亚兹德地区COVID-19住院患者生命状况相关危险因素评价

Seyed Yaser Ghelmani, Hossein Soleymani Salehabadi, Homa Moazen, Hossein Nazmiah, Tahere Fallah Tafti, Azam Kabirzadeh, Somaye Gholami
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摘要

导语:继疫情危机和2019冠状病毒病(Covid-19)在伊朗等省份爆发之后,对患者的统计显示,亚兹德省是该国这一致命疾病患病率和发病率最高的几个省份之一。因此,本研究旨在探讨与冠状病毒患者生命状况相关的危险因素。方法:对2018年5月至2019年3月在亚兹德Shahid Sadoughi医院住院的932例COVID-19感染患者的人口学、临床和生化信息进行横断面分析。信息通过患者记录或电话记录下来。采用SPSS-22软件进行独立t检验、Mann-Whitney检验、卡方检验和logistic回归分析。结果:男性占57.9% (N=540),平均年龄53.33(19±0.15)岁,死亡占9.6% (N=82)。重症监护病房(ICU)患者的死亡风险是普通病房患者的75倍。此外,有癌症病史的患者的死亡风险是其他患者的12倍。通过多因素logistic回归模型确定与死亡相关的危险因素,包括年龄增长、呼吸短促、癌症史、ICU住院、白细胞计数增加和钠缺乏。结论:为了降低COVID-19患者的死亡率,医生有必要优先治疗有癌症、呼吸短促等基础疾病的老年患者,以改善其临床状况。
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Evaluation of Risk Factors Related to Life Status of Patients With COVID-19 Hospitalized in Yazd
Introduction: Following the epidemic crisis and the outbreak of Coronavirus 2019 (Covid-19) in Iran and other provinces, the statistics of the patients showed that Yazd is among the top few provinces in the country in terms of the prevalence and incidence of this deadly disease. Therefore, this study aims to investigate the risk factors related to the life status of patients with coronavirus. Methods: In this cross-sectional analytical study, demographic, clinical, and biochemical information of 932 patients who were infected with COVID-19 from May 2018 to March  2019 and were hospitalized in Shahid Sadoughi Hospital in Yazd were examined. Information was recorded through patients’ records or telephone calls. Data analysis was performed by independent t-test, Mann-Whitney, Chi-square, and logistic regression using SPSS-22 software. Results: Based on the results 57.9% (N=540) of patients were male and the mean age of all patients was 53.33 (19 ± 0.15) years, and also 9.6% (N=82) of patients died. The risk of death for patients hospitalized in the intensive care unit (ICU) was 75 times higher than that of patients who were hospitalized in general wards. Also, the risk of death for patients with a history of cancer was 12 times higher than other patients. The risk factors associated with mortality were identified by multivariate logistic regression model, which included increasing age, having shortness of breath, history of cancer, hospitalization in the ICU, increased white blood cell count, and sodium deficiency. Conclusion: In order to reduce the mortality of patients with COVID-19, it is necessary for physicians to prioritize the treatment of elderly patients with underlying diseases, such as cancer and shortness of breath in order to improve their clinical condition.
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