2025
Cannabis Use Disorder Among People With and Without HIV.
Haley D, So-Armah K, Justice A, Kidwai-Khan F, Xuan Z, Sayko Adams R, Fox M, Edelman E, Wrona A, Silverberg M, Satre D, Trickey A, Ingle S, McGinnis K. Cannabis Use Disorder Among People With and Without HIV. Journal Of Addiction Medicine 2025 PMID: 40358026, DOI: 10.1097/adm.0000000000001505.Peer-Reviewed Original ResearchCannabis use disorderNon-HispanicHIV statusElectronic health recordsBlack non-HispanicNational US cohortCannabis useUse disorderMultivariate logistic modelHealth recordsCohort of PLWHOlder PLWHPrescription medicationsInternational ClassificationUniversal screeningGeneral populationPLWHDemographic characteristicsPLWOHPotential harmAging populationAge groupsHIVRace/ethnicityTreatment advancesHealth and Utilization Burden of Obstructive Sleep Apnea among U.S. Active-Duty Military Personnel
Wickwire E, Capaldi V, Herrin J, Stryckman B, Thomas C, Williams S, Werner J, Funk W, Nassif T, Albrecht J. Health and Utilization Burden of Obstructive Sleep Apnea among U.S. Active-Duty Military Personnel. CHEST Journal 2025 PMID: 40368028, DOI: 10.1016/j.chest.2025.05.007.Peer-Reviewed Original ResearchObstructive sleep apneaBurden of obstructive sleep apneaSleep apneaUtilization burdenNewly diagnosed OSAIncreased riskObstructive sleep apnea diagnosisObstructive sleep apnea treatmentMonths of continuous enrollmentAssociated with increased riskHealthcare resource utilizationActive-duty military personnelInternational Classification of DiseasesMilitary Data RepositoryContinuous enrollmentClassification of DiseasesPsychological health outcomesWhite racePsychiatric comorbiditiesService membersApneaED encountersHealth outcomesInternational ClassificationMedical outcomesHealthcare Expenditure on Atrial Fibrillation in the United States The Medical Expenditure Panel Survey 2016 to 2021
See C, Grubman S, Shah N, Hu J, Nanna M, Freeman J, Murugiah K. Healthcare Expenditure on Atrial Fibrillation in the United States The Medical Expenditure Panel Survey 2016 to 2021. JACC Advances 2025, 4: 101716. PMID: 40286372, PMCID: PMC12103078, DOI: 10.1016/j.jacadv.2025.101716.Peer-Reviewed Original ResearchMedical Expenditure Panel SurveyHealthcare expendituresInternational Classification of Disease-10 codesNationally representative assessmentTotal healthcare expendituresPoor income levelsPanel SurveyHigher expendituresIncreased healthcare expendituresAssociated with higher expendituresChronic obstructive pulmonary diseaseModified Charlson Comorbidity IndexObstructive pulmonary diseaseInpatient visitsInternational ClassificationType 2 diabetes mellitusSurvey yearCharlson Comorbidity IndexAtherosclerotic cardiovascular diseaseUnited StatesIdentifying individualsCardiovascular diseaseGamma regression modelRegression modelsRepresentative assessmentIsolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports
Rashedi S, Bejjani A, Hunsaker A, Aghayev A, Khairani C, McGonagle B, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Monreal M, Barco S, Secemsky E, Klok F, Muriel A, Hussain M, Appah-Sampong A, Rahaghi F, Sadeghipour P, Lin Z, Mojibian H, Aneja S, Konstantinides S, Goldhaber S, Wang L, Zhou L, Jimenez D, Krumholz H, Piazza G, Bikdeli B, Investigators T. Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports. Thrombosis Research 2025, 247: 109271. PMID: 39862754, DOI: 10.1016/j.thromres.2025.109271.Peer-Reviewed Original ResearchInternational Classification of Diseases (ICD)-10 codesICD-10International ClassificationPositive predictive valueDischarge diagnosisAccuracy of ICD-10Radiology reportsPrincipal discharge diagnosisSecondary discharge diagnosisIsolated subsegmental pulmonary embolismMedical records of adult patientsHealth systemRecords of adult patientsPredictive valueBlinded re-evaluationExpert radiologistsSubsegmental pulmonary embolismQuality improvementMedical recordsChart reviewPresence of PEProximal PEPulmonary embolismAdult patientsImaging ReportingUtility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder
Davis C, Jinwala Z, Hatoum A, Toikumo S, Agrawal A, Rentsch C, Edenberg H, Baurley J, Hartwell E, Crist R, Gray J, Justice A, Gelernter J, Kember R, Kranzler H, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder. JAMA Network Open 2025, 8: e2453913. PMID: 39786773, PMCID: PMC11718552, DOI: 10.1001/jamanetworkopen.2024.53913.Peer-Reviewed Original ResearchConceptsOpioid use disorder riskElectronic health record dataHealth record dataInternational Classification of DiseasesOpioid use disorderClassification of DiseasesGenetic variantsInternational ClassificationGenetic riskRecord dataRisk of opioid use disorderMillion Veteran ProgramOpioid use disorder diagnosisUse disorderCase-control studyVeteran ProgramMain OutcomesDiagnostic codesClinical careOpioid exposurePharmacy recordsLogistic regressionRisk allelesNagelkerke R2Clinically useful model
2024
Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care
Nugent J, Cueto V, Tong C, Sharifi M. Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care. Academic Pediatrics 2024, 25: 102629. PMID: 39732164, PMCID: PMC11893226, DOI: 10.1016/j.acap.2024.102629.Peer-Reviewed Original ResearchConceptsPediatric primary careIncident hypertensionHypertensive BPHypertension recognitionPrimary careRecognition of hypertensionCross-sectional study of children aged 3Diagnosis codesElectronic health record phenotypingClinician recognitionClinician decision supportGuideline-recommended careElectronic health recordsInternational Classification of DiseasesChart reviewDocumentation of hypertensionClassification of DiseasesCross-sectional studyChildren aged 3Problem list entriesWellness visitsHealth recordsEHR phenotypesInternational ClassificationICD-10Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism
Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.Peer-Reviewed Original ResearchDischarge codesInternational ClassificationICD-10Yale New Haven Health SystemPositive predictive valueMass General Brigham hospitalsAccuracy of ICD-10ICD-10 codesPulmonary embolismHealth systemImage codingElectronic databasesF1 scorePre-specified protocolExcellent positive predictive valueIndependent physiciansHighest F1 scoreIdentification of pulmonary embolismAcute pulmonary embolismSecondary codePE codesScoresIdentified PERevised algorithmCharacteristics of men and women with medically diagnosed cluster headache in a national integrated healthcare system: A Veterans Health Administration cohort study
Seng E, Burish M, Fenton B, Schindler E, Zhou B, Phadke M, Skanderson M, Best R, Lipton R, Sico J. Characteristics of men and women with medically diagnosed cluster headache in a national integrated healthcare system: A Veterans Health Administration cohort study. Headache The Journal Of Head And Face Pain 2024, 64: 1273-1284. PMID: 39400858, DOI: 10.1111/head.14842.Peer-Reviewed Original ResearchVeterans Health AdministrationElectronic health recordsEHR dataHealthcare systemInternational Classification of Diseases (ICD)-9Integrated healthcare systemNational integrated healthcare systemFiscal yearHospital-based systemClinic-based studyProportion of womenCompared to menLongitudinal cohort of patientsIndividual medical recordsRates of suicidal ideationCH diagnosisStratified prevalenceHealth recordsTobacco useMental healthHealth AdministrationPain diagnosisInternational ClassificationPeriod prevalenceOutpatient visitsImplications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms
Tan A, Gonçalves R, Yuan W, Brat G, Gentleman R, Kohane I, Masino A, Makoudjou A, Albayrak A, Gutiérrez-Sacristán A, Zambelli A, Malovini A, Carmona A, Hoffmann A, Gramfort A, Geva A, Blanco-Martínez A, Tan A, Terriza-Torres A, Spiridou A, Prunotto A, South A, Vallejos A, Atz A, Burgun A, Alloni A, Cattelan A, Jannot A, Neuraz A, Bellasi A, Maram A, Dagliati A, Sandrin A, Serret-Larmande A, Mensch A, Pfaff A, Batugo A, Krishnamurthy A, Adam A, Dionne A, Devkota B, Moal B, He B, Beaulieu-Jones B, Beaulieu-Jones B, Ostasiewski B, Aronow B, Tan B, Tan B, Torti C, Sáez C, Neto C, Sonday C, Caucheteux C, Mao C, Zucco C, Daniel C, Haverkamp C, Hong C, Bonzel C, Moraleda C, Leprovost D, Key D, Zöller D, Pillion D, Mowery D, Amendola D, Henderson D, Hanauer D, Taylor D, Wassermann D, Hazard D, Kraska D, Mazzotti D, Silvio D, Bell D, Murad D, Salamanca E, Bucholz E, Getzen E, Pfaff E, Schriver E, Toh E, Parimbelli E, Trecarichi E, Ashraf F, Vidorreta F, Bourgeois F, Sperotto F, Angoulvant F, Brat G, Varoquaux G, Omenn G, Agapito G, Albi G, Weber G, Verdy G, Lemaitre G, Roig-Domínguez G, Prokosch H, Zhang H, Estiri H, Krantz I, Kohane I, Honerlaw J, Cruz-Rojo J, Norman J, Balshi J, Cimino J, Aaron J, Santos J, Newburger J, Zahner J, Moore J, Marwaha J, Craig J, Klann J, Morris J, Obeid J, Vie J, Chen J, Son J, Zachariasse J, Booth J, Holmes J, Bernal-Sobrino J, Cruz-Bermúdez J, Leblanc J, Schuettler J, Dubiel J, Champ J, Olson K, Moshal K, Kernan K, Kirchoff K, Wagholikar K, Ngiam K, Cho K, Mandl K, Huling K, Chen K, Lynch K, Sanchez-Pinto L, Garmire L, Han L, Patel L, Waitman L, Lenert L, Anthony L, Esteve L, Chiudinelli L, Chiovato L, Scudeller L, Samayamuthu M, Martins M, Minicucci M, Menezes M, Vella M, Mazzitelli M, Savino M, Milano M, Okoshi M, Cannataro M, Alessiani M, Keller M, Hilka M, Wolkewitz M, Boeker M, Raskin M, Bucalo M, Hutch M, Bernaux M, Beraghi M, Morris M, Vitacca M, Pedrera-Jiménez M, Daniar M, Shah M, Liu M, Maripuri M, Kainth M, Yehya N, Santhanam N, Palmer N, Loh N, Sebire N, Romero-Garcia N, Brown N, Paris N, Griffon N, Gehlenborg N, Orlova N, García-Barrio N, Grisel O, Rojo P, Serrano-Balazote P, Sacchi P, Tippmann P, Martel P, Serre P, Avillach P, Azevedo P, Rubio-Mayo P, Schubert P, Guzzi P, Sliz P, Das P, Long Q, Ramoni R, Goh R, Badenes R, Bruno R, Kavuluru R, Bellazzi R, Issitt R, Follett R, Bradford R, Prudente R, Bey R, Griffier R, Duan R, Mahmood S, Mousavi S, Lozano-Zahonero S, Pizzimenti S, Maidlow S, Wong S, DuVall S, Cossin S, L'Yi S, Murphy S, Fan S, Visweswaran S, Rieg S, Bosari S, Makwana S, Bréant S, Bhatnagar S, Tanni S, Cormont S, Ahooyi T, Priya T, Naughton T, Ganslandt T, Colicchio T, Cai T, Gradinger T, González T, Zuccaro V, Tibollo V, Jouhet V, Quirós-González V, Panickan V, Benoit V, Njoroge W, Bryant W, Yuan W, Xiong X, Wang X, Ye Y, Luo Y, Ho Y, Strasser Z, Abad Z, Xia Z, Kate K, Hernández-Arango A, Schwamm E. Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms. JAMIA Open 2024, 7: ooae118. PMID: 39559493, PMCID: PMC11570992, DOI: 10.1093/jamiaopen/ooae118.Peer-Reviewed Original ResearchElectronic health recordsElectronic health record datasetInternational Classification of Diseases codesInternational Classification of DiseasesAlignment of ontologiesMedical Language SystemHuman Phenotype OntologyData annotationBiomedical entitiesUMLData integrationElectronic health record dataInternational ClassificationHuman Phenotype Ontology termsHealth recordsOntologyCodeAnnotated phenotypesClinical diagnosis codesClassification of DiseasesLanguage systemDatasetResearch ontologyMap coverageDiagnosis codesEvaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale
Taha M, Habib M, Lomachinsky V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale. BMJ Neurology Open 2024, 6: e000831. PMID: 39363950, PMCID: PMC11448239, DOI: 10.1136/bmjno-2024-000831.Peer-Reviewed Original ResearchPaul Coverdell National Acute Stroke ProgramNational Institutes of Health Stroke ScaleInternational Classification of DiseasesClassification of DiseasesHealth Stroke ScaleInternational ClassificationICD-10Acute ischaemic strokeStroke severityICD-10 diagnosis codesStroke ScaleNIHSS scoreMeasures of stroke severityMedicare claims dataIntraclass correlation coefficientNational Institutes of Health Stroke Scale scoreNational InstituteMedicaid Services guidelinesService guidelinesStroke programClinical registryDiagnosis codesClaims dataSampled patientsExpert clinical evaluationReliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency
Jahrami H, Husain W, Lin C, Björling G, Potenza M, Pakpour A. Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency. Addictive Behaviors Reports 2024, 20: 100563. PMID: 39282470, PMCID: PMC11399696, DOI: 10.1016/j.abrep.2024.100563.Peer-Reviewed Original ResearchInternal consistencyCronbach's alphaMeta-analysisPsychometric propertiesInternational Classification of DiseasesEvaluate internal consistencyExcellent internal consistencyClassification of DiseasesRisk of biasPublic health issueReliability generalization meta-analysisPsychometric reviewInternational ClassificationStudy qualityQualitative synthesisHealth issuesPre-registrationPsychometric testsGaming Disorder TestComprehensive searchDiverse populationsSample characteristicsPsychometric dataAnalyzed studiesGaming disorderThe Study of the Epidemiology of Pediatric Hypertension Registry (SUPERHERO): rationale and methods
South A, Giammattei V, Bagley K, Bakhoum C, Beasley W, Bily M, Biswas S, Bridges A, Byfield R, Campbell J, Chanchlani R, Chen A, McGowan L, Downs S, Fergeson G, Greenberg J, Hill-Horowitz T, Jensen E, Kallash M, Kamel M, Kiessling S, Kline D, Laisure J, Liu G, Londeree J, Lucas C, Mannemuddhu S, Mao K, Misurac J, Murphy M, Nugent J, Onugha E, Pudupakkam A, Redmond K, Riar S, Sethna C, Siddiqui S, Thumann A, Uss S, Vincent C, Viviano I, Walsh M, White B, Woroniecki R, Wu M, Yamaguchi I, Yun E, Weaver D. The Study of the Epidemiology of Pediatric Hypertension Registry (SUPERHERO): rationale and methods. American Journal Of Epidemiology 2024, 193: 1650-1661. PMID: 38881045, PMCID: PMC11637526, DOI: 10.1093/aje/kwae116.Peer-Reviewed Original ResearchManual record reviewHypertensive disordersRecord reviewElectronic health record dataICD-10Health record dataInternational Classification of Diseases diagnostic codesReduce CVD burdenPrevalence of hypertensionIncreased prevalence of hypertensionCardiovascular mortality ratesCVD burdenBlood pressureInternational ClassificationDiagnostic codesClinical careRecord dataInclusion criteriaLife courseIncreased prevalencePediatric hypertensionLong-term consequencesMortality rateEpidemiologyBiomedical informaticsA Nationwide Analysis on Major Upper Extremity Amputations and Replantations.
Stögner V, Hauc S, Hosseini H, Williams M, Boroumand S, Huelsboemer L, Kauke-Navarro M, Pomahac B, Colen D. A Nationwide Analysis on Major Upper Extremity Amputations and Replantations. Hand 2024, 15589447241259189. PMID: 38907654, PMCID: PMC11571424, DOI: 10.1177/15589447241259189.Peer-Reviewed Original ResearchUpper extremity amputationExtremity amputationTraumatic upper extremity amputationsUtilization Project's National Inpatient SampleProportion of amputationsUrban teaching hospitalLevel of injuryNational Inpatient SampleNontraumatic amputationsUnited StatesHospital typeLength of stayInternational ClassificationTraumatic amputationHealthcare costsHighest burdenUpper extremityAlcohol useTeaching hospitalInpatient SamplePool of casesAmputationNational trendsNationwide analysisLow likelihoodPerformance of the Elixhauser Comorbidity Index in Predicting Mortality Among a National US Sample of Hospitalized Homeless Adults
Tsai J, Kim Y. Performance of the Elixhauser Comorbidity Index in Predicting Mortality Among a National US Sample of Hospitalized Homeless Adults. Medical Care 2024, 62: 543-548. PMID: 38838297, DOI: 10.1097/mlr.0000000000002019.Peer-Reviewed Original ResearchConceptsElixhauser Comorbidity IndexIn-hospital mortalityBehavioral health conditionsHealth care databasesNational Inpatient Sample (NISComorbidity indexAlcohol-related disordersPredictors of hospital readmissionPredicting mortalityPrediction of in-hospital mortalityClinical Classifications Software Refined (CCSRCare databasePredicting in-hospital mortalitySummary scoreRevision Clinical ModificationNational US sampleClinical ModificationInternational ClassificationSample of inpatientsDiagnostic codesHealth conditionsHomeless adultsHospital readmissionCase-mixAcute myocardial infarctionSelf-injurious unnatural death among Veterans with HIV
Smith A, Goulet J, Vlahov D, Justice A, Womack J. Self-injurious unnatural death among Veterans with HIV. AIDS 2024, 38: 1570-1578. PMID: 38814683, DOI: 10.1097/qad.0000000000003940.Peer-Reviewed Original ResearchVeterans Aging Cohort StudyNested case-control studyModifiable risk factorsRisk of suicideCase-control studyRisk factorsIdentification of modifiable risk factorsCategorization of deathsIncidence density samplingAging Cohort StudyCohort of veteransIncreased risk of suicideConditional logistic regressionHigher pain levelsUse disorderPublic health burdenDrug use disordersUnnatural deathsDeath codesUnintentional causesInternational ClassificationHIV statusExcess deathsPrevention effortsAlcohol use disorderAnkle fracture open reduction and internal fixation in patients with cerebral palsy
Dhodapkar M, Yang A, Jiang W, Halperin S, Frumberg D, Grauer J. Ankle fracture open reduction and internal fixation in patients with cerebral palsy. Developmental Medicine & Child Neurology 2024, 66: 1496-1501. PMID: 38773804, DOI: 10.1111/dmcn.15958.Peer-Reviewed Original ResearchAnkle fracture ORIFCerebral palsyAnkle fracturesElixhauser Comorbidity IndexInternational Classification of Diseases (ICD)-9 and ICD-10Increased oddsIsolated ankle fracturesEmergency department visitsClosed ankle fracturesInternal fixationProlonged lengthMultivariate logistic regressionAnkle fracture open reductionProlonged length of stayDepartment visitsLength of stayInternational ClassificationAdverse eventsStudy of adult patientsFracture open reductionMinor adverse eventsICD-10Logistic regressionORAnklePerspectives on benefits and risks of creation of an “injection drug use” billing code
Sundaram G, Sato T, Goodman-Meza D, Haddad M, Thakarar K, Feinberg J, Springer S, Barton K, Butler N, Eaton E, Wurcel A. Perspectives on benefits and risks of creation of an “injection drug use” billing code. Journal Of Substance Use And Addiction Treatment 2024, 164: 209392. PMID: 38735482, DOI: 10.1016/j.josat.2024.209392.Peer-Reviewed Original ResearchInjection drug useSubstance use disordersInternational Classification of DiseasesIncreased riskICD-10 codesDrug useClassification of DiseasesHealthcare utilizationHealth servicesIncreased risk of overdoseFinancial reimbursementInternational ClassificationHealthcare systemRisk of overdoseTreatment servicesICD codesIdentifying peopleWell-beingPWIDUse disorderSystem of resource allocationHealthRiskImproved systemPotential benefitsMoving Beyond International Classification of Diseases Codes for the Retrospective Identification of Gender Diverse Veterans
DeVone F, Jutkowitz E, Halladay C, Kauth M, Cohen A, Tsai J. Moving Beyond International Classification of Diseases Codes for the Retrospective Identification of Gender Diverse Veterans. LGBT Health 2024, 12: 71-76. PMID: 38656904, DOI: 10.1089/lgbt.2023.0327.Peer-Reviewed Original ResearchSelf-reported gender identityGender identityVeterans Health AdministrationICD-10 codesSelf-reported genderTransgender careICD-10Health recordsInternational ClassificationDiverse veteransHealth needsInternational Classification of Diseases codesClassification of Diseases codesElectronic health recordsTGDIdentityGenderClinical encountersHealth AdministrationDiseases codesHealth conditionsSelf-reportVeteransTransgenderResults:</i></b>LGBQ-affirming clinical recommendations for compulsive sexual behavior disorder
Jennings T, Gleason N, Pachankis J, Bőthe B, Kraus S. LGBQ-affirming clinical recommendations for compulsive sexual behavior disorder. Journal Of Behavioral Addictions 2024, 13: 413-428. PMID: 38592797, PMCID: PMC11220820, DOI: 10.1556/2006.2024.00012.Peer-Reviewed Original ResearchCompulsive sexual behavior disorderMental health professionalsSexual behavior disorderBehavioral disordersMinority stress theoryHealth professionalsClinical recommendationsPreliminary clinical recommendationsMental health conditionsLGBQ clientsDevelopment of mental health conditionsTheoretical orientationTreatment recommendationsLGBQ populationInternational Classification of DiseasesPreliminary natureLGBQClassification of DiseasesEvidence-based principlesAssessment recommendationsDisordersStress theorySociocultural contextInternational ClassificationClientsEvaluating the Concordance Between International Classification of Diseases, Tenth Revision Code, and Stroke Severity as Measured by the National Institutes of Health Stroke Scale (P1-5.013)
Taha M, Habib M, Torres V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the Concordance Between International Classification of Diseases, Tenth Revision Code, and Stroke Severity as Measured by the National Institutes of Health Stroke Scale (P1-5.013). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206137.Peer-Reviewed Original Research
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