2023
Palliative Care in a Pandemic: A Multicenter Cohort of Critically Ill Patients with Coronavirus Disease 2019
Kodadek L, Moore M, Miller S, Schneider E, Ahuja V, Maerz L, Davis K. Palliative Care in a Pandemic: A Multicenter Cohort of Critically Ill Patients with Coronavirus Disease 2019. Surgical Infections 2023, 24: 190-198. PMID: 36757283, PMCID: PMC10081705, DOI: 10.1089/sur.2022.377.Peer-Reviewed Original ResearchConceptsIntensive care unitPalliative careIll patientsCoronavirus disease 2019Life careClinical characteristicsMechanical ventilationDisease 2019Acute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSyndrome coronavirus 2 infectionCoronavirus 2 infectionPalliative care consultationPalliative care servicesCOVID-19Outcomes of interestHospital lengthAdult patientsComorbid diseasesDisease courseMulticenter cohortCare unitCare consultationsVaccination dataPatients
2018
Management outcomes of diverticulitis and colitis in patients with active cancer
Horwood C, Wisler J, Byrd S, Woodling K, Schneider E, Rushing A. Management outcomes of diverticulitis and colitis in patients with active cancer. Surgery 2018, 164: 350-353. PMID: 29801733, DOI: 10.1016/j.surg.2018.03.010.Peer-Reviewed Original ResearchConceptsActive cancer diagnosisColonic emergenciesActive cancerNonoperative managementIntensive care unit admissionEmergent general surgeryCare unit admissionPreoperative risk factorsCancer diagnosisNon-operative managementCancer patient populationIntensive care unitNonoperative groupNonoperative patientsUnit admissionPostoperative complicationsCare unitColonic pathologyOperative groupSurgery consultOperative managementPatient populationCancer DatabaseRisk factorsGeneral surgery
2015
A pilot study of eye-tracking devices in intensive care
Garry J, Casey K, Cole T, Regensburg A, McElroy C, Schneider E, Efron D, Chi A. A pilot study of eye-tracking devices in intensive care. Surgery 2015, 159: 938-944. PMID: 26361099, DOI: 10.1016/j.surg.2015.08.012.Peer-Reviewed Original ResearchConceptsIntensive care unitCare unitPsychosocial impactPsychosocial statusMedical intensive care unitNeurosciences critical care unitSurgical intensive care unitConfusion Assessment MethodICU patient outcomesPopulation of patientsCritical care unitsIntensive carePatient outcomesAbsence of interventionPatient's perspectiveNursing staffPatientsEye-tracking devicePilot studyConvenience sampleDeliriumMean scoreOutcomesScoresImpact scoresOutcome of delirium in critically ill patients: systematic review and meta-analysis
Salluh J, Wang H, Schneider E, Nagaraja N, Yenokyan G, Damluji A, Serafim R, Stevens R. Outcome of delirium in critically ill patients: systematic review and meta-analysis. The BMJ 2015, 350: h2538. PMID: 26041151, PMCID: PMC4454920, DOI: 10.1136/bmj.h2538.Peer-Reviewed Original ResearchConceptsIntensive care unitIll patientsCare unitCognitive impairmentSystematic reviewOutcome of deliriumProspective observational cohortThird of patientsLength of stayIdentification of deliriumRandom-effects modelMeta-regression analysisSedation managementDelirium screeningControl patientsObservational cohortCardiac surgeryMechanical ventilationIntensive careCochrane LibraryLanguage restrictionsClinical endpointsSubstance withdrawalClinical trialsOrgan/tissue transplantation
2014
Hospital Bed Type, the Electronic Medical Record, and Safe Bed Elevation in the Intensive Care Setting
Fitch Z, Duquaine D, Ohkuma R, Schneider E, Whitman G. Hospital Bed Type, the Electronic Medical Record, and Safe Bed Elevation in the Intensive Care Setting. American Journal Of Medical Quality 2014, 31: 69-72. PMID: 25366326, DOI: 10.1177/1062860614556743.Peer-Reviewed Original ResearchConceptsElectronic medical recordsHOB angleMedical recordsCardiac surgical intensive care unitSurgical intensive care unitVentilator-associated pneumoniaIntensive care settingIntensive care unitPercent of nursesCare unitHOB elevationBedside indicatorsCare settingsNursesElevationCompliancePneumoniaPatients
2013
Predictors of outcome in acute encephalitis
Thakur K, Motta M, Asemota A, Kirsch H, Benavides D, Schneider E, McArthur J, Geocadin R, Venkatesan A. Predictors of outcome in acute encephalitis. Neurology 2013, 81: 793-800. PMID: 23892708, PMCID: PMC3908458, DOI: 10.1212/wnl.0b013e3182a2cc6d.Peer-Reviewed Original ResearchConceptsMultivariate logistic regression analysisPredictors of outcomeStatus epilepticusLogistic regression analysisCerebral edemaHospital dischargePoor outcomeJohns Hopkins Bayview Medical CenterPredictors of deathFurther prospective studiesIntensive care unitJohns Hopkins HospitalRegression analysisIntubation requirementAutoimmune etiologyAcute encephalitisAggressive managementVentilator supportMedian ageCare unitViral encephalitisProspective studyEncephalitis casesUnknown causeRetrospective analysis