Desnutrição na insuficiência renal crônica: qual o melhor método diagnóstico na prática clínica?

Oliveira, Cláudia Maria Costa de; Kubrusly, Marcos; Mota, Rosa Salani; Silva, Carlos Antônio Bruno da; Oliveira, Valzimeire N.

doi:10.1590/s0101-28002010000100011

Cited by 43 publications

(39 citation statements)

References 56 publications

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“…The GSA adapted to kidney patients identified a large part of the sample as malnourished (92.9% between mild and moderate malnutrition), with no statistically significant difference in weight, BMI, skinfolds, body fat, APMT, and PGS. Similar data are found in the study by Oliveira et al (2010) who, when using classical GSA and adapted GSA, perceived differences in the identification of malnutrition. In classical GSA, 39.7% of patients were mildly/ moderately malnourished and 60.3% were well nourished.…”

Section: Methods Of Nutritional Evaluation Between Patients In Hemodisupporting

confidence: 87%

“…Thus, the authors concluded that APMT may be a useful parameter for the early diagnosis of malnutrition and a mortality risk marker in this population 25. A study by Oliveira et al (2010) assessed different diagnostic methods for malnutrition in chronic kidney failure, finding similar data to that of this study (94.8% of malnutrition by kidney GSA, 84.5% by TSF, 12.1% by BMI, and 43% when assessed by AMC) and found that it is difficult to assess the nutritional status of patients on dialysis since there is no single criterion that can be used for their identification, which often delays the diagnosis.…”

Section: Methods Of Nutritional Evaluation Between Patients In Hemodisupporting

confidence: 80%

“…According to the ASG adapted to the renal patient, 94.8% of the patients were at nutritional risk / mild malnutrition, and they also did not identify a significant correlation with BMI, triceps skinfold (TSF), arm circumference (AC), arm muscle circumference (AMC), albumin, lean mass, and fat mass 16 . The GSA adapted to the kidney patients classifies the patient who is on dialysis for more than 2 years with a score of 9, even if the other indicators of their clinical history and physical examination were normal, which already qualifies them as nutritional risk/ slight malnutrition; which explains why the prevalence of malnutrition in the study population was high, since the mean time in HD was 29.9 ± 26.6 months.…”

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 94%

“…Insufficient dietary intake of protein and energy is indicated as one of the main causes of malnutrition in dialysis treatments, and correlates with lean body mass index and adiposity. This deficient intake can be justified by several factors such as decreased taste, chronic inflammation, rigorous dietary restriction, excessive medication, worsening of quality of life, hormonal and gastrointestinal disorders, intercurrent diseases, sedentary lifestyle, uremia, loss of nutrients during dialysis treatment, insufficient or inadequate dialysis, and psycho-emotional and social factors 16 . Ribeiro et al (2011) state that values of protein intake below the recommended values suggest a negative nitrogen balance, which would compromise the nutritional status of the hemodialysis patient 17 .…”

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 99%

“…They suggest that the evaluation of malnutrition while on dialysis should be based on multiple indicators of nutritional status 16 . The present study presents limitations, mainly in relation to the size of the sample which, in itself, conditions the reading of the results and conclusions.…”

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 99%

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Methods of nutritional evaluation between patients in hemodialysis

Bertoni¹,

Bettinelli²,

Pasqualotti³

et al. 2017

Mundo Saúde

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Chronic kidney disease is a public health problem. Characterizing the nutritional profile of these patients allows early diagnosis of possible nutritional risks. The objective was to evaluate the nutritional status and dietary intake of hemodialysis patients. A cross-sectional study was performed at a hemodialysis clinic from February to April 2016. Patients 18 years of age or older who underwent treatment for at least three months and were able to perform the Bioimpedance test were included. Nutritional status was determined by Body Mass Index. The Palmar Grip Strength was measured by dynamometer and the Adductor Muscle Thickness of the Thumb was by an adipometer, food intake was analyzed through a 24-hour Food Recall. A Global Subjective Assessment was performed, adapted for kidney patients. Of the 33 patients, 66.7% were males, with a mean age of 57.6 ± 14.2 years. According to the body mass index, eutrophy was prevalent (54.5%). The thickness of the adductor muscle of the thumb showed severe depletion (66.7%). Palmar grip strength ranked 72.7% of patients as malnourished. Body Fat, obtained through Bioimpedance, was high in 57.6%. The Global Subjective Assessment ranked 87.9% of patients with mild malnutrition. According to the 24-hour food recall, the total caloric intake averaged 1493 ± 530 Kcal. The protein mean was 0.88 ± 0.4 g / kg. The study allowed to visualize nutritional alterations, food intake below the recommended amounts, and different classifications of the nutritional state depending on the method used. Thus, a comprehensive nutritional assessment becomes important.

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Section: Methods Of Nutritional Evaluation Between Patients In Hemodisupporting

confidence: 87%

Section: Methods Of Nutritional Evaluation Between Patients In Hemodisupporting

confidence: 80%

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 94%

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 99%

Section: Methods Of Nutritional Evaluation Between Patients In Hemodimentioning

confidence: 99%

See 3 more Smart Citations

Methods of nutritional evaluation between patients in hemodialysis

Bertoni¹,

Bettinelli²,

Pasqualotti³

et al. 2017

Mundo Saúde

View full text Add to dashboard Cite

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Protein-energy wasting, as well as overweight and obesity, is a long-term risk factor for mortality in chronic hemodialysis patients

et al. 2014

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We showed that low values of SGA, nPNA, and PhA independently predict mortality in HD patients. In conjunction with an earlier study, we demonstrated that the relative risk of death associated with these markers is highest during the first year of monitoring and it decreases in the following 4 years, although it still remains significantly increased. On the other hand, overweight and obesity were also associated with lower survival after 5 years, whereas this association was not apparent after 1 year.

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