ABSTRACT
SUMMARY OBJECTIVE: While the literature contains several studies on the frailty assessed during hospitalization and/or outpatient settings and nursing homes, few studies have assessed frailty in community-dwelling older adults. We investigated the prevalence of frailty and associated factors among older adults in a sample of community-dwelling older adults. METHODS: We included community-dwelling older adults >60 years living in the Fatih District of the Istanbul Province. We conducted the study between November 2014 and May 2015. We collected the data such as age, sex, number of diseases and drugs, functional status, frailty, the presence of geriatric syndromes, common diseases, and quality-of-life assessment. Frailty was evaluated by the FRAIL scale. RESULTS: A total of 204 adults (mean age: 75.4±7.3 years) were included, of whom 30.4% were robust, 42.6% were pre-frail, and 27% were frail. In multivariate analyses, associated factors of frailty were the number of drugs [odds ratio (OR)=1.240, p=0.036], the presence of cognitive impairment (OR=0.300, p=0.016), and falls (OR=1.984, p=0.048). CONCLUSION: The present study established the prevalence of frailty in a large district in the largest metropolis in the country through a valid screening method. Our results suggest that clinicians should consider frailty evaluation in patients with multiple drug usage, cognitive impairment, and falls.
ABSTRACT
OBJECTIVE: Poor recognition and monitoring of nutritional status is the most important cause of malnutrition in hospitalized patients. The aim of this study was to assess the nutritional status of a group of patients and compare the results with their serum prealbumin levels. METHODS: Ninety-seven patients admitted consecutively to the hospital were enrolled in the study. The risk of malnutrition was assessed according to anthropometric data and the Subjective Global Assessment and Nutrition Risk Screening 2002 tools. The nutritional statuses of the patients were compared with their age, gender, body mass index, medical history, weight loss and routine biochemical analyses, including prealbumin and length of hospital stay. RESULTS: According to the Nutrition Risk Screening 2002, 57 percent of the patients were malnourished or at risk of malnutrition, correlating well with the Subjective Global Assessment (p<0.001, r=0.700). Multivariate analysis revealed positive correlations between malnutrition and age, weight loss, malignancy and serum C-reative protein (p=0.046, p=0.001, p=0.04 and p=0.002). Nutrition Risk Screening 2002 score ³3 was associated with prolonged length of hospital stay (p=0.001). Serum prealbumin correlated with nutritional status, regardless of the number of chronic diseases and inflammation biomarkers (p=0.01). Serum prealbumin sensitivity, specificity, positive predictive value, negative predictive value and diagnostic value in the assessment of risk of malnutrition were 94 percent, 32 percent, 0.67, 0.78 and 69 respectively. After 7 days of nutritional support, the risk of malnutrition decreased by 12 percent (p<0.001) and serum prealbumin levels increased by 20 percent (p=0.003). CONCLUSION: Instead of reflecting overall nutritional status, low serum prealbumin may be regarded as a sign of increased risk of malnutrition, requiring further nutritional assessment. It can be used for monitoring patients receiving nutritional support.
OBJETIVO: Falha no reconhecimento e acompanhamento do estado nutricional é a razão mais importante da desnutrição em pacientes hospitalizados. Este estudo objetivou avaliar o estado nutricional dos pacientes e comparar os resultados com os níveis séricos de pré-albumina. MÉTODOS: Foram incluídos 97 pacientes no estudo, internados consecutivamente. O risco de desnutrição foi avaliado de acordo com dados antropométricos e com a Avaliação Subjetiva Global e Triagem de Risco Nutricional 2002. Os estados nutricionais dos pacientes foram comparados com suas idades, sexo, índice de massa corporal, histórico médico, perda de peso e análises bioquímicas, incluindo pré-albumina e tempo de permanência hospitalar. RESULTADOS: De acordo com o Triagem de Risco Nutricional 2002, 57 por cento dos pacientes estavam desnutridos ou em risco de desnutrição, apresentando boa correlação com o Avaliação Subjetiva Global (p<0,001, r=0,700). A análise multivariada mostrou correlações positivas entre desnutrição e idade, perda de peso, malignidade e proteína reativa-C (p=0,046, p=0,001, p=0,04 e p=0,002). Um escore ³3 no Triagem de Risco Nutricional 2002 foi associado à internação prolongada (p<0,001). Houve correlação entre pré-albumina sérica e o estado nutricional, independente do número de doenças crônicas e biomarcadores de inflamação (p=0,01). CONCLUSÃO: Ao invés de refletir o estado nutricional global do paciente, níveis séricos baixos de séricos de pré-albumina podem ser vistos como um sinal de maior risco de desnutrição, exigindo uma avaliação nutricional mais extensa. A análise sérica de pré-albumina pode ser usada para o monitoramento de pacientes recebendo suporte nutricional.