Value of increased soluble suppressor tumorigenicity biomarker 2 (sST2) on admission as an indicator of severity in patients with COVID-19

被引:0
|
作者
Arnaldos-Carrillo, Maria [1 ,2 ,3 ]
Noguera-Velasco, Jose Antonio [1 ,2 ,3 ]
Martinez-Ardil, Isabel M. [7 ]
Riquelme-Perez, Alejandro [2 ,6 ]
Cebreiros-Lopez, Iria [1 ,2 ,3 ]
Hernandez-Vicente, Alvaro [2 ]
Ros-Lucas, Jose Antonio [8 ,9 ]
Khan, Amjad [11 ]
Bayes-Genis, Antoni [6 ,10 ]
Pascual-Figal, Domingo [2 ,3 ,4 ,5 ,6 ]
机构
[1] Hosp Clin Univ Virgen de la Arrixaca, Clin Lab Serv, Murcia, Spain
[2] Univ Murcia, Murcia, Spain
[3] IMIB Pascual Parrilla, Murcia, Spain
[4] Hosp Clin Univ Virgen de la Arrixaca, Cardiol Serv, Murcia, Spain
[5] Ctr Nacl Invest Cardiovasc CNIC, Madrid, Spain
[6] CIBER Cardiovasc, Madrid, Spain
[7] Serv Murciano Salud, Family & Community Med, Murcia, Spain
[8] Hosp Clin Univ Virgen de la Arrixaca, Pneumol Serv, Murcia, Spain
[9] Univ Catolica Murcia UCAM, Murcia, Spain
[10] Hosp Universitari Germans Trias & Pujol, Heart Inst, Barcelona, Spain
[11] Univ Oxford, John Radcliffe Hosp, Radcliffe Dept Med, Nuffield Div Clin Lab Sci NDCLS, Oxford, England
来源
MEDICINA CLINICA | 2023年 / 161卷 / 05期
关键词
COVID-19; pneumonia; sST2; Risk stratification; ST2;
D O I
10.1016/j.medcli.2023.04.005
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. Methods: sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. Results: 495 patients were studied (53% male, age: 57.6 +/- 17.6). At admission, median sST2 concentrations was 48.5ng/mL [IQR, 30.6-83.1ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n=45, 9.1%) (45.6 [28.0, 75.9]ng/mL vs. 144 [82.6, 319] ng/mL, p<0.001) and those admitted to ICU (n=46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262]ng/mL, p<0.001). sST2 levels>210ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3-97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. Conclusions: sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies.
引用
收藏
页码:185 / 191
页数:7
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