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Glenardi, Chriestya, Oetoro, Mangkuliguna, and Natalia: Comparison of high-flow nasal oxygen therapy and noninvasive ventilation in COVID-19 patients: a systematic review and meta-analysis
Original Article
Pulmonary

Acute Crit Care 2022;37(1):71-83.

Published online: 22 February 2022

DOI: https://doi.org/10.4266/acc.2021.01326

Comparison of high-flow nasal oxygen therapy and noninvasive ventilation in COVID-19 patients: a systematic review and meta-analysis

Glenardi1, Febie Chriestya2, Bambang J Oetoro3, Ghea Mangkuliguna1, Natalia1

1School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, North Jakarta, Indonesia

2Department of Internal Medicine, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, North Jakarta, Indonesia

3Department of Anesthesiology and Critical Care, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, North Jakarta, Indonesia

Corresponding author: Glenardi School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Pluit Raya No. 2, North Jakarta 14440, Indonesia Tel: +62-21-6693168, Fax: +62-21-6606123, E-mail: glenardihalim@gmail.com

Received 18 September 2021       Revised 19 November 2021       Accepted 19 November 2021

Copyright © 2022 The Korean Society of Critical Care Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Acute respiratory failure (ARF) is a major adverse event commonly encountered in severe coronavirus disease 2019 (COVID-19). Although noninvasive mechanical ventilation (NIV) has long been used in the management of ARF, it has several adverse events which may cause patient discomfort and lead to treatment complication. Recently, high-flow nasal cannula (HFNC) has the potential to be an alternative for NIV in adults with ARF, including COVID-19 patients. The objective was to investigate the efficacy of HFNC compared to NIV in COVID-19 patients.

Methods

This meta-analysis was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Literature search was carried out in electronic databases for relevant articles published prior to June 2021. The protocol used in this study has been registered in International Prospective Register of Systematic Reviews (CRD42020225186).

Results

Although the success rate of NIV is higher compared to HFNC (odds ratio [OR], 0.39; 95% confidence interval [CI], 0.16–0.97; P=0.04), this study showed that the mortality in the NIV group is also significantly higher compared to HFNC group (OR, 0.49; 95% CI, 0.39–0.63; P<0.001). Moreover, this study also demonstrated that there was no significant difference in intubation rates between the two groups (OR, 1.35; 95% CI, 0.86–2.11; P=0.19).

Conclusions

Patients treated with HFNC showed better outcomes compared to NIV for ARF due to COVID-19. Therefore, HFNC should be considered prior to NIV in COVID-19-associated ARF. However, further studies with larger sample sizes are still needed to better elucidate the benefit of HFNC in COVID-19 patients.

Keywords: COVID-19, high-flow nasal cannula, meta-analysis, noninvasive ventilation, systematic review

INTRODUCTION

As the coronavirus disease 2019 (COVID-19) pandemic continues to spread globally, there are already more than 218 million confirmed cases and 4.5 million deaths reported to the World Health Organization in September 2021 [1]. In severe and critical cases of COVID-19, acute respiratory distress syndrome (ARDS) remains one of the most common unwanted events encountered. ARDS develops in 42% of COVID‐19 patients and 61%–81% of those with ARDS requiring intensive care, including advance oxygen therapy [2,3].
Avoiding unnecessary use of invasive ventilation and endotracheal intubation persist a main objective in the management of acute respiratory failure (ARF) as these procedures are associated with severe adverse events and poor outcomes [4]. Therefore, a noninvasive oxygenation strategy has been developed to support oxygenation and tackle the negative outcomes which are often found in the invasive strategy [5]. Noninvasive mechanical ventilation (NIV) is one of the alternative respiratory support strategies to invasive mechanical ventilation in ARF. However, the use of NIV has several potential adverse events, such as sputum retention, difficulty in synchronizing breathing and skin damage over the bridge of the nose which may cause discomfort and lead to the discontinuation of NIV to some extent [6]. In recent years, high-flow nasal cannula (HFNC), a newly introduced noninvasive oxygenation device, is also deemed to have the potential to be an alternative for NIV in adults with ARF. HFNC was found to be non-inferior to NIV in reducing the need for invasive ventilation among adults with ARF [7]. Furthermore, a randomized control study also reported that the intubation rate and mortality rate were lower with HFNC than with NIV [8].
In COVID-19 setting, HFNC has been recommended by The Asian Critical Care Clinical Trials Group as an alternative to NIV in COVID-19 patient with ARF [9]. Despite the weak recommendation, The Surviving Sepsis Campaign COVID-19 subcommittee also recommended HFNC to be the first line oxygen therapy for COVID-19 patients as it has been suggested to be superior to NIV by most of the experts [10]. These recommendations might be made based on recent satisfactory results regarding the use of HFNC in COVID-19 patients. Several studies showed that HFNC was found to be non-inferior to NIV for reducing the intubation rate and mortality rate in COVID-19 patients [11-13]. Moreover, some studies even found that HFNC was superior to NIV if used in appropriate patients [8,14]. Hence, it can be postulated that HFNC has the potential to be the preferred treatment prior to NIV in COVID-19-associated ARF. However, there is still limited evidence supporting the advantages of HFNC over NIV in COVID-19 patients. Hence, we design a systematic review of existing studies and perform a meta-analysis to further investigate and measure the efficacy of HFNC compared to NIV in COVID-19 patients.

MATERIALS AND METHODS

Study Registration and Methodology

This meta-analysis was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria [15]. As this paper did not directly involve human subjects, while only using data from published articles, institutional review board approval was not required. The protocol used in this study has been registered in the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42020225186).

Eligibility Criteria

The following criteria were considered for studies’ eligibility: type of study, population, intervention, comparison, and outcome. All types of clinical studies (randomized or non-randomized clinical trials, cohort, case control and cross-sectional) evaluating the use of HFNC and NIV in the COVID-19 patients were included for this study. Case series, case report, reviews and commentary articles were excluded. The participants of this study are subjects diagnosed with COVID-19 and eligible for the use of advanced oxygen therapy. There were no restrictions on age, races, occupation, economy or social status, religion, country, underlying conditions etc. Studies evaluating HFNC as the oxygen therapy for COVID-19 patients were included for this study. Comparators included COVID-19 patients who were treated with NIV. Outcomes of interest were success rate, intubation rate and mortality rate of HFNC compared to NIV in COVID-19 patients. Success rate is defined as the percentage of successes of HFNC or NIV in providing oxygen to the patient without the need to switch to another oxygen-assisted modality. Intubation rate is defined as the percentage of intubations performed due to the deterioration of the patient after HFNC or NIV has been installed. Mortality rate is defined as the number of deaths among each group.

Data Sources and Study Selection

Literature search was carried out with multiple electronic databases, such as Medline, ScienceDirect, EBSCO, and ProQuest to identify articles published up to December 2020. The search was performed by five researchers (G, GM, N, FC, BJO). No time and language restriction were applied. The keywords used were presented in Supplementary Table 1.
After removing duplicates, five reviewers independently screened the titles and abstracts according to the eligibility criteria described above. Thereafter, potentially eligible full-text articles were thoroughly checked by four independent reviewers before including them into the analysis. Reasons for excluding studies were documented. Any emerging discrepancies would be resolved by consensus among the review team. A PRISMA flowchart describing the study selection process was provided. The planned procedure was illustrated in Figure 1.

Data Extraction

At least two reviewers independently extracted the data from eligible articles identified during the screening process. In case of disagreements occurred, it would be resolved through discussion until a consensus was achieved. The following data were extracted from the studies: (1) first author and publication year; (2) region; (3) study design; (4) sample size; (5) sample characteristics (age, sex, pre-existing conditions); (6) PaO2/FiO2; (7) duration of HFNC; (8) duration of NIV; and (9) quality assessment.

Quality Assessment and Reliability of Data

Version 2 of Cochrane Risk of Bias (ROB-2) tool was used to assess the quality of randomized controlled trial [16]. Meanwhile, Newcastle-Ottawa scale (NOS) was used to evaluate the quality of observational studies [17]. Five researchers (G, GM, N, FC, BJO) independently evaluate the quality of each study with any discrepancies resolved through discussion.
Trial sequential analysis (TSA) was performed to determine the required sample size and confirm whether the result of meta-analysis was conclusive. TSA generated thresholds for declaring significance of the result to avoid the overestimation of intervention effects and prevent spurious results. The findings were represented by the cumulative Z-curves. When the cumulative Z-curves surpassed the futility boundary, the level of evidence was adequate and further trials will be judged as futile. The level of evidence was judged as adequate and conclusive, if the Z-curves surpassed the conventional and trial sequential significance boundaries. On the contrary, when Z-curves did not cross any boundaries or only surpassed the conventional boundary, the level of evidence was inadequate and more trials were required to clarify the conclusion. A two-sided trial sequential monitoring boundary type was used in our TSA. The required information size was calculated with α=0.05. TSA was performed using TSA version 0.9.5.10 beta [18].

Data Synthesis and Statistical Analysis

Odds ratio (OR) with a confidence interval (CI) of 95% was used to determine the efficacy of HFNC compared to NIV in COVID-19 patients. OR was considered significant if the value was not equal to 1 with P<0.05. Random effects model was used for the analysis and the combined effect size was plotted using a forest plot. Heterogeneity of included studies are assessed using Cochrane’s Q Test (chi-square) of homogeneity and Higgins I2 statistics. Subgroup analysis would be conducted to find the possible cause of heterogeneity. Funnel plot was used to assess publication bias visually. Asymmetric funnel plot indicated the possibility of publication bias. This would be confirmed through Begg and Mazumdar rank correlation test and Egger’s test of the intercept to determine the presence of publication bias statistically. If publication bias was observed, Duval and Tweedie’s trim and fill method would be used to correct the bias. Furthermore, sensitivity analysis was performed in order to confirm the robustness of this meta-analysis. All statistical tests were done using RevMan 5.3 (Cochrane Collaboration, London, UK) [19].

Confidence in Cumulative Evidence

Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) was used to determine the confidence in cumulative evidence. Judgement was made considering the presence of study limitations, consistency, directness, imprecision, and/or reporting bias. Overall certainty of evidence was shown as high, moderate, low, or very low quality.

RESULTS

Search Results

Initial search from the electronic database yielded 4,206 studies, of which 1,327 were duplicates and therefore excluded. The remaining 2,879 articles were screened through titles and abstracts. Moreover, a total of 2,781 studies were excluded as it was found to be irrelevant to the topic of our study and 98 studies were further assessed for eligibility. At last, 10 studies were included in our systematic review and meta-analysis. The searching strategy and selection methods of this study were illustrated in Figure 1.

Study Characteristics

The majority of included studies are conducted in China (4 studies) [11,14,20,21], followed by Switzerland (2 studies) [22,23], Belgium (1 study) [24], France (1 study) [24], Italy (2 study) [12,25], Austria (1 study) [24], Greece (1 study) [26]. One included study was a randomized clinical trial and the rest of the included studies were categorized as observational study, which were either prospective or retrospective. Six included studies were a multi-center study and the rest were a single-center study. The participants were adults with ages ranging from 36 to 75 years old. All the study participants showed PaO2/FiO2 ratio under 300 mm Hg [27]. Characteristics of included studies were presented in Table 1.

Methodological Quality

A randomized controlled trial was evaluated using Cochrane ROB-2 and judged to have low risk of bias. Quality assessment of the observational studies were conducted using NOS. Based on the findings, the overall quality of all included studies was considered as good with a mean score of 8. There were four studies which did not provide adequate information regarding the follow up of the cohort study. However, it did not affect the overall quality of evidence of these studies because the other point of outcomes’ assessments was provided with adequate information [14,21,24,26]. A complete summary of the quality assessment was presented in Table 2 and Supplementary Figure 1.

Mortality Rate

A meta-analysis of nine studies which was presented in Figure 2A showed THAT HFNC was associated with a lower mortality rate compared to NIV (OR, 0.49; 95% CI, 0.39–0.63; P<0.001; I2, 0%). Moreover, TSA also confirmed this result as the cumulative Z-curve surpassed the conventional significance boundary as well as the trial sequential significance boundary (Figure 2B). Moreover, the cumulative Z-curve also surpassed the required meta-analysis sample size with a minimal participant of 1,524. Thus, the result was conclusive and no further trials are required.
In addition, we also further evaluate the mortality rate of HFNC when used as a first-line oxygen therapy for severe-to-critical COVID-19 patients. Four studies demonstrated that the mortality rate in the HFNC group was significantly lower than the NIV group (OR, 0.45; 95% CI, 0.27–0.75; P=0.002; I2, 0%) in patient who received HFNC and NIV as their first line oxygen therapy (Figure 3A). TSA also confirmed the result as the cumulative Z-curve surpassed the conventional significance boundary as well as the trial sequential significant boundary which implied that the type I and type II error was avoided. Furthermore, the cumulative Z-curve has also reached the required meta-analysis sample size with a minimal participant of 376 (Figure 3B) Thus, it could be inferred that the result was conclusive and no further trials were required.

Success Rate

Three studies demonstrated that NIV had a higher success rate than HFNC. The pooled analysis which was presented in Figure 4A, proposed that the success rate of NIV was significantly higher than the HFNC (OR, 0.39; 95% CI, 0.16–0.97; P=0.04; I2, 0%). In addition, TSA was also conducted to further confirm the result. As seen in Figure 4B, the cumulative Z-curve only surpassed the conventional significance boundary and did not surpass the trial sequential significant boundary which implied that type II error was not avoided. Moreover, the cumulative Z-curve also did not reach the required meta-analysis sample size with a minimal participant of 495. Thus, it could be inferred that the result was still inconclusive and further trials were required.

Intubation Rate

In this study, we found that HFNC was non-inferior to NIV in reducing the need for intubation. As seen in Figure 5A, a meta-analysis of four studies demonstrated that the outcome of HFNC similar to NIV with respect to the intubation rate (OR, 1.35; 95% CI, 0.86–2.11; P=0.19; I2, 9%). To further confirm the result, TSA was also conducted and showed that the cumulative Z-curve did not cross any boundaries which implies that type I and II error were not avoided. Moreover, the cumulative Z-curve also did not reach the required meta-analysis sample size with a minimal participant of 1,684 (Figure 5B). Therefore, the result was still inconclusive and further trials are required.

Confidence in Cumulative Evidence

Overall studies were judged to have good quality according to NOS and Cochrane ROB2, hence plausible bias was unlikely to seriously alter the results. In addition, we did not observe any serious inconsistency and indirectness that could affect the whole results. However, we observed imprecision in some of the outcomes. Most individual studies assessing the success rate and intubation rate were found to have a wide CI and inconclusive TSA results. The publication bias could not be assessed in all of the outcomes as the number of included studies did not reach 10. Overall, we had very low-to-moderate quality of evidence in this meta-analysis. GRADE evidence profile was generated as shown in Table 3.

DISCUSSION

With 10 studies and 1,766 COVID-19 patients included, this study demonstrated that HFNC was superior to NIV in terms of decreasing mortality, especially when used as the first-line oxygen therapy for COVID-19 patients. These findings were in accordance with the previous studies which showed that therapy using HFNC decrease mortality rate compared to using NIV in adults with ARF [9,14,29]. There are several reasons that may explain this finding, but the most convincing evidence is that NIV has been proven to increase the risk for volutrauma [9,29]. NIV can deliver pressure higher than the targeted tidal volume which will result in higher transpulmonary driving pressure and inspiratory effort. These conditions will eventually cause patient self-inflicted lung injury which detrimentally affects the patient’s outcome, thereby increasing mortality [30,31]. In contrast, HFNC ensures a more reliable delivery of desired FiO2 than NIV by preventing the entry of room air during patient inspiration [32]. Thus, it will flushed-out CO2 continuously from the upper airway and eliminates the anatomical dead space, further increasing the efficiency of ventilation.
Furthermore, HFNC also provides a small amount of positive end-expiratory pressure (PEEP) which may counterbalance auto-PEEP and reduce the inspiratory effort [33,34]. By combining the washout effect on the upper airway and the generation of a small PEEP, HFNC is able to decrease the work of breathing and improve the ventilation and perfusion matching without increasing tidal volume [34]. Therefore, HFNC may have a lower risk of aggravating lung injury as it prevents excessive lung expansion. Another possible reason is that HFNC has a more superior effect on airway secretion. In patients with pneumonia, management of airway secretion is essential as sputum retention can lead to airway obstruction which can adversely affect the clinical outcome. By delivering humidified gas, HFNC helps optimize mucosal clearance, controlling secretions volume and facilitating cough thereby preventing atelectasis [35]. On the contrary, NIV is reported to be unable to improve sputum clearance [36]. However, it should be noted that the use of HFNC in different cases is not consistently associated with lower mortality. In a recent Cochrane review comparing the efficacy of HFNC with standard oxygen therapy and NIV in adult intensive care patients, HFNC was shown to not exhibit significantly lower mortality and better outcomes compared with other modalities [37].
This study also showed that HFNC had a similar outcome to NIV in terms of the need for intubation. On the other hand, this result contradicts another study showing lower intubation rates in the HFNC group compared to the NIV group. However, this finding might be explained by the prolonged use of non-invasive ventilation described in this study which consequently resulted in delayed intubation and led to lower intubation rates due to higher mortality rates without intubation [28]. However, the difference in intubation rates between HFNC and NIV in this study was shown to be inconclusive in the TSA and thus further trials are required.
Despite having several advantages over NIV, our study oddly found that HFNC had a lower success rate than NIV to achieve the desired therapeutic goal. This finding is not surprising as another study has also reported a similar result when comparing HFNC and NIV as the first-line therapy for ARF [30]. However, it should be noted that the primary goal in the management of ARF is to prevent patient deterioration and thereby reduce mortality. Although the success rate of NIV is higher compared to HFNC, the mortality in the NIV group is also significantly higher. Therefore, if faced with a choice, it would be more appropriate to prioritize HFNC over NIV to be the first line oxygen therapy in COVID-19-associated ARF.
The overall quality of evidence was identified as very low-to-moderate. There were inconsistencies for the analysis of success rate and intubation rate. A possible explanation was the small number of subjects used in individual studies or low variability of the population. Due to some inconsistencies, we suggest a weak recommendation for using HFNC as an alternative to NIV in COVID-19 patients.
Strengths of our review include that this is the first meta-analysis that comprehensively compared the efficacy of HFNC and NIV in COVID-19 patients. This study provides early evidence that HFNC may be the preferred modality prior to NIV for COVID-19 patients. However, this study also has several limitations. First, the majority of included studies are observational studies where the characteristics of both groups were not controlled. Second, this study only compared HFNC with NIV in general, thus the comparison results are less specific. Third, this study was unable to provide important information regarding the HFNC/NIV settings and PF ratio in some of the included studies. Lastly, only one randomized clinical trial as the highest position on the evidence pyramid was included in this meta-analysis. These limitations support the need for further larger studies to provide credible results.
HFNC has been shown to be effective as an oxygen delivery modality for ARF. Among severe-to-critical COVID-19 patients, ARF is one of the most common unwanted events encountered and must be treated immediately. In this study, HFNC demonstrated a remarkable ability to significantly decrease the intubation rate and have a lower mortality. By knowing the effectiveness of HFNC in COVID-19 patients, our data suggested that HFNC should be considered prior to NIV in COVID-19-associated ARF. However, further clinical and physiological studies are still needed to more clearly elucidate the benefit of HFNC in COVID-19 patients.

KEY MESSAGES

▪ High-flow nasal cannula (HFNC) has demonstrated a remarkable ability to match noninvasive mechanical ventilation (NIV) in terms of preventing intubation and even showed more satisfactory results in preventing mortality.
▪ HFNC should be considered prior to NIV in coronavirus disease 2019 (COVID-19)-associated acute respiratory failure.
▪ Due to relatively small sample size, further studies with larger sample sizes are still needed to more clearly elucidate the benefit of HFNC in COVID-19 patients.

Notes

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conceptualization: G, BJO. Data curation: all authors. Formal analysis: G, GM, BJO. Methodology: G, GM, N. Project administration: all authors. Visualization: G, FC, N. Writing/original draft: all authors. Writing-review & editing: G, FC, BJO.

SUPPLEMENTARY MATERIALS

Supplementary materials can be found via https://doi.org/10.4266/acc.2021.01326.
Supplementary Table 1.
Search Keywords
acc-2021-01326-suppl1.pdf
Supplementary Figure 1.
Methodological quality (randomized controlled trial).
acc-2021-01326-suppl2.pdf

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Figure 1.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of literature search and selection process.
acc-2021-01326f1.tif
Figure 2.
Mortality rate of high-flow nasal cannula (HFNC) compared to noninvasive mechanical ventilation (NIV) if used as the first line therapy or rescue therapy. The mortality rate demonstrated in this figure ranges from 28-day to 90-day mortality rate. (A) Forest plot depicting HFNC compared to NIV on mortality rate in general. The results demonstrate a difference in mortality rate using a random effects model comparing HFNC vs. NIV. (B) Trial sequential analysis comparing success rate between HFNC and NIV. A 39.8% control event rate and a 52.9% relative risk reduction with 95% power and a two-sided α=0.05 were assumed. The trial sequential boundary, futility boundary and the required meta-analysis sample size boundary were not renderable due to the first information fraction exceeded 100% of the required information size. The cumulated Z-curve (blue) only surpassed the conventional significance boundary, indicating type II error was not avoided and the result was still inconclusive. CI: confidence interval.
acc-2021-01326f2.tif
Figure 3.
Mortality rate of high-flow nasal cannula (HFNC) compared to noninvasive mechanical ventilation (NIV) if used as the first line therapy only. (A) Forest plot depicting HFNC compared to NIV on mortality rate when used as the first line oxygen therapy. The results demonstrate a difference in mortality rate using a random effects model comparing HFNC vs. NIV. (B) Trial sequential analysis comparing success rate between HFNC and NIV. A 27% control event rate and a 54.8% relative risk reduction with 95% power and a two-sided α=0.05 were assumed. The cumulated Z-curve (blue) surpassed the conventional significance boundary, trial sequential boundary and the required meta-analysis sample size boundary, indicating that the cumulative evidence is conclusive and no further trials are needed. CI: confidence interval.
acc-2021-01326f3.tif
Figure 4.
Success rate of high-flow nasal cannula (HFNC) compared to noninvasive mechanical ventilation (NIV). (A) Forest plots of patients who receive HFNC and NIV as their oxygen therapy. Events showed patients who succeeded to achieve their therapeutic goal. The results demonstrate a difference in success rate using a random effects model comparing HFNC vs. NIV. (B) Trial sequential analysis comparing success rate between HFNC and NIV. A 60.4% control event rate and a 26.8% relative risk reduction with 95% power and a two-sided α=0.05 were assumed. The cumulated Z-curve (blue) only surpassed the conventional significance boundary, indicating type II error was not avoided and the result was still inconclusive. The required meta-analysis sample size boundary was also not surpassed, indicating further trials are needed. CI: confidence interval.
acc-2021-01326f4.tif
Figure 5.
Intubation rate of high-flow nasal cannula (HFNC) compared to noninvasive mechanical ventilation (NIV). (A) Forest plot depicting HFNC compared to NIV on intubation rate. The results demonstrate no difference in intubation rate was noted using a random effects model. (B) Trial sequential analysis comparing success rate between HFNC and NIV. A 26.1% control event rate and a 6.4% relative risk reduction with 95% power and a two-sided α=0.05 were assumed. The trial sequential boundary, futility boundary and the required meta-analysis sample size boundary were not renderable due to too little information use (1.11%) during the analysis. The cumulated Z-curve (blue) did not surpass any boundary, indicating and the result was still inconclusive. CI: confidence interval.
acc-2021-01326f5.tif
Table 1.
Characteristics of studies included in the meta-analysis
Study Region Study type Sample size Age (yr) PaO2/FiO2 HFNC setting NIV setting Quality assessment
COVID-ICU Group (2020) [23] France, Switzerland, and Belgium Multi-center, prospective, cohort study HFNC: 23, NIV: 13 63 (54–71) Overall sample: 154 mm Hg (106-223), HFNC: ND, NIV: ND ND ND 8 (Good)a
Duan et al. (2021) [11] China Multi-center, retrospective, cohort study HFNC: 23, NIV: 13 HFNC: 65±14, NIV, 50±14 HFNC: >200 mm Hg: 9 (23) 150–200 mm Hg: 10 (44) 100–150 mm Hg: 4 (17) NIV: >200 mm Hg: 3 (23) 150–200 mm Hg: 4 (31) 100–150 mm Hg: 6 (46) The temperature was set between 31°C and 37°C, the flow was set between 30 and 60 L/min, and the FiO2 was set to maintain the SpO2 more than 93% NIV delivered by face mask. The initial inspiratory pressure was 8–10 cm H2O. The FiO2 was titrated to main the SpO2 more than 93%. 8 (Good)a
Franco et al. (2020) [12] Italy Multi-center, prospective, observational study HFNC: 163, NIV: 177 HFNC: 65.7±14.7, NIV: 66.8±13.5 HFNC: 166±65 mm Hg, NIV: 138±66 mm Hg HFNC was delivered using standard devices (nasal high flow therapy; Fisher and Paykel Healthcare, East Tamaki, New Zealand) NIV was delivered by single-circuit NIV platforms provided with an oxygen blender and ad hoc filters. 9 (Good)a
Wendel Garcia et al. (2021) [28] Switzerland Prospective, cohort study HFNC: 10, NIV: 12 63 (53–71) HFNC: 136 mm Hg (90–194), NIV: ND ND ND 8 (Good)a
Grieco et al. (2021) [25] Italy Multi-center, randomized, clinical trial HFNC: 55, NIV: 54 HFNC: 63 (55–69), NIV: 66 (57–72) HFNC: 102 mm Hg (80–124), NIV: 105 mm Hg (83–125) HFNC was delivered using standard devices (nasal high flow therapy; Fisher and Paykel Healthcare) continuously for at least 48 hours. Gas flow was initially set at 60 L/min and eventually decreased in case of intolerance, FIO2 titrated to obtain peripheral SpO2 between 92% and 98%, and humidification chamber was set at 37°C or 34°C according to the patient’s comfort NIV was delivered using helmet interface for 48 hours continuously. The ventilator was set in pressure support mode, with the following settings: initial pressure support between 10 and 12 cm H2O, eventually increased to ensure a peak inspiratory flow of 100 L/min; positive end-expiratory pressure between 10 and 12 cm H2O; and FIO2 titrated to obtain SpO2 between 92% and 98% Low riskb
Hu et al. (2020) [20] China Retrospective, observational study HFNC: 12, NIV: 15 HFNC: 61.5 (48–76.8), NIV: 64 (56–74) Overall sample: 193± 50.77 mm Hg, HFNC: ND, NIV: ND ND ND 9 (Good)a
Klein et al. (2020) [24] Austria Multi-center, prospective, observational study HFNC: 15, NIV: 52 64 (54–74.5) ND ND ND 7 (Good)a
Routsi et al. (2020) [26] Greece Prospective, observational study HFNC: 17, NIV: 9 ≤64 yr: 26 (52), ≥65 yr: 24 (48) Overall sample: 121 mm Hg (86–171), HFNC: ND, NIV: ND ND ND 7 (Good)a
Wang et al. (2020) [13] China Multi-center, retrospective observational study HFNC: 17, NIV: 9 HFNC: 65 (56–75) HFNC: 181 mm Hg (130–376), NIV: ND The temperature was set at 31°C to 37°C, the flow was set at 30 to 60 L/min, and FiO2 was set to maintain the SpO2 more than 93%. NIV delivered by face mask. The initial inspiratory pressure was 8–10 cm H2O. The FiO2 was titrated to main the SpO2 more than 93%. 7 (Good)a
Wang et al. (2020) [21] China Retrospective, observational study HFNC: 22, NIV: 65 59.2 (42.8–73.1) ND ND ND 7 (Good)a

Values are presented as median (interquartile range), mean±standard deviation, or number (%).

HFNC: high-flow nasal cannula; NIV: noninvasive mechanical ventilation; COVID: coronavirus disease; ICU: intensive care unit; ND: no data.

a Newcastle-Ottawa scale;.

b Cochrane risk of bias tool.

Table 2.
Methodological quality (observational studies)
Study Selection
 Comparability
 Outcome
 Overall quality assessmenta
Representative of exposed cohort Selection of non-exposed cohort Ascertainment of exposure Demonstration that outcome was not present at start of study Comparability of cohorts based on design and analysis Assessment of outcome Timing of follow-up Adequate follow-up
COVID-ICU group (2020) [23] ★ ★ ★ ★ ★ ★ ★ ★ 8 (Good)
Duan et al. (2021) [11] ★ ★ ★ ★ ★ ★ ★ ★ 8 (Good)
Franco et al. (2020) [12] ★ ★ ★ ★ ★★ ★ ★ ★ 9 (Good)
Wendel Garcia et al. (2021) [28] ★ ★ ★ ★ ★ ★ ★ ★ 8 (Good)
Hu et al. (2020) [20] ★ ★ ★ ★ ★★ ★ ★ ★ 9 (Good)
Klein et al. (2020) [24] ★ ★ ★ ★ ★ ★ ★ 7 (Good)
Routsi et al. (2020) [26] ★ ★ ★ ★ ★ ★ ★ 7 (Good)
Wang K et al. (2020) [13] ★ ★ ★ ★ ★ ★ ★ 7 (Good)
Wang Z et al. (2020) [21] ★ ★ ★ ★ ★ ★ ★ 7 (Good)

COVID: coronavirus disease; ICU: intensive care unit.

a Thresholds for converting the Newcastle-Ottawa scales to Agency for Healthcare Research and Quality standards (good, fair, and poor). Good quality: 3 or 4 stars in selection domain; and 1 or 2 stars in comparability domain; and 2 or 3 stars in outcome/exposure domain; Fair quality: 2 stars in selection domain; and 1 or 2 stars in comparability domain; and 2 or 3 stars in outcome/exposure domain; Poor quality: 0 or 1 star in selection domain; or 0 stars in comparability domain; or 0 or 1 stars in outcome/exposure domain.

Table 3.
GRADE evidence profile (HFNC compared to NIV for COVID-19 patients)
Outcome No. of participants (studies) Quality assessment
 Summary of findings
Risk of bias (NOS, Cochrane ROB2) Inconsistency Indirectness Imprecision Publication bias Overall quality of evidence Study event rate
 OR (95% CI)
HFNC/total NIV/total
Success rate 104 (3 cohort studies) Not serious Not serious Not serious Seriousa NAb Very low 27/61 26/43 0.39 (0.16–0.97)
Very low
Intubation rate 511 (1 RCT, 3 cohort studies) Not serious Not serious Not serious Seriousa NAb Very low 81/258 68/253 1.35 (0.86–2.11)
Low
Mortality rate in general 1,740 (1 RCT, 8 cohort studies) Not serious Not serious Not serious Not seriousa NAb Very low 268/1,111 242/629 0.49 (0.39–0.63)
Moderate
Mortality rate if used as first-line therapy 419 (4 cohort studies) Not serious Not serious Not serious Not seriousa NAb Very low 29/212 56/207 0.45 (0.27–0.75)
Low

GRADE: Grading of Recommendations, Assessment, Development, and Evaluations; HFNC: high-flow nasal cannula; NIV: noninvasive mechanical ventilation; COVID-19: coronavirus disease 2019; NOS: Newcastle-Ottawa scale; OR: odds ratio; CI: confidence interval; NA: not applicable; RCT: randomized controlled trial.

a Most of the individual studies have a wide CI and affected the overall CI to be wide. TSA was inconclusive;

b Publication bias could not be determined as the number of studies was less than 10.

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