0000000000786391

AUTHOR

Carolina Bologna

showing 3 related works from this author

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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Drug Prescription and Delirium in Older Inpatients: Results From the Nationwide Multicenter Italian Delirium Day 2015-2016

2019

Objective This study aimed to evaluate the association between polypharmacy and delirium, the association of specific drug categories with delirium, and the differences in drug-delirium association between medical and surgical units and according to dementia diagnosis. Methods Data were collected during 2 waves of Delirium Day, a multicenter delirium prevalence study including patients (aged 65 years or older) admitted to acute and long-term care wards in Italy (2015-2016); in this study, only patients enrolled in acute hospital wards were selected (n = 4,133). Delirium was assessed according to score on the 4 "A's" Test. Prescriptions were classified by main drug categories; polypharmacy w…

Malediagnosismedications0302 clinical medicinepreventionAged 80 and over; Delirium; Drug Prescriptions; Female; Hospital Departments; Humans; Male; Prevalence; Polypharmacy; Prescription Drugs80 and overPrevalenceMedicineLS4_4030212 general & internal medicineAcute hospitalmedia_commonAged 80 and overConfoundingelderly patients hip fracture hospitalized patients prediction rule risk factor dementia events medications prevention diagnosisrisk-factorrisk factorhip fracturePsychiatry and Mental HealthFemalemedicine.symptomeventsDrugmedicine.medical_specialtyPrescription Drugshospitalized-patientsmedia_common.quotation_subjectMEDLINEHospital DepartmentsSocio-culturaleelderly-patientselderly patientsbehavioral disciplines and activitiesDrug Prescriptions03 medical and health sciencesInternal medicinemental disordersDementiaHumansMedical prescriptionprediction ruleAgedPolypharmacybusiness.industryhospitalized patientsDeliriummedicine.diseasenervous system diseasesPolypharmacyDeliriumelderly-patients; hip fracture; hospitalized-patients; prediction rule; risk-factor; dementia; events; medications; prevention; diagnosisbusiness030217 neurology & neurosurgerydementia
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