End of life decisions in immunocompromised patients with acute respiratory failure.

PURPOSE: To identify patient, disease and organizational factors associated with decisions to forgo life-sustaining therapies (DFLSTs) in critically ill immunocompromised patients admitted to the intensive care unit (ICU) for acute respiratory failure. MATERIAL AND METHODS: We performed a secondary analysis of the international EFRAIM prospective study, which enrolled 1611 immunocompromised patients with acute respiratory failure admitted to 68 ICUs in 16 countries between October 2015 and June 2016. Multivariate logistic analysis was performed to identify independent predictors of DFLSTs. RESULTS: The main causes of immunosuppression were hematological malignancies (50%) and solid tumor (38%). Patients had a median age of 63 yo (54-71). A pulmonologist was involved in the patient management in 38% of cases. DFLSTs had been implemented in 28% of the patients. The following variables were independently associated with DFLSTs: 1) patient-related: older age (OR 1.02 per one year increase, 95% confidence interval(CI) 1.01-1.03,P < 0.001), poor performance status (OR 2.79, 95% CI 1.98-3.93, P < 0.001); 2) disease-related: shock (OR 2.00, 95% CI 1.45-2.75, P < 0.001), liver failure (OR 1.59, 95% CI 1.14-2.21, P = 0.006), invasive mechanical ventilation (OR 1.79, 95% CI 1.31-2.46, P < 0.001); 3) organizational: having a pulmonologist involved in patient management (OR 1.85, 95% CI 1.36-2.52, P < 0.001), and the presence of a critical care outreach services (OR 1.63, 95% CI 1.11-2.38, P = 0.012). CONCLUSIONS: A DFLST is made in one in four immunocompromised patient admitted to the ICU for acute respiratory failure. Involving a pulmonologist in patient's management is associated with less non beneficial care.

Prevalence and Prognosis Impact of Patient-Ventilator Asynchrony in Early Phase of Weaning according to Two Detection Methods.

BACKGROUND: Patient-ventilator asynchrony is associated with a poorer outcome. The prevalence and severity of asynchrony during the early phase of weaning has never been specifically described. The authors' first aim was to evaluate the prognosis impact and the factors associated with asynchrony. Their second aim was to compare the prevalence of asynchrony according to two methods of detection: a visual inspection of signals and a computerized method integrating electromyographic activity of the diaphragm. METHODS: This was an ancillary study of a multicenter, randomized controlled trial comparing neurally adjusted ventilatory assist to pressure support ventilation. Asynchrony was quantified at 12, 24, 36, and 48 h after switching from controlled ventilation to a partial mode of ventilatory assistance according to the two methods. An asynchrony index greater than or equal to 10% defined severe asynchrony. RESULTS: A total of 103 patients ventilated for a median duration of 5 days (interquartile range, 3 to 9 days) were included. Whatever the method used for quantification, severe patient-ventilator asynchrony was not associated with an alteration of the outcome. No factor was associated with severe asynchrony. The prevalence of asynchrony was significantly lower when the quantification was based on flow and pressure than when it was based on the electromyographic activity of the diaphragm at 0.3 min (interquartile range, 0.2 to 0.8 min) and 4.7 min (interquartile range, 3.2 to 7.7 min; P < 0.0001), respectively. CONCLUSIONS: During the early phase of weaning in patients receiving a partial ventilatory mode, severe patient-ventilator asynchrony was not associated with adverse clinical outcome, although the prevalence of patient-ventilator asynchrony varies according to the definitions and methods used for detection.

Ventilator-associated pneumonia during weaning from mechanical ventilation: role of fluid management.

BACKGROUND: Pulmonary edema may alter alveolar bacterial clearance and infectivity. Manipulation of fluid balance aimed at reducing fluid overload may, therefore, influence ventilator-associated pneumonia (VAP) occurrence in intubated patients. The objective of the present study was to assess the impact of a depletive fluid-management strategy on ventilator-associated complication (VAC) and VAP occurrence during weaning from mechanical ventilation. METHODS: We used data from the B-type Natriuretic Peptide for the Fluid Management of Weaning (BMW) randomized controlled trial performed in nine ICUs across Europe and America. We compared the cumulative incidence of VAC and VAP between the biomarker-driven, depletive fluid-management group and the usual-care group during the 14 days following randomization, using specific competing-risk methods (the Fine and Gray model). RESULTS: Among the 304 patients analyzed, 41 experienced VAP, including 27 (17.8%) in the usual-care group vs 14 (9.2%) in the interventional group (P = .03). From the Fine and Gray model, the probabilities of VAC and VAP occurrence were both significantly reduced with the interventional strategy while adjusting for weaning outcome as a competing event (subhazard ratios [25th-75th percentiles], 0.44 [0.22-0.87], P = .02 and 0.50 [0.25-0.96], P = .03, respectively). CONCLUSIONS: Using proper competing risk analyses, we found that a depletive fluid-management strategy, when initiating the weaning process, has the potential for lowering VAP risk in patients who are mechanically ventilated. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00473148; URL: www.clinicaltrials.gov.