Literature DB >> 27274216

A randomized clinical trial of neurally adjusted ventilatory assist versus conventional weaning mode in patients with COPD and prolonged mechanical ventilation.

Nai-Ying Kuo1, Mei-Lien Tu2, Tsai-Yi Hung3, Shih-Feng Liu4, Yu-Hsiu Chung4, Meng-Chih Lin4, Chao-Chien Wu4.   

Abstract

BACKGROUND: Patient-ventilator asynchrony is a common problem in mechanically ventilated patients; the problem is especially obvious in COPD. Neutrally adjusted ventilatory assist (NAVA) can improve patient-ventilator asynchrony; however, the effect in COPD patients with prolonged mechanical ventilation is still unknown. The goals of this study are to evaluate the effect of NAVA and conventional weaning mode in patients with COPD during prolonged mechanical ventilation.
METHODS: The study enrolled a total of 33 COPD patients with ventilator dependency for more than 21 days in the weaning center. A diaphragm electrical activity (Edi) catheter was inserted in patients within 24 hours after admission to the respiratory care center, and patients were randomly allocated to NAVA or conventional group. A spontaneous breathing trial was performed every 24 hours. The results correlated with the clinical parameters.
RESULTS: There were significantly higher asynchrony incidence rates in the whole group after using Edi catheter (before vs post-Edi catheter insertion =60.6% vs 87.9%, P<0.001). Asynchrony index: before vs post-Edi catheter insertion =7.4%±8.5% vs 13.2%±13.5%, P<0.01. Asynchrony incidence: NAVA vs conventional =0% vs 84.2%, P<0.001. Asynchrony index: NAVA vs conventional =0 vs 11.9±11.2 (breath %), P<0.001. The most common asynchrony events were ineffective trigger and delayed trigger.
CONCLUSION: Compared to conventional mode, NAVA mode can significantly enhance respiratory monitoring and improve patient-ventilator interaction in COPD patients with prolonged mechanical ventilation in respiratory care center.

Entities:  

Keywords:  COPD; Edi catheter; NAVA (neurally adjusted ventilatory assist); asynchrony index; pneumatic trigger; prolonged mechanical ventilation

Mesh:

Year:  2016        PMID: 27274216      PMCID: PMC4869614          DOI: 10.2147/COPD.S103213

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


Background

In patients with COPD, the process of weaning from mechanical ventilation is frequently complicated and prolonged by physiological and psychological circumstances. The reported rate of weaning failure in COPD is very high, approximately 61%, and as a result, in observed cases, there is 46%–59% prolonged invasive mechanical ventilation.1,2 Asynchrony is a particular problem in patients with mechanical ventilation and noninvasive mechanical ventilation,3,4 with a reported incidence between 10% and 88% during assisted mechanical ventilation.3 Patients with COPD commonly experience asynchrony, primarily due to intrinsic positive end-expiratory pressure (PEEP), air trapping, expiratory flow limitation, excessive sedation, and suboptimal ventilator settings during assisted mechanical ventilation. Asynchrony is also associated with prolonged mechanical ventilation, longer intensive care unit stay, mortality, and respiratory muscle dysfunction; and air leaks are also a major cause of asynchrony during noninvasive ventilation.5–9 Two recent studies found an incidence of asynchrony in 25%–40% of patients on ventilatory assistance. They also found that an asynchrony index >10% is associated with a significantly prolonged time on ventilatory assistance.10,11 In contrast to the findings of Thille and Brochard, De Wit et al, and Chao et al, in the patient group with asynchrony, only 16% were successfully weaned, while 57% in the group without asynchrony were successfully weaned.11–13 In addition, another study by Doorduin et al also demonstrated that poor synchrony (timing errors above 20% between neural drive and pneumatic timing; NeuroSync index) is associated with the number of wasted efforts, which increases the work of breathing and causes NIV failure; worst case scenario will mean intubation in patients with COPD.5 Traditional pneumatic modes used for mechanical ventilation are fixed on the basis of pressure and flow within the airways. Unlike the traditional pneumatic modes, neutrally adjusted ventilatory assist (NAVA) is a spontaneous mode, which triggers, cycles, and regulates gas delivery based on the diaphragmatic electromyography signal via a specially designed nasogastric tube (diaphragm electrical activity [Edi]).14–16 The level of ventilatory assistance is proportional to the patient’s breathing effort, there is no influence of auto-PEEP during the ventilator cycle, since the assistance starts with the patient’s breathing effort, and there should not be any influence from leaks during NIV due to better patient-ventilator interaction.14,17 Several studies have compared pneumatic modes (pressure support) to NAVA, with the majority of studies showing that NAVA improves patient-ventilator interaction, diaphragm efficiency, patient comfort (through synchrony), and sleep quality by increasing the slow-wave sleep. Moreover, NAVA can avoid the risk of excessive assistance and reduced ventilatory drive, and improve physiological parameters, with the delivery of lung protective tidal volumes while allowing patients to breathe spontaneously.16,18–23 This study hypothesizes that in patients with severe COPD who underwent prolonged mechanical ventilation, NAVA will improve weaning outcome compared to conventional weaning methods by improving patient-ventilator interaction. To date, no clinical studies have been published about the effectiveness of NAVA in COPD patients with prolonged mechanical ventilation. The goal of this study is to compare the effect of NAVA to conventional mode in a randomized controlled trial in patients with severe COPD.

Patients and methods

This study was designed as a prospective, randomized, controlled clinical study to determine the weaning efficacy of NAVA vs conventional modes in patients with COPD who endured weaning failure for more than 21 days. The clinical trial registration number is CMRPGB0382. The study enrolled a total of 37 COPD patients with prolonged mechanical ventilation in the respiratory care center (RCC) of Chang Gung Memorial Hospital between June 2012 and October 2014. This work was performed at Kaohsiung Chang Gung Memorial Hospital, Taiwan. The study was approved by the institutional review board of Chang Gung Memorial Hospital (IRB: 104-09970) and informed consent was obtained from the next of kin prior to start of the study. Inclusion criteria were: 1) older than or equal to 45 years with an established diagnosis of COPD, and 2) mechanical ventilation via intubation or tracheotomy, >21 days. Exclusion criteria were: 1) consent refused, 2) hemodynamic instability, 3) unable to breathe spontaneously, 4) poor short-term prognosis (defined as a high risk of death within 3 months), and 5) contraindications to the insertion of a nasogastric tube (such as face and nose fracture, recent nose surgery, esophageal obstruction). After admission to the RCC, all patients were ventilated with a SERVO-i (Maquet, Solna, Sweden), with a clinician-set pressure support level or assist-control. An Edi catheter was inserted within 24 hours if the patient met the inclusion criteria and did not meet any of the exclusion criteria. The breathing capability of the patient was then tested by confirming a stable Edi signal >2 µV. If the Edi signal remained below this level, the ventilatory assistance has to decrease 30% and observe for 10 minutes. After decreasing the ventilatory 30% for 10 minutes and the Edi signal was still below 2 µV, or end-tidal CO2 reached 60 mmHg, the patient was excluded from the study and previous settings were restored. If the Edi signal was still below 2 µV, the patient was excluded from the study and previous settings were restored. Patients able to trigger the ventilator were then randomized to two groups: NAVA and conventional mode. A spontaneous breathing trial (SBT) was performed every 24 hours if the patient met the following criteria: 1) no fever or infection, 2) hemodynamic stability, 3) fraction of inspired oxygen (FiO2) <50%, and 4) PEEP <8 cmH2O. The SBT was performed with a PEEP of 5 cmH2O and pressure-support ventilation (PSV) level of 8 cmH2O. If the SBT was successful, the patient was evaluated for extubation and noninvasive ventilation. If the patient failed the SBT, he was returned to assisted ventilation with a NAVA setting corresponding to 50% of the peak Edi level during the SBT. The PSV group was returned to a PSV level mandated by the conventional weaning protocol. Asynchrony events were obtained from the Edi signal and ventilator graphic waveform. The asynchrony index was calculated by comparing the Edi to the flow waveform during 1 minute. The primary outcomes of the study were to establish the detection rate of asynchrony events using waveform analysis or Edi, respectively, and to evaluate the weaning outcome in COPD patients with prolonged mechanical ventilation using NAVA or conventional weaning mode. The secondary outcomes included total length of mechanical ventilation, the length of RCC stay, hospital stay, and mortality rate after 90 days.

Data analysis

Data collection was performed before Edi catheter insertion, post-Edi catheter insertion, after randomization and implementation of the SBT every 24 hours. Data collection included demographic data, prognostic scores, and ventilator and hemodynamic values. Descriptive statistics were expressed as mean ± standard deviation or median and interquartile range depending on the nature and distribution of the variables. Variables normally distributed were compared by the Student’s t-test. For variables without a normal distribution, the Mann–Whitney U rank test was used for comparison. Categorical variables were compared using Fisher’s exact test. For all comparisons, a difference of P<0.05 was considered statistically significant. All analyses were performed using SPSS 17.0 software.

Results

We included 37 COPD patients with ventilator dependency for more than 21 days, from June 2012 to October 2014. Four patients were excluded from the analysis due to hemodynamic instability. Flowchart of registered patients was presented in Figure 1. The demographic and patient characteristics were presented in Table 1. Clinical data were collected during three different periods: T0: immediately after Edi catheter insertion, T1: after intervention, and T2: at the end of the SBT trial (Table 2).
Figure 1

Flowchart of registered patients.

Abbreviations: NAVA, neurally adjusted ventilatory assist; PSV, pressure-support ventilation; Edi, diaphragm electrical activity; PEEP, positive end-expiratory pressure.

Table 1

Patient characteristics

VariablesNAVA (n=14)Conventional (n=19)P-value
Sex n(%)
 Male11 (78.6%)13 (68.4%)0.51
 Female3 (21.4%)6 (31.6%)
Age, years79.3±6.276.9±9.30.62
IBW (Kg)53.6±11.255.7±1.70.82
Total ICU, days19.4±11.822.3±19.40.08
Ventilator days before26.9±10.727.1±13.00.41
PFT (before admission)
 FEV1/Pred (%)59.0±15.553.5±16.50.51
 FEV1/FVC (%)64.8±18.871.9±17.70.12
SOFA score3.7±2.84.3±2.50.32
APACHE II
 Mean17.4±4.118.7±5.00.42
 ≥1510 (71.4%)15 (78.9%)0.59
Acute lung injury
 Sepsis0 (0%)15.3%0.38
 Bacterial pneumonia6 (42.9%)6 (31.6%)0.50
ICU ventilator data
 TV (mL)415.9±128.7511.0±79.90.02
 TV of IBW (mL/kg)6.8±1.99.4±1.40.01
 RR, breath/min23.3±5.519.7±6.40.05
 MV (L)9.0±2.79.3±2.30.89
 RSBI64.1±28.980.9±38.00.42
Respiratory muscle strength
 MIP (cmH2O)22.9±9.326.4±9.00.35
 MEP (cmH2O)25.5±14.326.9±180.73
Nutrition
 ALB (3.5–5 g/dL)2.6±9.32.7±9.30.68

Notes: Pearson chi-square test was used for sex, Student’s t-test was used for age, body weight, total ICU days, ventilator days before included, and nonparametric method for APACHE II and nutrition. Data is presented as either n(%) or mean ± SD.

Abbreviations: IBW, ideal body weight; PFT, pulmonary function test; TV, tidal volume; RR, respiratory rate; MV, minute volume; RSBI, rapid shallow breathing index; MIP, maximum inspiratory pressure; MEP, maximum expiratory pressure; NAVA, neutrally adjusted ventilatory assist; ICU, intensive care unit; FEV1/pred, predicted forced expiratory volume in 1 second; FEV1/FVC, forced expiratory volume in 1 second/forced vital capacity; APACHE II, Acute Physiology and Chronic Health Enquiry II; ALB, albumin; SOFA, Sequential Organ Failure Assessment.

Table 2

Clinical data collection by T0, T1, T2a

VariablesNAVA (n=14)Conventional (n=19)P-value
T0: data immediately post-Edi catheter insertion
 TV (mL)424.9±102.4448.9±100.60.71
 TV of IBW (mL/kg)7.1±1.98.3±1.90.09
 RR, breath/min22.3±5.222.8±7.30.21
 MV (L)9.7±2.19.4±2.10.78
 TV/Edi (NVE)71.9±41.992.9±66.90.48
 RSBI64.1±28.980.9±38.00.42
 MIP (cmH2O)20.0±1.020.5±9.30.71
 MEP (cmH2O)14.0±0.121.5±10.60.46
 P0.1, cmH2O1.1±1.01.0±1.10.81
 PEEPi, cmH2O2.3±3.43.9±3.70.27
 ALB (3.5–5 g/dL)1.7±1.52.4±0.50.23
T1: data after intervention
Ventilator data
 TV (mL)435.7±109.3463.3±104.30.42
 TV of IBW (mL/kg)7.2±1.88.5±1.80.05
 RR, breath/min26.0±6.723.2±8.70.23
 MV (L)10.5±2.010.2±3.20.68
 TV/Edi (NVE)74.7±54.989.5±70.10.71
 RSBI91.6±57.9127.1±141.30.55
 MIP (cmH2O)25.4±12.626.0±140.96
 MEP (cmH2O)32.0±20.226.1±240.21
 P0.1, cmH2O1.2±1.71.1±0.90.84
 PEEPi, cmH2O2.4±4.92.7±3.60.77
 ALB (3.5–5 g/dL)1.7±1.52.4±0.50.51
T2: data at the end of SBT trial
 TV (mL)373.8±80.9391.6±87.70.67
 TV of IBW (mL/kg)6.1±1.17.2±1.60.05
 RR, breath/min24.7±4.725.7±8.70.87
 MV (L)8.9±2.19.4±2.30.51
 TV/Edi (NVE)54.0±52.554.4±49.90.86
 RSBI104.6±54.2129.6±120.70.87
 MIP (cmH2O)30.9±12.626.7±11.10.42
 MEP (cmH2O)31.6±17.825.9±23.20.16
 ALB (3.5–5 g/dL)2.5±0.73.0±0.10.31

Notes:

Nonparametric method. Data presented as mean ± standard deviation.

Abbreviations: IBW, ideal body weight; NAVA, neutrally adjusted ventilatory assist; TV, tidal volume; RR, respiratory rate; MV, minute volume; RSBI, rapid shallow breathing index; MIP, maximum inspiratory pressure; MEP, maximum expiratory pressure; Edi, diaphragm electrical activity; NVE, tidal volume/neuro-ventilatory efficiency; PEEPi, intrinsic positive end-expiratory pressure; SBT, spontaneous breathing trial; ALB, albumin; p0.1, negative airway pressure generated during the first 100 msec of an occluded inspiration.

After admission to the RCC, an Edi catheter was inserted in all study subjects within 24 hours. Asynchrony recognition rates before and after Edi catheter insertion were described in Figure 2. Asynchrony incidence diagnosed without Edi catheter was 60.6% and after Edi catheter insertion was 87.9% (P<0.001). Asynchrony index without Edi catheter was 7.4% and after Edi catheter insertion was 13.2% (P<0.01). The asynchrony events calculated from the flow waveforms and Edi signals, respectively, were: ineffective trigger 30.3% vs 54.5% (P<0.005); delayed trigger 6.1% vs 27.2% (P<0.008); flow asynchrony 6.1% vs 18.1% (P<0.04); double triggering 9.1% vs 18.1% (P<0.08); auto triggering 9.1% vs 15.1% (P<0.15), and delayed cycling 0% vs 3.0% (P<0.15).
Figure 2

Asynchrony recognition rate before and after Edi catheter insertion.

Notes: Frequencies and Pearson’s chi-squared test. *P<0.05; **P<0.01; ***P<0.001.

Abbreviation: Edi, diaphragm electrical activity.

Asynchrony classification and incidence for NAVA and conventional group were shown in Table 3. Asynchrony index in NAVA vs conventional mode was 0% vs 11.9% (P<0.001); ineffective trigger 0% vs 52.6% (P<0.001); delayed trigger 0% vs 36.8% (P<0.001); flow asynchrony 0% vs 26.3% (P<0.001); and double triggering 0% vs 21.1% (P<0.001). The main asynchrony events in this study were ineffective triggering (42.1%), delayed trigger (31.6%), flow asynchrony (26.3%), and double triggering (21.1%) in the conventional group. The asynchrony index was displayed in Figure 3 and the accumulated asynchrony numbers were displayed in Figure 4. Outcomes in the NAVA and control group were described in Table 4. Mortality rate in NAVA vs the control group in the RCC was 7.1% vs 31.6% (P=0.09); 90-day mortality was 28.6% vs 31.6% (P=0.85); total RCC stay days were 20.3 d ±12.2 d vs 22.1 d ±21.1 d (P=0.78); and total ventilator days were 47.3 d ±28.8 d vs 49.2 d ±36.0 d (P=0.94).
Table 3

Asynchrony index between NAVA and control group (n=33)

Variables n(%)NAVA (n=14)Conventional (n=19)P-value
Asynchrony index016(84.2)<0.001
Asynchrony incidence016(84.2)<0.001
Ineffective trigger010(52.6)<0.001
Delayed trigger07(36.8)<0.001
Flow asynchrony05(26.3)<0.001
Double triggering04(21.1)<0.001
Auto triggering00/0
Premature cycling00/0
Delayed cycling00/0

Abbreviation: NAVA, neurally adjusted ventilatory assist.

Figure 3

Asynchrony index of the all patients.

Notes: Filled circles indicate individual asynchrony index of each patient. Fourteen patients had AI >10% in the control group, but no patients had AI in NAVA mode.

Abbreviations: NAVA, neurally adjusted ventilatory assist; AI, asynchrony index.

Figure 4

Accumulated asynchrony numbers of the NAVA and control group.

Abbreviation: NAVA, neurally adjusted ventilatory assist.

Table 4

Weaning outcome after NAVA and conventional mode

Variables, total (n=33)NAVA (n =14)Conventional (n=19)P-value
RCC mortality (%)1(7.1)6(31.6)0.09
90 days mortality (%)4(28.6)6(31.6)0.94
Total RCC days20.3±12.222.1±21.10.78
Ventilator-free days in 1 month11.6±9.012.2±9.40.84
Total ventilator days47.3±28.849.2±36.00.85
Total hospital days77.0±40.071.7±39.10.92

Notes: Data were presented as either n (%) or mean ± SD.

Abbreviations: NAVA, neurally adjusted ventilatory assist; RCC, respiratory care center.

Discussion

The main finding of this study demonstrates that NAVA improves patient-ventilator interaction compared to conventional mode in COPD patients with prolonged mechanical ventilation. COPD patients with acute respiratory failure requiring mechanical ventilation have frequent episodes of patient-ventilator asynchrony.3,7,24 According to Thille et al and Thille and Brochard, one quarter of all patients had a high rate of asynchrony during assisted ventilation; interestingly, the incidence of asynchrony was nearly 82% in patients who received PSV and 18% during assist-control ventilation.10,11 In our study, 80% (N=23) of the patients who were transferred to our RCC, had a high level of pressure support (PSV level >15 cmH2O) or assist-control ventilation, and incidence of asynchrony was nearly 84% in the control group (N=16). This demonstrates that poor patient-ventilator interaction is a common problem in patients with COPD during invasive mechanical ventilation. On the other hand, in our study, the Edi catheter could effectively provide a real-time demonstration of the degree of synchrony/asynchrony between the patient’s diaphragmatic activity and the conventionally triggered assisted breath.25 Our asynchrony recognition rate after insertion of the Edi catheter was significantly different (P<0.05), indicating that monitoring based on the Edi signal could increase the ability to recognize the rate and the type of asynchrony in difficult to wean patients. The benefit of the Edi signal is enhanced respiratory monitoring. Respiratory monitoring using the Edi signal not only increases the ability to recognize the rate and the type of asynchrony, but may also aid clinical staff in resolving problems earlier.26 Moreover, NAVA will improve patient-ventilator interaction owing to the fact that the pressure applied by the ventilator to the airway opening is proportional to the Edi signal. Sixty-nine percent (N=9) of patients in the NAVA group had better triggering after the change from conventional mode to NAVA mode. Patients with COPD are regarded as particularly difficult to wean after prolonged mechanical ventilation, in our experience more than 21 days.27 Our patients were characterized by old age (>75 years), high Acute Physiology and Chronic Health Enquiry (APACHE) II score (18.2±4.6), moderate obstructive pulmonary disease with multiple organ failure (Sequential Organ Failure Assessment [SOFA] Scale 4.1±2.5), and hypo-albuminuria (albumin [ALB] <3 g/dL). In patients with COPD, the process of weaning from mechanical ventilation is frequently complicated and prolonged by physiological and psychological circumstances such as old age, poor lung function, expiratory flow limitation, air trapping, increased intrinsic PEEP, patient discomfort, dyspnea, and sleep fragmentation, leading to a prolonged weaning process.21,28,29 The weaning outcome and mortality in the NAVA group was better than the conventional group, although the weaning outcome was not significantly different, and some significant physiological results were also found in this study. Hence, further research should focus on enrolling a larger number of patients and recording some index of comfort in order to demonstrate better comfort than pneumatic modes and shorter weaning time in patients with COPD after prolonged mechanical ventilation.

Limitations

There is one major limitation in this study. Our study population was small and it was a single-center trial, hence, the result in weaning outcome is not statistically significant in this study. Although a better drive in NAVA mode, it could be improved if we measure index of comfort in this study.

Conclusion

Compared to conventional monitoring, Edi signal can significantly enhance respiratory monitoring, increasing the ability to recognize the rate and type of asynchrony. Compared to conventional pneumatic trigger, NAVA Edi trigger significantly improved patient-ventilator asynchrony, reduced work of breathing, and enhanced patient comfort by better synchrony in our COPD patients with prolonged mechanical ventilation. The NAVA mode also shows a trend in outcome benefit in the field of RCC mortality.
  25 in total

1.  Patient-ventilator asynchrony during assisted mechanical ventilation.

Authors:  Arnaud W Thille; Pablo Rodriguez; Belen Cabello; François Lellouche; Laurent Brochard
Journal:  Intensive Care Med       Date:  2006-08-01       Impact factor: 17.440

2.  How often does patient-ventilator asynchrony occur and what are the consequences?

Authors:  Scott K Epstein
Journal:  Respir Care       Date:  2011-01       Impact factor: 2.258

3.  Patient-ventilator interaction during pressure support ventilation and neurally adjusted ventilatory assist.

Authors:  Jadranka Spahija; Michel de Marchie; Martin Albert; Patrick Bellemare; Stéphane Delisle; Jennifer Beck; Christer Sinderby
Journal:  Crit Care Med       Date:  2010-02       Impact factor: 7.598

4.  Observational study of patient-ventilator asynchrony and relationship to sedation level.

Authors:  Marjolein de Wit; Sammy Pedram; Al M Best; Scott K Epstein
Journal:  J Crit Care       Date:  2009-01-17       Impact factor: 3.425

Review 5.  Asynchrony and dyspnea.

Authors:  Richard D Branson; Thomas C Blakeman; Bryce R H Robinson
Journal:  Respir Care       Date:  2013-06       Impact factor: 2.258

Review 6.  Clinical review: the ABC of weaning failure--a structured approach.

Authors:  Leo M Heunks; Johannes G van der Hoeven
Journal:  Crit Care       Date:  2010-12-08       Impact factor: 9.097

7.  Neurally adjusted non-invasive ventilation in patients with chronic obstructive pulmonary disease: does patient-ventilator synchrony matter?

Authors:  Stefano Nava; Lara Pisani
Journal:  Crit Care       Date:  2014-11-28       Impact factor: 9.097

8.  Impact of prolonged assisted ventilation on diaphragmatic efficiency: NAVA versus PSV.

Authors:  Rosa Di Mussi; Savino Spadaro; Lucia Mirabella; Carlo Alberto Volta; Gabriella Serio; Francesco Staffieri; Michele Dambrosio; Gilda Cinnella; Francesco Bruno; Salvatore Grasso
Journal:  Crit Care       Date:  2016-01-05       Impact factor: 9.097

9.  Automated patient-ventilator interaction analysis during neurally adjusted non-invasive ventilation and pressure support ventilation in chronic obstructive pulmonary disease.

Authors:  Jonne Doorduin; Christer A Sinderby; Jennifer Beck; Johannes G van der Hoeven; Leo M A Heunks
Journal:  Crit Care       Date:  2014-10-13       Impact factor: 9.097

Review 10.  Neurally adjusted ventilatory assist.

Authors:  Paolo Navalesi; Federico Longhini
Journal:  Curr Opin Crit Care       Date:  2015-02       Impact factor: 3.687

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  8 in total

1.  Neurally adjusted ventilatory assist versus pressure support ventilation in patient-ventilator interaction and clinical outcomes: a meta-analysis of clinical trials.

Authors:  Chongxiang Chen; Tianmeng Wen; Wei Liao
Journal:  Ann Transl Med       Date:  2019-08

2.  Outcomes of ventilatory asynchrony in patients with inspiratory effort.

Authors:  Frank Daniel Martos-Benítez; Yairén Domínguez-Valdés; Dailé Burgos-Aragüez; Hilev Larrondo-Muguercia; Versis Orama-Requejo; Karla Ximena Lara-Ponce; Iraida González-Martínez
Journal:  Rev Bras Ter Intensiva       Date:  2020-07-13

3.  Neurally adjusted ventilatory assist versus pressure support ventilation: a randomized controlled feasibility trial performed in patients at risk of prolonged mechanical ventilation.

Authors:  Daniel J Hadfield; Louise Rose; Fiona Reid; Victoria Cornelius; Nicholas Hart; Clare Finney; Bethany Penhaligon; Jasmine Molai; Clair Harris; Sian Saha; Harriet Noble; Emma Clarey; Leah Thompson; John Smith; Lucy Johnson; Phillip A Hopkins; Gerrard F Rafferty
Journal:  Crit Care       Date:  2020-05-14       Impact factor: 9.097

4.  Factors affecting the use of neurally adjusted ventilatory assist in the adult critical care unit: a clinician survey.

Authors:  Philip Anthony Hopkins; Gerrard Francis Rafferty; Daniel Hadfield; Louise Rose; Fiona Reid; Victoria Cornelius; Nicholas Hart; Clare Finney; Bethany Penhaligon; Clare Harris; Sian Saha; Harriet Noble; John Smith
Journal:  BMJ Open Respir Res       Date:  2020-12

Review 5.  Neurally Adjusted Ventilatory Assist in Acute Respiratory Failure-A Narrative Review.

Authors:  Michele Umbrello; Edoardo Antonucci; Stefano Muttini
Journal:  J Clin Med       Date:  2022-03-28       Impact factor: 4.241

6.  Neurally adjusted ventilatory assist as a weaning mode for adults with invasive mechanical ventilation: a systematic review and meta-analysis.

Authors:  Xueyan Yuan; Xinxing Lu; Yali Chao; Jennifer Beck; Christer Sinderby; Jianfeng Xie; Yi Yang; Haibo Qiu; Ling Liu
Journal:  Crit Care       Date:  2021-06-29       Impact factor: 9.097

7.  Neurally Adjusted Ventilatory Assist (NAVA) or Pressure Support Ventilation (PSV) during spontaneous breathing trials in critically ill patients: a crossover trial.

Authors:  Juliana C Ferreira; Fabia Diniz-Silva; Henrique T Moriya; Adriano M Alencar; Marcelo B P Amato; Carlos R R Carvalho
Journal:  BMC Pulm Med       Date:  2017-11-07       Impact factor: 3.317

8.  Patient-ventilator asynchrony in conventional ventilation modes during short-term mechanical ventilation after cardiac surgery: randomized clinical trial.

Authors:  Wagner Souza Leite; Alita Novaes; Monique Bandeira; Emanuelle Olympia Ribeiro; Alice Miranda Dos Santos; Pedro Henrique de Moura; Caio César Morais; Catarina Rattes; Maria Karoline Richtrmoc; Juliana Souza; Gustavo Henrique Correia de Lima; Norma Sueli Pinheiro Modolo; Antonio Christian Evangelista Gonçalves; Carlos Alfredo Ramirez Gonzalez; Maria do Amparo Andrade; Armèle Dornelas De Andrade; Daniella Cunha Brandão; Shirley Lima Campos
Journal:  Multidiscip Respir Med       Date:  2020-04-29
  8 in total

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