Search results for "Patient Readmission"

showing 10 items of 46 documents

Impact of frailty and atrial fibrillation in elderly patients with acute coronary syndromes

2021

Background: There is scarce information on the prognostic role of frailty and Atrial Fibrillation (AF) in elderly patients Acute Coronary Syndrome (ACS). Methods: The aim was to analyse the management of elderly patients with frailty and AF who suffered an ACS using data of the prospective multicentre LONGEVO-SCA registry. We evaluated the predictive performance of FRAIL, Charlson scores and AF status for adverse events at 6 months follow-up. Results: A total of 531 unselected patients with ACS and above 80 years old [mean age 84.4 (SD=3.6) years; 322 (60.6%) male] were enrolled, of whom 128 (24.1%) with AF and 145 (27.3%) with frailty. Mutually exclusive number of patients were as follows:…

MaleAcute coronary syndromemedicine.medical_specialtyEnfermedad cardiovascularAncianoClinical BiochemistryCharlson indexComorbidity030204 cardiovascular system & hematologyMutually exclusive eventsPatient ReadmissionSeverity of Illness IndexBiochemistry03 medical and health sciences0302 clinical medicineInternal medicineAtrial FibrillationDiabetes MellitusMyocardial RevascularizationmedicineHumansCognitive DysfunctionSinus rhythm030212 general & internal medicineAcute Coronary SyndromeMortalityAdverse effectAnciano frágilAgedProportional Hazards ModelsAged 80 and overHeart FailureFibrilación atrialFrailtybusiness.industryInsuficiencia cardíacaAtrial fibrillationMean ageGeneral Medicinemedicine.diseaseStrokeFunctional StatusCardiovascular DiseasesCardiologyFemaleFunctional statusbusinessEuropean Journal of Clinical Investigation
researchProduct

Effect of acute heart failure following discharge in patients with non-ST-elevation acute coronary syndrome on the subsequent risk of death or acute …

2010

Little is known about how prognosis is influenced by readmission for acute heart failure (AHF) following non-ST-segment elevation acute coronary syndrome (NSTEACS). The aim of this study was to determine the prognostic effect of a first admission for AHF on the risk of acute myocardial infarction (AMI) or death in patients who survived an episode of high-risk NSTEACS.The study involved 972 consecutive patients with high-risk NSTEACS who survived after hospital admission. Readmission for AHF was selected as the main exposure variable, and its association with subsequent AMI or all-cause death was assessed using Cox proportional hazards models for time-dependent covariates that also included …

MaleAcute coronary syndromemedicine.medical_specialtyMyocardial InfarctionPatient ReadmissionInterquartile rangeRisk FactorsInternal medicineMedicineHumansMyocardial infarctionProspective StudiesAcute Coronary SyndromeProspective cohort studyAgedHeart Failurebusiness.industryProportional hazards modelST elevationHazard ratioGeneral Medicinemedicine.diseasePrognosisPatient DischargeHeart failureAcute DiseaseCardiologyFemalebusinessRevista espanola de cardiologia
researchProduct

Percutaneous coronary intervention and recurrent hospitalizations in elderly patients with non ST-segment acute coronary syndrome: The role of frailty

2017

MaleAcute coronary syndromemedicine.medical_specialtyTime FactorsFrail Elderlymedicine.medical_treatment030204 cardiovascular system & hematologyCoronary AngiographyPatient ReadmissionElectrocardiography03 medical and health sciencesPercutaneous Coronary Intervention0302 clinical medicineInternal medicinemedicineHumansST segmentProspective Studies030212 general & internal medicineAcute Coronary SyndromeAgedbusiness.industryPercutaneous coronary interventionmedicine.diseaseTreatment OutcomeConventional PCICardiologyFemaleCardiology and Cardiovascular MedicinebusinessFollow-Up StudiesInternational Journal of Cardiology
researchProduct

Application of screening tools to detect risk of hospital readmission in elderly patients in Valencian Healthcare System (VHS) (Spain).

2013

Abstract The Sustainable Social and Healthcare Model (SSHM) is aimed to establish new care pathways in primary care systems contributing to the decrease of health services use and costs and improve the integration and efficiency of social and health care for elderly people with long-term care (LTC) needs. One of these strategies is the segmentation of population in risk groups through standardized tools. This paper is a retrospective study aimed to determine the viability of the implementation of the screening tools Probability of Repeated Admission – Pra – and The Community Assessment Risk Screen – CARS – to detect patients at risk of hospital readmission in a sample of 500 elderly people …

MaleAgingHealth (social science)PopulationPatient ReadmissionSensitivity and SpecificityValencianHealth administrationRisk FactorsHealth careMedicineHumansScreening tooleducationGeriatric AssessmentDecision Making OrganizationalAgedProbabilityRetrospective StudiesAged 80 and overHospital readmissioneducation.field_of_studyHealth Services Needs and Demandbusiness.industryRetrospective cohort studymedicine.diseaseLong-Term Carelanguage.human_languageHospitalizationSpainlanguageFemaleMedical emergencyGeriatrics and GerontologybusinessGerontologyDelivery of Health CareHealthcare systemArchives of gerontology and geriatrics
researchProduct

Digoxin and prognosis of heart failure in older patients with preserved ejection fraction: Importance of heart rate. Results from an observational an…

2018

Abstract Background The value of digoxin in heart failure (HF) remains controversial, particularly in patients with preserved ejection fraction (HFpEF). This study evaluated the 1-year risk of events after digoxin treatment for acute heart failure (AHF) in patients >70 years old with HFpEF. Methods 1833 patients were included in this analysis (mean age, 82 years). The main endpoints were all-cause death and the composite of death and/or HF re-admission within 1 year. Cox regression analysis was used to evaluate the association between digoxin treatment and prognosis. Results 401 patients received digoxin treatment; of these, 86% had atrial fibrillation. The mean baseline heart rate was 86 ±…

MaleDigoxinmedicine.medical_specialtyCardiotonic AgentsDigoxin030204 cardiovascular system & hematologyPatient Readmission03 medical and health sciences0302 clinical medicineOlder patientsHeart RateRisk FactorsCause of DeathInternal medicineAtrial FibrillationHeart rateInternal MedicinemedicineHumansProspective StudiesRegistries030212 general & internal medicineAgedProportional Hazards ModelsAged 80 and overHeart FailureEjection fractionProportional hazards modelbusiness.industryStroke VolumeAtrial fibrillationPrognosismedicine.diseasePatient DischargeSpainHeart failureMultivariate AnalysisCardiologyFemaleObservational studybusinessmedicine.drugEuropean Journal of Internal Medicine
researchProduct

The palliative-supportive care unit in a comprehensive cancer center as crossroad for patients' oncological pathway

2016

Aim The aim of this study was to assess how an admission to an acute palliative-supportive care unit (APSCU), may influence the therapeutic trajectory of advanced cancer patients. Methods A consecutive sample of advanced cancer patients admitted to APCU was assessed. The following parameters were collected: patients demographics, including age, gender, primary diagnosis, marital status, and educational level, performance status and reasons for and kind of admission, data about care-givers, recent anticancer treatments, being on/off treatment or uncertain, the previous care setting, who proposed the admission to APSCU. Physical and psychological symptoms were evaluated at admission and at ti…

MaleGenetics and Molecular Biology (all)Palliative careCancer Treatmentlcsh:MedicineMedicine (all); Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)ToxicologyPathology and Laboratory MedicineBiochemistryCONSECUTIVE SAMPLE0302 clinical medicineNeoplasmsMedicine and Health SciencesMedicine030212 general & internal medicinelcsh:ScienceAnalgesicsMultidisciplinaryPharmaceuticsMedicine (all)Palliative CareHormonal TherapyDrugsHospitalsPatient DischargeHospitalizationOncologyCritical Pathway030220 oncology & carcinogenesisCritical PathwaysMarital statusHormonal therapyFemaleOff TreatmentEnd-of-life careResearch ArticleHumanmedicine.medical_specialtyPatientsAged; Analgesics; Female; Follow-Up Studies; Hospitalization; Humans; Male; Neoplasms; Patient Discharge; Patient Readmission; Cancer Care Facilities; Critical Pathways; Palliative Care; Medicine (all); Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)Cancer Care FacilitiesPatient ReadmissionFollow-Up Studie03 medical and health sciencesDrug TherapyPain ManagementHumansIntensive care medicineAgedPharmacologyBiochemistry Genetics and Molecular Biology (all)ToxicityPerformance statusCancer Care Facilitiebusiness.industrylcsh:RBiology and Life SciencesCancermedicine.diseaseHealth CareOpioidsAgricultural and Biological Sciences (all)Health Care FacilitiesEmergency medicineNeoplasmlcsh:QAnalgesicbusinessFollow-Up Studies
researchProduct

Prevalence and prognostic implications of active cytomegalovirus infection in patients with acute heart failure

2010

AHF (acute heart failure) causes significant morbidity and mortality. Recent studies have postulated that the expression of inflammatory mediators, such as cytokines and chemokines, plays an important role in the development and progression of heart failure. A pro-inflammatory state has been postulated as a key factor in triggering CMV (cytomegalovirus) reactivation. Therefore we sought to determine the prevalence of active CMV infection in immunocompetent patients admitted for AHF and to quantify the association with the risk of the combined end point of death or AHF readmission. A total of 132 consecutive patients admitted for AHF were enrolled in the present study. Plasma CMV DNAaemia wa…

MaleHuman cytomegalovirusmedicine.medical_specialtyHeart diseaseCytomegalovirus030204 cardiovascular system & hematologyPatient ReadmissionGastroenterology03 medical and health sciences0302 clinical medicineInterquartile rangeBetaherpesvirinaeInternal medicineHumansMedicineRisk factorAged030304 developmental biologyAged 80 and overHeart Failure0303 health sciencesbiologybusiness.industryProportional hazards modelHazard ratiovirus diseasesGeneral MedicineLength of StayMiddle AgedPrognosismedicine.diseasebiology.organism_classification3. Good healthHeart failureAcute DiseaseCytomegalovirus InfectionsDNA ViralImmunologyMedicineCytokinesFemaleVirus ActivationInflammation MediatorsEpidemiologic MethodsbusinessClinical Science
researchProduct

Hospital readmission rates: signal of failure or success?

2013

AbstractHospital readmission rates are increasingly used as signals of hospital performance and a basis for hospital reimbursement. However, their interpretation may be complicated by differential patient survival rates. If patient characteristics are not perfectly observable and hospitals differ in their mortality rates, then hospitals with low mortality rates are likely to have a larger share of un-observably sicker patients at risk of a readmission. Their performance on readmissions will then be underestimated. We examine hospitals’ performance relaxing the assumption of independence between mortality and readmissions implicitly adopted in many empirical applications. We use data from th…

MaleMORTALITY-RATESEconomicsIMPACTSocial SciencesHospital performanceC50Business & EconomicsReadmission ratesmedia_commonAged 80 and overHip fractureOUTCOMESI18Mortality rateHealth PolicyHEALTH CARE SCIENCES & SERVICESHospitalsSurvival RateEngland1117 Public Health And Health ServicesMortality ratesFemaleMedical emergencyHEALTHLife Sciences & BiomedicineSample selectionmedicine.medical_specialtyACUTE MYOCARDIAL-INFARCTIONmedia_common.quotation_subjectBivariate analysisPatient ReadmissionReadmission ratemedicineQUALITYHumansSurvival rate1402 Applied EconomicsSelection (genetic algorithm)AgedQuality of Health CareSelection biasHospital readmissionSAMPLE SELECTIONScience & TechnologyModels Statisticalbusiness.industryHip FracturesPublic Health Environmental and Occupational HealthHIP FRACTUREHEALTH POLICY & SERVICESmedicine.diseaseMortality rateMODELEmergency medicinebusinessRACOSTS
researchProduct

Comparison of rehospitalization rates in France and the United States

2014

Objective To compare rates of 30-day all-cause rehospitalization in France and the US among patients aged 65 years and older and explain any difference between the countries. Methods To calculate rehospitalization rates in France, we use an individual identifying variable in the national hospital administrative dataset to track unique individuals aged 65 years or more hospitalized in France in 2010. To calculate the proportion of rehospitalized patients (65+) who received outpatient visits between the time of initial discharge and rehospitalization, we linked the hospital database with a database that includes all medical and surgical admissions. We used step by step regression models to pr…

MalePopulationComorbidityPrimary carePatient ReadmissionSeverity of Illness IndexInsurance Claim ReviewSex FactorsAmbulatory CaremedicineHumanseducationHealth policyAgedAged 80 and overeducation.field_of_studybusiness.industryHealth PolicyAge FactorsPublic Health Environmental and Occupational HealthMedicare beneficiarymedicine.diseaseUnited StatesOutpatient visitsFemaleFranceHealth Services ResearchMedical emergencyNursing homesbusinessDemographyJournal of Health Services Research & Policy
researchProduct

[Application of the Community Assessment Risk Screen in Primary Care centres of the Valencia Health System].

2013

Resumen Objetivo Aplicar la herramienta The Community Assessment Risk Screen (CARS) para detectar pacientes mayores con riesgo de reingreso hospitalario y estudiar la viabilidad de su inclusión en los sistemas de información sanitaria. Diseño Estudio de cohortes retrospectivo. Emplazamiento Departamentos de salud 6, 10 y 11 de la Comunidad Valenciana. Participantes Pacientes de 65 años o más atendidos en diciembre de 2008 en 6 centros de salud. La muestra fue de 500 pacientes (error muestral = ± 4,37%, fracción de muestreo = 1/307). Mediciones Instrumento CARS formado por 3 ítems: diagnósticos (enfermedades cardiacas, diabetes, infarto de miocardio, ictus, EPOC, cáncer), número de fármacos …

MalePrimary Health CareHospital readmissionManagement of chronic patientsOriginalesAtención primariaPatient ReadmissionRisk AssessmentReingreso hospitalarioCommunity Assessment Risk ScreenCohort StudiesElderlySpainSurveys and QuestionnairesHumansMayoresGestión pacientes crónicosFemalePrimary CareAgedRetrospective StudiesAtencion primaria
researchProduct