在2019年冠状病毒病 (COVID-19) 患者的血液学概况分析
Felisia Setio1, Darwati Muhadi1,2, Asvin Nurulita1,2
1Hasanuddin University, Makassar, Indonesia.
Advances in laboratory medicine
|June 26, 2023
概括
血液学参数可以预测COVID-19的严重程度. 乙氨基基酸计数可能表明患者的感染性. 这项研究分析了与印度尼西亚马卡萨尔的COVID-19严重程度和CT值相关的血液学概况.
科学领域:
- 血液学 血液学 血液学
- 传染性疾病 传染性疾病
- 在COVID-19研究研究中.
背景情况:
- 血液学参数可以作为评估COVID-19严重程度的潜在标记.
- 伴随性疾病是已知的风险因素,有助于严重的COVID-19结果.
- 之前的研究还没有探索血液学概况与严重性,并发性和病毒载量 (Ct值) 在马卡萨尔,印度尼西亚.
研究的目的:
- 根据COVID-19的严重程度来调查血液学概况的差异.
- 检查有关患者并发症的血液学概况变化.
- 确定血液学参数与SARS-CoV-2的CT值之间的相关性.
主要方法:
- 追溯性,横截面的研究设计.
- 包括2020年6月至8月期间住院的COVID-19确诊患者.
- 从医院信息系统收集数据,包括血液学概况,CT值,并发症和严重程度.
主要成果:
- 与轻度至中度病例相比,严重的COVID-19患者的白细胞 (WBC),红细胞分布宽度 (RDW),中性粒细胞,单细胞数和中性粒细胞淋巴细胞比率 (NLR) 显著增加 (p<0.05).
- 严重的病例还显示红细胞 (RBC),血红蛋白,血红素,淋巴细胞和血栓细胞数量明显降低 (p<0.05).
- 基于并发症的血液学概况没有显著差异,除了乙氨基酸细胞计数 (r=0.161;p=0.018) 之外,与Ct值没有显著相关性.
结论:
- 血液学概况可以作为COVID-19严重程度的预测指标.
- 乙氨基酸细胞数量可能是COVID-19患者感染性的潜在预测指标.
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