Department of Adult Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid, Jordan.
Department of Maternal and Child Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid, Jordan.
Medicine (Baltimore). 2023 Dec 15;102(50):e36641. doi: 10.1097/MD.0000000000036641.
There is a need to consider the geographical origins when studying the association between COVID-19 and the comorbid conditions. To examine the role of inflammation in determining the severity of COVID-19 among hospitalized patients with diabetes and compare these roles with those who does not have diabetes. A cross sectional comparative design was used with a convenience sample of 352 patients. Samples were collected from hospitalized patients with COVID-19 who were divided into 2 groups (diabetes and non-diabetes). Data regarding results of selected inflammatory markers and sociodemographic were collected. The severity of COVID-19 differed significantly between the diabetes and non-diabetes groups (Chi square = 25.58 P < .05). There was significant difference in the mean scores of neutrophil counts, monocyte count, Basophil count, erythrocyte sedimentation rate, partial thromboplastin time, C-creative protein, platelets, white blood cells, and mean cellular hemoglobin center between those with and those without diabetes. The diabetes were shown more increased in the predictors and severity of the COVID-19 disease. However, neutrophil to lymphocyte ratio, neutrophil count, and age were the significant predictors of the severity level of COVID-19 among patients with diabetes. In conclusion, our study addressed the influence of having diabetes among hospitalized patients with moderate and severe COVID-19 infection. The results showed that severity of COVID-19 infection was affected by diabetes where those with diabetes had more tendency to suffer from the severe form of the disease rather that the moderate level.
当研究 COVID-19 与合并症之间的关联时，需要考虑地理起源。为了研究炎症在确定患有糖尿病和不患有糖尿病的住院 COVID-19 患者严重程度中的作用。本研究采用了横断面比较设计，使用方便样本对 352 名患者进行了研究。样本取自患有 COVID-19 的住院患者，这些患者被分为 2 组（糖尿病和非糖尿病）。收集了有关选定炎症标志物和社会人口统计学数据。糖尿病组和非糖尿病组的 COVID-19 严重程度差异有统计学意义（卡方=25.58，P<0.05）。糖尿病组和非糖尿病组的中性粒细胞计数、单核细胞计数、嗜碱性粒细胞计数、红细胞沉降率、部分凝血活酶时间、C 反应蛋白、血小板、白细胞和平均细胞血红蛋白中心的平均得分差异有统计学意义。糖尿病患者的 COVID-19 疾病预测因子和严重程度均显示出明显增加。然而，中性粒细胞与淋巴细胞比值、中性粒细胞计数和年龄是糖尿病患者 COVID-19 严重程度的显著预测因子。总之，本研究探讨了患有糖尿病对中重度 COVID-19 感染住院患者的影响。结果表明，COVID-19 感染的严重程度受到糖尿病的影响，糖尿病患者更倾向于患严重疾病，而非中度疾病。
