Anani Maha, Amer Shaimaa Aam, Kishk Rania M, Hassan Adel, Hassan Shaimaa, Attia Fadia
Clinical Pathology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Public Health and Occupational Medicine Department, Faculty of Medicine, Suez Canal University, Egypt.
J Infect Dev Ctries. 2022 Apr 30;16(4):592-599. doi: 10.3855/jidc.14591.
The severe acute respiratory syndrome coronavirus 2 (SARS CoV2-CoV-2) viral outbreak in Wuhan (China) caused thousands of confirmed cases and deaths around the world. Severe viral pneumonia with respiratory failure and death are the ultimate consequence of infection.
This study aimed to evaluate the regularly performed standard laboratory parameters that can assist in COVID-19 case identification and establish an effective approach to help care and management of (COVID-19) patients.
COVID-19 (n = 129) patients were hospitalized in the Suez Canal University Hospital and were retrospectively examined. Laboratory parameters were gathered from patients upon admission (n = 129) during the period from the 20th of June to 15th of August 2020. SARS-CoV-2 cases were diagnosed clinically and radiologically by chest Computed Tomography (CT) and confirmed by RT-PCR.
The results showed that COVID-19 survivors exhibited lower hemoglobin (Hb) and hematocrit (HCT), while showed higher Red Cell Distribution Width (RDW), neutrophil lymphocyte ratio (NLR), and lymphocytes. Logistic regression analysis showed that age greater than 60 years old, neutrophilia and high NLR were associated with more deaths.
Monitoring of lymphopenia, neutrophilia and NLR may help categorizing patients who may need Intensive care.
中国武汉爆发的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)疫情在全球造成了数千例确诊病例和死亡。严重病毒性肺炎伴呼吸衰竭和死亡是感染的最终后果。
本研究旨在评估常规进行的标准实验室参数,这些参数可协助识别2019冠状病毒病(COVID-19)病例,并建立一种有效的方法来帮助护理和管理COVID-19患者。
129例COVID-19患者在苏伊士运河大学医院住院,并进行回顾性检查。收集了2020年6月20日至8月15日期间入院患者(n = 129)的实验室参数。SARS-CoV-2病例通过胸部计算机断层扫描(CT)进行临床和放射学诊断,并通过逆转录聚合酶链反应(RT-PCR)确诊。
结果显示,COVID-19幸存者的血红蛋白(Hb)和血细胞比容(HCT)较低,而红细胞分布宽度(RDW)、中性粒细胞淋巴细胞比率(NLR)和淋巴细胞较高。逻辑回归分析显示,年龄大于60岁、中性粒细胞增多和高NLR与更多死亡相关。
监测淋巴细胞减少、中性粒细胞增多和NLR可能有助于对可能需要重症监护的患者进行分类。