Xu Xiaoqun, Zhu Xinyu, Wang Hanxin, Liu Xiao, Yang Chao, Liu Libin, Chen Tielong, Cai Long, Zhu Houyong
Centre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.
Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Infect Drug Resist. 2024 Mar 7;17:885-897. doi: 10.2147/IDR.S450318. eCollection 2024.
The purpose of this study was to investigate the role of neutrophil-lymphocyte ratio (NLR), C-reactive protein-albumin ratio (CAR), and platelet-lymphocyte ratio (PLR) in the prognosis of patients with coronary artery disease (CAD) complicated with coronavirus disease 2019 (COVID-19).
This study included 265 patients. A receiver operating characteristic (ROC) curve analysis was performed to preliminarily evaluate the predictive ability of NLR, CAR, and PLR for all-cause death. The primary outcome was all-cause death during hospitalization, while the secondary outcomes were cardiovascular death and respiratory failure death. The Cox proportional hazard model with adjusted covariates was used to analyze the cumulative risk of outcomes. We also conducted subgroup analyses based on the acute and chronic characteristics of CAD. Propensity score matching (PSM) was used to further evaluate the robustness of the primary outcome.
The ROC curve analysis results showed that the area under curve (AUC) values were 0.686 (95% CI 0.592-0.781, P<0.001) for NLR, 0.749 (95% CI 0.667-0.832, P<0.001) for CAR, and 0.571 (95% CI 0.455-0.687, P=0.232) for PLR. The Cox proportional hazard model showed that trends in NLR and PLR did not affect the risk of all-cause death (P=0.096 and P=0.544 for trend, respectively), but a higher CAR level corresponded to a higher risk of all-cause death (P<0.001 for trend). Similarly, The trends of NLR and PLR did not affect the risk of cardiovascular death and respiratory failure death, while a higher CAR level corresponded to a higher risk of cardiovascular death and respiratory failure death. The results of subgroup analyses and PSM were consistent with the total cohort.
In patients with CAD complicated with COVID-19, a higher CAR level corresponded to a higher risk of all-cause death, cardiovascular death, and respiratory failure death, while trends in NLR and PLR did not.
本研究旨在探讨中性粒细胞与淋巴细胞比值(NLR)、C反应蛋白与白蛋白比值(CAR)及血小板与淋巴细胞比值(PLR)在冠状动脉疾病(CAD)合并2019冠状病毒病(COVID-19)患者预后中的作用。
本研究纳入265例患者。进行受试者工作特征(ROC)曲线分析以初步评估NLR、CAR和PLR对全因死亡的预测能力。主要结局为住院期间全因死亡,次要结局为心血管死亡和呼吸衰竭死亡。采用调整协变量的Cox比例风险模型分析结局的累积风险。我们还根据CAD的急性和慢性特征进行了亚组分析。倾向评分匹配(PSM)用于进一步评估主要结局的稳健性。
ROC曲线分析结果显示,NLR的曲线下面积(AUC)值为0.686(95%CI 0.592-0.781,P<0.001),CAR为0.749(95%CI 0.667-0.832,P<0.001),PLR为0.571(95%CI 0.455-0.687,P=0.232)。Cox比例风险模型显示,NLR和PLR的趋势不影响全因死亡风险(趋势P值分别为0.096和0.544),但较高的CAR水平对应较高的全因死亡风险(趋势P<0.001)。同样,NLR和PLR的趋势不影响心血管死亡和呼吸衰竭死亡风险,而较高的CAR水平对应较高的心血管死亡和呼吸衰竭死亡风险。亚组分析和PSM结果与总队列一致。
在CAD合并COVID-19患者中,较高的CAR水平对应较高的全因死亡、心血管死亡和呼吸衰竭死亡风险,而NLR和PLR的趋势则不然。