# High-Flow Nasal Cannula in Hypercapnic Respiratory Failure: A Systematic Review and Meta-Analysis

Authors: Yongkang Huang; Wei Lei; Wenyu Zhang; Jian-an Huang
Journal: Canadian Respiratory Journal
 (2020)

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## Abstract

Background. Although the efficacy and safety of high-flow nasal cannula (HFNC) in hypoxemic respiratory failure are widely recognized, it is yet unclear whether HFNC can effectively reduce the intubation rate and mortality in hypercapnic respiratory failure. We performed a systematic review and meta-analysis to assess the safety and efficiency of HFNC in these patients. Methods. A systematic search of PubMed, Embase, and Cochrane Library (CENTRAL) was carried out. Two reviewers independently screened all references according to the inclusion criteria. We used the Cochrane risk-of-bias tool and the Newcastle–Ottawa Quality Assessment Scale to assess the quality of randomized controlled trials (RCTs) and cohort studies, respectively. Data from eligible trials were extracted for the meta-analysis. Results. Eight studies with a total of 621 participants were included (six RCTs and two cohort studies). Our analysis showed that HFNC is noninferior to noninvasive ventilation (NIV) with respect to intubation rate in both RCTs (OR = 0.92, 95% CI: 0.45–1.88) and cohort studies (OR = 0.94, 95% CI: 0.55–1.62). Similarly, the analysis of cohort studies showed no difference in reducing mortality rates (OR = 0.96, 95% CI: 0.42–2.20). Based on RCTs, NIV seemed more effective in reducing mortality (OR = 1.33, 95% CI: 0.68–2.60), but the intertreatment difference was not statistically signiﬁcant. Furthermore, no significant differences were found between HFNC and NIV relating to change of blood gas analysis or respiratory rate (MD = −0.75, 95% CI: −2.6 to 1.09). Likewise, no significant intergroup differences were found with regard to intensive care unit stay (SMD = −0.07, 95% CI: 0.26 to 0.11). Due to a physiological friendly interface and variation, HFNC showed a significant advantage over NIV in patients’ comfort and complication of therapy. Conclusion. Despite the limitations noted, HFNC may be an effective and safe alternative to prevent endotracheal intubation and mortality when NIV is unsuitable in mild-to-moderate hypercapnia. Further high-quality studies are needed to validate these findings.


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## Body

## 1. Introduction

Respiratory failure, which can occur due to several different diseases and conditions, is a common syndrome occurring in the intensive care unit (ICU) [1]. Endotracheal intubation is usually performed only when the patient is deteriorating despite optimal drug and common oxygen therapy, and it often results in extra medical expenses, longer hospital stay, and even higher mortality [2, 3]. Thus, it is crucial to protect patients from acute respiratory failure and avoid, as far as possible, invasive mechanical ventilation.Noninvasive ventilation (NIV) is recommended by guidelines to avoid intubation and improve outcomes [4]. However, many patients who need respiratory support may be excluded by the technicians for comorbidities such as emphysema and oversecretion of sputum [5, 6]. Besides the contraindications, higher expenditure and numerous potential adverse events are presented during NIV, such as skin damage, eye irritation, interface intolerance, diet, and sputum retention, which cause discomfort and may lead to the termination of NIV to some extent [7].High-flow nasal cannula (HFNC) is a simple system composed of an air-oxygen blender, active heated humidifier, single heated circuit, and nasal cannula and can deliver high-rate humidified oxygen (up to 60 L/min) through a nasal cannula. It has been deemed an effective and less costly alternative among children to alleviate respiratory distress and prevent extubation failure [8, 9]. In recent years, HFNC has become increasingly popular in the treatment of respiratory failure in adults [10]. HFNC is reportedly superior to conventional oxygen therapy and can be as effective as NIV in patients with acute hypoxemic respiratory failure [11]. However, it is still unclear whether HFNC is an effective tool to reduce the intubation rate and mortality in patients suffering from hypercapnic respiratory failure.


## 2. Methods

This systematic review and meta-analysis was registered at PROSPERO (http://www.crd.york.ac.uk/prospero; CRD: 42020173744) and designed as per the Cochrane Handbook for Systematic Reviews of Interventions [12] and reported according to the PRISMA guidelines.


### 2.1. Literature Searching Strategy

We performed a comprehensive search of electronic databases including PubMed, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) up to May 2020, using the keywords and their synonyms, and the search was updated on September 12, 2020. Terms were related to the intervention and modified according to each database’s index term, such as Medical Subject Heading (MeSH) and Emtree. No language restrictions or publication year were applied when searching PubMed and CENTRAL, while it was limited to clinical studies on humans on Embase. Relevant citations from the references listed in each identified study were also taken into consideration for eligibility. Detailed search terms are shown in Appendix 1 (Supplementary Materials (available here)).


### 2.2. Inclusion and Exclusion Criteria

Studies in our review had to meet all of the following criteria:(1)
Type of participants: participants must be adults (age >16 years) with acute hypercapnic respiratory failure (PaCO2 > 45 mmHg)(2)
Type of intervention and comparator: comparing HFNC with NIV(3)
Type of studies: a randomized controlled trial (RCT) or a cohort study(4)
Containing any one of the following outcomes: intubation rate; mortality; blood gas analysis (arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), and pH); respiratory rate, patient comfort; and complication of the therapyExclusion criteria:(1)
Studies with the same data or overlapping data by the same authors(2)
Studies without any one of the predetermined outcomes


### 2.3. Quality Assessment

The quality of all selected studies was assessed independently by two reviewers (HYK and ZWY). RCTs were evaluated according to the Cochrane risk-of-bias tool which includes the following items: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases. On the contrary, a cohort study was graded according to the Newcastle–Ottawa Quality Assessment Scale [13] with regard to selection, comparability, and outcome.


### 2.4. Data Extraction

Two researchers (HYK and ZWY) independently extracted the following data from each study: characters of the study (first author, publication year, country, number of participants, case source, cause of hypercapnic respiratory failure, and major inclusion criteria); characters of the participants (demographic variation and basic blood gas analysis); and the primary and secondary outcomes. Any disagreements between the two authors were resolved by consensus or cross-checking with a third author (LW). Additional information was collected through communication with the principal investigator by email if necessary.


### 2.5. Data Analysis

Statistical analysis was performed by an independent researcher adept in statistics using Cochrane systematic review software Review Manager (RevMan; version 5.4.0; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, 2014). Continuous variables were reported as mean and standard derivation (SD), while dichotomous variables were shown as frequency or proportion. The results were displayed in forest plots. An initial test for clinical, methodological, and statistical heterogeneities was conducted, and we used the chi-square test withP<0.1 and I2 > 50% to indicate statistical significance. Random-effect model was applied in the presence of statistical heterogeneity; otherwise, the fixed-effect model was chosen. For continuous data, we calculated the mean difference (MD) or standard mean difference (MD) and 95% confidence interval (CI), and for dichotomous data, we calculated the odds ratio (OR) and 95% CI.


## 2.1. Literature Searching Strategy

We performed a comprehensive search of electronic databases including PubMed, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) up to May 2020, using the keywords and their synonyms, and the search was updated on September 12, 2020. Terms were related to the intervention and modified according to each database’s index term, such as Medical Subject Heading (MeSH) and Emtree. No language restrictions or publication year were applied when searching PubMed and CENTRAL, while it was limited to clinical studies on humans on Embase. Relevant citations from the references listed in each identified study were also taken into consideration for eligibility. Detailed search terms are shown in Appendix 1 (Supplementary Materials (available here)).


## 2.2. Inclusion and Exclusion Criteria

Studies in our review had to meet all of the following criteria:(1)
Type of participants: participants must be adults (age >16 years) with acute hypercapnic respiratory failure (PaCO2 > 45 mmHg)(2)
Type of intervention and comparator: comparing HFNC with NIV(3)
Type of studies: a randomized controlled trial (RCT) or a cohort study(4)
Containing any one of the following outcomes: intubation rate; mortality; blood gas analysis (arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), and pH); respiratory rate, patient comfort; and complication of the therapyExclusion criteria:(1)
Studies with the same data or overlapping data by the same authors(2)
Studies without any one of the predetermined outcomes


## 2.3. Quality Assessment

The quality of all selected studies was assessed independently by two reviewers (HYK and ZWY). RCTs were evaluated according to the Cochrane risk-of-bias tool which includes the following items: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases. On the contrary, a cohort study was graded according to the Newcastle–Ottawa Quality Assessment Scale [13] with regard to selection, comparability, and outcome.


## 2.4. Data Extraction

Two researchers (HYK and ZWY) independently extracted the following data from each study: characters of the study (first author, publication year, country, number of participants, case source, cause of hypercapnic respiratory failure, and major inclusion criteria); characters of the participants (demographic variation and basic blood gas analysis); and the primary and secondary outcomes. Any disagreements between the two authors were resolved by consensus or cross-checking with a third author (LW). Additional information was collected through communication with the principal investigator by email if necessary.


## 2.5. Data Analysis

Statistical analysis was performed by an independent researcher adept in statistics using Cochrane systematic review software Review Manager (RevMan; version 5.4.0; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, 2014). Continuous variables were reported as mean and standard derivation (SD), while dichotomous variables were shown as frequency or proportion. The results were displayed in forest plots. An initial test for clinical, methodological, and statistical heterogeneities was conducted, and we used the chi-square test withP<0.1 and I2 > 50% to indicate statistical significance. Random-effect model was applied in the presence of statistical heterogeneity; otherwise, the fixed-effect model was chosen. For continuous data, we calculated the mean difference (MD) or standard mean difference (MD) and 95% confidence interval (CI), and for dichotomous data, we calculated the odds ratio (OR) and 95% CI.


## 3. Results

### 3.1. Study Selection and Characteristics

In all, 595 citations were retrieved through literature search. We excluded 150 duplicates identified by the title and authors and omitted 423 studies that did not fulfill the inclusion criteria. We tried to obtain the full text of the remaining 22 searches. Finally, eight studies, comprising six parallel RCTs [14–19] and two cohort studies [20, 21], involving 621 participants were enrolled in the analysis. The flowchart of the study is shown in Figure 1.Figure 1
Study flow.Tan et al. conducted their study in two large tertiary care hospitals, while the remaining studies included were all carried out in a single center. Seven studies were performed in Asia and one in Greece. Most patients were admitted to the ICU or respiratory ICU. Three of six RCTs recruited only extubated patients, while patients with acute-exacerbation chronic obstructive pulmonary disease (AECOPD) were the main cause of hypercapnic respiratory failure in another two RCTs and both cohort studies. One study did not mention the cause of admittance. Characteristics of the participants and studies are shown in Tables1–3, respectively.Table 1
Characteristics of cohort studies.
Authors, yearParticipates of the cohort (HFNC/NIV)Case sourceCause of hypercapnic respiratory failureFollow-up (days)LocationMajor inclusive criteriaInitial indications of HFNCInitial indications of NIVPrimary outcomeNOS scoresSun et al., 201939/43ICUAECOPD or pulmonary infection with COPD28ChinaCOPD or acute respiratory failure by a secondary diagnosis of COPD with a respiratory acidosis (pH ≤ 7.35 and PaCO2 ≥ 50 mmHg)Initial FiO2 in the HFNC group was 0.3 (0.2–0.4), and the gas flow rate was 50 L/min (40–50).Initial FiO2 in the NIV group was 0.4 (0.3–0.6), inspiratory airway pressure was 10 cm H2O (8–12), and expiratory airway pressure was 4 cm H2O (4-5). Mean expiratory tidal volume during the first 24 hrs of NIV treatment was 5.4 ± 2.4 ml/kg of predicted body weight.Treatment failure and 28-day mortality5Lee et al., 201844/44Respiratory wardAECOPD30South KoreaAECOPD with moderate hypercapnic acute respiratory failure ((PaO2)/FiO2 < 200 mmHg, PaCO2 > 45 mmHg, and 7.25 < pH < 7.35 on room air)Beginning with FiO2 > 50% and a flow of 35 L/min and then titrating flow to 45–60 L/min if tolerated. FiO2 was subsequently adjusted to maintain an oxygen saturation of 92% or more.The expiratory pressure was set at 5 cm H2O pressure, and inspiratory pressure was initially set at 10 cm H2O and then increased in increments of 2–4 to 20 cm H2O or the maximum tolerated over 1 hour. The BiPAP level was adjusted to maintain an oxygen saturation of 92% or more.Intubation rate and 30-day mortality6Table 2
Characteristics of the RCTs.
Authors, yearCase sourceSubjectsMajor inclusive criteriaFollow-up (days)LocationOutcomeIndications of HFNCIndications of NIVTrial registration numberJing et al., 2018—42Patients with hypercapnia (PaCO2 > 45 mmHg) at the time of extubation and met the “pulmonary infection control window” criteria28ChinaThe primary outcome parameters were ABG analysis and vital signs. Secondary outcomes included duration of respiratory support, length of ICU stay, the patients’ comfort score, and incidence of adverse events.The humidifier temperature was set at 37°C, and the fraction of inspired oxygen was adjusted to maintain oxygen saturation recorded by pulse oximetry (SpO2) at 88–92%.The IPAP was initiated at 10–12 cm H2O, EPAP started at 4-5 cm H2O, and subsequent adjustments were based on the patients’ ABGs.ClinicalTrials (NCT03458364)Yu et al., 2019ICU72Extubation patients with hypercapnia (PaCO2 > 50 mmHg)Not mentionedChinaThe ABG, respiratory rate, heart rate, mean arterial pressure, reintubation rate, mortality, intensive care unit stay, and incidence of adverse events.The humidifier temperature was set at 37°C, and the fraction of inspired oxygen was adjusted according to ABGs and patients’ symptoms and signs.The IPAP was initiated at 10～14 cm H2O, and EPAP was 4～6 cm H2O. Variables were adjusted according to ABGs and patients’ symptoms and signs.NoWang et al., 2019RICU43AECOPD patients with hypercapnic respiratory failure28ChinaThe treatment failure rate, tracheal intubation rate, complications, and 28-day survival rate.Both the flow rate and the fraction of inspired oxygen were according to ABGs and patients’ symptoms and signs.Both IPAP and EPAP were adjusted according to ABGs and patients’ symptoms and signs.NoCong et al., 2019ICU168AECOPD patientsNot mentionedChinaThe primary endpoint was ABG analysis. Secondary clinical endpoints included ventilation support time, hospitalization days and complications, comfort, and nursing satisfaction.The air temperature was set at 37°C at a flow rate of 30–35 L/min.The IPAP was set at 10 cm H2O, and EPAP was set at 5 cm H2O at the beginning and gradually increased after the patient adapted. Patients’ symptoms and signs were monitored, and FiO2 was adjusted to ensure oxygen saturation2.NoTan et al, 2020ICU86Extubation patients with COPD patients with hypercapnic respiratory failure28ChinaThe primary endpoint was treatment failure. Secondary outcomes included arterial blood gas analysis and vital signs.The initial airflow was set at 50 L/min and adjusted according to patient tolerance. The HFNC was set to an absolute humidity of 44 mg H2O/L, temperature was set to 37°C, and FiO2 was adjusted to maintain an SpO2 of 88–92%.The initial EPAP was set to 4 cm H2O, while the IPAP was initially set to 8 cm H2O. The pressure level was gradually increased to achieve a satisfactory tidal volume with acceptable tolerance. The pressure level and the fraction of inspiration oxygen (FiO2) were adjusted to maintain 88–92% SpO2.Chictr.org (ChiCTR1800018530)Papachatzakis et al., 2020ED40Patients suffering acute respiratory failure type 2Not mentionedGreeceEndpoints were intubation and mortality rate, length of hospitalization, duration of therapy, and possible differences between vital signs, ABGs, and comfort.The initial airflow was set at a flow of 35 L/min, titrating flow upward if tolerated to 45–50 L/min, in order to maintain SaO2 > 90% or according to specific clinical orders.Expiratory and inspiratory pressures were gradually increased to the maximum tolerated over 1 h, in order to maintain SaO2 > 90%, or according to specific clinical orders.NoED: emergency department; IPAP: inspiratory positive airway pressure; EPAP: expiratory pressure airway pressure; ABG: arterial blood gases.Table 3
Characteristics of the participants.
Authors, yearAge (years)Gender (male/total)APACHE II scoreRespiratory rates (times/minute)pHPaO2 (mmHg) or PaO2/FiO2∗(mmHg)PaCO2 (mmHg)Respiratory support duration (days or hours∗)HFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVRCTsJing et al., 201877.4 ± 6.873.9 ± 6.9?/22?/2011.8 ± 3.110.42.518.3 ± 3.519.2 ± 4.17.46 ± 0.047.44 ± 0.06235.8 ± 77.0∗250.8 ± 75.8∗52.4 ± 6.453.7 ± 8.62.73 ± 1.954.07 ± 4.40Yu et al., 201962.4 ± 10.163.5 ± 11.224/3621/3628.6 ± 2.828.5 ± 3.432 ± 4.433 ± 4.37.26 ± 0.037.26 ± 0.0356.84 ± 2.7756.92 ± 2.8973.56 ± 6.973.5 ± 6.23——Wang et al., 201971.26 ± 7.3972.85 ± 6.6513/2312/2018.35 ± 2.1918.9 ± 2.5930.91 ± 2.1330.35 ± 2.687.23 ± 0.197.24 ± 0.0257.17 ± 5.6859.55 ± 6.4867.13 ± 4.2566.05 ± 3.037.96 ± 1.726.8 ± 1.26Cong et al., 201966.91 ± 7.3867.88 ± 8.3848/8450/48————7.25 ± 0.087.27 ± 0.0953.10 ± 16.2254.08 ± 15.3372.11 ± 16.3172.91 ± 16.4110.02 ± 5.119.55 ± 4.78Tan et al, 202068.4 ± 9.371.4 ± 7.827/4423/4214 (11–18.8)13 (10.8–16)18 (16–23)21 (16–26)7.48 (7.42–7.51)7.45 (7.40–7.49)239.2 ± 47.0∗229.3 ± 42.0∗50.5 (48–57.8)53 (48.8–61.3)83.9 ± 33.1∗70.9 ± 30.6∗Papachatzakis et al., 202076 ± 13.478.1 ± 8.110/209/2021.6 ± 8.919.6 ± 6.1——7.1 ± 0.17.1 ± 0.176.4 ± 28.965.2 ± 12.960.4 ± 9.962.1 ± 10.32 ± 12 ± 9Cohort studiesLee et al., 201873 (68–79)77 (71–70)28/4429/44——24 (20–28)24 (22–29)7.32 ± 0.287.31 ± 0.29134.8 ± 7.3∗134.5 ± 7.5∗56.4 ± 10.152.6 ± 8.87 (5–10)8 (6–10)Sun et al., 201973.2 ± 9.070.4 ± 7.424/3930/4318.4 ± 2.717.3 ± 3.428.1 ± 3.327.0 ± 3.57.31 (7.29–7.33)7.30 (7.28–7.32)138.2 ± 6.6∗140 ± 6.6∗56 (53–62)59 (55–62)5 (4–7)6 (5–8)∗distinguishes the two indicators of the variable. For example, “day” was chosen by Jing et al. (the first RCT in the table) in their study to measure the respiratory support duration, while Tan et al. (the fifth RCT in the table) prefer “hours” to be the measurement.


### 3.2. Risk of Bias within Studies

Three studies [15, 16, 18] did not detail the method of their random sequence generation and allocation concealment, which may cause selection bias. Blinding of participants was not performed in all RCTs owing to different appearances of the devices. There was no bias in detection, attrition, and reporting. The quality assessment of each eligible trial is shown in Figure 2.Figure 2
Quality assessment of each eligible trial.


### 3.3. Clinical Effectiveness

#### 3.3.1. Effect on Intubation Rate and Mortality

Both cohort studies and five RCTs that reported intubation and mortality were considered in our meta-analysis. The pooled data showed that HFNC was noninferior to NIV in preventing intubation or reintubation both in RCTs (OR = 0.92, 95% CI: 0.45–1.88) and cohort studies (OR = 0.94, 95% CI: 0.55–1.62). Similarly, the synthesis of cohort studies (OR = 0.96, 95% CI: 0.42–2.20) in reducing mortality indicates no difference. NIV seems to be more effective in reducing mortality in RCTs (OR = 1.33, 95% CI: 0.68–2.60), but the between-treatment difference was not statistically signiﬁcant. Forest plot of intubation and mortality is shown in Figure3.Figure 3
Intubation and mortality.


#### 3.3.2. Effect on Blood Gas Analysis and Respiratory Rate

Of all eligible studies, seven reported at least one of the following blood gas analysis outcomes including PaO2, PaCO2, and pH. The variables at 12 h or 24 h after initiation of therapy were collected and merged.There was no difference between HFNC and NIV in oxygenation improvement (MD = 0.35, 95% CI: −1.18 to 1.89 in PaO2 and MD = −5.05 95% CI: −28.06 to 17.97 in PaO2/FiO2); removing carbon dioxide (MD = −0.02, 95% CI: −2.62 to 2.59 for RCTs; MD = 2.94, 95% CI: −0.20 to 6.07 for cohort studies); pH change (MD = −0.01, 95% CI: −0.03 to 0.01); or alleviating respiratory distress (MD = −0.75, 95% CI −2.6 to –1.09). Likewise, two cohort studies showed a similar tendency without a significant difference. Forest plots of blood gas analysis and respiratory rate are shown in Figure 4.Figure 4
(a) Blood gas analysis. (b) Respiratory rate.
(a)(b)


#### 3.3.3. Effect on ICU Stay

All six RCTs reported the patients’ stay in the ICU and were pooled into the analysis. The results suggested that both therapies were similar with respect to ICU stay (SMD = −0.07, 95% CI: −0.26 to 0.11). Forest plot of ICU stay is shown in Figure5.Figure 5
ICU stay.


#### 3.3.4. Patients’ Comfort and Complications of Therapy

Three studies [14, 15, 19] that reported patients’ comfort indicated a statistically significant effect in support of HFNC. Similarly, four studies [16, 17, 19, 20] that reported complications of therapy showed a significantly lower ﬂatulence rate and incidence of nasal-facial breakdown rate in the HFNC group than in the NIV group (all P<0.05). Besides, fewer patients in the HFNC group needed less airway care intervention. The summary of patients’ comfort and complication is shown in Table 4.Table 4
Summary of patients’ comfort and complication.
Nasofacial skin breakdownGastric and intestinal flatulenceComfort scoresAirway care interventionsSun et al., 20195.1% vs. 20.9%,P<0.05——5 (4–7) vs. 8 (7–10),P<0.001Jing et al., 2018——3.55 ± 2.01 vs. 5.15 ± 2.28,P=0.029.09% vs. 45%,P=0.03Cong et al., 2019——75% vs. 57%,P=0.008—Yu et al., 2019—5.6% vs. 25%,P=0.022——Wang et al., 20198.7% vs. 40%,P=0.02813.0% vs. 45.0%,P=0.039——Tan et al., 20200 vs. 9.6%,P=0.027—7 (6–8) vs. 5 (4–7),P<0.0016 (4–7) vs. 7 (5–9.3),P=0.006


#### 3.3.5. Heterogeneity Analysis

Significant heterogeneity was tested in PaCO2 of the cohort studies (I2 = 87%, c2 = 7.52, P=0.006), but not among the RCTs (I2 = 30%, χ2 = 5.73, P=0.22). There were good consistency and low heterogeneity among the other variables analyzed.


## 3.1. Study Selection and Characteristics

In all, 595 citations were retrieved through literature search. We excluded 150 duplicates identified by the title and authors and omitted 423 studies that did not fulfill the inclusion criteria. We tried to obtain the full text of the remaining 22 searches. Finally, eight studies, comprising six parallel RCTs [14–19] and two cohort studies [20, 21], involving 621 participants were enrolled in the analysis. The flowchart of the study is shown in Figure 1.Figure 1
Study flow.Tan et al. conducted their study in two large tertiary care hospitals, while the remaining studies included were all carried out in a single center. Seven studies were performed in Asia and one in Greece. Most patients were admitted to the ICU or respiratory ICU. Three of six RCTs recruited only extubated patients, while patients with acute-exacerbation chronic obstructive pulmonary disease (AECOPD) were the main cause of hypercapnic respiratory failure in another two RCTs and both cohort studies. One study did not mention the cause of admittance. Characteristics of the participants and studies are shown in Tables1–3, respectively.Table 1
Characteristics of cohort studies.
Authors, yearParticipates of the cohort (HFNC/NIV)Case sourceCause of hypercapnic respiratory failureFollow-up (days)LocationMajor inclusive criteriaInitial indications of HFNCInitial indications of NIVPrimary outcomeNOS scoresSun et al., 201939/43ICUAECOPD or pulmonary infection with COPD28ChinaCOPD or acute respiratory failure by a secondary diagnosis of COPD with a respiratory acidosis (pH ≤ 7.35 and PaCO2 ≥ 50 mmHg)Initial FiO2 in the HFNC group was 0.3 (0.2–0.4), and the gas flow rate was 50 L/min (40–50).Initial FiO2 in the NIV group was 0.4 (0.3–0.6), inspiratory airway pressure was 10 cm H2O (8–12), and expiratory airway pressure was 4 cm H2O (4-5). Mean expiratory tidal volume during the first 24 hrs of NIV treatment was 5.4 ± 2.4 ml/kg of predicted body weight.Treatment failure and 28-day mortality5Lee et al., 201844/44Respiratory wardAECOPD30South KoreaAECOPD with moderate hypercapnic acute respiratory failure ((PaO2)/FiO2 < 200 mmHg, PaCO2 > 45 mmHg, and 7.25 < pH < 7.35 on room air)Beginning with FiO2 > 50% and a flow of 35 L/min and then titrating flow to 45–60 L/min if tolerated. FiO2 was subsequently adjusted to maintain an oxygen saturation of 92% or more.The expiratory pressure was set at 5 cm H2O pressure, and inspiratory pressure was initially set at 10 cm H2O and then increased in increments of 2–4 to 20 cm H2O or the maximum tolerated over 1 hour. The BiPAP level was adjusted to maintain an oxygen saturation of 92% or more.Intubation rate and 30-day mortality6Table 2
Characteristics of the RCTs.
Authors, yearCase sourceSubjectsMajor inclusive criteriaFollow-up (days)LocationOutcomeIndications of HFNCIndications of NIVTrial registration numberJing et al., 2018—42Patients with hypercapnia (PaCO2 > 45 mmHg) at the time of extubation and met the “pulmonary infection control window” criteria28ChinaThe primary outcome parameters were ABG analysis and vital signs. Secondary outcomes included duration of respiratory support, length of ICU stay, the patients’ comfort score, and incidence of adverse events.The humidifier temperature was set at 37°C, and the fraction of inspired oxygen was adjusted to maintain oxygen saturation recorded by pulse oximetry (SpO2) at 88–92%.The IPAP was initiated at 10–12 cm H2O, EPAP started at 4-5 cm H2O, and subsequent adjustments were based on the patients’ ABGs.ClinicalTrials (NCT03458364)Yu et al., 2019ICU72Extubation patients with hypercapnia (PaCO2 > 50 mmHg)Not mentionedChinaThe ABG, respiratory rate, heart rate, mean arterial pressure, reintubation rate, mortality, intensive care unit stay, and incidence of adverse events.The humidifier temperature was set at 37°C, and the fraction of inspired oxygen was adjusted according to ABGs and patients’ symptoms and signs.The IPAP was initiated at 10～14 cm H2O, and EPAP was 4～6 cm H2O. Variables were adjusted according to ABGs and patients’ symptoms and signs.NoWang et al., 2019RICU43AECOPD patients with hypercapnic respiratory failure28ChinaThe treatment failure rate, tracheal intubation rate, complications, and 28-day survival rate.Both the flow rate and the fraction of inspired oxygen were according to ABGs and patients’ symptoms and signs.Both IPAP and EPAP were adjusted according to ABGs and patients’ symptoms and signs.NoCong et al., 2019ICU168AECOPD patientsNot mentionedChinaThe primary endpoint was ABG analysis. Secondary clinical endpoints included ventilation support time, hospitalization days and complications, comfort, and nursing satisfaction.The air temperature was set at 37°C at a flow rate of 30–35 L/min.The IPAP was set at 10 cm H2O, and EPAP was set at 5 cm H2O at the beginning and gradually increased after the patient adapted. Patients’ symptoms and signs were monitored, and FiO2 was adjusted to ensure oxygen saturation2.NoTan et al, 2020ICU86Extubation patients with COPD patients with hypercapnic respiratory failure28ChinaThe primary endpoint was treatment failure. Secondary outcomes included arterial blood gas analysis and vital signs.The initial airflow was set at 50 L/min and adjusted according to patient tolerance. The HFNC was set to an absolute humidity of 44 mg H2O/L, temperature was set to 37°C, and FiO2 was adjusted to maintain an SpO2 of 88–92%.The initial EPAP was set to 4 cm H2O, while the IPAP was initially set to 8 cm H2O. The pressure level was gradually increased to achieve a satisfactory tidal volume with acceptable tolerance. The pressure level and the fraction of inspiration oxygen (FiO2) were adjusted to maintain 88–92% SpO2.Chictr.org (ChiCTR1800018530)Papachatzakis et al., 2020ED40Patients suffering acute respiratory failure type 2Not mentionedGreeceEndpoints were intubation and mortality rate, length of hospitalization, duration of therapy, and possible differences between vital signs, ABGs, and comfort.The initial airflow was set at a flow of 35 L/min, titrating flow upward if tolerated to 45–50 L/min, in order to maintain SaO2 > 90% or according to specific clinical orders.Expiratory and inspiratory pressures were gradually increased to the maximum tolerated over 1 h, in order to maintain SaO2 > 90%, or according to specific clinical orders.NoED: emergency department; IPAP: inspiratory positive airway pressure; EPAP: expiratory pressure airway pressure; ABG: arterial blood gases.Table 3
Characteristics of the participants.
Authors, yearAge (years)Gender (male/total)APACHE II scoreRespiratory rates (times/minute)pHPaO2 (mmHg) or PaO2/FiO2∗(mmHg)PaCO2 (mmHg)Respiratory support duration (days or hours∗)HFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVHFNCNIVRCTsJing et al., 201877.4 ± 6.873.9 ± 6.9?/22?/2011.8 ± 3.110.42.518.3 ± 3.519.2 ± 4.17.46 ± 0.047.44 ± 0.06235.8 ± 77.0∗250.8 ± 75.8∗52.4 ± 6.453.7 ± 8.62.73 ± 1.954.07 ± 4.40Yu et al., 201962.4 ± 10.163.5 ± 11.224/3621/3628.6 ± 2.828.5 ± 3.432 ± 4.433 ± 4.37.26 ± 0.037.26 ± 0.0356.84 ± 2.7756.92 ± 2.8973.56 ± 6.973.5 ± 6.23——Wang et al., 201971.26 ± 7.3972.85 ± 6.6513/2312/2018.35 ± 2.1918.9 ± 2.5930.91 ± 2.1330.35 ± 2.687.23 ± 0.197.24 ± 0.0257.17 ± 5.6859.55 ± 6.4867.13 ± 4.2566.05 ± 3.037.96 ± 1.726.8 ± 1.26Cong et al., 201966.91 ± 7.3867.88 ± 8.3848/8450/48————7.25 ± 0.087.27 ± 0.0953.10 ± 16.2254.08 ± 15.3372.11 ± 16.3172.91 ± 16.4110.02 ± 5.119.55 ± 4.78Tan et al, 202068.4 ± 9.371.4 ± 7.827/4423/4214 (11–18.8)13 (10.8–16)18 (16–23)21 (16–26)7.48 (7.42–7.51)7.45 (7.40–7.49)239.2 ± 47.0∗229.3 ± 42.0∗50.5 (48–57.8)53 (48.8–61.3)83.9 ± 33.1∗70.9 ± 30.6∗Papachatzakis et al., 202076 ± 13.478.1 ± 8.110/209/2021.6 ± 8.919.6 ± 6.1——7.1 ± 0.17.1 ± 0.176.4 ± 28.965.2 ± 12.960.4 ± 9.962.1 ± 10.32 ± 12 ± 9Cohort studiesLee et al., 201873 (68–79)77 (71–70)28/4429/44——24 (20–28)24 (22–29)7.32 ± 0.287.31 ± 0.29134.8 ± 7.3∗134.5 ± 7.5∗56.4 ± 10.152.6 ± 8.87 (5–10)8 (6–10)Sun et al., 201973.2 ± 9.070.4 ± 7.424/3930/4318.4 ± 2.717.3 ± 3.428.1 ± 3.327.0 ± 3.57.31 (7.29–7.33)7.30 (7.28–7.32)138.2 ± 6.6∗140 ± 6.6∗56 (53–62)59 (55–62)5 (4–7)6 (5–8)∗distinguishes the two indicators of the variable. For example, “day” was chosen by Jing et al. (the first RCT in the table) in their study to measure the respiratory support duration, while Tan et al. (the fifth RCT in the table) prefer “hours” to be the measurement.


## 3.2. Risk of Bias within Studies

Three studies [15, 16, 18] did not detail the method of their random sequence generation and allocation concealment, which may cause selection bias. Blinding of participants was not performed in all RCTs owing to different appearances of the devices. There was no bias in detection, attrition, and reporting. The quality assessment of each eligible trial is shown in Figure 2.Figure 2
Quality assessment of each eligible trial.


## 3.3. Clinical Effectiveness

### 3.3.1. Effect on Intubation Rate and Mortality

Both cohort studies and five RCTs that reported intubation and mortality were considered in our meta-analysis. The pooled data showed that HFNC was noninferior to NIV in preventing intubation or reintubation both in RCTs (OR = 0.92, 95% CI: 0.45–1.88) and cohort studies (OR = 0.94, 95% CI: 0.55–1.62). Similarly, the synthesis of cohort studies (OR = 0.96, 95% CI: 0.42–2.20) in reducing mortality indicates no difference. NIV seems to be more effective in reducing mortality in RCTs (OR = 1.33, 95% CI: 0.68–2.60), but the between-treatment difference was not statistically signiﬁcant. Forest plot of intubation and mortality is shown in Figure3.Figure 3
Intubation and mortality.


### 3.3.2. Effect on Blood Gas Analysis and Respiratory Rate

Of all eligible studies, seven reported at least one of the following blood gas analysis outcomes including PaO2, PaCO2, and pH. The variables at 12 h or 24 h after initiation of therapy were collected and merged.There was no difference between HFNC and NIV in oxygenation improvement (MD = 0.35, 95% CI: −1.18 to 1.89 in PaO2 and MD = −5.05 95% CI: −28.06 to 17.97 in PaO2/FiO2); removing carbon dioxide (MD = −0.02, 95% CI: −2.62 to 2.59 for RCTs; MD = 2.94, 95% CI: −0.20 to 6.07 for cohort studies); pH change (MD = −0.01, 95% CI: −0.03 to 0.01); or alleviating respiratory distress (MD = −0.75, 95% CI −2.6 to –1.09). Likewise, two cohort studies showed a similar tendency without a significant difference. Forest plots of blood gas analysis and respiratory rate are shown in Figure 4.Figure 4
(a) Blood gas analysis. (b) Respiratory rate.
(a)(b)


### 3.3.3. Effect on ICU Stay

All six RCTs reported the patients’ stay in the ICU and were pooled into the analysis. The results suggested that both therapies were similar with respect to ICU stay (SMD = −0.07, 95% CI: −0.26 to 0.11). Forest plot of ICU stay is shown in Figure5.Figure 5
ICU stay.


### 3.3.4. Patients’ Comfort and Complications of Therapy

Three studies [14, 15, 19] that reported patients’ comfort indicated a statistically significant effect in support of HFNC. Similarly, four studies [16, 17, 19, 20] that reported complications of therapy showed a significantly lower ﬂatulence rate and incidence of nasal-facial breakdown rate in the HFNC group than in the NIV group (all P<0.05). Besides, fewer patients in the HFNC group needed less airway care intervention. The summary of patients’ comfort and complication is shown in Table 4.Table 4
Summary of patients’ comfort and complication.
Nasofacial skin breakdownGastric and intestinal flatulenceComfort scoresAirway care interventionsSun et al., 20195.1% vs. 20.9%,P<0.05——5 (4–7) vs. 8 (7–10),P<0.001Jing et al., 2018——3.55 ± 2.01 vs. 5.15 ± 2.28,P=0.029.09% vs. 45%,P=0.03Cong et al., 2019——75% vs. 57%,P=0.008—Yu et al., 2019—5.6% vs. 25%,P=0.022——Wang et al., 20198.7% vs. 40%,P=0.02813.0% vs. 45.0%,P=0.039——Tan et al., 20200 vs. 9.6%,P=0.027—7 (6–8) vs. 5 (4–7),P<0.0016 (4–7) vs. 7 (5–9.3),P=0.006


### 3.3.5. Heterogeneity Analysis

Significant heterogeneity was tested in PaCO2 of the cohort studies (I2 = 87%, c2 = 7.52, P=0.006), but not among the RCTs (I2 = 30%, χ2 = 5.73, P=0.22). There were good consistency and low heterogeneity among the other variables analyzed.


## 3.3.1. Effect on Intubation Rate and Mortality

Both cohort studies and five RCTs that reported intubation and mortality were considered in our meta-analysis. The pooled data showed that HFNC was noninferior to NIV in preventing intubation or reintubation both in RCTs (OR = 0.92, 95% CI: 0.45–1.88) and cohort studies (OR = 0.94, 95% CI: 0.55–1.62). Similarly, the synthesis of cohort studies (OR = 0.96, 95% CI: 0.42–2.20) in reducing mortality indicates no difference. NIV seems to be more effective in reducing mortality in RCTs (OR = 1.33, 95% CI: 0.68–2.60), but the between-treatment difference was not statistically signiﬁcant. Forest plot of intubation and mortality is shown in Figure3.Figure 3
Intubation and mortality.


## 3.3.2. Effect on Blood Gas Analysis and Respiratory Rate

Of all eligible studies, seven reported at least one of the following blood gas analysis outcomes including PaO2, PaCO2, and pH. The variables at 12 h or 24 h after initiation of therapy were collected and merged.There was no difference between HFNC and NIV in oxygenation improvement (MD = 0.35, 95% CI: −1.18 to 1.89 in PaO2 and MD = −5.05 95% CI: −28.06 to 17.97 in PaO2/FiO2); removing carbon dioxide (MD = −0.02, 95% CI: −2.62 to 2.59 for RCTs; MD = 2.94, 95% CI: −0.20 to 6.07 for cohort studies); pH change (MD = −0.01, 95% CI: −0.03 to 0.01); or alleviating respiratory distress (MD = −0.75, 95% CI −2.6 to –1.09). Likewise, two cohort studies showed a similar tendency without a significant difference. Forest plots of blood gas analysis and respiratory rate are shown in Figure 4.Figure 4
(a) Blood gas analysis. (b) Respiratory rate.
(a)(b)


## 3.3.3. Effect on ICU Stay

All six RCTs reported the patients’ stay in the ICU and were pooled into the analysis. The results suggested that both therapies were similar with respect to ICU stay (SMD = −0.07, 95% CI: −0.26 to 0.11). Forest plot of ICU stay is shown in Figure5.Figure 5
ICU stay.


## 3.3.4. Patients’ Comfort and Complications of Therapy

Three studies [14, 15, 19] that reported patients’ comfort indicated a statistically significant effect in support of HFNC. Similarly, four studies [16, 17, 19, 20] that reported complications of therapy showed a significantly lower ﬂatulence rate and incidence of nasal-facial breakdown rate in the HFNC group than in the NIV group (all P<0.05). Besides, fewer patients in the HFNC group needed less airway care intervention. The summary of patients’ comfort and complication is shown in Table 4.Table 4
Summary of patients’ comfort and complication.
Nasofacial skin breakdownGastric and intestinal flatulenceComfort scoresAirway care interventionsSun et al., 20195.1% vs. 20.9%,P<0.05——5 (4–7) vs. 8 (7–10),P<0.001Jing et al., 2018——3.55 ± 2.01 vs. 5.15 ± 2.28,P=0.029.09% vs. 45%,P=0.03Cong et al., 2019——75% vs. 57%,P=0.008—Yu et al., 2019—5.6% vs. 25%,P=0.022——Wang et al., 20198.7% vs. 40%,P=0.02813.0% vs. 45.0%,P=0.039——Tan et al., 20200 vs. 9.6%,P=0.027—7 (6–8) vs. 5 (4–7),P<0.0016 (4–7) vs. 7 (5–9.3),P=0.006


## 3.3.5. Heterogeneity Analysis

Significant heterogeneity was tested in PaCO2 of the cohort studies (I2 = 87%, c2 = 7.52, P=0.006), but not among the RCTs (I2 = 30%, χ2 = 5.73, P=0.22). There were good consistency and low heterogeneity among the other variables analyzed.


## 4. Discussion

The efficacy and safety of high-flow nasal cannula (HFNC) in patients with hypercapnic respiratory failure have been debatable in recent years. Pisani et al. [22] reported that COPD patients recovering from an acute exacerbation and with persistent hypercapnia showed a statistically significant response in terms of PaCO2 decrease. This was strengthened by another retrospective study among hypercapnic AECOPD patients that reported a significant treatment effect in removing CO2, especially for acidotic patients (baseline pH < 7.35) [23]. It was also reported that the use of HFNC resulted in dyspnea relief and hypercapnia improvement [24] and could effectively mitigate diaphragm fatigue [25]. In contrast, HFNC did not decrease PaCO2 in the hypercapnic subgroup of another cross-sectional study [26] and patients with mild-to-moderate AECOPD in the trial of Yang et al. [25].In this meta-analysis, we found that HFNC is as effective as NIV in preventing endotracheal intubation and mortality. We also found that HFNC has a similar effect as NIV on pH change, improving oxygenation, removing carbon dioxide, alleviating respiratory distress, and ICU stay. This could be attributed to the following factors. First, HFNC decrease in the dead space of the air channel improves alveolar ventilation and washes out carbon dioxide in the anatomical dead space, thereby leading to effective PaCO2 reduction [27–29]. Second, HFNC decreased inhalation-expiration ratio and respiratory rate, improved breathing patterns, and subsequently reduced the work of breath [30–32]. Di Mussi et al. [33] stated that HFNC after extubation significantly decreased the neuroventilatory drive and work of breathing compared with conventional oxygen therapy. Third, by delivering high-flow gas, HFNC may produce a flow and leakage-dependent positive end-expiratory pressure (PEEP) and prevent airway collapse that may be beneficial for alveolar recruitment on the one hand and improve the mismatch between ventilation and perfusion on the other hand [34–36]. Besides, the physiological friendly gas perks up mucosal function and facilitates secretion clearance. All the factors may mitigate lung injury and induce a noninferior outcome. Given the friendly interface that would not disturb speaking, spitting, or eating and a stable flow with warm and well-humidified gas, HFNC was undoubtedly superior to NIV with regard to patients’ comfort and therapy-related complications.Our study has several limitations. First is the fact that eligible clinical studies on the use of HFNC in hypercapnic respiratory failure were limited. Second is the methodological issues of the included studies, for example, explicit randomization in partial studies, lack of blinding for all RCTs, and single-center design of most studies in Asia. These factors may lead to bias and weaken the strength of evidence. Besides, there was significant heterogeneity in the analysis of PaCO2 in cohort studies (I2 = 87%, χ2 = 7.52, P=0.006), which was speculated to be caused by differences in the initial flow rate of HFNC and the overall severity of patients, deduced on the basis of different places from where patients were recruited. Thus, the quality of the included studies ranged from moderate to low.


## 5. Conclusion

Despite the limitations noted, HFNC may be an effective and safe alternative to prevent endotracheal intubation and mortality when NIV cannot be performed in mild-to-moderate cases of hypercapnia. Large and well-structured trials are needed to validate these findings.



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*Source: 7406457-2020-10-30.xml*