027 TB patients admitted to a tuberculosis-designated hospital in Shenzhen from January 2017 to December 2022. Patients were classified into three inflammatory statuses (Q1-Q3) based on each index's level. We conducted Cox regression and restricted cubic splines (RCS) analyses to evaluate the association between inflammatory status and unfavorable outcome, subgroup analyses to understand heterogeneous associations among subpopulations, and receiver operating characteristic (ROC) analyses to evaluate the prognostic performance of inflammatory status on TB treatment outcomes.</p><p><strong>Results: </strong>During 48991.79 person-months of follow-up involving 4027 patients, 225 unfavorable outcomes occurred. Multivariable Cox regression indicated that the Q3 levels of CAR, CLR, dNLR, NLR, SII, and SIRI increased the risk of unfavorable outcome by 45%-99% (HR: 1.45-1.99, all <i>P</i><0.050), whereas ENR reduced the risk by 29% (HR: 0.71, <i>P</i>=0.040) compared to Q1. RCS curves revealed linear associations with unfavorable outcome that were positive for CAR, CLR, dNLR, SII, and SIRI, negative for ENR (all <i>P</i> for nonlinear>0.050), and nonlinear for MLR, NLR, and PNI (all <i>P</i> for nonlinear<0.050). Subgroup analyses identified heterogeneous associations across age, sex, BMI, comorbidities, and drug resistance (all <i>P</i> for interaction<0.050), with attenuated risk effects of CAR, CLR, dNLR, and SII in patients aged 30-60 years, male, BMI≥24.0 kg/m², smokers, retreatment cases, and those with tumor. ROC analysis demonstrated stable predictive performances of inflammatory status (AUC: 0.785-0.804 at 6-month, 0.781-0.793 at 9-month, and 0.762-0.773 at 12-month), and the combination of the inflammatory status significantly optimized the prognostic performance of the basic model (9-month AUC: 0.811 vs 0.780, <i>P</i>=0.024; 12-month AUC: 0.794 vs 0.758, <i>P</i>=0.013).</p><p><strong>Conclusion: </strong>Pretreatment blood inflammatory status effectively predicts the treatment outcome of TB patients. Our findings hold significant clinical value for TB patient management and warrant prospective evaluation in future studies.</p>","PeriodicalId":12622,"journal":{"name":"Frontiers in Immunology","volume":"16 ","pages":"1556857"},"PeriodicalIF":5.7000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968758/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association between blood inflammatory status and the survival of tuberculosis: a five-year cohort study.\",\"authors\":\"Yating Ji, Qingyao Xie, Wei Wei, Zhen Huang, Xuhui Liu, Qi Ye, Yanping Liu, Xiaoyu Lu, Yixiao Lu, Renjie Hou, Qingping Zhang, Yanzi Xu, Jianhui Yuan, Shuihua Lu, Chongguang Yang\",\"doi\":\"10.3389/fimmu.2025.1556857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Blood inflammatory status is closely associated with tuberculosis (TB) progression. 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We conducted Cox regression and restricted cubic splines (RCS) analyses to evaluate the association between inflammatory status and unfavorable outcome, subgroup analyses to understand heterogeneous associations among subpopulations, and receiver operating characteristic (ROC) analyses to evaluate the prognostic performance of inflammatory status on TB treatment outcomes.</p><p><strong>Results: </strong>During 48991.79 person-months of follow-up involving 4027 patients, 225 unfavorable outcomes occurred. Multivariable Cox regression indicated that the Q3 levels of CAR, CLR, dNLR, NLR, SII, and SIRI increased the risk of unfavorable outcome by 45%-99% (HR: 1.45-1.99, all <i>P</i><0.050), whereas ENR reduced the risk by 29% (HR: 0.71, <i>P</i>=0.040) compared to Q1. RCS curves revealed linear associations with unfavorable outcome that were positive for CAR, CLR, dNLR, SII, and SIRI, negative for ENR (all <i>P</i> for nonlinear>0.050), and nonlinear for MLR, NLR, and PNI (all <i>P</i> for nonlinear<0.050). Subgroup analyses identified heterogeneous associations across age, sex, BMI, comorbidities, and drug resistance (all <i>P</i> for interaction<0.050), with attenuated risk effects of CAR, CLR, dNLR, and SII in patients aged 30-60 years, male, BMI≥24.0 kg/m², smokers, retreatment cases, and those with tumor. ROC analysis demonstrated stable predictive performances of inflammatory status (AUC: 0.785-0.804 at 6-month, 0.781-0.793 at 9-month, and 0.762-0.773 at 12-month), and the combination of the inflammatory status significantly optimized the prognostic performance of the basic model (9-month AUC: 0.811 vs 0.780, <i>P</i>=0.024; 12-month AUC: 0.794 vs 0.758, <i>P</i>=0.013).</p><p><strong>Conclusion: </strong>Pretreatment blood inflammatory status effectively predicts the treatment outcome of TB patients. 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引用次数: 0
摘要
背景:血液炎症状态与结核病(TB)进展密切相关。来自不同白细胞亚型的新兴炎症指标已成为各种疾病的预后热点,但其在结核病预后中的应用仍然有限。本研究旨在评估炎症状态对结核病患者预后的影响及其作为预后指标的潜力,以优化预后评估和治疗策略。方法:本研究纳入2017年1月至2022年12月在深圳某结核病定点医院住院的4027例结核病患者。根据各指标水平将患者分为3种炎症状态(Q1-Q3)。我们进行了Cox回归和限制性三次样条(RCS)分析来评估炎症状态与不良结果之间的关联,亚组分析来了解亚人群之间的异质性关联,受试者工作特征(ROC)分析来评估炎症状态对结核病治疗结果的预后表现。结果:随访48991.79人月,共4027例患者,发生225例不良结局。多变量Cox回归显示,与Q1相比,Q3 CAR、CLR、dNLR、NLR、SII和SIRI的不良结局风险增加了45%-99% (HR: 1.45-1.99,所有PP=0.040)。RCS曲线显示,CAR、CLR、dNLR、SII和SIRI与不良预后呈线性相关,ENR呈负相关(非线性P值均为0.050),MLR、NLR和PNI呈非线性(非线性P值均为0.024;12个月AUC: 0.794 vs 0.758, P=0.013)。结论:治疗前血液炎症状态能有效预测结核病患者的治疗效果。我们的发现对结核病患者的管理具有重要的临床价值,值得在未来的研究中进行前瞻性评价。
Association between blood inflammatory status and the survival of tuberculosis: a five-year cohort study.
Background: Blood inflammatory status is closely associated with tuberculosis (TB) progression. Emerging inflammatory indices from different leukocyte subtypes have become a prognostic hotspot for various diseases, yet their application in TB prognosis remains limited. This study aims to assess the impact of inflammatory status on TB patients' prognosis and its potential as a prognostic indicator to optimize prognostic assessment and therapeutic strategies.
Methods: This study included 4027 TB patients admitted to a tuberculosis-designated hospital in Shenzhen from January 2017 to December 2022. Patients were classified into three inflammatory statuses (Q1-Q3) based on each index's level. We conducted Cox regression and restricted cubic splines (RCS) analyses to evaluate the association between inflammatory status and unfavorable outcome, subgroup analyses to understand heterogeneous associations among subpopulations, and receiver operating characteristic (ROC) analyses to evaluate the prognostic performance of inflammatory status on TB treatment outcomes.
Results: During 48991.79 person-months of follow-up involving 4027 patients, 225 unfavorable outcomes occurred. Multivariable Cox regression indicated that the Q3 levels of CAR, CLR, dNLR, NLR, SII, and SIRI increased the risk of unfavorable outcome by 45%-99% (HR: 1.45-1.99, all P<0.050), whereas ENR reduced the risk by 29% (HR: 0.71, P=0.040) compared to Q1. RCS curves revealed linear associations with unfavorable outcome that were positive for CAR, CLR, dNLR, SII, and SIRI, negative for ENR (all P for nonlinear>0.050), and nonlinear for MLR, NLR, and PNI (all P for nonlinear<0.050). Subgroup analyses identified heterogeneous associations across age, sex, BMI, comorbidities, and drug resistance (all P for interaction<0.050), with attenuated risk effects of CAR, CLR, dNLR, and SII in patients aged 30-60 years, male, BMI≥24.0 kg/m², smokers, retreatment cases, and those with tumor. ROC analysis demonstrated stable predictive performances of inflammatory status (AUC: 0.785-0.804 at 6-month, 0.781-0.793 at 9-month, and 0.762-0.773 at 12-month), and the combination of the inflammatory status significantly optimized the prognostic performance of the basic model (9-month AUC: 0.811 vs 0.780, P=0.024; 12-month AUC: 0.794 vs 0.758, P=0.013).
Conclusion: Pretreatment blood inflammatory status effectively predicts the treatment outcome of TB patients. Our findings hold significant clinical value for TB patient management and warrant prospective evaluation in future studies.
期刊介绍:
Frontiers in Immunology is a leading journal in its field, publishing rigorously peer-reviewed research across basic, translational and clinical immunology. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
Frontiers in Immunology is the official Journal of the International Union of Immunological Societies (IUIS). Encompassing the entire field of Immunology, this journal welcomes papers that investigate basic mechanisms of immune system development and function, with a particular emphasis given to the description of the clinical and immunological phenotype of human immune disorders, and on the definition of their molecular basis.