Literature DB >> 31664500

The harm of high-frequency oscillatory ventilation (HFOV) in ARDS is not related to a high baseline risk of acute cor pulmonale or short-term changes in hemodynamics.

Federico Angriman1,2,3, Bruno L Ferreyro2,3,4, Lachlan Donaldson1,2, Brian H Cuthbertson1,2,3, Niall D Ferguson2,3,4,5, Casper W Bollen6, Thomas E Bachman7, François Lamontagne8, Neill K J Adhikari9,10,11.   

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Year:  2019        PMID: 31664500      PMCID: PMC7223916          DOI: 10.1007/s00134-019-05806-8

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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Dear Editor, The acute respiratory distress syndrome (ARDS) may encompass sub-populations that respond differently to treatments [1]. High-frequency oscillatory ventilation (HFOV) related harm may be due to ventilator-induced lung injury (VILI) or hemodynamic instability explained by right ventricle (RV) failure that is present at baseline or that develops after HFOV is started [2]. Our objective was to evaluate whether the baseline risk of RV failure modified the effect of HFOV on mortality among ARDS patients and whether the effect of HFOV was mediated by short-term changes in hemodynamics. We performed a secondary analysis of an individual patient data meta-analysis (IPDMA) [3] of four trials of HFOV vs. conventional ventilation in adults with ARDS. Because of limited availability of data regarding physiologic changes after randomization, the causal mediation analysis of hemodynamic change included data only from the OSCILLATE trial [4]. The main exposure was HFOV, and the primary outcome was all-cause 30-day mortality. The hypothesized effect modifier (risk of RV failure) was defined by the acute cor pulmonale (ACP) score measured at baseline (pre-randomization) [5]. The hypothesized mediator was change in hemodynamics at 2 h post-randomization, defined as any decrease in either systolic or diastolic blood pressure or any increase in vasopressor dose. To estimate the effect of HFOV across ACP risk categories, we used generalized estimating equations with hospital-level clustering, with covariates selected a priori based on a directed acyclic graph and including the interaction term between HFOV and ACP score ≥ 2. We then performed a causal mediation analysis to determine if the detrimental effect of HFOV on mortality was mediated by change in hemodynamics (see Online appendix). All reported p values are two-sided, with p < 0.05 interpreted as statistically significant. Analyses were performed in STATA v.14.2. Baseline patient characteristics are shown in the Online appendix. For each point increase in the ACP score, there was a 23% increase in the odds of hemodynamic worsening [odds ratio (OR) 1.23, 95% confidence interval (CI) 1.02–1.47]. Patients with ACP score ≥ 2 at baseline were more likely to die (OR 1.79, 95% CI 1.26–2.53, Table 1). However, the effect of HFOV was not modified by the high ACP score (interaction p = 0.18). Our results are reported across subgroups defined by PaO2/FiO2 ratio.
Table 1

Modification of effect on 30-day mortality by baseline risk of right ventricle failure and mediation by hemodynamic changes after randomization among adult patients with ARDS in HFOV trials

Effect modificationAdjusted OR (95% CI)ap value
 Acute cor pulmonale scoreb ≥ 21.79 (1.26–2.53)< 0.01
 HFOV treatment
  Overall1.23 (0.96–1.57)   0.10
  Subgroup analysisc
   Patients with PaO2/FiO2 < 1000.94 (0.66–1.35)   0.75
   Patients with PaO2/FiO2 ≥ 1001.48 (1.12–1.94)< 0.01

ARDS acute respiratory distress syndrome, CI confidence interval, HFOV high-frequency oscillatory ventilation, OR odds ratio, RR risk ratio, RV right ventricle, PaO/FiO arterial oxygen partial pressure to fractional inspired oxygen ratio, NIE natural indirect effect, TE total effect, CDE controlled direct effect, m mediator, APACHE II Acute Physiology and Chronic Health Evaluation II

aBased on a multivariable generalized estimating equation with a logit link, a binomial distribution, clustering at the hospital level and including: age, age2, gender, RV score, HFO treatment allocation, APACHE II, APACHE II2, tidal volume, trial, PaO2/FiO2, the interaction between PaO2/FiO2 and HFOV, and duration of mechanical ventilation prior to randomization. The interaction term between HFOV and RV score as a binary covariate was not statistically significant (p = 0.18)

bThe acute cor pulmonale (ACP) score includes pneumonia as a cause of ARDS, driving pressure ≥ 18 cmH2O, arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2) ratio < 150 mmHg, and arterial carbon dioxide partial pressure ≥ 48 mmHg

cThreshold taken from Meade et.al (Fig. 1, reference 4) and is the value of PaO2/FiO2 where the estimated odds ratio of death for HFOV changes to ≤ 1

dHemodynamic change was assessed 2 h post-randomization and defined by any increased dose of vasopressor or any decrease in either systolic or diastolic blood pressure. The natural direct effect (NDE) expresses how much the outcome of 30-day mortality would change in HFOV vs. conventional mechanical ventilation if the mediator of hemodynamic change were kept at the level it would have taken under conventional ventilation. The natural indirect effect (NIE) expresses how much the outcome would change if the exposure were set to HFOV and the mediator were changed from the level it would take under conventional ventilation to the level it would take under HFOV. The total effect (TE) is the overall change in outcome from conventional ventilation to HFOV groups and is the sum of NDE and NIE

eModels for the outcome were fitted using log-link and bootstrapping-based confidence intervals. Models for the mediator were fitted with a logit link and a binomial distribution. Models allow for mediator-exposure interaction. All models assume no exposure-mediator, exposure-outcome and mediator-outcome confounding

fProportion mediated (NIE/TE): 1.1% (0.0–13.4) and proportion eliminated [(TE − CDE(m = 0))/TE)]: 6.8% (0.0–26.4). Confidence intervals for proportion mediated and eliminated are truncated at 0%

Modification of effect on 30-day mortality by baseline risk of right ventricle failure and mediation by hemodynamic changes after randomization among adult patients with ARDS in HFOV trials ARDS acute respiratory distress syndrome, CI confidence interval, HFOV high-frequency oscillatory ventilation, OR odds ratio, RR risk ratio, RV right ventricle, PaO/FiO arterial oxygen partial pressure to fractional inspired oxygen ratio, NIE natural indirect effect, TE total effect, CDE controlled direct effect, m mediator, APACHE II Acute Physiology and Chronic Health Evaluation II aBased on a multivariable generalized estimating equation with a logit link, a binomial distribution, clustering at the hospital level and including: age, age2, gender, RV score, HFO treatment allocation, APACHE II, APACHE II2, tidal volume, trial, PaO2/FiO2, the interaction between PaO2/FiO2 and HFOV, and duration of mechanical ventilation prior to randomization. The interaction term between HFOV and RV score as a binary covariate was not statistically significant (p = 0.18) bThe acute cor pulmonale (ACP) score includes pneumonia as a cause of ARDS, driving pressure ≥ 18 cmH2O, arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2) ratio < 150 mmHg, and arterial carbon dioxide partial pressure ≥ 48 mmHg cThreshold taken from Meade et.al (Fig. 1, reference 4) and is the value of PaO2/FiO2 where the estimated odds ratio of death for HFOV changes to ≤ 1 dHemodynamic change was assessed 2 h post-randomization and defined by any increased dose of vasopressor or any decrease in either systolic or diastolic blood pressure. The natural direct effect (NDE) expresses how much the outcome of 30-day mortality would change in HFOV vs. conventional mechanical ventilation if the mediator of hemodynamic change were kept at the level it would have taken under conventional ventilation. The natural indirect effect (NIE) expresses how much the outcome would change if the exposure were set to HFOV and the mediator were changed from the level it would take under conventional ventilation to the level it would take under HFOV. The total effect (TE) is the overall change in outcome from conventional ventilation to HFOV groups and is the sum of NDE and NIE eModels for the outcome were fitted using log-link and bootstrapping-based confidence intervals. Models for the mediator were fitted with a logit link and a binomial distribution. Models allow for mediator-exposure interaction. All models assume no exposure-mediator, exposure-outcome and mediator-outcome confounding fProportion mediated (NIE/TE): 1.1% (0.0–13.4) and proportion eliminated [(TE − CDE(m = 0))/TE)]: 6.8% (0.0–26.4). Confidence intervals for proportion mediated and eliminated are truncated at 0% In the OSCILLATE trial (n = 548), the increased mortality among patients receiving HFOV was not mediated by 2 h hemodynamic changes (proportion mediated: 1.1%, 95% CI 0.0–13.4, p = 0.56, Table 1). These results were consistent using alternative definitions of hemodynamic change (cardiac output and MAP). Our study shows that the baseline risk of RV failure among patients with ARDS does not modify the effect of HFOV on 30-day mortality. Furthermore, the effect of HFOV is not mediated by immediate hemodynamic changes. However, patients with a higher baseline ACP risk score are at increased risk of death, a finding likely explained by illness severity. Limitations of the study include lack of echocardiographic definition of RV failure at baseline and after randomization (see Online appendix). Further studies should evaluate specific subgroups of patients with very severe ARDS that may benefit from this treatment strategy. Below is the link to the electronic supplementary material. Supplementary material 1 (pdf 406 kb)
  5 in total

1.  Subphenotypes in acute respiratory distress syndrome: latent class analysis of data from two randomised controlled trials.

Authors:  Carolyn S Calfee; Kevin Delucchi; Polly E Parsons; B Taylor Thompson; Lorraine B Ware; Michael A Matthay
Journal:  Lancet Respir Med       Date:  2014-05-19       Impact factor: 30.700

Review 2.  High-Frequency Oscillatory Ventilation in Adults With ARDS: Past, Present, and Future.

Authors:  Michael C Sklar; Eddy Fan; Ewan C Goligher
Journal:  Chest       Date:  2017-07-03       Impact factor: 9.410

3.  Severity of Hypoxemia and Effect of High-Frequency Oscillatory Ventilation in Acute Respiratory Distress Syndrome.

Authors:  Maureen O Meade; Duncan Young; Steven Hanna; Qi Zhou; Thomas E Bachman; Casper Bollen; Arthur S Slutsky; Sarah E Lamb; Neill K J Adhikari; Spyros D Mentzelopoulos; Deborah J Cook; Sachin Sud; Roy G Brower; B Taylor Thompson; Sanjoy Shah; Alex Stenzler; Gordon Guyatt; Niall D Ferguson
Journal:  Am J Respir Crit Care Med       Date:  2017-09-15       Impact factor: 21.405

4.  Acute cor pulmonale during protective ventilation for acute respiratory distress syndrome: prevalence, predictors, and clinical impact.

Authors:  Armand Mekontso Dessap; Florence Boissier; Cyril Charron; Emmanuelle Bégot; Xavier Repessé; Annick Legras; Christian Brun-Buisson; Philippe Vignon; Antoine Vieillard-Baron
Journal:  Intensive Care Med       Date:  2015-12-09       Impact factor: 17.440

5.  High-frequency oscillation in early acute respiratory distress syndrome.

Authors:  Niall D Ferguson; Deborah J Cook; Gordon H Guyatt; Sangeeta Mehta; Lori Hand; Peggy Austin; Qi Zhou; Andrea Matte; Stephen D Walter; Francois Lamontagne; John T Granton; Yaseen M Arabi; Alejandro C Arroliga; Thomas E Stewart; Arthur S Slutsky; Maureen O Meade
Journal:  N Engl J Med       Date:  2013-01-22       Impact factor: 91.245

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Review 1.  Acute cor pulmonale in patients with acute respiratory distress syndrome: A comprehensive review.

Authors:  Kay Choong See
Journal:  World J Crit Care Med       Date:  2021-03-09

Review 2.  The Physiological Basis of High-Frequency Oscillatory Ventilation and Current Evidence in Adults and Children: A Narrative Review.

Authors:  Andrew G Miller; Herng Lee Tan; Brian J Smith; Alexandre T Rotta; Jan Hau Lee
Journal:  Front Physiol       Date:  2022-04-26       Impact factor: 4.755

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