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1.
Nutrition ; 25(1): 11-9, 2009 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-18848432

RESUMO

OBJECTIVE: Artificial nutrition (AN) is now considered medical therapy and has progressively become one of the mainstays of the different therapeutic options available for home or hospitalized patients, including surgical, medical, and critically ill patients. The clinical relevance of any therapy is based on its efficacy and effectiveness and thus on the improvement of its cost efficiency, i.e., the ability to provide benefits to the patients with minimal wasting of human and financial resources. The aim of the present study was to identify those indices, clinical, functional, or nutritional, that may reliably predict, before the start of AN, those patients who are likely not to benefit from nutritional support. METHODS: Three hundred twelve clinical charts of patients receiving AN between January 1999 and September 2006 were retrospectively examined. Data registered before starting AN were collected and analyzed: general data (age, sex), clinical conditions (comorbidity, quality of life, frailty), anthropometric and biochemical indices, type of AN treatment (total enteral nutrition, total parenteral nutrition, mixed AN), and outcome of treatment. RESULTS: The percentage of negative outcomes (death or interruption of AN due to worsening clinical conditions within 10 d after starting AN) was meaningfully higher in subjects >80 y of age and with reduced social functions, higher comorbidity and/or frailty, reduced level of albumin, prealbumin, lymphocyte count, and cholinesterase and a higher level of C-reactive protein. The multivariate analysis showed that prealbumin and comorbidity were the best predictors of AN outcome. The logistic regression model with these variables showed a predictive value equal to 84.2%. CONCLUSION: Proper prognostic instruments are necessary to perform optimal evaluations. The present study showed that a patient's general status (i.e., comorbidity, social quality of life, frailty) and nutritional and inflammatory statuses (i.e., lymphocyte count, albumin, prealbumin, C-reactive protein) have good predictive value on the effectiveness of AN.


Assuntos
Estado Terminal/terapia , Idoso Fragilizado , Contagem de Linfócitos , Estado Nutricional , Apoio Nutricional/economia , Albumina Sérica/análise , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Proteína C-Reativa , Comorbidade , Análise Custo-Benefício , Feminino , Idoso Fragilizado/psicologia , Idoso Fragilizado/estatística & dados numéricos , Mortalidade Hospitalar , Humanos , Modelos Logísticos , Masculino , Análise Multivariada , Apoio Nutricional/métodos , Valor Preditivo dos Testes , Qualidade de Vida , Estudos Retrospectivos , Fatores de Risco , Falha de Tratamento , Resultado do Tratamento
2.
Med Sci Monit ; 11(7): CR326-36, 2005 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-15990690

RESUMO

BACKGROUND: The prevalence of pressure ulcers (PUs) ranges from 1 to 18% of in-patients and from 3 to 28% in long-term settings. The aim of our study was to verify how comorbidity and frailty influenced the course of PUs in a population of elderly subjects hospitalized in a long-term care setting. MATERIAL/METHODS: The charts of 125 patients with pressure ulcers were evaluated retrospectively. For each subject we took note of PU characteristics (stage, ulcer surface, evolution), and clinical characteristics (comorbidity, adverse clinical events, and cognitive, functional, and nutritional status). Frailty was defined considering age, cognitive functions, and functional and nutritional status. RESULTS: In 58 patients (46.4%) there was overall resolution of the lesions, while in 39 patients (31.2%) we had "improvement" of PUs. The course of PU was not significantly influenced by the patient's physiological characteristics, cognitive status, or the initial characteristics of PU. We noticed a significant difference in the course of PUs as a function of autonomy level and clinical and nutritional status. During the observation period we found significant differences in the frailty scores: 87.2% of those who showed an improvement in the score had resolution or improvement in PUs, while this occurred in only 27.3% of those who had a worsening in the level of frailty. CONCLUSIONS: We maintain that integration of multidimensional assessment, with special attention to comorbidity status and to frailty (particularly autonomy level and nutritional status), and the different approaches may allow optimal healing of PUs.


Assuntos
Idoso Fragilizado , Úlcera por Pressão/fisiopatologia , Idoso , Idoso de 80 Anos ou mais , Comorbidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Úlcera por Pressão/epidemiologia , Estudos Retrospectivos
3.
Aging Clin Exp Res ; 16(2): 132-8, 2004 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-15195988

RESUMO

BACKGROUND AND AIMS: In a geriatric patient, nutritional status (NS), particularly in the case of malnutrition (M), may influence not only clinical results but also achievement of targets expected by geriatric rehabilitation. The aim of this study was to evaluate the effect of nutritional status (NS) on the occurrence of Adverse Clinical Events (ACE) and on mortality in geriatric rehabilitation patients. METHODS: We retrospectively examined the clinical records of 278 elderly subjects (154 women, 124 men), admitted to a geriatric hospital between September 2000 and December 2001 and evaluated for clinical, functional, cognitive and NS within the first 48 hours of admission. Clinical outcomes (ACE, mortality) were recorded during follow-up. Logistic regression analysis estimated models having mortality or the occurrence of ACE as outcome variables. RESULTS: Malnutrition was detected upon admission in 56.1% of the sample population. Incidence of ACE in malnourished subjects was higher than that in well-nourished patients (28.2 vs 13.1%). Equally, mortality among malnourished subjects was higher than among those whose NS was normal (23.1 vs 9.8%). The logistic regression models were able to predict: 1) mortality from comorbidity (OR 1.43; 95% CI 1.16-1.78; p=0.001) and NS (OR 2.64; 95% CI 1.29-5.4; p=0.008), and 2) occurrence of ACE from comorbidity (OR 1.69; 95% CI 1.36-2.1; p=0.000), cognitive (OR 1.22; 95% CI 1.11-1.35; p=0.000) and nutritional status (OR 2.38; 95% CI 1.19-4.8; p=0.015). CONCLUSIONS: NS emerged as the main independent predictor of both mortality and occurrence of ACE. Although most patients fell into the category of mild/moderate (energy) malnutrition (148/156), a mild deterioration of NS, for instance, reduction in triceps skinfold thickness (TSF) seemed to be sufficient to cause an increase in the incidence of ACE and in mortality.


Assuntos
Geriatria/estatística & dados numéricos , Desnutrição/terapia , Estado Nutricional/fisiologia , Atividades Cotidianas , Idoso , Idoso de 80 Anos ou mais , Análise de Variância , Depressão/diagnóstico , Depressão/reabilitação , Depressão/terapia , Feminino , Avaliação Geriátrica/métodos , Avaliação Geriátrica/estatística & dados numéricos , Geriatria/métodos , Nível de Saúde , Hospitalização , Humanos , Modelos Logísticos , Masculino , Desnutrição/diagnóstico , Desnutrição/reabilitação , Entrevista Psiquiátrica Padronizada , Pessoa de Meia-Idade , Avaliação Nutricional , Estudos Retrospectivos , Cidade de Roma , Índice de Gravidade de Doença , Análise de Sobrevida , Resultado do Tratamento
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