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Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.

ABSTRACT: Acute brain dysfunction (ABD) is a frequent and severe syndrome occurring in critically ill patients and early identification of high-risk patients is paramount. In the present analysis, we propose a clinically applicable model for early phenotype identification of ABD at the bedside in mechanically ventilated patients, improving the recognition of patients with prolonged ABD.Prospective cohort with 629 mechanically ventilated patients in two medical-surgical intensive care units at academic centers. We applied cluster analysis to identify phenotypes using clinical and biological data. We then tested the association of phenotypes and its respective clinical outcomes. We performed a validation on a new cohort of patients select on subsequent patients admitted to the participants intensive care units.A model with 3 phenotypes best described the study population. A 4-variable model including medical admission, sepsis diagnosis, simplified acute physiologic score II and basal serum C-reactive protein (CRP) accurately classified each phenotype (area under curve 0.82; 95% CI, 0.79-0.86). Phenotype A had the shorter duration of ABD (median, 1 day), while phenotypes B and C had progressively longer duration of ABD (median, 3 and 6 days, respectively; P?

SUBMITTER: Souza-Dantas VC

PROVIDER: S-EPMC7440320 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.

Souza-Dantas Vicente Cés VC Dal-Pizzol Felipe F Tomasi Cristiane D CD Spector Nelson N Soares Márcio M Bozza Fernando A FA Póvoa Pedro P Salluh Jorge I F JIF

Medicine 20200501 18

Acute brain dysfunction (ABD) is a frequent and severe syndrome occurring in critically ill patients and early identification of high-risk patients is paramount. In the present analysis, we propose a clinically applicable model for early phenotype identification of ABD at the bedside in mechanically ventilated patients, improving the recognition of patients with prolonged ABD.Prospective cohort with 629 mechanically ventilated patients in two medical-surgical intensive care units at academic cen ...[more]

PMID: 32358385

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Project description:The impact of extrapulmonary organ dysfunction, independent from sepsis and lung injury severity, on outcomes in pediatric acute respiratory failure is unclear. We sought to determine the frequency, timing, and risk factors for extrapulmonary organ dysfunction and the independent association of multiple organ dysfunction syndrome with outcomes in pediatric acute respiratory failure.Secondary observational analysis of the Randomized Evaluation of Sedation Titration for Respiratory Failure cluster-randomized prospective clinical trial conducted between 2009 and 2013.Thirty-one academic PICUs in the United States.Two thousand four hundred forty-nine children mechanically ventilated for acute respiratory failure enrolled in Randomized Evaluation of Sedation Titration for Respiratory Failure.Organ dysfunction was defined using criteria published for pediatric sepsis. Multiple organ dysfunction syndrome was defined as respiratory dysfunction one or more extrapulmonary organ dysfunctions. We used multivariable logistic regression to identify risk factors for multiple organ dysfunction syndrome, and logistic or proportional hazards regression to compare clinical outcomes. All analyses accounted for PICU as a cluster variable. Overall, 73% exhibited extrapulmonary organ dysfunction, including 1,547 (63%) with concurrent multiple organ dysfunction syndrome defined by onset on day 0/1 and 244 (10%) with new multiple organ dysfunction syndrome with onset on day 2 or later. Most patients (93%) with indirect lung injury from sepsis presented with concurrent multiple organ dysfunction syndrome, whereas patients with direct lung injury had both concurrent (56%) and new (12%) multiple organ dysfunction syndrome. Risk factors for concurrent multiple organ dysfunction syndrome included older age, illness severity, sepsis, cancer, and moderate/severe lung injury. Risk factors for new multiple organ dysfunction syndrome were moderate/severe lung injury and neuromuscular blockade. Both concurrent and new multiple organ dysfunction syndrome were associated with 90-day in-hospital mortality (concurrent: adjusted odds ratio, 6.54; 95% CI, 3.00-14.25 and new: adjusted odds ratio, 3.21; 95% CI, 1.48-6.93) after adjusting for sepsis, moderate/severe lung injury, and other baseline characteristics.Extrapulmonary organ dysfunction was common, generally occurred concurrent with respiratory dysfunction (especially in sepsis), and was a major risk factor for mortality in pediatric acute respiratory failure.

Project description:BackgroundAcute respiratory distress syndrome (ARDS) is a heterogeneous syndrome, and the identification of homogeneous subgroups and phenotypes is the first step toward precision critical care. We aimed to explore whether ARDS phenotypes can be identified using clinical data, are reproducible and are associated with clinical outcomes and treatment response.MethodsThis study is based on a retrospective analysis of data from the telehealth intensive care unit (eICU) collaborative research database and three ARDS randomized controlled trials (RCTs) (ALVEOLI, FACTT and SAILS trials). We derived phenotypes in the eICU by cluster analysis based on clinical data and compared the clinical characteristics and outcomes of each phenotype. The reproducibility of the derived phenotypes was tested using the data from three RCTs, and treatment effects were evaluated.ResultsThree clinical phenotypes were identified in the training cohort of 3875 ARDS patients. Of the three phenotypes identified, phenotype I (n = 1565; 40%) was associated with fewer laboratory abnormalities, less organ dysfunction and the lowest in-hospital mortality rate (8%). Phenotype II (n = 1232; 32%) was correlated with more inflammation and shock and had a higher mortality rate (18%). Phenotype III (n = 1078; 28%) was strongly correlated with renal dysfunction and acidosis and had the highest mortality rate (22%). These results were validated using the data from the validation cohort (n = 3670) and three RCTs (n = 2289) and had reproducibility. Patients with these ARDS phenotypes had different treatment responses to randomized interventions. Specifically, in the ALVEOLI cohort, the effects of ventilation strategy (high PEEP vs low PEEP) on ventilator-free days differed by phenotype (p = 0.001); in the FACTT cohort, there was a significant interaction between phenotype and fluid-management strategy for 60-day mortality (p = 0.01). The fluid-conservative strategy was associated with improved mortality in phenotype II but had the opposite effect in phenotype III.ConclusionThree clinical phenotypes of ARDS were identified and had different clinical characteristics and outcomes. The analysis shows evidence of a phenotype-specific treatment benefit in the ALVEOLI and FACTT trials. These findings may improve the identification of distinct subsets of ARDS patients for exploration in future RCTs.

Project description:Protocolized sedation improves clinical outcomes in critically ill adults, but its effect in children is unknown.To determine whether critically ill children managed with a nurse-implemented, goal-directed sedation protocol experience fewer days of mechanical ventilation than patients receiving usual care.Cluster randomized trial conducted in 31 US pediatric intensive care units (PICUs). A total of 2449 children (mean age, 4.7 years; range, 2 weeks to 17 years) mechanically ventilated for acute respiratory failure were enrolled in 2009-2013 and followed up until 72 hours after opioids were discontinued, 28 days, or hospital discharge.Intervention PICUs (17 sites; n = 1225 patients) used a protocol that included targeted sedation, arousal assessments, extubation readiness testing, sedation adjustment every 8 hours, and sedation weaning. Control PICUs (14 sites; n = 1224 patients) managed sedation per usual care.The primary outcome was duration of mechanical ventilation. Secondary outcomes included time to recovery from acute respiratory failure, duration of weaning from mechanical ventilation, neurological testing, PICU and hospital lengths of stay, in-hospital mortality, sedation-related adverse events, measures of sedative exposure (wakefulness, pain, and agitation), and occurrence of iatrogenic withdrawal.Duration of mechanical ventilation was not different between the 2 groups (intervention: median, 6.5 [IQR, 4.1-11.2] days; control: median, 6.5 [IQR, 3.7-12.1] days). Sedation-related adverse events including inadequate pain and sedation management, clinically significant iatrogenic withdrawal, and unplanned endotracheal tube/invasive line removal were not significantly different between the 2 groups. Intervention patients experienced more postextubation stridor (7% vs 4%; P =?.03) and fewer stage 2 or worse immobility-related pressure ulcers (<1% vs 2%; P =?.001). In exploratory analyses, intervention patients had fewer days of opioid administration (median, 9 [IQR, 5-15] days vs 10 [IQR, 4-21] days; P =?.01), were exposed to fewer sedative classes (median, 2 [IQR, 2-3] classes vs 3 [IQR, 2-4] classes; P <?.001), and were more often awake and calm while intubated (median, 86% [IQR, 67%-100%] of days vs 75% [IQR, 50%-100%] of days; P =?.004) than control patients, respectively; however, intervention patients had more days with any report of a pain score ? 4 (median, 50% [IQR, 27%-67%] of days vs 23% [IQR, 0%-46%] of days; P <?.001) and any report of agitation (median, 60% [IQR, 33%-80%] vs 40% [IQR, 13%-67%]; P =?.003), respectively.Among children undergoing mechanical ventilation for acute respiratory failure, the use of a sedation protocol compared with usual care did not reduce the duration of mechanical ventilation. Exploratory analyses of secondary outcomes suggest a complex relationship among wakefulness, pain, and agitation.clinicaltrials.gov Identifier: NCT00814099.

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Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.

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Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.

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