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Canadian Journal of Respiratory Therapy: CJRT = Revue Canadienne de la Thérapie Respiratoire : RCTR logoLink to Canadian Journal of Respiratory Therapy: CJRT = Revue Canadienne de la Thérapie Respiratoire : RCTR
. 2023 Jan 20;59:52–65. doi: 10.29390/cjrt-2022-005

Effectiveness of high-flow nasal cannula therapy on clinical outcomes in adults with COVID-19: A systematic review

Daiana Gonçalves Arruda 1, George Alvício Kieling 2, Lucélia Luna Melo-Diaz 2,
PMCID: PMC9854387  PMID: 36741308

Abstract

Introduction/Background

Coronavirus disease 2019 (COVID-19) has high transmissibility and mortality rates. High-flow nasal cannula therapy (HFNC) might reduce the need for orotracheal intubation, easing the burden on the health system caused by COVID-19. The objective of the present study was to examine the effectiveness of HFNC in adult patients hospitalized with COVID-19. Specifically, the present study explores the effects of HFNC on rates of mortality, intubation and intensive care units (ICU) length of stay. The present study also seeks to define predictors of success and failure of HFNC.

Methods

A systematic literature search was conducted in the PubMed, EMBASE and SCOPUS databases, and the study was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using the National Heart, Lung, and Blood Institute’s Study Quality Assessment Tools.

Results

The search identified 1,476 unique titles; 95 articles received full-text reviews and 40 studies were included in this review. HFNC was associated with a reduction in the rate of orotracheal intubation, notably when compared to conventional oxygen therapy. Studies reported inconsistency in whether HFNC reduced ICU length of stay or mortality rates. Among the predictors of HFNC failure/success, a ratio of oxygen saturation index of approximately 5 or more was associated with HFNC success.

Conclusion

In adult patients hospitalized with COVID-19, HFNC may prove effective in reducing the rate of orotracheal intubation. The ratio of the oxygen saturation index was the parameter most examined as a predictor of HFNC success. Low-level research designs, inherent study weaknesses and inconsistent findings made it impossible to conclude whether HFNC reduces ICU length of stay or mortality. Future studies should employ higher level research designs.

Keywords: COVID-19, intensive care units, intratracheal, intubation, nasal cannula, oxygen inhalation therapy, respiratory insufficiency

INTRODUCTION

The Coronavirus Disease 2019 (COVID-19), which is an infection caused by the new coronavirus (2019-nCoV or SARS-CoV-2), rapidly evolved to pandemic levels because of its high rate of transmissibility and mortality [1]. In its most severe form, this viral pneumonia may evolve into acute respiratory distress syndrome (ARDS), septic shock, metabolic disorders and coagulopathy [2].

Respiratory failure is the leading cause of death in patients with severe COVID-19. This occurs because of a combination of two factors: viral pneumonia and ARDS. Therefore, an adequate ventilatory support strategy is essential for the treatment of COVID-19 [3].

High-flow nasal cannula therapy (HFNC) is a viable approach to the treatment of mild to moderate hypoxemic respiratory failure helping to reverse respiratory acidosis [4]. HFNC provides a flow of up to 60 L/min of heated and humidified oxygen with accurate titration of FiO2 through a nasal cannula. The beneficial physiological effects include reducing oxygen dilution, reducing the physiological dead space, generating positive end-expiratory pressure, promoting secretion clearance and reducing the development of bronchial hyper-responsiveness symptoms, in addition to being more comfortable for the patient [5]; it can also reduce dyspnea [6].

Although the development of vaccines has reduced the number of deaths because of COVID-19 [7], the pandemic continues to be marked by individuals who commonly required intensive and specialized treatment, thus increasing the demand on the health system, generating a shortage of beds in intensive care units (ICU) [8], and consequently elevating health care costs. HFNC may be an effective resource, reducing the need for intubation and hospitalization time, thereby lessening the burden on the health system, particularly during the pandemic [9].

Since the beginning of the COVID-19 pandemic, many primary studies have explored clinical, service and safety outcomes associated with HFNC in patients with COVID-19 (10–32). Many of these studies are observational [10, 11) and possess methodological weaknesses [1221), making it challenging to draw conclusions about HFNC effectiveness, safety [22, 23) or appropriateness [24]. Therefore, the purpose of this systematic review was to synthesize evidence pertaining to the effectiveness of HFNC in adults hospitalized for treatment of COVID-19. Specifically, the present study seeks to define the effects of HFNC on rates of mortality, orotracheal intubation and on ICU length of stay. It also seeks to define the predictors of success and/or failure of HFNC in COVID-19 patients.

METHODS

This systematic review was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines [25]. The Population, Intervention, Comparison and Outcome (PICO) strategy was designed containing descriptors associated with the objectives of the study, as summarized in Table 1.

TABLE 1.

PICO strategy

P = (Population, patient) Older adult
Adult
COVID-19
Hospitalized patient
I = (Intervention) High-flow nasal cannula (HFNC)
C = (Comparison) -------------------------------
O = Outcomes Intubation rate
Mortality
Predictors of success/failure
Length of stay in the intensive care unit (ICU)

Search strategies

A keyword adherence test was used to optimize and filter the selected databases. The purpose of the test is to examine the frequency of appearance in absolute numbers, of a descriptor that is strongly linked to the proposed research topic in the most accessed health sciences databases [26]. The following databases were selected: PubMed, EMBASE and SCOPUS. An electronic search was conducted between May 11 and 13, 2022. The search strategy summarized in Table 2 used PubMed as an example. The same rationale was used for EMBASE and SCOPUS databases.

TABLE 2.

Search strategy used in PubMed

#1* “coronavirus disease 2019”
“severe acute respiratory syndrome coronavirus”
“2019 new coronavirus”
“sars-cov-2”
“human coronavirus 2019”
“COVID-19”
#2* “high-flow nasal cannula therapy”
“hfnc (high-flow nasal cannula)”
“hfnc assisted ventilation”
“hfnc therapy”
“hfnc ventilation”
“high flow nasal cannula respiratory support”
“high flow nasal cannula therapy”
“high flow nasal prong therapy”
Strategy #1 AND #2
Filters Humans; language: Portuguese, English, Spanish; year: 2019-2022; free and complete articles
*

Keywords joined by the Boolean operator “OR”.

Study selection

Study selection was independently conducted by two reviewers (DA & GK) according to the following inclusion criteria: 1) experimental (eg, randomized clinical trials) and observational studies (eg, prospective, retrospective and case-control studies) that were interventional; 2) full-text articles; 3) published between 2019 and 2022; 4) in English, Portuguese and Spanish; 5) studies with humans, limited to adults or older adults, hospitalized with COVID-19, using HFNC therapy; 6) with no restriction of race, sex or country. Individual studies contained in systematic reviews that appeared within the search strategy were examined separately as an additional selection (eg, outside of the search strategy). The exclusion criteria were 1) case studies and case series, comments, recommendations, letters to the editor and editorials; 2) studies containing protocols for randomized clinical trials; 3) descriptive studies; 4) studies with animals; and 5) incomplete studies and systematic reviews. The title and abstract of potentially eligible studies were read in full, according to the previously established criteria. Full-text articles were consulted when the information contained in the abstract was insufficient. Any discrepancies were mediated by a third reviewer (LM-D).

Data extraction

The ZOTERO and Access programs were used to manage data screening and extraction. All relevant data were extracted and organized in a table format. The methodological quality of the studies was assessed using the Study Quality Assessment Tools from the National Heart, Lung, and Blood Institute (NHLBI) [27]. It consists of 14 items, with each item being marked as “Yes”, “No” or “Not reported”. The “Yes” score is assigned a score of 1, while the other scores are assigned a score of 0. Therefore, the overall score represents the number of affirmative answers. For the qualitative assessment of the final scores, studies with scores above 12 were considered “good”, studies between 9 and 12 were considered “fair”, while those lower than 9 were considered “weak” [28]. The quality assessment was independently conducted by two authors (GK & LM-D). This systematic review was registered in The International Prospective Register of Systematic Reviews (PROSPERO) database (CRD420201270360).

RESULTS

Database searches yielded a total of 2,553 articles: 211 articles in PubMed, 878 articles in EMBASE and 1,464 articles in SCOPUS, published between 2020 and 2022. After excluding the duplicates, 1,476 articles remained. After the analysis of titles and abstracts, 581 potentially eligible articles remained. Following the analysis based on eligibility criteria, a total of 95 articles remained. During full-text review and data extraction, 55 were excluded for not meeting the eligibility criteria. A total of 40 studies were included in the review. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart illustrates the selection process (Figure 1).

FIGURE 1.

FIGURE 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart of study selection.

From the 40 studies included, 25 were observational retrospective, 13 were observational prospective and 2 were randomized controlled trials. A total of 18 studies were conducted in the ICU setting, 5 in a ward, 10 did not specify the location (hospital), 6 were conducted both in ICU and ward, and 1 in the emergency department. Five studies compared HFNC to conventional oxygen therapy, 8 compared the use of HFNC to invasive mechanical ventilation (eg, the first 24 h vs an early intubation approach or HFNC vs invasive mechanical ventilation), 3 compared HFNC to non-invasive ventilation (NIV), 1 compared HFNC to non-rebreather mask (NRM), 1 compared HFNC to helmet non-invasive ventilation (HNV), 6 compared HFNC to 3 or more forms of oxygen therapy (eg, continuous positive airway pressure [CPAP], NIV, HNV, NRM), 1 compared HFNC with and without use of medication (eg, tocilizumab) and 15 did not establish comparisons to other forms of oxygen therapy. Most of the studies [8] were conducted in China, followed by France, Spain and the United States (5 studies each), followed by Italy and Poland (2 studies each). Turkey, South Africa, Switzerland, Croatia, Saudi Arabia, Canada, Brazil, Germany, Mexico, the United Kingdom, India and Morocco had 1 study each. One was a multi-country study (France, Belgium and Switzerland). The number of participants in each study ranged between 16 [29] and 1,491 [30]. The mean interstudy age among patients who used HFNC ranged between 43.8 years [31] and 87 years [32]. Regarding the methodological quality, most of the studies (n=35) were classified as having fair quality, three studies were classified as having good quality and two studies were classified as having weak quality. The study characteristics and outcomes are summarized in Table 3.

TABLE 3.

Summary of the characteristics and outcomes of included studies

Study characteristics Intervention characteristics Outcome characteristics

Author/Year/Country Type of study/context Sample size/% males/mean age (±SD) Quality assessment Comparison Outcome variables Main findings (After statistical adjustments where applicable)
Hu et al, 2020
China
Observational retrospective/Ward Sample size: 105
% males: 48.6
Mean age: 64 years (±11.3)
11
Fair
N/A Predictors of success of HFNC Predictors of HFNC success: Young age (OR = 0.83; 95%CI = 0.75 – 0.940; P = 0.003), female sex (statistics for male sex: OR = 0.17; 95%CI = 0.03–0.79; P = 0.02), lower SOFA index (OR = 0.38; 95%CI = 0.20–0.74; P = 0.004), and ROX index > 5.55, at hour 6 (OR = 17.82; 95%CI = 3.74–84.90; P<0.001.)
Bonnet et al, 2020
France
Observational retrospective/ICU Total sample size: 128
HFNC
Sample size: 76
% males: 82
Median age: 60 years
COT
Sample size: 62
% males: 50
Median age: 60 years
10
Fair
HFNC × COT Proportion of patients who required IMV after ICU admission (ie, intubation rate) Mortality at day 28 and day 60 (12% vs 24%; OR = 0.52; 95%CI = 0.2–1.34; P = 0.17 and 16% vs 26%; OR = 0.75; 95%CI = 0.32–1.8; P = 0.52, respectively) and the length of stay in the ICU (11 days vs 12.5 days; difference -0.23; 95%CI = -0.54 to -0.08; P = 0.14) did not differ between HFNC and COT groups.
Mortality 28 days and 60 days after ICU admission In the HFNC group, 51% required IMV; in the COT group, 74% required IMV (P = 0.007). The HFNC group had significant lower risk for IMV compared to COT (OR = 0.31; 95%CI = 0.14–0.66; P = 0.002).
Length of stay in the ICU In the HFNC group, a ROX>4.88 was associated with low risk of intubation (OR = 0.23; 95%CI = 0.008–0.64; P = 0.006) and a higher SAPS II score was associated with higher risk of IMV (OR = 1.13; 95%CI = 1.06–1.20; P = 0.0002).
Mellado-Artigas et al,
2021
Spain
Observational prospective/ICU Total sample size: 122
HFNC
Sample size: 61
% males: 60
Mean age: 62 years (±11)
Early intubation
Sample size: 61
% males: 52%Mean age: 61(±11)
12
Fair
HFNC in the first 24 h × an early intubation approach in the first 24 h Length of stay in the ICU
Intubation
The use of HFNC remained associated with a shorter ICU length of stay (mean difference -9.4 days; 95%CI = -14.7 to -4.0) compared to an early intubation approach.
All-cause in-hospital mortality No difference in all-cause in-hospital mortality was found between the two groups (OR = 0.75; 95%CI = 0.22–2.55).
Sayan et al, 2021
Turkey
Observational retrospective/ICU Total sample size: 43
HFNC
Sample size: 24
% males: 70.8
Mean age: 63.3 years (±12.1)
COT
Sample size: 19
% males: 68.4
Mean age: 69.5 years (±12.3)
9
Fair
HFNC × COT Length of stay in the ICU
Intubation rate
No statistically significant difference was found in length of stay in the ICU between HFNC and COT groups (9.8 days±4.8 v. 9 days±7.9; P = 0.18, respectively).
Short-term mortality Intubation rate (54.2% vs 84.2%; P = 0.03) and short-term mortality (50% vs 84.2%; P = 0.01) were lower in the HFNC group compared to the COT group.
Wang et al, 2020
China
Observational retrospective/Hospital Sample size: 17
% males: 41
Mean age: 65 years (N/A)
7
Weak
N/A HFNC success or failure No HFNC failure was registered in patients with PaO2/FiO2>200 mmHg.
However, the failure rate was 64% in patients with PaO2/FiO2 ≤200 mmHg (P = 0.04).
Calligaro et al, 2020
South Africa
Observational prospective/ward and ICU Sample size: 293
% males: 56
Median age: 52 years
9
Fair
N/A Predictors of HFNC failure In multivariate analysis, poorly-controlled diabetes (adjusted HR = 1.56; 95%CI = 1.06 – 2.28; P = 0.023), treatment with steroids (adjusted HR = 0.25; 95%CI = 0.18–0.37; P<0.001), and the ROX index measured 6 h after therapy initiation (adjusted HR = 0.42; 95%CI = 0.33–0.53; P<0.001), were significantly associated with relative hazard of HFNC failure.
Xu et al, 2020
China
Observational retrospective/ICU Sample size: 324
% males: 67.6
Mean age: 63.2 years (±14.5)
11
Fair
N/A Predictors of HFNC failure Predictors independently associated with HFNC failure: Age >60 years (OR = 2.54; 95%CI = 1.39–4.65; P = 0.003); platelets <125 × 109/L; (OR = 3.18; 95%CI = 1.36–7.46; P = 0.008) interleukin 6>7.0 pg/mL (OR = 3.07; 95%CI = 1.67–5.62; P<0.001), and ROX index<5.5 within the first 4 h of HFNC initiation (OR = 5.92; 95%CI = 3.31–10.58; P<0.001). These four parameters had a strong predictive ability for the need of mechanical ventilation in patients treated with HFNC.
Teng et al, 2021
China
RCT/ICU Total sample size: 22
HFNC
Sample size: 12
% males: 66
Mean age: 56 years (±3)
COT
Sample size: 10
% males: 70
Mean age: 53 years (±5.5)
11
Fair
HFNC × COT Length of stay in the ICU The length of stay in the ICU was shorter and statistically significant in the HFNC group (4 days [±0.74]) compared to the COT group (4.9 days [±1] P = 0.02).
Duan et al, 2020
China
Observational retrospective/Ward and ICU Total sample size: 36
HFNC
Sample size: 23
% males: 52
Mean age: 65 years (±14)
NIV
Sample size: 13
% males: 92
Mean age: 50 years (±14)
10
Fair
HFNC × NIV Intubation rate
Mortality
Predictors of intubation
There was no difference in intubation rate (P>0.99) and mortality (P>0.99) between HFNC and NIV groups.
In multivariate analysis, only C-reactive protein was independently associated with intubation, and it had high distinguishing power to predict intubation (OR = 1.04; 95%CI = 1.01–1.07; P<0.01).
Xia et al, 2020
China
Observational retrospective/Hospital Sample size: 43
% males: 58.1
Mean age: 63 years (±9.7)
12
Fair
HFNC (success/failure) × IMV Predictors of HFNC failure (survivors × non-survivors)
Intubation rate
Hospital mortality rate
The hospital mortality rate was higher among those failed HFNC (65%) compared to those who succeeded (0%; P<0.001). In addition, mortality was also higher among those who failed HFNC and underwent endotracheal intubation (75%; P<0.001) compared to those who were intubated without HFCN treatment (66.7%; P<0.04).
Intubation rate was lower among those who succeeded HFNC (0%) compared to those who failed (65%; P<0.001).
Being male was independently associated with HFNC failure (OR = 6.94; 95%CI = 1.12–42.75; P = 0.03). In contrast, a high SpO2 value at admission was a protective factor associated with HFNC failure (OR = 0.56; 95%CI = 0.38–0.82; P = 0.03).
Survivors were associated with younger age (60.97 [±9.7] vs 69.9 [±6.0] years; P = 0.003), fewer dyspnea symptoms (37% vs 76.9%; P = 0.01), higher SpO2 (96% [93%–98%] vs 93% [91%–95%]; P = 0.04), and longer length of hospital stay (25.1 [±12.7] vs 10.8 [±4.7] days; P<0.001) compared to nonsurvivors.
Franco et al, 2020
Italy
Observational prospective/ Ward Total sample size: 670
HFNC
Sample size: 163
% males: 69.9
Mean age: 65.7 years (±14.7)
NIV
Sample size: 177
% males: 71.8
Mean age: 66.8 years (±13.5)
CPAP
Sample size: 330
% males: 67.6
Mean age: 70.3 years (±12.1)
12
Fair
HFNC × NIV × CPAP Intubation
30-day mortality rate
No statistically significant differences were found in intubation and mortality rates among patients treated with either type of oxygen therapy support, after adjusting for confounders (ie, age and number of comorbidities).
Chandel et al, 2021
United States
Observational retrospective/Ward and ICU Sample size: 272
% males: 66.2
Mean age: 57
(±13)
12
Fair
HFNC (success/failure)+Failure: intubation ≤48 h vs intubation ≥48 h Mortality
Predictors of HFNC success/failure
Length of stay in the ICU
Those who succeeded HFNC therapy were younger (54 [±14] years vs 60 [±13 years], P<0.001) and had no comorbidities (60 [36.6] vs 23 [21.3]*; P = 0.01) compared to those who failed. Additionally, those who succeed had less history of active cancer (1 [0.6] vs 6 [5.6]*; P = 0.02), lower initial SOFA score (2 [1–4] vs 4 [2–7], P<0.001), lower baseline lactate (1.5 [1.3–2.1] vs 1.9 [1.4–2.8]; P<0.005), lower pro-calcitonin (0.2 [0.1–0.5] vs 0.3 [0.1–1.0]; P = 0.033), and lower neutrophil to lymphocyte ratio (6.1 [3.9–1.60] vs 8.1 [4.9–12]; P = 0.02), and had a higher median ROX index at all-time points (2, 6 and 12 h; P<0.001) compared to those who failed HFNC therapy.
ROX index of >3.67 at 12 h had the diagnostic accuracy (AUC 0.78 [95%CI 0.72–0.84) for predicting therapy success (sensitivity = 84.1%, specificity = 49.4%).
Among those who succeeded HFNC within the first 12 h after HFNC initiation a ROX index>3.0 at each time point had good sensitivity and specificity for success (sensitivity = 85.3%; specificity = 51.1%) of HFNC success compared to those who failed the therapy.
Hospital mortality and length of stay in the ICU were only measured among those who failed the HFNC therapy (not in comparison to those who succeed). No statistically differences were found among those who were intubated with ≤48 h or ≥48 h.
Alshahrani et al, 2021
Saudi Arabia
Observational prospective/ICU Sample size: 44
% males: 86
Mean age: 57 years
(±14)
12
Fair
HFNC (success/failure) Predictors of success/failure
Mortality (30 days)
Higher SOFA score (HR = 1.42; 95%CI = 1.04–1.95; P = 0.02), and low ROX index (≥4.88) (HR = 0.61; 95%CI = 0.42–0.87; P = 0.008) were significant predictors of HFNC failure.
Length of stay in the ICU HFNC failure was significantly associated with higher in-hospital mortality (0% in succeed vs 52% in failure; P = 0.001) and longer ICU stay (6 days in success vs 11 days in failure; P = 0.04).
Beduneau et al, 2021
France
Observational retrospective/ICU Sample size: 43
% males: 72
Median age: 61 years (51.5–69.5)
9
Fair
HFNC success × failure (eg, intubation) Mortality (28 days)
Length of stay in the ICU
Compared to the ones who succeeded, those who failed had longer median length of stay in the ICU (28 [19–28]) vs 6 [3–8] days; P = 0.00001) and increased mortality (3 vs 0; P = 0.013).
Celejewska-Wójcik et al, 2021
Poland
Observational prospective/Hospital Sample size: 116
% males: 78.4
Median age: 61 years (51–70)
12
Fair
N/A Mortality or intubation (30 days)
(Composite measure)
Multivariate analysis showed that a ROX index below 3.85 was associated with increased mortality (HR = 6.1; 95%CI = 3.04–12.26), whereas the ROX index between 3.85 and 4.88 was not (HR = 1.46; 95%CI = 0.73–2.93), compared to ROX index of 4.88 or higher (as reference value).
Chavarria et al, 2021
Mexico
Observational prospective/Ward and ICU Sample size: 378
% males: 66.7
Median age: 54.5 years (46–64)
12
Fair
HFNC success × failure
(eg, intubation)
Intubation
Predictors of success/failure
Success rate was 71.4% (n = 270/95%CI = 66.6–75.8) compared to 28% (n = 108/95% CI = 24.2–33.4) of patients who failed and were intubated.
The difference in the ROX index between 2 and 16 h was statistically significant only among those who succeeded the HFNC (6.83 vs 8.20; P<0.0001), not among those who failed (5.88 vs 5.62; P = 0.91) the therapy.
The disease progression risk at admission (HR 1.27; 95%CI = 1.09–1.47; P<0.01), ROX index at 1 h (HR 0.82; 95%CI = 0.70–0.96; P = 0.02), and absence of treatment with steroids (HR 0.34; 95%CI = 0.19–0.62; P<0.0001) were predictors of HFNC failure.
Costa et al, 2022
Brazil
Observational retrospective/ICU Sample size: 37
% males: 70.3
Mean age: 68.8 years (±18)
9
Fair
HFNC × NIV Length of stay in the ICU
Mortality
Intubation rate
No significant differences were found in length of stay in the ICU, mortality and intubation rates among those who used HFNC or NIV.
Delbove et al, 2021
France
Observational retrospective/ICU Sample size: 46
% males: 76
Median age: 75 years (70–79)
11
Fair
HFNC success × DNIO × failure (eg, intubation) Length of stay in the ICU
Mortality
Compared to those who succeeded HFNC, those who failed spend longer days in the ICU (9 [7–13] vs 18 [14–25]; P<0.001).
No differences were found for hospital mortality.
Deng et al, 2021
China
Observational retrospective/hospital Sample size: 110
% males: 65
Median age: 71 years (65–89)
9
Fair
HFNC early × late treatment Length of stay in the ICU
Intubation rate
Mortality
Compared to those who received early HFNC treatment, those who received later HFNC treatment had longer length of stay in the ICU (12 days [10–15] vs 18 days [13–22]; P<0.001), required more intubation (4* vs 38*; P<0.001).
Multivariate analysis showed that mortality was associated with SpO2 (OR 1.27; 95%CI = 1.05–1.55; P = 0.01), lactate (OR 3.08; 95%CI = 1.37–6.94; P = 0.006), and PaO2/FiO2 at HFNC onset (OR = 2.03; 95%CI = 2.00–2.06; P = 0.02).
Duan et al, 2021
China
Observational retrospective/ICU and ward Sample size: 66
Success:
% males: 38
Median age: 63 years (±16)
Failure:
% males: 38
Median age: 73 years (±14)
12
Fair
HFNC success × failure (eg, intubation) Predictors of HFNC failure In multivariate analysis, the ROX index after 1 h (≤7.17) (OR = 0.65; 95%CI = 0.45–0.94; P = 0.02) and the SOFA score (OR = 2.16; 95%CI = 1.19–5.53; P = 0.02). Were independent predictors of HFNC failure (OR = 0.65; 95%CI = 0.45–0.94; P = 0.02).
Length of stay in the ICU Length of stay in the ICU and intubation rate did not differ among those who succeed and those who failed the therapy.
Intubation rate Mortality Mortality was higher among those who failed the therapy (28%) compared to those who succeeded (0%); P<0.01.
Ferrer et al, 2021
Spain
Observational prospective/Hospital Sample size: 85
% males: 69
Mean age: 64.51 years (±11.78)
13
Good
HFNC success × failure (eg, intubation) Predictors of HFNC success/failure (the ROX index) In adjusted multivariate analysis, the ROX index at 24 h (AUC = 0.82; 95%CI = 0.59– 1.00; P = 0.01) with a cut-off point of 5.35 was the best predictor of HFNC success.
Gaspic et al, 2021
Croatia
Observational prospective/Hospital Sample size: 102
% males: 71.6
Median age: 66 years (58–73)
12
Fair
N/A Mortality (and predictors) Multivariate analysis showed that Charlson Comorbity Index >4, a Rox index<4.11, LDB-WBC ratio, and age >65 years were the best predictors of in-hospital mortality among those using HFNC (AUC = 0.92; 0.80–0.98; P<0.001).
Grieco et al, 2021
Italy
RCT/ICU Sample size: 109
HNV:
% males: 77
Median age: 66 years (57–72)
HFNC:
% males: 84
Median age: 63 years (55–69)
11
Fair
HFNC × HNV Intubation
Mortality (in-hospital, 28-day, 60-day)
Length of stay in the ICU
After post-hoc multivariate analysis, the intubation rate was lower in the HNV group compared to HFNC (OR = 0.27; 95%CI = 0.10–0.70; P<0.02).
No statistically significant differences were found for mortality and length of stay in the ICU between both groups.
Hacquin et al, 2021
France
Observational retrospective/Ward Sample size: 67
NRM:
% males: 54
Median age: 86 years (84–89)
HFNC:
% males: 66
Median age: 87 years (85–90)
12
Fair
HFNC × NRM In-hospital 30-day survival After adjustments, HFNC was associated with increased survival at 30-day compared to NRM (HR = 0.57; 95%CI = 0.33–0.99; P = 0.04).
Although the majority of patients died within 10 days in both groups, HFNC was associated with increased 30-day survival (P = 0.03).
Hansen et al, 2021
USA
Observational prospective/Hospital Sample size: 91
% males: 58
Mean age: 68.4 years (±12)
12
Fair
HFNC × COT Mortality Multivariate analysis showed no difference in mortality rate between HFNC and COT (OR = 0.37; 95%CI = 0.12–1.15; P = 0.09).
Jarou et al, 2020
USA
Observational retrospective/ED Sample size: 123
% males: 64
Median age: 65 years (57–75)
12
Fair
HFNC available in the ED × HFNC not available in the ED Intubation (in the ED and 24 h after hospitalization)
Length of stay in the ICU
Survival
HFNC available in the ED was associated with reduced rate of intubation in the ED (46.4% vs 26.3%, P<0.001) and with a decrease in the cumulative proportion of patients who required intubation with 24 h of hospitalization (85.7% vs32.6%, P<0.001) and throughout the entire hospital stay (89.3% vs 48.4%, P<0.001) compared to those who did not have HFNC available in the ED.
No significant differences were found for ICU length of stay and survival.
Kerai et al, 2022
USA
Observational retrospective/ICU Sample size: 85
Success:
% males: 68.2
Mean age: 53.9 years (±14.53)
Failure:
% males: 65.9
Mean age: 60.5 years (±13.90)
11
Fair
HFNC success × failure Predictors of success/failure Higher SpO2 at baseline (OR = 0.83; 95%CI = 0.70–0.92; P = 0.02) and higher number of days on HFNC were associated decreased odds of failure (OR = 0.55; 95%CI = 0.33–0.93; P = 0.02). Not being in prone position was associated with increased odds of failure (OR = 4.55; 95%CI = 4.47–5.93; P = 0.006).
Nguyen et al, 2021
USA
Observational retrospective/Hospital Sample size: 104
% males: 57.7
Mean age: 67 years (±14.8)
11
Fair
HFNC success × failure 60-day mortality After multivariate analysis, HFNC failure was significantly associated with increased 60-day mortality (OR = 12.48; 95%CI = 4.07 – 38.28; P<0.001).
Suryawanshi et al, 2022
India
Observational prospective/Hospital Sample size: 90
HFNC:
% males: 76.7
Mean age: 43.8 years (±14.76)
NIV:
% males: 63.3
Mean age: 50.63 years (±15.32)
NRM:
% males: 57.7
Mean age: 35.8 years (±19.97)
9
Fair
HFNC × NIV × NRM Intubation
Mortality
Length of stay in the ICU
Intubation rate was higher among HFNC (16.7%) and NIV groups (20%), compared to NRM (0%) (P = 0.04).
Mortality was higher in the NIV group (20%) compared to HFNC (10%) and NRM (0%) groups (P<0.03).
No difference was found for the length of stay in the ICU between HFNC and NIV groups (No results were reported for NRM).
Sykies et al, 2021
United Kingdom
Observational prospective/Hospital Sample size: 140
% males: 65
Mean age: 71.2 years (±11.1)
9
Fair
HFNC × CPAP Mortality There was no difference in mortality between the CPAP and HFNC groups (58% vs 64%/P = 0.53.
Wendel-Garcia et al, 2022
Spain
Observational retrospective/ICU Sample size: 1,093
% males: 68
Median age: 63 years (54–70)
10
Fair
HFNC × NRM × NIV Intubation rate
Mortality
Intubation rate was significantly lower for the HFNC (HR = 0.45; 95%CI = 0.39–0.53; P<0.0001) and NIV (HR = 0.67; 95%CI = 0.53–0.85; P<0.0001) groups, compared to NRM.
Mortality was significantly lower for the HFNC (HR = 0.75; 95%CI = 0.58–0.98; P = 0.02) and NIV (HR = 1.21; 95%CI = 0.8–1.83; P = 0.02) groups, compared to NRM.
Age (HR = 1.08;95% CI = 1.06–1.1; P<0.001), BMI (HR = 1.03;95% CI = 1.01–1.1; P = 0.009), high levels of C-reactive protein (HR = 1.14;95% CI = 1.05–1.2; P = 0.003), procalcitonin (HR = 1.09;95% CI = 1.04–1.1; P<0.001), ferritin (HR = 1.39;95% CI = 1.2–1.6; P<0.001), D-dimers (HR = 1.14; 95% CI = 1.03–1.3; P = 0.009), and presence of chronic obstructive pulmonary disease (HR = 1.67 95%CI = 1.12–2.5; P = 0.01) were highly predictive of ICU mortality.
Mellado-Artigas et al, 2021
Spain
Observational prospective/ICU Sample size: 259
% males: 71
Median age: 62 (55–70)
11
Fair
Intubation rate
(28 days) (through SOFA score and ROX index)
After multivariate analysis, baseline non-respiratory SOFA score (OR = 1.78; 95%CI = 1.41–2.35), ROX index (OR = 0.53; 95%CI = 0.38–0.72) were associated with the need for intubation.
Ouissa et al, 2022
France
Observational retrospective/Ward Sample size: 110
% males: 58
Mean age: 55 (±11)
11
Fair
HFNC with tocilizumab × HFNC without tocilizumab Intubation rate
Mortality
The only risk factor associated with the unfavorable outcome (intubation rate and mortality) was the absence of tocilizumab prescription with an adjusted odds ratio (95%CI = 3.50 [1.40–8.69]; P = 0.007).
Panadero et al, 2020
Spain
Observational restrospective/Intermediate respiratory care unit Sample size: 40*
% males: 70
Mean age: 58.9 (11.8)
12
Fair
HFNC success × failure Intubation rate (30 days) (and the ROX Index as predictor of intubation) Twenty-one patients (52.5%) experienced therapy failure and required intubation at day 30.
The ROX index was shown to have good diagnostic performance in predicting the need for intubation (AUC = 0.712). The optimal cut-off point was an ROX value of 4.94, measured 2–6 h after starting therapy. In the survival analysis, a ROX value of less than 4.94 was associated with increased risk of intubation (HR 4.03; 95% CI = 1.18–13.7; P = 0.026).
Rorat et al, 2021
Poland
Observational retrospective/Ward Sample size: 200
% males: 67
Median age: 67.0 (60.0–74.0)
13
Good
HFNO × NIV × intubation Mortality Mortality in the group of patients treated with NIV was statistically significantly higher (HR = 2.20; 95%CI = 1.42–3.42; P<0.001) than when HFNO alone was used.
In patients intubated mortality was statistically significantly higher (HR = 2.39; 95%CI = 1.53–3.73; P<0.001) than when only HFNO was used.
No correlation was found between late intubation and the risk of death (P = 0.454).
Schmidt et al, 2022
Germany
Observational retrospective/ICU and ward Sample size: 16
% males: 68.7
Median age:
78.5 (61.25–81.0)
11
Fair
Group1: Efficient High-flow × Group2: High-flow failure Predictors of HFNC success and failure (FiO2, SpO2 and PaO2/FiO2 ratio)
Intubation rate
Mortality
ROC analyses identified FiO2 of > 0.58 (AUC 0.881; P = 0.022) to predict disease severity and consecutively HFNC failure on day 4.
In addition, persistent oxygen saturation <89% and PaO2/FiO2 ratio<91 on day 4 were identified as significant predictors for HFNC failure (AUC = 0.933; P = 0.018; and 0.893; P = 0.038, respectively).
In the HFNC group, 5 out of 9 (55.6%) patients died upon disease progression and HFNC failure (P = 0.017) (intubation rate).
Schmidt et al, 2021
France, Belgium and Switzerland
Observational prospective/ICU Sample size: 1,491
% males: 73
Median age: 63 (54–71)
13
Good
COT × HFNC × NIV Intubation rate
Mortality
Intubation rate: For standard oxygen, HFNC, and NIV, oxygenation failure rate was 49%, 48%, and 60% (P<0.001). In multivariate analysis, HFNC (OR = 0.60; 95%CI = 0.36–0.99; P = 0.013) but not NIV (OR = 1.57; 95%CI = 0.78–3.21) was associated with a reduction in oxygenation failure).
in multivariable analysis, HFNC was not associated with mortality (OR = 0.90; 95%CI 0.61–1.33), while NIV was associated with increased mortality (OR = 2.75, 95 CI = 1.79–4.21; P<0.001).
Schwartz et al, 2022
Canada
Observational retrospective/ICU Sample size: 142
% males: 71
Median age: 66 (59–73)
9
Fair
HFNC success × failure Intubation rate
Mortality
Intubated patients were older (mean [IQR] age, 70 [61–76] vs 65 [57–71] years; P = 0.02), had higher SOFA and 4C scores, and had worse oxygenation on the day of ICU admission (median [IQR] SpO2/FiO2 ratio 102 [88–144] vs 126 [108–182]; P = 0.01) compared with those who did not undergo intubation.
Cohort mortality was well predicted by the 4C score (10–14 subgroup analysis: 17.6% (95%CI = 9.8–25.4) and 15 subgroup analysis: 26.7% (95%CI = 10.8–42.5) compared to 31% and 62% respectively in the internal validation cohort of the report initially describing the 4C score.
Wendel Garcia et al, 2021
Switzerland
Observational restrospective/ICU Sample size: 351
% males: 73
Median age: 63 (55–72)
11
Fair
COT × HFNC × NIV × IMV Mortality
Intubation rate
The intubation rate was lower in patients initially ventilated with HFNC and NIV compared to those who received COT (COT: 64%, HFNC: 52%, NIV: 49%; P = 0.025).
Compared to the other respiratory support strategies, NIV was associated with a higher overall ICU mortality (COT: 18%, HFNC: 20%, NIV: 37%, IMV: 25%; P = 0.016).
Alkouh et al, 2022
Marroco
Observational retrospective/ICU Sample size: 265
HFNC:
% males: 72.2
Mean age: 66.32 (±12.8)
COT:
% males: 69
Mean age: 64.66 (±14.9)
8
Weak
HFNC × COT Mortality
Intubation rate
HFNC was associated with lower mortality rate compared to those who used COT and failed and required NIV (98.6% vs 100%; P<0.0001, respectively).
Neither HFNC nor NIV (those who failed COT) decreased the rate of mechanical ventilation (eg, intubation) (P = 0.08).

**If the PCR was not available, diagnosis was based on symptoms with compatible laboratory and radiology data and ARDS

*

Number of subjects.

95% CI 95% confidence interval; ARDS acute respiratory distress syndrome; AUC area under the curve; COT conventional oxygen therapy; CPAP continuous positive airway pressure; DNIO do not intubate order; ED emergency department; HFNC high-flow nasal cannula; HNV helmet noninvasive ventilation; HR hazard ratio; ICU intensive care unit; IMV invasive mechanical ventilation; N/A not applicable; NIV non-invasive ventilation; NRM non-rebreather mask; OR odds ratio; PaO2/FiO2 partial pressure of oxygen/fraction of inspired oxygen; RCT randomized controlled trial; ROX ratio of oxygen saturation; SOFA sepsis-related organ failure assessment.

The outcome “mortality” was evaluated in the majority (n=30) of studies [2958). Several studies compared mortality rates among those who were successfully managed with HFNC (ie, were weaned off HFNC) and those who failed. Most of these studies determined that HFNC failures [29, 37, 40, 41, 46, 51] were associated with higher rates of mortality. One study reported opposite findings [44], and another determined that the availability of HFNC in the emergency department was not associated with increased survival [50].

Regarding the type of oxygen therapy used, contrasting results were reported. Four studies reported that mortality was lower in patients who used HFNC compared to those who used conventional oxygen therapy [35, 58] and NRMs [32, 53]. However, studies with better methodological quality (n=8) found that mortality rate did not differ between those who used HFNC and those who used conventional oxygen therapy [33, 49], HNV [48], CPAP [38, 52] or NIV [36, 38, 43]. Four studies found that mortality was higher among those who used NIV compared to those who used HFNC [30, 31, 55, 57].

Orotracheal intubation rate was analysed in 22 studies [2931, 3338, 43, 45, 46, 48, 50, 53, 54, 5661], and in 12 of these studies, HFNC was associated with a reduction of orotracheal intubations. From these, five studies revealed that intubation rate was lower among those who were successfully managed with HFNC compared to those who failed it [29, 37, 59]. The need for intubation was also lower in those who received early HFNC treatment compared to those who received later treatment [45] or who had HFNC available in the emergency department [50]. The remaining seven studies revealed a decrease in intubation rate among those who used the HFNC compared to those who used either conventional oxygen therapy [33, 35, 57), NRM [31, 53], NIV [30] or early intubation approach [34]. However, the effectiveness of the HFNC in reducing orotracheal intubation may be comparable to that of the NIV, as five studies revealed no difference in intubation rates between the groups that used the HFNC compared to the NIV [36, 38, 43, 58] or CPAP [38]. Only one study compared the use of HNV therapy with HFNC and reported lower intubation rates among those who received HNV compared to those who received HFNC [48].

The outcome “predictors of HFNC success/failure” were examined in 12 studies [2, 29, 37, 39, 40, 46, 59, 6266]. The ratio of oxygen saturation (ROX) index [67], measured at different intervals, was the most often described potential predictor of HFNC success. In one study, a ROX index ≤ 7.17 within the first hour of therapy was predictive of HFNC failure [46], while a second study reported that a ROX index less than 5.5 within the first 4 h was predictive of HFNC failure [64]. Hu et al [62] and Calligaro et al [63] examined the ROX index, within the first 6 h of therapy, and showed that ROX indexes above 5.55 and above 3.26, respectively, were significantly associated with HFNC success. Chandel et al [39] showed that ROX index greater than 3.0, measured at several time points (ie, 2, 6 and 12 h) and at 12 h greater than 3.67 were significantly predictive of HFNC success. Similarly, Chavarria et al [59] found a statistically significant difference in ROX index scores, measured at 2 and 16 h post HFNC initiation, in those who succeeded the HFNC (6.83 vs 8.20) but not among those who failed it (5.88 vs 5.62). Ferrer et al [65] reported that a ROX index cut-off of 5.35, measured at 24 h, was the best predictor of HFNC success.

In addition to the ROX index, additional parameters such as age, sex, disease severity index, vital signs, ventilation/perfusion (P/F) ratio, blood sample parameters, comorbidities and drug treatment were also investigated as potential predictors of HFNC success or failure. Young age [37, 39, 62] and female gender [37, 62] were independent predictors of success. In contrast, advanced age was a predictor of failure [37, 64]. Regarding disease severity, a lower sepsis-related organ failure assessment (SOFA) score [68] was a predictor of HFNC success [39, 62], while a higher SOFA score was associated with HFNC therapy failure [40, 46].

Regarding vital signs and PF ratio, it was found that a higher SpO2 at admission [37, 66] or in the first 6 h of HFNC [63] and a P/F ratio greater than 200 mmHg were significantly associated with HFNC success [2] or survival [37]. In contrast, a persistent SpO2 less than 89% and a P/F ratio of less than 91, 4 days after therapy initiation, were associated with therapy failure [29].

In relation to blood sample parameters, elevated interleukin-6 [64] and C-reactive protein [36], in addition to thrombocytopenia [64], were independent predictors of HFNC failure. Chandel et al [39] showed that higher lactate, higher procalcitonin and a lower neutrophil to lymphocyte ratio were associated with HFNC failure. Regarding comorbidities, poorly controlled diabetes represented by glycated hemoglobin (HbA1c > 8%) [63] and a history of active cancer [39] were predictors of HFNC failure. Finally, in relation to medications, steroid treatment had conflicting results. Calligaro et al [63] showed that steroid treatment was a predictor of HFNC failure, while Chavarria et al [59] found that the absence of treatment with steroids was a predictor of HFNC failure.

The effects of HFNC on ICU “length of stay” was examined in 14 studies [31, 3335, 3941, 4346, 48, 50, 69]. Some studies showed that persons who failed HFNC [40, 41, 44] or who received HFNC at later points in the course of their disease [45] had significant longer ICU stays when compared to those who succeeded HFNC (ie, were weaned off HFNC). Other studies found no difference [46, 50]. Mellado-Artigas et al [34] found that those treated with the HFNC had shorter ICU length of stays compared to those receiving an early intubation approach, whereas Chandel et al [39] found no difference in ICU length of stay among persons intubated 48 h before or after HFNC initiation. Regarding the type of oxygen therapy utilized, no differences in ICU length of stay were reported in studies that compared HFNC to NIV [31, 43] or HNV [48]. Furthermore, although one study found that patients treated with HFNC had a significant reduction in ICU length of stay [69], compared to those who were treated with conventional oxygen therapy, two other studies found no difference [33, 35].

DISCUSSION

The purpose of this systematic review was to synthesize the evidence pertaining to the effectiveness of HFNC on select clinical outcomes in adults hospitalized with COVID-19. The most examined outcomes were mortality followed by orotracheal intubation rates. Although select studies demonstrated positive associations between HFNC failure and mortality rates, this finding was not consistent across all studies. It is important to note that COVID-19 disease severity and co-morbidities were not accounted for in most of the included studies. Additionally, there is a lack of agreement across studies as to whether HFNC, compared to other types of oxygen therapy, is more effective in lowering the rates of mortality. For example, several studies showed no difference in mortality between those treated with the HFNC versus conventional oxygen therapy [7072], whereas others showed that non-invasive oxygen therapy, including the HFNC, was associated with a lower risk of death [73]. Perhaps part of this inconsistency may be explained by the variety of time intervals for this particular outcome (eg, 30-day, 60-day, in-hospital and all-cause mortality).

The present study showed that the orotracheal intubation rate was lower among those for whom HFNC was successful (ie, successful weaning from HFNC) when compared to those who failed it. It also suggests that, when compared to other forms of oxygen therapy (ie, particularly conventional oxygen therapy), HFNC may be more effective in reducing oral intubation rates [70, 71]. However, compared with NIV, no differences in intubation rates were found [74, 75].

Regarding the predictors of HFNC success and failure, the ROX index, assessed at different time intervals, was the most commonly assessed measure. It was generally found that maintaining the ROX index around 5 was the best predictor of HFNC success. Recent studies, including two systematic reviews, have examined cut-off values for the ROX index at different time intervals, and determined that higher ROX index values were associated with greater chances of HFNC success and a lower risk of mortality [65, 76]. Ferrer et al [65] showed that a ROX index cut-off of 5.35 measured at 24 h post HFNC initiation was associated with HFNC success in COVID-19 patients, and Zucman et al [16] showed that a ROX index of greater than 5.37 in the first 4 h of HFNC was associated with a lower risk of intubation. Zhou et al [77] has shown that a range of ROX index values between 4.2 and 5.4, within 12 h of HFNC initiation, are predictive of HFNC success. In addition, in patients with hypoxemic respiratory failure because of pneumonia/ARDS, a ROX index greater than 4.88 measured at 2, 6 and 12 h post HFNC initiation was associated with a lower risk of HFNC failure [78]. These findings corroborate the results of this review, with the ROX index being a potentially valuable tool for predicting the failure of HFNC, and consequently the need for orotracheal intubation in patients with respiratory failure.

Younger age, female gender, lower SOFA scores and greater oxygenation profile were also described as predictors of the HFNC success; however, the evidence is limited by the small number of studies. Advanced age was shown to be a predictor of HFNC failure, and this finding has been supported by other studies. Lee et al [79] examined the clinical characteristics, the risk factors for mortality and the need for either mechanical ventilation or HFNC in older patients hospitalized with COVID-19. Results showed that patients with advanced age had a higher risk of need for mechanical ventilation or HFNC, in addition to a higher mortality risk, particularly in those over 80 and with comorbidities. Other studies have also shown an association between advanced age, especially over 70, and greater disease severity and mortality from COVD-19 [80, 81], speculating on a possible association between advanced age and oxygen therapy failure.

In the present study, we identified conflicting evidence regarding whether HFNC reduces ICU length of stay. The lack of consensus across studies prevented conclusions from being made. Nevertheless, there is emerging evidence, although still limited, suggesting that the ICU length of stay does not change regardless of the type of oxygen therapy utilized, whether it is HFNC, NIV or HNV. This finding was also supported by a prior systematic review [82], and future studies are strongly recommended.

The strengths of this systematic review include 1) a literature search in pre-selected databases through an adherence test, thus maximizing the chances of selecting studies relevant to the research topic; 2) the inclusion of four clinical outcomes widening the understanding of the HFNC’s effectiveness, including a comparison among other forms of oxygen therapy. The present study had some limitations that must be acknowledged. Many of the included studies did not assess the severity of the hypoxemia or of COVID-19 itself. Therefore, it was not possible to determine the effectiveness of the HFNC in the context of COVID-19 severity. Depending on the severity of the hypoxemia caused by COVID-19, it is possible that the patient’s condition will naturally worsen, leading to the need for orotracheal intubation, regardless of the type of oxygen therapy previously used [83].

Regarding inclusion/exclusion criteria and study selection, Chinese language studies were not included; therefore, it is possible that some studies were not included. The “grey” literature was not searched. Most of the studies included in this review were observational and retrospective. The low number of randomized controlled trials and the lower quality of many of the included observational studies reduce the strength of the evidence. Furthermore, the COVID-19 pandemic is still ongoing, and additional studies are likely to be published during the conduction of this systematic review.

Future randomized controlled trials are strongly recommended. Studies should consider the role of comorbidities and COVID-19 disease severity when seeking to determine the effectiveness of HFNC.

CONCLUSION

The use of HFNC in patients with respiratory failure because of COVID-19 may provide an effective approach to reducing the rate of orotracheal intubation, notably when compared to the use of conventional oxygen therapy, but not to NIV. Further studies that include consideration of the severity of COVID-19 disease and patient co-morbidities on HFNC ability to reduce intubation are warranted. Among predictors of HFNC success and failure, the ROX index was the parameter most examined. Current evidence does not support the determination of HFNC’s ability to reduce ICU length of stay or mortality.

DISCLOSURES

Contributions

Dr M-D and Spec. K. designed the present study. Miss A searched the literature and performed data analysis. Dr M-D and Spec. K performed the data interpretation. Miss A drafted the manuscript. Dr M-D and Spec. K reviewed and revised the manuscript. All authors approved the final draft before submission.

Competing interests

All authors have completed the ICMJE uniform disclosure form and declare no conflict of interest.

Funding

The present study did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Ethical approval

Not required for this article type.

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