2019年冠状病毒病危重症和非危重症患者:哪个是疾病严重程度和结局最具预测性的生物标志物?一项多中心前瞻性队列研究,比较中部地区肾上腺髓质素、炎症和免疫模式。

Giorgia Montrucchio, Eleonora Balzani, Gabriele Sales, Cesare Bolla, Cristina Sarda, Andrea Della Selva, Massimo Perotto, Fulvio Pomero, Enrico Ravera, Francesca Rumbolo, Tiziana Callegari, Vito Fanelli, Giulio Mengozzi, Luca Brazzi
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引用次数: 0

摘要

背景:2019冠状病毒病(COVID-19)患者的严重急性呼吸综合征-冠状病毒-2导致广泛的临床表现。在非重症病房(NON-ICU)和重症监护病房(ICU)中,评估中部肾上腺髓质素(MR-proADM)作为预后生物标志物,可能具有预测疾病严重程度和结局的潜力。目的:在一项前瞻性多中心队列研究中,评估MR-proADM在非icu病房和icu病房的预后能力差异。设计:2021年1月至7月,所有需要住院48小时以上的成年COVID-19患者。环境:一个初级中心和两个二级中心医院。患者:ICU患者123例,非ICU患者77例。干预:48 h内、第3天、第7天检测MR-proADM、淋巴细胞亚群和免疫球蛋白。采用Log-rank检验比较生存曲线,MR-proADM截断值为1.5 nmol -1。采用不同受者-工作特征曲线的曲线下面积和95%置信区间(CI)对死亡率的预测能力进行比较。主要观察指标:ICU组前48 h MR-proADM值显著升高(中位数1.10 [IQR, 0.80 ~ 1.73] pg ml-1 vs. 0.90 [0.70 ~ 1.20] pg ml-1, P = 0.020),且随着时间推移,MR-proADM、CD3+、CD4+和CD56+的变化均有统计学意义。在单变量分析中,MR-proADM是唯一能显著预测死亡率的生物标志物(P = 0.006)。logistic回归模型显示MR-proADM的死亡率比值比为1.83 (95% CI, 1.08 ~ 3.37) P = 0.035, MuLBSTA的死亡率比值比为1.37 (1.15 ~ 1.68)P = 0.001, SAPS II的死亡率比值比为1.11 (1.05 ~ 1.18)P < 0.001。结论:MR-proADM的入院值和随时间变化的趋势似乎是ICU和非ICU环境中疾病严重程度和患者死亡风险的合适标志。淋巴细胞亚群功能障碍似乎在确定COVID-19严重程度方面发挥作用,但仅限于ICU环境。试验注册:在clinicaltrials.gov上注册,NCT04873388于2020年3月注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical and non-critical coronavirus disease 2019 patients: which is the most predictive biomarker for disease severity and outcome?: A multicentre prospective cohort study comparing mid-regional pro-adrenomedullin, inflammatory and immunological patterns.

Background: Severe acute respiratory syndrome-coronavirus-2 in coronavirus disease 2019 (COVID-19) patients leads to a wide range of clinical manifestations. The evaluation of mid-regional pro-adrenomedullin (MR-proADM) as a prognostic biomarker in noncritical wards (NON-ICU) and intensive care units (ICU), may have a potential in predicting disease severity and outcomes.

Objective: To assess the difference in the prognostic power of MR-proADM in NON-ICU wards and in ICUs in a prospective multicentre cohort study.

Design: From January to July 2021, all adult COVID-19 patients requiring admission for more than 48 h.

Setting: One primary centre and two secondary centre hospitals.

Patients: One hundred and twenty-three ICU and 77 NON-ICU patients.

Intervention: MR-proADM, lymphocyte subpopulations and immunoglobulins were measured within 48 h and on days 3 and 7. A Log-rank test was used to compare survival curves, using a MR-proADM cut-off value of 1.5 nmol l-1. The predictive ability for mortality was compared using the area under the curve and 95% confidence interval (CI) of different receiver-operating characteristic curves.

Main outcome measures: The first 48 h MR-proADM values were significantly higher in the ICU group (median value 1.10 [IQR, 0.80 to 1.73] pg ml-1 vs. 0.90 [0.70 to 1.20] pg ml-1, P = 0.020), and statistically significant changes were observed over time for MR-proADM, CD3+, CD4+ and CD56+. In univariate analysis, MR-proADM was the only biomarker that significantly predicted mortality (P = 0.006). The logistic regression model showed an odds ratio for mortality equal to 1.83 (95% CI, 1.08 to 3.37) P = 0.035 for MR-proADM, 1.37 (1.15 to 1.68) P = 0.001 for MuLBSTA and 1.11 (1.05 to 1.18) P less than 0.001 for SAPS II.

Conclusion: MR-proADM admission values and trends over time appear to be a suitable marker of illness severity and a patient's risk of mortality in both ICU and NON-ICU settings. Lymphocyte subpopulation dysfunction seems to play a role in defining the severity of COVID-19 but is limited to ICU setting.

Trial registration: on clinicaltrials.gov, NCT04873388 registered on March 2020.

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