Data_Sheet_1_Cardiovascular Biomarkers for Prediction of in-hospital and 1-Year Post-discharge Mortality in Patients With COVID-19 Pneumonia.docx
收藏frontiersin.figshare.com2023-06-17 更新2025-03-25 收录
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AimsWhile COVID-19 affects the cardiovascular system, the potential clinical impact of cardiovascular biomarkers on predicting outcomes in COVID-19 patients is still unknown. Therefore, to investigate this issue we analyzed the prognostic potential of cardiac biomarkers on in-hospital and long-term post-discharge mortality of patients with COVID-19 pneumonia.MethodsSerum soluble ST2, VCAM-1, and hs-TnI were evaluated upon admission in 280 consecutive patients hospitalized with COVID-19-associated pneumonia in a single, tertiary care center. Patient clinical and laboratory characteristics and the concentration of biomarkers were correlated with in-hospital [Hospital stay: 11 days (10; 14)] and post-discharge all-cause mortality at 1 year follow-up [FU: 354 days (342; 361)].Results11 patients died while hospitalized for COVID-19 (3.9%), and 11 patients died during the 1-year post-discharge follow-up period (n = 11, 4.1%). Using multivariate analysis, VCAM-1 was shown to predict mortality during the hospital period (HR 1.081, CI 95% 1.035;1.129, p = 0.017), but not ST2 or hs-TnI. In contrast, during one-year FU post hospital discharge, ST2 (HR 1.006, 95% CI 1.002;1.009, p < 0.001) and hs-TnI (HR 1.362, 95% CI 1.050;1.766, p = 0.024) predicted mortality, although not VCAM-1.ConclusionIn patients hospitalized with Covid-19 pneumonia, elevated levels of VCAM-1 at admission were associated with in-hospital mortality, while ST2 and hs-TnI might predict post-discharge mortality in long term follow-up.
本研究旨在探讨心血管系统受COVID-19影响的同时,心血管生物标志物对预测COVID-19患者预后可能产生的临床影响尚不明确。为此,本研究分析了心脏生物标志物对COVID-19肺炎患者在院期间及长期出院后死亡率的预测潜能。研究方法:在一家单一的三级医疗中心,对280名连续住院的COVID-19相关肺炎患者进行了入院时的血清可溶性ST2、VCAM-1和hs-TnI水平评估。将患者的临床和实验室特征与入院期间的住院时间[住院时间:11天(10;14)]和1年随访期内的全因死亡率[随访:354天(342;361)]进行相关性分析。研究结果:11名患者在住院期间死于COVID-19(3.9%),11名患者在1年的出院后随访期间死亡(n = 11,4.1%)。多因素分析表明,VCAM-1可预测住院期间的死亡率(HR 1.081,95% CI 1.035;1.129,p = 0.017),但ST2或hs-TnI则不然。相反,在出院后一年的随访期间,ST2(HR 1.006,95% CI 1.002;1.009,p < 0.001)和hs-TnI(HR 1.362,95% CI 1.050;1.766,p = 0.024)可预测死亡率,尽管VCAM-1则不然。结论:在住院的COVID-19肺炎患者中,入院时VCAM-1水平升高与住院期间死亡率相关,而ST2和hs-TnI可能预测长期随访期间的出院后死亡率。
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