2023
Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis
Leis A, Mathis M, Kheterpal S, Zawistowski M, Mukherjee B, Pace N, O'Reilly-Shah V, Smith J, Karvonen-Gutierrez C. Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis. British Journal Of Anaesthesia 2023, 131: 37-46. PMID: 37188560, PMCID: PMC10308436, DOI: 10.1016/j.bja.2023.04.001.Peer-Reviewed Original ResearchConceptsOdds of acute kidney injuryAcute kidney injuryCardiometabolic diseasesNon-Hispanic blacksGroup of hospitalsKidney injuryCardiometabolic patternTotal joint arthroplasty complicationsObesity statusObesity patternsIncreased oddsDisease co-occurrenceIncreased odds of AKIRetrospective analysisRisk of postoperative acute kidney injuryLatent class analysisLatent classesPostoperative acute kidney injuryRisk of acute kidney injuryRisk factorsDifferential riskTotal joint replacementMetabolic syndromeObesityPostoperative AKI risk
2022
Per- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation
Ding N, Karvonen-Gutierrez C, Mukherjee B, Calafat A, Harlow S, Park S. Per- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation. Hypertension 2022, 79: 1876-1886. PMID: 35695012, PMCID: PMC9308661, DOI: 10.1161/hypertensionaha.121.18809.Peer-Reviewed Original ResearchMeSH KeywordsBlood PressureEnvironmental PollutantsFemaleFluorocarbonsHumansHypertensionWomen's HealthConceptsHazard ratioIncident hypertensionLowest tertileHighest tertileStudy of Women's HealthFree of hypertensionCalculate hazard ratiosAnnual follow-up visitsCardiovascular disease riskCox proportional hazards modelsQuantile g-computationWomen's cardiovascular disease riskWomen's HealthNo significant associationProportional hazards modelMidlife womenFollow-up visitG-computationDisease riskBlood pressure controlSerum concentrationsSignificant associationPositive associationHazards modelTertile
2018
Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
Wang X, Mukherjee B, Park S. Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014. Environment International 2018, 121: 683-694. PMID: 30316184, PMCID: PMC6268112, DOI: 10.1016/j.envint.2018.09.035.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreAssociated with obesityHeavy metal mixturesHeavy metalsMetal mixturesAssociation of cumulative exposureCumulative exposureComplex survey designEffects of cumulative exposurePhysical activityObesity measuresAdaptive elastic-netChronic conditionsExposure to heavy metalsInteraction of heavy metalsWaist circumferenceTotal body fatNHANES cyclesU.S. adultsEpidemiological researchType 2 diabetes mellitusCorrelated heavy metalSmoking statusHigher BMISkinfold thickness
2012
Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level
Mentz G, Schulz A, Mukherjee B, Ragunathan T, Perkins D, Israel B. Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level. BMC Health Services Research 2012, 12: 312. PMID: 22967264, PMCID: PMC3483283, DOI: 10.1186/1472-6963-12-312.Peer-Reviewed Original ResearchConceptsHealthy Environments PartnershipSelf-reported hypertension prevalenceEstimates of hypertension prevalenceSelf-reported dataHypertension prevalenceNHANES sampleUrban sampleNational Health and Nutrition ExaminationSelf-reportAssessment of population healthPopulation-based interventionsSelf-reported hypertensionUnderreporting of hypertensionEstimates of hypertensionAccuracy of self-reported dataHealth care programsPrevalence of hypertensionMethodsWe analyzed dataPopulation level estimatesModerate to goodSelf-reported survey dataEthnically diverse urban samplePopulation healthCare programNutrition Examination
2011
PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio
Kamal A, Rohr A, Mukherjee B, Morishita M, Keeler G, Harkema J, Wagner J. PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio. Inhalation Toxicology 2011, 23: 417-430. PMID: 21639710, DOI: 10.3109/08958378.2011.580387.Peer-Reviewed Original ResearchConceptsNE windsSW windsSource factorsMobile source factorsPositive matrix factorizationConcentrated ambient particlesPotential emission sourcesSources of PM(2.5Adverse health effectsPM constituentsWind directionParticulate matterMobile sourcesIndividual elemental componentsTrace elementsAmbient particlesIron/steel productionPM(2.5IncinerationAmbient PM(2.5Metal factorWindHealth effectsExposure to concentrated ambient particlesSouthwest
2010
Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan
Rohr A, Kamal A, Morishita M, Mukherjee B, Keeler G, Harkema J, Wagner J. Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan. Environmental Health Perspectives 2010, 119: 474-480. PMID: 21163724, PMCID: PMC3080928, DOI: 10.1289/ehp.1002831.Peer-Reviewed Original ResearchConceptsSource factorsPositive matrix factorizationNormal-to-normal intervalsLocal industrial sourcesParticulate matter componentsFine particulate matterSludge factorSemicontinuous ElementsSludge incinerationAerosol samplerAdverse cardiopulmonary health effectsAmbient particlesHeart rate variabilityExposure to fine particulate matterParticulate matterSulfation factorWinterRoot mean squareIndustrial sourcesIncreased root mean squareSummerCement/limeAnalytical resultsHeart rateSludge
2009
Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey
Park S, Mukherjee B, Xia X, Sparrow D, Weisskopf M, Nie H, Hu H. Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey. Journal Of Occupational And Environmental Medicine 2009, 51: 1422-1436. PMID: 19952788, PMCID: PMC2939477, DOI: 10.1097/jom.0b013e3181bf6c8d.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBone and BonesBostonCohort StudiesEnvironmental ExposureFemaleHumansHypertensionLeadLongitudinal StudiesMaleMiddle AgedNutrition SurveysPatellaRadiographyRegression AnalysisRisk AssessmentRisk FactorsSpectrometry, X-Ray EmissionTibiaUnited StatesUnited States Department of Veterans AffairsYoung AdultConceptsNational Health and Nutrition Examination SurveyThird National Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyCommunity-based cohortPatella leadExamination SurveyCohort of older menCommunity-based cohort of older menK X-ray fluorescenceNHANES-IIISignificant associationBlood lead levelsOlder menStandard covariatesPatellaExternal validationCorrelation coefficientBlood leadLead exposureTibiaLead levelsAssociationSurveyLead studies