0000000000217987

AUTHOR

Alessio Farcomeni

showing 13 related works from this author

Carotid plaque detection improves the predictve value of CHA2DS2-VASc score in patients with non-valvular atrial fibrilation: The ARAPACIS Study

2017

Abstract Background and aims Vascular disease (VD), as assessed by history of myocardial infarction or peripheral artery disease or aortic plaque, increases stroke risk in atrial fibrillation (AF), and is a component of risk assessment using the CHA 2 DS 2 -VASc score. We investigated if systemic atherosclerosis as detected by ultrasound carotid plaque (CP) could improve the predictive value of the CHA 2 DS 2 -VASc score. Methods We analysed data from the ARAPACIS study, an observational study including 2027 Italian patients with non-valvular AF, in whom CP was detected using Doppler Ultrasonography. Results VD was reported in 351 (17.3%) patients while CP was detected in 16.6% patients. Ad…

Atherosclerosis Atrial fibrillation Carotid plaque CHA2DS2-VASc score Stroke Vascular diseaseCarotid Artery DiseasesMaleAtherosclerosis; Atrial fibrillation; Carotid plaque; CHA2DS2-VASc score; Stroke; Vascular disease; Aged; Aged 80 and over; Ankle Brachial Index; Atrial Fibrillation; Carotid Artery Diseases; Female; Humans; Incidence; Italy; Male; Plaque Atherosclerotic; Retrospective Studies; Risk Factors; Survival Rate; Ultrasonography Doppler; Risk Assessment; Cardiology and Cardiovascular Medicine030204 cardiovascular system & hematologyatrialf fibrillation0302 clinical medicineRetrospective StudieRisk FactorsCarotid artery diseaseAtherosclerosis; Atrial fibrillation; Carotid plaque; CHA; 2; DS; 2; -VASc score; Stroke; Vascular disease; Aged; Aged 80 and over; Ankle Brachial Index; Atrial Fibrillation; Carotid Artery Diseases; Female; Humans; Incidence; Italy; Male; Plaque Atherosclerotic; Retrospective Studies; Risk Factors; Survival Rate; Ultrasonography Doppler; Risk AssessmentAtrial Fibrillation80 and over030212 general & internal medicineMyocardial infarctionStrokeDSAtherosclerosis; Atrial fibrillation; CHA(2)DS(2)-VASc score; Carotid plaque; Stroke; Vascular disease; Aged; Aged 80 and over; Ankle Brachial Index; Atrial Fibrillation; Carotid Artery Diseases; Female; Humans; Incidence; Italy; Male; Plaque Atherosclerotic; Retrospective Studies; Risk Factors; Survival Rate; Ultrasonography Doppler; Risk AssessmentCHA 2 DS 2 -VASc scorePlaqueAtheroscleroticUltrasonographyAged 80 and overIncidenceDopplerAtrial fibrillationCarotid plaquePlaque AtheroscleroticStrokeSurvival RateItalyAtherosclerosiCHA(2)DS(2)-VASc scoreCardiologyartherosclerosis; atrial fibrillation; carotid plaque; CHA2DS2-VASc score; stroke; vascular disease; aged; aged 80 and over; ankle brachial index; atrialf fibrillation; carotid artery diseases; female; humans; incidence; italy; male; plaque atherosclerotic; retrospective studies; risk factors; survival rate; ultrasonography doppler; risk assessment; cardiology and cardiovascular medicineFemaleSettore SECS-S/01 - StatisticaCardiology and Cardiovascular MedicineHumanmedicine.medical_specialtyCHA2DS2-VASc score2Atherosclerosis; Atrial fibrillation; Carotid plaque; CHA 2 DS 2 -VASc score ; Stroke; Vascular disease; Aged; Aged 80 and over; Ankle Brachial Index; Atrial Fibrillation; Carotid Artery Diseases; Female; Humans; Incidence; Italy; Male; Plaque Atherosclerotic; Retrospective Studies; Risk Factors; Survival Rate; Ultrasonography Doppler; Risk Assessment; Cardiology and Cardiovascular MedicineSocio-culturaleVascular diseaseRisk Assessment-VASc score03 medical and health sciencesInternal medicinemedicineHumansAnkle Brachial Indexcardiovascular diseasesRisk factorSurvival rateAgedRetrospective StudiesCarotid Artery DiseaseVascular diseasebusiness.industryRisk FactorUltrasonography Dopplermedicine.diseaseAtherosclerosisartherosclerosisCHA2DS2–VASc scoreCHAAtherosclerosis; Atrial fibrillation; Carotid plaque; CHA; 2; DS; 2; -VASc score; Stroke; Vascular diseasebusiness
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Unreliable predictions about COVID‐19 infections and hospitalizations make people worry: The case of Italy

2021

Computer modeling &ltmedicine.medical_specialty2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)BioinformaticsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)media_common.quotation_subjectcomputer modeling < biostatistics & bioinformatics; epidemiology; statistical inference < biostatistics & bioinformaticsMEDLINEVirologycomputer modeling < biostatistics & bioinformaticsEpidemiologyHumansMedicineLetters to the EditorIntensive care medicineLetter to the Editormedia_commonSARS-CoV-2business.industryCommunicationBiostatistics &ampCOVID-19Computer modeling &lt; Biostatistics &amp; Bioinformaticsstatistical inference < biostatistics & bioinformaticsVirologyInfectious DiseasesItalyStatistical inference &lt; Biostatistics &amp; BioinformaticsepidemiologyWorrySettore SECS-S/01businessForecastingJournal of Medical Virology
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Estimating COVID-19-induced Excess Mortality in Lombardy, Italy.

2022

We compare the expected all-cause mortality with the observed one for different age classes during the pandemic in Lombardy, which was the epicenter of the epidemic in Italy. The first case in Italy was found in Lombardy in early 2020, and the first wave was mainly centered in Lombardy. The other three waves, in Autumn 2020, March 2021 and Summer 2021 are also characterized by a high number of cases in absolute terms. A generalized linear mixed model is introduced to model weekly mortality from 2011 to 2019, taking into account seasonal patterns and year-specific trends. Based on the 2019 year-specific conditional best linear unbiased predictions, a significant excess of mortality is estima…

AgingSurveillanceSARS-CoV-2Short CommunicationCOVID-19Excess mortalityAll-cause mortalitySettore MED/01 - Statistica MedicaItalyAll-cause mortality; COVID-19; Excess mortality; Surveillance; Humans; Italy; Linear Models; Mortality; Pandemics; SARS-CoV-2; COVID-19Linear ModelsHumansGeriatrics and GerontologyMortalitySettore SECS-S/01Settore SECS-S/01 - StatisticaPandemics
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Predicting resistant etiology in hospitalized patients with blood cultures positive for Gram-negative bacilli

2018

Abstract Objective To develop a risk-scoring tool to predict multidrug-resistant (MDR) etiology in patients with bloodstream infections (BSI) caused by Gram-negative bacilli (GNB). Methods A prospective multicenter study analyzed patients with BSI hospitalized in 31 Internal Medicine wards in Italy from March 2012 to December 2012. Patients with BSI caused by MDR-GNB (non-susceptible to at least one agent in three antimicrobial categories) were compared to those with BSI due to susceptible GNB. A logistic regression to identify predictive factors of MDR-GNB was performed and the odds ratio (OR) were calculated. A score to predict the risk of MDR was developed. Results Of 533 BSI episodes, 2…

Male0301 basic medicineMultivariate analysisGram-negative bacilliHospitalized patientsLogistic regressionLikelihood ratios in diagnostic testingRisk FactorsDrug Resistance Multiple BacterialMedicineAge FactorMultidrug-resistantProspective StudiesMultivariate AnalysiAged 80 and overAge FactorsAnti-Bacterial AgentsHospitalizationItalyBloodstream infections; Gram-negative bacilli; Multidrug-resistantBloodstream infections; Gram-negative bacilli; Multidrug-resistant; Internal MedicineFemaleSettore SECS-S/01 - StatisticaHumanmedicine.medical_specialtyLogistic Model030106 microbiologyBloodstream infection03 medical and health sciencesInternal medicineAnti-Bacterial AgentGram-Negative BacteriaGram-Negative Bacterial InfectionInternal MedicineHumansAgedbusiness.industryRisk FactorGram negative bacilliOdds ratiomedicine.diseaseProspective StudieLogistic ModelsROC CurveBlood CultureBacteremiaMultivariate AnalysisEtiologyBloodstream infectionsGram-Negative Bacterial Infectionsbusiness
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Overall survival in mCPRC patients treated with Radium-223 in association with bone health agents: a national multicenter study

2020

Radium-223 has demonstrated efficacy in improving overall survival (OS) and in delaying symptomatic skeletal-related events (SREs). Bone Health Agents (BHA), i.e. RANK ligand inhibitor (Denosumab) and bisphosphonate such as zoledronic acid, are indicated to prevent SREs without a clear survival benefit. SREs on patient health have a high impact and it is, therefore, important to consider the role of new therapies with BHA to better understand the involvement of combination therapy. The primary aim of this multicentric study is to assess OS in mCRPC patients treated with Radium-223 in combination with BHA.430 consecutive patients treated with Radium-223 alone or in combination with BHA, affe…

MaleRadium-223Oncologymedicine.medical_specialtyRadium-223 dichlorideRadium-223 dichloride; bone health agents; mCRPC; overall survival; prostate canceroverall survivalBone healthBone and Bones030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineBone MarrowInternal medicinemedicineOverall survivalHumansRadiology Nuclear Medicine and imagingRadium-223 DichlorideNeoplasm MetastasisAgedL-Lactate DehydrogenaseRadiological and Ultrasound Technologybusiness.industrymCRPCAlkaline Phosphataseprostate cancermedicine.diseaseSurvival AnalysisRANK Ligand InhibitorProstatic Neoplasms Castration-ResistantDenosumabMulticenter studybone health agents030220 oncology & carcinogenesisSettore SECS-S/01businessRadiummedicine.drugInternational Journal of Radiation Biology
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Radium-223 in mCPRC patients: a large real-life Italian multicenter study

2020

Background Radium-223 is a targeted alpha-particles therapy approved for the treatment of mCRPC patients with symptomatic bone metastases. To our knowledge we account for the largest cohort of mCRPC patients subjected to Radium-223 treatment in our country. We aim to describe in a real-life setting the largest cohort of mCRPC patients treated with Radium-223 ever taken into consideration. Methods 430 consecutive mCRPC patients were enrolled. Clinical data have been collected at baseline and at the end of the Radium-223 treatment. Furthermore, the overall survival(OS) of our population has been provided. Results 157 patients (36.5%) were still alive at the time of data analysis. A mean numbe…

MaleRadium-223radium-223; mCRPC; prostate cancer; target alpha therapyPediatricsmedicine.medical_specialtyradium-223UrologyPopulationBone NeoplasmsContext (language use)Quality of lifemedicineHumanseducationeducation.field_of_studybusiness.industrymCRPCprostate cancerProstatic Neoplasms Castration-ResistantRegimenSafety profileTreatment OutcomeItalyMulticenter studyNephrologyCohortQuality of LifeSettore SECS-S/01businesstarget alpha therapyRadiummedicine.drugMinerva Urology and Nephrology
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An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

2020

Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…

FOS: Computer and information sciencesStatistics and ProbabilityTime FactorsOccupancyCoronavirus disease 2019 (COVID-19)Computer science01 natural sciencesGeneralized linear mixed modelSARS‐CoV‐2law.inventionclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensembleMethodology (stat.ME)panel data010104 statistics & probability03 medical and health sciences0302 clinical medicinelawCOVID‐19Intensive careEconometricsHumansclustered data030212 general & internal medicine0101 mathematicsPandemicsStatistics - MethodologySARS-CoV-2Reproducibility of ResultsCOVID-19General Medicineweighted ensembleIntensive care unitResearch PapersTerm (time)integer autoregressiveIntensive Care UnitsAutoregressive modelItalyNonlinear Dynamicsgeneralized linear mixed modelinteger autoregressive modelclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensemble; COVID-19; Humans; Intensive Care Units; Italy; Nonlinear Dynamics; Pandemics; Reproducibility of Results; Time Factors; ForecastingStatistics Probability and UncertaintySettore SECS-S/01Settore SECS-S/01 - StatisticaPanel dataResearch PaperForecasting
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Nowcasting COVID‐19 incidence indicators during the Italian first outbreak

2020

A novel parametric regression model is proposed to fit incidence data typically collected during epidemics. The proposal is motivated by real-time monitoring and short-term forecasting of the main epidemiological indicators within the first outbreak of COVID-19 in Italy. Accurate short-term predictions, including the potential effect of exogenous or external variables are provided. This ensures to accurately predict important characteristics of the epidemic (e.g., peak time and height), allowing for a better allocation of health resources over time. Parameter estimation is carried out in a maximum likelihood framework. All computational details required to reproduce the approach and replica…

FOS: Computer and information sciencesStatistics and ProbabilityNowcastingEpidemiologyComputer scienceCOVID-19 growth curves Richards’ equation SARS-CoV-2COVID-19; growth curves; Richards' equation; SARS-CoV-2; Disease Outbreaks; Humans; Incidence; Italy; SARS-CoV-2; COVID-19growth curvesStatistics - Applications01 natural sciencesSARS‐CoV‐2Disease Outbreaks010104 statistics & probability03 medical and health sciences0302 clinical medicineCOVID‐19StatisticsHumansApplications (stat.AP)030212 general & internal medicine0101 mathematicsResearch ArticlesParametric statisticsrichards' equationExternal variableDisease OutbreakSARS-CoV-2Estimation theorycovid-19; richards' equation; sars-cov-2; growth curvesIncidenceIncidence (epidemiology)COVID-19OutbreakRegression analysisReplicatesars-cov-2Richards' equationItalycovid-19Settore SECS-S/01Settore SECS-S/01 - StatisticaResearch Articlegrowth curveHuman
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Estimating COVID-19-induced Excess Mortality in Lombardy

2021

AbstractWe compare the expected all-cause mortality with the observed one for different age classes during the pandemic in Lombardy, which was the epicenter of the epidemic in Italy and still is the region most affected by the pandemic. A generalized linear mixed model is introduced to model weekly mortality from 2011 to 2019, taking into account seasonal patterns and year-specific trends. Based on the 2019 year-specific conditional best linear unbiased predictions, a significant excess of mortality is estimated in 2020, leading to approximately 35000 more deaths than expected, mainly arising during the first wave. In 2021, instead, the excess mortality is not significantly different from z…

Excess mortality2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicStatisticsBiologyGeneralized linear mixed model
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Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions

2021

Abstract We introduce an extended generalised logistic growth model for discrete outcomes, in which spatial and temporal dependence are dealt with the specification of a network structure within an Auto-Regressive approach. A major challenge concerns the specification of the network structure, crucial to consistently estimate the canonical parameters of the generalised logistic curve, e.g. peak time and height. We compared a network based on geographic proximity and one built on historical data of transport exchanges between regions. Parameters are estimated under the Bayesian framework, using Stan probabilistic programming language. The proposed approach is motivated by the analysis of bot…

Statistics and ProbabilityCoronavirus disease 2019 (COVID-19)Computer scienceNetwork structureGeographic proximityCOVID-19COVID-19; conditional auto-regressive; Stan; generalised logistic growthManagement Monitoring Policy and LawConditional Auto-RegressiveCOVID-19 Conditional Auto-Regressive Stan generalised logistic growthStanEconometricsIndependence (mathematical logic)Bayesian frameworkComputers in Earth SciencesLogistic functionProbabilistic programming languageSettore SECS-S/01 - StatisticaSettore SECS-S/01generalised logistic growth
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Effect of aspirin on renal disease progression in patients with type 2 diabetes: A multicenter, double-blind, placebo-controlled, randomized trial. T…

2017

Background Type 2 diabetes mellitus (T2DM) is one of the most common causes of chronic kidney disease and kidney failure. It has been estimated that the annual decline of estimated glomerular filtration rate (eGFR) among patients with T2DM is approximately 2.0-2.5 mL min−1 y−1. Cyclooxygenase-dependent eicosanoids, such as 11-dehydro-thromboxane (Tx)B2, are increased in T2DM patients and are potentially involved in the regulation of renal blood flow. Animal models showed that cyclooxygenase inhibitors, such as aspirin, are associated with improvements in renal plasma flow and eGFR values. Hypothesis The primary end point of the LEDA trial is to evaluate the 1-year decline of eGFR in T2DM pa…

Time Factorskidney disease030204 cardiovascular system & hematologylaw.invention0302 clinical medicineRandomized controlled triallawClinical endpointMedicineRenal Insufficiency030212 general & internal medicineChronicKidneyAspirinkidney disease progressionclinical trialtrialPrognosisType 2 diabetes mellituAspirin; Cyclooxygenase Inhibitors; Diabetes Mellitus Type 2; Disease Progression; Dose-Response Relationship Drug; Double-Blind Method; Follow-Up Studies; Glomerular Filtration Rate; Humans; Prognosis; Renal Insufficiency Chronic; Time Factors; Cardiology and Cardiovascular Medicinemedicine.anatomical_structureAspirin; Cyclooxygenase Inhibitors; Diabetes Mellitus; Type 2; Disease Progression; Dose-Response Relationship; Drug; Double-Blind Method; Follow-Up Studies; Glomerular Filtration Rate; Humans; Prognosis; Renal Insufficiency; Chronic; Time Factors; Cardiology and Cardiovascular MedicineDisease Progressiontype 2 diabetesDrugSettore SECS-S/01 - StatisticaCardiology and Cardiovascular MedicineType 2Glomerular Filtration Ratemedicine.drugmedicine.medical_specialtyUrologyRenal functionDose-Response Relationship03 medical and health sciencesDouble-Blind MethodDiabetes MellitusHumansCyclooxygenase InhibitorsRenal Insufficiency Chronickidney disease kidney disease progression type 2 diabetes aspirin trialDose-Response Relationship DrugAspirinbusiness.industryrenal functionmedicine.diseaseSurgeryClinical trialDiabetes Mellitus Type 2Renal blood flowbusinessFollow-Up StudiesKidney disease
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A two gene-based risk score predicts alcoholic cirrhosis development in males with at-risk alcohol consumption

2019

Rosellina Margherita Mancina,1,* Flaminia Ferri,2,* Alessio Farcomeni,3 Antonio Molinaro,1 Angela Maffongelli,4 Monica Mischitelli,2 Edoardo Poli,2 Lucia Parlati,5 Maria Antonella Burza,6 Adriano De Santis,2 Fabio Attilia,2 Claudia Rotondo,2 Maria Margherita Rando,2 Maria Luisa Attilia,2 Mauro Ceccanti,2 Stefano Ginanni Corradini2 1Department of Molecular and Clinical Medicine, The Sahlgrenska Academy at the University of Gothenburg, Wallenberg Laboratory, G&amp;ouml;teborg, Sweden; 2Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy; 3Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy; 4Department of Gener…

0301 basic medicineAlcoholic liver diseasemedicine.medical_specialtylcsh:QH426-470AlcoholGastroenterologyPredictive score03 medical and health scienceschemistry.chemical_compound0302 clinical medicineInternal medicinemedicineGeneticsAllelePNPLA3Genetics (clinical)Original Researchlcsh:R5-920Framingham Risk ScoreReceiver operating characteristicbusiness.industryIncidence (epidemiology)Alcoholic cirrhosis; CD14; PNPLA3; Predictive score; Genetics; Genetics (clinical)medicine.diseaselcsh:Genetics030104 developmental biologyAlcoholic cirrhosischemistryThe Application of Clinical Geneticsbusinesslcsh:Medicine (General)Settore SECS-S/01 - StatisticaCD14Body mass index030217 neurology & neurosurgeryTM6SF2The Application of Clinical Genetics
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Primary Radical Prostatectomy or Ablative Radiotherapy as Protective Factors for Patients With mCRPC Treated With Radium-223 Dichloride: An Italian M…

2020

Abstract Background We investigated, in a real-life setting, the prognostic relevance of previous primary treatment (radical prostatectomy [RP] or external beam radiotherapy [EBRT]) on overall survival for patients with metastatic castration-resistant prostate cancer (mCRPC) treated with radium-223 (223Ra). Materials and Methods In the present multicenter retrospective study, we enrolled 275 consecutive patients. The demographic and clinical data and mCRPC characteristics were recorded and evaluated at baseline and at the end of treatment or progression. 223Ra was administered according to the current label authorization until disease progression or unacceptable toxicity. We divided the who…

Malemedicine.medical_specialtyUrologymedicine.medical_treatmentoverall survivalBrachytherapy030232 urology & nephrologyUrology223-ra03 medical and health sciencesProstate cancer0302 clinical medicineAblative casemedicineHumansExternal beam radiotherapyradiotherapyAgedRetrospective StudiesAged 80 and overProstatectomyRadioisotopesbusiness.industryProstatectomyRetrospective cohort studymCRPCMiddle AgedProtective Factorsmedicine.diseasePrognosisCombined Modality TherapyRadiation therapySurvival RateProstatic Neoplasms Castration-ResistantOncologyMulticenter study223-ra; mCRPC; prostatectomy; radiotherapy; overall survivalItaly030220 oncology & carcinogenesisCohortDisease ProgressionbusinessSettore SECS-S/01Follow-Up StudiesRadium
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