Akhavizadegan Hamed, Hosamirudsari Hadiseh, Alizadeh Mahboobeh, Alimohamadi Yousef, Karbakhsh Davari Mojgan, Akbarpour Samaneh, Nakhostin-Ansari Amin, Foroughi Alireza, Mansuri Fariba, Faraji Neda, Nasiri Zohreh
Urology department, Tehran University of Medical Sciences, Tehran, Iran.
Infectious disease department, Tehran University of Medical Sciences, Tehran, Iran.
J Prev Med Hyg. 2021 Jul 30;62(2):E321-E325. doi: 10.15167/2421-4248/jpmh2021.62.2.1700. eCollection 2021 Jun.
To enhance the COVID-19 patients' care and to optimize utilizing medical resources during the pandemic, relevant biomarkers are needed for prediction of the disease's progression. The current study was aimed to determine the factors that affect the mortality of COVID-19 patients admitted in Baharloo hospital in Iran.
in the current retrospective study, 56 survived patients and 56 patients who were died (a total of 112 cases) because of COVID-19 infection were randomly selected from those who were admitted to Baharloo hospital. Each patient who was diagnosed with COVID-19 and had recovered from it matched with each non-survived patient in the term of age. Laboratory tests of all these patients at the time of admission were recorded and compared. All analyses performed using spss version 22 by considering α = 0.05 as a significant level.
There was no statistical difference in the age and gender distribution between the two groups (p > 0.05). The prevalence of diabetes among survived patients was 37.5% and among non-survived patients was 26.8% and there was no statistical difference between two groups regarding this comorbidity (p = 0.22). Also, there was no statistical difference in the prevalence of hypertension and coronary heart diseases between two groups (p > 0.05). Lymphocyte percentage, blood oxygen level, and platelet (PLT) count was significantly higher in patients who had recovered (P < 0.05).
LDH level, Lymphocyte percentage, PLT count, and blood Oxygen saturation have associations with severe forms of COVID-19 infection and can be used as predictors to assess the patients who are suspected of infection with COVID-19 at the time of admission.
为了在疫情期间加强对新冠肺炎患者的护理并优化医疗资源利用，需要相关生物标志物来预测疾病进展。本研究旨在确定影响伊朗巴哈洛医院收治的新冠肺炎患者死亡率的因素。
在本次回顾性研究中，从巴哈洛医院收治的患者中随机选取56例存活患者和56例因新冠肺炎感染死亡的患者（共112例）。每例确诊并康复的新冠肺炎患者与每例非存活患者在年龄方面进行匹配。记录并比较所有这些患者入院时的实验室检查结果。所有分析均使用SPSS 22版本进行，将α = 0.05作为显著水平。
两组之间的年龄和性别分布无统计学差异（p > 0.05）。存活患者中糖尿病的患病率为37.5%，非存活患者中为26.8%，两组在这种合并症方面无统计学差异（p = 0.22）。此外，两组之间高血压和冠心病的患病率也无统计学差异（p > 0.05）。康复患者的淋巴细胞百分比、血氧水平和血小板（PLT）计数显著更高（P < 0.05）。
乳酸脱氢酶（LDH）水平、淋巴细胞百分比、PLT计数和血氧饱和度与新冠肺炎严重感染形式有关，可作为入院时评估疑似新冠肺炎感染患者的预测指标。
