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1.
Gerokomos (Madr., Ed. impr.) ; 34(2): 101-105, 2023. tab, graf
Article in Spanish | IBECS | ID: ibc-221841

ABSTRACT

Introducción: La sarcopenia es una enfermedad muscular progresiva y generalizada asociada con un aumento de los resultados adversos para la salud (caídas, fracturas, discapacidad y mortalidad). Multiplica por 4 el riesgo de muerte por cualquier causa y tiene un gran impacto en otros resultados de salud y pérdida de calidad de vida. Objetivo: El objetivo principal de esta investigación es establecer la prevalencia y las variables relacionadas con la sarcopenia en pacientes de un hospital de día geriátrico. Metodología: Muestra de 55 pacientes: 40 mujeres (73%) y 15 hombres (27%), con una edad media de 73,25 años (desviación estándar de 13,4). Resultados: El 87% de los pacientes sobreviven al año de seguimiento. El coeficiente de correlación (positivo) (p < 0,01) para SARC-F y SPPB, SARC-F e índice de Barthel, y dinamómetro e índice de Barthel. El coeficiente de correlación de Pearson (negativo) (p < 0,05) para edad y medicación, índice de fragilidad e índice de Barthel, índice de fragilidad y GDS, e índice de Barthel y SPPB. Conclusiones: se puede concluir que el principal factor de riesgo para sarcopenia es la edad. Cuanto mayor es la edad, mayor es el riesgo de sarcopenia. En los mayores de 80 años se obtiene una alta prevalencia en comparación con otros estudios. La sarcopenia y la fragilidad se consideran fuertes predictores de morbilidad, discapacidad y mortalidad en las personas mayores (AU)


Introduction: Sarcopenia is a progressive and generalized muscledisease associated with an increase in adverse health outcomes (falls, fractures, disability and mortality). It is a disease that multiplies by 4 the risk of death from any cause and has a great impact on other health outcomes and loss of quality of life. Objective: The main objective of this research is to establish the prevalence and variables related to sarcopenia in patients from the geriatric day hospital. Methodology: Sample of 55 patients: 40 women (73%) and 15 men (27%), with a mean age of 73.25 years (standard deviation of 13.4). Results: The 87% of patients survive at one-year follow-up. The Pearson correlation coefficient (positive) (p < 0.01) for SARC-F and SPPB, SARC-F and Barthel index, and dynamometer and Barthel index. The Pearson correlation coefficient (negative) (p < 0.05) for age and medication, frailty index and Barthel index, frailty index (IFVIG) and GDS, and Barthel index and SPPB. Conclusions: it can be concluded that the main factor for sarcopenia is age. The older the age is, the greater the risk for sarcopenia. In those over 80 years of age, we obtain a high prevalence compared to other studies. Sarcopenia and frailty are considered strong predictors of morbidity, disability, and mortality in older people (AU)


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Day Care, Medical/statistics & numerical data , Sarcopenia/epidemiology , Risk Factors , Prevalence
2.
Rev. esp. geriatr. gerontol. (Ed. impr.) ; 44(4): 209-212, jul.-ago. 2009. tab
Article in Spanish | IBECS | ID: ibc-76852

ABSTRACT

Introducción Comparar la validez del índice de Barthel (IB), el índice de comorbilidad de Charlson (ICC) y, una variante de este último, el índice de comorbilidad de Charlson corregido por la edad (ICCE) en el pronóstico de mortalidad e institucionalización en pacientes geriátricos hospitalizados.Material y métodos Se realiza un estudio retrospectivo de todos los pacientes ingresados durante el año 2006 en una unidad de agudos y media estancia de un servicio de geriatría (n=343). Como variables independientes se recogieron el IB al ingreso (registrado en la historia clínica de los pacientes) y el ICC e ICCE recogidos a posteriori con la información disponible. La variable resultado fue la ocurrencia de muerte o la institucionalización al alta del paciente, recogiéndose valores de sensibilidad y especificidad para cada uno de los puntos de corte seleccionados de las escalas evaluadas, y elaborando una curva ROC para cada una de ellas, calculando el área bajo la curva (ABC) con su intervalo de confianza (IC) del 95%. Resultados La muestra tenía una edad media de 82,3 años, con el 58,6% de mujeres. El ABC correspondiente al IB fue de 0,736 (IC del 95%=0,68–0,79), para el ICC fue de 0,61 (IC del 95%=0,55–0,67) y para el ICCE fue de 0,625 (IC del 95%=0,56–0,69), encontrándose diferencias estadísticamente significativas entre el ABC del IB frente al ABC de los otros dos índices (p<0,01).Conclusiones Como predictores de mortalidad e institucionalización, la validez del IB fue superior a la de los ICC (original y corregido por la edad). Por este motivo, el IB puede tener una mayor utilidad para el uso más adecuado de los recursos sanitarios disponibles(AU)


Introduction To compare the validity of the Barthel (BI) and Charlson comorbidity index (CCI) as well as the age-adjusted CCI for the prognosis of mortality and institutionalization in hospitalized geriatric patients.Material and methods A retrospective study was conducted to evaluate patients admitted to an acute care geriatric ward and mid-term care facility in 2006 (n=343). The independent variables were the admission BI (registered in the clinical history in all patients) and the CCI and the age-adjusted CCI, which were registered “a posteriori” using the available information. The outcome variable was mortality or institutionalization when the patient was discharged. The sensitivity and specificity values for each of the cut-off points selected from the scales analyzed were recorded and ROC curves were constructed for each of these points; the area under the curve (AUC) with a confidence interval (CI) of up to 95% was calculated.Results The mean age was 82.3 years (58.6% women). The AUC was 0.736 (95% CI=0.68–0.79) for the BI, 0.61 (95% CI=0.55–0.67) for the CCI and 0.625 (95% CI=0.56–0.69) for the age-adjusted CCI. Statistically significant differences were found among the AUC of the BI compared with that of the other two indexes (p<0.01).Conclusions As predictors of mortality and institutionalization, the BI was superior to the CCI and the age-adjusted CCI. The BI could therefore be more useful than the other two indexes when considering an adequate use of healthcare services (AU)


Subject(s)
Humans , Aged , Housing for the Elderly/statistics & numerical data , Health Services for the Aged , Mortality
3.
Rev Esp Geriatr Gerontol ; 44(4): 209-12, 2009.
Article in Spanish | MEDLINE | ID: mdl-19592140

ABSTRACT

INTRODUCTION: To compare the validity of the Barthel (BI) and Charlson comorbidity index (CCI) as well as the age-adjusted CCI for the prognosis of mortality and institutionalization in hospitalized geriatric patients. MATERIAL AND METHODS: A retrospective study was conducted to evaluate patients admitted to an acute care geriatric ward and mid-term care facility in 2006 (n=343). The independent variables were the admission BI (registered in the clinical history in all patients) and the CCI and the age-adjusted CCI, which were registered "a posteriori" using the available information. The outcome variable was mortality or institutionalization when the patient was discharged. The sensitivity and specificity values for each of the cut-off points selected from the scales analyzed were recorded and ROC curves were constructed for each of these points; the area under the curve (AUC) with a confidence interval (CI) of up to 95% was calculated. RESULTS: The mean age was 82.3 years (58.6% women). The AUC was 0.736 (95% CI=0.68-0.79) for the BI, 0.61 (95% CI=0.55-0.67) for the CCI and 0.625 (95% CI=0.56-0.69) for the age-adjusted CCI. Statistically significant differences were found among the AUC of the BI compared with that of the other two indexes (p<0.01). CONCLUSIONS: As predictors of mortality and institutionalization, the BI was superior to the CCI and the age-adjusted CCI. The BI could therefore be more useful than the other two indexes when considering an adequate use of healthcare services.


Subject(s)
Geriatrics , Health Status Indicators , Hospital Mortality/trends , Hospitalization , Aged, 80 and over , Female , Humans , Male , Prognosis , Retrospective Studies
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