2025
Volumetric Abdominal Aortic Aneurysm Analysis in Post EVAR Surveillance Settings
Simmons K, Weiss D, Aboian M, Lin M, Bousabarah K, Renninghoff D, Holler W, Deuschl C, Fischer U, Aboian E. Volumetric Abdominal Aortic Aneurysm Analysis in Post EVAR Surveillance Settings. Annals Of Vascular Surgery 2025, 114: 241-250. PMID: 40049548, DOI: 10.1016/j.avsg.2025.02.009.Peer-Reviewed Original ResearchAbdominal aortic aneurysmEndovascular aortic repairEarly detection of abdominal aortic aneurysmsDetection of abdominal aortic aneurysmsLong-term follow-up dataAneurysm-related mortalityVolumetric analysisAneurysm sac enlargementAssociated with older ageSubgroup of patientsFollow-up dataHigh-risk aneurysmsMaximum diameter measurementsAortic repairSac enlargementAAA enlargementCT angiogramMetformin therapyPatient cohortAortic aneurysmClinical factorsUnivariate analysisClinical variablesAneurysm volumeMedical records
2024
Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)
Dierksen F, Sommer J, Tran A, Lin H, Haider S, Maier I, Aneja S, Sanelli P, Malhotra A, Qureshi A, Claassen J, Park S, Murthy S, Falcone G, Sheth K, Payabvash S. Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics 2024, 14: 2827. PMID: 39767188, PMCID: PMC11674633, DOI: 10.3390/diagnostics14242827.Peer-Reviewed Original ResearchIntegrated discrimination indexNet reclassification indexPerihematomal edemaHead computed tomographyIntracerebral hemorrhageComputed tomographyClinical variablesClinical predictors of poor outcomeOutcome predictionAcute supratentorial intracerebral hemorrhageAdmission head computed tomographyRadiomic featuresNon-contrast head computed tomographyPredictors of poor outcomeModified Rankin Scale scoreIntracerebral hemorrhage scoreSupratentorial intracerebral hemorrhageIntracerebral hemorrhage patientsClinical risk factorsRankin Scale scoreReceiver operating characteristic areaOperating characteristics areaSecondary brain injuryHematoma evacuationPatient selectionSubtyping strokes using blood‐based protein biomarkers: A high‐throughput proteomics and machine learning approach
Misra S, Singh P, Sengupta S, Kushwaha M, Rahman Z, Bhalla D, Talwar P, Nath M, Chakraborty R, Kumar P, Kumar A, Aggarwal P, Srivastava A, Pandit A, Mohania D, Prasad K, Mishra N, Vibha D. Subtyping strokes using blood‐based protein biomarkers: A high‐throughput proteomics and machine learning approach. European Journal Of Clinical Investigation 2024, 55: e14372. PMID: 39655799, DOI: 10.1111/eci.14372.Peer-Reviewed Original ResearchHigh-throughput proteomicsExpressed proteinsSWATH-MSInteraction networkPathway analysisProteomicsProtein biomarkersBlood-based protein biomarkersIntracerebral haemorrhageDifferentiate ISIschemic strokeProteinApo C1Clinical variablesDiscovery phaseMMP-9Multivariate logistic regression analysisLogistic regression analysisCut-off pointCytoscapePreoperative Multivariable Model for Risk Stratification of Hypoxemia During One-Lung Ventilation.
Zorrilla-Vaca A, Grant M, Mendez-Pino L, Rehman M, Sarin P, Nasra S, Varelmann D. Preoperative Multivariable Model for Risk Stratification of Hypoxemia During One-Lung Ventilation. Anesthesia & Analgesia 2024 PMID: 39773746, DOI: 10.1213/ane.0000000000007306.Peer-Reviewed Original ResearchOne-lung ventilationArea under the receiver operating curveRisk of hypoxemiaIntraoperative hypoxemiaRisk stratificationClinical variablesRisk of intraoperative hypoxemiaEpisodes of oxygen desaturationBody mass index >Preoperative clinical variablesStratification modelLung perfusion scanElective lung surgeryLateral decubitus positionPositive predictive valueRetrospective cohort studyCongestive heart failureHighest Youden indexPreoperative multivariable modelLogistic regressionRisk stratification modelRight-sided surgeryMultivariate logistic regressionIncidence of hypoxemiaDouble lumen tubeMolecular characteristics of advanced colorectal cancer and multi-hit PIK3CA mutations
Yasin F, Sokol E, Vasan N, Pavlick D, Huang R, Pelletier M, Levy M, Pusztai L, Lacy J, Zhang J, Ross J, Cecchini M. Molecular characteristics of advanced colorectal cancer and multi-hit PIK3CA mutations. The Oncologist 2024, 29: 1059-1067. PMID: 39401325, PMCID: PMC11630746, DOI: 10.1093/oncolo/oyae259.Peer-Reviewed Original ResearchAdvanced colorectal cancerPIK3CA mutationsColorectal cancerPI3K inhibitionPI3K inhibitorsBurden of colorectal cancerActivating mutationsResponse to PI3K inhibitionSensitive to PI3K inhibition.Foundation Medicine databaseMetastatic colorectal cancerClinically relevant mutationsMicrosatellite instability-highPI3K signalingTumor DNAPIK3CA variantsClinical carePIK3CA oncogeneClinical variablesE545KGenomic profilingPIK3CAE542KMedicine DatabasePatientsAssociation of Hepatorenal Syndrome-Acute Kidney Injury with Mortality in Patients with Cirrhosis Requiring Renal Replacement Therapy
Cama-Olivares A, Ouyang T, Takeuchi T, St. Hillien S, Robinson J, Chung R, Cullaro G, Karvellas C, Levitsky J, Orman E, Patidar K, Regner K, Saly D, Sawinski D, Sharma P, Teixeira J, Ufere N, Velez J, Wadei H, Wahid N, Allegretti A, Neyra J, Belcher J, Cama-Olivares A, Ouyang T, Takeuchi T, St. Hillien S, Robinson J, Chung R, Cullaro G, Karvellas C, Levitsky J, Orman E, Patidar K, Regner K, Saly D, Sawinski D, Sharma P, Teixeira J, Ufere N, Velez J, Wadei H, Wahid N, Allegretti A, Neyra J, Belcher J. Association of Hepatorenal Syndrome-Acute Kidney Injury with Mortality in Patients with Cirrhosis Requiring Renal Replacement Therapy. Kidney360 2024, 6: 247-256. PMID: 39348201, PMCID: PMC11882256, DOI: 10.34067/kid.0000000589.Peer-Reviewed Original ResearchEtiology of AKIHRS-AKIAKI-RRTRenal replacement therapyContinuous RRTIntermittent hemodialysisAdult patientsHospitalized patientsAKI etiologyReplacement therapyAssociated with increased 90-day mortalityMulticenter retrospective cohort studyNon-HRS-AKIAssociated with increased mortalityConsecutive adult patientsRetrospective cohort studyHospital network systemHepatorenal syndromeContemporary cohortInpatient populationMechanical ventilationRRT modalityCohort studyClinical variablesPrimary outcomeCT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy
Xia Y, Zhou J, Xun X, Zhang J, Wei T, Gao R, Reddy B, Liu C, Kim G, Yu Z. CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy. Insights Into Imaging 2024, 15: 214. PMID: 39186192, PMCID: PMC11347550, DOI: 10.1186/s13244-024-01784-8.Peer-Reviewed Original ResearchConvolutional-recurrent neural networkAdvanced hepatocellular carcinomaSpatial-temporal informationHepatocellular carcinomaCT scanOverall survival predictionRECIST criteriaClinical variablesPatients treated with immunotherapyExtract spatial-temporal informationFollow-up CT imagesPrognostic modelAdvanced HCC patientsRisk group stratificationDeep learning-based modelTest setDisease statusMethodsThis retrospective studyLog-rank testMultimodal deep learningMulti-modal inputsSurvival predictionDeep learning modelsAnalysis of CT scansPatient's disease statusThe Role of Angiopoietins in Cardiovascular Outcomes of Kidney Transplant Recipients: An Ancillary Study from the FAVORIT
Gendy N, Brown L, Staunton M, Garg K, Hernandez Garcilazo N, Qian L, Yamamoto Y, Ugwuowo U, Obeid W, Al-Qusairi L, Bostom A, Mansour S. The Role of Angiopoietins in Cardiovascular Outcomes of Kidney Transplant Recipients: An Ancillary Study from the FAVORIT. American Journal Of Nephrology 2024, 55: 597-606. PMID: 38735283, PMCID: PMC11444892, DOI: 10.1159/000538878.Peer-Reviewed Original ResearchKidney transplant recipientsRisk of cardiovascular diseaseGraft failureCardiovascular disease developmentAngpt-2Cardiovascular diseaseIncreased risk of future CVDAncillary studiesClinical variablesCare of kidney transplant recipientsIncreased riskRisk of future CVDUrine albumin-to-creatinine ratioDonor kidney transplant recipientsAlbumin-to-creatinine ratioIncreased risk of cardiovascular diseaseFuture cardiovascular diseaseImproves prediction of cardiovascular diseaseTransplant-related variablesAssociated with outcomeParticipants' median ageMitigate CVD riskMedian ageTransplant recipientsMedian timePrognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms
Misra S, Kawamura Y, Singh P, Sengupta S, Nath M, Rahman Z, Kumar P, Kumar A, Aggarwal P, Srivastava A, Pandit A, Mohania D, Prasad K, Mishra N, Vibha D. Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms. PLOS ONE 2024, 19: e0296616. PMID: 38829877, PMCID: PMC11146689, DOI: 10.1371/journal.pone.0296616.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhagePoor outcomePrognostic biomarker of ICHBiomarker of intracerebral hemorrhageHazard ratioOdds ratioShort-term poor outcomePrognostic of patient outcomeMMP-2Multivariate Cox regression modelICH prognosisInternal validation of prediction modelsModified Rankin Scale scoreIntracerebral hemorrhage patientsRankin Scale scoreUCH-L1Confidence intervalsCox regression modelsMultivariate logistic regressionProtein biomarkersIGFBP-3Regression modelsPrognostic outcomesSerum biomarkersClinical variablesUltrasound-guided Axillary Artery Catheter Placement and Associated Complications in Critically Ill Patients
Cardona S, Gross A, Yu A, Bassily-Marcus A, Oropello J, Manasia A. Ultrasound-guided Axillary Artery Catheter Placement and Associated Complications in Critically Ill Patients. Journal Of Intensive Care Medicine 2024, 39: 916-921. PMID: 38794858, DOI: 10.1177/08850666241257417.Peer-Reviewed Original ResearchConceptsArtery catheter placementCritically ill patientsCatheter placementBody mass indexCatheter malfunctionArtery catheterVascular complicationsIll patientsMedian body mass indexCenter of patientsCatheter related complicationsRate of complicationsTertiary care centerIntensive care unitFemoral artery accessMedian ageAssociated complicationsRelated complicationsRetrospective studySurgical interventionCompartment syndromeUnivariate analysisMultiple cathetersMass indexClinical variablesImmunotherapy utilization patterns in patients with advanced cancer and autoimmune disease
Li H, Huntington S, Gross C, Wang S. Immunotherapy utilization patterns in patients with advanced cancer and autoimmune disease. PLOS ONE 2024, 19: e0300789. PMID: 38625861, PMCID: PMC11020359, DOI: 10.1371/journal.pone.0300789.Peer-Reviewed Original ResearchConceptsAutoimmune diseasesImmunotherapy cycleFirst-lineNon-small cell lung cancerAdvanced cancerFirst-line immunotherapyOverall treatment toleranceCell lung cancerRenal cell carcinomaRetrospective cohort studyAssociated with lower oddsAdvanced melanomaCell carcinomaTreatment toleranceAbsolute contraindicationImmunotherapyConsensus guidelinesImprove cancer survivalLung cancerCohort studyClinical variablesCancer patientsAcademic centersPatientsIncidence rateSoft phenotyping for sepsis via EHR time-aware soft clustering
Jiang S, Gai X, Treggiari M, Stead W, Zhao Y, Page C, Zhang A. Soft phenotyping for sepsis via EHR time-aware soft clustering. Journal Of Biomedical Informatics 2024, 152: 104615. PMID: 38423266, PMCID: PMC11073833, DOI: 10.1016/j.jbi.2024.104615.Peer-Reviewed Original ResearchElectronic health recordsRecovery trajectoriesSub-phenotypesHealth recordsClustering algorithmTiming of interventionLogistic regressionCondition associated with high mortalitySoft clustering algorithmDisease sub-phenotypesSepsis prediction modelSoft clusteringClinical variablesOptimal timing of interventionTemporal informationMedical plausibilityHigher mortalityClustering procedureAccurate informationOrgan dysfunctionAlgorithmDysregulated immune response to infectionInterventionHospitalSepsis-related organ dysfunctionGuidelines for Neuroprognostication in Critically Ill Adults with Moderate–Severe Traumatic Brain Injury
Muehlschlegel S, Rajajee V, Wartenberg K, Alexander S, Busl K, Creutzfeldt C, Fontaine G, Hocker S, Hwang D, Kim K, Madzar D, Mahanes D, Mainali S, Meixensberger J, Sakowitz O, Varelas P, Weimar C, Westermaier T. Guidelines for Neuroprognostication in Critically Ill Adults with Moderate–Severe Traumatic Brain Injury. Neurocritical Care 2024, 40: 448-476. PMID: 38366277, PMCID: PMC10959796, DOI: 10.1007/s12028-023-01902-2.Peer-Reviewed Original ResearchTraumatic brain injuryBrain injuryFunctional outcomesSurrogate decision-makersSurrogates of patientsSystematic narrative reviewIMPACT lab modelQuality of evidenceClinical variablesDesirability of outcomesClinically relevant predictorsCritically ill adultsRecommendations AssessmentComfort measuresIn-hospital mortalityConclusionsThese guidelinesMsTBIEligibility criteriaPoor outcomeIll adultsPatient triagePractice recommendationsIndividual predictorsInternational Mission for PrognosisNarrative reviewUsing clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank
Hu J, Ye Y, Zhou G, Zhao H. Using clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank. JNCI Cancer Spectrum 2024, 8: pkae008. PMID: 38366150, PMCID: PMC10919929, DOI: 10.1093/jncics/pkae008.Peer-Reviewed Original ResearchPolygenic risk scoresUK BiobankCancer riskClinical risk factorsRisk of breast cancerRisk factorsPolygenic risk score modelHigh risk of developing cancerRisk of developing cancerLate-onset patientsRisk predictionClinical variablesHigh-risk individualsCox proportional hazards modelsProportional hazards modelGenetic risk factorsBaseline traitsClinical risk modelRisk scoreEarly-onset patientsHazards modelLate-onset groupEarly-onset groupBreast cancerHigh riskMechanistically based blood proteomic markers in the TGF-β pathway stratify risk of hepatocellular cancer in patients with cirrhosis.
Xiang X, Bhowmick K, Shetty K, Ohshiro K, Yang X, Wong L, Yu H, Latham P, Satapathy S, Brennan C, Dima R, Chambwe N, Sharifova G, Cacaj F, John S, Crawford J, Huang H, Dasarathy S, Krainer A, He A, Amdur R, Mishra L. Mechanistically based blood proteomic markers in the TGF-β pathway stratify risk of hepatocellular cancer in patients with cirrhosis. Genes & Cancer 2024, 15: 1-14. PMID: 38323119, PMCID: PMC10843195, DOI: 10.18632/genesandcancer.234.Peer-Reviewed Original ResearchHepatocellular carcinomaPyruvate kinase M2TGF-bPresence of hepatocellular carcinomaEarly detection of HCCRisk of hepatocellular cancerDetection of hepatocellular carcinomaAdvanced incurable stageRisk-stratifying biomarkersTGF-B pathwayAssociated with hepatocellular carcinomaProteomic markersEarly detectionBiologically relevant markersIncurable stageBlood-based biomarkersHepatocellular cancerRisk stratificationStratify riskNon-HCCClinical variablesBlood levelsLiver diseaseAnimal modelsBiological roleState- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study
Chen Y, Zhao P, Pan C, Chang M, Zhang X, Duan J, Wei Y, Tang Y, Wang F. State- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study. Journal Of Psychiatry And Neuroscience 2024, 49: e11-e22. PMID: 38238036, PMCID: PMC10803102, DOI: 10.1503/jpn.230069.Peer-Reviewed Original ResearchConceptsDepressed BDBipolar disorderEuthymic BDMood statesManic BDDiffusion-tensor imagingHealthy controlsGenetic riskWhite matter networksGlobal efficiencyFrontolimbic circuitsCross-sectional natureStructural topological propertiesGraph theory approachSecondary analysisMedication effectsLocal network changesMoodLocal efficiencyClinical variablesEpisode countsNetwork changesDisordersStructural networkHigh-risk individualsExploring Predictors of Ketamine Response in Adolescent Treatment-Resistant Depression
Lineham A, Avila-Quintero V, Bloch M, Dwyer J. Exploring Predictors of Ketamine Response in Adolescent Treatment-Resistant Depression. Journal Of Child And Adolescent Psychopharmacology 2024, 34: 73-79. PMID: 38170185, PMCID: PMC11262580, DOI: 10.1089/cap.2023.0047.Peer-Reviewed Original ResearchDepression symptom improvementTreatment-resistant depressionChildren's Depression Rating ScaleReuptake inhibitor medicationsDepression Rating ScaleSymptom improvementAntidepressant responseInhibitor medicationKetamine responseAdolescent treatment-resistant depressionRapid-acting antidepressant agentsSelective serotonin reuptake inhibitor medicationsSerotonin reuptake inhibitor medicationsKetamine’s antidepressant responseCurrent depressive episodeSevere depressive symptomsGreater symptom improvementAttention-deficit/hyperactivity disorder diagnosisFuture therapeutic useAntidepressant medicationMedication trialsCrossover trialAntidepressant agentsClinical variablesDepressive episodeDifferences in Diagnostic Rules Used to Determine Borderline Personality Disorder Impact Prevalence and Associations with Clinically Relevant Variables: Findings from the National Epidemiologic Survey on Alcohol and Related Conditions-III
Loya J, Wagner A, Pittman B, Davis M. Differences in Diagnostic Rules Used to Determine Borderline Personality Disorder Impact Prevalence and Associations with Clinically Relevant Variables: Findings from the National Epidemiologic Survey on Alcohol and Related Conditions-III. Personality Disorders Theory Research And Treatment 2024, 15: 60-73. PMID: 38206863, PMCID: PMC10786338, DOI: 10.1037/per0000643.Peer-Reviewed Original ResearchConceptsBorderline personality disorderBorderline personality disorder diagnosisPrevalence of borderline personality disorderBorderline personality disorder statusClinically relevant variablesNational Epidemiologic SurveyRelated Conditions-IIIMental health conditionsGeneralizability of findingsPersonality disorderClinical interviewClinical variablesProblem behaviorsDisorder prevalenceConditions-IIIRelevant variablesMethodological differencesEpidemiological surveyDisordersBorderlineDiagnostic rulesPrevalence ratesU.S. adultsHealth consequencesHealth conditions
2023
Association of Maternal Age and Blood Markers for Metabolic Disease in Newborns
Xie Y, Peng G, Zhao H, Scharfe C. Association of Maternal Age and Blood Markers for Metabolic Disease in Newborns. Metabolites 2023, 14: 5. PMID: 38276295, PMCID: PMC10821442, DOI: 10.3390/metabo14010005.Peer-Reviewed Original ResearchMaternal ageAdvanced maternal ageBlood metabolic markersMaternal age groupsInborn metabolic disordersNeonatal outcomesSingleton infantsGestational ageClinical variablesMarker levelsBirth weightBlood levelsBlood markersRisk factorsAge-related differencesInfant sexMetabolic disordersMetabolic markersPotential confoundingMetabolic diseasesScreening markerAge groupsBlood collectionScreening panelHigh false positive rateClinical Predictors of Survival in Patients With BRAFV600-Mutated Metastatic Melanoma Treated With Combined BRAF and MEK Inhibitors After Immune Checkpoint Inhibitors
Kahn A, Perry C, Etts K, Kluger H, Sznol M. Clinical Predictors of Survival in Patients With BRAFV600-Mutated Metastatic Melanoma Treated With Combined BRAF and MEK Inhibitors After Immune Checkpoint Inhibitors. The Oncologist 2023, 29: e507-e513. PMID: 37971411, PMCID: PMC10994263, DOI: 10.1093/oncolo/oyad300.Peer-Reviewed Original ResearchBRAF/MEK inhibitorsBRAF/MEK inhibitionImmune checkpoint inhibitorsBRAFV600E/K mutationsMEK inhibitorsCheckpoint inhibitorsClinical variablesMEK inhibitionRetrospective single-institution analysisIpilimumab/nivolumabFirst-line settingFirst-line therapyFirst-line treatmentMetastatic melanoma patientsLong-term outcomesPretreatment clinical variablesSingle-institution analysisStratification of patientsK mutationCombined BRAFECOG PSMedian OSRECIST 1.1Immunotherapy regimenClinical characteristics
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