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Meta-Analysis
. 2023 Oct 2;6(10):e2337258.
doi: 10.1001/jamanetworkopen.2023.37258.

Generation of Aerosols by Noninvasive Respiratory Support Modalities: A Systematic Review and Meta-Analysis

Affiliations
Meta-Analysis

Generation of Aerosols by Noninvasive Respiratory Support Modalities: A Systematic Review and Meta-Analysis

Madeline X Zhang et al. JAMA Netw Open. .

Abstract

Importance: Infection control guidelines have historically classified high-flow nasal oxygen and noninvasive ventilation as aerosol-generating procedures that require specialized infection prevention and control measures.

Objective: To evaluate the current evidence that high-flow nasal oxygen and noninvasive ventilation are associated with pathogen-laden aerosols and aerosol generation.

Data sources: A systematic search of EMBASE and PubMed/MEDLINE up to March 15, 2023, and CINAHL and ClinicalTrials.gov up to August 1, 2023, was performed.

Study selection: Observational and (quasi-)experimental studies of patients or healthy volunteers supported with high-flow nasal oxygen or noninvasive ventilation were selected.

Data extraction and synthesis: Three reviewers were involved in independent study screening, assessment of risk of bias, and data extraction. Data from observational studies were pooled using a random-effects model at both sample and patient levels. Sensitivity analyses were performed to assess the influence of model choice.

Main outcomes and measures: The main outcomes were the detection of pathogens in air samples and the quantity of aerosol particles.

Results: Twenty-four studies were included, of which 12 involved measurements in patients and 15 in healthy volunteers. Five observational studies on SARS-CoV-2 detection in a total of 212 air samples during high-flow nasal oxygen in 152 patients with COVID-19 were pooled for meta-analysis. There was no association between high-flow nasal oxygen and pathogen-laden aerosols (odds ratios for positive samples, 0.73 [95% CI, 0.15-3.55] at the sample level and 0.80 [95% CI, 0.14-4.59] at the patient level). Two studies assessed SARS-CoV-2 detection during noninvasive ventilation (84 air samples from 72 patients). There was no association between noninvasive ventilation and pathogen-laden aerosols (odds ratios for positive samples, 0.38 [95% CI, 0.03-4.63] at the sample level and 0.43 [95% CI, 0.01-27.12] at the patient level). None of the studies in healthy volunteers reported clinically relevant increases in aerosol particle production by high-flow nasal oxygen or noninvasive ventilation.

Conclusions and relevance: This systematic review and meta-analysis found no association between high-flow nasal oxygen or noninvasive ventilation and increased airborne pathogen detection or aerosol generation. These findings argue against classifying high-flow nasal oxygen or noninvasive ventilation as aerosol-generating procedures or differentiating infection prevention and control practices for patients receiving these modalities.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Zhang reported receiving personal fees from Medspray outside the submitted work. Dr Lilien reported receiving a PhD scholarship from the AMC Graduate School (Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands). Drs Fraenkel and Löndahl reported received funding from AFA Insurance. Dr Klompas reported receiving grants from the Centers for Disease Control and Prevention and Agency for Healthcare Research and Quality and personal fees from UpToDate outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Random-Effects Meta-Analysis of High-Flow Nasal Oxygen (HFNO) on SARS-CoV-2 Detection in Air Samples From Patients With COVID-19
Forest plots showing the pooled odds ratios (ORs) and 95% CIs of observational studies assessing SARS-CoV-2 detection in air samples from patients with COVID-19 treated with either HFNO or control treatments (unsupported breathing, LFNO, or standard oxygen or nonrebreather mask). Patient-level data are from the study by Thuresson et al. Squares represent the relative weight of each study, and diamond size represents the summary effect size.
Figure 2.
Figure 2.. Random-Effects Meta-Analysis of Noninvasive Ventilation (NIV) on SARS-CoV-2 Detection in Air Samples From Patients With COVID-19
Forest plots showing the pooled odds ratios (ORs) and 95% CIs of observational studies assessing SARS-CoV-2 detection in air samples from patients with COVID-19 treated with NIV or control treatments (unsupported breathing, CFNO, or standard oxygen or nonrebreather mask). Patient-level data are from Thuresson et al. Squares represent the relative weight of each study, and diamond size represents the summary effect size.

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