TY - JOUR
T1 - Predictors of invasive mechanical ventilation in hospitalized COVID-19 patients
T2 - a retrospective study from Jordan
AU - Kabbaha, Suad
AU - Al-Azzam, Sayer
AU - Karasneh, Reema A.
AU - Khassawneh, Basheer Y.
AU - Al-Mistarehi, Abdel Hameed
AU - Lattyak, William J.
AU - Aldiab, Motasem
AU - Hasan, Syed Shahzad
AU - Conway, Barbara R.
AU - Aldeyab, Mamoon A.
N1 - Funding Information:
This paper was not funded.
Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/8/8
Y1 - 2022/8/8
N2 - 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.
AB - 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.
KW - comorbidity
KW - COVID-19
KW - invasive mechanical ventilation
KW - laboratory
KW - predictor
KW - risk factor
KW - SARS‐CoV‐2
KW - severity
UR - http://www.scopus.com/inward/record.url?scp=85135582705&partnerID=8YFLogxK
U2 - 10.1080/17476348.2022.2108796
DO - 10.1080/17476348.2022.2108796
M3 - Article
C2 - 35929952
AN - SCOPUS:85135582705
VL - 16
SP - 945
EP - 952
JO - Expert Review of Respiratory Medicine
JF - Expert Review of Respiratory Medicine
SN - 1747-6348
IS - 8
ER -