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首页> 外文期刊>Journal of clinical laboratory analysis. >Cautions on the laboratory indicators of COVID-19 patients on and during admission
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Cautions on the laboratory indicators of COVID-19 patients on and during admission

机译:关于Covid-19患者的实验室指标的注意事项及入院期间

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Background Different disease severities of COVID-19 patients could be reflected on clinical laboratory findings. Methods In this single-centered retrospective study, demographic, clinical, and laboratory indicators on and during admission were compared among 74 participants with mild, moderate, critical severe, or severe classification. Risk factors associated with disease severity were analyzed by multivariate analyses. The AUC and 95% CI of the ROC curve were calculated. Results The most common manifestations of these patients were fever and cough. Critical severe or severe group owned the longest length of stay (23 (19,31), p ?0.001). After multivariate logistic regression, independent influence factors on admission for severity of disease were CK-MB (OR 0.674; 95% CI 0.489–0.928; p =?0.016), LDH (OR 1.111 or 1.107; 95% CI 1.026–1.204 or 1.022–1.199; p =?0.009 or 0.013), normal T-BIL (OR 4.58?×?10 ?8 ; 95% CI 3.05?×?10 ?9 –6.88?×?10 ?7 ; p ?0.001), LYM% (OR 0.008; 95% CI 0–0.602; p =?0.029), and normal ESR (OR 0.016; 95% CI 0–0.498; p =?0.019). Factors during hospitalization were normal T-BIL (OR 8.56?×?10 ?9 ; 95% CI 8.30?×?10 ?10 –8.83?×?10 ?8 ; p ?0.001), LYM (OR 0.068; 95% CI 0.005–0.934; p =?0.044), albumin (OR 0.565; 95% CI 0.327–0.977; p =?0.041), and normal NEU% (OR 0.013; 95% CI 0.000–0.967; p =?0.048). Combined indicators of AUC were 0.860 (LYM, LDH, and normal ESR on admission, p ?0.001) and 0.750 (CK-MB, LDH, and normal T-BIL during hospitalization, p =?0.020) when predicting for severe or critical severe patients. Conclusion To pay close attention to the progression of COVID-19 and take measures promptly, we should be cautious of the laboratory indicators when patients on admission especially CK-MB, LDH, LYM%, T-BIL as well as ESR; and T-BIL, LYM, albumin, NEU% with the process of disease.
机译:背景技术Covid-19患者的不同疾病严重程度可以反映在临床实验室发现。在74名参与者中,在74名参与者中,在74名参与者中,在74名参与者中进行了患者,在74名患者中进行了温和,中度,严重严重或严重分类。通过多变量分析分析与疾病严重程度相关的危险因素。计算ROC曲线的AUC和95%CI。结果这些患者的最常见表现是发烧和咳嗽。批判严重或严重的群体拥有最长的逗留时间(23(19,31),P& 0.001)。在多变量逻辑回归后,对疾病严重程度的入院的独立影响因素是CK-MB(或0.674; 95%CI 0.489-0.928; P = 0.016),LDH(或1.111或1.107; 95%CI 1.026-1.204或1.022 -1.199; p = 0.009或0.013),正常T-BIL(或4.58?×10?8; 95%CI 3.05?×10?9 -6.88?×10?7; P&?0.001) ,Lym%(或0.008; 95%CI 0-0.602; p = 0.029)和正常ESR(或0.016; 95%CI 0-0.498; P = 0.019)。住院期间的因素是正常的T-BIL(或8.56?×10?9; 95%CI 8.30?×10?10 -8.83?×10?8; P&Δ0.001),LYM(或0.068; 95 %CI 0.005-0.934; p = 0.044),白蛋白(或0.565; 95%CI 0.327-0.977; P = 0.041),正常Neu%(或0.013; 95%CI 0.000-0.967; P = 0.048) 。 AUC的组合指标为0.860(LYM,LDH和正常ESR,在预测严重或预测期间,P = 0.020)时,P& 0.001)和0.750(CK-MB,LDH和正常T-BIL)关键严重患者。结论要密切关注Covid-19的进展并及时采取措施,当患者尤其是CK-MB,LDH,LYM%,T-BIL以及ESR时,我们应该谨慎对待实验室指标;和T-Bil,Lym,白蛋白,Neu%随着疾病的过程。

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