0000000000704687

AUTHOR

Tommaso Filippini

0000-0003-2100-0344

showing 3 related works from this author

Use of hydroxychloroquine in hospitalised COVID-19 patients is associated with reduced mortality: Findings from the observational multicentre Italian…

2020

Abstract Background Hydroxychloroquine (HCQ) was proposed as potential treatment for COVID-19. Objective We set-up a multicenter Italian collaboration to investigate the relationship between HCQ therapy and COVID-19 in-hospital mortality. Methods In a retrospective observational study, 3,451 unselected patients hospitalized in 33 clinical centers in Italy, from February 19, 2020 to May 23, 2020, with laboratory-confirmed SARS-CoV-2 infection, were analyzed. The primary end-point in a time-to event analysis was in-hospital death, comparing patients who received HCQ with patients who did not. We used multivariable Cox proportional-hazards regression models with inverse probability for treatme…

Malemedicine.medical_specialty030204 cardiovascular system & hematologyLower risklaw.inventionCOVID-19; Disease severity; Hydroxychloroquine; Inflammation; Mortality; Aged; Aged 80 and over; COVID-19; Female; Hospital Mortality; Humans; Hydroxychloroquine; Italy; Male; Middle Aged; Retrospective Studies; Treatment OutcomeCOVID-19; Disease severity; Hydroxychloroquine; Inflammation; Mortality03 medical and health sciences0302 clinical medicineRandomized controlled trialRetrospective StudielawInternal medicine80 and overInternal MedicinemedicineHumans030212 general & internal medicineHospital MortalityMortalityRisk factorDisease severityAgedRetrospective StudiesInflammationAged 80 and overbusiness.industryMortality rateCOVID-19HydroxychloroquineRetrospective cohort studyMiddle AgedCOVID-19 Drug TreatmentTreatment OutcomeItalyPropensity score matchingCommentaryObservational studyFemalebusinessHumanmedicine.drugHydroxychloroquineEuropean journal of internal medicine
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Common cardiovascular risk factors and in-hospital mortality in 3,894 patients with COVID-19: survival analysis and machine learning-based findings f…

2020

Background and aims There is poor knowledge on characteristics, comorbidities and laboratory measures associated with risk for adverse outcomes and in-hospital mortality in European Countries. We aimed at identifying baseline characteristics predisposing COVID-19 patients to in-hospital death. Methods and results Retrospective observational study on 3894 patients with SARS-CoV-2 infection hospitalized from February 19th to May 23rd, 2020 and recruited in 30 clinical centres distributed throughout Italy. Machine learning (random forest)-based and Cox survival analysis. 61.7% of participants were men (median age 67 years), followed up for a median of 13 days. In-hospital mortality exhibited a…

MaleEpidemiologyEndocrinology Diabetes and MetabolismMedicine (miscellaneous)030204 cardiovascular system & hematologycomputer.software_genreMachine Learning0302 clinical medicineRetrospective StudieRisk FactorsCardiovascular DiseaseEpidemiology80 and overMedicineAge FactorViralHospital MortalityBetacoronavirus Hospital MortalityYoung adultAged 80 and overNutrition and DieteticsCOVID-19; Epidemiology; In-hospital mortality; Risk factorsMortality rateHazard ratioAge FactorsMiddle AgedIn-hospital mortalityC-Reactive ProteinCardiovascular DiseasesFemaleSurvival AnalysiCardiology and Cardiovascular MedicineCoronavirus InfectionsHumanGlomerular Filtration RateAdultmedicine.medical_specialtyAdolescentPneumonia Viral030209 endocrinology & metabolismSettore MED/17 - MALATTIE INFETTIVEMachine learningCOVID-19; Epidemiology; In-hospital mortality; Risk factors; Adolescent; Adult; Age Factors; Aged; Aged 80 and over; C-Reactive Protein; COVID-19; Cardiovascular Diseases; Coronavirus Infections; Female; Glomerular Filtration Rate; Humans; Male; Middle Aged; Pandemics; Pneumonia Viral; Retrospective Studies; Risk Factors; SARS-CoV-2; Survival Analysis; Young Adult; Betacoronavirus; Hospital Mortality; Machine LearningArticle03 medical and health sciencesBetacoronavirusYoung AdultHumansRisk factorPandemicsSurvival analysisAgedRetrospective StudiesPandemicBetacoronavirubusiness.industryCoronavirus InfectionSARS-CoV-2Risk FactorCOVID-19Retrospective cohort studyPneumoniaSurvival AnalysisConfidence intervalRisk factorsArtificial intelligencebusinesscomputerNutrition, metabolism, and cardiovascular diseases : NMCD
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Lopinavir/ritonavir and darunavir/cobicistat in hospitalized covid-19 patients: Findings from the multicenter italian corist study

2021

Background: Protease inhibitors have been considered as possible therapeutic agents for COVID-19 patients.Objectives: To describe the association between lopinavir/ritonavir (LPV/r) or darunavir/cobicistat (DRV/c) use and in-hospital mortality in COVID-19 patients.Study Design: Multicenter observational study of COVID-19 patients admitted in 33 Italian hospitals. Medications, preexisting conditions, clinical measures, and outcomes were extracted from medical records. Patients were retrospectively divided in three groups, according to use of LPV/r, DRV/c or none of them. Primary outcome in a time-to event analysis was death. We used Cox proportional-hazards models with inverse probability of…

Medicine (General)medicine.medical_specialtyLopinavir/ritonavirLopinavirR5-920Internal medicinemedicineDarunavirOriginal ResearchCOVID-19; Darunavir; In-hospital mortality; Lopinavir; SARS-CoV-2DarunavirCOVID-19; SARS-CoV-2; darunavir; in-hospital mortality; lopinavirbusiness.industrySARS-CoV-2CobicistatMortality rateCOVID-19LopinavirGeneral Medicinemedicine.diseaseIn-hospital mortalityPropensity score matchingMedicineRitonavirbusinessmedicine.drugKidney disease
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