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Expert Review of Respiratory Medicine Volume 16, 2022 - Issue 8
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Original Research

Predictors of invasive mechanical ventilation in hospitalized COVID-19 patients: a retrospective study from Jordan

Suad Kabbahaa Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Ontario, CanadaView further author information
,
Sayer Al-Azzamb Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, JordanORCID Iconhttps://orcid.org/0000-0002-3414-7970View further author information
ORCID Icon,
Reema A. Karasnehc Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, JordanView further author information
,
Basheer Y. Khassawnehd Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, JordanORCID Iconhttps://orcid.org/0000-0003-2160-4498View further author information
ORCID Icon,
Abdel-Hameed Al-Mistarehie Department of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, JordanView further author information
,
William J. Lattyakf Scientific Computing Associates Corp, River Forest, IL, USAView further author information
,
Motasem Aldiabg Department of Computing, British Columbia Institute of Technology, Vancouver, Washington, CanadaView further author information
,
Syed Shahzad Hasanh Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UKORCID Iconhttps://orcid.org/0000-0002-4058-2215View further author information
ORCID Icon,
Barbara R. Conwayh Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK;i Institute of Skin Integrity and Infection Prevention, University of Huddersfield, Huddersfield, UKORCID Iconhttps://orcid.org/0000-0001-5570-3318View further author information
ORCID Icon &
Mamoon A. Aldeyabh Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8148-7612View further author information
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Pages 945-952 | Received 31 Mar 2022, Accepted 29 Jul 2022, Published online: 08 Aug 2022

Figures & data

Table 1. Characteristics, comorbidities, and disease severity for patients with COVID-19 (N = 1,613).

Table 2. Laboratory characteristics of COVID-19 patients (N = 1,613).

Table 3. Multivariate logistic regression results assess the risk factors associated with in-hospital mortality among inpatients with confirmed COVID-19.

Figure 1. Shows variable reduction based on the consensus variable importance extracted from multiple machine learning (ML) methods.

Figure 1. Shows variable reduction based on the consensus variable importance extracted from multiple machine learning (ML) methods.

Figure 2. Sunburst chart with nested rings illustrating the hierarchical breakdown of identified risk factors segmented by patients’ outcome, i.e. IMV versus no IMV.

Figure 2. Sunburst chart with nested rings illustrating the hierarchical breakdown of identified risk factors segmented by patients’ outcome, i.e. IMV versus no IMV.

Figure 3. The panel of receiver operator characteristic (ROC) charts ordered by predictive accuracy.

Figure 3. The panel of receiver operator characteristic (ROC) charts ordered by predictive accuracy.

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