0000000000404592

AUTHOR

Lu Weihua

showing 4 related works from this author

Poor timing and failure of source control are risk factors for mortality in critically ill patients with secondary peritonitis

2022

PURPOSE: To describe data on epidemiology, microbiology, clinical characteristics and outcome of adult patients admitted in the intensive care unit (ICU) with secondary peritonitis, with special emphasis on antimicrobial therapy and source control. METHODS: Post hoc analysis of a multicenter observational study (Abdominal Sepsis Study, AbSeS) including 2621 adult ICU patients with intra-abdominal infection in 306 ICUs from 42 countries. Time-till-source control intervention was calculated as from time of diagnosis and classified into 'emergency' ( 6 h). Relationships were assessed by logistic regression analysis and reported as odds ratios (OR) and 95% confidence interval (CI). RESULTS: The…

AdultSecondary peritonitiCritical IllnessPeritonitisCritical Care and Intensive Care MedicineAnti-Bacterial AgentsAntimicrobial therapyIntensive Care UnitsSecondary peritonitisIntra-abdominal infectionAnti-Infective AgentsRisk FactorsSource controlSepsisMedicine and Health SciencesHumansIntraabdominal InfectionsMortalityRetrospective StudiesAntimicrobial therapy; Intra-abdominal infection; Mortality; Secondary peritonitis; Source controlIntensive Care 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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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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Antimicrobial Lessons From a Large Observational Cohort on Intra-abdominal Infections in Intensive Care Units

2021

Severe intra-abdominal infection commonly requires intensive care. Mortality is high and is mainly determined by disease-specific characteristics, i.e. setting of infection onset, anatomical barrier disruption, and severity of disease expression. Recent observations revealed that antimicrobial resistance appears equally common in community-acquired and late-onset hospital-acquired infection. This challenges basic principles in anti-infective therapy guidelines, including the paradigm that pathogens involved in community-acquired infection are covered by standard empiric antimicrobial regimens, and second, the concept of nosocomial acquisition as the main driver for resistance involvement. I…

Drug Resistancemedicine.disease_causeSeverity of Illness Indexlaw.invention0302 clinical medicineENTEROBACTERIACEAElawDrug Resistance Multiple BacterialMedicine and Health SciencesPharmacology (medical)Cross InfectionbiologyBacterialAntimicrobialIntensive care unitAnti-Bacterial AgentsCommunity-Acquired InfectionsEuropeIntensive Care UnitsAnti-Bacterial Agents; Community-Acquired Infections; Critical Illness; Cross Infection; Europe; Humans; Intensive Care Units; Intraabdominal Infections; Microbial Sensitivity Tests; Peritonitis; Sepsis; Severity of Illness Index; Drug Resistance Multiple BacterialESCHERICHIA-COLI030220 oncology & carcinogenesisKLEBSIELLA-PNEUMONIAEBLOOD-STREAM INFECTIONSPYELONEPHRITISMultiplemedicine.medical_specialtyCritical IllnessMicrobial Sensitivity TestsPeritonitisEnterococcus faecalisNO03 medical and health sciencesIntra‑abdominal InfectionsAntibiotic resistanceFOODSepsisIntensive careInternal medicinemedicineHumansFLUOROQUINOLONE RESISTANCEPseudomonas aeruginosabusiness.industrySeptic shockMORTALITYbiology.organism_classificationmedicine.diseaseRISK-FACTORSIntraabdominal Infectionsbusiness030217 neurology & neurosurgeryEnterococcus faecium
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