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. 2022 Oct 19;63:86–93. doi: 10.1016/j.ajem.2022.10.029

Non-rebreather mask and low-flow nasal cannula vs high-flow nasal cannula in severe COVID−19 pneumonia in the emergency department

Muhammad Khidir Mohd Kamil a,, Khadijah Poh Yuen Yoong a, Abdul Muhaimin Noor Azhar a, Aida Bustam a, Ahmad Hariz Abdullah b, Mohd Hafyzuddin Md Yusuf a, Aliyah Zambri a, Ahmad Zulkarnain Ahmad Zahedi a, Hidayah Shafie b
PMCID: PMC9578968  PMID: 36327755

Abstract

Background

To assess the effectiveness of non-rebreather mask combined with low-flow nasal cannula (NRB + NC) compared to high-flow nasal cannula (HFNC) in improving oxygenation in patients with COVID-19-related hypoxemic respiratory failure (HRF).

Methods

This retrospective study was conducted in emergency departments of two tertiary hospitals from June 1 to August 31, 2021. Consecutive patients aged >18 years admitted for COVID-19-related HRF (World Health Organization criteria: confirmed COVID-19 pneumonia with respiratory rate > 30 breaths/min, severe respiratory distress, or peripheral oxygen saturation < 90% on room air) requiring NRB + NC or HFNC were screened for enrollment. Primary outcome was improvement of partial pressure arterial oxygen (PaO2) at two hours. Secondary outcomes were intubation rate, ventilator-free days, hospital length of stay, and 28-day mortality. Data were analyzed using linear regression with inverse probability of treatment weighting (IPTW) based on propensity score.

Results

Among the 110 patients recruited, 52 (47.3%) were treated with NRB + NC, and 58 (52.7%) with HFNC. There were significant improvements in patients' PaO2, PaO2/FIO2 ratio, and respiratory rate two hours after the initiation of NRB + NC and HFNC. Comparing the two groups, after IPTW adjustment, there were no statistically significant differences in PaO2 improvement (adjusted mean ratio [MR] 2.81; 95% CI -5.82 to 11.43; p = .524), intubation rate (adjusted OR 1.76; 95% CI 0.44 to 6.92; p = .423), ventilator-free days (adjusted MR 0.00; 95% CI -8.84 to 8.85; p = .999), hospital length of stay (adjusted MR 3.04; 95% CI -2.62 to 8.69; p = .293), and 28-day mortality (adjusted OR 0.68; 95% CI 0.15 to 2.98; p = .608).

Conclusion

HFNC may be beneficial in COVID-19 HRF. NRB + NC is a viable alternative, especially in resource-limited settings, given similar improvement in oxygenation at two hours, and no significant differences in long-term outcomes. The effectiveness of NRB + NC needs to be investigated by a powered randomized controlled trial.

Keywords: Non-rebreather mask, High-flow nasal cannula, COVID-19, Hypoxemic respiratory failure, Oxygen therapy

1. Introduction

More than 460 million people have been infected with coronavirus disease 2019 (COVID-19), killing 6 million during the global pandemic [1]. Early in the pandemic, many hospitals received COVID-19 patients with hypoxemic respiratory failure (HRF) requiring supplemental oxygen and ventilator support [2,3]. In a study of 5700 patients with COVID-19 hospitalized in the United States between March and April 2020, 27.8% received supplemental oxygen, 14.2% admitted in the intensive care unit (ICU), and 12.2% required endotracheal intubation and mechanical ventilation [4]. ICUs have been overwhelmed and high mortality was observed in COVID-19 patients requiring invasive ventilation [4]. The initial respiratory treatment modalities for these patients are widely debated, and different strategies including non-invasive oxygen therapy have yielded variable outcomes [5,6].

Non-invasive respiratory support such as high-flow nasal cannula (HFNC) is an attractive strategy for avoiding invasive ventilation. HFNC is simple to use and has physiological benefits [[7], [8], [9], [10]]. In previous studies, HFNC reduced the need for endotracheal intubation in HRF due to chronic obstructive pulmonary disease, cardiogenic pulmonary oedema, community-acquired pneumonia, and COVID-19 [7,[10], [11], [12], [13]]. However, there were no differences in mortality rates, ICU admission, or length of stay [7]. Many low- and middle-income countries are struggling with scarcity of healthcare resources, particularly oxygen supply amid a devastating COVID-19 surge [14]. HFNC devices are dependent on the wall oxygen system and consume 5 to 10 times the amount of oxygen that a mechanical ventilator does [15]. However, the oxygen pipes and vaporizers in many older hospitals are unable to accommodate the higher flow needs due to building structural limitations. Conventional oxygen therapy (COT) can be delivered using portable oxygen cylinders to lessen the demand for wall oxygen [15].

Current trials do not provide definitive evidence to recommend the use of HFNC in COVID-19 with HRF [[16], [17], [18]]. In resource-limited settings, particularly in the emergency department (ED), COT may offer a viable option for treating severe COVID-19 infection [8,19]. Problems arise in patients with severe HRF who require higher concentrations of oxygen that are not met by non-rebreather mask (NRB) alone. Previous reports in India have demonstrated an improvement in oxygenation with the usage of combined NRB and low-flow nasal cannula (NRB + NC) therapy for COVID-19-related HRF [20]. A retrospective study of 54 ICU patients found that NRB + NC yielded comparable results to HFNC in terms of mortality, intubation rate, and length of ICU and hospital stay [21]. However, this study recruited a small sample size in an ICU setting. It is uncertain if the results of this study would be applicable in the ED.

This retrospective, bicenter, observational study was conducted in COVID-19-related HRF patients to compare arterial oxygenation, intubation rate, invasive ventilation-free days, hospital length of stay, and 28-day mortality between NRB + NC and HFNC treatment groups.

2. Methods

2.1. Study design and setting

This retrospective, observational study was conducted in the ED of two tertiary hospitals in Malaysia. The Medical Research Ethics and the National Medical Research Register approved the study protocol (MREC ID: 2021819–10491, NMRR ID: 21–02094-TYT) and waived the requirement for informed consent. This study was conducted in accordance with Declaration of Helsinki.

2.2. Selection of participants

All consecutive adult patients admitted in the ED between June 1 to August 31, 2021 for severe COVID-19 pneumonia were screened for enrollment. Severe COVID-19 pneumonia was based on the World Health Organization (WHO) criteria: clinical signs of pneumonia (fever, cough, dyspnea) plus one of the following; respiratory rate > 30 breaths/min, severe respiratory distress, or peripheral oxygen saturation (SpO2) < 90% on room air [22]. Other inclusion criteria were patients aged 18 years and older requiring NRB + NC or HFNC. COVID-19 infection was confirmed via reverse transcriptase-polymerase chain reaction (RT-PCR) assay.

Patients were excluded if emergent invasive ventilation was required upon presentation or within two hours of initiation of oxygen therapy. Other exclusion criteria were cross-treatment between NRB + NC and HFNC in ED, acute exacerbation of chronic pulmonary diseases, moderate to severe heart failure (New York Heart Association class ≥3 or left ventricular ejection fraction <40%), end-stage renal disease, and pregnancy.

2.3. Measurements

Data extracted from patients' medical records were age, gender, comorbidities, vaccination status, vital signs, chest radiograph findings, arterial blood gas (ABG), lactate, C-reactive protein, ferritin, D-dimer, and treatment provided. The decision to initiate oxygen therapy was at the discretion of the attending physician and based on the availability of the HFNC device and the oxygen capacity in the ED. In the NRB + NC group, patients received oxygen via 15 L/min of non-rebreather mask and 5 L/min of nasal cannula with fraction of inspired oxygen (FIO2) determined as 1.0. In the HFNC group, patients received oxygen via AIRVO 2 Optiflow (Fisher Paykel, New Zealand) with the flow rate and FIO2 determined by the treating physician. The need for invasive ventilation was determined two hours after the initiation of oxygen therapy based on clinical parameters and ratio of oxygen saturation (SpO2/FIO2) to respiratory rate (ROX) as per standard institutional protocol. Partial pressure of arterial oxygen (PaO2) to FIO2 ratio (PFR), Sequential Organ Failure Assessment (SOFA), ROX, and APACHE II scores were calculated from the recorded parameters.

Treatment included prone positioning and concomitant medical therapies such as steroids and other immunomodulatory agents, antibiotics, antiviral agents, and vasopressors as determined by the treating physicians. Patients were followed-up for 28 days.

Data were collected retrospectively from the respective hospital's medical records. The International Classification of Disease (ICD-10-CM) code U07.1 was used to extract patient records for “Confirmed COVID-19 virus identified”. Data abstraction was performed by two experienced medical doctors who had undergone training on the study protocol to minimize inter-rater variability. The data abstractors were not blinded to the study objectives and hypotheses. Patients' clinical and biochemical characteristics were recorded on the data-abstraction forms. Three certified emergency physicians (KPYY, AMNA, and AB) validated that all participants included in the study fulfilled the definition for severe COVID-19 pneumonia according to the WHO criteria.

2.4. Outcomes

The primary outcome of the study was the improvement of PaO2 after receiving NRB + NC or HFNC at two hours. Secondary outcomes were intubation rate, ventilator-free days, length of hospital stay, 28-day mortality, improvement in SpO2, PFR, and respiratory rate, and number of days to intubation or to de-escalation of oxygen therapy. Ventilator-free days was defined as the number of days the patients were liberated from mechanical ventilation. If a patient died within the 28 days, the ventilator-free days was documented as 0.

The sample size was calculated using G*power version 3.1.9.4 with an effect size of 0.5 and α-error probability of 0.05. The effect size of 0.5 was used since there were no previous comparable studies. For a study power of 0.80, the total sample size required was 102 including a dropout rate of 10%.

2.5. Statistical analysis

The results were analyzed using Statistical Package for the Social Sciences (SPSS) version 26 (IBM Crop, Armonk, NY) and R Project for Statistical Computing (version 4.0.4). Descriptive statistics were expressed as frequencies (percentages), mean (standard deviation), or median (interquartile range). Categorical variables were analyzed using Pearson's chi-square test or Fisher's exact test when appropriate. Test of normality was determined with the Shapiro-Wilk test for continuous variables. Normally distributed continuous data were analyzed using Student's t-test and reported as mean differences and mean ratio (MR), whereas non-parametric data was analyzed with Mann-Whitney U test and reported as odds ratio (OR). The Paired Samples t-test and Wilcoxon Signed-Rank Test were used to calculate the differences in physiological variables at baseline and two hours of administration of oxygen therapy.

In the sensitivity analysis, heterogeneity in the NRB + NC and HFNC groups were adjusted with propensity score using inverse probability of treatment weighting (IPTW) due to the small cohort in both groups. The data between NRB + NC and HFNC groups were heterogeneous in vaccination status, heart rate, respiratory rate, SpO2, pH, partial pressure of carbon dioxide (PaCO2), bicarbonate (HCO3 ), serum lactate, SOFA, and APACHE II scores, and thus were selected as covariates for the IPTW. The IPTW method creates a pseudo-population where the weighted data can mitigate the covariate bias. Average treatment effects were calculated using 1/propensity score for NRB + NC group and inverse of (1-propensity score) for HFNC group [23]. Generalized linear model and regression analyses were used to analyze the adjusted outcomes. The survival analysis and cumulative intubation rates were plotted as IPTW-adjusted Kaplan-Meier curves using Cox proportional hazards regression model. The findings were considered statistically significant if the p < .05.

3. Results

3.1. Characteristics of study subjects

Out of the 531 severe COVID-19 pneumonia patients admitted to the 2 participating EDs between June 1 and August 31, 2021, 110 met the inclusion criteria and were included in the analysis (Fig. 1 ). Fifty-two patients (47.3%) were in the NRB + NC group, and 58 (52.7%) were in the HFNC group. No patients were lost to follow-up and no missing data was reported. There was no crossover of patients between the two treatment arms. In the HFNC group, the mean initial flow rate and FIO2 were 58.3 L/min (95% CI 57.3 to 59.3 L/min) and 0.58 (95% CI 0.57 to 0.59). Mean ROX indices at two hours for NRB + NC and HFNC were 2.73 (95% CI 2.11 to 4.08) and 6.21 (95% CI 4.04 to 8.44), respectively. Two patients from each group had a do-not-intubate (DNI) order. Baseline characteristics of the patients are summarized in Table 1 . The physiologic variables at baseline and two hours of application of oxygen therapy are shown in Table 2 and Fig. 2 .

Fig. 1.

Fig. 1

Selection of study participants.

Table 1.

Baseline characteristics of patients, according to study group.

Characteristic No. (percentage, %)
p-valuea
Non-rebreather mask and low-flow nasal cannula (n = 52) High-flow nasal cannula (n = 58)
Age, median (IQR), years 48 (36–60) 53 (41–63) 0.237
Sex 0.822
 Male 33 (63.5) 38 (65.5)
 Female 19 (36.5) 20 (34.5)
Relevant comorbidities
 Type 2 diabetes 19 (36.5) 16 (27.6) 0.314
 Hypertension 29 (55.8) 26 (44.8) 0.252
 Dyslipidaemia 28 (53.8) 9 (15.5) <0.001
 Obesity 1 (1.9) 4 (6.9) 0.211
 Ischaemic Heart Disease 1 (1.9) 4 (6.9) 0.211
 Congestive Cardiac Failure 1 (1.9) 0 0.289
 Chronic Kidney Disease 1 (1.9) 0 0.289
 Cerebrovascular disease 0 2 (3.4) 0.177
 Bronchial asthma 0 4 (6.9) 0.054
 History of cancer 0.938
 Breast cancer 1 (1.9) 1 (1.7)
Vaccination status <0.001
Unvaccinated 28 (53.8) 51 (87.9)
 dPartially vaccinated 22 (42.3) 6 (10.3)
 Pfizer-BioNTech 7 (13.4) 1 (1.7)
 Sinovac 15 (28.9) 5 (8.6)
 eCompletely vaccinated 2 (3.8) 1 (1.7)
 Pfizer-BioNTech 1 (1.9) 0
 Sinovac 1 (1.9) 1 (1.7)
Blood pressure, median (IQR) mmHg
 Systolic 127 (88–139) 129 (111–135) 0.567
 Diastolic 74 (55–82) 77 (68–82) 0.086
 Mean arterial pressure 92 (65–101) 94 (83–98) 0.244
Heart rate, mean (SD) beats/min 106 (12) 98 (17) 0.004
Respiratory rate, median (IQR) breaths/min 38 (37–39) 30 (28–36) <0.001
Temperature, median (IQR), °C 38.0 (37.8–39.0) 37.0 <0.001
Oxygen saturation on non-rebreather 15 L/min, SpO2 median (IQR) SpO2 82 (80–84) 92 (87–95) <0.001
Glasgow Coma Scale (GCS) 15 15 0.098
Arterial blood gases on non-rebreather 15 L/min, median (IQR)
 pH 7.30 (7.26–7.36) 7.48 (7.45–7.51) <0.001
 PaO2, mm Hg 65.7 (61.0–72.4) 64.5 (54.7–72.8) 0.580
 PaCO2, mm Hg 31.7 (28.9–36.6) 28.9 (26.1–31.8) 0.001
 HCO3, mmol/L 16.9 (15.4–18.7) 23.8 (21.6–25.5) <0.001
 Base deficit, mmol/L 2.7 (1.7–3.6) 1.7 (0.6–3.7) 0.165
 PaO2 / FIO2 ratio 66 (61–72) 69 (58–83) 0.188
Serum lactate, median (IQR) mmol/L 3.00 (2.63–3.48) 1.49 (1.17–2.11) <0.001
C-reactive protein, median (IQR) mg/L 206.5 (167.0–312.5) 130.1 (95.7–165.1) <0.001
Serum ferritin, median (IQR), μg/L 467 (339–736) 1075 (637–2495) <0.001
Positive D-dimer (qualitative) 16 (30.8) 11 (19.0) 0.185
bSOFA score, median (IQR) 3 (2–6) 2 (2–3) 0.001
cAPACHE II score, median (IQR) 17 (13−22) 11 (8–13) <0.001
A-a gradient, median (IQR) 608 (598–613) 608 (594–616) 0.722
Bilateral infiltrates on chest x-ray 52 (100) 58 (100)
Concomitant medications
 Steroids 52 (100) 58 (100)
 Anti-coagulants 52 (100) 58 (100)
 Antibiotics 51 (98.1) 47 (81.0) 0.005
 Favipiravir 8 (15.4) 12 (20.7) 0.621
 Tocilizumab 3 (5.8) 15 (25.9) 0.002
 Baricitinib 2 (3.8) 7 (12.1) 0.002
Prone position 46 (88.5) 12 (20.7) <0.001
Vasopressor / inotropic support <0.001
 Single (Noradrenaline) 20 (38.5) 5 (8.6)

Abbreviations: FIO2, fraction of inspired oxygen; IQR, interquartile range; PaCO2, partial pressure of carbon dioxide; PaO2, partial pressure of arterial oxygen; SD, standard deviation; SOFA, Sequential Organ Failure Assessment; SpO2, peripheral arterial oxygenation.

a

For qualitative variables, p-values refer to the Chi-square test or Fisher exact test, whereas for quantitative variables, p-values tabulated from the student's t-test or Mann-Whitney U test.

b

SOFA score was calculated from 6 variables at enrollment. Scores range from 0 to 24, with higher scores indicating more severe disease.

c

APACHE II score was calculated from 12 variables at enrollment. Scores range from 0 to 71, with higher scores indicating more severe disease and higher mortality.

d

Patients who received a COVID-19 vaccine injection or received two injections but <14 days from date of ED admission.

e

Patients who received two injections with at least 14 days from date of admission.

Table 2.

Physiologic variables at baseline and two hours of application of oxygen therapy, according to study group.

Variable Non-rebreather mask and low-flow nasal cannula
High-flow nasal cannula
Baseline Two hours p-value Baseline Two hours p-value
Oxygen saturation, median (IQR), SpO2 (%)a 82 (80–84) 90 (88–94) <0.001 92 (87–95) 93 (89–95) 0.164
Respiratory rate, median (IQR) breaths/mina 38 (37–39) 35 (32–36) <0.001 30 (28–36) 25 (23−30) <0.001
Heart rate, mean (SD) beats/minb 106 (12) 98 (9) <0.001 98 (17) 89 (14) <0.001
Systolic blood pressure, median (IQR), mm Hga 127 (88–139) 125(120−131) 0.096 129 (111–135) 127 (115–138) 0.353
Diastolic blood pressure, median (IQR), mm Hga 74 (55–82) 75 (68–82) 0.019 77 (68–82) 71 (60–78) 0.001
Mean arterial pressure, median (IQR), mm Hga 92 (65–101) 91 (86–98) 0.020 94 (83–98) 88 (82–98) 0.071
Arterial pH, median (IQR)a 7.30 (7.26–7.36) 7.32 (7.28–7.35) 0.639 7.48 (7.45–7.51) 7.45 (7.41–7.48) 0.000
PaO2, median (IQR), mm Hga 65.7 (61.0–72.4) 80.2 (72.2–84.0) <0.001 64.5 (54.7–72.8) 69.1 (57.6–80.2) 0.041
PaCO2, median (IQR) mm Hga 31.7 (28.9–36.6) 34.0 (30.3–38.0) 0.128 28.9 (26.1–31.8) 32.6 (29.0–35.8) <0.001
HCO3, median (IQR), mmol/La 16.9 (15.4–18.7) 17.8 (15.3–20.0) 0.415 23.8 (21.6–25.5) 23.6 (21.4–26.1) 0.354
PaO2 / FIO2 ratio (PFR), median (IQR)a 66 (61–72) 80 (72–84) <0.001 69 (58–83) 118 (105–141) <0.001
Serum lactate, median (IQR) mmol/La 3.00 (2.63–3.48) 2.35 (1.70–3.08) <0.001 1.49 (1.17–2.11) 1.20 (1.10–1.58) <0.001

Abbreviations: HCO3, bicarbonate; IQR, interquartile range; PaO2, partial pressure of arterial oxygen; PaCO2, partial pressure of carbon dioxide; SD, standard deviation; SpO2, peripheral arterial oxygenation.

a

Wilcoxon Signed-Rank Test.

b

Paired-Samples t-Test.

Fig. 2.

Fig. 2

Physiologic variables at baseline and two hours of application of oxygen therapy.

3.2. Main results

3.2.1. Primary outcome

The median improvement of PaO2 at two hours after application of oxygen therapy was 13.0 mmHg (IQR 7,18) in the NRB + NC group and 4.0 mmHg (IQR -6.4, 17.0) in the HFNC group (p = .009). The mean difference and MR between the NRB + NC and HFNC groups were 6.0 mmHg (95% CI 0 to 12.0) and 5.61 mmHg (95% CI -0.59 to 11.81), respectively (Table 3 ).

Table 3.

Primary and secondary outcomes, according to study group.

Outcomes No (%)
Unweighted
ATE weighted
Absolute / mean difference Odds ratio / mean ratio (95% CI) p-value Adjusted odds ratio / mean ratio (95% CI) Adjusted p-value
Non-rebreather mask and low-flow nasal cannula High-flow nasal cannula
Primary Outcome
Partial pressure of arterial oxygen at 2 h, PaO2 median (IQR) mm Hga 80.2 (72.0 to 84.0) 69.1 (57.6 to 80.2) 6.0 (0 to 12.0) 1.11 (1.03 to 1.19) 0.001 1.09 (0.93 to 1.27) 0.311
Improvement in partial pressure of arterial oxygen at 2 h, PaO2 median (IQR) mm Hga 13.0 (7.0 to 18.0) 4.0 (−6.4 to 17.0) 6.0 (0 to 12.0) 5.61 (−0.59 to 11.81) 0.009 2.81 (−5.82 to 11.43) 0.524



Secondary Outcomes
Oxygen saturation at 2 h, SpO2 median (IQR) %a 90 (88 to 94) 93 (89 to 95) −1 (−3 to 0) −1.38 (−3.13 to 0.38) 0.025 2.40 (−1.27 to 6.08) 0.200
Improvement in oxygen saturation at 2 h, SpO2 mean (SD), %a 8 (4) 1 (6) 6 (4 to 8) 6.18 (4.21 to 8.14) <0.001 4.80 (−0.04 to 9.63) 0.052
PaO2 / FIO2 at 2 h, median (IQR)a 80 (72 to 84) 118 (105 to 141) −46 (−56 to −37) 0.64 (0.59 to 0.69) <0.001 0.64 (0.54 to 0.75) <0.001
Improvement in PaO2 / FIO2 at 2 h, median (IQR)a 13 (7 to 18) 49 (30 to 68) −36 (−47 to −25) −36.08 (−46.79 to −25.38) <0.001 −42.09 (−56.98 to −27.20) <0.001
Respiratory rate at 2 h, median (IQR) breaths/mina 35 (32 to 36) 25 (23 to 30) 7 (5 to 9) 7.31 (5.73 to 8.89) <0.001 3.50 (0.98 to 6.03) 0.006
Reduction in respiratory rate at 2 h, median (IQR) breaths/mina 3 (2 to 5) 5 (1 to 9) −2 (−4 to 0) −1.85 (−3.64 to 0.06) 0.038 −1.35 (−2.78 to 0.09) 0.066
Intubation within 28 days from enrollmentb 28 (53.8) 22 (37.9) 1.91 (0.89 to 4.09) 0.094 1.76 (0.44 to 6.92) 0.423
Days to intubation, median (IQR)c 0 (0 to 1) 3 (1 to 6) −4 (−7 to −1) − 0.41 (−0.63 to - 0.25) <0.001 0.60 (0.32 to 1.12) 0.110
Invasive ventilation-free days within 28d, median (IQR)a 23 (0 to 28) 28 (0 to 28) −2 (−6 to 3) −1.51 (−6.12 to 3.09) 0.145 0.00 (−8.84 to 8.85) 0.999
Days to de-esclation to lower respiratory support (e.g: nasal cannula, simple face mask), median (IQR)b 4 (3 to 4) 5 (3 to 7) −2 (−5 to 0) −0.37 (−0.58 to −0.23) <0.001 0.54 (0.29 to 1.00) 0.049
Mortality within 28db 15 (28.8) 16 (27.6) 1.06 (0.46 to 2.44) 0.883 0.68 (0.15 to 2.98) 0.608
Hospital length of stay, median (IQR) daysa 16 (8 to 19) 13 (10 to 19) 0 (−3 to 3) −0.32 (−3.23 to 2.59) 0.561 3.04 (−2.62 to 8.69) 0.293

Abbreviations: ATE, Average treatment effects; FIO22, fraction of inspired oxygen; IQR, interquartile range; PaO2, partial pressure of arterial oxygen; SpO2, peripheral arterial oxygenation.

a

Linear regression analysis.

b

Logistic regression analysis.

c

Poisson regression analysis.

3.2.2. Secondary outcomes

The mean improvement of SpO2 at two hours in the NRB + NC group vs HFNC group were 8% vs 1% (mean difference 6%; 95% CI 4 to 8; p ≤ 0.001). The median improvement of PFR at two hours in the NRB + NC group vs HFNC group were 13 vs 49 (mean difference − 36; 95% CI -47 to −25; p ≤ 0.001). The reduction of respiratory rate in the NRB + NC group vs HFNC group were 3 vs 5 breaths/min (mean difference − 2; 95% CI -4 to 0; p = .038).

The rates of endotracheal intubation within 28 days in the NRB + NC and HFNC groups were 53.8% vs 37.9% (OR 1.91; 95% CI 0.89 to 4.09; p = .094). The median days to intubation in the NRB + NC and HFNC groups were 0 vs 3 days (mean difference − 4; 95% CI -7 to −1; p ≤ 0.001). The median ventilator-free days in the NRB + NC group compared to the HFNC group were 23 vs 28 days (mean difference − 2; 95% CI -6 to 3; p = .145).

The median length of hospital stay in the NRB + NC and HFNC groups were 16 vs 13 days (mean difference 0; 95% CI -3 to 3; p = .561). The 28-day mortality rates in the NRBC+NC vs HFNC groups were 28.8% vs 27.6% (OR 1.06; 95% CI 0.46 to 2.44; p = .883) (Table 3).

3.2.3. Sensitivity analyses

Fig. 3 shows the covariates before and after IPTW adjustment. After the adjustment, there were no differences between NRB + NC and HFNC groups in improvement of PaO2 (adjusted MR 2.81; 95% CI -5.82 to 11.43; p = .524), requirement for intubation (adjusted OR 1.76; 95% CI 0.44 to 6.92; p = .423), ventilator-free days (adjusted MR 0.00; 95% CI -8.84 to 8.85; p = .999), hospital length of stay (adjusted MR 3.04; 95% CI -2.62 to 8.69; p = .293), and 28-day mortality (adjusted OR 0.68; 95% CI 0.15 to 2.98; p = .608).

Fig. 3.

Fig. 3

Standardized mean differences of covariates for IPTW adjustment.

However, there were differences in the outcomes observed between NRB + NC and HFNC groups in PFR improvement (13 vs 49; adjusted MR -42.09; 95% CI -56.98 to −27.20; p ≤ 0.001), respiratory rate at two hour (35 vs 25 breaths/min; adjusted MR 3.50; 95% CI 0.98 to 6.03; p = .006), and duration to de-escalate to lower respiratory support, such as simple face mask or NC (4 vs 5 days; adjusted MR 0.54; 95% CI 0.29 to 1.00; p = .049).

4. Discussion

In this retrospective study of COVID-19 patients with HRF presenting to the ED, both NRB + NC and HFNC groups demonstrated significant improvements in PaO2 at two hours. The NRB + NC group had a greater two-hour median difference in PaO2 improvement compared to the HFNC group (13 vs 4 mmHg; p-value = .009), but this difference was not statistically significant after IPTW adjustment (adjusted MR 2.81; p-value = .524). In contrast, SpO2 improvement was significantly different between the two groups. This could be explained by the NRB + NC group having lower SpO2 at baseline, attributable to a greater proportion of severely ill patients compared to the HFNC group (APACHE II score 17 vs 11; p-value = .001). Moreover, more patients in the NRB + NC group required proning compared to the HFNC group (46 vs 12; p-value = .001) to achieve a similar targeted SpO2.

The findings of this study corroborate previous trials that observed significant improvements in PFR and reduction in respiratory rate after initiating HFNC [13]. A systematic review found that HFNC significantly improves PFR and respiratory rate [13]. HFNC reduces oxygen dilution, allows a more reliable FIO2, eliminates physiological dead space, and generates positive end expiratory pressure (PEEP) [24]. Nonetheless, improvement of PFR and respiratory rate were also seen in the NRB + NC group. The use of a low-flow NC in combination with NRB reduces air mixing and increases FIO2 closer to 1.0, which cannot be achieved by NRB alone [13,20,21].

Early observational studies demonstrated high mortality rates in COVID-19 patients with HRF requiring invasive ventilation [4,6]. The usage of non-invasive respiratory support avoids ventilator-induced lung injury and the complications related to prolonged sedation and neuromuscular paralysis [25]. Evidence for HFNC as an effective treatment for HRF is drawn from studies on populations other than COVID-19 pneumonia [7,[11], [12], [13]].

Despite the presumed physiological benefits of HFNC use over COT, there is no evidence that it reduces mortality. A meta-analysis by Rochwerg et al. of 9 trials involving 2093 patients with HRF of various aetiologies, found no difference in mortality in patients treated with HFNC compared to COT (relative risk 0.94; 95% CI 0.67 to 1.31) [7]. Similarly, other recent trials did not demonstrate the mortality benefits of HFNC over COT [[16], [17], [18]]. This suggests that neither HFNC nor COT have a direct effect on the disease process and impacting mortality, but both have similar efficacy in terms of improving oxygenation and preventing intubation in a greater proportion of patients. Early relief of respiratory effort could theoretically reduce patients' self-inflicted lung injury and result in improved clinical outcomes [17]. However, COVID-19 is a unique disease from other causes of HRF, with complex manifestations of dysregulated immuno-inflammatory response, thrombotic, parenchymal, and endotheliopathy derangements [26]. Various factors and treatments may influence long-term outcomes of patients.

In COVID-19-related HRF, current trials have shown inconsistent evidence in the role of HFNC in avoiding intubation [[16], [17], [18]]. In the HifLo-Covid trial, the use of HFNC reduced the rate of endotracheal intubation compared with COT (34.3% vs 51.0%) [17]. However, the RECOVERY-RS trial contradicted this finding [18]. The RECOVERY-RS trial randomized 1273 COVID-19 patients to continuous positive airway pressure (CPAP), HFNC, or COT, and found reduced rate of endotracheal intubation in CPAP compared to COT (36.3% vs 44.4%), but no significant difference between HFNC and COT (44.3% vs 45.1%) [18].

In this study, patients in the NRB + NC group were more severely ill at baseline with more dyspnea, hypoxia, and acidosis. They also had a greater vasopressor requirement than patients in the HFNC group. Consequently, the cumulative intubation rates over 28 days showed that patients in the NRB + NC group were more likely to require early intubation, with the majority requiring it within a day (Log rank p = .02) (Fig. 4 ). This correlated with the low ROX index after two hours of initiating NRB + NC therapy. Although the patients treated with NRB + NC appeared to have a lower survival rate than those treated with HFNC, this was not statistically significant (Log rank p = .503) (Fig. 5 ). The curves imply that a considerable number of patients in the NRB + NC died early in the course of the disease within 8 days, before reaching a plateau at day 10 and nearly converges with the HFNC curve at day 24.

Fig. 4.

Fig. 4

Cumulative incidence of intubation over 28 days using IPTW-adjusted Kaplan-Meier plots.

Fig. 5.

Fig. 5

Cumulative Incidence of Survival over 28 days using IPTW-adjusted Kaplan-Meier plots.

The HFNC group did not show a statistically significant difference in intubation rate compared to the NRB + NC group. Comparatively, the rates of intubation in recent COVID-19-related HRF trials were 34% and 44% [17,18]. In this study, patients in the HFNC group had more ventilator-free days compared to those in the NRB + NC group. Despite the patients in the NRB + NC group being more critically ill at baseline, the difference in ventilator-free days was not statistically significant compared to the HFNC group.

It was observed in this study that patients on HFNC took longer to de-escalate to COT. This was likely due to a greater inclination among physicians to maintain HFNC use until the required FIO2 was within 0.30. This corresponds with experts' recommendation that FIO2 should be <0.4 before weaning off HFNC [27,28]. However, the ideal weaning strategy of HFNC is not yet established. The current SLOWH trial is investigating different HFNC weaning protocols among patients with various causes of HRF [29].

Successful avoidance of intubation could optimize resource allocation in the ED, especially in the context of the COVID-19 pandemic. In settings where access to HFNC is available, using HFNC is reasonable, but NRB + NC may be a viable alternative. This study was conducted in a developing country with significant resource limitations, especially in regards to the availability of oxygen canisters and HFNC devices that were further exacerbated by the massive caseload of COVID-19 pandemic. HFNC may consume more oxygen than NRB + NC, and invasive ventilation is cumulatively more resource-intensive than non-invasive ventilation or COT. Therefore, this necessitated the use of the readily available NRB + NC which was deemed an efficient alternative to the more resource-intensive HFNC.

This study has several limitations. Firstly, this was a retrospective observational study with a possibility of selection bias. Secondly, despite sensitivity analysis through IPTW, optimal matching could not be achieved due to the heterogeneity of the patients' baseline characteristics in the two treatment groups. Potentially significant covariates which were not matched were vasopressor use and prone position. However, there was no difference in the baseline blood pressure and there is insufficient evidence regarding the benefits of awake prone positioning in the management of nonintubated COVID-19 patients with HRF [30]. Thirdly, given the use of oxygen therapy with varying FIO2, PFR may be a more accurate reflection of improvement in oxygenation, especially in the setting of a right-to-left shunt due to ventilation-perfusion mismatch. Lastly, because of its retrospective nature, there may have been some variability in the exact timing of ABG sampling, although local protocol requiring ROX score to be obtained two hours after therapy is initiated may reduce this error if adhered to. Further multi-centered randomized controlled trials are required to assess the efficacy and safety of NRB + NC in severe COVID-19 infection.

5. Conclusions

In summary, HFNC may be beneficial in COVID-19 HRF. NRB + NC is a viable alternative, especially in resource-limited settings, given similar improvement in oxygenation at two hours, and no significant differences in long-term outcomes. The effectiveness of NRB + NC needs to be investigated by a powered randomized controlled trial.

CRediT authorship contribution statement

Muhammad Khidir Mohd Kamil: Writing – review & editing, Writing – original draft, Supervision, Methodology, Investigation, Formal analysis, Conceptualization. Khadijah Poh Yuen Yoong: Writing – review & editing, Supervision, Methodology, Conceptualization. Abdul Muhaimin Noor Azhar: Writing – review & editing, Supervision, Software, Methodology, Formal analysis, Conceptualization. Aida Bustam: Writing – review & editing, Supervision, Software, Methodology, Conceptualization. Ahmad Hariz Abdullah: Data curation. Mohd Hafyzuddin Md Yusuf: Writing – review & editing, Supervision, Methodology, Conceptualization. Aliyah Zambri: Writing – review & editing. Ahmad Zulkarnain Ahmad Zahedi: Supervision, Methodology, Conceptualization. Hidayah Shafie: Data curation.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

We would like to express our appreciation to the Director General of Ministry of Health (MOH), Malaysia for the publication of this journal.

References

  • 1.World Health Organization . World Health Organization; 2022. WHO COVID-19 dashboard.https://covid19.who.int/ Available: [accessed March 19, 2022] [Google Scholar]
  • 2.Ministry of Health (MOH) Ministry of Health; 2022. COVIDNOW in Malaysia.https://covidnow.moh.gov.my/ Available: [accessed March 19, 2022] [Google Scholar]
  • 3.COVID-19 cases in categories 4, 5 on the rise - Dr AdhamBERNAMA. 2021 https://www.bernama.com/en/general/news_covid-19.php?id=1971774 Available: [accessed March 19, 2022] [Google Scholar]
  • 4.Richardson S., Hirsch J.S., Narasimhan M., et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York city area. JAMA. 2020;323(20) doi: 10.1001/jama.2020.6775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Franco C., Facciolongo N., Tonelli R., et al. Feasibility and clinical impact of out-of-ICU noninvasive respiratory support in patients with COVID-19-related pneumonia. Eur Respir J. 2020;56(5):2002130. doi: 10.1183/13993003.02130-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Grasselli G., Zangrillo A., Zanella A., et al. COVID-19 Lombardy ICU network. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA. 2020;323(16):1574–1581. doi: 10.1001/jama.2020.5394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rochwerg B., Granton D., Wang D.X., et al. High flow nasal cannula compared with conventional oxygen therapy for acute hypoxemic respiratory failure: a systematic review and meta-analysis. Intensive Care Med. 2019 May;45(5):563–572. doi: 10.1007/s00134-019-05590-5. [DOI] [PubMed] [Google Scholar]
  • 8.Brewster D.J., Chrimes N., Do T.B., et al. Consensus statement: safe airway society principles of airway management and tracheal intubation specific to the COVID-19 adult patient group. Med J Aust. 2020 Jun;212(10):472–481. doi: 10.5694/mja2.50598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Alhazzani W., Møller M.H., Arabi Y.M., et al. Surviving sepsis campaign: guidelines on the management of critically ill adults with coronavirus disease 2019 (COVID-19) Intensive Care Med. 2020 Mar 28:1–34. doi: 10.1007/s00134-020-06022-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bonnet N., Martin O., Boubaya M., et al. High flow nasal oxygen therapy to avoid invasive mechanical ventilation in SARS-CoV-2 pneumonia: a retrospective study. Ann Intensive Care. 2021 Feb 27;11(1):37. doi: 10.1186/s13613-021-00825-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ni Y.N., Luo J., Yu H., et al. Can high-flow nasal cannula reduce the rate of reintubation in adult patients after extubation? A meta-analysis. BMC Pulm Med. 2017 Nov 17;17(1):142. doi: 10.1186/s12890-017-0491-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kang Hanyujie, Zhao Zhiling, Tong Zhaohui. Effect of high-flow nasal cannula oxygen therapy in immunocompromised subjects with acute respiratory failure. Respir Care. 2020;65(3):369–376. doi: 10.4187/respcare.07205. [DOI] [PubMed] [Google Scholar]
  • 13.Lee C.C., Mankodi D., Shaharyar S., et al. High flow nasal cannula versus conventional oxygen therapy and non-invasive ventilation in adults with acute hypoxemic respiratory failure: a systematic review. Respir Med. 2016 Dec;121:100–108. doi: 10.1016/j.rmed.2016.11.004. [DOI] [PubMed] [Google Scholar]
  • 14.World Health Organization (WHO) World Health Organization; 2021. COVID-19 oxygen emergency impacting more than half a million people in low- and middle-income countries every day, as demand surges.https://www.who.int/news/item/25-02-2021-covid-19-oxygen-emergency-impacting-more-than-half-a-million-people-in-low--and-middle-income-countries-every-day-as-demand-surges Available: [accessed March 19, 2022] [Google Scholar]
  • 15.Toner Eric. John Hopkins Bloomberg School of Public Health; 2021. Potential solutions to the COVID-19 oxygen crisis in the United States.https://www.centerforhealthsecurity.org/resources/COVID-19/COVID-19-resources/210126-oxygen-memo.pdf Available: [accessed March 19, 2022] [Google Scholar]
  • 16.Grieco D.L., Menga L.S., Cesarano M., et al. Effect of helmet noninvasive ventilation vs high-flow nasal oxygen on days free of respiratory support in patients with COVID-19 and moderate to severe hypoxemic respiratory failure: the HENIVOT randomized clinical trial. JAMA. 2021 May 4;325(17):1731–1743. doi: 10.1001/jama.2021.4682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ospina-Tascón G.A., Calderón-Tapia L.E., García A.F., et al. Effect of high-flow oxygen therapy vs conventional oxygen therapy on invasive mechanical ventilation and clinical recovery in patients with severe COVID-19: a randomized clinical trial. JAMA. 2021 Dec 7;326(21):2161–2171. doi: 10.1001/jama.2021.20714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Perkins G.D., Ji C., Connolly B.A., et al. Effect of noninvasive respiratory strategies on intubation or mortality among patients with acute hypoxemic respiratory failure and COVID-19. The RECOVERY-RS randomized clinical trial. JAMA. 2022;327(6):546–558. doi: 10.1001/jama.2022.0028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Montrief T., Ramzy M., Long B., et al. COVID-19 respiratory support in the emergency department setting. Am J Emerg Med. 2020;38(10):2160–2168. doi: 10.1016/j.ajem.2020.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kumar A., Sinha C., Kumar A., et al. Low flow nasal oxygen supplementation in addition to non-rebreathing mask: an alternative to high flow nasal cannula oxygenation for acute hypoxemic COVID-19 patients in resource limited settings. Trends Anaesth Crit Care. 2021 Jun;38:24–25. doi: 10.1016/j.tacc.2021.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kabak M., Cil B. Feasibility of non-rebreather masks and nasal cannula as a substitute for high flow nasal oxygen in patients with severe COVID-19 infection. Acta Medica Mediterr. 2021;37(2):949–954. [Google Scholar]
  • 22.World Health Organization (WHO) World Health Organization; 2021. Living guidance for clinical management of COVID-19.https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-clinical-2021-2 Available: [accessed March 19, 2022] [Google Scholar]
  • 23.Austin P.C., Stuart E.A. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015 Dec 10;34(28):3661–3679. doi: 10.1002/sim.6607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ritchie J.E., Williams A.B., Gerard C., Hockey H. Evaluation of a humidified nasal high-flow oxygen system, using oxygraphy, capnography and measurement of upper airway pressures. Anaesth Intensive Care. 2011 Nov;39(6):1103–1110. doi: 10.1177/0310057X1103900620. [DOI] [PubMed] [Google Scholar]
  • 25.Tobin M.J., Laghi F., Jubran A. Caution about early intubation and mechanical ventilation in COVID-19. Ann Intensive Care. 2020 Jun 9;10(1):78. doi: 10.1186/s13613-020-00692-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Osuchowski M.F., Winkler M.S., Skirecki T., et al. The COVID-19 puzzle: deciphering pathophysiology and phenotypes of a new disease entity. Lancet Respir Med. 2021;9(6):622–642. doi: 10.1016/S2213-2600(21)00218-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Blez D., Soulier A., Bonnet F., et al. Monitoring of high-flow nasal cannula for SARS-CoV-2 severe pneumonia: less is more, better look at respiratory rate. Intensive Care Med. 2020 Nov;46(11):2094–2095. doi: 10.1007/s00134-020-06199-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Winck J.C., Scala R. Non-invasive respiratory support paths in hospitalized patients with COVID-19: proposal of an algorithm. Pulmonology. 2021 Jul-Aug;27(4):305–312. doi: 10.1016/j.pulmoe.2020.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kim M.C., Lee Y.J., Park J.S., et al. Simultaneous reduction of flow and fraction of inspired oxygen (FIO2) versus reduction of flow first or FIO2 first in patients ready to be weaned from high-flow nasal cannula oxygen therapy: study protocol for a randomized controlled trial (SLOWH trial) Trials. 2020 Jan 14;21(1):81. doi: 10.1186/s13063-019-4019-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Alhazzani W., Evans L., Alshamsi F., et al. Surviving sepsis campaign guidelines on the management of adults with coronavirus disease 2019 (COVID-19) in the ICU: first update. Crit Care Med. 2021 Mar 1;49(3):e219–e234. doi: 10.1097/ccm.0000000000004899. [DOI] [PubMed] [Google Scholar]

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