0000000000388218

AUTHOR

Matteo Puntoni

showing 5 related works from this author

Enteral tube feeding and mortality in hospitalized older patients: A multicenter longitudinal study

2020

Background & aims: The literature regarding enteral nutrition and mortality in older frail people is limited and still conflicting. Moreover, the potential role of comprehensive geriatric assessment is poorly explored. We therefore aimed to investigate whether the Multidimensional Prognostic Index (MPI), an established tool that assesses measures of frailty and predicts mortality, may help physicians in identifying patients in whom ETF (enteral tube feeding) is effective in terms of reduced mortality. Methods: Observational, longitudinal, multicenter study with one year of follow-up. Data regarding ETF were recorded through medical records. A standardized comprehensive geriatric assessm…

Male0301 basic medicinemedicine.medical_specialtyLongitudinal studyPrognosis.030209 endocrinology & metabolismCritical Care and Intensive Care MedicineHospital03 medical and health sciences0302 clinical medicineMultidimensional prognostic indexOdds RatiomedicineRisk of mortalityHumansLongitudinal StudiesMortalityAgedEnteral Tube FeedingAged 80 and overInpatients030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryMedical recordAustraliaOdds ratioConfidence intervalEuropeParenteral nutritionEmergency medicinePropensity score matchingFemaleEnteral nutritionbusinessClinical Nutrition
researchProduct

Development and Validation of a Self-Administered Multidimensional Prognostic Index to Predict Negative Health Outcomes in Community-Dwelling Persons

2019

The multidimensional prognostic index (MPI) is a comprehensive geriatric assessment (CGA)-based tool that accurately predicts negative health outcomes in older subjects with different diseases and settings. To calculate the MPI several validated tools are assessed by health care professionals according to the CGA, whereas self-reported information by the patients is not available, but it could be of importance for the early identification of frailty. We aimed to develop and validate a self-administered MPI (SELFY-MPI) in community-dwelling subjects. For this reason, we enrolled 167 subjects (mean age = 67.3, range = 20-88 years, 51% = men). All subjects underwent a CGA-based assessment to c…

Male0301 basic medicineGerontologySelf-assessmentendocrine systemAgingIndex (economics)Self AdministrationHealth outcomes03 medical and health sciences0302 clinical medicineall-cause mortality risk factor multidimensional prognostic index self-assessment comprehensive geriatric assessment socioeconomic analysissocioeconomic analysisActivities of Daily LivingHumansMedicineRisk factorAgedAged 80 and overbusiness.industryGeriatric assessmentOriginal ArticlesMiddle Agedcomprehensive geriatric assessmentPrognosisself-assessmentmultidimensional prognostic index030104 developmental biologyrisk factorSelf-Administeredall-cause mortalityFemaleIndependent LivingPublic HealthGeriatrics and Gerontologybusiness030217 neurology & neurosurgeryAll cause mortality
researchProduct

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

EğitimSocial Sciences and HumanitiesInformation Security and ReliabilitySocial Sciences (SOC)Sosyal Bilimler ve Beşeri BilimlerEpidemiologyEDUCATION & EDUCATIONAL RESEARCHTemel Bilimler (SCI)BİLGİSAYAR BİLİMİ BİLGİ SİSTEMLERİMATHEMATICSSociology[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesProspective StudiesCOMPUTER SCIENCE INFORMATION SYSTEMSSTATISTICS & PROBABILITYMatematikBilgisayar Bilimi UygulamalarıComputer SciencesBilgi Güvenliği ve GüvenilirliğiEĞİTİM VE EĞİTİM ARAŞTIRMASIBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİBilgi sistemiComputer Science ApplicationsKütüphane ve Bilgi BilimleriHospitalizationNatural Sciences (SCI)Physical SciencesEngineering and TechnologySosyal Bilimler (SOC)Bilgisayar BilimiStatistics Probability and UncertaintyInformation SystemsHumanStatistics and ProbabilityHumans; Pandemics; Prospective Studies; SARS-CoV-2; COVID-19; HospitalizationSOCIAL SCIENCES GENERALLibrary and Information SciencesEducationSDG 3 - Good Health and Well-beingLibrary SciencesINFORMATION SCIENCE & LIBRARY SCIENCEİstatistik ve OlasılıkHumansSosyal ve Beşeri BilimlerBilgisayar BilimleriSocial Sciences & HumanitiesEngineering Computing & Technology (ENG)SosyolojiPandemicsPandemicSARS-CoV-2İSTATİSTİK & OLASILIKCOVID-19Mühendislik Bilişim ve Teknoloji (ENG)İstatistik Olasılık ve BelirsizlikSosyal Bilimler GenelCOMPUTER SCIENCEProspective StudieFizik BilimleriViral infectionMühendislik ve TeknolojiKütüphanecilik
researchProduct

The Multidimensional Prognostic Index Predicts Falls in Older People: An 8-Year Longitudinal Cohort Study of the Osteoarthritis Initiative

2020

Objectives: Falls are associated with several negative outcomes. Early identification of those who are at risk of falling is of importance in geriatrics, and comprehensive geriatric assessment (CGA) seems to be promising in this regard. Therefore, the present study investigated whether the multidimensional prognostic index (MPI), based on a standard CGA, is associated with falls in the Osteoarthritis Initiative (OAI). Design: Longitudinal, 8 years of follow-up. Setting and participants: Community-dwelling older people (≥65 years of age) with knee osteoarthritis or at high risk for this condition. Methods: A standardized CGA including information on functional, nutritional, mood, comorbiditi…

Gerontologymedicine.medical_specialtyfallPoison controlLogistic regressionArticleCohort Studies03 medical and health sciences0302 clinical medicineQuality of lifeRisk FactorsOsteoarthritisInjury preventionmedicineHumansLongitudinal Studies030212 general & internal medicineGeriatric AssessmentGeneral NursingAgedGeriatricsbusiness.industryHealth PolicyOsteoarthritis initiativeGeneral MedicineOdds ratiocomprehensive geriatric assessmentPrognosismultidimensional prognostic indexConfidence intervalMoodQuality of LifeFemaleGeriatrics and Gerontologybusiness030217 neurology & neurosurgeryJournal of the American Medical Directors Association
researchProduct

The value of open-source clinical science in pandemic response

2021

International audience

Biomedical Research[SDV]Life Sciences [q-bio]Clinical scienceGlobal HealthCorrectionsMicrobiology1117 Public Health and Health Services1108 Medical MicrobiologyPandemicEconomicsHumansISARIC Clinical Characterisation GroupPandemicsCOVID-19/epidemiologyActuarial scienceInformation DisseminationSARS-CoV-2CommentISARICCOVID-191103 Clinical SciencesCommunicable Disease Control/methodsInfectious DiseasesOpen sourceCommunicable Disease ControlCOVID-19; Communicable Disease Control; Global Health; Humans; SARS-CoV-2; Biomedical Research; Information Dissemination; PandemicsValue (mathematics)HumanThe Lancet Infectious Diseases
researchProduct