0000000000148965

AUTHOR

Salerno F.

showing 3 related works from this author

Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

2020

8 páginas, 3 figuras

Infecções Respiratórias0301 basic medicineMESH: Coronavirus InfectionsEpidemiology[SDV]Life Sciences [q-bio]Distribution (economics)WastewaterMESH: Base SequenceSevere Acute Respiratory SyndromeMESH: World Health OrganizationPandemicMESH: CoronavirusMESH: COVID-19SequencingViralCladeNomenclatureGenomebiologyNomenclatureCOVID-19; Europe; NGS; SARS-CoV-2; WGS; nomenclature; sequencing; Base Sequence; Betacoronavirus; COVID-19; Coronavirus; Coronavirus Infections; Europe; Genome Viral; Humans; Phylogeography; Pneumonia Viral; RNA Viral; RNA-Dependent RNA Polymerase; SARS-CoV-2; Severe Acute Respiratory Syndrome; Spatio-Temporal Analysis; World Health Organization; PandemicsC500sequencingEuropean region3. Good healthEuropePhylogeographyGeographyMESH: PhylogeographyMESH: RNA-Dependent RNA PolymeraseMESH: RNA ViralNGSMESH: BetacoronavirusRNA ViralSpatio-Temporal AnalysinomenclatureMESH: Genome ViralCoronavirus InfectionsCartographyHumanBioquímicaMESH: PandemicsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronaviruPneumonia Viral030106 microbiologyGenome ViralWorld Health OrganizationCOVID-19 ; Europe ; NGS ; SARS-CoV-2 ; WGS ; nomenclature ; sequencing03 medical and health sciencesBetacoronavirusMESH: Spatio-Temporal AnalysisSpatio-Temporal AnalysisMESH: Severe Acute Respiratory SyndromeVirologyHumansMESH: SARS-CoV-2PandemicsWhole genome sequencingMESH: HumansWhole Genome SequencingBetacoronaviruBase SequenceCoronavirus Infectionbusiness.industrySARS-CoV-2Public Health Environmental and Occupational HealthCOVID-19Pneumoniabiology.organism_classificationRNA-Dependent RNA PolymeraseB900Coronavirus030104 developmental biologyMESH: Pneumonia ViralRNASARS_CoV-23111 BiomedicineMESH: EuropeHuman medicinebusinessBetacoronavirusWGSEurosurveillance
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The multifaceted spectrum of liver cirrhosis in older hospitalised patients: Analysis of the REPOSI registry

2021

Abstract Background Knowledge on the main clinical and prognostic characteristics of older multimorbid subjects with liver cirrhosis (LC) admitted to acute medical wards is scarce. Objectives To estimate the prevalence of LC among older patients admitted to acute medical wards and to assess the main clinical characteristics of LC along with its association with major clinical outcomes and to explore the possibility that well-distinguished phenotypic profiles of LC have classificatory and prognostic properties. Methods A cohort of 6,193 older subjects hospitalised between 2010 and 2018 and included in the REPOSI registry was analysed. Results LC was diagnosed in 315 patients (5%). LC was ass…

Patient Discharge.RegistrieAgingmedicine.medical_specialtyCirrhosisphenotypeliver cirrhosisAftercareOlder populationNOolder people03 medical and health sciencesSocial support0302 clinical medicinePhenotypic analysisOlder patientsInternal medicinemedicineHumansRegistries030212 general & internal medicineLS4_4Hospital MortalityAgedbusiness.industryhospitalisationliver cirrhosiHazard ratioConfoundingphenotypesGeneral Medicinemedicine.diseasedisability; hospitalisation; liver cirrhosis; mortality; older people; phenotypes; Aged; Hospital Mortality; Hospitalization; Humans; Liver Cirrhosis; Registries; Aftercare; Patient DischargemortalityPatient DischargeHospitalizationdisabilityCohortdisability hospitalisation liver cirrhosis mortality older people phenotypes030211 gastroenterology & hepatologyGeriatrics and Gerontologybusinessdisability; hospitalisation; liver cirrhosis; mortality; older people; phenotypesHuman
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Underdiagnosis and undertreatment of osteoporotic patients admitted in internal medicine wards in Italy between 2010 and 2016 (the REPOSI Register)

2021

Purpose: To evaluate clinical features, treatments, and outcomes of osteoporotic patients admitted to internal medicine and geriatric wards compared with non-osteoporotic patients (REPOSI registry). Methods: We studied 4714 patients hospitalized between 2010 and 2016. We reported age, sex, educational level, living status, comorbidities and drugs taken, Cumulative Illness Rating Scale (CIRS), Barthel Index, Short-Blessed Test, 4-item Geriatric Depression Scale, serum hemoglobin, creatinine, and clinical outcomes. Osteoporosis was defined based on the diagnoses recorded at admission, according to the following ICD9: 733, 805-813, 820-823. Results: Twelve percent of the patients had a preadmi…

medicine.medical_specialtyEndocrinology Diabetes and Metabolismmedicine.medical_treatmentOsteoporosis030209 endocrinology & metabolismNO03 medical and health scienceschemistry.chemical_compound0302 clinical medicineEndocrinologyRating scaleInternal medicineDiabetes mellitusVitamin D and neurologyInternal MedicineMedicineeracturesHumansBisphosphonateMedical diagnosisbisphosphonates; eractures; osteoporosis; vitamin DVitamin DAgedCreatinineRehabilitationLS7_9Bisphosphonates; Fractures; Osteoporosis; Vitamin D.business.industryOsteoporosiBisphosphonatesmedicine.diseaseHospitalizationFracturechemistryItaly030220 oncology & carcinogenesisOsteoporosisGeriatric Depression ScaleVitamin D.businessBisphosphonates; Fractures; Osteoporosis; Vitamin D; Aged; Hospitalization; Humans; Internal Medicine; Italy; Vitamin D; OsteoporosisBisphosphonates; Fractures; Osteoporosis; Vitamin DFractures
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