0000000000528588

AUTHOR

Rui Gomes

showing 7 related works from this author

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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ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

EğitimSocial Sciences and HumanitiesInformation Security and ReliabilitySocial Sciences (SOC)Sosyal Bilimler ve Beşeri BilimlerEpidemiologyEDUCATION & EDUCATIONAL RESEARCHTemel Bilimler (SCI)BİLGİSAYAR BİLİMİ BİLGİ SİSTEMLERİMATHEMATICSSociology[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesProspective StudiesCOMPUTER SCIENCE INFORMATION SYSTEMSSTATISTICS & PROBABILITYMatematikBilgisayar Bilimi UygulamalarıComputer SciencesBilgi Güvenliği ve GüvenilirliğiEĞİTİM VE EĞİTİM ARAŞTIRMASIBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİBilgi sistemiComputer Science ApplicationsKütüphane ve Bilgi BilimleriHospitalizationNatural Sciences (SCI)Physical SciencesEngineering and TechnologySosyal Bilimler (SOC)Bilgisayar BilimiStatistics Probability and UncertaintyInformation SystemsHumanStatistics and ProbabilityHumans; Pandemics; Prospective Studies; SARS-CoV-2; COVID-19; HospitalizationSOCIAL SCIENCES GENERALLibrary and Information SciencesEducationSDG 3 - Good Health and Well-beingLibrary SciencesINFORMATION SCIENCE & LIBRARY SCIENCEİstatistik ve OlasılıkHumansSosyal ve Beşeri BilimlerBilgisayar BilimleriSocial Sciences & HumanitiesEngineering Computing & Technology (ENG)SosyolojiPandemicsPandemicSARS-CoV-2İSTATİSTİK & OLASILIKCOVID-19Mühendislik Bilişim ve Teknoloji (ENG)İstatistik Olasılık ve BelirsizlikSosyal Bilimler GenelCOMPUTER SCIENCEProspective StudieFizik BilimleriViral infectionMühendislik ve TeknolojiKütüphanecilik
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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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Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE)

2023

Background: Current management practices and outcomes in weaning from invasive mechanical ventilation are poorly understood. We aimed to describe the epidemiology, management, timings, risk for failure, and outcomes of weaning in patients requiring at least 2 days of invasive mechanical ventilation. Methods: WEAN SAFE was an international, multicentre, prospective, observational cohort study done in 481 intensive care units in 50 countries. Eligible participants were older than 16 years, admitted to a participating intensive care unit, and receiving mechanical ventilation for 2 calendar days or longer. We defined weaning initiation as the first attempt to separate a patient from the ventila…

Pulmonary and Respiratory MedicineInternal Medicine SciencesKlinik TıpRESPIRATORY SYSTEMDahili Tıp BilimleriGöğüs Hastalıkları ve AllerjiCLINICAL MEDICINESağlık BilimleriClinical Medicine (MED)TıpSOLUNUM SİSTEMİMechanical ventilationN/AHealth SciencesSettore MED/41 - ANESTESIOLOGIAAkciğer ve Solunum TıbbıMedicineKlinik Tıp (MED)Chest Diseases and AllergyThe Lancet Respiratory Medicine
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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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Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

2023

Abstract Background We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admiss…

MaleEpidemiologyMESH: HospitalizationMESH: Proportional Hazards ModelsMESH: Risk FactorsRisk FactorsMESH: Childcohort studyMESH: COVID-19HumansMESH: SARS-CoV-2ChildProportional Hazards ModelsMESH: HumansMESH: Middle AgedSARS-CoV-2COVID-19risk of deathGeneral MedicineMiddle AgedCOVID-19; SARS-CoV-2; co-morbidities; cohort study; risk of death; symptoms; treatmentsMESH: MaleHospitalizationIntensive Care Unitsco-morbiditiestreatmentssymptomsMESH: Intensive Care Units[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieCOVID-19/therapy
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The value of open-source clinical science in pandemic response

2021

International audience

Biomedical Research[SDV]Life Sciences [q-bio]Clinical scienceGlobal HealthCorrectionsMicrobiology1117 Public Health and Health Services1108 Medical MicrobiologyPandemicEconomicsHumansISARIC Clinical Characterisation GroupPandemicsCOVID-19/epidemiologyActuarial scienceInformation DisseminationSARS-CoV-2CommentISARICCOVID-191103 Clinical SciencesCommunicable Disease Control/methodsInfectious DiseasesOpen sourceCommunicable Disease ControlCOVID-19; Communicable Disease Control; Global Health; Humans; SARS-CoV-2; Biomedical Research; Information Dissemination; PandemicsValue (mathematics)HumanThe Lancet Infectious Diseases
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