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1.
Article in English | MEDLINE | ID: mdl-36011814

ABSTRACT

Multimorbidity is challenging for both patients and healthcare systems due to its increasing prevalence and high impact on people's health and well-being. The risk of multimorbidity increases with age, but there is still more to discover regarding the clinical profile of the oldest old. In this study, we used information from the EpiChron Cohort Study to identify multimorbidity patterns in individuals who died during the period 2010-2019 at the ages of 80-89, 90-99, and ≥100. This cohort links the demographic, clinical, and drug dispensation information of public health system users in Aragón, Spain. We saw a significantly lower number of chronic diseases and drugs and a lower prevalence of polypharmacy in centenarians compared to those aged 80-99. K-means clustering revealed different multimorbidity clusters by sex and age group. We observed clusters of cardiovascular and metabolic diseases, obstructive pulmonary conditions, and neoplasms, amongst other profiles. One in three octogenarian women had a metabolic pattern (diabetes, dyslipidaemia, and other endocrine-metabolic disorders) with the highest number of diseases (up to seven) and prevalence of polypharmacy (64%). We observed clusters of dementia and genitourinary disorders in individuals on medication with anticholinergic activity. Our study offers an opportunity to better understand the urgency of adequately addressing multimorbidity in our older adults.


Subject(s)
Metabolic Diseases , Multimorbidity , Aged , Aged, 80 and over , Chronic Disease , Cohort Studies , Cross-Sectional Studies , Female , Humans , Polypharmacy , Prevalence
2.
Article in English | MEDLINE | ID: mdl-34831541

ABSTRACT

This study aims to identify baseline medications that, as a proxy for the diseases they are dispensed for, are associated with increased risk of mortality in COVID-19 patients from two regions in Spain and Italy using real-world data. We conducted a cross-country, retrospective, observational study including 8570 individuals from both regions with confirmed SARS-CoV-2 infection between 4 March and 17 April 2020, and followed them for a minimum of 30 days to allow sufficient time for the studied event, in this case death, to occur. Baseline demographic variables and all drugs dispensed in community pharmacies three months prior to infection were extracted from the PRECOVID Study cohort (Aragon, Spain) and the Campania Region Database (Campania, Italy) and analyzed using logistic regression models. Results show that the presence at baseline of potassium-sparing agents, antipsychotics, vasodilators, high-ceiling diuretics, antithrombotic agents, vitamin B12, folic acid, and antiepileptics were systematically associated with mortality in COVID-19 patients from both countries. Treatments for chronic cardiovascular and metabolic diseases, systemic inflammation, and processes with increased risk of thrombosis as proxies for the conditions they are intended for can serve as timely indicators of an increased likelihood of mortality after the infection, and the assessment of pharmacological profiles can be an additional approach to the identification of at-risk individuals in clinical practice.


Subject(s)
COVID-19 Drug Treatment , Pharmaceutical Preparations , Humans , Retrospective Studies , SARS-CoV-2 , Spain/epidemiology
3.
J Clin Med ; 9(5)2020 May 21.
Article in English | MEDLINE | ID: mdl-32455809

ABSTRACT

This study aims to describe the clinical course, drug use, and health services use characteristics during the last year of life of elders who die being centenarians and to identify key aspects differentiating them from elders who die at an earlier age, with a particular focus on sex differences. We conducted an observational, population-based study in the EpiChron Cohort (Aragón, Spain). The population was stratified by sex and into three age sub-populations (80-89, 90-99, and ≥100 years), and their characteristics were described and compared. Multimorbidity was the rule in our elders, affecting up to 3 in 4 centenarians and 9 in 10 octogenarians and nonagenarians. Polypharmacy was also observed in half of the centenarian population and in most of the younger elders. Risk factors for cardiovascular disease (i.e., hypertension, dyslipidaemia, diabetes), cerebrovascular disease and dementia were amongst the most common chronic conditions in all age groups, whereas the gastroprotective drugs and antithrombotic agents were the most dispensed drugs. Centenarians presented in general lower morbidity and treatment burden and lower use of both primary and hospital healthcare services than octogenarians and nonagenarians, suggesting a better health status. Sex-differences in their clinical characteristics were more striking in octogenarians and tended to decrease with age.

4.
Eur Geriatr Med ; 11(2): 321-332, 2020 04.
Article in English | MEDLINE | ID: mdl-32297200

ABSTRACT

PURPOSE: Multimorbidity and frailty are complex conditions often present in older people. The aim of this study was to identify clusters of chronic diseases in robust and frail individuals and compare sociodemographic and health characteristics between these clusters. METHODS: This cross-sectional study used information from electronic health records and a baseline assessment, which included the Timed Up and Go test of physical performance as a measure of frailty. Multiple correspondence and cluster analyses were performed to identify groups. RESULTS: A total of 813 individuals (55.1% women; mean age 77.4 years, SD = 5.0) were studied. Frail individuals (n = 244) were older and had a poorer health status than robust individuals (n = 569). Three clusters were identified among the robust (RC1, n = 348; RC2, n = 139 and RC3, n = 82) and four among the frail individuals (FC1, n = 164; FC2, n = 23; FC3, n = 44 and FC4, n = 13). The RC1 and FC1 had a better health status (specifically, less polypharmacy, lower chronic disease burden and better self-perceived health) than RC2-RC3 and FC2-FC3-FC4, respectively. Diseases associated with mobility limitation and limb pain were more common in RC2 and FC2 than in the other clusters. Cardiovascular diseases and risk factors were more prevalent in RC3 and FC3. Among the frail a new cluster emerged, FC4, containing individuals with higher rates of cognitive and eye problems and a clearly poor health status. CONCLUSION: This exploratory study may provide relevant information for the clinical management of older patients with multimorbidity, even though the chronic disease clusters identified were similar in robust and frail individuals.


Subject(s)
Multimorbidity , Postural Balance , Aged , Cluster Analysis , Cross-Sectional Studies , Female , Frail Elderly , Functional Status , Geriatric Assessment , Humans , Male , Time and Motion Studies
5.
BMC Geriatr ; 19(1): 226, 2019 08 19.
Article in English | MEDLINE | ID: mdl-31426764

ABSTRACT

BACKGROUND: With the number of centenarians increasing exponentially in Spain, a deeper knowledge of their socio-demographic, clinical, and healthcare use characteristics is important to better understand the health profile of the very elderly. METHODS: We conducted a retrospective, cross-sectional observational study in the EpiChron Cohort (Aragón, Spain) aimed at analyzing the socio-demographic, clinical, drug use and healthcare use characteristics of 1680 centenarians during 2011-2015, using data from electronic health records and clinical-administrative databases. RESULTS: Spanish centenarians (79.1% women) had 101.6 years on average. Approximately 80% of centenarians suffered from multimorbidity, with an average of 4.0 chronic conditions; 50% were exposed to polypharmacy, with an average of 4.8 medications; only 6% of centenarians were free of chronic diseases and only 7% were not on medication. Centenarians presented a cardio-cerebrovascular pattern in which hypertension, heart failure, cerebrovascular disease and dementia were the most frequent conditions. Primary care was the most frequently visited healthcare level (79% of them), followed by medical specialist consultations (23%), hospitalizations (13%), and emergency service use (9%). CONCLUSIONS: Multimorbidity is the rule rather than the exception in Spanish centenarians. Addressing medical care in the very elderly from a holistic geriatric view is critical in order to preserve their health, and avoid the negative effects of polypharmacy.


Subject(s)
Cardiovascular Diseases/epidemiology , Dementia/epidemiology , Electronic Health Records/trends , Health Status , Primary Health Care/trends , Aged, 80 and over , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/therapy , Chronic Disease , Cohort Studies , Cross-Sectional Studies , Databases, Factual/trends , Dementia/diagnosis , Dementia/therapy , Emergency Service, Hospital/trends , Female , Hospitalization/trends , Humans , Male , Multimorbidity/trends , Polypharmacy , Primary Health Care/methods , Retrospective Studies , Spain/epidemiology
6.
Rev. esp. geriatr. gerontol. (Ed. impr.) ; 51(1): 29-36, ene.-feb. 2016. tab
Article in Spanish | IBECS | ID: ibc-148662

ABSTRACT

Objetivos. Valorar la factibilidad de armonizar la información disponible en una serie de bases de datos independientes con el fin de construir una base de datos integrada para el estudio de la fragilidad. Material y métodos. Este trabajo se basa en el proyecto europeo Integral Approach to the Transition between Frailty and Dependence on older adults: Patterns of occurrence, identification tools and model of care (INTAFRADE), desarrollado por 4 grupos, 3 en España y uno en Francia en el que cada socio aportaba sus bases de datos relacionadas con el estudio de la fragilidad. En un paso previo a la fusión de las 4 bases de datos se ha realizado un mapeo de las características y variables presentes en cada uno de los estudios, analizando su capacidad de ser armonizables. Resultados. Se identificaron 30 variables diferentes que correspondieron a 8 dimensiones: características sociodemográficas, sociales, de estado de salud, hábitos de vida, medidas antropométricas, otras medidas físicas, uso de servicios sanitarios y resultados adversos en salud. De ellas, 28 (93%) resultaron armonizables, aunque solo el 20% estaban presentes en todas las bases de datos y el 47% en 3 de ellas. Con respecto a los instrumentos de evaluación de fragilidad se observó que en ninguno de ellos se disponía de al menos el 50% de los ítems de cada instrumento. El proceso de armonización permitirá analizar de forma conjunta los datos de 2.361 sujetos. Conclusiones. El estudio europeo INTAFRADE permitirá profundizar en el estudio de la fragilidad, aportando la metodología necesaria para la armonización de la información de bases de datos heterogéneas (AU)


Objectives. The main objective of the present work is to evaluate the feasibility of harmonising the available information from different independent databases, in order to build an integrated database to study frailty. Material and methods. This work is based on the European project, Integral Approach to the Transition between Frailty and Dependence on older adults: Patterns of occurrence, identification tools and model of care (INTAFRADE), developed by 4 groups, 3 in Spain and one in France. Each partner provided their databases related to the study of frailty. As a previous step to the creation of an integrated database the characteristics and variables included in each study were mapped, specifying whether their harmonisation was possible or not. Results. A total of 30 different variables that corresponded to 8 dimensions were identified: Sociodemographic and social characteristics, health status, lifestyle habits, anthropometric measures, other physical measurements, use of health services, and adverse health results. Of them all, 28 (93%) variables were harmonisable, although only 20% were present in all databases, with 47% in 3 of them. In relation to the frailty instruments, all of them were lacking at least 50% of the items. The harmonisation process will allow us to jointly analyse information available on 2,361 people. Conclusions. The European INTAFRADE study will allow a deeper understanding of the frailty process in older people by harmonising information from heterogeneous databases (AU)


Subject(s)
Humans , Male , Female , Frail Elderly/statistics & numerical data , /organization & administration , /statistics & numerical data , /standards , Databases as Topic/standards , Databases as Topic , Projects , Health Status , Databases as Topic/organization & administration , Databases as Topic/statistics & numerical data , Health Programs and Plans/organization & administration , Health Programs and Plans/standards , Habits , Anthropometry
7.
Rev Esp Geriatr Gerontol ; 51(1): 29-36, 2016.
Article in Spanish | MEDLINE | ID: mdl-26613655

ABSTRACT

OBJECTIVES: The main objective of the present work is to evaluate the feasibility of harmonising the available information from different independent databases, in order to build an integrated database to study frailty. MATERIAL AND METHODS: This work is based on the European project, Integral Approach to the Transition between Frailty and Dependence on older adults: Patterns of occurrence, identification tools and model of care (INTAFRADE), developed by 4 groups, 3 in Spain and one in France. Each partner provided their databases related to the study of frailty. As a previous step to the creation of an integrated database the characteristics and variables included in each study were mapped, specifying whether their harmonisation was possible or not. RESULTS: A total of 30 different variables that corresponded to 8 dimensions were identified: Sociodemographic and social characteristics, health status, lifestyle habits, anthropometric measures, other physical measurements, use of health services, and adverse health results. Of them all, 28 (93%) variables were harmonisable, although only 20% were present in all databases, with 47% in 3 of them. In relation to the frailty instruments, all of them were lacking at least 50% of the items. The harmonisation process will allow us to jointly analyse information available on 2,361 people. CONCLUSIONS: The European INTAFRADE study will allow a deeper understanding of the frailty process in older people by harmonising information from heterogeneous databases.


Subject(s)
Databases, Factual , Frail Elderly , Geriatric Assessment , Activities of Daily Living , Aged , Health Status , Humans , Spain
8.
PLoS One ; 10(7): e0132909, 2015.
Article in English | MEDLINE | ID: mdl-26208112

ABSTRACT

BACKGROUND/OBJECTIVES: The clinical status of older individuals with multimorbidity can be further complicated by concomitant geriatric syndromes. This study explores multimorbidity patterns, encompassing both chronic diseases and geriatric syndromes, in geriatric patients attended in an acute hospital setting. DESIGN: Retrospective observational study. SETTING: Unit of Social and Clinical Assessment (UVSS), Miguel Servet University Hospital (HUMS), Zaragoza (Spain). Year, 2011. PARTICIPANTS: A total of 924 hospitalized patients aged 65 years or older. MEASUREMENTS: Data on patients' clinical, functional, cognitive and social statuses were gathered through comprehensive geriatric assessments. To identify diseases and/or geriatric syndromes that cluster into patterns, an exploratory factor analysis was applied, stratifying by sex. The factors can be interpreted as multimorbidity patterns, i.e., diseases non-randomly associated with each other within the study population. The resulting patterns were clinically assessed by several physicians. RESULTS: The mean age of the study population was 82.1 years (SD 7.2). Multimorbidity burden was lower in men under 80 years, but increased in those over 80. Immobility, urinary incontinence, hypertension, falls, dementia, cognitive decline, diabetes and arrhythmia were among the 10 most frequent health problems in both sexes, with prevalence rates above 20%. Four multimorbidity patterns were identified that were present in both sexes: Cardiovascular, Induced Dependency, Falls and Osteoarticular. The number of conditions comprising these patterns was similar in men and women. CONCLUSION: The existence of specific multimorbidity patterns in geriatric patients, such as the Induced Dependency and Falls patterns, may facilitate the early detection of vulnerability to stressors, thus helping to avoid negative health outcomes such as functional disability.


Subject(s)
Aging , Chronic Disease/epidemiology , Hospitalization/statistics & numerical data , Accidental Falls/statistics & numerical data , Aged , Aged, 80 and over , Aging/physiology , Comorbidity , Dementia/epidemiology , Diabetes Mellitus/epidemiology , Female , Geriatric Assessment , Humans , Hypertension/epidemiology , Male , Retrospective Studies , Spain/epidemiology , Syndrome , Urinary Incontinence/epidemiology
9.
BMC Geriatr ; 14: 75, 2014 Jun 17.
Article in English | MEDLINE | ID: mdl-24934411

ABSTRACT

BACKGROUND: The coexistence of several chronic diseases in one same individual, known as multimorbidity, is an important challenge facing health care systems in developed countries. Recent studies have revealed the existence of multimorbidity patterns clustering systematically associated distinct clinical entities. We sought to describe age and gender differences in the prevalence and patterns of multimorbidity in men and women over 65 years. METHODS: Observational retrospective multicentre study based on diagnostic information gathered from electronic medical records of 19 primary care centres in Aragon and Catalonia. Multimorbidity patterns were identified through exploratory factor analysis. We performed a descriptive analysis of previously obtained patterns (i.e. cardiometabolic (CM), mechanical (MEC) and psychogeriatric (PG)) and the diseases included in the patterns stratifying by sex and age group. RESULTS: 67.5% of the aged population suffered two or more chronic diseases. 32.2% of men and 45.3% of women were assigned to at least one specific pattern of multimorbidity, and 4.6% of men and 8% of women presented more than one pattern simultaneously. Among women over 65 years the most frequent pattern was the MEC pattern (33.3%), whereas among men it was the CM pattern (21.2%). While the prevalence of the CM and MEC patterns decreased with age, the PG pattern showed a higher prevalence in the older age groups. CONCLUSIONS: Significant gender differences were observed in the prevalence of multimorbidity patterns, women showing a higher prevalence of the MEC and PG patterns, as well as a higher degree of pattern overlapping, probably due to a higher life expectancy and/or worse health. Future studies on multimorbidity patterns should take into account these differences and, therefore, the study of multimorbidity and its impact should be stratified by age and sex.


Subject(s)
Aging/pathology , Aging/psychology , Population Surveillance , Sex Characteristics , Age Factors , Aged , Aged, 80 and over , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Comorbidity , Female , Humans , Male , Mental Disorders/diagnosis , Mental Disorders/epidemiology , Population Surveillance/methods , Prevalence , Retrospective Studies , Spain/epidemiology
10.
Eur J Intern Med ; 24(8): 767-71, 2013 Dec.
Article in English | MEDLINE | ID: mdl-23938328

ABSTRACT

AIM: To determine whether there are any differences between polypathological patients attended in Internal Medicine departments and acute Geriatric units. METHODS: A cross-sectional multicenter study was performed. Polypathological patients admitted to an internal medicine or geriatrics department and attended by investigators consecutively between March 1 and June 30, 2011 were included. Data of age, sex, living in a nursing residence or at home, diagnostic category, use of chronic medication, Charlson, Barthel and Lawton-Brody indexes, Pfeiffer questionnaire, delirium during last admission, need of a caregiver, and having a caregiver were gathered. The need of a caregiver was defined when the Barthel index was<60 or Pfeiffer questionnaire ≥ 3 errors. RESULTS: 471 polypathological patients, 337 from internal medicine and 144 from geriatrics units were included. Geriatrics inpatients were older and more frequently female. Cardiac (62.1% vs 49.6%; p=.01), digestive (8.3% vs 3.0%; p=.04) and oncohematological diseases (30.2% vs 18.8%; p=.01) were more frequent in patients of internal medicine units and neurological (66.2% vs 40.2%; p<.001) and locomotive ones (39.1% vs 20.4%; p<.001) in geriatrics inpatients. Charlson index was higher for internal medicine inpatients [4.0(2.1) vs 3.5(2.1); p=.04). Patients attended in geriatrics scored higher in Pfeiffer questionnaire [5.5(3.7) vs 3.8(3.3); p<.001], and lower in Barthel [38.8(32.5) vs 61.2(34.3); p=.001] and Lawton-Brody indexes [0.9(1.6) vs 3.0(2.9); p<.001], and more frequently needed a caregiver (87.8% vs 53.6%; p<.001) and had it. CONCLUSIONS: There are differences in disease profile and functional and cognitive situation between polypathological patients of internal medicine and geriatrics departments.


Subject(s)
Comorbidity , Hospitalization/statistics & numerical data , Age Distribution , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Geriatrics , Hospital Departments/statistics & numerical data , Hospital Units/statistics & numerical data , Humans , Internal Medicine , Male , Sex Distribution , Spain
11.
Rev. esp. geriatr. gerontol. (Ed. impr.) ; 48(1): 30-38, ene.-feb. 2013.
Article in Spanish | IBECS | ID: ibc-109118

ABSTRACT

Desde el Grupo de Trabajo de Osteoporosis, Caídas y Fracturas (GOCF) de la Sociedad Española de Geriatría y Gerontología (SEGG), se creó una comisión de trabajo con vistas a realizar una revisión de la evidencia en cuanto a la detección, los factores de riesgo y las herramientas de valoración de caídas, así como las pautas de actuación frente a las mismas en residencias e instituciones. Igualmente, se definen los distintos perfiles de usuarios de estas instituciones para efectuar una aproximación exhaustiva respecto a un fenómeno y a una subpoblación tan heterogéneos, ofreciendo una clasificación de riesgo y unas recomendaciones específicas de acuerdo a dicha clasificación(AU)


The Workshop on Osteoporosis, Falls and Fractures (GCOF) of The Spanish Geriatrics and Gerontology Society (SEGG) formed a committee in order to review the state of the art on the detection, risk factors and assessment tools for falls, and intervention protocols when falls occurs in nursing homes, long-term hospitals or medium-stay units. The different patient profiles are described in order to make a comprehensive approach to this heterogeneous topic and population, offering a risk classification and specific advice according to these categories(AU)


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Accidental Falls/economics , Accidental Falls/prevention & control , Accidental Falls/statistics & numerical data , Health of Institutionalized Elderly , Risk Factors , Homes for the Aged/legislation & jurisprudence , Homes for the Aged/organization & administration , Homes for the Aged , Old Age Assistance/legislation & jurisprudence , Health Services for the Aged/organization & administration , Health Services for the Aged/statistics & numerical data , Health Services for the Aged , Geriatric Hospitals , Frail Elderly/statistics & numerical data , Housing for the Elderly/legislation & jurisprudence
12.
Rev Esp Geriatr Gerontol ; 48(1): 30-8, 2013.
Article in Spanish | MEDLINE | ID: mdl-23218786

ABSTRACT

The Workshop on Osteoporosis, Falls and Fractures (GCOF) of The Spanish Geriatrics and Gerontology Society (SEGG) formed a committee in order to review the state of the art on the detection, risk factors and assessment tools for falls, and intervention protocols when falls occurs in nursing homes, long-term hospitals or medium-stay units. The different patient profiles are described in order to make a comprehensive approach to this heterogeneous topic and population, offering a risk classification and specific advice according to these categories.


Subject(s)
Accidental Falls/prevention & control , Accidental Falls/statistics & numerical data , Homes for the Aged , Nursing Homes , Aged , Algorithms , Humans , Records , Risk Factors
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