Literature DB >> 34975046

Predictive factors for high-flow nasal cannula failure in acute hypoxemic respiratory failure in an intensive care unit.

Chung-Tat Lun1, Chi-Kin Leung2, Hoi-Ping Shum3, Sheung-On So4.   

Abstract

BACKGROUND AND
OBJECTIVE: High-flow nasal cannula (HFNC), a relatively new technique in acute hypoxemic respiratory failure (AHRF), is gaining popularity in intensive care units (ICUs). Our study aims to identify the predictive factors for failure of HFNC.
MATERIALS AND METHODS: This is a 5-year retrospective cohort study in patients with AHRF using HFNC in an ICU of a regional hospital in Hong Kong. The primary outcome is to identify the predictive factors for failure of HFNC which is defined as escalation of treatment to noninvasive ventilation, mechanical ventilation, extracorporeal membrane oxygenation, or death.
RESULTS: Of the 124 ICU patients with AHRF, 69 (55.65%) failed in the use of HFNC. The patients failing HFNC had higher Acute physiology and Chronic Health Evaluation IV scores, lower Glasgow Coma Scale scores, lower platelet counts and serum sodium levels upon ICU admission, and higher pH on day of HFNC commencement. They had higher respiratory rates before HFNC and higher heart rates before and 1 h after HFNC. The respiratory rate-oxygenation (ROX) index which is defined as a ratio of SpO2/FiO2 to respiratory rate was significantly lower in the failure group 1 h and 12 h after HFNC. By multivariate binary logistic regression, failure of HFNC is associated with lower ROX index at 12 h after HFNC.
CONCLUSION: ROX index at 12 h serves as a valuable tool to monitor the responsiveness to HFNC treatment. Close monitoring is required to identify patient failing using HFNC.

Entities:  

Keywords:  Clinical respiratory medicine; critical care medicine; ventilation

Year:  2022        PMID: 34975046      PMCID: PMC8926220          DOI: 10.4103/lungindia.lungindia_122_21

Source DB:  PubMed          Journal:  Lung India        ISSN: 0970-2113


INTRODUCTION

High-flow nasal cannula (HFNC), a relatively new technique to provide support in patients with respiratory distress, is gaining popularity in intensive care units (ICUs). HFNC has several advantages: (I) the high flow of gas reduces the entrainment of room air and dilution of oxygen;[12] (II) it creates a positive pressure effect;[3] (III) it washes out carbon dioxide in the upper airway and reduces the anatomic dead space;[45] (IV) the heat and humidification improve mucociliary motion and sputum clearance;[67] (V) it reduces upper airway resistance and work of breathing and improves thoracoabdominal synchrony;[8910] and (VI) it is better tolerated compared with other devices like noninvasive ventilation (NIV). Researchers began to evaluate the role of HFNC in adult patients with acute hypoxemic respiratory failure (AHRF).[10] The FLORALI trial, a multicenter randomized control trial comparing HFNC and other oxygenation strategies, found a lower ICU and 90-day mortality and longer ventilator-free days in patients receiving HFNC.[11] The post hoc analysis found a lower intubation rate in the patients receiving HFNC in the subgroup of patients with a P/F ratio <200. Kang, in his retrospective cohort of 175 HFNC failure patients, found that late intubation (beyond 48 h after HFNC) had a higher ICU mortality, a lower success rate in ventilator weaning, and fewer ventilator-free days compared to early intubation (within 48 h after HFNC).[12] Therefore, it is ideal to know the accurate predictive factors for failure of HFNC, so that physicians can early identify patients failing HFNC and timely escalate the ventilatory support. The predictive factors for HFNC failure are, however, not well investigated, with inconsistent results in different studies. We performed a retrospective cohort study to identify factors for HFNC failure in ICU patients.

MATERIALS AND METHODS

Study population

This retrospective cohort study was conducted in the ICU of Pamela Youde Nethersole Eastern Hospital in Hong Kong. The hospital records of patients admitted to ICU between May 2012 and April 2017 were retrospectively evaluated, and patients were included if they had matched keywords of “Optiflow,” “Airvo,” or “HFNC” as the oxygen device in the Clinical Information System (CIS, Philips IntelliSpace Critical Care and Anesthesia). Patients were excluded if they were (1) given HFNC as a tool to wean from mechanical ventilation (MV), (2) given HFNC as a palliative management in malignancies, and (3) considered not suitable for enrollment by the investigators. The following clinical and laboratory data were collected: demographic data; diagnoses and the causes of respiratory failure; clinical parameters 1 h before, 1 h after, and 12 h after the use of HFNC; usage of vasopressor before commencement of HFNC; laboratory data including white blood cells, hemoglobin, platelets, prothrombin time, renal function tests, arterial blood gases upon ICU admission, and on the day of HFNC use; details of oxygen therapy or MV before and after HFNC; the settings of HFNC including oxygen fraction and flow at commencement and 1 h and 12 h after; time of commencement and termination of HFNC; time of MV, NIV, extracorporeal membrane oxygenation, or death in that index admission; and Acute Physiology and Chronic Health Evaluation (APACHE IV) scores upon admission.

Outcomes

The primary outcome of the study is to identify the factors associated with failure of HFNC which is defined as treatment escalation to NIV, MV, extracorporeal membrane oxygenation, or death within 28 days from the commencement of HFNC.

Statistical analysis

Statistical analysis was performed with the IBM SPSS Statistics for windows version 19, Armonk, NY: IBM Corp. Baseline characteristics were expressed as mean (standard deviation) or median (interquartile range). Comparisons of continuous data for analysis were performed with Student’s t-test or Mann–Whitney U-test as appropriate. Fisher’s exact test was used in small expected count. Comparisons of categorical data were made with Chi-square test. Discriminative power of predicting failure of HFNC was evaluated by the receiver operating characteristic curve. P <0.05 was considered statistically significant in univariate analysis and multivariate analysis. This retrospective study was performed in compliance with ethical standard of the Helsinki Declaration and approved by the Research Ethics Committee of the Hospital Authority in Hong Kong, reference number HKECREC-2018-002. Written informed consent was waived.

RESULTS

Patient characteristics

During the study period, 6782 patients admitted to the ICU were screened. One hundred and thirty-nine patients had the keywords of “Optiflow,” “Airvo,” or “HFNC” matched in the Clinical Information System. Twelve patients received HFNC for weaning of MV; one patient for palliative care in terminal malignancy (n = 1) and two patients for awake extracorporeal membrane oxygenation (ECMO) care were all excluded [Figure 1]. The baseline characteristics of the 124 eligible patients are summarized in Table 1. The majority (77.4%) suffered from pneumonia as the primary cause of respiratory failure, followed by fluid overload/congestive heart failure (CHF) (9.7%) and interstitial lung disease (4.8%). Before commencement of HFNC, 72 patients (58.1%), 35 patients (28.2%), 14 patients (11.3%), and 1 patient (0.8%) received nonrebreathing mask, nasal cannula, NIV, and Hudson mask, respectively. There were two patients receiving HFNC since admission in ICU. The median flow rate was 8 (IQR: 6–11) L/min 1 h before commencement of HFNC. The median respiratory rate and the mean heart rate were 28 (IQR: 23.75–32) and 102.7 (SD 20.43) per minute, respectively 1 h before HFNC. One hundred and nine patients (87.9%), 14 patients (11.3%), and 1 patient (0.8%) were receiving no vasopressor, noradrenaline, and dopamine, respectively. Among those receiving noradrenaline, the median dosage was 0.098 (IQR: 0.057–0.244) mcg/kg/min. The median APACHE IV score upon ICU admission was 68.5 (IQR: 56.25–89.75). At commencement of HFNC, the median flow of HFNC was 40 (IQR: 40–40) L/min and the median FiO2 was 0.5 (IQR: 0.45–0.6).
Figure 1

The enrollment of the study participants

Table 1

Baseline characteristics of patients (n=124)

n (%)
Age65 (55-78)
Body weight (kg)54.2 (44.28-59.95)
Height (cm)¥157.86 (10.03)
Physical parameters upon ICU admission
 O2 flow (LPM)8 (6-15)
 Respiratory rate26 (22-32)
 SpO294 (91-97)
 Temp (°C)37.6 (36.93-38.3)
 Heart rate¥107.54 (23.13)
 MAP (mmHg)85 (71.25-97.75)
Physical parameters before HFNC
 FiO2 1 h before HFNC (LPM)8 (6-11)
 Respiratory rate before HFNC28 (23.75-32)
 SpO2 before HFNC92 (90-94)
 GCS before HFNC15 (15-15)
 Flow of HFNC at commencement (LPM)40 (40-40)
Physical parameters 1 h after HFNC
 Flow rate (LPM)40 (40-40)
 FiO20.5 (0.45-0.6)
 GCS15 (14-15)
 Heart rate104.28 (21.61)
 Respiratory rate26 (23-32)
 SpO292 (90-94)
Physical parameters 12 h after HFNC
 Heart rate¥96.2 (21.4)
 Respiratory rate27.25 (23-31)
ROX index
 ROX 1 h6.45 (4.95-8.24)
 ROX 12 h7.14 (5.61-9.20)
Blood parameters on day of HFNC
 pH7.46 (7.42-7.49)
 PaCO2 (kPa)4.37 (3.86-5.18)
 PaO2 (kPa)9.93 (8.66-11.6)
 HCO3 (mmol/L)22.4 (19.8-26.0)
 Hemoglobin (g/dL)10.2 (9.1-11.9)
 White cell count ×109/L12.2 (8.31-17.64)
 Platelet×109/L209 (108-288)
 Sodium (mmol/L)137 (133-140)
 Potassium (mmol/L)3.8 (3.5-4.1)
 Urea (mmol/L)6.9 (4.8-11)
 Creatinine (µmol/L)69 (55-127)
 Bilirubin (mmol/L)14 (9.23-22)
 ICU stay days6.6 (3.99-14.88)
 APACHE IV score68.5 (56.25-89.75)
 Time from admission to HFNC (h)21.36 (5.04-54.72)
 HFNC duration (h)27.41 (11.61-64.48)
Categorical baseline characteristics
 Sex
  Male82 (66.7)
 Cause of respiratory failure
  Pneumonia96 (77.4)
  Cancer or carcinomatosis4 (3.2)
  Interstitial lung disease6 (4.8)
  Fluid overload/CHF12 (9.7)
  ARDS2 (1.6)
  Hemoptysis1 (0.8)
  Pulmonary embolism1 (0.8)
  Pleural effusion1 (0.8)
  Atelectasis1 (0.8)
 Cause of pneumonia
  Nonspecific, bacterial85 (88.5)
  Influenza3 (3.1)
  CMV1 (1)
  Aspiration3 (3.1)
  PCP1 (1)
  Adenovirus1 (1)
  Other viruses2 (2.1)
 Modality of O2 delivery before HFNC
  Nasal cannula35 (28.2)
  Nonrebreathing mask72 (58.1)
  Hudson mask1 (0.8)
  Optiflow2 (1.6)
  NIV14 (11.3)
 Choice of vasopressor 1 h before HFNC
  None109 (87.9)
  Noradrenaline14 (11.3)
  Dopamine1 (0.8)
 Choice of vasopressor 12 h after HFNC
  None112 (90.3)
  Noradrenaline12 (9.7)
  Dopamine0 (0)
 Modality of O2 delivery after HFNC
  Nasal cannula48 (38.7)
  NRM5 (4)
  Noninvasive ventilation21 (16.9)
  Mechanical ventilation43 (34.7)
  Death2 (1.6)
  ECMO1 (0.8)
  Direct high-flow nasal cannula to general ward4 (3.2)
 Success55 (44.35)
 Failure69 (55.6)
  Direct to mechanical ventilation43 (34.7)
  Direct to NIV (in which 6 patients later escalate to mechanical ventilation)21 (16.9)
  Direct to ECMO1 (0.8)
  Death during HFNC2 (1.6)
  HFNC to Nasal cannula or NRM to mechanical ventilation2 (0.8)
 Mortality31 (25)

Results shown as median (IQR) unless otherwise specified, ¶n (%) ¥Mean±SD. FiO2: Fraction of inspired oxygen, SpO2: Peripheral capillary oxygen saturation, MAP: Mean arterial pressure, HFNC: High-flow nasal cannula, GCS Glasgow Coma Scale, CHF: Congestive heart failure, ROX: Ratio of pulse oximetry/fraction of inspired oxygen to respiratory rate, APACHE: Acute Physiology and Chronic Health Evaluation, AKI: Acute kidney injury, ARDS: Acute respiratory distress syndrome, CMV: Cytomegalovirus, PCP: Pneumocystis pneumonia, NRM: Nonrebreathing mask, NIV: Noninvasive ventilation, ECMO: Extracorporeal membrane oxygenation, IQR: Interquartile range, ICU: Intensive care unit, SD: Standard deviation

The enrollment of the study participants Baseline characteristics of patients (n=124) Results shown as median (IQR) unless otherwise specified, ¶n (%) ¥Mean±SD. FiO2: Fraction of inspired oxygen, SpO2: Peripheral capillary oxygen saturation, MAP: Mean arterial pressure, HFNC: High-flow nasal cannula, GCS Glasgow Coma Scale, CHF: Congestive heart failure, ROX: Ratio of pulse oximetry/fraction of inspired oxygen to respiratory rate, APACHE: Acute Physiology and Chronic Health Evaluation, AKI: Acute kidney injury, ARDS: Acute respiratory distress syndrome, CMV: Cytomegalovirus, PCP: Pneumocystis pneumonia, NRM: Nonrebreathing mask, NIV: Noninvasive ventilation, ECMO: Extracorporeal membrane oxygenation, IQR: Interquartile range, ICU: Intensive care unit, SD: Standard deviation Forty-eight patients (38.7%), 5 patients (4%), 21 patients (16.9%), 43 patients (34.7%), and 1 patient (0.8%) received nasal cannula, nonrebreathing mask, NIV, MV, and extracorporeal membrane oxygenation, respectively, after HFNC. Two patients (1.6%) died and four patients (3.2%) were transferred to general wards while receiving HFNC. The median HFNC duration was 27 (IQR: 11.61–64.48) h and the median time from admission to HFNC commencement was 21.36 (IQR: 5.04–54.72) h. Sixty-nine patients (55.6%) were defined as failure which was defined as any escalation to NIV, MV, ECMO, or death within 28 days after commencement of HFNC.

Primary endpoints

Compared to the 55 patients who succeeded with the use of HFNC, the 69 patients with HFNC failure had higher APACHE IV scores and lower Glasgow Coma Scale (GCS) scores upon ICU admission (P = 0.002, 0.024). They had higher respiratory rates 1 h before HFNC (P = 0.032) and heart rates 1 h before and 1 h after HFNC (P = 0.011, P < 0.001). They had lower platelet counts (P = 0.012) and serum sodium levels (P = 0.011) upon ICU admission and a higher pH on the day of HFNC (P = 0.029). The respiratory rate-oxygenation (ROX) index which is defined as a ratio of SpO2/FiO2 to respiratory rate was significantly lower in the failure group at 1 h and 12 h after HFNC (P = 0.014, 0.014) [Table 2].
Table 2

Predictive factors for success of high-flow nasal cannula

SuccessFailure P
Heart rate
 Before HFNC¥ (mean±SD)97.53±19.20106.96±20.560.011*
 1 h after HFNC¥ (mean±SD)96.76±19.07110.34±21.76<0.001*
 12 h after HFNC¥94.06 (20.76)99.10 (22.12)0.268
Respiratory rate
 Before HFNC27 (23-30)30 (25-33)0.032*
 1 h after HFNC25 (22-30)28 (23-35)0.079
 12 h after HFNC26.5 (22.25-30.75)28 (23-34)0.164
GCS upon ICU15 (14-15)15 (10-15)0.024*
GCS 12 h after HFNC15 (15-15)15 (13.75-15)0.027*
pH on day of HFNC7.44 (7.41-7.48)7.47 (7.43-7.5)0.029*
PCO2 on day of HFNC4.43 (4.04-5.19)4.28 (3.72-4.98)0.284
HCO3 on day of HFNC22.8 (19.8-25.7)22.25 (19.88-26.38)0.925
Platelet upon ICU238 (152-299)163 (100.5-251)0.012*
Na upon ICU137 (133-139)134 (130.5-137)0.011*
Bilirubin on day of HFNC11.5 (9-19)16.5 (10-24.85)0.051
APACHE IV score62 (49-82)75 (60.05-106.5)0.002*
APACHE IV risk0.18 (0.09-0.31)0.26 (0.14-0.62)0.003*
ROX 1 h7.13 (5.98-9.47)6.93 (4.59-7.66)0.014*
ROX 12 h7.39 (6.42-9.90)6.10 (4.73-8.06)0.014*
Time from admission to HFNC1.01 (0.35-2.02)0.68 (0.17-0.68)0.422
HFNC duration (h)47 (25.47-72)18 (5.18-42.69)<0.001*
ICU stay (days)4.99 (3.40-7.06)10.97 (5.33-23.04)<0.001*
28-day mortality (%)031 (44.9)<0.001*
Cause of respiratory failure§0.629
Oxygen modality before HFNC0.646
Time from admission to HFNC24.28 (8.32-48.43)16.3 (4.09-59.61)0.422

*Clinical significance P<0.05, §Categorical. Results shown as median (IQR) unless otherwise specified, n (%) ¥Mean±SD. HFNC: High-flow nasal cannula, GCS: Glasgow Coma Scale, ROX: Ratio of pulse oximetry/fraction of inspired oxygen to respiratory rate, APACHE: Acute Physiology and Chronic Health Evaluation, IQR: Interquartile range, ICU: Intensive care unit, SD: Standard deviation

Predictive factors for success of high-flow nasal cannula *Clinical significance P<0.05, §Categorical. Results shown as median (IQR) unless otherwise specified, n (%) ¥Mean±SD. HFNC: High-flow nasal cannula, GCS: Glasgow Coma Scale, ROX: Ratio of pulse oximetry/fraction of inspired oxygen to respiratory rate, APACHE: Acute Physiology and Chronic Health Evaluation, IQR: Interquartile range, ICU: Intensive care unit, SD: Standard deviation There was no statistically significant association between HFNC failure and different causes of respiratory failure (P = 0.629) or modalities of oxygen therapy before HFNC (P = 0.646) or the time from admission to HFNC initiation (P = 0.422).

Multivariate analysis

By multivariate binary logistic regression, HFNC failure is only associated with lower ROX index at 12 h after HFNC commencement (P = 0.012, odds ratio [OR]: 0.802) [Table 3].
Table 3

Multivariate analysis of the predictive factors for success of high-flow nasal cannula

OR P
ROX at 12 h0.8020.012*

*Clinical significance P<0.05. ROX: Respiratory rate-oxygenation index, OR: Odds ratio

Multivariate analysis of the predictive factors for success of high-flow nasal cannula *Clinical significance P<0.05. ROX: Respiratory rate-oxygenation index, OR: Odds ratio The receiver operating characteristic (ROC) curve has its largest area under curve if ROX index at 12 h is used to predict the success of HFNC in our patients (AUC = 0.659) [Figure 2]. The sensitivity and specificity would be 0.88 and 0.41, respectively, if cutoff value for ROX 12 h is set to be 5.626
Figure 2

Receiver operating characteristic curves predicting high-flow nasal cannula success

Receiver operating characteristic curves predicting high-flow nasal cannula success

DISCUSSION

AHRF is a fatal complication of many diseases and it contributes to 30% of ICU admissions.[1314] It has been increasingly recognized that MV is associated with various adverse events and the hospital mortality remained as high as 30%.[1516] NIV is an established treatment to improve gas exchange and to decrease intubation rate and mortality in chronic obstructive pulmonary disease and CHF.[1718] However, the use of NIV in AHRF is debatable and is even shown to be detrimental in some studies. The sensitivity and specificity would be 0.88 and 0.41 if cutoff value for ROX 12 h would be 5.626. HFNC: High-flow nasal cannula HFNC appears to be a good alternative to avoid MV in AHRF. Patients when receiving HFNC were found to have a higher PR ratio, and a lower respiratory rate, work of breathing and thoracoabdominal asynchrony (TAA), compared with other oxygen devices.[101920] Sztrymf et al. reported a significant decrease in TAA at 1 h in patients receiving HFNC (P = 0.0007),[10] and found that patients exhibiting higher percentage of TAA as early as 30 min after HFNC initiation were more likely to require endotracheal intubation. Frat, in the FLORALI trial,[11] found lower ICU mortality and 90-day mortality rates, and longer ventilator-free days in the patients receiving HFNC, compared to patients receiving standard oxygen therapy or NIV. In the post hoc analysis of the subgroup of patients with P/F ratio <200, intubation rate was significantly lower in the patients receiving HFNC. Compared to standard oxygen therapy, HFNC was associated with significant reduction in the intubation rate (OR: 0.52, 95% confidence interval [CI]: 0.34–0.79, P = 0.002) in a meta-analysis by Zhao,[21] despite no difference in mortality (OR: 1.01, 95% CI: 0.67–1.53, P = 0.96). Heart rate, respiratory rate, SOFA score, APACHE II score, oxygenation, delirium, and thoracoabdominal asynchrony have been inconsistently identified as predictive factors for HFNC failure in different studies.[91022232425] In our study, the only factor associated with HFNC failure by multivariate analysis is the ROX index at 12 h after HFNC commencement (OR: 0.802, P = 0.012). The ROX index, a ratio of pulse oximetry (SpO2)/fraction of inspired oxygen (FiO2) to respiratory rate, was proposed by Roca to predict the HFNC failure.[26] In his 4-year observational cohort study, ROX index demonstrated the best prediction accuracy (AUROC, 0.74) at 12 h after HFNC initiation, with the best cutoff value for the ROX index estimated to be 4.88. It was also better than other physiological parameters to predict failure when measured at 18 h and 24 h after HFNC initiation. Compared to other clinical parameters, our study showed the greatest area under receiver operating characteristic curve (AUROC = 0.659) if ROX at 12 h with the sensitivity and specificity of 0.88 and 0.41 if cutoff value was set at 5.626. Our study shared similar findings with Roca’s study that the ROX index at 12 h was better than other physiological parameters to predict HFNC failure. ROX index appears to be a useful tool and can be easily incorporated in routine clinical monitoring in patients using HFNC. We would also like to point out that the ROX index at 1 h after HFNC was significantly lower in patients with HFNC failure (P = 0.014). Although the ROX index at 1 h only has an AUROC of 0.605 only, it may be still worthy of calculating the ROX index as early as 1 h after HFNC. According to our study, heart rates before and 1 h after HFNC were predictive of HFNC failure. Apart from being an hemodynamic parameter, patient heart rate also reflects the degree of stress and the dosage of vasopressors. Interestingly, Frat also found the heart rate 1 h after HFNC commencement was the only factor associated with intubation in the post hoc analysis of the FLORALI study.[25] We found that HFNC failure patients had significantly higher APACHE IV scores and lower GCS scores upon ICU admission (P = 0.002, 0.024). Obviously, a higher APACHE score signifies higher illness severity, and it has been identified as a factor for failure in previous studies. Imai, in his retrospective cohort, found delirium as a predictor of failure in HFNC in 106 patients with acute respiratory failure.[22] Impaired consciousness in ICU patients may lead to a lower threshold for endotracheal intubation, and on the other hand, it may reflect the severity of underlying illnesses. The failure rate of 55.65% in our study seems to be high when compared to the intubation rate of 38% in the FLORALI study.[11] However, the definition of failure of HFNC differed in the two studies. Apart from intubation, we also regard escalation to NIV and 28-day mortality as HFNC failure. After excluding these patients, 43 patients (34.7%) required MV and the intubation rate was comparable to that in the FLORALI study. Interestingly, among 21 patients with escalation to NIV, a majority of 15 patients (71.4%) did not need escalation to MV. The role of NIV as escalation of support after failure of HFNC has never been investigated and may warrant further studies. In our study, patients with higher APACHE IV scores, more deranged physical parameters including high heart rates and respiratory rates and blood parameters of low platelet counts, sodium levels, and higher pH were at higher risk of HFNC failure. Close monitoring of clinical response is deemed important in patients receiving HFNC. As early as 1 h after HFNC initiation, the heart rate can provide additional information to predict treatment failure. ROX index at 12 h has a valuable role in clinical monitoring. As supported by findings from Roca’s cohort[26] and our study, escalation of treatment has to be considered if ROX index is lower than the cutoff value or patient condition deteriorates. Because HFNC has an advantage of improving patient comfort and patients probably may tolerate for long period of time, physicians should beware of delaying endotracheal intubation. Our study had several limitations. First, it is a retrospective study without predetermined protocol for the indication, initiation, and cessation of HFNC. Second, patients’ comfort, dyspnea, and TAA were not assessed as they were not routinely documented in the medical record. Third, the ROX index at 12 h, as a tool to predict failure, is unable to identify patients failing HFNC within 12 h. Fourth, our study has a small sample size and is prone to be underpowered. Finally, there is heterogeneity in the causes of AHRF, though no relationship was found in our study between HFNC failure and the etiology of the respiratory failure.

CONCLUSION

HFNC is an excellent modality of respiratory support with advantages of simplicity and excellent tolerance, with proven benefit in terms of patient physiological parameters and clinical outcome. Close monitoring of the physical parameters is crucial. The ROX index has a predictive role in treatment failure and can be easily employed as a routine monitoring parameter for patients on HFNC. Physicians should beware of delayed intubation which was shown to have worse clinical outcome.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
Area under curve
ROX at 12 h after HFNC0.659
ROX at 1 h after HFNC0.605
Heart rate 1 h after HFNC0.393
Respiratory rate 1 h after HFNC0.429
Heart rate 12 h after HFNC0.440
Respiratory rate 12 h after HFNC0.411

The sensitivity and specificity would be 0.88 and 0.41 if cutoff value for ROX 12 h would be 5.626. HFNC: High-flow nasal cannula

  25 in total

Review 1.  Research in high flow therapy: mechanisms of action.

Authors:  Kevin Dysart; Thomas L Miller; Marla R Wolfson; Thomas H Shaffer
Journal:  Respir Med       Date:  2009-05-21       Impact factor: 3.415

2.  Failure of high-flow nasal cannula therapy may delay intubation and increase mortality.

Authors:  Byung Ju Kang; Younsuck Koh; Chae-Man Lim; Jin Won Huh; Seunghee Baek; Myongja Han; Hyun-Suk Seo; Hee Jung Suh; Ga Jin Seo; Eun Young Kim; Sang-Bum Hong
Journal:  Intensive Care Med       Date:  2015-02-18       Impact factor: 17.440

3.  Predicting success of high-flow nasal cannula in pneumonia patients with hypoxemic respiratory failure: The utility of the ROX index.

Authors:  Oriol Roca; Jonathan Messika; Berta Caralt; Marina García-de-Acilu; Benjamin Sztrymf; Jean-Damien Ricard; Joan R Masclans
Journal:  J Crit Care       Date:  2016-05-31       Impact factor: 3.425

4.  Acute hypoxemic respiratory failure in immunocompromised patients: the Efraim multinational prospective cohort study.

Authors:  Elie Azoulay; Peter Pickkers; Marcio Soares; Anders Perner; Jordi Rello; Philippe R Bauer; Andry van de Louw; Pleun Hemelaar; Virginie Lemiale; Fabio Silvio Taccone; Ignacio Martin Loeches; Tine Sylvest Meyhoff; Jorge Salluh; Peter Schellongowski; Katerina Rusinova; Nicolas Terzi; Sangeeta Mehta; Massimo Antonelli; Achille Kouatchet; Andreas Barratt-Due; Miia Valkonen; Precious Pearl Landburg; Fabrice Bruneel; Ramin Brandt Bukan; Frédéric Pène; Victoria Metaxa; Anne Sophie Moreau; Virginie Souppart; Gaston Burghi; Christophe Girault; Ulysses V A Silva; Luca Montini; François Barbier; Lene B Nielsen; Benjamin Gaborit; Djamel Mokart; Sylvie Chevret
Journal:  Intensive Care Med       Date:  2017-09-25       Impact factor: 17.440

5.  Characteristics and outcomes in adult patients receiving mechanical ventilation: a 28-day international study.

Authors:  Andrés Esteban; Antonio Anzueto; Fernando Frutos; Inmaculada Alía; Laurent Brochard; Thomas E Stewart; Salvador Benito; Scott K Epstein; Carlos Apezteguía; Peter Nightingale; Alejandro C Arroliga; Martin J Tobin
Journal:  JAMA       Date:  2002-01-16       Impact factor: 56.272

6.  Predictors of Intubation in Patients With Acute Hypoxemic Respiratory Failure Treated With a Noninvasive Oxygenation Strategy.

Authors:  Jean-Pierre Frat; Stéphanie Ragot; Rémi Coudroy; Jean-Michel Constantin; Christophe Girault; Gwénael Prat; Thierry Boulain; Alexandre Demoule; Jean-Damien Ricard; Keyvan Razazi; Jean-Baptiste Lascarrou; Jérôme Devaquet; Jean-Paul Mira; Laurent Argaud; Jean-Charles Chakarian; Muriel Fartoukh; Saad Nseir; Alain Mercat; Laurent Brochard; René Robert; Arnaud W Thille
Journal:  Crit Care Med       Date:  2018-02       Impact factor: 7.598

Review 7.  Noninvasive ventilation in acute cardiogenic pulmonary edema: systematic review and meta-analysis.

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Journal:  JAMA       Date:  2005-12-28       Impact factor: 56.272

8.  High-flow oxygen through nasal cannula in acute hypoxemic respiratory failure.

Authors:  Jean-Pierre Frat; Arnaud W Thille; Alain Mercat; Christophe Girault; Stéphanie Ragot; Sébastien Perbet; Gwénael Prat; Thierry Boulain; Elise Morawiec; Alice Cottereau; Jérôme Devaquet; Saad Nseir; Keyvan Razazi; Jean-Paul Mira; Laurent Argaud; Jean-Charles Chakarian; Jean-Damien Ricard; Xavier Wittebole; Stéphanie Chevalier; Alexandre Herbland; Muriel Fartoukh; Jean-Michel Constantin; Jean-Marie Tonnelier; Marc Pierrot; Armelle Mathonnet; Gaëtan Béduneau; Céline Delétage-Métreau; Jean-Christophe M Richard; Laurent Brochard; René Robert
Journal:  N Engl J Med       Date:  2015-05-17       Impact factor: 91.245

Review 9.  High-flow nasal cannula oxygen therapy is superior to conventional oxygen therapy but not to noninvasive mechanical ventilation on intubation rate: a systematic review and meta-analysis.

Authors:  Huiying Zhao; Huixia Wang; Feng Sun; Shan Lyu; Youzhong An
Journal:  Crit Care       Date:  2017-07-12       Impact factor: 9.097

10.  Nasal high-flow therapy delivers low level positive airway pressure.

Authors:  R Parke; S McGuinness; M Eccleston
Journal:  Br J Anaesth       Date:  2009-10-20       Impact factor: 9.166

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1.  Predictive factors for high-flow nasal cannula failure: Taking a closer look.

Authors:  Abhijit S Nair; Antonio M Esquinas
Journal:  Lung India       Date:  2022 Jul-Aug
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