Corneo Emily, Garbelotto Rafael, Prestes Gabriele, Girardi Carolina Saibro, Santos Lucas, Moreira Jose Claudio Fonseca, Gelain Daniel Pens, Westphal Glauco A, Kupek Emil, Walz Roger, Ritter Cristiane, Dal-Pizzol Felipe
Laboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Santa Catarina, Av. Universitária, Criciúma, 1105, Brazil.
Intensive Care Unit, Hospital São José, Criciúma, SC, Brazil.
Thromb J. 2023 Jul 28;21(1):80. doi: 10.1186/s12959-023-00524-0.
Because severe acute respiratory syndrome coronarivus 2 (SARS-CoV-2) leads to severe conditions and thrombus formation, evaluation of the coagulation markers is important in determining the prognosis and phenotyping of patients with COVID-19.
In a prospective study that included 213 COVID-19 patients admitted to the intensive care unit (ICU) the levels of antithrombin, C-reactive protein (CRP); factors XI, XII, XIII; prothrombin and D-dimer were measured. Spearman's correlation coefficient was used to assess the pairwise correlations between the biomarkers. Hierarchical and non-hierarchical cluster analysis was performed using the levels of biomarkers to identify patients´ phenotypes. Multivariate binary regression was used to determine the association of the patient´s outcome with clinical variables and biomarker levels.
The levels of factors XI and XIII were significantly higher in patients with less severe COVID-19, while factor XIII and antithrombin levels were significantly associated with mortality. These coagulation biomarkers were associated with the in-hospital survival of COVID-19 patients over and above the core clinical factors on admission. Hierarchical cluster analysis showed a cluster between factor XIII and antithrombin, and this hierarchical cluster was extended to CRP in the next step. Furthermore, a non-hierarchical K-means cluster analysis was performed, and two phenotypes were identified based on the CRP and antithrombin levels independently of clinical variables and were associated with mortality.
Coagulation biomarkers were associated with in-hospital survival of COVID-19 patients. Lower levels of factors XI, XII and XIII and prothrombin were associated with disease severity, while higher levels of both CRP and antithrombin clustered with worse prognosis. These results suggest the role of coagulation abnormalities in the development of COVID-19 and open the perspective of identifying subgroups of patients who would benefit more from interventions focused on regulating coagulation.
由于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)会导致严重病情和血栓形成,因此评估凝血标志物对于确定COVID-19患者的预后和表型具有重要意义。
在一项前瞻性研究中,纳入了213名入住重症监护病房(ICU)的COVID-19患者,检测了抗凝血酶、C反应蛋白(CRP)、因子XI、因子XII、因子XIII、凝血酶原和D-二聚体的水平。采用Spearman相关系数评估生物标志物之间的成对相关性。利用生物标志物水平进行层次聚类和非层次聚类分析,以识别患者的表型。采用多变量二元回归分析确定患者结局与临床变量及生物标志物水平之间的关联。
病情较轻的COVID-19患者中,因子XI和因子XIII水平显著较高,而因子XIII和抗凝血酶水平与死亡率显著相关。这些凝血生物标志物与COVID-19患者入院时的核心临床因素之外的院内生存率相关。层次聚类分析显示因子XIII和抗凝血酶之间存在一个聚类,下一步该层次聚类扩展到了CRP。此外,进行了非层次K均值聚类分析,基于CRP和抗凝血酶水平独立于临床变量确定了两种表型,且与死亡率相关。
凝血生物标志物与COVID-19患者的院内生存率相关。因子XI、因子XII、因子XIII和凝血酶原水平较低与疾病严重程度相关,而CRP和抗凝血酶水平较高均与预后较差相关。这些结果提示凝血异常在COVID-19发病过程中的作用,并为识别可能从专注于调节凝血的干预措施中获益更多的患者亚组开辟了前景。