2023
Comparing population-based fetal growth standards in a US cohort
Gleason J, Reddy U, Chen Z, Grobman W, Wapner R, Steller J, Simhan H, Scifres C, Blue N, Parry S, Grantz K. Comparing population-based fetal growth standards in a US cohort. American Journal Of Obstetrics And Gynecology 2023, 231: 338.e1-338.e18. PMID: 38151220, PMCID: PMC11196385, DOI: 10.1016/j.ajog.2023.12.034.Peer-Reviewed Original ResearchComposite perinatal morbidityFetal growth standardsPerinatal morbidityNeonatal morbidityWorld Health OrganizationGrowth standardsEunice Kennedy Shriver National InstituteNulliparous Pregnancy Outcomes StudyHighest AUCComposite neonatal morbiditySubsequent neonatal morbidityU.S. clinical centersFetal growth restrictionRisk of morbidityRace/Management of pregnancyPregnancy Outcomes StudyAntenatal monitoringNulliparous womenFetal weightFirst trimesterVisit 2Visit 3US cohortClinical centersLung Cancer Risk Prediction Models for Asian Ever-Smokers
Yang J, Wen W, Zahed H, Zheng W, Lan Q, Abe S, Rahman M, Islam M, Saito E, Gupta P, Tamakoshi A, Koh W, Gao Y, Sakata R, Tsuji I, Malekzadeh R, Sugawara Y, Kim J, Ito H, Nagata C, You S, Park S, Yuan J, Shin M, Kweon S, Yi S, Pednekar M, Kimura T, Cai H, Lu Y, Etemadi A, Kanemura S, Wada K, Chen C, Shin A, Wang R, Ahn Y, Shin M, Ohrr H, Sheikh M, Blechter B, Ahsan H, Boffetta P, Chia K, Matsuo K, Qiao Y, Rothman N, Inoue M, Kang D, Robbins H, Shu X. Lung Cancer Risk Prediction Models for Asian Ever-Smokers. Journal Of Thoracic Oncology 2023, 19: 451-464. PMID: 37944700, PMCID: PMC11126207, DOI: 10.1016/j.jtho.2023.11.002.Peer-Reviewed Original ResearchLow-intensity smokersLong-term quittersLung cancer riskRisk prediction modelProspective cohortCancer riskPopulation-based prospective cohortLung cancer risk prediction modelsLung cancer prediction modelsCancer risk prediction modelsRisk-based screeningRisk assessment toolEver smokersPooled analysisCancer prediction modelAsian cohortSmokersHighest AUCWestern populationsAsian populationsCohortGood calibrationQuittersAssessment toolRisk
2021
Development of a concise injury severity prediction model for pediatric patients involved in a motor vehicle collision
Hartka TR, McMurry T, Weaver A, Vaca FE. Development of a concise injury severity prediction model for pediatric patients involved in a motor vehicle collision. Traffic Injury Prevention 2021, 22: s74-s81. PMID: 34672889, PMCID: PMC8792360, DOI: 10.1080/15389588.2021.1975275.Peer-Reviewed Original ResearchConceptsInjury Severity ScorePediatric patientsTrauma triageSevere injuriesMultivariable logistic modelMotor vehicle collisionsEmergency medical services (EMS) providersPrehospital trauma triageOutcomes of interestLogistic regression modelsReceiver operator curve areaTrauma centerSeverity scoreMedical service providersRestraint usePatient injuryPatientsHighest AUCInjuryInjury listSignificant decreaseCurve areaSignificant differencesVehicle collisionsAirbag deployment
2018
What Associations Exist Between Comorbidity Indices and Postoperative Adverse Events After Total Shoulder Arthroplasty?
Fu MC, Ondeck NT, Nwachukwu BU, Garcia GH, Gulotta LV, Verma NN, Grauer JN. What Associations Exist Between Comorbidity Indices and Postoperative Adverse Events After Total Shoulder Arthroplasty? Clinical Orthopaedics And Related Research® 2018, 477: 881-890. PMID: 30614913, PMCID: PMC6437372, DOI: 10.1097/corr.0000000000000624.Peer-Reviewed Original ResearchConceptsNational Surgical Quality Improvement ProgramBody mass indexTotal shoulder arthroplastyPostoperative adverse eventsComorbidity indexAdverse eventsHighest AUCShoulder arthroplastyAnthropometric variablesSurgical Quality Improvement ProgramReverse total shoulder arthroplastyDiscriminative abilityCharlson Comorbidity IndexThirty-day outcomesSevere adverse eventsPreoperative risk stratificationModerate discriminative abilityYears of ageQuality Improvement ProgramGood discriminative abilityGreater associationCombination of ageAnesthesiologists classificationASA scoreMedical comorbidities
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