0000000000347642

AUTHOR

Mark Walterfang

0000-0002-1389-3691

showing 5 related works from this author

Niemann-Pick disease type C symptomatology: an expert-based clinical description

2013

Niemann-Pick disease type C (NP-C) is a rare, progressive, irreversible disease leading to disabling neurological manifestations and premature death. The estimated disease incidence is 1:120,000 live births, but this likely represents an underestimate, as the disease may be under-diagnosed due to its highly heterogeneous presentation. NP-C is characterised by visceral, neurological and psychiatric manifestations that are not specific to the disease and that can be found in other conditions. The aim of this review is to provide non-specialists with an expert-based, detailed description of NP-C signs and symptoms, including how they present in patients and how they can be assessed. Early dise…

MalePediatricsmedicine.medical_specialtyPsychosisAtaxiaReviewDiseaseGelastic cataplexyDysarthriaDiagnosisMiglustatHumansMedicineGenetics(clinical)Pharmacology (medical)Lysosomal lipid storage diseaseVertical supranuclear gaze palsyCognitive declineGenetics (clinical)DystoniaMedicine(all)Niemann–Pick disease type Cbusiness.industryNiemann-Pick disease type CNiemann-Pick Disease Type CGeneral Medicinemedicine.diseaseDystoniaCognitive impairmentSplenomegalyAtaxiaFemalemedicine.symptombusinessmedicine.drugOrphanet Journal of Rare Diseases
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Miglustat in patients with Niemann-Pick disease Type C (NP-C): A multicenter observational retrospective cohort study

2009

Miglustat has been shown to stabilize disease progression in children, juveniles and adults with Niemann-Pick disease type C (NP-C), a rare genetic disorder characterized by progressive neurological deterioration. We report findings from a retrospective observational cohort study assessing the effects of miglustat on neurological disease progression in patients treated in the clinical practice setting. Data from all NP-C patients prescribed miglustat at 25 expert centers were evaluated using a disease disability scale. The scale analyzed four key parameters of neurological disease progression in NP-C (ambulation, manipulation, language, swallowing). Mean individual parameter scores and a co…

MalePediatricsmedicine.medical_specialty1-Deoxynojirimycin1303 BiochemistryAdolescentEndocrinology Diabetes and Metabolism610 Medicine & healthDiseaseBiochemistryCohort StudiesEndocrinology1311 GeneticsMiglustat1312 Molecular BiologyGeneticsHumansMedicineEnzyme InhibitorsChildMolecular BiologyRetrospective StudiesNiemann–Pick disease type Cbusiness.industryNiemann-Pick Disease Type CRetrospective cohort studymedicine.disease1310 EndocrinologyClinical trial2712 Endocrinology Diabetes and MetabolismTreatment Outcome10036 Medical ClinicCohortFemalebusinessNiemann–Pick diseaseCohort studymedicine.drugMolecular Genetics and Metabolism
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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and…

2020

Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…

MaleDepressive disordersSCHEDULESACCURACYSocio-culturaleHospital Anxiety and Depression ScaleOdds03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingIndividual participant data meta-analysisMedicineHumansMajor depression030212 general & internal medicineVALIDITYDepression (differential diagnoses)Mini-international neuropsychiatric interviewProbabilityPsychiatric Status Rating ScalesDepressive Disorder MajorDepressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depressionbusiness.industryIndividual participant dataOdds ratioCIDIAn individual participant data meta-analysis of 73 primary studies.- Journal of psychosomatic research cilt.129 ss.109892 2020 [Wu Y. Levis B. Sun Y. Krishnan A. He C. Riehm K. Rice D. Azar M. Yan X. Neupane D. et al. -Probability of major depression diagnostic classification based on the SCID CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores]3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisDiagnostic interviews/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryClinical psychology
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Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

2020

Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major…

AdultMalemedicine.medical_specialtyMEDLINEDiagnostic interviewScale Individual participant dataHospital Anxiety and Depression Scale03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingHospital Anxiety and DepressionInternal medicinePrevalenceMedicineHumansScreening tool030212 general & internal medicineDepression (differential diagnoses)Screening toolsAgedDepressive Disorder Majorbusiness.industryDepressionIndividual participant dataIndividual participant dataMiddle AgedConfidence interval3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryJournal of psychosomatic research
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Ocular motor biomarkers in Niemann-Pick disease type C: A prospective cross-sectional multicontinental study in 72 patients

2020

AbstractNiemann-Pick type C (NPC) is a rare lysosomal storage disorder with ocular motor involvement. In a multicontinental, cross-sectional study we characterized ocular motor function in 72 genetically proven patients from twelve countries by means of video-oculography. Interlinking with disease severity, we also searched for ocular motor biomarkers. Our study protocol comprised reflexive and self-paced saccades, smooth pursuit, and gaze-holding in horizontal and vertical planes. Data were compared with those of 158 healthy controls. The Modified Disability Rating Scale, Scale for Assessment and Rating of Ataxia, Spinocerebellar Ataxia Functional Index for neurological status, and Montrea…

medicine.medical_specialtyAtaxiaVertical supranuclear gaze palsyPalsygenetic structuresbusiness.industrymedicine.diseaseSaccadic maskingSmooth pursuitProgressive supranuclear palsyPhysical medicine and rehabilitationSaccademedicineSpinocerebellar ataxiamedicine.symptombusiness
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