Systemic Immune-Inflammation-Based Biomarker and Fragility Fractures in People Living With HIV: A 10-Year Follow-Up Cohort Study in China

IF 6.8 3区 医学 Q1 VIROLOGY
Bo Liu, Qiang Zhang
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引用次数: 0

Abstract

Fragility fractures are a significant concern among people living with HIV(PLWH) due to the combined effects of chronic inflammation, immune dysregulation, and antiretroviral therapy. Traditional biomarkers have limited predictive value for fragility fractures in this population. This study aims to evaluate the systemic immune inflammation-based scores as novel biomarkers for predicting fragility fractures in PLWH in China. We conducted a cohort study of PLWH in the orthopedic department of Beijing Ditan Hospital from January 2011 to September 2023. We monitored fragility fractures and collected data on demographics, clinical characteristics, and laboratory parameters. Multivariate Cox and logistic regression models were used to assess the predictive value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) for fragility fractures. Restricted cubic splines (RCS) were employed to explore potential nonlinear relationships, and subgroup analyses were conducted to examine the stability of these associations. During a median follow-up of 5.5 years, our study included 1148 PLWH patients, and 204 patients (17.8%) experienced fragility fractures. After adjusting for all covariates, SII and SIRI were identified as independent risk factors for fragility fractures in PLWH, whereas NLR, PLR, and MLR were not. Patients with higher levels of SII and SIRI had a significantly increased risk of fragility fractures compared to those with lower levels (HR: 1.96, 95% CI: 1.24–3.10, p = 0.004; HR: 1.83, 95% CI: 1.16–2.88, p = 0.009). RCS analysis indicated a stable linear relationship between SIRI and fragility fractures. Furthermore, KM curves demonstrated that patients with higher SII and SIRI scores had a higher likelihood of experiencing fragility fractures. Our research shows that SII and SIRI are promising biomarkers for predicting fragility fractures in PLWH. Clinicians should consider incorporating SIRI into clinical practice to improve fracture risk stratification and guide preventive strategies for this vulnerable population.

基于全身免疫炎症的生物标志物与艾滋病病毒感染者的脆性骨折:中国 10 年随访队列研究》。
由于慢性炎症、免疫调节失调和抗逆转录病毒疗法的综合影响,脆性骨折是艾滋病病毒感染者(PLWH)的一个重大问题。传统的生物标志物对该人群脆性骨折的预测价值有限。本研究旨在评估以全身免疫炎症为基础的评分,作为预测中国 PLWH 中脆性骨折的新型生物标志物。我们在 2011 年 1 月至 2023 年 9 月期间在北京地坛医院骨科对 PLWH 进行了一项队列研究。我们对脆性骨折进行了监测,并收集了有关人口统计学、临床特征和实验室参数的数据。我们使用多变量 Cox 和逻辑回归模型来评估中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、单核细胞与淋巴细胞比值(MLR)、全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)对脆性骨折的预测价值。研究人员采用了限制性立方样条曲线(RCS)来探索潜在的非线性关系,并进行了亚组分析来检验这些关联的稳定性。在中位随访 5.5 年期间,我们的研究共纳入了 1148 名 PLWH 患者,其中 204 名患者(17.8%)发生了脆性骨折。在对所有协变量进行调整后,SII 和 SIRI 被确定为 PLWH 中脆性骨折的独立风险因素,而 NLR、PLR 和 MLR 则不是。与SII和SIRI水平较低的患者相比,SII和SIRI水平较高的患者发生脆性骨折的风险明显增加(HR:1.96,95% CI:1.24-3.10,p = 0.004;HR:1.83,95% CI:1.16-2.88,p = 0.009)。RCS分析表明,SIRI与脆性骨折之间存在稳定的线性关系。此外,KM 曲线显示,SII 和 SIRI 分数越高的患者发生脆性骨折的可能性越大。我们的研究表明,SII 和 SIRI 是预测 PLWH 患者脆性骨折的理想生物标志物。临床医生应考虑将 SIRI 纳入临床实践,以改善骨折风险分层,并为这一脆弱人群的预防策略提供指导。
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来源期刊
Journal of Medical Virology
Journal of Medical Virology 医学-病毒学
CiteScore
23.20
自引率
2.40%
发文量
777
审稿时长
1 months
期刊介绍: The Journal of Medical Virology focuses on publishing original scientific papers on both basic and applied research related to viruses that affect humans. The journal publishes reports covering a wide range of topics, including the characterization, diagnosis, epidemiology, immunology, and pathogenesis of human virus infections. It also includes studies on virus morphology, genetics, replication, and interactions with host cells. The intended readership of the journal includes virologists, microbiologists, immunologists, infectious disease specialists, diagnostic laboratory technologists, epidemiologists, hematologists, and cell biologists. The Journal of Medical Virology is indexed and abstracted in various databases, including Abstracts in Anthropology (Sage), CABI, AgBiotech News & Information, National Agricultural Library, Biological Abstracts, Embase, Global Health, Web of Science, Veterinary Bulletin, and others.
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