新冠肺炎;埃尔比勒市医院严重程度和预后的预测因素

Halgurd Fathulla Ahmed, Z. Hussein
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引用次数: 0

摘要

背景与目的:目前,冠状病毒感染是国家卫生机构的主要负担之一。该研究的目的是确定可以预测中重度新冠肺炎感染患者死亡率的参数。方法:2020年12月至2021年12月,在伊拉克库尔德斯坦地区埃尔比勒医院对100名实时聚合酶链式反应阳性患者进行了前瞻性横断面研究。通过直接采访患者或其亲属收集入选患者的数据,并填写一份准备好的问卷。这些病人从入院到出院都进行了随访,直到他们活着或死了。结果:住院患者死亡率为44%。所有患者均使用布地奈德喷雾器。老年新冠肺炎患者的死亡率明显较高。新冠肺炎患者出现呼吸困难、高血压和肾衰竭与较高的死亡率显著相关。新冠肺炎患者呼吸频率高、血氧饱和度低、C反应蛋白水平高,死亡率较高。结论:中重度新冠肺炎感染患者的早期死亡率预测因素为年龄大、临床表现为呼吸困难、高血压和肾功能衰竭的临床合并症、高呼吸频率、低氧饱和度和C反应蛋白水平升高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 pneumonia; predictors of severity and outcome in Erbil city hospitals
Background and objective: Corona infections disease nowadays is one of the major burden on national health institutes. The aim of the study is to identify the parameters that can predict the mortality in moderate to severely ill COVID-19 infected patients. Methods: A prospective cross sectional study was carried out in Erbil Hospitals, Kurdistan region/Iraq from December 2020 to December 2021 on a sample of 100patients with positive real-time polymerase chain reaction. The data of enrolled patients were collected by direct interview with patients or with their relatives and filled in a prepared questionnaire. The patients were followed up from their admission to hospital until their discharge alive or dead. Results: The mortality rate of hospitalized patients was 44% for 100 patients. Budesonide nebulizer were given to all of the patients. The mortality rate was significantly higher in old COVID-19 patients. The COVID-19 patients presented with dyspnea, hypertension and renal failure were significantly associated with higher mortality rates. High respiratory rate, low oxygen saturation and high C-reactive protein level were accompanied with higher mortality rates of COVID-19 patients. Conclusion: The early predictors of mortality in patients with moderate to severe COVID-19 infection were elderly age, clinical presentation of dyspnea, clinical co-morbidity with hypertension and renal failure, high respiratory rate, low oxygen saturation and elevated levels of C-reactive protein.
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