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      Noninvasive ventilation with helmet versus control strategy in patients with acute respiratory failure: a systematic review and meta-analysis of controlled studies

      research-article
      1 , , 1 , 2 , 1 ,
      Critical Care
      BioMed Central
      Helmet, Noninvasive ventilation, Facial mask

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          Abstract

          Background

          Noninvasive ventilation (NIV) has proved to be a useful technique for breathing support. However, complications, discomfort, and failure of NIV were commonly caused by the mask. Therefore, the helmet was developed to improve performance and reduce complications; however, there has been no conclusive results on its effect until now. Thus, we performed a systematic review and meta-analysis to investigate the effect of NIV with a helmet versus the control strategy in patients with acute respiratory failure (ARF).

          Methods

          We searched Cochrane Library, PubMed, Ovid, and Embase databases and bibliographies of relevant articles published before June 2016. Randomized and case-control studies that adopted the helmet as an NIV interface and compared it with another interface were included. The primary outcomes were hospital mortality, intubation rate, and complications. The secondary outcomes included the length of intensive care unit (ICU) stay, gas exchange, and respiratory rate. Pooled odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated by the Mantel-Haenszel method and mean difference by the inverse variance method in a fixed effect model or random effects model according to the heterogeneity.

          Results

          A total of 11 studies involving 621 patients were included. The overall hospital mortality was 17.53 % in the helmet NIV group versus 30.67 % in the control group. Use of the helmet was associated with lower hospital mortality (OR 0.43, 95 % CI 0.26 to 0.69, p = 0.0005), intubation rate (OR 0.32, 95 % CI 0.21 to 0.47, P < 0.00001), and complications (OR 0.6, 95 % CI 0.4 to 0.92, P = 0.02). In contrast, there was no significant difference in gas exchange and ICU stay ( P >0.05). Subgroup analysis found the helmet reduced mortality mainly in hypoxemic ARF patients ( P < 0.05) and a lower intubation rate was shown in randomized trials; fewer complications caused by the helmet might be restricted to case-control trials. Additionally, the effect of the helmet on PaCO 2 was influenced by type of ARF and ventilation mode ( P <0.00001).

          Conclusion

          NIV with a helmet was associated with reduced hospital mortality and intubation requirement. The helmet was as effective as the mask in gas exchange with no additional advantage. Large randomized controlled trials are needed to provide more robust evidence.

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          Most cited references54

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          Effect of Noninvasive Ventilation Delivered by Helmet vs Face Mask on the Rate of Endotracheal Intubation in Patients With Acute Respiratory Distress Syndrome: A Randomized Clinical Trial.

          Noninvasive ventilation (NIV) with a face mask is relatively ineffective at preventing endotracheal intubation in patients with acute respiratory distress syndrome (ARDS). Delivery of NIV with a helmet may be a superior strategy for these patients.
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            Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics

            Background Clinical researchers have often preferred to use a fixed effects model for the primary interpretation of a meta-analysis. Heterogeneity is usually assessed via the well known Q and I 2 statistics, along with the random effects estimate they imply. In recent years, alternative methods for quantifying heterogeneity have been proposed, that are based on a 'generalised' Q statistic. Methods We review 18 IPD meta-analyses of RCTs into treatments for cancer, in order to quantify the amount of heterogeneity present and also to discuss practical methods for explaining heterogeneity. Results Differing results were obtained when the standard Q and I 2 statistics were used to test for the presence of heterogeneity. The two meta-analyses with the largest amount of heterogeneity were investigated further, and on inspection the straightforward application of a random effects model was not deemed appropriate. Compared to the standard Q statistic, the generalised Q statistic provided a more accurate platform for estimating the amount of heterogeneity in the 18 meta-analyses. Conclusions Explaining heterogeneity via the pre-specification of trial subgroups, graphical diagnostic tools and sensitivity analyses produced a more desirable outcome than an automatic application of the random effects model. Generalised Q statistic methods for quantifying and adjusting for heterogeneity should be incorporated as standard into statistical software. Software is provided to help achieve this aim.
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              Non-invasive ventilation in community-acquired pneumonia and severe acute respiratory failure.

              The use of non-invasive ventilation (NIV) in severe acute respiratory failure (ARF) due to community-acquired pneumonia (CAP) is controversial, and the risk factors for NIV failure in these patients are not well known. We assessed the characteristics and predictors of outcome of patients with CAP and severe ARF treated with NIV. We prospectively assessed 184 consecutive patients; 102 had "de novo" ARF, and 82 previous cardiac or respiratory disease. We defined successful NIV as avoidance of intubation and intensive care unit (ICU) survival at least 24 h in the ward. We assessed predictors of NIV failure and hospital mortality in multivariate analyses. Patients with "de novo" ARF failed NIV more frequently than patients with previous cardiac or respiratory disease (47, 46% versus 21, 26%, p = 0.007). Worsening radiologic infiltrate 24 h after admission, maximum Sepsis-Related Organ Failure Assessment (SOFA) score and, after 1 h of NIV, higher heart rate and lower PaO(2)/FiO(2) and bicarbonate independently predicted NIV failure. Likewise, maximum SOFA, NIV failure and older age independently predicted hospital mortality. Among intubated patients with "de novo" ARF, NIV duration was shorter in hospital survivors than non-survivors (32 ± 24 versus 78 ± 65 h, p = 0.014). In this group, longer duration of NIV before intubation was associated with decreased hospital survival (adjusted odds ratio 0.978, 95% confidence interval 0.962-0.995, p = 0.012). This association was not observed in patients with previous cardiac or respiratory disease. Successful NIV was strongly associated with better survival. If predictors for NIV failure are present, avoiding delayed intubation of patients with "de novo" ARF would potentially minimise mortality.
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                Author and article information

                Contributors
                +86-0371-66295072 , qi.liu@vip.163.com
                gaoyonghuahust@163.com
                chenrc@vip.163.com
                +86-0371-66295072 , chengzhehi@126.com
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                23 August 2016
                23 August 2016
                2016
                : 20
                : 1
                : 265
                Affiliations
                [1 ]Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Zhengzhou University, 1st Jianshe East Road, Zhengzhou, Henan 450001 People’s Republic of China
                [2 ]Respiratory Mechanics Lab, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, 151st Yanjiang West Road, Guangzhou, Guangdong 510120 People’s Republic of China
                Article
                1449
                10.1186/s13054-016-1449-4
                4994276
                27549178
                95933ead-165e-47c1-a78e-e0a7a75210da
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 25 April 2016
                : 3 August 2016
                Funding
                Funded by: Youth Scholar foundation of the First Affiliated Hospital of Zhengzhou University
                Award ID: 2014
                Award Recipient :
                Funded by: National Nature Science Foundation of China
                Award ID: 81400051
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Emergency medicine & Trauma
                helmet,noninvasive ventilation,facial mask
                Emergency medicine & Trauma
                helmet, noninvasive ventilation, facial mask

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