2025
Spike Ripples: Hidden Clues to the Mystery of the Epileptogenic Zone.
Quraishi I. Spike Ripples: Hidden Clues to the Mystery of the Epileptogenic Zone. Epilepsy Currents 2025, 15357597241306610. PMID: 39780979, PMCID: PMC11705290, DOI: 10.1177/15357597241306610.Peer-Reviewed Original ResearchSpike ripplesFast ripplesInterictal biomarkerSurgical resectionEpileptogenic zoneMulticentre cohortResection volumePersistent seizuresEpileptogenic tissueILA-1Ripple rateImproved biomarkersSubjective outcomesEpileptiform spikesProportion of spikesResectionSubdural electrodesBiomarkersEpileptogenicityHigh-frequency oscillationsOutcomesILASubjectsIntracranial electroencephalogramTissue
2024
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography
Tran A, Desser D, Zeevi T, Karam G, Zietz J, Dell’Orco A, Chen M, Malhotra A, Qureshi A, Murthy S, Majidi S, Falcone G, Sheth K, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences 2024, 15: 111. PMID: 40046237, PMCID: PMC11882137, DOI: 10.3390/app15010111.Peer-Reviewed Original ResearchIntracerebral hemorrhageHematoma expansionFollow-up CT scansFollow-up head computed tomographyPredictors of poor outcomeDeep learning classification modelFollow-up scansHead computed tomographyFalse-negative resultsHematoma segmentationAutomated segmentationMulticentre cohortCT scanValidation cohortPoor outcomeComputed tomographyFollow-upClassification modelOptimizational methodHematomaAnnotationFaecal proteomics links neutrophil degranulation with mortality in patients with alcohol-associated hepatitis
Kreimeyer H, Gonzalez C, Fondevila M, Hsu C, Hartmann P, Zhang X, Stärkel P, Bosques-Padilla F, Verna E, Abraldes J, Brown R, Vargas V, Altamirano J, Caballería J, Shawcross D, Louvet A, Lucey M, Mathurin P, Garcia-Tsao G, Bataller R, Investigators A, Gonzalez D, Schnabl B. Faecal proteomics links neutrophil degranulation with mortality in patients with alcohol-associated hepatitis. Gut 2024, 74: 103-115. PMID: 39033024, PMCID: PMC11631684, DOI: 10.1136/gutjnl-2024-332730.Peer-Reviewed Original ResearchAlcohol-associated hepatitisShort-term survivalMulticentre cohortSeverity of ALDAlcohol-associated liver diseaseIndependent validation cohortInduce gut dysbiosisNon-invasive markerAlcohol-use disordersNeutrophil degranulationPrediction of short-term survivalPrognostic effectHepatic neutrophilsValidation cohortBacterial translocationNeutrophil granulesMPO levelsLiver diseaseFecal biomarkersTandem mass tagPatientsGut dysbiosisLiver damageDisease severityNeutrophils
2019
Open Versus Robotic Cystectomy: A Propensity Score Matched Analysis Comparing Survival Outcomes
Moschini M, Zamboni S, Soria F, Mathieu R, Xylinas E, Tan W, Kelly J, Simone G, Meraney A, Krishna S, Konety B, Mattei A, Baumeister P, Mordasini L, Montorsi F, Briganti A, Gallina A, Stabile A, Sanchez-Salas R, Cathelineau X, Rink M, Necchi A, Karakiewicz P, Rouprêt M, Koupparis A, Kassouf W, Scherr D, Ploussard G, Boorjian S, Lotan Y, Sooriakumaran P, Shariat S. Open Versus Robotic Cystectomy: A Propensity Score Matched Analysis Comparing Survival Outcomes. Journal Of Clinical Medicine 2019, 8: 1192. PMID: 31395826, PMCID: PMC6722857, DOI: 10.3390/jcm8081192.Peer-Reviewed Original ResearchRobot-assisted radical cystectomyOpen radical cystectomyCancer-specific mortalitySurvival outcomesRadical cystectomyPropensity score matchingBladder cancerPatients treated with robot-assisted radical cystectomyAssociation of surgical techniqueLong-term survival outcomesCancer-specific mortality ratesMultivariate Cox regression analysisMultivariate competing risk analysisOpen radical cystectomy patientsRobot-assisted radical cystectomy patientsBilateral pelvic lymphadenectomyCompare survival outcomesMedian follow-upUrothelial bladder cancerScore matchingCox regression analysisPropensity-matched cohortCompeting risk analysisPelvic lymphadenectomyMulticentre cohort
2014
Non-cutaneous conditions clinicians might mistake for abuse
Metz J, Schwartz K, Feldman K, Lindberg D, Coffman J, Bretl D, Harper N, Deye K, Laskey A, Duralde Y, Donaruma-Kwoh M, Steiner D, Feldman K, Schwartz K, Shapiro R, Newton A, Berger R, Hymel K, Haney S, Pekarsky A, Asnes A, McPherson P, Mehta N, Gladston G. Non-cutaneous conditions clinicians might mistake for abuse. Archives Of Disease In Childhood 2014, 99: 817. PMID: 24748639, DOI: 10.1136/archdischild-2013-304701.Peer-Reviewed Original ResearchConceptsLikelihood of abuseMost disease categoriesVitamin D deficiencyPediatric care providersMetabolic bone diseasePhysical abuseAbuse research networkCutaneous mimicsExamining SiblingsD deficiencyMulticentre cohortBone diseaseCare providersConcurrent abuseSecondary analysisDisease categoriesSkeletal dysplasiaAbuse concernsChildrenResearch NetworkAbuseSubjectsMimicsHigh levelsGastrointestinal
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