2025
Quality of life in HIV patients treated at a primary care clinic: a cross-sectional study in Tobago
Kumar R, Maharaj R, Bailey H, Khan R, Motilal S. Quality of life in HIV patients treated at a primary care clinic: a cross-sectional study in Tobago. Journal Of HIV/AIDS & Social Services 2025, ahead-of-print: 1-23. DOI: 10.1080/15381501.2025.2453811.Peer-Reviewed Original ResearchQuality of lifeHealth promotion clinicsPrimary care clinicsWHOQOL-HIV BREFEQ-5D-3L instrumentEnhance social supportCross-sectional studyGender-sensitive interventionsCare clinicsSocial supportDetectable viral loadHigher incomeFemale sexAntiretroviral therapyHIV patientsOpportunistic infectionsClinical predictorsHIVViral loadNegative predictorClinicSexPLHIVAgeEuroQolPredictive and monitoring value of blood‐based biomarkers for apathy treatment in Alzheimer’s disease
Lanctôt K, Tumati S, Vieira D, Bawa K, Andreazza A, Scherer R, Rosenberg P, van Dyck C, Padala P, Brawman‐Mintzer O, Porsteinsson A, Lerner A, Craft S, Levey A, Burke W, Perin J, Shade D, Mintzer J, Herrmann N. Predictive and monitoring value of blood‐based biomarkers for apathy treatment in Alzheimer’s disease. Alzheimer's & Dementia 2025, 20: e095596. PMCID: PMC11712725, DOI: 10.1002/alz.095596.Peer-Reviewed Original ResearchTreatment responseBlood-based biomarkersBlood-based biomarkers of neurodegenerationNPI-aClinical predictorsAlzheimer's diseaseClinical predictors of responsePredictive value of biomarkersTumor necrosis factor-alphaOxidative stressNeurofilament lightAffecting treatment responsePredictors of responseNecrosis factor-alphaBiomarkers of neurodegenerationInterleukin (IL)-6Treatment response predictionMonths end pointAssociated with apathyValue of biomarkersNeuropsychiatric Inventory apathy subscalePresence of anxietyPeripheral inflammation
2024
Evaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration
Mosquera Orgueira A, Perez Encinas M, Pérez Míguez C, Crucitti D, Piñeiro Fiel M, Díaz Varela N, Mora E, Díaz-Beyá M, Montoro M, Pomares H, Ramos Ortega F, Tormo M, Jerez A, Nomdedeu J, de Miguel Sanchez C, Arenillas L, Carcel Corella P, Cedena Romero M, Xicoy B, Rivero M, Del Orbe Barreto R, Bewersdorf J, Stahl M, Stempel J, Kewan T, Zeidan A, Diez-Campelo M, Valcarcel D. Evaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration. Blood 2024, 144: 6683-6683. DOI: 10.1182/blood-2024-198114.Peer-Reviewed Original ResearchLeukemia-free survivalPredictors of OSMyelodysplastic syndromeOverall survivalIPSS-MC-indexFLT3-ITDPredictors of leukemia-free survivalRevised International Prognostic Scoring SystemPrognostication of myelodysplastic syndromesInternational Prognostic Scoring SystemPrognostic scoring systemCox regression analysisMolecular dataClinical trial designIPSS-RGenetic variabilityMLL-PTDRandom survival forestPrognostic landscapePrognostic significanceLaboratory parametersAffected prognosisClinical predictorsClinical indicesPharmacogenomics polygenic risk score: Ready or not for prime time?
Singh S, Stocco G, Theken K, Dickson A, Feng Q, Karnes J, Mosley J, Rouby N. Pharmacogenomics polygenic risk score: Ready or not for prime time? Clinical And Translational Science 2024, 17: e13893. PMID: 39078255, PMCID: PMC11287822, DOI: 10.1111/cts.13893.Peer-Reviewed Original ResearchConceptsGenome wide association studiesDisease-Associated VariantsPharmacogenetic phenotypesPharmacogenomic researchPolygenic risk scoresDisease geneticsGenomic dataAssociation studiesPhenotypic inconsistenciesPolygenic natureGenetic variantsGenetic associationStratified treatment approachDrug responseClinical decision toolPrecision medicineClinical predictorsPhenotypeClinical useClinical implementationTreatment approachesRisk scoreVariantsGenomePatient educationIndividualized prediction models in ADHD: a systematic review and meta-regression
Salazar de Pablo G, Iniesta R, Bellato A, Caye A, Dobrosavljevic M, Parlatini V, Garcia-Argibay M, Li L, Cabras A, Haider Ali M, Archer L, Meehan A, Suleiman H, Solmi M, Fusar-Poli P, Chang Z, Faraone S, Larsson H, Cortese S. Individualized prediction models in ADHD: a systematic review and meta-regression. Molecular Psychiatry 2024, 29: 3865-3873. PMID: 38783054, PMCID: PMC11609101, DOI: 10.1038/s41380-024-02606-5.Peer-Reviewed Original ResearchArea under the curvePrediction model Risk Of Bias ASsessment ToolRisk of biasClinical predictorsMeta-RegressionClinical practiceLow risk of biasStudy risk of biasSystematic reviewRisk of bias assessment toolHigh risk of biasBias assessment toolDiagnosis of ADHDTreatment of ADHDPrediction model RiskTreatment responseExternally validated modelsLow riskHigh riskImplementation researchCognitive predictorsStudy qualityADHDAssessment toolStudy riskContemporary Decongestion Strategies in Patients Hospitalized for Heart Failure A National Community-Based Cohort Study
Zheng J, Ambrosy A, Bhatt A, Collins S, Flint K, Fonarow G, Fudim M, Greene S, Lala A, Testani J, Varshney A, Wi R, Sandhu A. Contemporary Decongestion Strategies in Patients Hospitalized for Heart Failure A National Community-Based Cohort Study. JACC Heart Failure 2024, 12: 1381-1392. PMID: 38678466, DOI: 10.1016/j.jchf.2024.04.002.Peer-Reviewed Original ResearchPredictors of weight lossHeart failureWeight lossHF hospitalizationPatient-level electronic health record dataCommunity-based health systemAssociated with less weight lossContinuous diuretic infusionsElectronic health record dataCommunity-based cohort studyAssociated with greater weight lossHealth record dataGreater weight lossBackground Heart failureEstimated weight lossLess weight lossAdjunctive diureticsDiuretic infusionAcute HFSerum creatinineClinical predictorsDecongestion strategiesAdmission weightStudy cohortDischarge weightAnterior cervical decompression and fusion at one and two levels: trends and factors associated with structural allograft versus synthetic cages
Kim L, Grauer J. Anterior cervical decompression and fusion at one and two levels: trends and factors associated with structural allograft versus synthetic cages. North American Spine Society Journal (NASSJ) 2024, 17: 100310. PMID: 38390524, PMCID: PMC10882181, DOI: 10.1016/j.xnsj.2024.100310.Peer-Reviewed Original ResearchCage useAnterior cervical decompressionAnterior cervical discectomyStructural allograftSynthetic cageLevel ACDFCervical decompressionACDF casesCervical discectomyClinical predictorsAdult patientsClinical factorsACDFAnterior plateFemale sexImplant choiceMultivariate analysisAllograftProvider specialtyCare algorithmOlder ageDecompressionNon-clinicalDispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-age women: Results from group-based trajectory modeling
Ishiwata R, AlAshqar A, Miyashita-Ishiwata M, Borahay M. Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-age women: Results from group-based trajectory modeling. Women's Health 2024, 20: 17455057241272218. PMID: 39165003, PMCID: PMC11339748, DOI: 10.1177/17455057241272218.Peer-Reviewed Original ResearchConceptsGroup-based-trajectory modellingBenign hysterectomyReproductive-age womenUterine fibroidsAA medicationsTime of hysterectomyPatterns of antidepressantsPsychiatric disordersDispensing patternsCo-existing psychiatric diagnosisStudy periodStudy of womenClusters of patientsPelvic painAbnormal bleedingDiscontinuation ratesClinical predictorsHysterectomyGynecological symptomsGynecological disordersTrajectory groupsPerioperative periodAntidepressantsInclusion criteriaAnxiety disorders
2023
Guidelines for Neuroprognostication in Critically Ill Adults with Intracerebral Hemorrhage
Hwang D, Kim K, Muehlschlegel S, Wartenberg K, Rajajee V, Alexander S, Busl K, Creutzfeldt C, Fontaine G, Hocker S, Madzar D, Mahanes D, Mainali S, Sakowitz O, Varelas P, Weimar C, Westermaier T, Meixensberger J. Guidelines for Neuroprognostication in Critically Ill Adults with Intracerebral Hemorrhage. Neurocritical Care 2023, 40: 395-414. PMID: 37923968, PMCID: PMC10959839, DOI: 10.1007/s12028-023-01854-7.Peer-Reviewed Original ResearchClinical grading scaleClinical variablesGrading scaleRecommendations AssessmentPoor outcomeIntensive care unit admissionCandidate clinical variablesCritically Ill AdultsIndividual clinical variablesMajor clinical predictorsCare unit admissionCounseling of patientsBest practice statementsJudgment of prognosisNarrative systematic reviewConclusionsThese guidelinesUnit admissionNeurological recoveryClinical predictorsIll adultsCounseling patientsIntracerebral hemorrhageFunctional outcomeConsensus statementNeuroprognosticationMore problems, more money: Identifying and predicting high-cost rescue after colorectal surgery
Leeds I, Moore M, Schultz K, Canner J, Pantel H, Mongiu A, Reddy V, Schneider E. More problems, more money: Identifying and predicting high-cost rescue after colorectal surgery. Surgery Open Science 2023, 16: 148-154. PMID: 38026825, PMCID: PMC10656212, DOI: 10.1016/j.sopen.2023.10.007.Peer-Reviewed Original ResearchColorectal surgeryElective surgeryMedian total inpatient costsAdditional major proceduresElective colorectal surgeryPreoperative clinical predictorsCongestive heart failureGreater healthcare utilizationMultivariable Poisson regressionNational Inpatient SampleTotal inpatient costsElective colectomyCost-conscious careAdult patientsUneventful recoveryClinical predictorsHeart failureHealthcare utilizationInpatient costsSecondary proceduresInpatient SampleHealthcare costsMedian increaseSurgeryPatientsRadiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers
Haider S, Qureshi A, Jain A, Tharmaseelan H, Berson E, Zeevi T, Werring D, Gross M, Mak A, Malhotra A, Sansing L, Falcone G, Sheth K, Payabvash S. Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers. Frontiers In Neuroscience 2023, 17: 1225342. PMID: 37655013, PMCID: PMC10467422, DOI: 10.3389/fnins.2023.1225342.Peer-Reviewed Original ResearchIndependent validation cohortIntracerebral hemorrhageRadiomic featuresValidation cohortClinical variablesHematoma expansionSpontaneous supratentorial intracerebral hemorrhageNon-contrast head CTSupratentorial intracerebral hemorrhageTomography (CT) of patientsNon-contrast headFuture clinical trialsNon-contrast CTIntracerebral Hemorrhage ExpansionHigh predictive valueBAT scoreHypertensive patientsClinical predictorsPrognostic relevanceFunctional outcomeClinical trialsHead CTHemorrhage expansionClinical trial datasetDiscovery cohortHeterogeneity of Response to Methylphenidate in Apathetic Patients in the ADMET 2 Trial
Lanctôt K, Rivet L, Tumati S, Perin J, Sankhe K, Vieira D, Mintzer J, Rosenberg P, Shade D, Lerner A, Padala P, Brawman-Mintzer O, van Dyck C, Porsteinsson A, Craft S, Levey A, Padala K, Herrmann N. Heterogeneity of Response to Methylphenidate in Apathetic Patients in the ADMET 2 Trial. American Journal Of Geriatric Psychiatry 2023, 31: 1077-1087. PMID: 37385898, PMCID: PMC10765607, DOI: 10.1016/j.jagp.2023.06.002.Peer-Reviewed Original ResearchConceptsDiastolic blood pressureBlood pressureClinical predictorsDisease patientsAlzheimer's Disease Cooperative Study-ActivitiesHg diastolic blood pressureOptimal diastolic blood pressureMulti-center clinical trialDaily Living ScaleYears of ageAlzheimer's disease patientsHeterogeneity of responseApathy domainApathetic patientsClinical trialsFunctional impairmentTreatment benefitSignificant apathyLiving ScaleImpaired functionBaseline anxietyCholinesterase inhibitorsMedium effect sizeMethylphenidatePotential predictorsA Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage
Myserlis E, Georgakis M, Demel S, Sekar P, Chung J, Malik R, Hyacinth H, Comeau M, Falcone G, Langefeld C, Rosand J, Woo D, Anderson C. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023, 54: 973-982. PMID: 36799223, PMCID: PMC10050100, DOI: 10.1161/strokeaha.122.041701.Peer-Reviewed Original ResearchConceptsClinical risk factorsIncident intracerebral hemorrhageIntracerebral hemorrhageHigh-risk populationRisk factorsGenomic risk scoresRisk scoreHigher oddsHigh riskRisk factor-adjusted modelsStandard clinical risk factorsVascular risk factorsLobar intracerebral hemorrhageLow-risk populationNonlobar intracerebral hemorrhageUse of anticoagulantsPopulation-based UK Biobank cohortUK Biobank cohortEuropean ancestryAntithrombotic treatmentClinical predictorsSD incrementMedication usersLifetime riskMetaGRS
2022
Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain
Buta E, Gordon KS, Gueorguieva R, Becker WC, Heapy A, Bathulapalli H, Zeng Q, Redd D, Brandt C, Goulet J. Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain. Pharmacoepidemiology And Drug Safety 2022, 31: 1262-1271. PMID: 35996825, DOI: 10.1002/pds.5531.Peer-Reviewed Original ResearchConceptsBack painOpioid prescriptionsPain/Pain intensityRetrospective cohort studyTrajectories of painElectronic health record dataMental health diagnosesHealth record dataHigh opioidCohort studyClinical predictorsHigher oddsPainLatent class growth analysisOpioidsPain classesHealth diagnosisRecord dataVeteransLongitudinal trajectoriesPrescriptionOddsTrajectory classesDistinct patternsClinical predictors of longer survival in patients with BRAFV600-mutated metastatic melanoma receiving immunotherapy prior to BRAF/MEK inhibition in the metastatic setting.
Kahn A, Perry C, Etts K, Kluger H, Sznol M. Clinical predictors of longer survival in patients with BRAFV600-mutated metastatic melanoma receiving immunotherapy prior to BRAF/MEK inhibition in the metastatic setting. Journal Of Clinical Oncology 2022, 40: 9555-9555. DOI: 10.1200/jco.2022.40.16_suppl.9555.Peer-Reviewed Original ResearchBRAF/MEKiFirst-line immunotherapyBRAF/MEK inhibitionBRAF V600Metastatic melanomaLonger survivalAdverse eventsMedian durationMost patientsBone metastasesClinical predictorsDisease progressionMEK inhibitionAdvanced BRAF V600ECOG PS 0Median ECOG PSFirst-line settingKaplan-Meier methodMost common sitePredictors of survivalECOG PSMedian LDHData cutoffMetastatic settingMedian survival
2021
Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies
Yi Z, Salem F, Menon MC, Keung K, Xi C, Hultin S, Haroon Al Rasheed MR, Li L, Su F, Sun Z, Wei C, Huang W, Fredericks S, Lin Q, Banu K, Wong G, Rogers NM, Farouk S, Cravedi P, Shingde M, Smith RN, Rosales IA, O'Connell PJ, Colvin RB, Murphy B, Zhang W. Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies. Kidney International 2021, 101: 288-298. PMID: 34757124, PMCID: PMC10285669, DOI: 10.1016/j.kint.2021.09.028.Peer-Reviewed Original ResearchConceptsGraft lossTransplant biopsiesDamage scoreBanff scoresPathological lesionsOne-year graft lossPost-transplant graft lossGlomerular filtration rate declineIntermediate-risk groupKidney allograft failurePost-transplant biopsiesKidney transplant biopsiesMononuclear leukocyte infiltrationTissue compartmentsMononuclear leukocyte infiltrateProtocol biopsiesAllograft failureTransplant recipientsClinical predictorsTubular atrophyGraft damageRisk stratificationInterstitial fibrosisLeukocyte infiltrationLeukocyte infiltrateImpaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis.
Feher A, Boutagy NE, Oikonomou EK, Thorn S, Liu YH, Miller EJ, Sinusas AJ, Hinchcliff M. Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis. The Journal Of Rheumatology 2021, 48: 1574-1582. PMID: 34266986, PMCID: PMC10275580, DOI: 10.3899/jrheum.210040.Peer-Reviewed Original ResearchConceptsReduced Myocardial Flow ReserveMyocardial flow reserveRaynaud's phenomenonPrimary Raynaud's phenomenonSecondary Raynaud's phenomenonPatient controlsHealthy participantsFlow reservePositron Emission Tomography/Computed TomographyEmission Tomography/Computed TomographyTomography/Computed TomographyPositron emission tomography/Impaired Myocardial Flow ReserveCoronary microvascular dysfunctionLarge prospective studiesMultivariable logistic regressionEmission tomography/PET/CTSSc-RPMicrovascular dysfunctionClinical predictorsIndependent predictorsSystemic sclerosisPrognostic valueProspective studyAcute on chronic severe aortic insufficiency due to rheumatoid arthritis-associated valvulitis.
Ivy K, Egbuche O, Gill S, Mezue K, Nwokike S, Ram P, Abe T, Onuorah I, Echols M. Acute on chronic severe aortic insufficiency due to rheumatoid arthritis-associated valvulitis. Am J Cardiovasc Dis 2021, 11: 404-409. PMID: 34322311, PMCID: PMC8303038.Peer-Reviewed Original ResearchAcute heart failureAortic insufficiencyLeaflet destructionChronic severe aortic insufficiencyCases of acute heart failureAortic valve destructionProgressive aortic insufficiencySymptomatic aortic insufficiencyAortic valve involvementRheumatoid arthritisSevere aortic insufficiencyComplication of rheumatoid arthritisPersistent systemic inflammationPersistent chronic inflammationSevere valvular regurgitationInflammation of RAValve involvementValve destructionValve replacementClinical presentationLeaflet fibrosisClinical predictorsRare caseDegree of severityAortic valvePredictive Significance of Serum Interferon‐Inducible Protein Score for Response to Treatment in Systemic Sclerosis–Related Interstitial Lung Disease
Assassi S, Li N, Volkmann ER, Mayes MD, Rünger D, Ying J, Roth MD, Hinchcliff M, Khanna D, Frech T, Clements PJ, Furst DE, Goldin J, Bernstein EJ, Castelino FV, Domsic RT, Gordon JK, Hant FN, Shah AA, Shanmugam VK, Steen VD, Elashoff RM, Tashkin DP. Predictive Significance of Serum Interferon‐Inducible Protein Score for Response to Treatment in Systemic Sclerosis–Related Interstitial Lung Disease. Arthritis & Rheumatology 2021, 73: 1005-1013. PMID: 33350170, PMCID: PMC8169525, DOI: 10.1002/art.41627.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedbeta 2-MicroglobulinChemokine CCL19Chemokine CCL8Chemokine CXCL10Chemokine CXCL9CyclophosphamideFemaleHumansImmunosuppressive AgentsLung Diseases, InterstitialMaleMethotrexateMiddle AgedMycophenolic AcidObservational Studies as TopicPrognosisRandomized Controlled Trials as TopicReceptors, Tumor Necrosis Factor, Type IIScleroderma, SystemicVital CapacityConceptsInterstitial lung diseaseMycophenolate mofetilPredictive significanceCYC armILD courseMMF armSSc-ILDSystemic sclerosisLung diseaseHigh baseline C-reactive protein levelsTumor necrosis factor receptor type IIBaseline C-reactive protein levelsScleroderma Lung Study IIC-reactive protein levelsGood responseVital capacity percentChemotactic protein-2Receptor type IIActive immunosuppressionClinical predictorsCRP levelsObservational cohortProtein scoreActive treatmentTreatment armsPredictors of Time-in-Range (70–180 mg/dL) Achieved Using a Closed-Loop Control System
Schoelwer MJ, Kanapka LG, Wadwa RP, Breton MD, Ruedy KJ, Ekhlaspour L, Forlenza GP, Cobry EC, Messer LH, Cengiz E, Jost E, Carria L, Emory E, Hsu LJ, Weinzimer SA, Buckingham BA, Lal RA, Oliveri MC, Kollman CC, Dokken BB, Cherñavvsky DR, Beck RW, DeBoer MD, Gonder-Frederick L, Robic J, Voelmle M, Conschafter K, Morris K, Barnett C, Carr K, Hellmann J, Kime M, Todd Alonso G, Slover R, Berget C, Towers L, Lange S, Buckingham B, Maahs D, Lal R, Ekhlaspour L, Norlander L, Hood K, Town M, Weir C, Smith K, Hsu L, Shinksy D, Viana J, Cengiz E, Weinzimer S, Weyman K, Carria L, Zgorski M, Ruedy K, Beck R, Borgman S, Rusnak J, Kanapka L, Kollman C, Murphy C, Arreza-Rubin G, Green N, Kovatchev B, Brown S, Anderson S, Breton M, Laffel L, Pinsker J, Levy C, Kudva Y, Wadwa R, Buckingham B, Doyle III F, Renard E, Cobelli C, Reznik Y, Arreza-Rubin G, Lum J, Beck R, Ruedy K, Janicek R, Gabrielson D. Predictors of Time-in-Range (70–180 mg/dL) Achieved Using a Closed-Loop Control System. Diabetes Technology & Therapeutics 2021, 23: 475-481. PMID: 33689454, PMCID: PMC8252894, DOI: 10.1089/dia.2020.0646.Peer-Reviewed Original ResearchConceptsGlycemic controlLower TIROptimal glycemic controlType 1 diabetesPredictors of timeGreater improvementClinical characteristicsClinical predictorsFourth quartileMore insulinBody weightGlucose monitor dataExtension phaseMultivariate modelBolusStrongest predictorContinuous glucose monitor dataQuartileInsulinPredictorsChildrenParticipantsT1D.T1DDiabetes
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