Search results for "INTENSIVE-CARE"

showing 10 items of 11 documents

Prevalence and risk factors for delirium in critically ill patients with COVID-19 (COVID-D): a multicentre cohort study

2021

Background: To date, 750 000 patients with COVID-19 worldwide have required mechanical ventilation and thus are at high risk of acute brain dysfunction (coma and delirium). We aimed to investigate the prevalence of delirium and coma, and risk factors for delirium in critically ill patients with COVID-19, to aid the development of strategies to mitigate delirium and associated sequelae. Methods: This multicentre cohort study included 69 adult intensive care units (ICUs), across 14 countries. We included all patients (aged ≥18 years) admitted to participating ICUs with severe acute respiratory syndrome coronavirus 2 infection before April 28, 2020. Patients who were moribund or had life-suppo…

Pulmonary and Respiratory Medicinemedicine.medical_specialtymedicine.medical_treatmentcovid-19; deliriumOutcomesLower riskCritical IlnessTask-Force03 medical and health sciences0302 clinical medicinedeliriumSDG 3 - Good Health and Well-beingIntensive-Care-UnitIntensive careSettore MED/41 - ANESTESIOLOGIAmedicineSurvivors030212 general & internal medicineSimplified Acute Physiology ScoreMechaniically Ventilated PatientsEpitiomologyMechanical ventilationComaIntensive-Care-Unit Mechaniically Ventilated Patients Clinical practice Guidelines Critical Ilness Task-Force Sedation ICU Survivors Outcomes Epitiomologybusiness.industrycovidRetrospective cohort studyArticlesClinical practice Guidelinescovid delirium030228 respiratory systemcovid-19SedationICUEmergency medicineDeliriummedicine.symptombusinessCohort studyThe Lancet. Respiratory Medicine
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Pulse wave transit time measurements of cardiac output in septic shock patients: a comparison of the estimated continuous cardiac output system with …

2015

Pôle EAMERSCT3Hors Enjeu; Background We determined reliability of cardiac output (CO) measured by pulse wave transit time cardiac output system (esCCO system; COesCCO) vs transthoracic echocardiography (COTTE) in mechanically ventilated patients in the early phase of septic shock. A secondary objective was to assess ability of esCCO to detect change in CO after fluid infusion. Methods Mechanically ventilated patients admitted to the ICU, aged > 18 years, in sinus rhythm, in the early phase of septic shock were prospectively included. We performed fluid infusion of 500ml of crystalloid solution over 20 minutes and recorded CO by EsCCO and TTE immediately before (T0) and 5 minutes after (T1) …

Malecritically-ill patientCardiac output[SDV]Life Sciences [q-bio]lcsh:MedicineHemodynamicsmulticenter030204 cardiovascular system & hematologysepsispressure0302 clinical medicineintensive-careMedicineProspective StudiesCardiac Outputlcsh:ScienceAged 80 and overObserver VariationMultidisciplinaryMiddle Agedventilated patientShock Septic[SDV] Life Sciences [q-bio]Treatment OutcomeEchocardiographyShock (circulatory)CardiologyFemalemedicine.symptomcritically-ill patient;fluid responsiveness;ventilated patient;intensive-care;respiratory change;dynamic index;multicenter;sepsis;thermodilution;pressureResearch Articlemedicine.medical_specialtyPulse Wave AnalysisPulse Wave Analysis03 medical and health sciencesdynamic indexIntensive careInternal medicinerespiratory changePulse Wave Transit Timefluid responsivenessHumansAgedMonitoring Physiologic[ SDV ] Life Sciences [q-bio]business.industrySeptic shocklcsh:RReproducibility of Results030208 emergency & critical care medicinemedicine.diseaseRespiration ArtificialSurgerythermodilutionBlood pressureFluid Therapylcsh:Qbusiness
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Geo-economic variations in epidemiology, patterns of care, and outcomes in patients with acute respiratory distress syndrome: insights from the LUNG …

2017

Background Little information is available about the geo-economic variations in demographics, management, and outcomes of patients with acute respiratory distress syndrome (ARDS). We aimed to characterise the effect of these geo-economic variations in patients enrolled in the Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE). Methods LUNG SAFE was done during 4 consecutive weeks in winter, 2014, in a convenience sample of 459 intensive-care units in 50 countries across six continents. Inclusion criteria were admission to a participating intensive-care unit (including transfers) within the enrolment window and receipt of invasive or non…

MaleARDSdemographyeconomicmedicine.medical_treatmentTerapéuticaair conditioningComorbidityintensive care unitdeveloped country0302 clinical medicineneuromuscular blockingmiddle agedacute myocardial-infarctionmiddle income countryProspective StudiesGeography Medicalcritically-ill patientsadultagedpriority journalrisk factorIncomegeographic-variationDeveloped countryhospitalizationprospective studyHumanPulmonary and Respiratory MedicineDeveloped Countriemedicine.medical_specialtyDeveloping countryArticle/dk/atira/pure/subjectarea/asjc/2700/274003 medical and health sciencesSíndrome respiratorio agudo graveunitsMedicalHumansIntensive care medicineDeveloping CountriesAgedhigh income countryRespiratory Distress Syndrome Adultnoninvasive ventilationAparato respiratoriomedicine.diseasemortalitymajor clinical studyProspective Studiearterial oxygen tension030228 respiratory systemARDSObservational studySociologíahealth care deliverygeographyintensive-careRisk FactorsEpidemiologyProspective cohort studyRespiratory Distress Syndromepartial pressureartificial ventilationSociología médicaMiddle Agedadult respiratory distress syndromeAged; Comorbidity; Delivery of Health Care; Developed Countries; Developing Countries; Europe; Female; Geography Medical; Humans; Income; Intensive Care Units; Male; Middle Aged; Patient Outcome Assessment; Prospective Studies; Respiratory Distress Syndrome Adult; Risk Factors; Pulmonary and Respiratory MedicineEuropeIntensive Care UnitsfemaleincomeFemaleEnfermedadinjurycohort analysigross national incomesurvivalNOmedical geographyDeveloping Countrielength of staymedicinecontrolled studyoutcome assessmentbreast-cancerMechanical ventilationdiseasebusiness.industryDeveloped Countriespatient caredeveloping country030208 emergency & critical care medicinestatistics and numerical data AgedComorbiditywinterACUTE MYOCARDIAL-INFARCTION; CRITICALLY-ILL PATIENTS; GEOGRAPHIC-VARIATION; INTENSIVE-CARE; BREAST-CANCER; MORTALITY; DISEASE; INJURY; UNITS; HOSPITALIZATIONPatient Outcome AssessmentEmergency medicineprone positiontreatment outcomebusinessDelivery of Health Care
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The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years)

2017

Purpose: Very old critical ill patients are a rapid expanding group in the ICU. Indications for admission, triage criteria and level of care are frequently discussed for such patients. However, most relevant outcome studies in this group frequently find an increased mortality and a reduced quality of life in survivors. The main objective was to study the impact of frailty compared with other variables with regards to short-term outcome in the very old ICU population. Methods: A transnational prospective cohort study from October 2016 to May 2017 with 30 days follow-up was set up by the European Society of Intensive Care Medicine. In total 311 ICUs from 21 European countries participated. Th…

MaleTime FactorsOutcome AssessmentFrail Elderly/statistics & numerical data[SDV]Life Sciences [q-bio]HSJ UCIPassiveCritical Care and Intensive Care MedicineFrailty/classification/diagnosis/mortality/therapySeverity of Illness IndexSeverity of illneElderly0302 clinical medicineQuality of lifeElderly; Frailty; ICU; Mortality; Octogenarians; Severity of illness; Aged 80 and over; Critical Illness; Europe; Euthanasia Passive; Female; Frail Elderly; Frailty; Geriatric Assessment; Humans; Intensive Care Units; Length of Stay; Male; Outcome Assessment Health Care; Proportional Hazards Models; Prospective Studies; Quality of Life; Severity of Illness Index; Time Factors; Hospital MortalityOutcome Assessment Health Care80 and overProspective StudiesHospital Mortality030212 general & internal medicineProspective cohort studyAged 80 and overeducation.field_of_studyddc:617FrailtyMortality rate[SDV] Life Sciences [q-bio]EuropeIntensive Care UnitsLength of Stay/statistics & numerical dataCohortIntensive Care Units/statistics & numerical dataCritical IllneFemaleSOFA scoreHumanmedicine.medical_specialtyOctogenariansTime FactorCritical IllnessFrail ElderlyIntensive Care UnitPopulationINTENSIVE-CARESeverity of illnessEurope/epidemiologyOutcome Assessment (Health Care)03 medical and health sciencesOctogenarianIntensive careSeverity of illnessJournal ArticlemedicineHumansCOHORTMortalityOctogenarinansIntensive care medicineeducationGeriatric AssessmentAgedProportional Hazards ModelsOLDEREuthanasiabusiness.industry030208 emergency & critical care medicineLength of StayEuthanasia PassiveHealth CareProspective StudieCritical Illness/mortalityUNITICUEmergency medicineProportional Hazards ModelQuality of LifebusinessIntensive Care Medicine
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Sepsis at ICU admission does not decrease 30-day survival in very old patients : a post-hoc analysis of the VIP1 multinational cohort study

2020

AbstractBackgroundThe number of intensive care patients aged ≥ 80 years (Very old Intensive Care Patients; VIPs) is growing. VIPs have high mortality and morbidity and the benefits of ICU admission are frequently questioned. Sepsis incidence has risen in recent years and identification of outcomes is of considerable public importance. We aimed to determine whether VIPs admitted for sepsis had different outcomes than those admitted for other acute reasons and identify potential prognostic factors for 30-day survival.ResultsThis prospective study included VIPs with Sequential Organ Failure Assessment (SOFA) scores ≥ 2 acutely admitted to 307 ICUs in 21 European countries. Of 3869 acutely admi…

INTENSIVE-CARE-UNITSurvivalHSJ UCICritical Care and Intensive Care Medicinesurvival analysislaw.inventionsepsisSeverity of illne0302 clinical medicineLONG-TERM OUTCOMESoverlevingsanalyselawMedicine and Health SciencesEPIDEMIOLOGYIntensive care; Mortality; Outcome; Sepsis; Severity of illness; Survival; Very old030212 general & internal medicineProspective cohort studyELDERLY-PATIENTSOutcomeddc:617PATIENTS AGED 80lcsh:Medical emergencies. Critical care. Intensive care. First aidVery OldIntensive care unitSOFA scoremedicine.symptomCRITICALLY-ILL PATIENTSWITHDRAWALhormones hormone substitutes and hormone antagonistsmedicine.medical_specialtySepsiVery oldelderly patientsSeverity of illnessNOSepsis03 medical and health sciencessterfteSepsisInternal medicineIntensive careSeverity of illnessmedicineMortalityFRAILTYbusiness.industrySeptic shockResearchSEPTIC SHOCKOrgan dysfunctionIntensive Care030208 emergency & critical care medicinelcsh:RC86-88.9oudere patiëntenmedicine.diseaseIntensive carebusiness
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Cumulative Prognostic Score Predicting Mortality in Patients Older Than 80 Years Admitted to the ICU

2019

OBJECTIVES To develop a scoring system model that predicts mortality within 30 days of admission of patients older than 80 years admitted to intensive care units (ICUs). DESIGN Prospective cohort study. SETTING A total of 306 ICUs from 24 European countries. PARTICIPANTS Older adults admitted to European ICUs (N = 3730; median age = 84 years [interquartile range = 81‐87 y]; 51.8% male). MEASUREMENTS Overall, 24 variables available during ICU admission were included as potential predictive variables. Multivariable logistic regression was used to identify independent predictors of 30‐day mortality. Model sensitivity, specificity, and accuracy were evaluated with receiver operating characteris…

MaleINTENSIVE-CARE-UNITOrgan Dysfunction Scoresmedicine.medical_treatmentPrognosis.MedizinDECISION-MAKINGLogistic regressionlaw.inventionolder adult0302 clinical medicinePHYSICIANSInterquartile rangelaw80 and overMedicine and Health Sciences030212 general & internal medicineHospital MortalityProspective StudiesProspective cohort studyolder adultsAged 80 and overpredictddc:617Respiration[SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontologyBrief ReportPrognosisIntensive care unitADMISSION3. Good healthEuropeHospitalizationIntensive Care UnitsBrier scoreOlder adultsArtificialFemaleprognosimedicine.medical_specialtycritical care; model; older adults; predict; prognosis; Aged 80 and over; Europe; Female; Hospital Mortality; Hospitalization; Humans; Intensive Care Units; Male; Prospective Studies; Respiration Artificial; Organ Dysfunction Scores; Prognosis03 medical and health sciencesIntensive caremedicineJournal ArticleHumansILL ELDERLY-PATIENTSRenal replacement therapyAgedmodelReceiver operating characteristicbusiness.industry030208 emergency & critical care medicineRespiration Artificialcritical careEmergency medicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieBrief ReportsprognosisGeriatrics and Gerontologybusiness
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Nephrotoxic drug burden among 1001 critically ill patients: impact on acute kidney injury.

2019

Abstract Background Nephrotoxic drug prescription may contribute to acute kidney injury (AKI) occurrence and worsening among critically ill patients and thus to associated morbidity and mortality. The objectives of this study were to describe nephrotoxic drug prescription in a large intensive-care unit cohort and, through a case–control study nested in the prospective cohort, to evaluate the link of nephrotoxic prescription burden with AKI. Results Six hundred and seventeen patients (62%) received at least one nephrotoxic drug, among which 303 (30%) received two or more. AKI was observed in 609 patients (61%). A total of 351 patients were considered as cases developing or worsening AKI a gi…

medicine.medical_specialtyIntensive-care units [MeSH]Critical Care and Intensive Care Medicine[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and NephrologyMESH: Vancomycin03 medical and health sciences0302 clinical medicineMESH: Kidney tubular necrosisRenal insufficiency [MeSH]Internal medicineAnesthesiologyMESH: Renal insufficiencymedicineMESH: Intensive-care unitsKidney tubular necrosisMESH: Diuretics030212 general & internal medicineMedical prescriptionSimplified Acute Physiology ScoreProspective cohort studyMESH: Acutebusiness.industryResearchAcute kidney injurylcsh:Medical emergencies. Critical care. Intensive care. First aidMESH: Aminoglycosides030208 emergency & critical care medicineOdds ratiolcsh:RC86-88.9[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciencesmedicine.diseaseVancomycin [MeSH][SDV.MHEP.UN] Life Sciences [q-bio]/Human health and pathology/Urology and NephrologyDiuretics [MeSH]3. Good health[SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciencesContrast media [MeSH]CohortMESH: Contrast mediaAminoglycosides [MeSH]businessAcute [MeSH]Kidney diseaseAnnals of intensive care
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Immunocompromised patients with acute respiratory distress syndrome: Secondary analysis of the LUNG SAFE database

2018

Background: The aim of this study was to describe data on epidemiology, ventilatory management, and outcome of acute respiratory distress syndrome (ARDS) in immunocompromised patients. Methods: We performed a post hoc analysis on the cohort of immunocompromised patients enrolled in the Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE) study. The LUNG SAFE study was an international, prospective study including hypoxemic patients in 459 ICUs from 50 countries across 5 continents. Results: Of 2813 patients with ARDS, 584 (20.8%) were immunocompromised, 38.9% of whom had an unspecified cause. Pneumonia, nonpulmonary sepsis, and noncardiog…

MaleARDSmodelos logísticosDatabases Factualmedicine.medical_treatment[SDV]Life Sciences [q-bio]humanoslnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Kaplan-Meier EstimateCritical Care and Intensive Care MedicineAcute respiratory failureSeverity of Illness IndexCohort Studiesrandomized-trial0302 clinical medicineMechanical ventilationRisk Factorsestudios prospectivosEpidemiology80 and overicuMedicineProspective StudiesProspective cohort studyestudios de cohortesImmunodeficiencymediana edadestadísticasAged 80 and overRespiratory Distress Syndromeancianocritically-ill patientsRespirationresultado del tratamientorespiraciónStatisticslcsh:Medical emergencies. Critical care. Intensive care. First aidadultoMiddle Aged3. Good healthfailureIntensive Care UnitsTreatment OutcomeArtificialCohortprospective multicenterImmunocompromised patientsAcute respiratory failure; ARDS; Immunocompromised patients; Mechanical ventilation; Noninvasive ventilation; Critical Care and Intensive Care MedicineFemaleNoninvasive ventilationHumanestimación de Kaplan-MeierAdultmedicine.medical_specialtyLogistic ModelIntensive Care UnitSocio-culturaleunidades de cuidados intensivossurvivalStatistics NonparametricSepsisDatabases03 medical and health sciencesImmunocompromised HostInternal medicineImmunocompromised patientcancerfactores de riesgoHumansNonparametricíndice de gravedad de la enfermedadintensive-care-unitFactualAgedMechanical ventilationbusiness.industryResearchRisk FactorRespiratory Distress Syndrome Adult030208 emergency & critical care medicinelcsh:RC86-88.9medicine.diseaseRespiration ArtificialPneumoniaProspective StudieLogistic Models030228 respiratory systemmalignanciesARDShuésped inmunodeprimidoCohort StudiebusinessAcute respiratory failure; ARDS; Immunocompromised patients; Mechanical ventilation; Noninvasive ventilation; Adult; Aged; Aged 80 and over; Cohort Studies; Databases Factual; Female; Humans; Intensive Care Units; Kaplan-Meier Estimate; Logistic Models; Male; Middle Aged; Prospective Studies; Respiration Artificial; Respiratory Distress Syndrome Adult; Risk Factors; Severity of Illness Index; Statistics Nonparametric; Treatment Outcome; Immunocompromised Host
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Comparison of European ICU patients in 2012 (ICON) versus 2002 (SOAP)

2018

Purpose: To evaluate differences in the characteristics and outcomes of intensive care unit (ICU) patients over time. Methods: We reviewed all epidemiological data, including comorbidities, types and severity of organ failure, interventions, lengths of stay and outcome, for patients from the Sepsis Occurrence in Acutely ill Patients (SOAP) study, an observational study conducted in European intensive care units in 2002, and the Intensive Care Over Nations (ICON) audit, a survey of intensive care unit patients conducted in 2012. Results: We compared the 3147 patients from the SOAP study with the 4852 patients from the ICON audit admitted to intensive care units in the same countries as those…

MaleOriginalEpidemiology[SDV]Life Sciences [q-bio]HSJ UCIlnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]MULTICENTERclinical outcomemortality rateCritical Care and Intensive Care Medicineintensive care unitlaw.invention0302 clinical medicineSeverity of diseaselawEpidemiologymiddle agedMedicine and Health SciencesFAILURE030212 general & internal medicineHospital Mortalityintensive care units -- analysis -- epidemiology -- mortalityGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)CODEScomparative studyintensive careMedicine(all)multilevel analysiIncidenceadultSciences bio-médicales et agricolesIntensive care unit3. Good healthEuropesepsaIntensive Care UnitsfemaleCohortenote intenzivne terapije -- analiza -- epidemiologija -- umrljivostHumanAdultmedicine.medical_specialtyseverity of diseaseCritical CareSepsiIntensive Care UnitUNITED-STATES610 Medicine & healthINTENSIVE-CAREEuropeanArticleSepsisEpidemiology; Sepsis; Severity of disease03 medical and health sciencesAll institutes and research themes of the Radboud University Medical Centerlength of staymaleEpidemiology; Sepsis; Severity of disease; Adult; Europe; Hospital Mortality; Humans; Length of Stay; Male; Critical Care; Intensive Care Units; SepsisAnesthesiologyIntensive careSepsisSCOREmedicineudc:614.2Humanshumanoutcome assessmentSeptic shockbusiness.industrySEPTIC SHOCK030208 emergency & critical care medicineLength of Staymedicine.diseaseTRENDSmajor clinical studySEVERE SEPSIScomorbidity assessmentEmergency medicineEpidemiology; Sepsis; Severity of disease; Critical Care and Intensive Care MedicineObservational studyCLAIMSbusinessSepsis;Severity of disease;Epidemiologyresnost bolezni
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Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort…

2021

Abstract Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for…

MaleShort term mortalityCritical Care and Intensive Care MedicineCohort Studies0302 clinical medicinekwetsbaarheidMedicine and Health Sciences80 and overMedicine610 Medicine & healthProspective cohort studyCorrelation of Data11 Medical and Health SciencesAged 80 and overOUTCOMESIntensive care unitsFrailtyVIP1Aged&nbspMedical emergencies. Critical care. Intensive care. First aidScale (social sciences)Femaleprospectief onderzoekLife Sciences & BiomedicineCRITICALLY-ILL PATIENTS 80 and overStudy groupsmedicine.medical_specialtyAnestesi och intensivvård80 jaar en ouder610 Medicine & healthINTENSIVE-CAREBED AVAILABILITYNO03 medical and health sciencesCritical Care MedicineIntensive caresterfteGeneral & Internal MedicineHumansIntensive care units; Aged; 80 and over; Frailty; Prospective studies; MortalityIn patientddc:610Aged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies; Aged 80 and over; Cohort Studies; Correlation of Data; Female; Frailty; Humans; Intensive Care Units; Logistic Models; Male; Mortality; Prospective StudiesMortalityAgedScience & TechnologyAnesthesiology and Intensive Carebusiness.industryRC86-88.9Research030208 emergency & critical care medicineADULTSAged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies;Emergency & Critical Care MedicineLogistic Models030228 respiratory systemintensivecareafdelingenAged 80 and overCritical illnessEmergency medicineVIP2 study group&nbspCRITICAL ILLNESSbusinessProspective studies
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