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1.
Nutrients ; 15(15)2023 Jul 26.
Artículo en Inglés | MEDLINE | ID: mdl-37571245

RESUMEN

Energy and protein intakes lower than requirements are associated with worsening health outcomes. Here we set out to evaluate gaps between energy and protein intakes and requirements in older adults in hospitals and in nursing homes (NH). A cross-sectional study included 360 inpatients and residents aged 75 years and older in two acute care wards; i.e., a multidisciplinary care unit (MCU) and a geriatric care unit (GCU), a geriatric rehabilitation unit (GRU), and two NH. Intakes were measured for three days. Requirements were based on French National Health Authority recommendations. Energy and protein intakes were under the minimum requirement of 30 kcal/kg/day and 1.2 g/kg/day in 89.5% and 100% of MCU patients, respectively, 75.5% and 64.2% of GCU patients, 92.7% and 90.9% of GRU patients, and 83.8% and 83.8 of NH residents. Intake-to-requirement gaps were not significantly associated with malnutrition, except in the GCU group where non-malnourished patients had higher energy gaps than malnourished patients. Intakes fell dramatically short of requirements in older adults in both hospital and NH settings irrespective of malnutrition status. A new paradigm based on a patient-centered approach should be developed to adapt meals served in hospital and in NH.


Asunto(s)
Desnutrición , Casas de Salud , Humanos , Anciano , Estudios Transversales , Desnutrición/epidemiología , Hospitales , Comidas , Ingestión de Energía , Estado Nutricional , Evaluación Nutricional , Evaluación Geriátrica
2.
Eur J Clin Nutr ; 76(1): 56-64, 2022 01.
Artículo en Inglés | MEDLINE | ID: mdl-33850314

RESUMEN

BACKGROUND/OBJECTIVES: Sarcopenia is an age-related muscle disease associated with higher mortality, morbidity risk and health costs. An easy and convenient sarcopenia screening test would be hugely valuable for clinical critical care. The study aimed to assess handgrip strength (HGS) as a screening tool for sarcopenia in acute care-unit inpatients, using the EWGSOP 1 reference-standard definition. SUBJECTS/METHODS: Inpatients, aged 75 years old or above, of two acute care wards-a multidisciplinary care unit (MCU) and a geriatric care unit (GCU), were included between September 2017 and June 2018 in a cross-sectional study. HGS, sarcopenia, nutritional status, functional status, number of medications and sociodemographic data were collected. The accuracy of HGS as a screening test for sarcopenia was assessed by gender using receiver operating characteristic (ROC) curves and area under the curve (AUC) in a population of older patients (n = 223; age: 85.8 yrs; BMI: 26.7 kg/m²). RESULTS: Screening was positive (patients confirmed with sarcopenia by the HGS test) with cut-off values of 18 kg for women and 25.5 kg for men, with ROC analysis giving a sensitivity of 92.9% in women and 78.6% in men. ROC curve analysis found also that HGS should be strictly higher than 15 kg in women and 18 kg in men to maximise AUC. Prevalence of sarcopenia according to the EWGSOP1 definition was 31.8% (95% CI: 22.1-41.6%) in the MCU and 27.8% (95% CI: 19.6-36.0%) in the GCU. CONCLUSIONS: Acute care wards can use HGS as a valid, easy tool for early screening of sarcopenia.


Asunto(s)
Sarcopenia , Anciano , Anciano de 80 o más Años , Cuidados Críticos , Estudios Transversales , Femenino , Fuerza de la Mano , Humanos , Masculino , Fuerza Muscular , Prevalencia , Sarcopenia/diagnóstico , Sarcopenia/epidemiología
3.
Intensive Care Med ; 42(9): 1445-53, 2016 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-27515162

RESUMEN

PURPOSE: Phase angle as measured by bioelectrical impedance analysis reflects fat-free mass. Fat-free mass loss relates to worse prognosis in chronic diseases. Primary aim of this study was: to determine the association between fat-free mass at intensive care unit admission and 28-day mortality. METHODS: Ten centres in nine countries participated in this multicentre prospective observational study. The inclusion criteria were age >18 years; expected length of stay >48 h; absence of pacemaker, heart defibrillator implant, pregnancy and lactation. Fat-free mass was assessed by measurement of the 50-kHz phase angle at admission. The primary endpoint was 28-day mortality. The area under the receiver operating characteristic curve (AUC) was used to assess prediction of 28-day mortality by fat-free mass at ICU admission. The variables associated with 28-day mortality were analysed by means of multivariable logistic regression. RESULTS: Of the 3605 patients screened, 931 were analysed: age 61 ± 16 years, male 60 %, APACHE II 19 ± 9, body mass index 26 ± 6, day 1 phase angle 4.5° ± 1.9°. Day 1 phase angle was lower in patients who eventually died than in survivors (4.1° ± 2.0° vs. 4.6° ± 1.8°, P = 0.001). The day 1 phase angle AUC for 28-day mortality was 0.63 [0.58-0.67]. In multivariable analysis, the following were independently associated with 28-day mortality: age (adjusted odds ratio (aOR) 1.014 [95 % confidence interval 1.002-1.027], P = 0.03), day 1 phase angle (aOR 0.86 [0.78-0.96], P = 0.008), APACHE II (aOR 1.08 [1.06-1.11], P < 0.001), surgical patient (aOR 0.51 [0.33-0.79], P = 0.002), and admission for other diagnosis (aOR 0.39 [0.21-0.72], P = 0.003). A multivariable combined score improved the predictability of 28-day mortality: AUC = 0.79 [0.75-0.82]. CONCLUSION: Low fat-free mass at ICU admission is associated with 28-day mortality. A combined score improves mortality predictability. TRIAL REGISTRATION: NCT01907347 ( http://www.clinicaltrials.gov ).


Asunto(s)
Composición Corporal , Enfermedad Crítica/mortalidad , Impedancia Eléctrica , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos/estadística & datos numéricos , APACHE , Adulto , Anciano , Anciano de 80 o más Años , Área Bajo la Curva , Índice de Masa Corporal , Femenino , Humanos , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Estudios Prospectivos , Medición de Riesgo , Factores de Riesgo , Índice de Severidad de la Enfermedad , Puntuación Fisiológica Simplificada Aguda , Factores de Tiempo
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