Literature DB >> 33814901

Oronasal versus Nasal Masks for Non-Invasive Ventilation in COPD: A Randomized Crossover Trial.

Daniel S Majorski1, Jens C Callegari1, Sarah B Schwarz1, Friederike S Magnet1, Rodion Majorski2, Jan H Storre3,4, Claudia Schmoor5, Wolfram Windisch1.   

Abstract

PURPOSE: The impact of oronasal and nasal masks on the quality of nocturnal non-invasive ventilation (NIV) needs to be clarified. This trial was designed to compare the impact of oronasal and nasal masks on the objective quality and subjective acceptance of nocturnal NIV in COPD-patients. PATIENTS AND METHODS: In a randomized crossover trial, 30 COPD-patients with well-established high-intensity NIV (mean inspiratory/expiratory positive airway pressure 26±3/5±1 cmH2O, mean respiratory back-up rate 17±1/min) were ventilated for two consecutive nights on oronasal and nasal masks, respectively.
RESULTS: Full polysomnography, nocturnal blood gas measurements, and subjective assessments were performed. There was a tendency towards improved sleep efficiency (primary outcome) when an oronasal mask was worn (+9.9%; 95% CI:-0.2%-20.0%; P=0.054). Sleep stages 3/4 were favored by the oronasal mask (+12.7%; 95% CI: 6.0%-19.3%; P=<0.001). Subjective assessments were comparable with the exception of items related to leakage (P<0.05 in favor of nasal masks). The mean transcutaneous PCO2 value for oronasal masks (47.7±7.4 mmHg) was comparable to that of nasal masks (48.9±6.6 mmHg) (P=0.11). There was considerable diversity amongst individual patients in terms of sleep quality and gas exchange following mask exchange. Subjective mask preference was not associated with sleep quality, but with nocturnal dyspnea. Over 40% of patients subsequently switched to the mask that they were not previously accustomed to.
CONCLUSION: In general, oronasal and nasal masks are each similarly capable of successfully delivering NIV in COPD-patients. However, the individual response to different interfaces is extremely heterogeneous, while subjective mask preference is independent from objective measures, but associated with dyspnea. TRIAL REGISTRATION: German Clinical Trials Registry (DRKS00007741).
© 2021 Majorski et al.

Entities:  

Keywords:  dyspnea; masks; respiratory insufficiency; sleep

Mesh:

Year:  2021        PMID: 33814901      PMCID: PMC8009345          DOI: 10.2147/COPD.S289755

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Long-term non-invasive ventilation (NIV) has been used in chronically hypercapnic COPD patients since the 1990s.1–3 Based on current evidence, the guidelines for the use of long-term home NIV in COPD patients by the European Respiratory Society (ERS) now provide conditional support for the application of long-term NIV to improve health outcomes.4 This recommendation is reportedly valid for patients with both chronic stable hypercapnic COPD and persistent hypercapnia, in whom a life-threatening episode of acute hypercapnic respiratory failure occurred and acute NIV therapy was required.4 The ERS guidelines also suggest titrating long-term NIV to normalize or reduce PaCO2 levels in these patients. This is best achieved through high ventilator settings, particularly by increasing inspiratory positive airway pressures and increasing respiratory rate, an approach that has been described as high-intensity NIV (HI-NIV).2–6 It is worth noting that the ventilation interface is deemed to be technically crucial for the successful delivery of long-term NIV in COPD patients.2–4 Previous studies have also shown that there is no clear difference between oronasal and nasal masks regarding the quality of nocturnal ventilation,7,8 although these studies were performed in heterogeneous patient cohorts, and NIV was performed in a less aggressive manner using considerably lower ventilator settings than those applied in HI-NIV. Nowadays, most patients with COPD receive oronasal masks for NIV,4,9,10 which is in stark contrast to what was reported 15 years ago, when nasal masks were the most common type prescribed.11 Even though there is no clear evidence to support this change in mask preference by the prescribing physicians, an explanation for the above-mentioned observation could be that an ever-increasing number of COPD patients are receiving long-term NIV therapy following acute NIV treatment in hospital.4,9,12 This is where the proper handling of mouth leakage is thought to form an integral part of successful NIV during COPD exacerbation.2,3,9,10 Both nasal masks and oronasal masks have been successfully used in the past to deliver HI-NIV,6,13,14 although no randomized controlled trials have been performed thus far to compare these two different interfaces in COPD patients. However, HI-NIV is reportedly associated with significant leakage,13 which can occur either via an open mouth (mouth leakage) or the mask itself, which is not fitted in an airtight manner (mask leakage). Thus, the choice of interface, especially during HI-NIV, is suggested to affect the degree of leakage as well as subsequent sleep quality and gas exchange, all of which ultimately determine the quality of nocturnal NIV. For this reason, the impact of the interface not only on sleep quality and gas exchange, but also on the patient preferences suggested by the ERS guidelines,4 needs to be clearly established. The present study aimed to compare the impact of nasal versus oronasal masks on sleep quality and nocturnal gas exchange in patients receiving HI-NIV for the treatment of chronic hypercapnic respiratory failure due to COPD. A crossover randomized trial was set up for this purpose.

Patients and Methods

The study protocol was approved by the ethics committee at Witten/Herdecke University. The study was performed in accordance with the ethical standards laid down in the Declaration of Helsinki and was registered at the German Clinical Trials Registry (DRKS00007741). The study was undertaken at the Department of Pneumology, Lung Clinic, Cologne Merheim Hospital, Witten/Herdecke University, Germany.

Inclusion and Exclusion Criteria

COPD patients with moderate to severe airflow limitation were included in the study as defined by GOLD Guidelines.15,16 Patients needed to have been on NIV for at least one month prior to inclusion, and in a stable disease state without any signs of acute respiratory failure (pH <7.35), respiratory infection, or worsening of symptoms during the preceding month. Patients with a body mass index (BMI) ≥35 kg/m2 were excluded from the study in order to prevent the inclusion of overlap patients predominantly suffering from obesity hypoventilation syndrome.17,18 Upon meeting all inclusion criteria, patients were approached by a respiratory physician. Informed written consent was obtained from all subjects.

Measurements

Participants underwent body plethysmography,19 CO-diffusion capacity tests and capillary blood gas analyses. Furthermore, each patient was monitored by polysomnography (PSG) to assess sleep quality and efficiency during the interventions.20,21 This was supplemented by overnight transcutaneous PCO2 monitoring (PtcCO2) proving evidence for alveolar ventilation. Satisfaction with mask interface, sensation of dyspnea, mouth dryness and comfort were assessed subjectively via survey.

Study Design

The study had a randomised, open-label, two-treatment, two-period crossover design for comparison of nasal masks and oronasal masks with respect to sleep quality and nocturnal gas exchange. Patients were randomised to receive the masks either in the sequence of nasal mask in the first measurement night followed by oronasal mask in the second measurement night the following day, or oronasal followed by nasal. Acclimatization to either interface was carried out during daytime prior to the measurement night with the corresponding mask. Mask adaption was carried out by a specially trained respiratory therapist with individual adaptation to each patient’s need. No chinstraps were made use of, when dealing with nasal mask interface. Despite the prospective design of the trial, a conscious decision was made against fixed mask models for nasal and oronasal interface as this trial targeted to achieve real-life conditions, as experience showed, that one interface does not fit all patients. It was therefore decided to choose commercially available models only. No changes to medication were made, and participants did not take any hypnotic or antidepressant drugs, sleep medication, or alcohol prior to the sleep trials. Full PSG and PtcCO2 monitoring as well as early-morning blood gas analyses were performed during both nights whilst the patient was on the ventilator. Following the 2-night sleep trial, patients were required to answer a specifically developed survey (12 items using a 100 mm Visual analogue scale (VAS), higher score = does apply; lower score = does not apply) regarding their level of satisfaction with the interfaces.

Analysis

Sleep efficiency served as the primary outcome. The secondary outcomes were: (i) mean nocturnal PtcCO2, (ii) the percentage of slow-wave sleep (stages 3 and 4), (iii) the percentage of REM sleep, and (iv) the results of the specifically designed patient survey, depicted on a 100mm VAS, from which mask preferences and the associated factors were analysed. The sample-size calculation was based on the primary endpoint of sleep efficiency. The study was planned to show a difference between the two interfaces at a two-sided significance level of 0.05 with a power of 90%, using the assumption that a minimal clinically relevant difference in sleep efficiency of 8% is present, as previously proposed.8 Based on previous studies, we estimated the standard deviation of the difference in sleep efficiency between the two interfaces to be 12.5%.22 Using these assumptions, a sample-size of 28 randomized patients was required under the crossover design. All values are shown as mean ± SD unless stated otherwise. Further details on measurements, sleep studies, NIV, study design and analysis are provided in the online data supplement.

Results

A total of 44 COPD patients with long-term HI-NIV were screened, and 34 of these were consecutively randomized to one of the two intervention groups. Thirty patients completed both parts of the trial (Figure 1). Demographic data, blood gases, basic lung function data and ventilator settings are presented in Table 1. More detailed data on the body plethysmography measurements are displayed in the online data (). Further information about the different ventilators and interfaces used for HI-NIV is outlined in the online data (). For the exhalation system, 7 and 23 patients used active valve and passive leak port circuits, respectively. Active humidification was used in 22 patients, while humidification was not provided in 8 patients. Finally, 24 patients received long-term oxygen therapy in addition to HI-NIV, with a mean oxygen flow rate of 2.4±1.3 L/min. Apnea-Hypopnea Index measured via PSG was 3.6±8.1 events/hour for patients using oronasal mask and 3.4±8.9 for patients using nasal mask.
Figure 1

CONSORT flow diagram of the study enrollment process.25

Table 1

Patient Characteristics at Baseline

Characteristicsn = 30
Age [years]64.9 ± 8.8
Female sex [%]63.3%
FEV1 after bronchodilation [%pred]33.5 ± 12.9
FVC [%pred]52.5 ± 13.9
FEV1/FVC ratio [%pred]50.9 ± 18.3
TLC [%pred]114.2 ± 23.2
RV [%pred]185.9 ± 79.5
Cumulative smoking dosage [pack years]*52.7 ± 27.9
BMI [kg/m2]25.6 ± 5.9
pH7.39 ± 0.03
PaO2 [mmHg]68.1 ± 13.4
PaCO2 [mmHg]48 ± 6.5
HCO3[mmol/l]27.5 ± 3.2
IPAP [cmH2O]26 ± 2.6
EPAP [cmH2O]5.3 ± 0.9
Backup frequency [/min]17 ± 1

Note: *23 patients were ex-smokers (77%) and 7 patients were current smokers (23%).

Abbreviations: FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; RV, residual volume; TLC, total lung capacity; BMI, body mass index; PaO2, partial pressure of arterialized oxygen; PaCO2, partial pressure of arterialized carbon dioxide; HCO3−, arterialized standard hydrogen carbonate; IPAP, inspiratory positive airway pressure; EPAP, expiratory positive airway pressure.

Patient Characteristics at Baseline Note: *23 patients were ex-smokers (77%) and 7 patients were current smokers (23%). Abbreviations: FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; RV, residual volume; TLC, total lung capacity; BMI, body mass index; PaO2, partial pressure of arterialized oxygen; PaCO2, partial pressure of arterialized carbon dioxide; HCO3−, arterialized standard hydrogen carbonate; IPAP, inspiratory positive airway pressure; EPAP, expiratory positive airway pressure. CONSORT flow diagram of the study enrollment process.25 The results of the nocturnal assessments for each of the two mask-sequence interventions are compared in Table 2. In terms of the primary endpoint, there was a clinically relevant difference in sleep efficiency of >8% (as established in previous trials) (9.9%; 95% CI: [−0.2%; 20.0%]) in favor of the oronasal mask (Table 2, Figure 2A), but this did not reach statistical significance (p=0.0537). In addition, there was a statistically significant difference in the relative amount of slow-wave sleep (12.7%, 95% CI [6.0%; 19.3%], P=0.0005) in favor of the oronasal interface (Table 2, Figure 2B).
Table 2

Results of the Blood Gas Analyses, Transcutaneous PCO2 Monitoring, Pulse Oximetry and Polysomnography for Each Group

PeriodNasal MaskOronasal MaskTreatment Effect (95% CI)P-value
SaO2 minimum [%]183±7.385.3±6.1−1.2 (−3.9; 1.6)0.4
286.2±481.7±8.8
SaO2 mean [%]194±3.694±2.80.5 (−0.97; 1.96)0.5
293.6±2.294.6±2.8
PaCO2 [mmHg]147.1±6.947.8±4.8−1.5 (−3.3; 0.4)0.11
250±5.345.8±7
PaO2 [mmHg]178.6±22.370.2±10.1−0.5 (−6.7; 5.6)0.86
269.5±1676.4±23.1
pH17.4±0.057.4±0.040.01 (−0.002; 0.02)0.11
27.4±0.037.4±0.05
HCO3 [mmol/l]128.6±2.727.8±2.3−0.01 (−0.7; 0.7)0.97
228.4±2.929±3.2
PtcCO2 mean [mmHg]149.8±846.5±8.7−1.2 (−3.6; 1.1)0.29
248.1±5.148.8±6.4
Sleep efficiency [%]149.5±20.757.6±19.49.9 (−0.2; 19.9)0.0537
251.4±3063.1±20.7
Total sleep time [min]1210.3±105.9231.3±82.322.2 (−20; 64.5)0.29
2243.8±116.8267.3±119.2
Sleep latency [min]149.3±38.246.5±43.93.7 (−14.7; 22.3)0.68
234.1±25.743.4±42.7
Sleep Stage 1/2 [%]156.9±2649.7±18.1−6.2 (−15.9; 3.5)0.2
252.6±23.347.4±21.1
Sleep Stage 1/2 [min]1120.9±66.9110.9±55−2.3 (−30.3; 25.6)0.87
2119.7±70.4125.1±62.9
Stage 3/4 [%]120.1±21.935.6.5±17.212.7 (6.0; 19.3)0.0005
224.0±15.933.9±26.1
Stage 3/4 [min]150±5879.9±45.726.6 (−3.3; 56.4)0.08
266.4±49.389.7±90
REM [%]110.1±9.211±5.81.3 (−2.6; 5.1)0.51
213±9.814.6±9.1
REM [min]126.8±27.529.2±205 (−4.6; 14.7)0.29
234.8±29.642.5±27.3
Arousals [/h]121.6±21.916.7±20.6−3.4 (−38.5; 38.3)0.99
215.3±9.316.8±15.9

Note: All values are mean ± SD if not stated otherwise.

Abbreviations: SaO2, arterialized oxygen saturation; PaCO2, partial pressure of arterialized carbon dioxide; PaO2, partial pressure of arterialized oxygen; HCO3−, arterialized standard hydrogen carbonate; PtcCO2, partial pressure of transcutaneous carbon dioxide; REM, rapid eye movement.

Figure 2

(A) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks (primary endpoint). (B) Relative proportions of stage-3/4 sleep (mean ± SD) with oronasal versus nasal masks (secondary endpoint).

Results of the Blood Gas Analyses, Transcutaneous PCO2 Monitoring, Pulse Oximetry and Polysomnography for Each Group Note: All values are mean ± SD if not stated otherwise. Abbreviations: SaO2, arterialized oxygen saturation; PaCO2, partial pressure of arterialized carbon dioxide; PaO2, partial pressure of arterialized oxygen; HCO3−, arterialized standard hydrogen carbonate; PtcCO2, partial pressure of transcutaneous carbon dioxide; REM, rapid eye movement. (A) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks (primary endpoint). (B) Relative proportions of stage-3/4 sleep (mean ± SD) with oronasal versus nasal masks (secondary endpoint). Figure 3 presents the individual data for sleep efficiency (primary outcome) in relation to the interface the patient was familiar with at study inclusion. Accordingly, patients who had previously used nasal masks on a regular basis showed no relevant change in mean sleep efficiency when they switched to an oronasal mask (Figure 3A). In contrast, patients who had regularly used an oronasal mask prior to the study showed a significant deterioration in mean sleep efficiency when they switched to a nasal mask (Figure 3B). However, from an individual perspective, there was a broad variety of changes in sleep efficiency when the switch was made from one interface to the other (Figures 3A and B).
Figure 3

(A) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks in patients who were already accustomed to a nasal mask at study inclusion. Patients who had finally changed the interface are given in orange. (B) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks in patients who were already accustomed to an oronasal mask at study inclusion. Patients who had finally changed the interface are given in green.

(A) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks in patients who were already accustomed to a nasal mask at study inclusion. Patients who had finally changed the interface are given in orange. (B) Relative proportions of sleep efficiency (mean ± SD) with oronasal versus nasal masks in patients who were already accustomed to an oronasal mask at study inclusion. Patients who had finally changed the interface are given in green. Subjective evaluation of sleep showed no differences related to the type of mask, with the exception of items dealing with leakage, which were rated in favor of nasal masks (Figure 4, ). Due to subjective preference, 9 out of the 21 patients who used an oronasal mask prior to the study decided to switch to a nasal mask after the study (42,8%), while 4 out of 9 patients who were previously established on a nasal mask decided to switch to an oronasal mask thereafter (44,4%) (). Differences in the subjective evaluation of sleep (mean of all 12 items) in terms of nasal versus oronasal masks were not correlated with differences in sleep efficiency (r = 0.247; P = 0.19; ). Finally, the patient’s preferred choice of interface was independent of differences in both sleep efficiency () and nocturnal PtcCO2 when the two interfaces were compared (). In contrast, patients decided to continue with the interface that was associated with a lower frequency of dyspnea, as illustrated in Figure 5.
Figure 4

A visual analogue scale depicting the results of the subjective sleep survey on mask preference for nasal versus oronasal masks (Higher scores = does apply; lower scores = does not apply).

Figure 5

Individual subjective absence of dyspnea under each mask interface. Grey columns: patient favored oronasal mask. White columns: patient favored nasal mask.

A visual analogue scale depicting the results of the subjective sleep survey on mask preference for nasal versus oronasal masks (Higher scores = does apply; lower scores = does not apply). Individual subjective absence of dyspnea under each mask interface. Grey columns: patient favored oronasal mask. White columns: patient favored nasal mask.

Discussion

This is the first randomized crossover trial to compare two different interfaces used for HI-NIV in COPD-patients. The interfaces were comparatively assessed in terms of their impact on various aspects of sleep quality and alveolar ventilation. In terms of the primary outcome, there was a trend towards improved sleep efficiency when an oronasal instead of a nasal mask was used during nocturnal NIV. The estimated difference between masks of nearly 10% was even larger than the assumed clinically relevant difference of 8%, which was established during sample size calculation for the study. At the 5% level of statistical significance, sleep efficiency was not found to differ in relation to the type of mask used. This was due to the large confidence interval, which resulted from an observed standard deviation of about 27% and was hence much larger than the value of 12.5% that was established during the planning of the study.22 In addition, while the two interfaces each had a similar impact on oxygenation, alveolar ventilation, early-morning blood gases, and numerous parameters of sleep quality, the oronasal mask had a more favorable association with the relative proportion of stage-3/4 sleep, although it needs to be addressed, that this was a two-night trial, and this finding needs to be addressed in further larger trials. Furthermore, we found that more patients deteriorated severely in terms of sleep efficiency when switching from an oronasal to a nasal mask, as against to patients switching from a nasal to an oronasal interface, which might have led to the detected difference in sleep efficiency. In total, no clear advantage of either the oronasal or nasal mask was found with regard to the objectively assessed quality of nocturnal ventilation. Major findings of this trial were as follows: Firstly, there was broad diversity amongst individual patients concerning the differences between the two interfaces, and this held true for both subjective and objective assessments. Even though most of the mean outcomes only differed slightly between the two interfaces, the individual changes were substantial in some patients, reflecting both improvements and deteriorations following the change of interface; this was independent of the primary interface the patient was already accustomed to. Interestingly, more than 40% of the study participants ultimately preferred the alternative mask for the continuation of HI-NIV at home when compared to the mask they were accustomed to, and again, this was irrespective of the type of the interface. Secondly, subjective evaluation of sleep quality did not show an obvious overall benefit of either interface, with the exception that the nasal mask appeared to be advantageous for events related to nocturnal leakage. In addition, subjective evaluation of sleep was independent of objectively assessed sleep quality when the different interfaces were compared. More importantly, the preferred choice of interface by patients was not dependent on sleep efficiency or gas exchange, but was highly associated with the occurrence of dyspnea during nocturnal NIV. The current findings have potential clinical significance. In the first instance, both the nasal and oronasal mask generally appear to be similarly capable of delivering HI-NIV to COPD patients. However, from an individual standpoint, the choice of interface substantially influences the quality of nocturnal ventilation in terms of both subjective and objective parameters. From this data, it can be concluded that both types of interface should be tested in each individual patient. This could be especially relevant if NIV is not effective or not particularly well tolerated under the use of a specific interface, whereas the alternative interface has the individual potential to be much more effective and/or better tolerated. The current findings are partly in contrast to previous trials investigating the different interfaces concerning their impact on nocturnal ventilation and sleep efficiency.8 Both, the trial by Wilson et al and the current one showed that both interfaces are equally applicable in term of gas exchange. In terms of sleep efficiency there were diverging results. Wilson et al showed a better sleep efficiency under nasal mask, whereas the current trial showed an improvement under oronasal interface. A possible explanation might be the diverse patient selection in the aforementioned trial, where 18 patients were included with 6 different underlying diseases. Furthermore, all patients in the trial by Wilson et al were used to a nasal interface prior to inclusion. Previous randomized crossover trials comparing different ventilatory modes for NIV in COPD and non-COPD patients have also shown that there are no clear overall differences in the quality of nocturnal ventilation. This was the case when pressure was compared to volume preset ventilation23,24 and classical fixed-pressured ventilation was compared to target volume ventilation;14 however, the extent of individual differences in both sleep quality and nocturnal gas exchange was substantial and similar to what was observed in the current study. Therefore, not only the technical aspects of long-term NIV, such as the type of the ventilatory mode, but also the interface, need to be carefully addressed in individual patients. The ERS guidelines for long-term home NIV in COPD patients recently defined sleep quality and gas exchange, amongst other factors, as non-critical outcomes that would not take priority in subsequent guideline decision-making. On the other hand, dyspnea as well as mortality, hospitalization, exacerbation, and health-related quality of life have all been defined as critical outcomes.4 Dyspnea was the main factor in determining patients’ mask preferences, while objective sleep quality and gas exchange did not have an impact on this aspect. In this regard, it has previously been suggested that the patient’s preferred choice of interface serves as an effective basis for the selection of interface for long-term NIV treatment.7 This is clearly supported by the current findings. The current study has several limitations. Firstly, patients were already familiar with either a nasal or an oronasal mask, since they were not NIV-naive prior to study inclusion. Furthermore, more patients had already received an oronasal mask for long-term NIV. Therefore, a bias regarding the impact of the mask the patients was accustomed to can certainly not be excluded, since changing the mask after acclimatization to the complementary mask could negatively influence subjective acceptance and subsequent sleep quality. However, following mask exchange in both directions as frequently observed, not only deteriorations, but also improvements in both sleep quality and nocturnal gas exchange were observed on an individual basis when switching from the interface the patients were accustomed to the complementary one. Notably, more than 40% of patients decided for themselves to continue long-term NIV with the mask that they were not already familiar with, regardless of the type of interface they had used prior to study inclusion. Secondly, leakages during nocturnal NIV were only assessed subjectively and qualitatively, not quantitatively, even though significant leakage is particularly known to occur during HI-NIV.13 However, the type of interface is thought to affect nocturnal leakage. Accordingly, leakage can occur via an open mouth in patients fitted with a nasal mask, or via the mask itself when it is not fitted in an air-tight manner, which is true both interface types; this is suggested to be dependent on the mask circumference, which is bigger in oronasal masks. Interestingly, subjective acceptance of the interface with regard to leakage was better when a nasal mask was used, even though this type of interface does not cover the mouth. This could indicate that mask leakage is subjectively more important than mouth leakage, and may hence play a role in determining interface acceptance. Thirdly, this crossover study only assessed the short-term effects of two different interfaces over two consecutive nights. It therefore remains unclear how the choice of the interface affects long-term and critical outcomes as defined by the ERS guidelines.4 Given that individual differences in ventilation quality were observed related to the type of the interface, the choice of the interface might also influence long-term and critical outcomes, and this should be verified by future trials. In conclusion, nasal and oronasal masks are generally comparable in terms of their ability to deliver high-intensity non-invasive ventilation to COPD patients. While a trend towards improved objective sleep quality was observed in patients who were fitted with an oronasal mask, less leakage impairment was subjectively reported by patients when they wore a nasal mask. Despite this, the evident advantages and disadvantages associated with nasal and oronasal masks varied broadly amongst individual patients, particularly in relation to the different subjective and objective parameters of sleep and ventilation quality. This occurred regardless of the type of interface the patient was already accustomed to. Finally, more than 40% of patients requested to switch from their usual interface to the alternative mask, irrespective of their sleep quality or control of nocturnal hypoventilation. Indeed, the patient’s wish to continue long-term non-invasive ventilation with a specific interface is likely to depend on its ability to prevent dyspnea during nocturnal non-invasive ventilation.
  24 in total

1.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials.

Authors:  D Moher; K F Schulz; D G Altman
Journal:  Lancet       Date:  2001-04-14       Impact factor: 79.321

Review 2.  Clinical indications for noninvasive positive pressure ventilation in chronic respiratory failure due to restrictive lung disease, COPD, and nocturnal hypoventilation--a consensus conference report.

Authors: 
Journal:  Chest       Date:  1999-08       Impact factor: 9.410

3.  Randomised crossover study of pressure and volume non-invasive ventilation in chest wall deformity.

Authors:  J M Tuggey; M W Elliott
Journal:  Thorax       Date:  2005-08-05       Impact factor: 9.139

4.  Noninvasive ventilation in COPD: impact of inspiratory pressure levels on sleep quality.

Authors:  Michael Dreher; Emelie Ekkernkamp; Stephan Walterspacher; David Walker; Claudia Schmoor; Jan H Storre; Wolfram Windisch
Journal:  Chest       Date:  2011-05-12       Impact factor: 9.410

5.  German National Guideline for Treating Chronic Respiratory Failure with Invasive and Non-Invasive Ventilation - Revised Edition 2017: Part 2.

Authors:  Wolfram Windisch; Jens Geiseler; Karsten Simon; Stephan Walterspacher; Michael Dreher
Journal:  Respiration       Date:  2018-06-26       Impact factor: 3.580

6.  Patterns of home mechanical ventilation use in Europe: results from the Eurovent survey.

Authors:  S J Lloyd-Owen; G C Donaldson; N Ambrosino; J Escarabill; R Farre; B Fauroux; D Robert; B Schoenhofer; A K Simonds; J A Wedzicha
Journal:  Eur Respir J       Date:  2005-06       Impact factor: 16.671

Review 7.  Why High-Intensity NPPV is Favourable to Low-Intensity NPPV: Clinical and Physiological Reasons.

Authors:  S B Schwarz; F S Magnet; W Windisch
Journal:  COPD       Date:  2017-05-11       Impact factor: 2.409

Review 8.  Obesity hypoventilation syndrome.

Authors:  Juan F Masa; Jean-Louis Pépin; Jean-Christian Borel; Babak Mokhlesi; Patrick B Murphy; Maria Ángeles Sánchez-Quiroga
Journal:  Eur Respir Rev       Date:  2019-03-14

9.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

10.  Evaluation and Management of Obesity Hypoventilation Syndrome. An Official American Thoracic Society Clinical Practice Guideline.

Authors:  Babak Mokhlesi; Juan Fernando Masa; Jan L Brozek; Indira Gurubhagavatula; Patrick B Murphy; Amanda J Piper; Aiman Tulaimat; Majid Afshar; Jay S Balachandran; Raed A Dweik; Ronald R Grunstein; Nicholas Hart; Roop Kaw; Geraldo Lorenzi-Filho; Sushmita Pamidi; Bhakti K Patel; Susheel P Patil; Jean Louis Pépin; Israa Soghier; Maximiliano Tamae Kakazu; Mihaela Teodorescu
Journal:  Am J Respir Crit Care Med       Date:  2019-08-01       Impact factor: 21.405

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