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Risk Factors Associated with Mortality in COVID-19 Hospitalized Patients: Data from the Middle East.
Karasneh, Reema A; Khassawneh, Basheer Y; Al-Azzam, Sayer; Al-Mistarehi, Abdel-Hameed; Lattyak, William J; Aldiab, Motasem; Kabbaha, Suad; Hasan, Syed Shahzad; Conway, Barbara R; Aldeyab, Mamoon A.
  • Karasneh RA; Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan.
  • Khassawneh BY; Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
  • Al-Azzam S; Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
  • Al-Mistarehi AH; Department of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
  • Lattyak WJ; Scientific Computing Associates Corp., River Forest, IL, USA.
  • Aldiab M; Department of Computing, British Columbia Institute of Technology, Vancouver, Canada.
  • Kabbaha S; Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Canada.
  • Hasan SS; Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
  • Conway BR; Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
  • Aldeyab MA; Institute of Skin Integrity and Infection Prevention, University of Huddersfield, Huddersfield, UK.
Int J Clin Pract ; 2022: 9617319, 2022.
Article in English | MEDLINE | ID: covidwho-1993145
ABSTRACT
This study aimed to assess the risk factors for COVID-19 mortality among hospitalized patients in Jordan. All COVID-19 patients admitted to a tertiary hospital in Jordan from September 20, 2020, to August 8, 2021, were included in this study. Demographics, clinical characteristics, comorbidities, and laboratory results were extracted from the patients' electronic records. Multivariable logistic and machine learning (ML) methods were used to study variable importance. Out of 1,613 COVID-19 patients, 1,004 (62.2%) were discharged from the hospital (survived), while 609 (37.8%) died. Patients who were of elderly age (>65 years) (OR, 2.01; 95% CI, 1.28-3.16), current smokers (OR, 1.61; 95%CI, 1.17-2.23), and had severe or critical illness at admission ((OR, 1.56; 95%CI, 1.05-2.32) (OR, 2.94; 95%CI, 2.02-4.27); respectively), were at higher risk of mortality. Comorbidities including chronic kidney disease (OR, 2.90; 95% CI, 1.90-4.43), deep venous thrombosis (OR, 2.62; 95% CI, 1.08-6.35), malignancy (OR, 2.22; 95% CI, 1.46-3.38), diabetes (OR, 1.31; 95% CI, 1.04-1.65), and heart failure (OR, 1.51; 95% CI, 1.02-2.23) were significantly associated with increased risk of mortality. Laboratory abnormalities associated with mortality included hypernatremia (OR, 11.37; 95% CI, 4.33-29.81), elevated aspartate aminotransferase (OR, 1.81; 95% CI, 1.42-2.31), hypoalbuminemia (OR, 1.75; 95% CI, 1.37-2.25), and low platelets level (OR, 1.43; 95% CI, 1.05-1.95). Several demographic, clinical, and laboratory risk factors for COVID-19 mortality were identified. This study is the first to examine the risk factors associated with mortality using ML methods in the Middle East. This will contribute to a better understanding of the impact of the disease and improve the outcome of the pandemic worldwide.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: Int J Clin Pract Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: 2022

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: Int J Clin Pract Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: 2022