2020
Ensuring Patient Protections When Tapering Opioids: Consensus Panel Recommendations
Covington E, Argoff C, Ballantyne J, Cowan P, Gazelka H, Hooten W, Kertesz S, Manhapra A, Murphy J, Stanos S, Sullivan M. Ensuring Patient Protections When Tapering Opioids: Consensus Panel Recommendations. Mayo Clinic Proceedings 2020, 95: 2155-2171. PMID: 33012347, DOI: 10.1016/j.mayocp.2020.04.025.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidHumansOpioid-Related DisordersPractice Guidelines as TopicRisk FactorsConceptsLong-term opioid therapyOpioid therapyConsensus panel recommendationsOngoing pain managementSerious withdrawal symptomsSerious adverse outcomesDifferent patient populationsHealth care professionalsLong-term useOpioid reductionOpioid taperTapering opioidsUncontrolled painPain cliniciansPain managementAdverse outcomesCertain patientsPatient populationWithdrawal symptomsPrimary careCare professionalsPatient advocatesOpioidsIllicit substancesBeneficial effects
2019
High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans.
Banerjee G, Edelman EJ, Barry DT, Crystal S, Gordon KS, Gordon AJ, Gaither JR, Green TC, Kerns RD, Manhapra A, Moore BA, Fiellin DA, Marshall BDL. High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans. Pain 2019, 160: 2126-2135. PMID: 31145217, PMCID: PMC6699915, DOI: 10.1097/j.pain.0000000000001606.Peer-Reviewed Original ResearchConceptsHigh-dose opioid prescriptionsOpioid prescriptionsHeroin useCohort studyPrior receiptHepatitis C virus (HCV) infection statusLong-term opioid prescriptionsPast-year heroin useVeterans Aging Cohort StudyHigh-dose opioidsOpioid-prescribing patternsProspective cohort studyAging Cohort StudyOpioid use disorderCurrent national guidelinesUnhealthy alcohol useUnited States veteransUnited States military veteransVirus infection statusPosttraumatic stress disorderOpioid receiptPrescribed opioidsPain interferenceCox regressionStates veterans
2007
Differences in the prevalence of metabolic syndrome in urban and rural India: a problem of urbanization
Prabhakaran D, Chaturvedi V, Shah P, Manhapra A, Jeemon P, Shah B, Srinath Reddy K. Differences in the prevalence of metabolic syndrome in urban and rural India: a problem of urbanization. Chronic Illness 2007, 3: 8-19. PMID: 18072694, DOI: 10.1177/1742395307079197.Peer-Reviewed Original Research
2005
Sex and Racial Differences in the Management of Acute Myocardial Infarction, 1994 through 2002
Vaccarino V, Rathore SS, Wenger NK, Frederick PD, Abramson JL, Barron HV, Manhapra A, Mallik S, Krumholz HM. Sex and Racial Differences in the Management of Acute Myocardial Infarction, 1994 through 2002. New England Journal Of Medicine 2005, 353: 671-682. PMID: 16107620, PMCID: PMC2805130, DOI: 10.1056/nejmsa032214.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAspirinBlack PeopleCoronary AngiographyFemaleHealth Services AccessibilityHospital MortalityHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionMyocardial RevascularizationPlatelet Aggregation InhibitorsProcess Assessment, Health CareQuality of Health CareRisk FactorsSex FactorsUnited StatesWhite PeopleConceptsUse of aspirinMyocardial infarctionReperfusion therapyCoronary angiographyRacial differencesTreatment of patientsHospital deathHospital mortalityMultivariable adjustmentUnadjusted analysesNational registryInfarctionWhite womenAspirinAngiographyTherapyWhite menSexPatientsBlack womenSex differencesParticular treatmentBlack menWomenDeathCardiovascular risk factor prevalence among men in a large industry of northern India.
Prabhakaran D, Shah P, Chaturvedi V, Ramakrishnan L, Manhapra A, Reddy K. Cardiovascular risk factor prevalence among men in a large industry of northern India. The National Medical Journal Of India 2005, 18: 59-65. PMID: 15981439.Peer-Reviewed Original ResearchConceptsCVD risk factorsCoronary heart diseaseRisk factorsCardiovascular diseaseMetabolic syndromeHeart diseaseCardiovascular risk factor prevalenceMajor CVD risk factorsPrevalence of CVDLarge industrial populationRisk factor burdenCardiovascular risk profileHistory of strokeImpaired glucose toleranceRose angina questionnaireRisk factor prevalenceYoung male populationYears of ageCross-sectional surveyStatus of awarenessHypertension 30Angina QuestionnaireCentral obesityBlood pressureFactor prevalence
2004
Relation of age and race with hospital death after acute myocardial infarction
Manhapra A, Canto J, Vaccarino V, Parsons L, Kiefe C, Barron H, Rogers W, Weaver W, Borzak S. Relation of age and race with hospital death after acute myocardial infarction. American Heart Journal 2004, 148: 92-98. PMID: 15215797, DOI: 10.1016/j.ahj.2004.02.010.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital mortality rateHigher hospital mortality rateShort-term deathHospital deathMortality rateClinical presentationBlack raceMyocardial infarctionHospital characteristicsRelation of ageEarly treatmentAdjusted hospital mortality ratesHigher crude mortality rateMyocardial Infarction 2Overall crude mortalityCrude mortality rateInfluence of ageCrude mortalityAMI populationNational registryHigher oddsHigh riskUS hospitalsAge groupsWhy is chronic kidney disease the “spoiler” for cardiovascular outcomes: an alternate take from a generalist
Manhapra A. Why is chronic kidney disease the “spoiler” for cardiovascular outcomes: an alternate take from a generalist. Journal Of The American College Of Cardiology 2004, 43: 924. PMID: 14998637, DOI: 10.1016/j.jacc.2003.12.017.Peer-Reviewed Original Research