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1.
J Ren Nutr ; 32(6): 739-743, 2022 11.
Artigo em Inglês | MEDLINE | ID: mdl-35131413

RESUMO

OBJECTIVE: The aim is to verify the association between nutritional status and muscle strength, considering handgrip strength (HGS) cutoffs associated with sarcopenia and mortality. METHODS: Cross-sectional analysis, including hemodialysis patients. Malnutrition Inflammation Score (MIS) was used to assess nutritional status. Muscle function was assessed by HGS, and the considered cutoffs were established by other studies. Cutoffs for sarcopenia diagnosis were 27 and 16 kg for males and females, respectively; cutoffs associated with mortality were 22 and 7 kg for males and females, respectively. Two binary logistic regression models were built, with HGS categorized according to the cutoff for sarcopenia and mortality as dependent variables. RESULTS: Of the 218 patients who were included, 56.9% were male, the mean age was 58.3 years, and 44.7% diabetic; 132 patients (60.6%) had HGS <27 or 16 kg. Age, prevalence of diabetes, and MIS were higher, creatinine and albumin were lower in patients with HGS below these values; 77 patients (35.2%) had HGS <22 or 7 kg. Age, male, and diabetes prevalence, CRP and MIS were higher, midarm muscle circumference (MAMC), creatinine, albumin, and urea were lower in patients with HGS below these values. In the logistic regression MIS (OR 1.202; 95% CI 1.073-1.347; P < .01), age, male, diabetes, and MAMC were associated with the risk of HGS below the cutoffs for sarcopenia. MIS (OR 1.322; 95% CI 1.192-1.467; P < .01), age, male, and diabetes were associated with the risk of HGS below the cutoffs associated with mortality. CONCLUSION: Worse nutritional status increases the risk of HGS below the cutoffs associated with sarcopenia and mortality in hemodialysis patients.


Assuntos
Diabetes Mellitus , Desnutrição , Sarcopenia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Força da Mão/fisiologia , Sarcopenia/epidemiologia , Estudos Transversais , Creatinina , Desnutrição/epidemiologia , Diálise Renal , Estado Nutricional , Inflamação , Albuminas
2.
Clin Nutr ESPEN ; 17: 63-67, 2017 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-28361749

RESUMO

BACKGROUND: Malnutrition is a strong predictor of mortality on hemodialysis patients, especially when it is associated with inflammation. Malnutrition Inflammation Score (MIS) is a simple and low cost tool which assesses the presence of malnutrition associated with inflammation. Therefore, the aim is to evaluate if MIS is associated with mortality in patients on maintenance hemodialysis and establish a cut-off to predict mortality at different follow-up periods. METHODS: Observational retrospective cohort study including 215 patients on hemodialysis between July 2012 and June 2014, censored until November 2015. MIS was used to assess patient's nutritional status at the moment they were enrolled in the study. They were followed for at least 18 months. RESULTS: At the end of 18 months, 38 (17.7%) deaths, 20 renal transplants (9.3%), four facilities transference (1.9%), three dialysis method change (1.4%) and one renal function recovery (0.5%) were observed. One hundred seventy one patients completed at least 24 months of follow-up, and during this additional period, there were five deaths and one renal transplant more. Score higher than 7 points was able to predict mortality for both follow-up periods using sensitivity and specificity analysis and ROC curves. Using this cut-off on Kaplan-Meier survival curve, it was possible to confirm the association of MIS with all-cause mortality at 18 months and 24 or more months of follow-up. Finally, Cox multivariate analysis adjusted for demographic, clinical and nutritional variables showed MIS as the only significant predictor of mortality. CONCLUSION: MIS is an independent predictor of mortality in hemodialysis patients.


Assuntos
Técnicas de Apoio para a Decisão , Inflamação/diagnóstico , Falência Renal Crônica/terapia , Desnutrição/diagnóstico , Avaliação Nutricional , Estado Nutricional , Diálise Renal/mortalidade , Adulto , Idoso , Idoso de 80 Anos ou mais , Área Sob a Curva , Brasil/epidemiologia , Distribuição de Qui-Quadrado , Feminino , Humanos , Inflamação/mortalidade , Inflamação/fisiopatologia , Estimativa de Kaplan-Meier , Falência Renal Crônica/diagnóstico , Falência Renal Crônica/mortalidade , Falência Renal Crônica/fisiopatologia , Masculino , Desnutrição/mortalidade , Desnutrição/fisiopatologia , Pessoa de Meia-Idade , Análise Multivariada , Valor Preditivo dos Testes , Prevalência , Modelos de Riscos Proporcionais , Curva ROC , Diálise Renal/efeitos adversos , Reprodutibilidade dos Testes , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do Tratamento , Adulto Jovem
3.
Clin Nutr ; 35(6): 1429-1433, 2016 12.
Artigo em Inglês | MEDLINE | ID: mdl-27083497

RESUMO

BACKGROUND & AIMS: Muscle wasting is associated with mortality in dialysis patients. The measurement of muscle mass has some limitations, while muscle strength assessment is simple, safe and allows the recognition of patients at risk of progressing to poor outcomes related to malnutrition. The aim of this study is verify if handgrip strength (HGS) is associated with all-cause mortality in patients in maintenance haemodialysis (HD) and peritoneal dialysis (PD). METHODS: This was an observational retrospective cohort study which included all patients in maintenance HD and PD from July 2012 to October 2014. Patients were followed-up until June 2015. RESULTS: Two-hundred sixty five patients were enrolled (218 HD and 47 PD) and they were followed for 13.4 ± 7.9 months. During the follow-up period, 53 patients (20%) have died, 36 patients (13.6%) have undergone renal transplantation, 13 patients (4.9%) have switched off dialysis method and 5 patients (1.9%) have transferred to another facility. The cut-off of HGS able to predict mortality was 22.5 kg for men and 7 kg for women. Using this cut-off to fit the Kaplan-Meier survival curve, the association of HGS with all-cause mortality for both genders was confirmed. Finally, in the multivariate analysis adjusted for demographic, clinical and nutritional variables, HGS remained significant predictor of mortality, independent of dialysis modality. CONCLUSIONS: HGS cut-offs that predict mortality were 22.5 kg for men and 7 kg for women. HGS was associated with mortality independent of dialysis modality.


Assuntos
Força da Mão , Falência Renal Crônica/terapia , Mortalidade , Diálise Peritoneal , Diálise Renal , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Seguimentos , Humanos , Estimativa de Kaplan-Meier , Transplante de Rim , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Avaliação Nutricional , Estado Nutricional , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Adulto Jovem
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