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淋巴细胞与 C 反应蛋白比值作为预测血液透析患者预后的新型炎症标志物:一项多中心观察性研究。

Lymphocyte-to-C reactive protein ratio as novel inflammatory marker for predicting outcomes in hemodialysis patients: A multicenter observational study.

机构信息

Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

出版信息

Front Immunol. 2023 Mar 2;14:1101222. doi: 10.3389/fimmu.2023.1101222. eCollection 2023.

Abstract

BACKGROUND

Patients undergoing hemodialysis experience inflammation, which is associated with a higher risk of mortality. The lymphocyte-to-C reactive protein ratio (LCR) is a novel marker of inflammation that has been shown to predict mortality in patients with malignant cancer. However, the utility of LCR has not been evaluated in patients undergoing hemodialysis.

METHODS

We performed a multi-center cohort study of 3,856 patients who underwent hemodialysis as part of the Beijing Hemodialysis Quality Control and Improvement Project between 1 January 2012 and December 2019. The relationship between LCR and all-cause mortality was assessed using a restricted cubic spline model and a multivariate Cox regression model. An outcome-oriented method was used to determine the most appropriate cut-off value of LCR. Subgroup analysis was also performed to evaluate the relationships of LCR with key parameters.

RESULTS

Of the 3,856 enrolled patients, 1,581 (41%) were female, and their median age was 62 (53, 73) years. Over a median follow-up period of 75.1 months, 1,129 deaths occurred. The mortality rate for the patients after 60 months was 38.1% (95% confidence interval (CI) 36%-40.1%), resulting in a rate of 93.41 events per 1,000 patient-years. LCR showed an L-shaped dose-response relationship with all-cause mortality. The optimal cut-off point for LCR as a predictor of mortality in hemodialysis patients was 1513.1. An LCR of ≥1513.1 could independently predict mortality (hazard ratio 0.75, 95% CI 0.66-0.85, P<0.001).

CONCLUSIONS

Baseline LCR was found to be an independent prognostic biomarker in patients undergoing hemodialysis. Implying that it should be a useful means of improving patient prognosis and judging the timing of appropriate interventions in routine clinical practice.

摘要

背景

接受血液透析的患者会出现炎症,这与更高的死亡率相关。淋巴细胞与 C 反应蛋白比值(LCR)是一种新的炎症标志物,已被证明可预测恶性肿瘤患者的死亡率。然而,LCR 在接受血液透析的患者中的应用尚未得到评估。

方法

我们对 2012 年 1 月至 2019 年 12 月期间参加北京血液透析质量控制与改进项目的 3856 名接受血液透析的患者进行了一项多中心队列研究。使用限制性立方样条模型和多变量 Cox 回归模型评估 LCR 与全因死亡率之间的关系。采用面向结果的方法确定 LCR 的最佳截断值。还进行了亚组分析,以评估 LCR 与关键参数之间的关系。

结果

在纳入的 3856 名患者中,1581 名(41%)为女性,中位年龄为 62(53,73)岁。在中位随访 75.1 个月期间,发生了 1129 例死亡。60 个月后患者的死亡率为 38.1%(95%置信区间[CI]:36%-40.1%),导致每 1000 患者-年发生 93.41 例事件。LCR 与全因死亡率呈 L 形剂量反应关系。作为血液透析患者死亡率预测指标的 LCR 的最佳截断点为 1513.1。LCR≥1513.1 可独立预测死亡率(风险比 0.75,95%CI:0.66-0.85,P<0.001)。

结论

基线 LCR 被发现是接受血液透析的患者的独立预后生物标志物。这表明它应该是一种有用的手段,可以改善患者的预后,并在常规临床实践中判断适当干预的时机。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22a6/10017876/099a8560dfe7/fimmu-14-1101222-g001.jpg

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