0000000000292847

AUTHOR

Mariacarolina Salerno

showing 5 related works from this author

Congenital hypothyroidism: A 2020-2021 consensus guidelines update-An ENDO-European Reference Network initiative endorsed by the European Society for…

2021

Background: An ENDO-European Reference Network (ERN) initiative was launched that was endorsed by the European Society for Pediatric Endocrinology and the European Society for Endocrinology with 22 participants from the ENDO-ERN and the two societies. The aim was to update the practice guidelines for the diagnosis and management of congenital hypothyroidism (CH). A systematic literature search was conducted to identify key articles on neonatal screening, diagnosis, and management of primary and central CH. The evidence-based guidelines were graded with the Grading of Recommendations, Assessment, Development and Evaluation system, describing both the strength of recommendations and the quali…

Transition to Adult Caremedicine.medical_specialtyConsensusdyshormonogenesisPediatric endocrinologyEndocrinology Diabetes and MetabolismLevothyroxine030209 endocrinology & metabolismHarmonization03 medical and health sciences0302 clinical medicineEndocrinologyNeonatal ScreeningPredictive Value of TestsRisk FactorsInternal medicineEpidemiologyCentral hypothyroidismneonatal screeningHumansMedicineguidelinesGrading (education)thyroid dysgenesisCongenital hypothyroidism guidelines pediatric endocrinologycongenital hypothyroifidm consensus guideline EndoERNEvidence-Based Medicinebusiness.industryInfant Newborncentral hypothyroidismcongenital hypothyroidismPrognosismedicine.diseaseCongenital hypothyroidismBenchmarkingEndocrinology030220 oncology & carcinogenesisFamily medicineEtiologySpecial Articlesbusinessmedicine.drugYearbook of Paediatric Endocrinology
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Autoimmune polyendocrine syndrome type 1: an Italian survey on 158 patients

2021

Abstract Background Autoimmune Polyglandular Syndrome type 1 (APS-1) is a rare recessive inherited disease, caused by AutoImmune Regulator (AIRE) gene mutations and characterized by three major manifestations: chronic mucocutaneous candidiasis (CMC), chronic hypoparathyroidism (CH) and Addison’s disease (AD). Methods Autoimmune conditions and associated autoantibodies (Abs) were analyzed in 158 Italian patients (103 females and 55 males; F/M 1.9/1) at the onset and during a follow-up of 23.7 ± 15.1 years. AIRE mutations were determined. Results The prevalence of APS-1 was 2.6 cases/million (range 0.5–17 in different regions). At the onset 93% of patients presented with one or more component…

MaleTranscription FactorEndocrinology Diabetes and MetabolismAutoimmune hepatitisGene mutationGastroenterologyChronic mucocutaneous candidiasisEndocrinologyAddison DiseaseAutoimmune Polyglandular Syndrome type 1 (APS-1)PrevalenceMedicineChronic mucocutaneous candidiasisPolyendocrinopathies AutoimmuneCandidiasis Chronic MucocutaneouAddison’s disease AIRE gene mutations Autoimmune Polyglandular Syndrome type 1 (APS-1) Autoimmune-poly-endocrine-candidiasis-ectodermal-dystrophy (APECED) Chronic hypoparathyroidism Chronic mucocutaneous candidiasis Interferon autoantibodiesCandidiasis Chronic MucocutaneousAIRE gene mutations; Addison’s disease; autoimmune polyglandular syndrome type 1 (APS-1); autoimmune-poly-endocrine-candidiasis-ectodermal-dystrophy (APECED); chronic hypoparathyroidism; chronic mucocutaneous candidiasis; interferon autoantibodiesAutoimmune regulatorAutoantibodieItalyInterferon autoantibodieAddison's diseaseInterferon Type IOriginal ArticleFemaleChronic hypoparathyroidismHumanAdultmedicine.medical_specialtyAutoimmune GastritisHypoparathyroidismAddison’s diseaseAIRE gene mutationsInternal medicineInterferon autoantibodiesHumansMortalityAutoantibodiesAddison’s disease; AIRE gene mutations; Autoimmune Polyglandular Syndrome type 1 (APS-1); Autoimmune-poly-endocrine-candidiasis-ectodermal-dystrophy (APECED); Chronic hypoparathyroidism; Chronic mucocutaneous candidiasis; Interferon autoantibodiesbusiness.industryChronic mucocutaneous candidiasiAIRE gene mutationAutoantibodymedicine.diseaseAutoimmune-poly-endocrine-candidiasis-ectodermal-dystrophy (APECED)Interferon autoantibodies.Autoimmune polyendocrine syndrome type 1MutationbusinessTranscription Factors
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MODELLO DI PREVISIONE DELLA STATURA FINALE IN PAZIENTI PEDIATRICI ITALIANI AFFETTI DA DEFICIT DI GH TRATTATI CON SOMATROPINA

2021

Obiettivi: elaborare un modello di previsione della statura finale in pazienti pediatrici con deficit di GH trattati con somatropina ricombinante, valutando quali siano le variabili più importanti nel determinismo della statura finale. Metodi: 1043 pazienti trattati per deficit di GH (picco di GH <10 ng/dl a 2 test di stimolo) giunti ad altezza finale. Mediana età a inizio trattamento 11 (IQR 8.7/12.8) anni; mediana altezza a inizio trattamento -2.43 (IQR -2.80/-2.01) SDS; mediana altezza bersaglio -1.09 (IQR -1.63/-0.48) SDS; dose iniziale di somatropina mediana altezza finale -1.08 SDS (IQR -1.64/-0.50 SDS, vs altezza a inizio trattamento p <0.001, vs altezza bersaglio p=ns). Analis…

Settore MED/38 - Pediatria Generale E SpecialisticaMODELLO DI PREVISIONE STATURA FINALE DEFICIT DI GHSOMATROPINA
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Frictionless contact-detachment analysis: iterative linear complementarity and quadratic programming approaches.

2012

The object of the paper concerns a consistent formulation of the classical Signorini’s theory regarding the frictionless contact problem between two elastic bodies in the hypothesis of small displacements and strains. The employment of the symmetric Galerkin boundary element method, based on boundary discrete quantities, makes it possible to distinguish two different boundary types, one in contact as the zone of potential detachment, called the real boundary, the other detached as the zone of potential contact, called the virtual boundary. The contact-detachment problem is decomposed into two sub-problems: one is purely elastic, the other regards the contact condition. Following this method…

Linear ComplementarityQuadratic ProgrammingApplied MathematicsMechanical EngineeringContact-detachmentMathematical analysisComputational MechanicsOcean EngineeringMixed boundary conditionSymmetric BEMLinear complementarity problemComplementarity (physics)Computational MathematicsSymmetric BEM Contact-detachment Linear Complementarity Quadratic ProgrammingComputational Theory and MathematicsFree boundary problemBoundary value problemQuadratic programmingSettore ICAR/08 - Scienza Delle CostruzioniGalerkin methodBoundary element methodMathematics
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Isolated childhood growth hormone deficiency: a 30-year experience on final height and a new prediction model

2022

Purpose We aimed to evaluate the near-final height (nFHt) in a large cohort of pediatricpatients with growth hormone deficiency (GHD) and to elaborate a new predictive method of nFHt. Methods We recruited GHD patients diagnosed between 1987 and 2014 and followed-up until nFHt. To predict the values of nFHt, each predictor was run in a univariable spline. Results We enrolled 1051 patients. Pre-treatment height was -2.43 SDS, lower than parental height (THt) (-1.09 SDS, p < 0.001). The dose of recombinant human GH (rhGH) was 0.21mg/kg/week at start of treatment. nFHt was -1.08 SDS (height gain 1.27 SDS), higher than pre-treatment height (p < 0.001) and comparable to THt. 1.6% of the pat…

Insulin-like growth factor 1Human Growth HormoneEndocrinology Diabetes and MetabolismPubertyFinal height; Growth; Growth hormone deficiency; Growth hormone retesting; Insulin-like growth factor 1; LMG method; PredictionDwarfismGrowthBody HeightCohort StudiesEndocrinologySettore MED/38 - Pediatria Generale E SpecialisticaGrowth hormone retestingPituitaryFinal heightGrowth HormoneFinal height; Growth; Growth hormone deficiency; Growth hormone retesting; Insulin-like growth factor 1; LMG method; Prediction; Body Height; Child; Cohort Studies; Growth Hormone; Humans; Puberty; Dwarfism Pituitary; Human Growth HormoneHumansGrowth hormone deficiencyLMG methodDwarfism PituitaryPredictionChildFinal height Growth Growth hormone deficiency Growth hormone retesting Insulin-like growth factor 1 LMG method Prediction
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