Smadja David M, Massonnaud Clément R, Philippe Aurélien, Rosa Mickael, Luneau Sophie, Rauch Antoine, Peiffer-Smadja Nathan, Gagneux-Brunon Amandine, Poissy Julien, Gruest Maxime, Ung Alexandre, Pourcher Valérie, Raffi François, Piroth Lionel, Bouiller Kévin, Esperou Hélène, Delmas Christelle, Belhadi Drifa, Diallo Alpha, Saillard Juliette, Dechanet Aline, Mercier Noémie, Dupont Axelle, Lescure François-Xavier, Goehringer François, Jaureguiberry Stéphane, Danion François, Tolsma Violaine, Cabie André, Courjon Johan, Leroy Sylvie, Mootien Joy, Mourvillier Bruno, Gallien Sébastien, Lanoix Jean-Philippe, Botelho-Nevers Elisabeth, Wallet Florent, Richard Jean-Christophe, Reuter Jean, Gaymard Alexandre, Greil Richard, Martin-Blondel Guillaume, Andrejak Claire, Yazdanpanah Yazdan, Burdet Charles, Diehl Jean-Luc, Hites Maya, Ader Florence, Susen Sophie, Mentré France, Dupont Annabelle
Innovative Therapies in Hemostasis, INSERM, University Paris Cité, 75006, Paris, France.
Hematology Department, AP-HP Centre, Georges Pompidou European Hospital, Université Paris Cité, 20 Rue Leblanc, 75015, Paris, France.
Sci Rep. 2025 Apr 24;15(1):14348. doi: 10.1038/s41598-025-95122-7.
We investigated whether baseline levels of biomarkers related to endotheliopathy, thromboinflammation, and fibrosis were associated with clinical outcomes in hospitalized COVID-19 patients. We analyzed the associations between baseline levels of 21 biomarkers and time to hospital discharge and change in NEWS-2 score in patients from DisCoVeRy trial. We fitted multivariate models adjusted for baseline ISARIC 4C score, disease severity, D-dimer values, and treatment regimen. Between March 22 and June 29, 2020, 603 participants were randomized; 454 had a sample collected at baseline and analyzed. The backward selection of multivariate models showed that higher baseline levels of soluble suppressor of tumorigenicity 2 (sST2) and nucleosomes were statistically associated with a lower chance of hospital discharge before day 29 (sST2: aHR 0.24, 95% CI [0.15-0.38], p < 10; nucleosomes: aHR 0.62, 95% CI [0.48-0.81], p < 10). Likewise, higher levels of baseline sST2 were statistically associated with lower changes in the NEWS-2 score between baseline and day 15 (adjusted beta 4.47, 95% CI [2.65-6.28], p < 10). Moreover, we evaluated sST2 involvement in a confirmation cohort (SARCODO study, 103 patients) and found that elevated baseline sST2 levels were significantly associated with lower rates of hospital discharge before day 29 and a higher model performance (AUC at day 29 of 92%) compared to models without sST2. sST2 emerged as an independent predictor of clinical outcomes in two large cohort of hospitalized COVID-19 patients, warranting further investigation to elucidate its role in disease progression and potential as a therapeutic target.
我们研究了与内皮病变、血栓炎症和纤维化相关的生物标志物的基线水平是否与住院的COVID-19患者的临床结局相关。我们分析了DisCoVeRy试验中患者的21种生物标志物的基线水平与出院时间以及NEWS-2评分变化之间的关联。我们拟合了针对基线ISARIC 4C评分、疾病严重程度、D-二聚体值和治疗方案进行调整的多变量模型。在2020年3月22日至6月29日期间,603名参与者被随机分组;454人在基线时采集了样本并进行了分析。多变量模型的向后选择显示,较高的基线可溶性肿瘤抑制因子2(sST2)和核小体水平与在第29天前出院的可能性较低在统计学上相关(sST2:调整后风险比0.24,95%置信区间[0.15 - 0.38],p < 0.001;核小体:调整后风险比0.62,95%置信区间[0.48 - 0.81],p < 0.001)。同样,较高的基线sST2水平与基线至第15天之间NEWS-2评分的较低变化在统计学上相关(调整后β值为4.47,95%置信区间[2.65 - 6.28],p < 0.001)。此外,我们在一个验证队列(SARCODO研究,103名患者)中评估了sST2的作用,发现与不包含sST2的模型相比,升高的基线sST2水平与第29天前较低的出院率以及更高的模型性能(第29天的曲线下面积为92%)显著相关。在两个大型住院COVID-19患者队列中,sST2成为临床结局的独立预测因子,值得进一步研究以阐明其在疾病进展中的作用以及作为治疗靶点的潜力。