Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Laboratory Medicine Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.
Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy.
Mech Ageing Dev. 2023 Dec;216:111876. doi: 10.1016/j.mad.2023.111876. Epub 2023 Oct 4.
Elevation of cardiac damage biomarkers is associated with adverse clinical outcomes and increased mortality in COVID-19 patients. This study assessed the association of admission serum levels of sST2 and H-FABP with in-hospital mortality in 191 geriatric patients (median age 86 yrs., IQR 82-91 yrs.) with COVID-19 and available measures of hs-cTnT and NT-proBNP at admission. Cox proportional hazards models were utilized to predict in-hospital mortality, considering clinical/biochemical confounders as covariates. A composite cardiac score was calculated to improve predictive accuracy. Patients deceased during their hospital stay (26%) exhibited higher levels of all biomarkers, which demonstrated good discrimination for in-hospital mortality. Addition of sST2 and H-FABP significantly improved the discriminatory power of hs-cTnT and NT-proBNP. The composite cardiac score (AUC=0.866) further enhanced the predictive accuracy. Crude and adjusted Cox regressions models revealed that both sST2 and H-FABP were independently associated with in-hospital mortality (HR for sST2 ≥129 ng/mL, 4.32 [1.48-12.59]; HR for H-FABP ≥18 ng/mL, 7.70 [2.12-28.01]). The composite cardiac score also independently correlated with in-hospital mortality (HR for 1-unit increase, 1.47 [1.14-1.90]). In older patients with COVID-19, sST2 and H-FABP demonstrated prognostic value, improving the predictive accuracy of the routinely assessed biomarkers hs-cTnT and NT-proBNP.
心脏损伤生物标志物的升高与 COVID-19 患者的不良临床结局和死亡率增加相关。本研究评估了 191 例老年 COVID-19 患者(中位年龄 86 岁,IQR 82-91 岁)入院时血清 sST2 和 H-FABP 水平与院内死亡率的关系,这些患者入院时可获得 hs-cTnT 和 NT-proBNP 的测量值。Cox 比例风险模型用于预测院内死亡率,将临床/生化混杂因素作为协变量。计算了复合心脏评分以提高预测准确性。在住院期间死亡的患者(26%)表现出所有生物标志物水平更高,这些标志物对院内死亡率具有良好的区分能力。sST2 和 H-FABP 的加入显著提高了 hs-cTnT 和 NT-proBNP 的区分能力。复合心脏评分(AUC=0.866)进一步提高了预测准确性。未调整和调整后的 Cox 回归模型表明,sST2 和 H-FABP 均与院内死亡率独立相关(sST2≥129ng/mL 的 HR,4.32[1.48-12.59];H-FABP≥18ng/mL 的 HR,7.70[2.12-28.01])。复合心脏评分也与院内死亡率独立相关(每增加 1 个单位的 HR,1.47[1.14-1.90])。在患有 COVID-19 的老年患者中,sST2 和 H-FABP 显示出预后价值,提高了常规评估的生物标志物 hs-cTnT 和 NT-proBNP 的预测准确性。