根据 COVID-19 住院患者的发热状态对血液学、凝血和炎症指标进行分析:回顾性研究

IF 1.1 Q4 PRIMARY HEALTH CARE
Bijoya Chatterjee, Nikunj Modi, Khushi Desai, Yogesh Murugan, Ami M. Trivedi
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引用次数: 0

摘要

摘要 淋巴细胞减少、血小板减少、D-二聚体升高和 C 反应蛋白(CRP)等实验室指标可预测 2019 年冠状病毒病(COVID-19)的预后。然而,目前还缺乏基于发热状态的血液学和凝血参数变化的全面分析。 这项回顾性研究分析了2020年3月至12月住院的300名COVID-19患者。研究人员从电子病历中提取了人口统计学、临床和实验室数据。患者被分为发热组(n = 200)和无发热组(n = 100)。使用适当的统计检验比较各组之间的血液学、凝血和炎症指标。多变量回归确定了发热的独立预测因素。 与不发烧相比,发烧与白细胞增多、中性粒细胞增多、淋巴细胞减少、血小板减少、CRP升高、D-二聚体、降钙素原、白细胞介素-6、中性粒细胞与淋巴细胞比值(NLR)和铁蛋白升高有关(P均<0.05)。D-二聚体(r = 0.42)、CRP(r = 0.52)、NLR(r = 0.48)和白细胞介素-6(r = 0.46)与发烧的相关性最强(P < 0.001)。高 D-二聚体 >1000 ng/mL(调整赔率 2.7)、CRP >100 mg/L (3.1)、淋巴细胞减少 4 (2.9) 和血小板减少 <150 × 109/L (2.7) 是发热状态的重要独立预测因子(P < 0.005)。这些参数对发热患者的判别具有中等灵敏度(40-60%)和高度特异性(74-88%),AUC 为 0.85。 COVID-19 在发热的基础上,血液学、凝血和炎症指标发生了明显的变化。常规实验室参数有助于诊断和风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alterations in hematologic, coagulation, and inflammatory markers based on fever status in hospitalized COVID-19 patients: A retrospective study
ABSTRACT Laboratory markers like lymphopenia, thrombocytopenia, elevated D-dimer, and C-reactive protein (CRP) predict worse outcomes in coronavirus disease 2019 (COVID-19). However, a comprehensive analysis of hematologic and coagulation parameter alterations based on fever status is lacking. This retrospective study analyzed 300 COVID-19 patients hospitalized from March to December 2020. Demographic, clinical, and laboratory data were extracted from electronic medical records. Patients were stratified into fever (n = 200) and no fever (n = 100) groups. Hematologic, coagulation, and inflammatory markers were compared between groups using appropriate statistical tests. Multivariate regression identified independent predictors of fever. Fever was associated with leukocytosis, neutrophilia, lymphopenia, thrombocytopenia, elevated CRP, D-dimer, procalcitonin, interleukin-6, neutrophil to lymphocyte ratio (NLR), and ferritin compared to no fever (all P < 0.05). D-dimer (r = 0.42), CRP (r = 0.52), NLR (r = 0.48), and interleukin-6 (r = 0.46) demonstrated the strongest correlation with fever (P < 0.001). High D-dimer >1000 ng/mL (adjusted odds ratio 2.7), CRP >100 mg/L (3.1), lymphopenia <1.0 × 109/L (2.8), NLR >4 (2.9), and thrombocytopenia <150 × 109/L (2.7) were significant independent predictors of fever status (P < 0.005). These parameters had moderate sensitivity (40–60%) and high specificity (74–88%) for discriminating febrile patients with AUC of 0.85. Marked alterations in hematologic, coagulation, and inflammatory markers occur in COVID-19 based on fever. Routine laboratory parameters can facilitate diagnosis and risk stratification.
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