2024
Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures
Kyanko K, Sahay K, Wang Y, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Yen B, Suter L, Triche E, Li S. Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures. Health Services Research 2024 PMID: 38961668, DOI: 10.1111/1475-6773.14350.Peer-Reviewed Original ResearchCenters for Medicare & Medicaid ServicesMedicare Advantage OrganizationsHospital outcome measuresPrincipal diagnosis codeOutcome measuresInpatient claimsDiagnosis codesMedicare AdvantageNational Provider IdentifierMedicare Advantage dataAcute careIntegrated data repositoryProvider IdentifierMedicaid ServicesMedicare dischargesMA claimsDuplicate claimsMA dataDemographic characteristicsCertificate numberMedicareHospitalEnrollment dataCompare diagnosesAdmissionIncorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated data repositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-causePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohortPre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality
Peter D, Li S, Wang Y, Zhang J, Grady J, McDowell K, Norton E, Lin Z, Bernheim S, Venkatesh A, Fleisher L, Schreiber M, Suter L, Triche E. Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality. BMJ Open 2024, 14: e077394. PMID: 38553067, PMCID: PMC10982775, DOI: 10.1136/bmjopen-2023-077394.Peer-Reviewed Original ResearchConceptsHospital qualityPatient experiencePre-COVID-19Medicare patientsShort-term acute care hospitalsCritical access hospitalsAcute care hospitalsFuture public health emergenciesHigher odds of mortalityIn-hospitalRisk-adjusted mortalityOdds of mortalityCare deliveryAccess hospitalsEffective careCOVID-19-related deathsAssociated with mortalityCare structuresHospital characteristicsPublic health emergencySummary scoreMedicare beneficiariesHigher oddsHospital responseRSMRs
2022
Quantification of upper limb dysfunction in the activities of the daily living in persons with multiple sclerosis
Pisa M, Ruiz J, DeLuca G, de Andres Crespo M, DelMastro H, Olson K, Triche E, Lo A. Quantification of upper limb dysfunction in the activities of the daily living in persons with multiple sclerosis. Multiple Sclerosis And Related Disorders 2022, 63: 103917. PMID: 35671673, DOI: 10.1016/j.msard.2022.103917.Peer-Reviewed Original ResearchConceptsNine-Hole Peg TestFinger-nose testUL dysfunctionMultiple sclerosisDaily livingDisease severity subgroupsUpper limb functionUpper limb dysfunctionCharacteristic curve analysisJonckheere-Terpstra testUL functionDisease stageLimb functionGrip strengthPeg TestClinical trialsDisease progressionLimb dysfunctionGlobal disabilityMultivariate regression modelKruskal-Wallis testPredictive valueSeverity subgroupsLinear regression analysisDysfunction
2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomesApparent Increase in Chronic Obstructive Pulmonary Disease Mortality Is Likely an Artifact of Changes in Documentation and Coding
Lindenauer PK, Yu H, Grady J, Dorsey K, Triche EW. Apparent Increase in Chronic Obstructive Pulmonary Disease Mortality Is Likely an Artifact of Changes in Documentation and Coding. American Journal Of Respiratory And Critical Care Medicine 2021, 203: 647-649. PMID: 33166177, PMCID: PMC7924577, DOI: 10.1164/rccm.202009-3697le.Peer-Reviewed Original Research
2020
Prospective, randomized, double-blind, placebo-controlled evaluation of the Pharmacokinetics, Safety and Efficacy of Recombinant Antithrombin Versus Placebo in Preterm Preeclampsia
Paidas MJ, Tita ATN, Macones GA, Saade GA, Ehrenkranz RA, Triche EW, Streisand JB, Lam GK, Magann EF, Lewis DF, Dombrowski MP, Werner EF, Branch DW, Habli MA, Grotegut CA, Silver RM, Longo SA, Amon E, Cleary K, How HY, Novotny SR, Grobman WA, Whiteman VE, Wing DA, Scifres CM, Sibai BM. Prospective, randomized, double-blind, placebo-controlled evaluation of the Pharmacokinetics, Safety and Efficacy of Recombinant Antithrombin Versus Placebo in Preterm Preeclampsia. American Journal Of Obstetrics And Gynecology 2020, 223: 739.e1-739.e13. PMID: 32780999, DOI: 10.1016/j.ajog.2020.08.004.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, IntravenousAdolescentAdultAntithrombin ProteinsCesarean SectionDelivery, ObstetricDouble-Blind MethodFemaleFetal DistressGestational AgeHumansInfant, Premature, DiseasesInfant, Small for Gestational AgeMiddle AgedNeonatal SepsisPerinatal MortalityPre-EclampsiaPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdProspective StudiesRecombinant ProteinsYoung AdultConceptsRecombinant human antithrombinPreterm preeclampsiaExpectant managementMorbidity scoreHuman antithrombinPlacebo-controlled clinical trialPlacebo-controlled evaluationPlacebo-controlled trialMedian gestational ageMaternal complicationsVersus PlaceboFetal outcomesMaternal outcomesPreterm deliveryEndothelial dysfunctionSecondary outcomesSingleton pregnanciesStandard therapyLoading dosePrimary outcomeWeeks' gestationGestational ageContinuous infusionClinical trialsSaline infusion
2019
Development and Validation of a Risk Prediction Model for Cesarean Delivery After Labor Induction
Danilack VA, Hutcheon JA, Triche EW, Dore DD, Muri JH, Phipps MG, Savitz DA. Development and Validation of a Risk Prediction Model for Cesarean Delivery After Labor Induction. Journal Of Women's Health 2019, 29: 656-669. PMID: 31657668, PMCID: PMC8935479, DOI: 10.1089/jwh.2019.7822.Peer-Reviewed Original ResearchConceptsLabor inductionCesarean deliveryHistory of herpesTerm labor inductionInternal validationExcessive fetal growthBetter risk stratificationExternal validation cohortVariables gestational ageRisk prediction modelStart of inductionRisk stratificationTime of inductionDevelopment cohortValidation cohortMaternal ageFetal growthMaternal raceMedical indicationsWoman's riskU.S. hospitalsCharacteristic curveHospitalCohortInductionDevelopment and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data
Krumholz HM, Warner F, Coppi A, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Desai NR, Lin Z, Normand ST. Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data. JAMA Network Open 2019, 2: e198406. PMID: 31411709, PMCID: PMC6694388, DOI: 10.1001/jamanetworkopen.2019.8406.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failurePopulation-based programsPOA codesSingle diagnostic codeDiagnostic codesComparative effectiveness research studyPublic reportingIndex admission diagnosisDays of hospitalizationClinical Modification codesService claims dataAcute care hospitalsMultiple care settingsPatient-level modelsAdmission diagnosisTotal hospitalizationsCare hospitalPrevious diagnosisNinth RevisionMyocardial infarctionCandidate variablesCare settingsClaims dataMAIN OUTCOMEComparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data
Krumholz HM, Coppi AC, Warner F, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Lin Z, Normand ST. Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data. JAMA Network Open 2019, 2: e197314. PMID: 31314120, PMCID: PMC6647547, DOI: 10.1001/jamanetworkopen.2019.7314.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionICD-9-CM codesMortality risk modelHeart failureHospital admissionC-statisticMAIN OUTCOMEMortality rateRisk-standardized mortality ratesHospital risk-standardized mortality ratesIndex admission diagnosisPatients 65 yearsDays of hospitalizationComparative effectiveness studiesClaims-based dataHospital-level performance measuresMedicare claims dataPatient-level modelsCMS modelRisk-adjustment modelsRisk modelHospital performance measuresAdmission diagnosisNinth RevisionMyocardial infarction
2018
Gene-Centric Analysis of Preeclampsia Identifies Maternal Association at PLEKHG1
Gray KJ, Kovacheva VP, Mirzakhani H, Bjonnes AC, Almoguera B, DeWan AT, Triche EW, Saftlas AF, Hoh J, Bodian DL, Klein E, Huddleston KC, Ingles SA, Lockwood CJ, Hakonarson H, McElrath TF, Murray JC, Wilson ML, Norwitz ER, Karumanchi SA, Bateman BT, Keating BJ, Saxena R. Gene-Centric Analysis of Preeclampsia Identifies Maternal Association at PLEKHG1. Hypertension 2018, 72: 408-416. PMID: 29967039, PMCID: PMC6043396, DOI: 10.1161/hypertensionaha.117.10688.Peer-Reviewed Original ResearchQuantification characteristics of digital spiral analysis for understanding the relationship among tremor and clinical measures in persons with multiple sclerosis
DelMastro H, Ruiz J, Gromisch E, Garbalosa J, Triche E, Olson K, Lo A. Quantification characteristics of digital spiral analysis for understanding the relationship among tremor and clinical measures in persons with multiple sclerosis. Journal Of Neuroscience Methods 2018, 307: 254-259. PMID: 29940199, DOI: 10.1016/j.jneumeth.2018.06.016.Peer-Reviewed Original Research
2017
The relationship between early childhood head injury and later life criminal behaviour: a longitudinal cohort study
Jackson T, Braun J, Mello M, Triche E, Buka S. The relationship between early childhood head injury and later life criminal behaviour: a longitudinal cohort study. Journal Of Epidemiology & Community Health 2017, 71: 800. PMID: 28663442, DOI: 10.1136/jech-2016-208582.Peer-Reviewed Original ResearchConceptsHead injuryChildhood Head InjurySevere head injuryHead injury casesLongitudinal cohort studyStatistical significanceMulticentre longitudinal studyAges 0Binomial regressionCollaborative Perinatal ProjectProvidence cohortCohort studyConduct problemsUninjured controlsPrenatal factorsChild healthInjury casesPerinatal ProjectInjuryNegative binomial regressionPropensity scoreYoung childhoodHealth recordsLongitudinal studyPsychological problemsThe Effect of Labour Induction on the Risk of Caesarean Delivery
Danilack V, Dore D, Triche E, Muri J, Phipps M, Savitz D. The Effect of Labour Induction on the Risk of Caesarean Delivery. Obstetric Anesthesia Digest 2017, 37: 83. DOI: 10.1097/01.aoa.0000515754.91071.a0.Peer-Reviewed Original ResearchRisk of CDLabor inductionCesarean deliveryIntrauterine growth restrictionCaesarean deliveryExpectant managementPostterm pregnancyUnderwent inductionGrowth restrictionPropensity score methodsMedical reasonsPropensity scoreEffect estimatesPreeclampsiaRiskInductionPresent studyAssociationScore methodPotential benefitsIndicationsDeliveryOligohydramniosPregnancyFetuses
2016
Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia
Spracklen CN, Smith CJ, Saftlas AF, Triche EW, Bjonnes A, Keating BJ, Saxena R, Breheny PJ, Dewan AT, Robinson JG, Hoh J, Ryckman KK. Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia. Hypertension In Pregnancy 2016, 36: 30-35. PMID: 27657194, PMCID: PMC5538572, DOI: 10.1080/10641955.2016.1223303.Peer-Reviewed Original ResearchConceptsC-reactive proteinGenetic risk scoreRisk of preeclampsiaBody mass indexGenetic predispositionCRP levelsPreeclampsia casesRisk scoreCRP genetic risk scoreElevated C-reactive proteinLeisure-time physical activityBlood CRP levelsIndependent replication populationMarkers of preeclampsiaElevated levelsMedical chart reviewLive birth certificatesLogistic regression analysisInverse linear trendChart reviewIowa womenNormotensive controlsDecreased riskMass indexPhysical activityComparing expectant management and spontaneous labor approaches in studying the effect of labor induction on cesarean delivery
Danilack VA, Triche EW, Dore DD, Muri JH, Phipps MG, Savitz DA. Comparing expectant management and spontaneous labor approaches in studying the effect of labor induction on cesarean delivery. Annals Of Epidemiology 2016, 26: 405-411.e1. PMID: 27211604, DOI: 10.1016/j.annepidem.2016.04.009.Peer-Reviewed Original ResearchConceptsCesarean deliveryLabor inductionExpectant managementRisk ratioWeek 34Week 37Comparison groupRisk of CDIntrauterine growth restrictionMother-newborn dyadsSpontaneous laborVaginal deliveryWeeks' gestationWeek 36Maternal ageSpontaneous onsetGrowth restrictionDiabetic disordersWeek 40High riskLower riskClinical practiceWeek 41Member hospitalsGestationdbPEC: a comprehensive literature-based database for preeclampsia related genes and phenotypes
Uzun A, Triche EW, Schuster J, Dewan AT, Padbury JF. dbPEC: a comprehensive literature-based database for preeclampsia related genes and phenotypes. Database 2016, 2016: baw006. PMID: 26946289, PMCID: PMC4779341, DOI: 10.1093/database/baw006.Peer-Reviewed Original ResearchChanges in Cognitive Processing Speed, Mood, and Fatigue in an Observational Study of Persons With Multiple Sclerosis Treated With Dalfampridine-ER
Triche E, Ruiz J, Olson K, Lo A. Changes in Cognitive Processing Speed, Mood, and Fatigue in an Observational Study of Persons With Multiple Sclerosis Treated With Dalfampridine-ER. Clinical Neuropharmacology 2016, 39: 73-80. PMID: 26818040, DOI: 10.1097/wnf.0000000000000130.Peer-Reviewed Original ResearchConceptsDalfampridine extended releaseMultiple sclerosisWalk respondersObservational pre-post studyPre-post studyPerformance ScaleDegenerative neurological conditionDalfampridine-ERMS careFatigue scoresObservational studyResponder statusWeek 14Neurological conditionsSignificant improvementCognitive processing speedSelf-reported cognitionMood scoresWeeksSclerosisSDMTRespondersMoodDrugsDepressionPhysical Activity During Pregnancy and Subsequent Risk of Preeclampsia and Gestational Hypertension: A Case Control Study
Spracklen C, Ryckman K, Triche E, Saftlas A. Physical Activity During Pregnancy and Subsequent Risk of Preeclampsia and Gestational Hypertension: A Case Control Study. Maternal And Child Health Journal 2016, 20: 1193-1202. PMID: 26910608, PMCID: PMC5538351, DOI: 10.1007/s10995-016-1919-y.Peer-Reviewed Original ResearchConceptsRisk of preeclampsiaLeisure-time PAGestational hypertensionSedentary activitiesMedical chart reviewCase-control studyGestational hypertensiveObjectivePhysical activityPreeclampsia resultsPregnancy hypertensionPrepregnancy BMINormotensive womenChart reviewHypertension riskPreeclampsia riskSubsequent riskPreeclampsiaEpidemiologic studiesPA exposurePhysical activityMultinomial logistic regressionHypertensionControl studyDisease statusBirth records
2015
The Rising Burden of Preeclampsia in the United States Impacts Both Maternal and Child Health
Shih T, Peneva D, Xu X, Sutton A, Triche E, Ehrenkranz RA, Paidas M, Stevens W. The Rising Burden of Preeclampsia in the United States Impacts Both Maternal and Child Health. American Journal Of Perinatology 2015, 33: 329-338. PMID: 26479171, DOI: 10.1055/s-0035-1564881.Peer-Reviewed Original ResearchConceptsEarly-onset preeclampsiaNumerous adverse health consequencesHealth consequencesConsiderable perinatal morbidityAdverse health consequencesEstimates of burdenSeverity of outcomePerinatal morbidityPreterm deliveryPreterm birthTerm pregnancyMaternal mortalityUS incidencePreeclampsiaChild healthEffective treatmentEconomic burdenRising BurdenSocial burdenHealth careBurdenMortalityUnited StatesHealthMothers