A significant proportion of Coronavirus Disease 2019 (COVID-19) patients require admission to the intensive care unit (ICU) and invasive mechanical ventilation (IMV). Tracheostomy is increasingly performed when a prolonged course of IMV is anticipated.
Objectives
To determine clinical and resource utilization benefits of early versus late tracheostomy among COVID-19 patients.
Methods
Pubmed, Cochrane Library, Scopus, and Embase were used to identify relevant studies comparing outcomes of COVID-19 patients undergoing early and late tracheostomy from January 1, 2020, to December 1, 2021.
Results
Twelve studies were selected, and 2222 critically ill COVID-19 patients hospitalized between January to December 2020 were included. Among the included patients, 34.5% and 65.5% underwent early and late tracheostomy, respectively. Among the included studies, 58.3% and 41.7% defined early tracheostomy using cutoffs of 14 and 10 days, respectively. All-cause in-hospital mortality was not different between the early and late tracheostomy groups (32.9% vs. 33.1%; OR = 1.00; P = 0.98). Sensitivity analysis demonstrated a similar mortality rate in studies using a cutoff of 10 days (34.6% vs. 35.5%; OR = 0.97; P = 0.89) or 14 days (31.2% vs. 27.7%; OR = 1.05; P = 0.78). The early tracheostomy group had shorter ICU length of stay (LOS) (mean: 23.18 vs. 30.51 days; P < 0.001) and IMV duration (mean: 20.49 vs. 28.94 days; P < 0.001) than the late tracheostomy group. The time from tracheostomy to decannulation was longer (mean: 23.36 vs. 16.24 days; P = 0.02) in the early tracheostomy group than in the late tracheostomy group, but the time from tracheostomy to IMV weaning was similar in both groups. Other clinical characteristics, including age, were similar in both groups.
Conclusions
Early tracheostomy reduced the ICU LOS and IMV duration among COVID-19 patients compared with late tracheostomy, but the mortality rate was similar in both groups. The findings have important implications for the treatment of COVID-19 patients, especially in a resource-limited setting.
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