Search results for "in-hospital mortality"

showing 10 items of 17 documents

Post-Infectious Myocardial Infarction: New Insights for Improved Screening

2019

Acute infection is suspected of involvement in the onset of acute myocardial infarction (MI). We aimed to assess the incidence, pathogenesis and prognosis of post-infectious MI. All consecutive patients hospitalized for an acute MI in coronary care units were prospectively included. Post-infectious MI was defined by a concurrent diagnosis of acute infection at admission. Type 1 MI (acute plaque disruption) or Type 2 MI (imbalance in oxygen supply/demand) were adjudicated according to the universal definition of MI. From the 4573 patients admitted for acute MI, 466 (10%) had a concurrent acute infection (median age 78 (66–85) y, 60% male), of whom 313 (67%) had a respiratory tract infection.…

Acute coronary syndromemedicine.medical_specialtylcsh:Medicine030204 cardiovascular system & hematologyType 2 myocardial infarctionelderlyArticleacute coronary syndromeSepsisPathogenesissepsis03 medical and health sciences0302 clinical medicineInternal medicinemedicinepneumonia030212 general & internal medicineMyocardial infarctionbusiness.industryIncidence (epidemiology)lcsh:Rpulmonary tract infectionGeneral MedicineOdds ratiomedicine.diseaseConfidence intervalinfectionPneumoniabusinessin-hospital mortalityJournal of Clinical Medicine
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Gender-differences in disease distribution and outcome in hospitalized elderly: data from the REPOSI study.

2014

none 330 Women live longer and outnumber men. On the other hand, older women develop more chronic diseases and conditions such as arthritis, osteoporosis and depression, leading to a greater number of years of living with disabilities. The aim of this study was to describe whether or not there are gender differences in the demographic profile, disease distribution and outcome in a population of hospitalized elderly people.Retrospective observational study including all patients recruited for the REPOSI study in the year 2010. Analyses are referred to the whole group and gender categorization was applied.A total of 1380 hospitalized elderly subjects, 50.5\% women and 49.5\% men, were conside…

GerontologyMaleActivities of daily livingSettore MED/09 - Medicina InternaGeriatric MedicineComorbidityDisease distribution; Elderly; Sex-gender difference; In-hospital mortalityDisease distribution; Elderly; In-hospital mortalityElderlyRetrospective StudieDisease distributionActivities of Daily Livinggender80 and overDepression (differential diagnoses)Aged 80 and overeducation.field_of_studyhospitalized elderlyDepressionMortality rateMedicine (all)gender hospitalization elderlyHospitalizationIn-hospital mortalityItalyoutcomeGeriatric Depression ScaleFemaleInpatientHumanPopulationGender-differencesex-gender differencesFollow-Up StudieCognition DisorderDisease distributionmedicineInternal MedicineDisease distribution; Elderly; In-hospital mortality; Sex-gender difference; Aged; Aged; 80 and over; Chronic Disease; Cognition Disorders; Comorbidity; Depression; Female; Follow-Up Studies; Geriatric Assessment; Hospitalization; Humans; Italy; Male; Morbidity; Retrospective Studies; Sex Distribution; Activities of Daily Living; Inpatients; Internal MedicineHumansDisease distribution; Elderly; In-hospital mortality; Sex-gender difference; Aged; Aged 80 and over; Chronic Disease; Cognition Disorders; Comorbidity; Depression; Female; Follow-Up Studies; Geriatric Assessment; Hospitalization; Humans; Italy; Male; Morbidity; Retrospective Studies; Sex Distribution; Activities of Daily Living; Inpatients; Internal MedicineSex DistributioneducationGeriatric AssessmentSex-gender differenceAgedRetrospective StudiesInpatientsbusiness.industrySettore MED/09 - MEDICINA INTERNARetrospective cohort studymedicine.diseaseComorbidityGender-differences; disease distribution; outcome; hospitalized elderlyIn-hospital mortalityElderlyMood disordersChronic DiseaseDisease distribution; Elderly; In-hospital mortality; Sex-gender difference; Aged; Aged 80 and over; Chronic Disease; Cognition Disorders; Comorbidity; Depression; Female; Follow-Up Studies; Geriatric Assessment; Hospitalization; Humans; Italy; Male; Morbidity; Retrospective Studies; Sex Distribution; Activities of Daily Living; Inpatientsdisease distribution; elderly; in-hospital mortality; sex-gender differencesMorbiditybusinessDisease distribution; Elderly; In-hospital mortality; Sex-gender difference; Aged; Aged 80 and over; Chronic Disease; Cognition Disorders; Comorbidity; Depression; Female; Follow-Up Studies; Geriatric Assessment; Hospitalization; Humans; Italy; Male; Morbidity; Retrospective Studies; Sex Distribution; Activities of Daily Living; Inpatients; Internal Medicine; Medicine (all)Cognition DisordersFollow-Up Studies
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Impact of Diabetes Mellitus and Its Comorbidities on Elderly Patients Hospitalized in Internal Medicine Wards: Data from the RePoSi Registry

2022

Background: Currently, diabetes represents the seventh leading cause of death worldwide, with a significant economic burden. The number and severity of comorbidities increase with age, and are identified as important determinants that influence the prognosis. We aimed to investigate comorbidities and outcomes in a cohort of hospitalized elderly patients affected by diabetes. Methods: In this observational study, we retrospectively analyzed data collected from the REgistro dei pazienti per lo studio delle POlipatologie e politerapie in reparti della rete Simi (RePoSi) registry. Socio-demographic, clinical characteristics, and laboratory findings were considered. The association between varia…

Leadership and Management1-year mortality cancer comorbidities diabetes heart rate in-hospital mortality male sex.Heart rateSocio-culturaleHealth InformaticscomorbiditiesArticleComorbiditiesHealth Information Managementdiabetes; comorbidities; heart rate; cancer; male sex; in-hospital mortality; 1-year mortalityheart ratecancer1-year mortality; Cancer; Comorbidities; Diabetes; Heart rate; In-hospital mortality; Male sexLS4_4Cancerdiabetesmale sexHealth PolicyDiabetesRMale sexIn-hospital mortality1-year mortalityMedicine1-year mortality Cancer Comorbidities Diabetes Heart rate In-hospital mortality Malein-hospital mortality
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The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008-2011.

2016

International audience; Background: In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country.Methods: The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied. A map of standardized mortality rates at the level of PMSI geographic codes was established. An exploratory analysis (principal component analysis followed by …

MaleDatabases FactualBusiness Management and Accounting(all)Health informatics0302 clinical medicineEpidemiology030212 general & internal medicineHospital MortalityStrokeAged 80 and overGeographyMortality rategbd 2013Middle Aged3. Good healthStrokeIn-hospital mortalityFemaleFranceComputer Science(all)trendsAdultmedicine.medical_specialtyGeneral Computer ScienceHealth geographyunited-statesprevalenceMEDLINEContext (language use)03 medical and health sciences[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologymedicineHumanscareAgedDemographydiseasebusiness.industrycigarette-smokingPublic healthResearchglobal burdenPublic Health Environmental and Occupational HealthPMSImedicine.diseaseyoung-adultsGeneral Business Management and Accountingtransient ischemic attackbusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyDemographyInternational journal of health geographics
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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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Polypharmacy, length of hospital stay, and in-hospital mortality among elderly patients in internal medicine wards. The REPOSI study

2011

PURPOSES: We evaluated the prevalence and factors associated with polypharmacy and investigated the role of polypharmacy as a predictor of length of hospital stay and in-hospital mortality. METHODS: Thirty-eight internal medicine wards in Italy participated in the Registro Politerapie SIMI (REPOSI) study during 2008. One thousand three hundred and thirty-two in-patients aged ≥65 years were enrolled. Polypharmacy was defined as the concomitant use of five or more medications. Linear regression analyses were used to evaluate predictors of length of hospital stay and logistic regression models for predictors of in-hospital mortality. Age, sex, Charlson comorbidity index, polypharmacy, and numb…

MaleSettore MED/09 - Medicina InternaMultivariate analysis030204 cardiovascular system & hematologyLogistic regressionCohort Studies0302 clinical medicineElderlyPrevalenceMedicinePharmacology (medical)Hospital MortalityProspective Studies030212 general & internal medicinePractice Patterns Physicians'Prospective cohort studyComputingMilieux_MISCELLANEOUSAged 80 and overHospital stayGeneral MedicineSettore MED/45 - Scienze Infermieristiche Generali Cliniche E Pediatriche3. Good healthHospitalizationIn-hospital mortalityItalyFemalelength of hospital stayCohort studymedicine.medical_specialtyDrug PrescriptionsElderly Hospital stay In-hospital mortality PolypharmacyElderly Polypharmacy Hospital stay In-hospital mortality03 medical and health sciencesInternal medicineInternal MedicineHumansAdverse effectAgedPharmacologyPolypharmacybusiness.industryOdds ratioConfidence intervalLogistic ModelsLinear ModelsSettore BIO/14 - FarmacologiaPolypharmacybusinesselderly; hospital stay; in-hospital mortality; length of hospital stay; polypharmacy
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Survival benefit from recent changes in management of men and women with ST-segment elevation myocardial infarction treated with percutaneous coronar…

2019

Background: Nowadays, the majority of patients with myocardial infarction with ST-segment elevation (STEMI) are treated with primary percutaneous coronary interventions (PCI). In recent years, there have been ongoing improvements in PCI techniques, devices and concomitant pharmacotherapy. However, reports on further mortality reduction among PCI-treated STEMI patients remain inconclusive. The aim of this study was to compare changes in management and mortality in PCI-treated STEMI patients between 2005 and 2011 in a real-life setting. Methods: Data on 79,522 PCI-treated patients with STEMI from Polish Registry of Acute Coronary Syndromes (PL-ACS) admitted to Polish hospitals between 2005 an…

MaleTime Factorsmedicine.medical_treatment030204 cardiovascular system & hematology0302 clinical medicinetemporal trendsRisk Factorstreatment strategyST segmentMyocardial infarctionHospital MortalityRegistriesPractice Patterns Physicians'Mortality rateGeneral MedicineMiddle AgedInterventional Cardiologysurgical procedures operativeTreatment OutcomePractice Guidelines as TopicCardiologyFemaleStentsGuideline AdherenceCardiology and Cardiovascular Medicinemedicine.medical_specialtyRisk Assessment03 medical and health sciencesPharmacotherapyPercutaneous Coronary InterventionSex FactorsInternal medicinemedicineHumanscardiovascular diseasesAcute Coronary SyndromeHealthcare DisparitiesAgedRetrospective Studiesbusiness.industryPercutaneous coronary interventionCardiovascular AgentsHealth Status Disparitiesmedicine.diseaseST-segment elevation myocardial infarctionConcomitantPropensity score matchingConventional PCI1-year mortalityST Elevation Myocardial InfarctionPolandbusinesssex-differencesin-hospital mortality
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Pattern of comorbidities and 1-year mortality in elderly patients with COPD hospitalized in internal medicine wards: data from the RePoSI Registry

2020

Currently, chronic obstructive pulmonary disease (COPD) represents the fourth cause of death worldwide with significant economic burden. Comorbidities increase in number and severity with age and are identified as important determinants that influence the prognosis. In this observational study, we retrospectively analyzed data collected from the RePoSI register. We aimed to investigate comorbidities and outcomes in a cohort of hospitalized elderly patients with the clinical diagnosis of COPD. Socio-demographic, clinical characteristics and laboratory findings were considered. The association between variables and in-hospital, 3-month and 1-year follow-up were analyzed. Among 4696 in-patient…

Malemedicine.medical_specialtyChronic ObstructiveCirrhosisSocio-culturaleComorbidity030204 cardiovascular system & hematologycomorbiditieselderlyPulmonary Disease03 medical and health sciencesPulmonary Disease Chronic Obstructive0302 clinical medicineInternal medicinemedicine80 and overCOPDHumans030212 general & internal medicineLS4_4RegistriesHospital MortalityCOPD comorbidities elderly internal medicine in-hospital mortality.Depression (differential diagnoses)Cause of deathAgedRetrospective Studies1-year mortality; 3-month mortality; COPD; comorbidities; elderly; internal medicine; in-hospital mortalityAged 80 and overCOPDbusiness.industry1-year mortality; 3-month mortality; COPD comorbidities elderly internal medicine in-hospital mortalitymedicine.diseaseIm - Original1-year mortality; 3-month mortality; COPD comorbidities elderly internal medicine in-hospital mortality; Aged; Aged 80 and over; Comorbidity; Female; Humans; Internal Medicine; Male; Pulmonary Disease Chronic Obstructive; Registries; Retrospective Studies; Hospital Mortalityinternal medicineClinical diagnosisCohortEmergency Medicine1-year mortality3-month mortalityCOPD comorbidities elderly internal medicine in-hospital mortality1-year mortality 3-month mortality COPD comorbidities elderly internal medicine in-hospital mortality.Observational studyFemalebusiness1 year mortalityin-hospital mortality
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Time Trends in Hospital-Referred Stroke and Transient Ischemic Attack: Results of a 7-Year Nationwide Survey in France

2010

<i>Background:</i> Nationwide evaluations of the burden of stroke are scarce. We aimed to evaluate trends in stroke and transient ischemic attack (TIA) hospitalization, in-hospital case fatality rates (CFRs) and mortality rates in France during 2000–2006. <i>Methods:</i> Hospitalizations for stroke and TIA were determined from National Hospital Discharge Diagnosis Records that used the International Classification of Disease, 10th revision, codes I60, I61, I63, I64, G45, G46. CFRs and mortality rates were estimated from the national death certificates database. <i>Results:</i> The total number of stays for stroke increased between 2000 and 2006 (88,371 vs…

Malemedicine.medical_specialtyPediatrics030204 cardiovascular system & hematologyStroke mortalityNationwide survey03 medical and health sciences0302 clinical medicineHealth care policyEpidemiologymedicineHumansOrganized stroke careLongitudinal Studiescardiovascular diseasesTransient ischemic attackStrokeAgedRetrospective StudiesAged 80 and overHospital stayIn hospital mortalityStroke epidemiologyTime trendsbusiness.industryRetrospective cohort studyLength of Staymedicine.diseaseHealth Surveysnervous system diseases3. Good healthHospitalizationSurvival RateStrokeIn-hospital mortalityNeurologyIschemic Attack TransientTissue Plasminogen ActivatorIncidence and mortality ratesFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieNeurology (clinical)FranceCardiology and Cardiovascular MedicinebusinessHospital stay030217 neurology & neurosurgery
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In-hospital outcomes and 5-year mortality following an acute myocardial infarction in patients with a history of cancer: Results from the French regi…

2019

Summary Background Cancer and acute myocardial infarction (AMI) have important prognostic consequences. Treatment of some cancers may affect coronary artery disease, myocardial function and/or AMI management. Whether the early and long-term mortality of patients with AMI differ according to their history of cancer remains questionable. Aims To determine in-hospital outcomes and 5-year mortality following AMI according to patient history of cancer. Methods The FAST-MI registry is a nationwide French survey collecting data on characteristics, management and outcomes of 3670 consecutive patients admitted for AMI during October 2005. Results Overall, 246/3664 patients (6.7%) admitted for an AMI…

Malemedicine.medical_specialtyTime Factors[SDV]Life Sciences [q-bio]Infarctus du myocardeAcute myocardial infarction030204 cardiovascular system & hematologyMortalitéRisk AssessmentCoronary artery disease03 medical and health sciences0302 clinical medicineRisk FactorsNeoplasmsInternal medicineMortalité hospitalière.medicineHumansMedical historyHospital MortalityProspective StudiesRegistries030212 general & internal medicineMyocardial infarctioncardiovascular diseasesRisk factorMortalityNon-ST Elevated Myocardial InfarctionAgedCancerAged 80 and overbusiness.industryST elevationHazard ratioGeneral MedicineOdds ratioMiddle Agedmedicine.disease3. Good healthHospitalization[SDV] Life Sciences [q-bio]In-hospital mortalityTreatment OutcomeCohortST Elevation Myocardial InfarctionFemaleFranceCardiology and Cardiovascular Medicinebusiness
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