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Kim BK, Choi H, Kim CY. Timing dilemma: a systematic review and meta-analysis of short-term mortality in patients with COVID-19 undergoing tracheostomy with varied timing, including 7, 10 and 14 days. BMJ Open 2024; 14:e084405. [PMID: 39658285 DOI: 10.1136/bmjopen-2024-084405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2024] Open
Abstract
OBJECTIVE To analyse the effects of tracheostomy timing on COVID-19 outcomes by comparing mortality rates at different time points (7, 10 and 14 days). DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed, Embase, Cochrane Library, Web of Science and Scopus were searched from 31 August 2023 to 6 September 2023. PRIMARY AND SECONDARY OUTCOMES MEASURES The primary outcome was short-term mortality, defined as intensive care unit (ICU) mortality, hospital mortality and 28-day or 30-day mortality. The secondary outcomes included mechanical ventilation duration, ICU and hospital days. RESULTS Among 3465 patients from 12 studies, the 10-day subgroup analysis revealed higher mortality for earlier tracheostomy than for later tracheostomy (49.7% vs 32.6%, OR 1.91, 95% CI 1.37-2.65). No significant differences were observed at 7- and 14-day marks. Earlier tracheostomy was associated with shorter mechanical ventilation (mean difference=-7.35 days, 95% CI -11.63 to -0.38) and ICU stays (mean difference=-11.24 days, 95% CI -18.50 to -3.97) compared with later tracheostomy. Regarding hospital stay, the later tracheostomy group exhibited a trend towards longer-term inpatients, with no significant difference. CONCLUSIONS No significant difference in short-term mortality was observed between patients undergoing tracheostomy at 7 and 14 days; however, at 10 days, later tracheostomy resulted in a lower mortality rate. Accordingly, subtle timing differences may impact short-term results in COVID-19 patients. Considering that the later tracheostomy group had longer mechanical ventilation and ICU stays, additional research is required to determine an optimal timing that reduces mortality cost-effectively.
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Affiliation(s)
- Beong Ki Kim
- Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Hangseok Choi
- Korea University College of Medicine, Seoul, Republic of Korea
| | - Chi Young Kim
- Department of Internal Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
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Battaglini D, Premraj L, White N, Sutt AL, Robba C, Cho SM, Di Giacinto I, Bressan F, Sorbello M, Cuthbertson BH, Bassi GL, Suen J, Fraser JF, Pelosi P. Tracheostomy outcomes in critically ill patients with COVID-19: a systematic review, meta-analysis, and meta-regression. Br J Anaesth 2022; 129:679-692. [PMID: 36182551 PMCID: PMC9345907 DOI: 10.1016/j.bja.2022.07.032] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 06/12/2022] [Accepted: 07/12/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND We performed a systematic review of mechanically ventilated patients with COVID-19, which analysed the effect of tracheostomy timing and technique (surgical vs percutaneous) on mortality. Secondary outcomes included intensive care unit (ICU) and hospital length of stay (LOS), decannulation from tracheostomy, duration of mechanical ventilation, and complications. METHODS Four databases were screened between January 1, 2020 and January 10, 2022 (PubMed, Embase, Scopus, and Cochrane). Papers were selected according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Population or Problem, Intervention or exposure, Comparison, and Outcome (PICO) guidelines. Meta-analysis and meta-regression for main outcomes were performed. RESULTS The search yielded 9024 potentially relevant studies, of which 47 (n=5268 patients) were included. High levels of between-study heterogeneity were observed across study outcomes. The pooled mean tracheostomy timing was 16.5 days (95% confidence interval [CI]: 14.7-18.4; I2=99.6%). Pooled mortality was 22.1% (95% CI: 18.7-25.5; I2=89.0%). Meta-regression did not show significant associations between mortality and tracheostomy timing, mechanical ventilation duration, time to decannulation, and tracheostomy technique. Pooled mean estimates for ICU and hospital LOS were 29.6 (95% CI: 24.0-35.2; I2=98.6%) and 38.8 (95% CI: 32.1-45.6; I2=95.7%) days, both associated with mechanical ventilation duration (coefficient 0.8 [95% CI: 0.2-1.4], P=0.02 and 0.9 [95% CI: 0.4-1.4], P=0.01, respectively) but not tracheostomy timing. Data were insufficient to assess tracheostomy technique on LOS. Duration of mechanical ventilation was 23.4 days (95% CI: 19.2-27.7; I2=99.3%), not associated with tracheostomy timing. Data were insufficient to assess the effect of tracheostomy technique on mechanical ventilation duration. Time to decannulation was 23.8 days (95% CI: 19.7-27.8; I2=98.7%), not influenced by tracheostomy timing or technique. The most common complications were stoma infection, ulcers or necrosis, and bleeding. CONCLUSIONS In patients with COVID-19 requiring tracheostomy, the timing and technique of tracheostomy did not clearly impact on patient outcomes. SYSTEMATIC REVIEW PROTOCOL PROSPERO CRD42021272220.
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Affiliation(s)
- Denise Battaglini
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Medicine, University of Barcelona, Barcelona, Spain.
| | - Lavienraj Premraj
- Griffith University School of Medicine, Gold Coast, QLD, Australia; Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Nicole White
- Australian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Anna-Liisa Sutt
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia; Faculty of Medical and Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Chiara Robba
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Sung-Min Cho
- Division of Neurosciences Critical Care, Department of Neurology, Neurosurgery, Anaesthesiology and Critical Care Medicine and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ida Di Giacinto
- Unit of Anesthesia and Intensive Care, Mazzoni Hospital, Ascoli Piceno, Italy
| | - Filippo Bressan
- Anesthesia and Intensive Care, Anestesia e Rianimazione Ospedale Santo Stefano di Prato, Prato, Italy
| | - Massimiliano Sorbello
- Anesthesia and Intensive Care, Policlinico San Marco University Hospital, Catania, Italy
| | - Brian H Cuthbertson
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; University Department of Anaesthesiology in Pain Medicine, University of Toronto, Toronto, ON, Canada
| | - Gianluigi Li Bassi
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia; Australian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Queensland University of Technology, Brisbane, QLD, Australia; Critical Care Medicine, UnitingCare Health, Brisbane, QLD, Australia
| | - Jacky Suen
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia; Australian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Queensland University of Technology, Brisbane, QLD, Australia; Critical Care Medicine, UnitingCare Health, Brisbane, QLD, Australia
| | - John F Fraser
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia; Australian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Division of Neurosciences Critical Care, Department of Neurology, Neurosurgery, Anaesthesiology and Critical Care Medicine and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Queensland University of Technology, Brisbane, QLD, Australia; Critical Care Medicine, UnitingCare Health, Brisbane, QLD, Australia
| | - Paolo Pelosi
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
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