Search results for "LUNG SAFE."

showing 3 items of 3 documents

Identifying associations between diabetes and acute respiratory distress syndrome in patients with acute hypoxemic respiratory failure: an analysis o…

2018

Background: Diabetes mellitus is a common co-existing disease in the critically ill. Diabetes mellitus may reduce the risk of acute respiratory distress syndrome (ARDS), but data from previous studies are conflicting. The objective of this study was to evaluate associations between pre-existing diabetes mellitus and ARDS in critically ill patients with acute hypoxemic respiratory failure (AHRF). Methods: An ancillary analysis of a global, multi-centre prospective observational study (LUNG SAFE) was undertaken. LUNG SAFE evaluated all patients admitted to an intensive care unit (ICU) over a 4-week period, that required mechanical ventilation and met AHRF criteria. Patients who had their AHRF…

AdultMaleDiabetes mellituLUNG SAFEOrgan Dysfunction Scoreshumanoslnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Socio-culturaleOrgan Dysfunction ScoreDiabetes ComplicationsDiabetes mellituspuntuaciones de disfunción orgánicaRisk FactorsDiabetes Complicationestudios prospectivosHumansfactores de riesgoProspective StudiesHospital MortalityHypoxiamediana edadAcute hypoxemic respiratory failureAgedRespiratory Distress SyndromeancianoAcute respiratory distress syndromeResearchRespirationrespiraciónRespiratory Distress Syndrome Adultlcsh:Medical emergencies. Critical care. Intensive care. First aidlcsh:RC86-88.9Middle AgedRespiration Artificialinsuficiencia respiratoriaAcute hypoxemic respiratory failure; Acute respiratory distress syndrome; Diabetes mellitus; LUNG SAFEProspective StudieArtificialAcute hypoxemic respiratory failure; Acute respiratory distress syndrome; Diabetes mellitus; LUNG SAFE; Aged; Diabetes Complications; Diabetes Mellitus; Female; Hospital Mortality; Humans; Hypoxia; Male; Middle Aged; Organ Dysfunction Scores; Prospective Studies; Respiration Artificial; Respiratory Distress Syndrome Adult; Respiratory Insufficiency; Risk FactorsFemaleRespiratory Insufficiencymortalidad hospitalariacomplicaciones de la diabetesHuman
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Death in hospital following ICU discharge: insights from the LUNG SAFE study

2021

Abstract Background To determine the frequency of, and factors associated with, death in hospital following ICU discharge to the ward. Methods The Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE study was an international, multicenter, prospective cohort study of patients with severe respiratory failure, conducted across 459 ICUs from 50 countries globally. This study aimed to understand the frequency and factors associated with death in hospital in patients who survived their ICU stay. We examined outcomes in the subpopulation discharged with no limitations of life sustaining treatments (‘treatment limitations’), and the subpopulations with tre…

MaleARDSLUNG SAFEhealth care facilities manpower and servicesAcute hypoxemic respiratory failure; Acute respiratory distress syndrome; Hospital survival; ICU discharge; LUNG SAFEKaplan-Meier EstimateCritical Care and Intensive Care MedicineAcute hypoxemic respiratory failure; Acute respiratory distress syndrome; Hospital survival; ICU discharge; LUNG SAFE;0302 clinical medicineRisk Factors030212 general & internal medicineProspective StudiesProspective cohort studyAcute hypoxemic respiratory failureCOPDAcute respiratory distress syndromeICU dischargeMedical emergencies. Critical care. Intensive care. First aidMiddle AgedPatient DischargeLUNG SAFE.Intensive Care Unitsmedicine.anatomical_structureLung safeSOFA scoreFemaleRespiratory InsufficiencyAdultmedicine.medical_specialtyNOHospital survival03 medical and health sciencesSettore MED/41 - ANESTESIOLOGIAmedicineHumansddc:610Risk factorMortalityAgedLungRC86-88.9business.industryResearch030208 emergency & critical care medicinemedicine.diseaseLogistic Modelslnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4]Respiratory failureEmergency medicineObservational studybusiness
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Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective …

2022

Item does not contain fulltext BACKGROUND: Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS. METHODS: In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifie…

Pulmonary and Respiratory MedicineClinical SciencesAcute Lung InjuryArticleMachine LearningPositive-Pressure RespirationRare DiseasesClinical ResearchRetrospective StudieSettore MED/41 - ANESTESIOLOGIAHumansLungAcute Respiratory Distress SyndromeRetrospective StudiesRespiratory Distress SyndromeOther Medical and Health SciencesLUNG SAFE Investigators and the ESICM Trials Grouplnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4]PhenotypeGood Health and Well BeingArea Under CurveARDS: PhenotypeRespiratoryPublic Health and Health ServicesARDSHuman
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