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      Reappraisal of Ventilator-Free Days in Critical Care Research

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          Abstract

          Ventilator-free days (VFDs) are a commonly reported composite outcome measure in acute respiratory distress syndrome trials. VFDs combine survival and duration of ventilation in a manner that summarizes the “net effect” of an intervention on these two outcomes. However, this combining of outcome measures makes VFDs difficult to understand and analyze, which contributes to imprecise interpretations. We discuss the strengths and limitations of VFDs and other “failure-free day” composites, and we provide a framework for when and how to use these outcome measures. We also provide a comprehensive discussion of the different analytic methods for analyzing and interpreting VFDs, including Student’s t tests and rank-sum tests, as well as competing risk regressions treating extubation as the primary outcome and death as the competing risk. Using simulations, we illustrate how the statistical test with optimal power depends on the relative contributions of mortality and ventilator duration on the composite effect size. Finally, we recommend a simple analysis and reporting framework using the competing risk approach, which provides clear information on the effect size of an intervention, a statistical test and measure of confidence with the ability to adjust for baseline factors and allow interim monitoring for trials. We emphasize that any approach to analyzing a composite outcome, including other “failure-free day” constructs, should also be accompanied by an examination of the components.

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          Statistical evaluation of ventilator-free days as an efficacy measure in clinical trials of treatments for acute respiratory distress syndrome.

          Trials of potential new therapies in acute lung injury are difficult and expensive to conduct. This article is designed to determine the utility, behavior, and statistical properties of a new primary end point for such trials, ventilator-free days, defined as days alive and free from mechanical ventilation. Describing the nuances of this outcome measure is particularly important because using it, while ignoring mortality, could result in misleading conclusions. To develop a model for the duration of ventilation and mortality and fit the model by using data from a recently completed clinical trial. To determine the appropriate test statistic for the new measure and derive a formula for power. To determine a formula for the probability that the test statistic will reject the null hypothesis and mortality will simultaneously show improvement. To plot power curves for the test statistic and determine sample sizes for reasonable alternative hypotheses. Intensive care units. Patients with acute respiratory distress syndrome or acute lung injury as defined by the American-European Consensus Conference. The proposed model fit the clinical data. Ventilator-free days were improved by lower tidal volume ventilation, but the improvement was mostly caused by the improved mortality rate, so trials that expected similar effects would only have modest increase in power if they used ventilator-free days as their primary end point rather than 28-day mortality. Similar results were obtained using the model in two groups segregated by low or high Acute Physiology and Chronic Health Evaluation score. On the other hand, if patients are divided into two groups on the basis of the lung injury score, both the duration of ventilation and mortality are lower in the low lung injury score group. A trial of a treatment that had a similar clinical effect would have a large increase in power, allowing for a reduction in the required sample size. Use of ventilator-free days as a trial end point allows smaller sample sizes if it is assumed that the treatment being tested simultaneously reduces the duration of ventilation and improves mortality. It is unlikely that a treatment that led to higher mortality could lead to a statistically significant improvement in ventilator-free days. This would be especially true if the treatment were also required to produce a nominal improvement in mortality.
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            Lower tidal volume strategy (≈3 ml/kg) combined with extracorporeal CO2 removal versus ‘conventional’ protective ventilation (6 ml/kg) in severe ARDS

            Background Acute respiratory distress syndrome is characterized by damage to the lung caused by various insults, including ventilation itself, and tidal hyperinflation can lead to ventilator induced lung injury (VILI). We investigated the effects of a low tidal volume (V T) strategy (V T ≈ 3 ml/kg/predicted body weight [PBW]) using pumpless extracorporeal lung assist in established ARDS. Methods Seventy-nine patients were enrolled after a ‘stabilization period’ (24 h with optimized therapy and high PEEP). They were randomly assigned to receive a low V T ventilation (≈3 ml/kg) combined with extracorporeal CO2 elimination, or to a ARDSNet strategy (≈6 ml/kg) without the extracorporeal device. The primary outcome was the 28-days and 60-days ventilator-free days (VFD). Secondary outcome parameters were respiratory mechanics, gas exchange, analgesic/sedation use, complications and hospital mortality. Results Ventilation with very low V T’s was easy to implement with extracorporeal CO2-removal. VFD’s within 60 days were not different between the study group (33.2 ± 20) and the control group (29.2 ± 21, p = 0.469), but in more hypoxemic patients (PaO2/FIO2 ≤150) a post hoc analysis demonstrated significant improved VFD-60 in study patients (40.9 ± 12.8) compared to control (28.2 ± 16.4, p = 0.033). The mortality rate was low (16.5 %) and did not differ between groups. Conclusions The use of very low V T combined with extracorporeal CO2 removal has the potential to further reduce VILI compared with a ‘normal’ lung protective management. Whether this strategy will improve survival in ARDS patients remains to be determined (Clinical trials NCT 00538928). Electronic supplementary material The online version of this article (doi:10.1007/s00134-012-2787-6) contains supplementary material, which is available to authorized users.
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              The decision to extubate in the intensive care unit.

              The day of extubation is a critical time during an intensive care unit (ICU) stay. Extubation is usually decided after a weaning readiness test involving spontaneous breathing on a T-piece or low levels of ventilatory assist. Extubation failure occurs in 10 to 20% of patients and is associated with extremely poor outcomes, including high mortality rates of 25 to 50%. There is some evidence that extubation failure can directly worsen patient outcomes independently of underlying illness severity. Understanding the pathophysiology of weaning tests is essential given their central role in extubation decisions, yet few studies have investigated this point. Because extubation failure is relatively uncommon, randomized controlled trials on weaning are underpowered to address this issue. Moreover, most studies evaluated patients at low risk for extubation failure, whose reintubation rates were about 10 to 15%, whereas several studies identified high-risk patients with extubation failure rates exceeding 25 or 30%. Strategies for identifying patients at high risk for extubation failure are essential to improve the management of weaning and extubation. Two preventive measures may prove beneficial, although their exact role needs confirmation: one is noninvasive ventilation after extubation in high-risk or hypercapnic patients, and the other is steroid administration several hours before extubation. These measures might help to prevent postextubation respiratory distress in selected patient subgroups.
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                Author and article information

                Journal
                Am J Respir Crit Care Med
                Am. J. Respir. Crit. Care Med
                ajrccm
                American Journal of Respiratory and Critical Care Medicine
                American Thoracic Society
                1073-449X
                1535-4970
                1 October 2019
                1 October 2019
                1 October 2019
                1 October 2019
                : 200
                : 7
                : 828-836
                Affiliations
                [ 1 ]Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
                [ 2 ]Department of Anesthesiology and Critical Care Medicine
                [ 3 ]Department of Biostatistics, Epidemiology and Informatics, and
                [ 4 ]Palliative and Advanced Illness Research Center, Perelman School of Medicine, and
                [ 5 ]Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
                [ 6 ]Children’s Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania
                [ 7 ]Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts
                [ 8 ]Department of Medicine, Harvard Medical School, Boston, Massachusetts
                [ 9 ]Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; and
                [ 10 ]Department of Pediatrics, University of Utah, Salt Lake City, Utah
                Author notes
                Correspondence and requests for reprints should be addressed to Nadir Yehya, M.D., Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia, Wood Building 6040A, 3401 Civic Center Boulevard, Philadelphia, PA 19104. E-mail: yehyan@ 123456email.chop.edu .
                Author information
                http://orcid.org/0000-0002-2996-217X
                http://orcid.org/0000-0002-0553-674X
                http://orcid.org/0000-0001-5228-6694
                Article
                201810-2050CP
                10.1164/rccm.201810-2050CP
                6812447
                31034248
                c67911b7-5488-4d4c-80ca-a92e43f06c6a
                Copyright © 2019 by the American Thoracic Society

                This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 ( http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern ( dgern@ 123456thoracic.org ).

                History
                : 30 October 2018
                : 29 April 2019
                Page count
                Figures: 2, Tables: 4, Pages: 9
                Categories
                Critical Care Perspective

                acute respiratory distress syndrome,ards,ventilator-free days,vfds,competing risk regression

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