2025
Definitions of Cardiogenic Shock and Indications for Temporary Mechanical Circulatory Support: Joint Consensus Report of the PeriOperative Quality Initiative and the Enhanced Recovery After Surgery Cardiac Society
Grant M, Brudney C, Hernandez-Montfort J, Ibekwe S, Rea A, Stoppe C, Zarbock A, Shaw A, Engelman D, Kanwar M, Chatterjee S, Spelde A, Barron L, Cangut B, Hickey G, Lorusso R, Silvestry S, Tong M, Arora R, Bailey D, Barnett C, Clarizia N, Deschamps J, Lobdell K, Obanor O, Singh G. Definitions of Cardiogenic Shock and Indications for Temporary Mechanical Circulatory Support: Joint Consensus Report of the PeriOperative Quality Initiative and the Enhanced Recovery After Surgery Cardiac Society. The Annals Of Thoracic Surgery 2025 PMID: 40187589, DOI: 10.1016/j.athoracsur.2025.01.040.Peer-Reviewed Original ResearchTemporary mechanical circulatory supportCardiogenic shockMechanical circulatory supportAssessment of CSOrgan injuryRefractory to medical therapyDevelopment of organ injuryCirculatory supportManagement of patientsIn-Hospital MortalityPerioperative Quality InitiativeInternational panel of expertsInitial therapyEscalation of careTargeted therapyMedical therapyEarly triageModified Delphi MethodPanel of expertsCardiac SocietyTherapeutic goalsShock severityTherapyShock stateEnhanced recovery
2024
Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
Cogill S, Nallamshetty S, Fullenkamp N, Heberer K, Lynch J, Lee K, Aslan M, Shih M, Lee J. Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning. PLOS ONE 2024, 19: e0290221. PMID: 38662748, PMCID: PMC11045098, DOI: 10.1371/journal.pone.0290221.Peer-Reviewed Original ResearchConceptsHigh-risk groupSARS-CoV-2 infectionAnticoagulant useAdverse outcomesPredictor of adverse outcomesHigher risk of adverse outcomesLower body mass indexRisk of adverse outcomesVaccination of high-risk groupsOral anticoagulant useOutcome of SARS-CoV-2 infectionRetrospective longitudinal observational studySARS-CoV-2U.S. Veterans Health AdministrationClinical outcomes of SARS-CoV-2 infectionIdentification of patientsBody mass indexVeterans Health AdministrationPredictors of hospitalizationEscalation of careLongitudinal observational studyClinical outcomesOmicron SARS-CoV-2 variantSARS-CoV-2 variantsUnvaccinated patients
2023
Inequities among patient placement in emergency department hallway treatment spaces
Tuffuor K, Su H, Meng L, Pinker E, Tarabar A, Van Tonder R, Chmura C, Parwani V, Venkatesh A, Sangal R. Inequities among patient placement in emergency department hallway treatment spaces. The American Journal Of Emergency Medicine 2023, 76: 70-74. PMID: 38006634, DOI: 10.1016/j.ajem.2023.11.013.Peer-Reviewed Original ResearchEscalation of careAdjusted odds ratioED revisitsHallway bedsEmergency departmentHigher oddsPatient placementPatient insurance coverageSocial risk factorsPatient social factorsDischarge AMAED visitsSecondary outcomesPatient agePatient demographicsPrimary outcomeMale sexPatient sexTreatment spaceED censusFemale sexRisk factorsOdds ratioED staffingObservational study
2021
Creating and Validating a Predictive Model for Suitability of Hospital at Home for Patients With Solid-Tumor Malignancies.
Chen K, Desai K, Sureshanand S, Adelson K, Schwartz JI, Gross CP, Chaudhry SI. Creating and Validating a Predictive Model for Suitability of Hospital at Home for Patients With Solid-Tumor Malignancies. JCO Oncology Practice 2021, 17: e556-e563. PMID: 33417488, PMCID: PMC8257922, DOI: 10.1200/op.20.00663.Peer-Reviewed Original ResearchConceptsSolid tumor malignanciesAdmission of patientsAdmission sourceMultivariable logistic regression modelActive cancer diagnosisEscalation of careEmergency department visitsModel c-statisticNasogastric tube placementLogistic regression modelsHospital deathUnplanned admissionsIntestinal obstructionNeurologic symptomsPatient demographicsDepartment visitsDerivation cohortHospital admissionPrimary outcomeSecondary malignanciesCancer HospitalTube placementValidation cohortC-statisticGI cancers
2020
Outcomes of Patients With Hospital-Acquired Influenza
Campbell M, James A, Fairweather I, Rivera-Vinas J, Kaslow R, Landry M, Peaper D, Martinello R. Outcomes of Patients With Hospital-Acquired Influenza. Infection Control And Hospital Epidemiology 2020, 41: s340-s340. DOI: 10.1017/ice.2020.951.Peer-Reviewed Original ResearchEscalation of careIntensive care unitCare unitLaboratory-proven influenzaOutcomes of patientsRetrospective cohort studyCommunity-based populationPediatric teaching hospitalLength of stayOnset of signsDiagnosis of pneumoniaMedical record informationDirect fluorescent antibodyNoninvasive ventilationChart reviewCohort studyInpatient morbidityMedian durationPatient demographicsAntiviral treatmentClinical courseRadiographic evidenceAntiviral administrationInfluenza infectionSupplemental oxygenEducation needed to improve antimicrobial use during end-of-life care of older adults with advanced cancer: A cross-sectional survey
Datta R, Topal J, McManus D, Sanft T, Dembry LM, Morrison LJ, Quagliarello V, Juthani-Mehta M. Education needed to improve antimicrobial use during end-of-life care of older adults with advanced cancer: A cross-sectional survey. Palliative Medicine 2020, 35: 236-241. PMID: 32928066, DOI: 10.1177/0269216320956811.Peer-Reviewed Original ResearchConceptsEscalation of careAdvance care planningLife careAdvanced cancerCross-sectional surveyIntravenous antimicrobialsOlder adultsAntimicrobial useCare planningSingle-center cross-sectional surveyEducational interventionAdvance care plansRole of antimicrobialsClinical deteriorationPercent of respondentsAdverse eventsOral antimicrobialsMedicine subspecialistsCare plansInpatient medicineCareCancerPatientsAdultsSubspecialistsModels for acute on chronic liver failure development and mortality in a veterans affairs cohort
Xiao KY, Hubbard RA, Kaplan DE, Taddei TH, Goldberg DS, Mahmud N. Models for acute on chronic liver failure development and mortality in a veterans affairs cohort. Hepatology International 2020, 14: 587-596. PMID: 32519219, PMCID: PMC7656856, DOI: 10.1007/s12072-020-10060-y.Peer-Reviewed Original ResearchConceptsACLF mortalityCompensated cirrhosisChronic liver failure developmentEnd-stage liver diseaseHigh short-term mortalityLarge North American cohortDevelopment of ACLFVeterans Affairs cohortAsian Pacific AssociationChronic liver failureEscalation of careNovel risk prediction modelShort-term mortalityMultivariable logistic regressionNorth American cohortRisk prediction modelGood discriminationACLF developmentACLF patientsACLF scoreLiver (APASL) definitionsMELD-sodiumTransplant evaluationRisk patientsCirrhosis patients
2019
Risk prediction scores for acute on chronic liver failure development and mortality
Mahmud N, Hubbard RA, Kaplan DE, Taddei TH, Goldberg DS. Risk prediction scores for acute on chronic liver failure development and mortality. Liver International 2019, 40: 1159-1167. PMID: 31840390, PMCID: PMC7371261, DOI: 10.1111/liv.14328.Peer-Reviewed Original ResearchConceptsShort-term mortalityRisk prediction scoreACLF mortalityACLF scoreLiver diseaseChronic Liver Failure Consortium ACLF scoreChronic liver failure developmentCLIF-C ACLF scoreStable chronic liver diseaseVeterans Health Administration databaseEnd-stage liver diseaseHigh short-term mortalityEarly transplant referralChronic liver failureRetrospective cohort studyEscalation of careChronic liver diseaseUnited States cohortMultivariable logistic regressionNovel risk prediction scorePrediction scoreHealth Administration databaseGood discriminationACLF criteriaIncident cirrhosis
2016
“Deterioration to Door Time”: An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients
Sankey CB, McAvay G, Siner JM, Barsky CL, Chaudhry SI. “Deterioration to Door Time”: An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients. Journal Of General Internal Medicine 2016, 31: 895-900. PMID: 26969311, PMCID: PMC4945556, DOI: 10.1007/s11606-016-3654-x.Peer-Reviewed Original ResearchConceptsMedical intensive care unitEscalation of careIntensive care unitClinical deteriorationCare escalationHospitalized patientsCare unitDoor timeInpatient medicineRetrospective cohort studySeverity of illnessRisk of deathAcademic medical centerHospital mortalityICU transferCohort studyInpatient floorInpatient settingMedical CenterGeneral floorPatientsCareMortalityCurrent eraPrevious studies
2014
The Shock Index as a Predictor of Vasopressor Use in Emergency Department Patients with Severe Sepsis
Wira CR, Francis MW, Bhat S, Ehrman R, Conner D, Siegel M. The Shock Index as a Predictor of Vasopressor Use in Emergency Department Patients with Severe Sepsis. Western Journal Of Emergency Medicine 2014, 15: 60-66. PMID: 24696751, PMCID: PMC3952891, DOI: 10.5811/westjem.2013.7.18472.Peer-Reviewed Original ResearchConceptsSevere sepsisEmergency departmentVasopressor useCardiovascular collapseOrgan failureElevation groupEscalation of careEmergency department patientsCross-sectional studySepsis registryVasopressor dependenceED admissionDepartment patientsInitial presentationShock indexED patientsRisk stratificationLeading causeUseful modalityPatientsSepsisDisease escalationEarly identificationMean numberHigh rate
2012
Integrated, home-based treatment for MDR-TB and HIV in rural South Africa: an alternate model of care [Perspectives]
Brust J, Shah N, Scott M, Chaiyachati K, Lygizos M, van der Merwe T, Bamber S, Radebe Z, Loveday M, Moll A, Margot B, Lalloo U, Friedland G, Gandhi N. Integrated, home-based treatment for MDR-TB and HIV in rural South Africa: an alternate model of care [Perspectives]. The International Journal Of Tuberculosis And Lung Disease 2012, 16: 998-1004. PMID: 22668560, PMCID: PMC3390442, DOI: 10.5588/ijtld.11.0713.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareAnti-HIV AgentsAntitubercular AgentsAttitude of Health PersonnelCaregiversCD4 Lymphocyte CountCoinfectionDelivery of Health Care, IntegratedFeasibility StudiesFemaleHealth Knowledge, Attitudes, PracticeHIV InfectionsHome Care ServicesHumansMaleMedication AdherenceOrganizational ObjectivesPatient Care TeamProgram DevelopmentProgram EvaluationRural Health ServicesSocial SupportSouth AfricaTime FactorsTreatment OutcomeTuberculosis, Multidrug-ResistantViral LoadConceptsMultidrug-resistant tuberculosisHome-based treatmentHIV treatmentAdverse reactionsTreatment outcomesTreatment programHigh HIV prevalent settingsMDR-TB treatmentEscalation of careSevere adverse eventsHIV treatment programsHIV-prevalent settingsCommunity health workersCo-infection ratePatient treatment programTreatment modelPromising treatment modelNew treatment modelRural KwaZulu-NatalHIV-coMonthly culturesAdherence supportAdverse eventsClinical responseHIV outcomes
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