2021
The multiple sclerosis prodrome
Makhani N, Tremlett H. The multiple sclerosis prodrome. Nature Reviews Neurology 2021, 17: 515-521. PMID: 34155379, PMCID: PMC8324569, DOI: 10.1038/s41582-021-00519-3.Peer-Reviewed Original ResearchConceptsMultiple sclerosisMS prodromeProdromal phaseCause of MSLong-term disabilityMultiple sclerosis prodromePutative risk factorsProfound clinical implicationsRelapse rateClinical featuresEarly recognitionInflammatory diseasesRisk factorsEarly initiationProdromePotential biomarkersClinical implicationsTypical symptomsDiseaseSymptomsFuture initiativesSclerosisMajor knowledge gapsBiomarkersPossible duration
2020
An 18-month longitudinal study of suicidality in patients diagnosed with schizophrenia
Buchanan A, Sint K, Stefanovics E, Rosenheck R. An 18-month longitudinal study of suicidality in patients diagnosed with schizophrenia. Schizophrenia Research 2020, 224: 102-107. PMID: 33046335, DOI: 10.1016/j.schres.2020.09.019.Peer-Reviewed Original ResearchConceptsRisk factorsSevere suicidalityHazard ratioDepression scoresIntervention Effectiveness (CATIE) trialMultivariate hazard ratiosHigh-risk groupImportant risk factorPotential risk factorsProportional hazards modelPutative risk factorsSubjects' depression scoresSymptoms of schizophreniaUnstable illnessAntipsychotic treatmentPatient populationSelf-reported suicide attemptsClinical changesEffectiveness trialHigh riskPsychotic decompensationPsychotic symptomsHazards modelMultivariate analysisPrior suicidalityEpidemiology and Risk Factors
Amin H, Schindler J. Epidemiology and Risk Factors. 2020, 49-55. DOI: 10.1007/978-3-030-52552-1_5.ChaptersRisk factorsStroke riskNon-modifiable risk factorsIndividual stroke riskSignificant global health burdenModifiable risk factorsGlobal health burdenPutative risk factorsStroke physiciansInsulin resistanceOutpatient settingHealth burdenFuture burdenStrokeBurdenRiskFactorsInternistsEpidemiologyPhysiciansTrialsSuicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness
Aslan M, Radhakrishnan K, Rajeevan N, Sueiro M, Goulet JL, Li Y, Depp C, Concato J, Harvey PD. Suicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness. Journal Of Affective Disorders 2020, 267: 144-152. PMID: 32063566, DOI: 10.1016/j.jad.2020.02.022.Peer-Reviewed Original ResearchConceptsSuicidal ideationCause mortalityBipolar disorderFemale veteransSuicide attemptsMore lifetime suicide attemptsMedical-psychiatric comorbidityLower overall mortalitySevere mental illnessPutative risk factorsLifetime suicidal ideationSelf-reported suicidal ideationLifetime suicide attemptsSuicide-specific mortalityClinical characteristicsOverall mortalityCox regressionPsychiatric comorbidityRisk factorsUS veteransCrude rateHigh riskSame diagnosisGeneral populationMale veterans
2019
DEPRESSION PREDICTS DELIRIUM AFTER CORONARY ARTERY BYPASS GRAFT SURGERY INDEPENDENT OF COGNITIVE IMPAIRMENT AND CEREBROVASCULAR DISEASE: AN ANALYSIS OF THE NOAHS STUDY
Lin I, Oldham M, Hawkins K, Scoutt L, Yuh D, Lee H. DEPRESSION PREDICTS DELIRIUM AFTER CORONARY ARTERY BYPASS GRAFT SURGERY INDEPENDENT OF COGNITIVE IMPAIRMENT AND CEREBROVASCULAR DISEASE: AN ANALYSIS OF THE NOAHS STUDY. American Journal Of Geriatric Psychiatry 2019, 27: s160-s161. DOI: 10.1016/j.jagp.2019.01.113.Peer-Reviewed Original ResearchMiddle cerebral arteryMild cognitive impairmentCerebrovascular diseaseCognitive impairmentRisk factorsCoronary artery bypass graft surgeryStenosis severityArtery bypass graft surgeryBilateral middle cerebral arteriesPreoperative cognitive assessmentBypass graft surgeryConfusion Assessment MethodCoronary artery bypassRisk of deliriumDelirium risk factorsObservational cohort studyPostoperative day 2Clinical Dementia RatingPutative risk factorsResults Average ageCI 1.3Preoperative depressionStructured HamiltonStudy psychiatristArtery bypass
2016
Epidemiology and Risk Factors
Amin H, Schindler J. Epidemiology and Risk Factors. 2016, 37-42. DOI: 10.1007/978-3-319-39605-7_5.ChaptersRisk factorsStroke riskIndividual stroke riskSignificant global health burdenModifiable risk factorsNonmodifiable risk factorsGlobal health burdenPutative risk factorsStroke physiciansInsulin resistanceOutpatient settingHealth burdenFuture burdenStrokeBurdenRiskFactorsInternistsEpidemiologyPhysiciansTrials
2002
Analysis of Proportions
Holford T. Analysis of Proportions. 2002, 39-80. DOI: 10.1093/acprof:oso/9780195124408.003.0003.Chapters
1999
Risk Factors for Anorexia Nervosa: Three Integrated Case-Control Comparisons
Fairburn CG, Cooper Z, Doll HA, Welch SL. Risk Factors for Anorexia Nervosa: Three Integrated Case-Control Comparisons. JAMA Psychiatry 1999, 56: 468-476. PMID: 10232302, DOI: 10.1001/archpsyc.56.5.468.Peer-Reviewed Original ResearchConceptsRisk factorsPsychiatric disordersAnorexia nervosaBulimia nervosaHealthy control subjectsParental psychiatric disordersPutative risk factorsCase-control comparisonCase-control designParental obesityControl subjectsHealthy controlsEarly menarcheFemale subjectsNervosaPsychiatric controlsDisordersSubjectsGreater exposureExposureMost casesFactorsObesityMenarche
1996
Tree-based, Two-stage Risk Factor Analysis for Spontaneous Abortion
Zhang H, Bracken M. Tree-based, Two-stage Risk Factor Analysis for Spontaneous Abortion. American Journal Of Epidemiology 1996, 144: 989-996. PMID: 8916510, DOI: 10.1093/oxfordjournals.aje.a008869.Peer-Reviewed Original ResearchConceptsSpontaneous abortionPutative risk factorsRisk factorsPotential confoundersFirst monthYears of smokingNegative pregnancy outcomesNumber of pregnanciesRisk factor analysisNew risk factorsPotential confounding factorsPregnancy outcomesGynecologic problemsMaternal ageMore cupsMother's heightPregnancyConfounding factorsPassive exposureCocaine useLogistic regressionMantel-HaenszelAbortionConfoundersBirth control
1995
Tree-based Risk Factor Analysis of Preterm Delivery and Small-for-Gestational-Age Birth
Zhang H, Bracken M. Tree-based Risk Factor Analysis of Preterm Delivery and Small-for-Gestational-Age Birth. American Journal Of Epidemiology 1995, 141: 70-78. PMID: 7801968, DOI: 10.1093/oxfordjournals.aje.a117347.Peer-Reviewed Original ResearchConceptsPreterm deliveryYale-New Haven HospitalGestational age infantsGestational-age birthsRisk factor analysisPutative risk factorsPassive smokingGestational ageAge infantsMaternal ageRisk factorsCaffeine consumptionSecondary analysisAlcohol useMarital statusSmokingBlack womenMarijuana useAgeOutcomesDeliveryNew Haven
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