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.
| Original language | English |
|---|---|
| Pages (from-to) | 945-952 |
| Number of pages | 8 |
| Journal | Expert Review of Respiratory Medicine |
| Volume | 16 |
| Issue number | 8 |
| Early online date | 8 Aug 2022 |
| DOIs | |
| Publication status | Published - 8 Aug 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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