Search results for " Logistic models"

showing 10 items of 60 documents

"Delirium Day": a nationwide point prevalence study of delirium in older hospitalized patients using an easy standardized diagnostic tool

2016

Background To date, delirium prevalence in adult acute hospital populations has been estimated generally from pooled findings of single-center studies and/or among specific patient populations. Furthermore, the number of participants in these studies has not exceeded a few hundred. To overcome these limitations, we have determined, in a multicenter study, the prevalence of delirium over a single day among a large population of patients admitted to acute and rehabilitation hospital wards in Italy. Methods This is a point prevalence study (called “Delirium Day”) including 1867 older patients (aged 65 years or more) across 108 acute and 12 rehabilitation wards in Italian hospitals. Delirium wa…

MaleCross-sectional studyHospitalized patientsPrevalence0302 clinical medicineSurveys and Questionnaires80 and overOdds RatioPrevalenceMedicine030212 general & internal medicineProspective StudiesProspective cohort studyMulticenterAcute hospital2. Zero hungerAged 80 and overMedicine(all)Medicine (all)Settore BIO/14General Medicine3. Good health4AT; Delirium; Hospital; Multicenter; Prevalence; Aged; Aged 80 and over; Cross-Sectional Studies; Delirium; Female; Humans; Inpatients; Italy; Logistic Models; Male; Odds Ratio; Prevalence; Prospective Studies; Surveys and QuestionnairesItalyFemalemedicine.symptomResearch ArticleRehabilitation hospitalmedicine.medical_specialty4AT; Delirium; Hospital; Multicenter; Prevalence; Aged; Aged 80 and over; Cross-Sectional Studies; Delirium; Female; Humans; Inpatients; Italy; Logistic Models; Male; Odds Ratio; Prevalence; Prospective Studies; Surveys and Questionnaires; Medicine (all)NO03 medical and health sciencesHospital4AT Delirium Hospital Multicenter Prevalence Aged Aged 80 and over Cross-Sectional Studies Delirium Female Humans Inpatients Italy Logistic Models Male Odds Ratio Prevalence Prospective Studies Surveys and Questionnairesmental disordersHumans4ATPsychiatry4AT; Delirium; Hospital; Multicenter; Prevalence;AgedInpatientsbusiness.industryDeliriumOdds ratio4AT; Delirium; Hospital; Multicenter; Prevalence; Medicine (all)Cross-Sectional StudiesLogistic ModelsEmergency medicineDeliriumDelirium; Prevalence; Hospital; Multicenter; 4ATbusiness030217 neurology & neurosurgery
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Prevalence of depressive symptoms among Italian medical students: The multicentre cross-sectional "PRIMES" study.

2020

Background Four percent of the world’s population suffers from depression, which is a major public health issue. Medical students are at risk, as their depressive symptoms (DS) prevalence is reported to be approximately 27% worldwide. Since few data on Italian medical students exist, this study aimed to estimate their DS prevalence and assess risk and protective factors. Methods The PRIMES was a multicentre cross-sectional study performed in 12 Italian medical schools. Questionnaires were self-reported and included 30 sociodemographic items and the Beck Depression Inventory-II (BDI-II). The primary outcome was the presence of DS (BDI-II score≥14). The main analyses were chi-squared tests an…

MaleEuropean PeopleStudents Medical020205 medical informaticsEconomicsphysiciansCross-sectional studySocial SciencesSex Factor02 engineering and technologyLogistic regressionmedicalSeverity of Illness IndexGeographical locations0302 clinical medicineSociologyRisk FactorsSurveys and QuestionnairesMedicine and Health Sciences0202 electrical engineering electronic engineering information engineeringEconomic StatusEthnicitiesSurveys and QuestionnaireMedicineAge Factor030212 general & internal medicineYoung adultSchools MedicalDepression (differential diagnoses)education.field_of_studySchoolsMultidisciplinaryCareersstudentsDepressionQAge FactorsREconomic StatuSports ScienceItalian PeopleEuropeItalyMedicineFemalephysician burnoutResearch ArticleHumanEmploymentAdultmedicine.medical_specialtyLogistic ModelSexual BehaviorSciencePopulationeducationAdult; Age Factors; Cross-Sectional Studies; Depression; Economic Status; Female; Humans; Italy; Logistic Models; Male; Risk Factors; Schools Medical; Self Report; Severity of Illness Index; Sex Factors; Sexual Behavior; Students Medical; Surveys and Questionnaires; Young AdultEducationYoung Adult03 medical and health sciencesSex FactorsMental Health and PsychiatrySeverity of illnessHumansEuropean UnionSports and Exercise MedicineeducationSocioeconomic statusAdult Age Factors Cross-Sectional Studies Depression Economic Status Female Humans Italy Logistic Models Male Risk Factors Schools Medical Self Report Severity of Illness Index Sex Factors Sexual Behavior Students Medical Surveys and Questionnaires Young AdultCross-Sectional StudieMood Disordersbusiness.industryRisk FactorPublic healthBiology and Life SciencesCross-Sectional StudiesLogistic ModelsMedical EducationLabor EconomicsFamily medicinePopulation Groupingsphysicians; students; medical; physician burnoutSelf ReportPeople and placesbusinessMedical HumanitiesPLoS ONE
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How radical prostatectomy procedures have changed over the last 10 years in Italy: a comparative analysis based on more than 1500 patients participat…

2020

Purpose Therapeutic strategies for prostate cancer (PCa) have been evolving dramatically worldwide. The current article reports on the evolution of surgical management strategies for PCa in Italy. Methods The data from two independent Italian multicenter projects, the MIRROR-SIU/LUNA (started in 2007, holding data of 890 patients) and the Pros-IT-CNR project (started in 2014, with data of 692 patients), were compared. Differences in patients' characteristics were evaluated. Multivariable logistic regression models were used to identify characteristics associated with robot-assisted (RA) procedure, nerve sparing (NS) approach, and lymph node dissection (LND). Results The two cohorts did not …

MaleNephrologymedicine.medical_specialtyTime FactorsUrologymedicine.medical_treatment030232 urology & nephrologyLymph node dissectionLogistic regression03 medical and health sciencesProstate cancer0302 clinical medicineInternal medicineLUNA studyBiopsyHumansMedicineProspective StudiesNerve sparingLymph nodeAgedProstatectomyProstate cancermedicine.diagnostic_testbusiness.industryProstatectomyMIRROR SIU/LUNA studyLymph node dissection MIRROR SIU/LUNA study Nerve sparing Pros-IT CNR study Prostate cancer Robotic proceduresProstatic NeoplasmsCancerPros-IT CNR studyMiddle Agedmedicine.diseaseMIRROR SIUDissectionRobotic proceduresLogistic Modelsmedicine.anatomical_structureItaly030220 oncology & carcinogenesisLymph node dissection; MIRROR SIU/LUNA study; Nerve sparing; Pros-IT CNR study; Prostate cancer; Robotic procedures; Aged; Humans; Italy; Logistic Models; Male; Middle Aged; Prospective Studies; Prostatectomy; Prostatic Neoplasms; Time FactorsLymph node dissection; MIRROR SIU/LUNA study; Nerve sparing; Pros-IT CNR study; Prostate cancer; Robotic proceduresbusiness
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Pain intensity as prognostic factor in cancer pain management

2015

Aim The aim of this study was to prospectively assess the prognostic value of initial pain intensity and its duration in advanced cancer patients. Methods A prospective study was conducted in a sample of patients with cancer requiring pain control. Patients underwent standard analgesic strategies used in our palliative care units. Pain intensity was measured at admission (T0) and after successful dose titration or opioid/route switching within a week (Ts). Patients were also asked about their pain intensity reported 15 days before admission (T-15). Doses of opioids and duration of opioid use were recorded. Patients were also assessed for the presence of incident pain, neuropathic pain, alco…

MalePalliative careSettore MED/42 - Igiene Generale E ApplicataSeverity of Illness IndexPain assessmentNeoplasms80 and overProspective StudiesCancer painProspective cohort studyCancerPain MeasurementAged 80 and overPrognostic factorAnalgesicsPalliative CareAssessment tools; Cancer; Cancer pain; Opioid; Opioid analgesics; Opioid response; Pain assessment; Pain intensity; Pain measurement; Prognostic factors; Aged; Aged 80 and over; Analgesics; Analgesics Opioid; Female; Humans; Logistic Models; Male; Middle Aged; Neoplasms; Neuralgia; Pain; Pain Management; Pain Measurement; Palliative Care; Prognosis; Prospective Studies; Stress Psychological; Treatment Outcome; Severity of Illness Index; Anesthesiology and Pain MedicineAssessment toolMiddle AgedPrognosisAnalgesics OpioidAssessment toolsTreatment OutcomeAnesthesiaNeuropathic painFemalemedicine.drugOpioid responsePain assessmentAnalgesicPainOpioidPain intensityPrognostic factorsStressOpioid analgesicAssessment tools; Cancer; Cancer pain; Opioid; Opioid analgesics; Opioid response; Pain assessment; Pain intensity; Pain measurement; Prognostic factors; Anesthesiology and Pain MedicinemedicineHumansPain ManagementAdverse effectAgedbusiness.industryAnesthesiology and Pain MedicineLogistic ModelsOpioidOpioid analgesicsPsychologicalNeuralgiaCancer painbusinessStress Psychological
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Paracetamol and antibiotics in childhood and subsequent development of wheezing/asthma: association or causation?

2011

Background Several studies found an association between early administration of paracetamol and antibiotics and development of wheezing. This could be due to confounding: wheeze and asthmatic symptoms in early childhood are difficult to distinguish from respiratory tract infections that are widely treated with these drugs; in case of persistence of symptoms up to school age, this could explain the observed relationship. Methods We investigated the association between paracetamol and antibiotics use in the first year of life and wheezing phenotypes, i.e. wheezing starting in different time periods (early, persistent and late-onset) in the SIDRIA-2 study, a cross-sectional survey of 16,933 ch…

MalePediatricsmedicine.medical_specialtyLogistic ModelAdolescentEpidemiologyCross-sectional studyRisk AssessmentFollow-Up StudieAge Distributionbias; causality; children; confounding factors; phenotypes; wheezingSurveys and QuestionnairesWheezeAnti-Bacterial AgentOdds RatiomedicineHumansAge of OnsetSex DistributionChildAcetaminophenRespiratory SoundsAsthmaCross-Sectional StudieRespiratory tract infectionsQuestionnairebusiness.industryIncidenceIncidence (epidemiology)Infant NewbornInfantGeneral MedicineOdds ratiomedicine.diseaseAsthmaConfidence intervalAnti-Bacterial AgentsCross-Sectional StudiesLogistic ModelsRespiratory Sounds; Odds Ratio; Questionnaires; Age of Onset; Humans; Infant Newborn; Asthma; Child; Italy; Risk Assessment; Age Distribution; Infant; Anti-Bacterial Agents; Cross-Sectional Studies; Logistic Models; Incidence; Follow-Up Studies; Adolescent; Sex Distribution; Male; Acetaminophen; FemaleItalyFemaleRespiratory Soundmedicine.symptomAge of onsetbusinessHumanFollow-Up StudiesInternational Journal of Epidemiology
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Nonalcoholic fatty liver and metabolic syndrome in Italy: Results from a multicentric study of the Italian Arteriosclerosis society

2013

Nonalcoholic fatty liver disease (NAFLD) is associated with all the components of metabolic syndrome (MS) and might to be considered an additional component of MS itself. The Italian Society for the Study of Atherosclerosis (SISA) in 2005 started a research project aimed to study the NAFLD, using ultrasound (US), in nondiabetic MS subjects matching at least one of the ATP III criteria for HDL-C or triglycerides [TG]. Prevalence of US-NAFLD and its associated risk factors and prevalence of hypertransaminasemia and its possible determinants were evaluated. NAFLD prevalence was 0.78. Men with steatosis compared to men without steatosis were younger (P < 0.05) with higher TG (P < 0.03), homeost…

MaleSettore MED/09 - Medicina InternaEndocrinology Diabetes and MetabolismNonalcoholic fatty liverSex FactorSettore MED/13 - EndocrinologiaBody Mass IndexEndocrinologyNon-alcoholic Fatty Liver DiseaseRisk FactorsNonalcoholic fatty liver diseaseAtherosclerosis; Metabolic Syndrome X; Sex Factors; Humans; Lipids; Aged; Fatty Liver; Non-alcoholic Fatty Liver Disease; Body Mass Index; Italy; Logistic Models; Risk Factors; Liver; Middle Aged; Female; MaleUltrasonographyMulticentric studyMetabolic Syndrome XFatty liverGeneral MedicineArteriosclerosisLipidMiddle AgedLipidsMetabolic syndromeDiabetes and MetabolismItalyLiverAtherosclerosiFemaleHumanmedicine.medical_specialtyLogistic ModelNonalcoholic fatty liver Metabolic syndrome Lipids Multicentric studyInsulin resistanceSex FactorsDiabetes mellitusInternal medicinemedicineInternal MedicineHumansLipids; Metabolic syndrome; Multicentric study; Nonalcoholic fatty liver; Aged; Body Mass Index; Fatty Liver; Female; Humans; Italy; Lipids; Liver; Logistic Models; Male; Metabolic Syndrome X; Middle Aged; Non-alcoholic Fatty Liver Disease; Risk Factors; Sex Factors; Atherosclerosis; Endocrinology; Internal Medicine; Endocrinology Diabetes and MetabolismAgedbusiness.industryRisk Factornutritional and metabolic diseasesAmbientalemedicine.diseaseAtherosclerosisFatty LiverEndocrinologyLogistic ModelsMetabolic syndromeSteatosisbusinessBody mass index
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Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort…

2021

Abstract Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for…

MaleShort term mortalityCritical Care and Intensive Care MedicineCohort Studies0302 clinical medicinekwetsbaarheidMedicine and Health Sciences80 and overMedicine610 Medicine &amp; healthProspective cohort studyCorrelation of Data11 Medical and Health SciencesAged 80 and overOUTCOMESIntensive care unitsFrailtyVIP1Aged&nbspMedical emergencies. Critical care. Intensive care. First aidScale (social sciences)Femaleprospectief onderzoekLife Sciences & BiomedicineCRITICALLY-ILL PATIENTS 80 and overStudy groupsmedicine.medical_specialtyAnestesi och intensivvård80 jaar en ouder610 Medicine & healthINTENSIVE-CAREBED AVAILABILITYNO03 medical and health sciencesCritical Care MedicineIntensive caresterfteGeneral & Internal MedicineHumansIntensive care units; Aged; 80 and over; Frailty; Prospective studies; MortalityIn patientddc:610Aged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies; Aged 80 and over; Cohort Studies; Correlation of Data; Female; Frailty; Humans; Intensive Care Units; Logistic Models; Male; Mortality; Prospective StudiesMortalityAgedScience & TechnologyAnesthesiology and Intensive Carebusiness.industryRC86-88.9Research030208 emergency & critical care medicineADULTSAged&nbsp;80 and over; Frailty; Intensive care units; Mortality; Prospective studies;Emergency & Critical Care MedicineLogistic Models030228 respiratory systemintensivecareafdelingenAged 80 and overCritical illnessEmergency medicineVIP2 study group&nbspCRITICAL ILLNESSbusinessProspective studies
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Prophylaxis of venous thromboembolism in elderly patients with multimorbidity

2013

none 327 si Pharmacological thromboprophylaxis (TP) is known to reduce venous thromboembolism (VTE) in medical inpatients, but the criteria for risk-driven prescription, safety and impact on mortality are still debated. We analyze data on elderly patients with multimorbidities admitted in the year 2010 to the Italian internal medicine wards participating in the REPOSI registry to investigate the rate of TP during the hospital stay, and analyze the factors that are related to its prescription. Multivariate logistic regression, area under the ROC curve and CART analysis were performed to look for independent predictors of TP prescription. Association between TP and VTE, bleeding and death in …

MaleTVPSettore MED/09 - Medicina InternaComorbidityLogistic regressionFondaparinuxVENOUS THROMBOEMBOLISM; THROMBOPROPHYLAXIS; Medical PatientsMedical patients; Thromboprophylaxis; Venous thromboembolism; Aged; Aged 80 and over; Area Under Curve; Comorbidity; Female; Hospital Mortality; Hospitalization; Humans; Logistic Models; Male; Propensity Score; Venous Thromboembolism; Internal Medicine; Emergency MedicineThromboprophylaxis Venous thromboembolism Medical patients80 and overHospital MortalityAged 80 and overSettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheMedical patients; Thromboprophylaxis; Venous thromboembolism; Aged; Aged; 80 and over; Area Under Curve; Comorbidity; Female; Hospital Mortality; Hospitalization; Humans; Logistic Models; Male; Propensity Score; Venous Thromboembolism; Internal Medicine; Emergency Medicineprophylaxis; venous thromboembolism; elderlyHospitalizationArea Under CurveEmergency MedicineFemaleprophylaxismedicine.drugVenous thromboembolismmedicine.medical_specialtyThromboprophylaxis; Venous thromboembolismmultimorbidityBarthel indexvenous thromboembolismMEDLINEMedical patients; Thromboprophylaxis; Venous thromboembolism; Aged; Aged 80 and over; Area Under Curve; Comorbidity; Female; Hospital Mortality; Hospitalization; Humans; Logistic Models; Male; Propensity Score; Venous Thromboembolism; Emergency Medicine; Internal Medicineelderly patientselderlyMedical patientsInternal medicineInternal MedicinemedicineHumansMedical prescriptionprophylaxis; venous thromboembolism; elderly patientsPropensity ScoreIntensive care medicineThromboprophylaxisAgedbusiness.industryprophylaxiMedical patients; Thromboprophylaxis; Venous thromboembolismprophylaxis; Venous thromboembolism; Elderly; multimorbidity; medical patients; thromboprophylaxismedicine.diseaseComorbidityLogistic ModelsPropensity score matchingbusinessVenous thromboembolism
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Genotypic resistance profiles associated with virological failure to darunavir-containing regimens: a cross-sectional analysis.

2012

Introduction: This study aimed at defining protease (PR) resistance mutations associated with darunavir (DRV) failure and PR resistance evolution at DRV failure in a large database of treatment-experienced human immunodeficiency virus (HIV) patients. Results: Overall, 1,104 patients were included: 118 (10.7%) failed at a median observation time of 16 months. The mean number of PR mutations at baseline was 2.7, but it was higher in patients who subsequently failed DRV. In addition, the number of PR mutations increased at failure. The increase in the mean number of mutations was completely related to mutations considered to be associated with DRV resistance following the indications of the ma…

MaleTime FactorsCross-sectional studyHuman immunodeficiency virus (HIV)Drug ResistanceHIV InfectionsDrug resistancemedicine.disease_causeCohort StudiesAntiretroviral Therapy Highly ActiveRitonavir-boosted darunavirGenotypeHIV InfectionTreatment FailureViralGenotypic resistanceDarunavirSulfonamidesGeneral MedicineMiddle AgedVirological failureInfectious DiseasesFemaleHumanmedicine.drugAdultMicrobiology (medical)Logistic ModelTime FactorGenotypeAntiretroviral TherapySettore MED/17 - MALATTIE INFETTIVESulfonamideDrug Resistance ViralmedicineHumansHighly ActiveDarunavir; Genotypic resistance; Protease inhibitors; Ritonavir-boosted darunavir; Adult; Antiretroviral Therapy Highly Active; Cohort Studies; Cross-Sectional Studies; Female; Genotype; HIV Infections; HIV Protease Inhibitors; HIV-1; Humans; Logistic Models; Male; Middle Aged; Mutation; Sulfonamides; Time Factors; Treatment Failure; Drug Resistance Viral; Microbiology (medical); Infectious DiseasesHIV Protease InhibitorDarunavirCross-Sectional Studiebusiness.industryHIV Protease InhibitorsProtease inhibitorsAntiretroviral therapyVirologyCross-Sectional StudiesLogistic ModelsProtease inhibitorMutationGenotypic resistanceHIV-1Cohort Studiebusiness
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Papillary muscle relocation in conjunction with valve annuloplasty improve repair results in severe ischemic mitral regurgitation

2012

OBJECTIVE: The incidence of recurrent mitral regurgitation (MR) after restrictive annuloplasty (RA) was 5% to 20% in several reports. There are many opinions in favor of adding subvalvular procedures to RA to reduce the tenting forces and improve the repair results. METHODS: From March 2003 to May 2010, 55 patients with severe ischemic MR who had undergone papillary muscle (PPM) relocation in conjunction with mitral annuloplasty in our institutions were enrolled. The patients were matched 1:1 with those who underwent isolated RA using the propensity score. The mean left ventricular ejection fraction was 42% ± 6%. The mean tenting area and coaptation depth was 3.2 ± 0.6 cm(2) and 1.3 ± 0.2 c…

MaleTime FactorsMitral Valve AnnuloplastyLeftMyocardial IschemiaKaplan-Meier EstimateSeverity of Illness IndexVentricular Function LeftPapillary muscle annuloplasty mitral regurgitationPostoperative ComplicationsRisk FactorsMitral valve annuloplastyAged; Chi-Square Distribution; Disease-Free Survival; Female; Hospital Mortality; Humans; Italy; Kaplan-Meier Estimate; Logistic Models; Male; Matched-Pair Analysis; Middle Aged; Mitral Valve Insufficiency; Myocardial Ischemia; Papillary Muscles; Postoperative Complications; Propensity Score; Proportional Hazards Models; Risk Assessment; Risk Factors; Secondary Prevention; Severity of Illness Index; Stroke Volume; Time Factors; Treatment Outcome; Ventricular Function Left; Mitral Valve AnnuloplastySecondary PreventionClinical endpointVentricular FunctionHospital MortalityMyocardial infarctionEjection fractionIncidence (epidemiology)Mitral Valve InsufficiencyMiddle AgedPapillary MusclesTreatment Outcomemedicine.anatomical_structureItalyCardiologyFemaleCardiology and Cardiovascular MedicinePulmonary and Respiratory Medicinemedicine.medical_specialtyMatched-Pair AnalysisRisk AssessmentDisease-Free SurvivalInternal medicinemedicineHumansPropensity ScorePapillary muscleAgedProportional Hazards ModelsMitral regurgitationChi-Square Distributionbusiness.industryStroke VolumeSettore MED/23 - Chirurgia Cardiacamedicine.diseaseSurgeryLogistic ModelsPropensity score matchingSurgerybusiness
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