2022
Cardiometabolic profile of women with uterine leiomyoma: a cross-sectional study.
Alashqar A, El Ouweini H, Gornet M, Yenokyan G, Borahay MA. Cardiometabolic profile of women with uterine leiomyoma: a cross-sectional study. Minerva Obstetrics And Gynecology 2022, 75: 27-38. PMID: 35333033, DOI: 10.23736/s2724-606x.22.04952-1.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesCross-Sectional StudiesFemaleHumansLeiomyomaRisk FactorsUterine NeoplasmsConceptsCardiometabolic risk factorsCardiometabolic comorbiditiesCross-sectional studyUterine leiomyomaCardiometabolic profileMedication useRisk factorsJohns Hopkins Health SystemEpic electronic medical record systemUnfavorable cardiometabolic profileCardiovascular disease preventionPrevalence odds ratiosUterine leiomyoma developmentElectronic medical record systemAssociated medicationsLeiomyoma riskMedical record systemOnly medicationEssential hypertensionMetabolic syndromeHospital encountersPrescription medicationsEarly managementOdds ratioLeiomyoma diagnosis
2020
Impact of primary headache disorder on quality of life among school students in Kuwait
Al-Hashel JY, Alroughani R, Shuaibi S, AlAshqar A, AlHamdan F, AlThufairi H, Owayed S, Ahmed SF. Impact of primary headache disorder on quality of life among school students in Kuwait. The Journal Of Headache And Pain 2020, 21: 80. PMID: 32580704, PMCID: PMC7313161, DOI: 10.1186/s10194-020-01124-3.Peer-Reviewed Original ResearchConceptsMiddle school studentsSchool studentsAcademic achievementAcademic yearImpaired Participation (HARDSHIP) questionnaireStudentsHeadache-Attributed RestrictionParticipation QuestionnaireQuestionnaireSchoolsAchievementGenderDisabilityLifeQualityChildrenAdolescentsHandicapImpactCross-sectional studySocial handicapMethodsA cross-sectional studyAssociation of demographic, clinical, and hospital‐related factors with use of robotic hysterectomy for benign indications: A national database study
Smith AJB, AlAshqar A, Chaves KF, Borahay MA. Association of demographic, clinical, and hospital‐related factors with use of robotic hysterectomy for benign indications: A national database study. International Journal Of Medical Robotics And Computer Assisted Surgery 2020, 16: e2107. PMID: 32276286, PMCID: PMC9206512, DOI: 10.1002/rcs.2107.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesDemographyFemaleHospitalsHumansHysterectomyLaparoscopyRobotic Surgical ProceduresUnited StatesConceptsRobotic hysterectomyPatient factorsBenign indicationsHospital characteristicsGynecologic diagnosisHospital-level disparitiesHospital-related factorsNational database studyNational Inpatient SampleCross-sectional studyBenign hysterectomyInpatient SampleTeaching hospitalHysterectomyDatabase studyInpatient hysterectomyRobotic approachWomenHospitalDiagnosisAssociationIndicationsProfit hospitalsFactors