0000000000402505

AUTHOR

Angela Di Matteo

showing 2 related works from this author

Prevalence of human rotavirus serotypes in some European countries 1981-1988.

1990

An extended epidemiological survey on the circulation of the 4 established human rotavirus (HRV) serotypes in some European countries was carried out on 831 fecal strains collected from infants and young children with acute non-bacterial gastroenteritis during 1981-88. Typing was done by enzyme-linked immunosorbent assay and/or solid-phase immune electron microscopy using VP7 type-specific neutralizing monoclonal antibodies. Serotype 1 HRV strains were found to be largely predominant in this period both in Italy and other countries, whereas serotype 4 strains were less common. The number of strains of serotypes 1 and 4 circulating in Europe was equivalent only in 1983-84. Serotype 2 strains…

Microbiology (medical)SerotypeRotavirusReoviridaeEnzyme-Linked Immunosorbent AssayBiologymedicine.disease_causeVirusRotavirus InfectionsMicrobiologyFecesRotavirusHuman rotavirusmedicinePrevalenceHumansTypingSerotypingFecesGeneral Immunology and MicrobiologyInfantGeneral Medicinebiology.organism_classificationVirologyImmunohistochemistryGastroenteritisEuropeMicroscopy ElectronInfectious DiseasesChild PreschoolViral diseaseScandinavian journal of infectious diseases
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Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE).

2021

AbstractAn accurate prediction of the clinical outcomes of European patients requiring hospitalisation for Coronavirus Disease 2019 (COVID-19) is lacking. The aim of the study is to identify predictors of in-hospital mortality and discharge in a cohort of Lombardy patients with COVID-19. All consecutive hospitalised patients from February 21st to March 30th, 2020, with confirmed COVID-19 from the IRCCS Policlinico San Matteo, Pavia, Lombardy, Italy, were included. In-hospital mortality and discharge were evaluated by competing risk analysis. The Fine and Gray model was fitted in order to estimate the effect of covariates on the cumulative incidence functions (CIFs) for in-hospital mortality…

MalePediatricsmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)ScienceDiseases030204 cardiovascular system & hematologyCompeting risksRisk AssessmentArticle03 medical and health sciences0302 clinical medicinemedicineHumansCumulative incidence030212 general & internal medicineHospital MortalityRegistriesAgedAged 80 and overMultidisciplinaryIn hospital mortalitybusiness.industryQRCOVID-19Lower intensityMiddle AgedItalyViral infectionHospital admissionCohortMedicineInfectious diseasesFemaleRisk assessmentbusinessHumanScientific reports
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