Zhang Meijuan, Jiao Zhanquan
Department of Cardiology, Tianjin Institute of Respiratory Diseases, Tianjin Haihe Hospital, Tianjin University, Tianjin, People's Republic of China.
Infect Drug Resist. 2023 Sep 21;16:6259-6267. doi: 10.2147/IDR.S426470. eCollection 2023.
Elevated levels of the inflammatory marker interleukin-6 (IL-6) and cardiac injury marker N-terminal pro-B-type natriuretic peptide (NT-proBNP) have been observed in patients with coronavirus disease 2019 (COVID-19). However, the relationship between IL-6 and NT-proBNP levels remains unclear. Therefore, we investigated the relationship between IL-6 and NT-proBNP levels in patients with COVID-19.
This was a cross-sectional study. Consecutive patients with COVID-19 were included herein. The independent and dependent target variables were the IL-6 and NT-proBNP levels, respectively, measured at baseline. Univariate and multivariate linear regression analyses and curve fitting were also performed.
The average age of the 121 selected participants was 49.8 ± 15.8 years old, and 48.8% (59/121) were male. The estimated β value between -transformed IL-6 and NT-proBNP was 0.28 (95% confidence interval [CI] 0.12-0.44, = 0.001) in univariate logistic regression analysis and 0.09 (95% CI -0.04-0.21, = 0.176) in the fully adjusted model. This relationship was nonlinear, with a point of 2.7, and the β values (and CIs) for the left (<2.7) and right (≥2.7) sides of the inflection point were -0.06 (95% CI -0.23-0.12, = 0.534) and 0.77 (95% CI 0.18-1.37, = 0.016) in the fully adjusted model, respectively.
Our results suggest a nonlinear association between IL-6 and NT-proBNP levels. Higher IL-6 levels are associated with NT-proBNP in patients with COVID-19.
在2019冠状病毒病(COVID-19)患者中观察到炎症标志物白细胞介素-6(IL-6)和心脏损伤标志物N端前脑钠肽(NT-proBNP)水平升高。然而,IL-6与NT-proBNP水平之间的关系仍不清楚。因此,我们研究了COVID-19患者中IL-6与NT-proBNP水平之间的关系。
这是一项横断面研究。本研究纳入了连续的COVID-19患者。独立目标变量和因变量分别是基线时测量的IL-6和NT-proBNP水平。还进行了单变量和多变量线性回归分析以及曲线拟合。
121名入选参与者的平均年龄为49.8±15.8岁,48.8%(59/121)为男性。在单变量逻辑回归分析中,-转化后的IL-6与NT-proBNP之间的估计β值为0.28(95%置信区间[CI]0.12 - 0.