0000000000105809

AUTHOR

Paola Fioretto

showing 4 related works from this author

Additional file 1: of Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

2018

Table S1. Clinical characteristics of patients at baseline and at 4-year grouped by of basal GFR. (DOCX 20 kb)

urologic and male genital diseases
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Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

2018

Background Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage ≥3 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage ≥3 CKD in a large cohort of patients affected by T1DM. Methods A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici D…

AdultMaleNephrologymedicine.medical_specialtyendocrine system diseasesRenal function030209 endocrinology & metabolism030204 cardiovascular system & hematologylcsh:RC870-923Kidneyurologic and male genital diseasesGFR03 medical and health sciences0302 clinical medicineRisk FactorsInternal medicineDiabetes mellitusmedicineHumansAlbuminuriaDiabetic kidney diseaseKidneyType 1 diabetesurogenital systembusiness.industryIncidence (epidemiology)Middle Agedlcsh:Diseases of the genitourinary system. Urologymedicine.diseasefemale genital diseases and pregnancy complicationsAlbuminuria Diabetic kidney disease GFR NephrologyDiabetes Mellitus Type 1medicine.anatomical_structureItalyNephrologyDisease ProgressionAlbuminuriaFemalemedicine.symptombusinessResearch ArticleFollow-Up StudiesGlomerular Filtration RateKidney disease
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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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Additional file 2: of Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

2018

Table S2. Baseline clinical characteristics of patients grouped by eGFR and albuminuria. (DOCX 19 kb)

urologic and male genital diseasesfemale genital diseases and pregnancy complications
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