原发性闭角型青光眼患者全身炎症指数与视野缺损进展的关系:3P 医疗方法的潜在生物标记物。

IF 6.5 2区 医学 Q1 Medicine Epma Journal Pub Date : 2021-11-02 eCollection Date: 2021-12-01 DOI:10.1007/s13167-021-00260-3
Shengjie Li, Yichao Qiu, Jian Yu, Mingxi Shao, Yingzhu Li, Wenjun Cao, Xinghuai Sun
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引用次数: 0

摘要

相关性:越来越多的证据表明,青光眼患者视网膜神经节细胞层和视神经头的副炎症功能失调。目前,循环血液中血小板与淋巴细胞比率(PLR)、中性粒细胞与淋巴细胞比率(NLR)和淋巴细胞与单核细胞比率(LMR)被认为是全身炎症的新指标。生物标志物可早期识别视野(VF)缺损进展的患者,并及时实施替代疗法:本研究旨在探讨较高的炎症指数(PLR、NLR 和 LMR)是否与原发性闭角型青光眼(PACG)患者的视野缺损进展相关,以进行预测性诊断、针对性预防和个性化医疗服务:这项前瞻性队列研究对 277 名 PACG 患者进行了至少 24 个月的随访,每 6 个月进行一次临床检查和 VF 测试。使用 Sysmex XN-A1 自动炎症细胞定量系统测量炎症细胞定量,包括血小板、中性粒细胞、淋巴细胞和单核细胞。根据 PACG 患者的中性粒细胞、淋巴细胞、单核细胞和血小板基线计数,确定了 PLR、NLR 和 LMR 三种全身炎症指数。采用逻辑回归、Cox 比例危险度回归和 Kaplan-Meier 曲线分析了 PACG 的风险因素:结果显示,111 例(40.07%)患者出现 VF 减低进展。进展组的 PLR 明显高于非进展组(P = 0.046)。较高的 PLR(OR 1.05,95% CI 1.01-1.08,P = 0.004)是 PACG 进展的风险因素。在多变量分析中,PLR 可独立预测 VF 消失的进展(HR 1.01,95% CI 1.00-1.01,P = 0.04)。Kaplan-Meier 曲线分析表明,PLR 越高,VF 下降率显著越高(66.91% 对 52.90%,P = 0.03)。在男性和女性亚组中观察到了相似的结果:我们的研究结果表明,PLR 高与 PACG 患者 VF 减低进展的风险更大之间存在显著关联。从预测、预防和个性化医疗的角度来看,PLR 可作为一种新型预测/诊断工具,用于评估易感人群的 VF 减低进展情况,也可用于个体筛查:在线版本包含补充材料,可在 10.1007/s13167-021-00260-3上查阅。
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Association of systemic inflammation indices with visual field loss progression in patients with primary angle-closure glaucoma: potential biomarkers for 3P medical approaches.

Relevance: Accumulating evidence suggests a dysfunction of the para-inflammation in the retinal ganglion cell layer and the optic nerve head in patients with glaucoma. Currently, circulating blood platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) are regarded as novel indicators of systemic inflammation. Biomarkers allow early identification of patients with visual field (VF) loss progression and timely implementation of replacement therapies.

Objective: This study aimed to investigate whether higher inflammatory indices (PLR, NLR, and LMR) were associated with VF loss progression in patients with primary angle-closure glaucoma (PACG) for the predictive diagnostics, targeted prevention, and personalization of medical services.

Methods: This prospective cohort study followed up 277 patients with PACG for at least 24 months, with clinical examination and VF testing every 6 months. Inflammatory cell quantification, including platelets, neutrophils, lymphocytes, and monocytes, was measured using the Sysmex XN-A1 automated inflammatory cells quantification system. Three systemic inflammatory indices, PLR, NLR, and LMR, were determined on the basis of baseline neutrophil, lymphocyte, monocyte, and platelet counts in patients with PACG. The risk factors for PACG were analyzed using logistic regression, Cox proportional hazards regression, and the Kaplan-Meier curve.

Results: Our results revealed that 111 (40.07%) patients showed VF loss progression. The PLR was significantly higher (P = 0.046) in the progression group than in the non-progression group. A higher PLR (OR 1.05, 95% CI 1.01-1.08, P = 0.004) was a risk factor for PACG progression. In multivariate analyses, PLR independently predicted VF loss progression (HR 1.01, 95% CI 1.00-1.01, P = 0.04). Kaplan-Meier curve analysis showed that higher PLR indicated significantly higher rates of VF loss progression (66.91% vs. 52.90%, P = 0.03). Comparable results were observed in the male and female subgroups.

Conclusion: Our findings revealed the significant association between a high PLR and a greater risk of VF loss progression in patients with PACG. PLR may be highly recommended as a novel predictive/diagnostic tool for the assessment of VF loss progression from the perspectives of predictive, preventive, and personalized medicine in vulnerable populations and for individual screening.

Supplementary information: The online version contains supplementary material available at 10.1007/s13167-021-00260-3.

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来源期刊
Epma Journal
Epma Journal Medicine-Biochemistry (medical)
CiteScore
11.30
自引率
23.10%
发文量
0
期刊介绍: PMA Journal is a journal of predictive, preventive and personalized medicine (PPPM). The journal provides expert viewpoints and research on medical innovations and advanced healthcare using predictive diagnostics, targeted preventive measures and personalized patient treatments. The journal is indexed by PubMed, Embase and Scopus.
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