Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India

JOURNAL TITLE: Indian Journal of Critical Care Medicine

Author
1. Abhijeet Anand
2. Saiteja Kodamanchili
3. Rajesh Panda
4. Saurabh Saigal
5. Surya Jha
6. Abhijit Pakhare
7. Dodda Brahmam
8. Abhishek Goyal
9. Rajnish Joshi
10. Ankur Joshi
11. Sunaina Tejpal Karna
12. Jai Prakash Sharma
13. Alkesh Khurana
14. Yogesh Niwariya
15. Sagar Khadanga
ISSN
0972-5229
DOI
10.5005/jp-journals-10071-24279
Volume
26
Issue
9
Publishing Year
2022
Pages
9
Author Affiliations
    1. Department of Anesthesia and Critical Care, AIIMS, Bhopal, Madhya Pradesh, India
    1. Department of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
    1. Dayanand Medical College and Hospital, Hero DMC Heart Institute, Ludhiana, Punjab, India
    2. Dayanand Medical College and Hospital, Unit of Hero DMC Heart Institute, Ludhiana, Punjab, India
    3. HCL Healthcare, Gurugram, Haryana, India
    4. Dayanand Medical College and Hospital, Unit Hero DMC Heart Institute, Ludhiana, Punjab, India
    1. Department of Anaesthesiology and Critical Care, AIIMS, Bhopal, Madhya Pradesh, India
    1. Department of Anaesthesiology and Critical Care, AIIMS, Bhopal, Madhya Pradesh, India
    1. Department of CFM, AIIMS, Bhopal, Madhya Pradesh, India
    1. Department of Anesthesiology and Critical Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
    1. Department of Pulmonary Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
    1. Department of Cardiothoracic Surgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
    1. Department of Medicine, AIIMS Bhopal Saket Nagar, Bhopal, Madhya Pradesh, India
    1. Department of Anaesthesiology and Critical Care, UCMS and GTBH, Shahdara, Delhi
    1. Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, India
  • Article keywords
    Acute respiratory distress syndrome, Coronavirus disease-2019, Intensive care unit, Mechanical ventilation

    Abstract

    Background: The outcomes in critical illness depend on disease severity, practice protocols, workload, and access to care. This study investigates the factors affecting outcomes in mechanically ventilated coronavirus disease-2019 acute respiratory distress syndrome (COVID-19 ARDS) patients admitted in a tertiary teaching hospital intensive care unit (ICU) in Central India with reference to different time periods in pandemic. This is one of the largest series of mechanically ventilated COVID-19 ARDS patients, globally. Methods: This retrospective cohort study classified the entire data into four time periods (Period 1: April 2020 to June 2020; Period 2: July 2020 to September 2020; Period 3: October 2020 to December 2020; and Period 4: January 2021 to April 2021). We performed a multivariable-adjusted analysis to evaluate predictors of mortality, adjusted for baseline-severity, sequential organ failure assessment (SOFA score) and time period. We applied mixed-effect binomial logistic regression to model fixed-effect variables with incremental complexity. Results: Among the 56 survivors (19.4%) out of 288 mechanically ventilated patients, there was an up-gradient of survival proportion (0, 18.2, 17.4, and 28.6%) in four time periods. Symptom–intubation interval (OR 1.16; 95% CI 1.03–1.31) and driving pressures (DPs) (OR 1.17; 95% CI 1.07–1.28) were significant predictors of mortality in the model having minimal AIC and BIC values. Patients aged above 60 years also had a larger effect, but statistically insignificant effect favoring mortality (OR 1.99; 95% CI 0.92–4.27). The most complex but less parsimonious model (with higher AIC/BIC) indicated the protective odds of high steroid on mortality (OR 0.59; 95% CI 0.59–0.82). Conclusion: The outcomes in mechanically ventilated COVID-19 ARDS patients are heterogeneous across time windows and may be affected by the complex interaction of baseline risk and critical care parameters.

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