{"title":"Predictors of mortality among critical COVID-19 patients admitted to the intensive care unit in the Sulaimani governorate in 2021, Iraq","authors":"Sherzad Ismael","doi":"10.15218/zjms.2024.008","DOIUrl":null,"url":null,"abstract":"Background and objective: There are many factors that influence mortality in critically ill patients with COVID-19 infection in the intensive care unit. The aim of this study was to investigate the risk factors that predict the mortalities of critical COVID-19 patients admitted to the intensive care unit in Sulaimani in 2021. Methods: This is an observational retrospective study of critically ill patients with COVID-19 pneumonia admitted to the main intensive care unit of the Sulaimani government between June and December 2020. Overall baseline characteristics are presented based on the patient's survivors versus non-survivors. Mann-Whitney U test was used to compare whether there is a difference between survivors and non-survivors for the independent basic characteristics of the patients. Binary logistic regression was used to identify the predicted factors of survivors. Results: A total of 220 patients were admitted to the intensive care unit, of whom 167 died, with a case fatality rate of 75.9%. The risk factors that predicted mortality in critical COVID-19 patients were an increasing age of more than 59 years (P-value = 0.008), comorbidities (P-value = 0.038), and a lack of use of antiviral drugs (P-value = 0.011). Whereas the factors significantly predicted a reduction in mortality were increasing oxygen saturation (P-value <0.001), systolic blood pressure (P-value = 0.002), non-invasive mechanical ventilation (facemask) (P-value = 0.001), and continuous positive airway pressure (P-value = 0.003). Conclusion: The risk factors that predicted mortality in critical COVID-19 patients were increasing age, comorbidities, and a lack of use of antiviral drugs. Whereas increasing oxygen saturation, systolic blood pressure, non-invasive mechanical ventilation (facemask), and continuous positive airway pressure significantly predicted a reduction in the likelihood of death.","PeriodicalId":53383,"journal":{"name":"Zanco Journal of Medical Sciences","volume":"25 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zanco Journal of Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15218/zjms.2024.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objective: There are many factors that influence mortality in critically ill patients with COVID-19 infection in the intensive care unit. The aim of this study was to investigate the risk factors that predict the mortalities of critical COVID-19 patients admitted to the intensive care unit in Sulaimani in 2021. Methods: This is an observational retrospective study of critically ill patients with COVID-19 pneumonia admitted to the main intensive care unit of the Sulaimani government between June and December 2020. Overall baseline characteristics are presented based on the patient's survivors versus non-survivors. Mann-Whitney U test was used to compare whether there is a difference between survivors and non-survivors for the independent basic characteristics of the patients. Binary logistic regression was used to identify the predicted factors of survivors. Results: A total of 220 patients were admitted to the intensive care unit, of whom 167 died, with a case fatality rate of 75.9%. The risk factors that predicted mortality in critical COVID-19 patients were an increasing age of more than 59 years (P-value = 0.008), comorbidities (P-value = 0.038), and a lack of use of antiviral drugs (P-value = 0.011). Whereas the factors significantly predicted a reduction in mortality were increasing oxygen saturation (P-value <0.001), systolic blood pressure (P-value = 0.002), non-invasive mechanical ventilation (facemask) (P-value = 0.001), and continuous positive airway pressure (P-value = 0.003). Conclusion: The risk factors that predicted mortality in critical COVID-19 patients were increasing age, comorbidities, and a lack of use of antiviral drugs. Whereas increasing oxygen saturation, systolic blood pressure, non-invasive mechanical ventilation (facemask), and continuous positive airway pressure significantly predicted a reduction in the likelihood of death.