2023
Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda: an observational case-control study
Morton S, Hehnly C, Burgoine K, Ssentongo P, Ericson J, Kumar M, Hagmann C, Fronterre C, Smith J, Movassagh M, Streck N, Bebell L, Bazira J, Kumbakumba E, Bajunirwe F, Mulondo R, Mbabazi-Kabachelor E, Nsubuga B, Natukwatsa D, Nalule E, Magombe J, Erickson T, Ngonzi J, Ochora M, Olupot-Olupot P, Onen J, Ssenyonga P, Mugamba J, Warf B, Kulkarni A, Lane J, Whalen A, Zhang L, Sheldon K, Meier F, Kiwanuka J, Broach J, Paulson J, Schiff S. Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda: an observational case-control study. The Lancet Microbe 2023, 4: e601-e611. PMID: 37348522, PMCID: PMC10529524, DOI: 10.1016/s2666-5247(23)00106-4.Peer-Reviewed Original ResearchConceptsMother-newborn pairsPostinfectious hydrocephalusCerebrospinal fluidNeonatal sepsisSpp infectionUgandan infantsMaternal bloodObservational case-control studyHospital OfficeInfant's cerebrospinal fluidBurden of morbidityCase-control studyRoute of infectionSubset of participantsMaternal feverCranial ultrasoundNeonatal infectionSepsis cohortOptimise treatmentTransplacental transmissionCord bloodObservational studyPlacental samplesSepsisHydrocephalusNeonatal Paenibacilliosis: Paenibacillus Infection as a Novel Cause of Sepsis in Term Neonates With High Risk of Sequelae in Uganda
Ericson J, Burgoine K, Kumbakumba E, Ochora M, Hehnly C, Bajunirwe F, Bazira J, Fronterre C, Hagmann C, Kulkarni A, Kumar M, Magombe J, Mbabazi-Kabachelor E, Morton S, Movassagh M, Mugamba J, Mulondo R, Natukwatsa D, Kaaya B, Olupot-Olupot P, Onen J, Sheldon K, Smith J, Ssentongo P, Ssenyonga P, Warf B, Wegoye E, Zhang L, Kiwanuka J, Paulson J, Broach J, Schiff S. Neonatal Paenibacilliosis: Paenibacillus Infection as a Novel Cause of Sepsis in Term Neonates With High Risk of Sequelae in Uganda. Clinical Infectious Diseases 2023, 77: 768-775. PMID: 37279589, PMCID: PMC10495130, DOI: 10.1093/cid/ciad337.Peer-Reviewed Original ResearchConceptsNeonatal sepsisPostinfectious hydrocephalusCerebrospinal fluidSigns of sepsisFull-term neonatesOptimal antibiotic treatmentUgandan referral hospitalQuantitative polymerase chain reactionNeonatal characteristicsClinical sepsisTerm neonatesUnderdiagnosed causeAntibiotic choiceMedian ageReferral hospitalUgandan hospitalNeurodevelopmental impairmentAdverse outcomesSpecimen typesAntibiotic treatmentPolymerase chain reactionClinical signsUnusual pathogensSepsisHigh riskIdentification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
de Havenon A, Parasuram N, Crawford A, Mazurek M, Chavva I, Yadlapalli V, Iglesias J, Rosen M, Falcone G, Payabvash S, Sze G, Sharma R, Schiff S, Safdar B, Wira C, Kimberly W, Sheth K. Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging. Journal Of The American Heart Association 2023, 12: e029242. PMID: 37218590, PMCID: PMC10381997, DOI: 10.1161/jaha.122.029242.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMagnetic resonance imagingSevere white matter hyperintensitiesConventional magnetic resonance imagingResonance imagingRetrospective cohortEmergency departmentMatter hyperintensitiesVascular risk factorsProspective observational studyVascular cognitive impairmentTesla magnetic resonance imagingArea Deprivation IndexProspective cohortAdult patientsAcute careRisk factorsCardiovascular diseaseObservational studyCognitive impairmentPatientsCare magnetic resonance imagingIntermodality agreementCohortDeprivation index
2022
Cytomegalovirus infections in infants in Uganda: Newborn-mother pairs, neonates with sepsis, and infants with hydrocephalus
Hehnly C, Ssentongo P, Bebell L, Burgoine K, Bazira J, Fronterre C, Kumbakumba E, Mulondo R, Mbabazi-Kabachelor E, Morton S, Ngonzi J, Ochora M, Olupot-Olupot P, Mugamba J, Onen J, Roberts D, Sheldon K, Sinnar S, Smith J, Ssenyonga P, Kiwanuka J, Paulson J, Meier F, Ericson J, Broach J, Schiff S. Cytomegalovirus infections in infants in Uganda: Newborn-mother pairs, neonates with sepsis, and infants with hydrocephalus. International Journal Of Infectious Diseases 2022, 118: 24-33. PMID: 35150915, PMCID: PMC9058984, DOI: 10.1016/j.ijid.2022.02.005.Peer-Reviewed Original ResearchConceptsNewborn-mother pairsCMV prevalenceClinical sepsisCytomegalovirus infectionCerebrospinal fluidPrevalence of CMVQuantitative PCRCMV positivityPostinfectious hydrocephalusVaginal sheddingCMV infectionHIV seropositivityNeonatal ageMaternal ageMaternal vaginalRisk factorsMedical CenterLong-term consequencesMother pairsSepsisNeonatesInfantsPrevalenceHydrocephalusCMV
2021
Preoperative risk and postoperative outcome from subdural fluid collections in African infants with postinfectious hydrocephalus.
Lane J, Ssentongo P, Peterson M, Harper J, Mbabazi-Kabachelor E, Mugamba J, Ssenyonga P, Onen J, Donnelly R, Levenbach J, Cherukuri V, Monga V, Kulkarni A, Warf B, Schiff S. Preoperative risk and postoperative outcome from subdural fluid collections in African infants with postinfectious hydrocephalus. Journal Of Neurosurgery Pediatrics 2021, 29: 31-39. PMID: 34598146, PMCID: PMC9078082, DOI: 10.3171/2021.7.peds21209.Peer-Reviewed Original ResearchVaginal microbiome topic modeling of laboring Ugandan women with and without fever
Movassagh M, Bebell L, Burgoine K, Hehnly C, Zhang L, Moran K, Sheldon K, Sinnar S, Mbabazi-Kabachelor E, Kumbakumba E, Bazira J, Ochora M, Mulondo R, Nsubuga B, Weeks A, Gladstone M, Olupot-Olupot P, Ngonzi J, Roberts D, Meier F, Irizarry R, Broach J, Schiff S, Paulson J. Vaginal microbiome topic modeling of laboring Ugandan women with and without fever. Npj Biofilms And Microbiomes 2021, 7: 75. PMID: 34508087, PMCID: PMC8433417, DOI: 10.1038/s41522-021-00244-1.Peer-Reviewed Original ResearchConceptsIntrapartum feverClinical variablesHigh prevalenceVaginal microbiomeUgandan womenLonger labour durationMaternal clinical featuresYoung maternal ageDuration of pregnancyOnset of laborMicrobial communitiesVaginal microbial communitiesAfebrile mothersFebrile mothersPeripartum courseMaternal feverNeonatal outcomesLabor durationClinical featuresMaternal ageVaginal microbesFeverOutcome riskVeillonella genusMicrobiome influencesNormal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid
Peterson M, Cherukuri V, Paulson J, Ssentongo P, Kulkarni A, Warf B, Monga V, Schiff S. Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid. Journal Of Neurosurgery Pediatrics 2021, 28: 458-468. PMID: 34243147, PMCID: PMC8594737, DOI: 10.3171/2021.2.peds201006.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsAnalysis of VarianceAnthropometryBody WeightBrainCerebrospinal FluidChildChild DevelopmentChild, PreschoolCohort StudiesFemaleFunctional LateralityHumansHydrocephalusInfantInfant, NewbornMagnetic Resonance ImagingMaleOrgan SizePopulationReference StandardsSex CharacteristicsConceptsBrain growthBrain volumeFluid accumulationRatio of brainHealthy pediatric subjectsTotal brain volumeAge 18 yearsYears of ageRegional brain volumesNormal brain growthAge-dependent relationshipCSF accumulationPediatric subjectsChildhood diseasesCerebrospinal fluidCSF volumeCongenital disorderVolume trajectoriesEarly childhoodNormative growth curvesNumerous conditionsSexMagnetic resonanceBrain sizeSpreading depression as an innate antiseizure mechanism
Tamim I, Chung D, de Morais A, Loonen I, Qin T, Misra A, Schlunk F, Endres M, Schiff S, Ayata C. Spreading depression as an innate antiseizure mechanism. Nature Communications 2021, 12: 2206. PMID: 33850125, PMCID: PMC8044138, DOI: 10.1038/s41467-021-22464-x.Peer-Reviewed Original ResearchConceptsFocal neocortical seizuresSystemic kainic acidCentral nervous systemVivo mouse modelAntiseizure mechanismsAntiseizure effectsSeizure generalizationFocal seizuresSD occurrenceNeocortical seizuresKainic acidBrain injuryMouse modelNervous systemSeizuresNeurological disordersProlonged depolarizationSDDepressionBicucullineMigraineInjuryGlobal, regional and national epidemiology and prevalence of child stunting, wasting and underweight in low- and middle-income countries, 2006–2018
Ssentongo P, Ssentongo A, Ba D, Ericson J, Na M, Gao X, Fronterre C, Chinchilli V, Schiff S. Global, regional and national epidemiology and prevalence of child stunting, wasting and underweight in low- and middle-income countries, 2006–2018. Scientific Reports 2021, 11: 5204. PMID: 33664313, PMCID: PMC7933191, DOI: 10.1038/s41598-021-84302-w.Peer-Reviewed Original Research
2020
Exome sequencing implicates genetic disruption of prenatal neuro-gliogenesis in sporadic congenital hydrocephalus
Jin SC, Dong W, Kundishora AJ, Panchagnula S, Moreno-De-Luca A, Furey CG, Allocco AA, Walker RL, Nelson-Williams C, Smith H, Dunbar A, Conine S, Lu Q, Zeng X, Sierant MC, Knight JR, Sullivan W, Duy PQ, DeSpenza T, Reeves BC, Karimy JK, Marlier A, Castaldi C, Tikhonova IR, Li B, Peña HP, Broach JR, Kabachelor EM, Ssenyonga P, Hehnly C, Ge L, Keren B, Timberlake AT, Goto J, Mangano FT, Johnston JM, Butler WE, Warf BC, Smith ER, Schiff SJ, Limbrick DD, Heuer G, Jackson EM, Iskandar BJ, Mane S, Haider S, Guclu B, Bayri Y, Sahin Y, Duncan CC, Apuzzo MLJ, DiLuna ML, Hoffman EJ, Sestan N, Ment LR, Alper SL, Bilguvar K, Geschwind DH, Günel M, Lifton RP, Kahle KT. Exome sequencing implicates genetic disruption of prenatal neuro-gliogenesis in sporadic congenital hydrocephalus. Nature Medicine 2020, 26: 1754-1765. PMID: 33077954, PMCID: PMC7871900, DOI: 10.1038/s41591-020-1090-2.Peer-Reviewed Original ResearchConceptsCongenital hydrocephalusPoor neurodevelopmental outcomesPost-surgical patientsCerebrospinal fluid accumulationNeural stem cell biologyGenetic disruptionWhole-exome sequencingPrimary pathomechanismEarly brain developmentNeurodevelopmental outcomesHigh morbidityCSF diversionMutation burdenFluid accumulationBrain ventriclesCH casesBrain developmentDe novo mutationsPatientsExome sequencingCSF dynamicsDisease mechanismsHydrocephalusNovo mutationsCell types
2019
The Incidence of Postoperative Seizures Following Treatment of Postinfectious Hydrocephalus in Ugandan Infants: A Post Hoc Comparison of Endoscopic Treatment vs Shunt Placement in a Randomized Controlled Trial.
Punchak M, Mbabazi Kabachelor E, Ogwal M, Nalule E, Nalwoga J, Ssenyonga P, Mugamba J, Rattani A, Dewan M, Kulkarni A, Schiff S, Warf B. The Incidence of Postoperative Seizures Following Treatment of Postinfectious Hydrocephalus in Ugandan Infants: A Post Hoc Comparison of Endoscopic Treatment vs Shunt Placement in a Randomized Controlled Trial. Neurosurgery 2019, 85: e714-e721. PMID: 31086941, PMCID: PMC7534394, DOI: 10.1093/neuros/nyz122.Peer-Reviewed Original ResearchConceptsChoroid plexus cauterizationETV/CPCPostoperative seizure incidencePostinfectious hydrocephalusSeizure incidenceEndoscopic third ventriculostomyUgandan infantsShunt placementMantel-Haenszel hazard ratiosKaplan-Meier methodVentriculoperitoneal shunt placementPostoperative epilepsyPostoperative seizuresPreoperative symptomsEpilepsy incidenceFirst seizureHazard ratioControlled TrialsEndoscopic treatmentThird ventriculostomyTreatment modalitiesSeizure riskHead circumferenceRelative riskSeizure onset
2018
Normative human brain volume growth.
Peterson M, Warf B, Schiff S. Normative human brain volume growth. Journal Of Neurosurgery Pediatrics 2018, 21: 478-485. PMID: 29498607, PMCID: PMC6212293, DOI: 10.3171/2017.10.peds17141.Peer-Reviewed Original ResearchConceptsStatistical measuresPower lawNonlinear least-squares regression algorithmGood statistical resultsLeast squares regression algorithmCurve fitCandidate modelsCorresponding statisticsAppropriate statistical measuresFit parametersStatistical resultsRegression algorithmWeibull fitWeibull modelNormative MRI dataPotential modelFitVolume growthGompertz modelBest modelModelModel curve fitWeibullLawStatistics
2017
Endoscopic Treatment versus Shunting for Infant Hydrocephalus in Uganda
Kulkarni A, Schiff S, Mbabazi-Kabachelor E, Mugamba J, Ssenyonga P, Donnelly R, Levenbach J, Monga V, Peterson M, MacDonald M, Cherukuri V, Warf B. Endoscopic Treatment versus Shunting for Infant Hydrocephalus in Uganda. New England Journal Of Medicine 2017, 377: 2456-2464. PMID: 29262276, PMCID: PMC5784827, DOI: 10.1056/nejmoa1707568.Peer-Reviewed Original ResearchConceptsETV-CPCPostinfectious hydrocephalusUgandan infantsTreatment failureCognitive outcomesBrain volumeSingle-center studyEndoscopic third ventriculostomyChoroid plexus cauterizationMajor health problemSignificant differencesLanguage scoresSecondary outcomesEndoscopic treatmentPrimary outcomeVentricular sizeThird ventriculostomyInfant hydrocephalusComputed tomographyTreatment groupsAlternative treatmentLate failureBayley ScalesBrain growthConventional treatmentExpansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance
Geronimo A, Sheldon K, Broach J, Simmons Z, Schiff S. Expansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance. Scientific Reports 2017, 7: 8875. PMID: 28827593, PMCID: PMC5567164, DOI: 10.1038/s41598-017-08857-3.Peer-Reviewed Original ResearchConceptsAmyotrophic lateral sclerosisLateral sclerosisFrontotemporal dementiaExpansion of C9ORF72Multiple neurodegenerative disordersHealthy controlsSymptom ratesHigh prevalenceAltered pathologyNeurodegenerative disordersBrain functionPatientsC9orf72 geneSclerosisAbnormal expansionPersonalized assessmentPsychological changesRepeat expansionBrain-computer interface performanceFurther explorationBCI taskHexanucleotide GGGGCCDementiaPrevalencePathology
2016
Prevalence and correlates of MRSA and MSSA nasal carriage at a Ugandan regional referral hospital
Bebell L, Ayebare A, Boum Y, Siedner M, Bazira J, Schiff S, Metlay J, Bangsberg D, Ttendo S, Firth P. Prevalence and correlates of MRSA and MSSA nasal carriage at a Ugandan regional referral hospital. Journal Of Antimicrobial Chemotherapy 2016, 72: 888-892. PMID: 27999030, PMCID: PMC5890783, DOI: 10.1093/jac/dkw472.Peer-Reviewed Original ResearchConceptsMRSA carriageMSSA carriersSA carriageNasal carriageAntibiotic useStaphylococcus aureusOpen woundsMRSA nasal carriage prevalenceUgandan Regional Referral HospitalMultivariable logistic regression analysisMSSA nasal carriageNasal carriage prevalenceSurgical ward admissionRegional Referral HospitalMRSA nasal carriageCurrent antibiotic useLogistic regression analysisResource-limited settingsMRSA carriersSA infectionsWard admissionHIV infectionReferral hospitalCarriage prevalenceAnterior naresPerformance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis
Geronimo A, Simmons Z, Schiff S. Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis. Journal Of Neural Engineering 2016, 13: 026002. PMID: 26824590, DOI: 10.1088/1741-2560/13/2/026002.Peer-Reviewed Original Research
2014
Volumetric brain analysis in neurosurgery: Part 3. Volumetric CT analysis as a predictor of seizure outcome following temporal lobectomy.
Mandell J, Hill K, Nguyen D, Moser K, Harbaugh R, McInerney J, Nsubuga B, Mugamba J, Johnson D, Warf B, Boling W, Webb A, Schiff S. Volumetric brain analysis in neurosurgery: Part 3. Volumetric CT analysis as a predictor of seizure outcome following temporal lobectomy. Journal Of Neurosurgery Pediatrics 2014, 15: 133-43. PMID: 25431899, DOI: 10.3171/2014.9.peds12428.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAnterior Temporal LobectomyBrainCerebrospinal FluidChildChild, PreschoolCognitionCone-Beam Computed TomographyEpilepsy, Temporal LobeFemaleFrontal LobeHumansHydrocephalusInfantMagnetic Resonance ImagingMaleNeurosurgical ProceduresOccipital LobeOrgan SizePredictive Value of TestsSeizuresTreatment OutcomeUgandaConceptsTemporal lobe volumeMesial temporal sclerosisTemporal lobe epilepsyTemporal lobe resectionSeizure outcomeTemporal lobeVolumetric CT analysisBrain volumeLobe volumeSeizure controlStructural MRILobe resectionEngel class Ia outcomeClass Ia outcomeSelection of patientsCT volumetric analysisPreoperative CT scanSmaller brain volumesSmaller temporal lobeCURE Children's HospitalIncomplete seizure controlNormalized brain volumeWhole brain volumeCT analysisTemporal lobe structuresVolumetric brain analysis in neurosurgery: Part 1. Particle filter segmentation of brain and cerebrospinal fluid growth dynamics from MRI and CT images.
Mandell J, Langelaan J, Webb A, Schiff S. Volumetric brain analysis in neurosurgery: Part 1. Particle filter segmentation of brain and cerebrospinal fluid growth dynamics from MRI and CT images. Journal Of Neurosurgery Pediatrics 2014, 15: 113-24. PMID: 25431902, DOI: 10.3171/2014.9.peds12426.Peer-Reviewed Original ResearchConceptsEdge trackerParticle filterGround vehicle navigationBrain image analysisCT imagesMRI data setsImage segmentationSegmentation algorithmAutonomous airVehicle navigationAccurate edgesNovel algorithmManual segmentationSegmentationMR imagesBrain dataVolumetric brain analysisData setsImage analysisSemiautomatic methodImagesModality independenceHistorical dataAlgorithmMRI dataVolumetric brain analysis in neurosurgery: Part 2. Brain and CSF volumes discriminate neurocognitive outcomes in hydrocephalus.
Mandell J, Kulkarni A, Warf B, Schiff S. Volumetric brain analysis in neurosurgery: Part 2. Brain and CSF volumes discriminate neurocognitive outcomes in hydrocephalus. Journal Of Neurosurgery Pediatrics 2014, 15: 125-32. PMID: 25431901, DOI: 10.3171/2014.9.peds12427.Peer-Reviewed Original ResearchConceptsFrontal-occipital horn ratioNeurocognitive outcomesBrain volumeCSF volumeFluid volumePediatric patientsBrain developmentEvaluation of hydrocephalusGoal of treatmentSmaller brain volumesLower cognitive outcomesPoor neurocognitive outcomesNormal brain developmentLarge fluid volumesHealthy brain developmentVolumetric brain analysisSurgical treatmentVentricular sizeHydrocephalic patientsCT scanHydrocephalusPatientsBayley ScalesBrain growthFine motorAcceptance of brain-computer interfaces in amyotrophic lateral sclerosis
Geronimo A, Stephens H, Schiff S, Simmons Z. Acceptance of brain-computer interfaces in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration 2014, 16: 258-264. PMID: 25372874, DOI: 10.3109/21678421.2014.969275.Peer-Reviewed Original Research