2019冠状病毒病(COVID-19)患者血液学特征分析

IF 1.1 Q4 MEDICAL LABORATORY TECHNOLOGY Advances in laboratory medicine Pub Date : 2022-12-01 DOI:10.1515/almed-2022-0053
Felisia Setio, Darwati Muhadi, Asvin Nurulita, Mansyur Arif, Irawaty Djaharuddin, Arifin Seweng
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引用次数: 0

摘要

目的:报告一些血液学指标作为评估COVID-19患者严重程度的指标。合并症是重症COVID-19的危险因素。在印度尼西亚的望加锡,从未研究过血液学特征基于严重程度和合并症的差异,以及血液学特征与Ct值之间的相关性。本研究的目的是了解COVID-19患者血液学特征在严重程度和合并症上的差异,以及血液学特征与Ct值的相关性。方法:本研究对2020年6月至8月在望加锡Wahidin Sudirohusodo医生医院住院的COVID-19确诊患者进行回顾性、横断面分析。从医院信息系统数据中获取COVID-19患者的血液学特征、Ct值、合并症和严重程度。结果:217例患者中,男性102例(47%),女性115例(53%),轻中度127例(58.5%),重度90例(41.5%),无合并症143例(65%),有合并症74例(35%)。重症患者白细胞(WBC)、红细胞分布宽度(RDW)、中性粒细胞和单核细胞计数、中性粒细胞淋巴细胞比率(NLR)均显著高于轻、中度患者(p < 0.05)。结论:血液学特征可以预测COVID-19患者的严重程度。此外,嗜酸性粒细胞计数可作为预测COVID-19患者感染性的指标。
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Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients.

Objectives: Some hematological parameters were reported as markers to assess severity of COVID-19 patients. Comorbidities were risk factors for severe COVID-19. Differences in hematology profile based on severity and comorbidity, and correlation between hematology profile and Ct value were never studied at Makassar, Indonesia. The aim of this study were to know the differences of hematology profile based on severity and comorbidity, and the correlation between hematology profile and Ct value in COVID-19 patients.

Methods: This study was retrospective, cross-sectional of confirmed COVID-19 patients who had been hospitalized at Dr. Wahidin Sudirohusodo hospital, Makassar, since June to August 2020. Hematology profile, Ct value, comorbidity, and severity of COVID-19 patients were obtained from Hospital Information System Data.

Results: From 217 patients, subjects were 102 (47%) male dan 115 (53%) female, 127 mild-moderate patients (58.5%) and 90 severe patients (41.5%), 143 patients (65%) without comorbidity, 74 patients (35%) with comorbidity. White blood cells (WBC), red cell distribution width (RDW), neutrophil and monocyte count, and neutrophil lymphocyte ratio (NLR) were significantly higher in severe patients than mild-moderate patients (p<0.05), besides RBC, hemoglobin, hematocrit, lymphocyte and thrombocyte count were significantly lower in severe patients than mild-moderate patients (p<0.05). Hematology profile was not different significantly based on comorbidity and was not correlated significantly with Ct value, except eosinophil count (r=0.161; p=0.018).

Conclusions: We suggest that hematology profile could predict the severity of COVID-19 patients. Moreover, eosinophil count could be considered to predict the infectivity of patient with COVID-19.

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