Search results for "Disease distribution"

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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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Global Distribution and Evolution of Mycobacterium bovis Lineages

2020

Mycobacterium bovis is the main causative agent of zoonotic tuberculosis in humans and frequently devastates livestock and wildlife worldwide. Previous studies suggested the existence of genetic groups of M. bovis strains based on limited DNA markers (a.k.a. clonal complexes), and the evolution and ecology of this pathogen has been only marginally explored at the global level. We have screened over 2,600 publicly available M. bovis genomes and newly sequenced four wildlife M. bovis strains, gathering 1,969 genomes from 23 countries and at least 24 host species, including humans, to complete a phylogenomic analyses. We propose the existence of four distinct global lineages of M. bovis (Lb1, …

Microbiology (medical)Lineage (evolution)Wildlifelcsh:QR1-502bovine tuberculosis (bTB)BiologyDisease distributionGenomeMicrobiologylcsh:Microbiologygenomic03 medical and health sciencesExtant taxonevolutionPathogenOriginal Research030304 developmental biology0303 health sciencesMycobacterium bovis030306 microbiologybusiness.industryHost (biology)biology.organism_classificationMycobacterium bovisGlobal distributionGenetic markerEvolutionary biologyLivestockSEQUENCIAMENTO GENÉTICObusinesslineageFrontiers in Microbiology
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Sex-Differences in the Pattern of Comorbidities, Functional Independence, and Mortality in Elderly Inpatients: Evidence from the RePoSI Register

2019

Background: The RePoSi study has provided data on comorbidities, polypharmacy, and sex dimorphism in hospitalised elderly patients. Methods: We retrospectively analysed data collected from the 2010, 2012, 2014, and 2016 data sets of the RePoSi register. The aim of this study was to explore the sex-differences and to validate the multivariate model in the entire dataset with an expanded follow-up at 1 year. Results: Among 4714 patients, 51% were women and 49% were men. The disease distribution showed that diabetes, coronary artery disease, chronic obstructive pulmonary disease, chronic kidney disease, and malignancy were more frequent in men but that hypertension, anaemia, osteoarthritis, de…

medicine.medical_specialtyMultivariate analysislcsh:MedicineSocio-culturaleDisease030204 cardiovascular system & hematologyelderlyArticleCoronary artery disease03 medical and health sciences0302 clinical medicineInternal medicineMedicine030212 general & internal medicineDepression (differential diagnoses)Polypharmacybusiness.industrylcsh:RGeneral Medicinemedicine.diseaseComorbidityelderly sex profiles disease distribution in-hospital mortality 3-month mortality 1-year mortalityMood disordersdisease distribution1-year mortality3-month mortalitysex profilesbusiness1-year mortality; 3-month mortality; disease distribution; elderly; in-hospital mortality; sex profilesKidney diseasein-hospital mortality
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