University Clinical Centre of Serbia, Belgrade, Serbia.
Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Oxid Med Cell Longev. 2022 Feb 28;2022:8997709. doi: 10.1155/2022/8997709. eCollection 2022.
Health care workers have had a challenging task since the COVID-19 outbreak. Prompt and effective predictors of clinical outcomes are crucial to recognize potentially critically ill patients and improve the management of COVID-19 patients. The aim of this study was to identify potential predictors of clinical outcomes in critically ill COVID-19 patients.
The study was designed as a retrospective cohort study, which included 318 patients treated from June 2020 to January 2021 in the Intensive Care Unit (ICU) of the Clinical Hospital Center "Bezanijska Kosa" in Belgrade, Serbia. The verified diagnosis of COVID-19 disease, patients over 18 years of age, and the hospitalization in ICU were the criteria for inclusion in the study. The optimal cutoff value of D-dimer, CRP, IL-6, and PCT for predicting hospital mortality was determined using the ROC curve, while the Kaplan-Meier method and log-rank test were used to assess survival.
The study included 318 patients: 219 (68.9%) were male and 99 (31.1%) female. The median age of patients was 69 (60-77) years. During the treatment, 195 (61.3%) patients died, thereof 130 male (66.7%) and 65 female (33.3%). 123 (38.7%) patients were discharged from hospital treatment. The cutoff value of IL-6 for in-hospital death prediction was 74.98 pg/mL (Sn 69.7%, Sp 62.7%); cutoff value of CRP was 81 mg/L (Sn 60.7%, Sp 60%); cutoff value of procalcitonin was 0.56 ng/mL (Sn 81.1%, Sp 76%); and cutoff value of D-dimer was 760 ng/mL FEU (Sn 63.4%, Sp 57.1%). IL-6 ≥ 74.98 pg/mL, CRP ≥ 81 mg/L, PCT ≥ 0.56 ng/mL, and D-dimer ≥ 760 ng/mL were statistically significant predictors of in-hospital mortality.
IL-6 ≥ 74.98 pg/mL, CRP values ≥ 81 mg/L, procalcitonin ≥ 0.56 ng/mL, and D-dimer ≥ 760 ng/mL could effectively predict in-hospital mortality in COVID-19 patients.
自 COVID-19 爆发以来，医护人员面临着艰巨的任务。及时有效地预测临床结果对于识别潜在的重症患者和改善 COVID-19 患者的管理至关重要。本研究旨在确定危重症 COVID-19 患者临床结局的潜在预测因素。
该研究设计为回顾性队列研究，纳入了 2020 年 6 月至 2021 年 1 月在塞尔维亚贝尔格莱德贝赞尼察科萨临床中心重症监护病房（ICU）治疗的 318 例患者。COVID-19 疾病的确诊、年龄超过 18 岁以及 ICU 住院是纳入本研究的标准。使用 ROC 曲线确定 D-二聚体、CRP、IL-6 和 PCT 预测住院死亡率的最佳截断值，使用 Kaplan-Meier 方法和对数秩检验评估生存情况。
该研究纳入了 318 例患者：219 例（68.9%）为男性，99 例（31.1%）为女性。患者的中位年龄为 69（60-77）岁。在治疗过程中，195 例（61.3%）患者死亡，其中 130 例为男性（66.7%），65 例为女性（33.3%）。123 例（38.7%）患者出院。IL-6 预测住院死亡的截断值为 74.98pg/mL（Sn 69.7%，Sp 62.7%）；CRP 的截断值为 81mg/L（Sn 60.7%，Sp 60%）；降钙素原的截断值为 0.56ng/mL（Sn 81.1%，Sp 76%）；D-二聚体的截断值为 760ng/mL FEU（Sn 63.4%，Sp 57.1%）。IL-6≥74.98pg/mL、CRP≥81mg/L、PCT≥0.56ng/mL 和 D-二聚体≥760ng/mL 是住院死亡率的统计学显著预测因素。
IL-6≥74.98pg/mL、CRP 值≥81mg/L、降钙素原≥0.56ng/mL 和 D-二聚体≥760ng/mL 可有效预测 COVID-19 患者的住院死亡率。
