Ali Mude Abdirasak Sharif, Mohamed Agena Musa Abd Elhadi
Faculty of Medicine and Health Sciences, Simad University, Mogadishu, Somalia 252.
Faculty of Medical Laboratory Sciences, Elimam Elmahdi University, Kosti, Sudan 249.
Adv Hematol. 2023 Oct 3;2023:8862457. doi: 10.1155/2023/8862457. eCollection 2023.
There were no data on SARS-CoV-2 and hematology in Mogadishu, Somalia, despite the fact that many prior investigations of SARS-CoV-2 and hematology have already been conducted in many different parts of the world. As a result, this study aimed to assess hematological changes in COVID-19-infected patients at some selected hospitals in Mogadishu, Somalia. . Outright, 433 COVID-19 patients were included in this study, which used a hospital-based cross-sectional design to investigate hematological alterations using the Mindray full automated hematological analyzer. Furthermore, ethical considerations were taken into account during the study. All individuals provided informed consent prior to participation in the study. Data were analyzed using SPSS. . The median age of the current study was 54.65 ± 20.486 years. People with diabetes, high blood pressure, asthma, or heart disease made up 21.2%, 21.2%, 20%, and 2.1% of the study population, respectively. According to the patients' hematological profiles, 89.5% of them had leukopenia, 86.8% had lymphopenia, and 89% had neutrophilia. Monocytes, eosinophils, basophils, and thrombocytes were typically normal although around 50.4% individuals exhibited anemia. . Hematological indicators can predict how bad the illness is and how it will turn out, which helps guide clinical therapy. Leukopenia, neutrophilia, lymphopenia, and anemia were found in this study. At the time of admission, a thorough review of laboratory parameters can help clinicians make a treatment plan and quickly give intensive care to the patients who need it most.
尽管世界上许多不同地区已经对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)与血液学进行了多次调查,但索马里摩加迪沙却没有关于SARS-CoV-2与血液学的数据。因此,本研究旨在评估索马里摩加迪沙一些选定医院中感染新型冠状病毒肺炎(COVID-19)患者的血液学变化。本研究共纳入433例COVID-19患者,采用基于医院的横断面设计,使用迈瑞全自动血液分析仪调查血液学改变。此外,研究过程中考虑了伦理因素。所有个体在参与研究前均提供了知情同意书。数据使用社会科学统计软件包(SPSS)进行分析。本研究对象的中位年龄为54.65±20.486岁。患有糖尿病、高血压、哮喘或心脏病的人分别占研究人群的21.2%、21.2%、20%和2.1%。根据患者的血液学特征,89.5%的患者有白细胞减少,86.8%的患者有淋巴细胞减少,89%的患者有中性粒细胞增多。单核细胞、嗜酸性粒细胞、嗜碱性粒细胞和血小板通常正常,不过约50.4%的个体存在贫血。血液学指标可以预测疾病的严重程度和转归,有助于指导临床治疗。本研究发现了白细胞减少、中性粒细胞增多、淋巴细胞减少和贫血。入院时,全面审查实验室参数有助于临床医生制定治疗方案,并迅速对最需要的患者给予重症监护。