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Predictors of invasive mechanical ventilation in hospitalized COVID-19 patients: a retrospective study from Jordan.
Kabbaha, Suad; Al-Azzam, Sayer; Karasneh, Reema A; Khassawneh, Basheer Y; Al-Mistarehi, Abdel-Hameed; Lattyak, William J; Aldiab, Motasem; Hasan, Syed Shahzad; Conway, Barbara R; Aldeyab, Mamoon A.
  • Kabbaha S; Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Ontario, Canada.
  • Al-Azzam S; Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
  • 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-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, Washington, 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.
Expert Rev Respir Med ; 16(8): 945-952, 2022 08.
Article in English | MEDLINE | ID: covidwho-1978158
ABSTRACT

OBJECTIVES:

To identify early indicators for invasive mechanical ventilation utilization among COVID-19 patients.

METHODS:

This retrospective study evaluated COVID-19 patients who were admitted to hospital from 20 September 2020, to 8 August 2021. Multivariable logistic regression and machine learning (ML) methods were employed to assess variable significance.

RESULTS:

Among 1,613 confirmed COVID-19 patients, 365 patients (22.6%) received invasive mechanical ventilation (IMV). Factors associated with IMV included older age >65 years (OR,1.46; 95%CI, 1.13-1.89), current smoking status (OR, 1.71; 95%CI, 1.22-2.41), critical disease at admission (OR, 1.97; 95%CI, 1.28-3.03), and chronic kidney disease (OR, 2.07; 95%CI, 1.37-3.13). Laboratory abnormalities that were associated with increased risk for IMV included high leukocyte count (OR, 2.19; 95%CI, 1.68-2.87), low albumin (OR, 1.76; 95%CI, 1.33-2.34) and high AST (OR, 1.71; 95%CI, 1.31-2.22).

CONCLUSION:

Our study suggests that there are several factors associated with the increased need for IMV among COVID-19 patients. These findings will help in early identification of patients at high risk for IMV and reallocation of hospital resources toward patients who need them the most to improve their outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Expert Rev Respir Med Year: 2022 Document Type: Article Affiliation country: 17476348.2022.2108796

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Expert Rev Respir Med Year: 2022 Document Type: Article Affiliation country: 17476348.2022.2108796