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Nutrición Hospitalaria

versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611

Resumen

DINIZ-BRITO-PINHEIRO, Antonia-Caroline et al. Sensitivity and specificity of the body mass index in the diagnosis of obesity in patients with non-dialysis chronic kidney disease: a comparison between gold standard methods and the cut-off value purpose. Nutr. Hosp. [online]. 2019, vol.36, n.1, pp.73-79. ISSN 1699-5198.  http://dx.doi.org/10.20960/nh.1880.

Introduction:

nutritional status is an important predictor of prognosis in chronic kidney disease (CKD), including pre-dialysis. Anthropometric measures universally used for the diagnosis of obesity in the general population may not present the same performance in individuals with CKD.

Objective:

to verify the sensitivity and specificity of body mass index (BMI) in relation to the percentage of body fat (%BF) obtained by dual energy X-ray absorptiometry (DEXA) and air displacement plethysmography (PDA) for patients with non-dialysis chronic kidney disease.

Methods:

BMI was obtained. DEXA and ADP were used to determine %BF and they were considered as gold standard methods.

Results:

a total of 78 patients were evaluated, with a mean age of 54.4 ± 13.9 years old. There was a higher prevalence of overweight/obesity (55.2%), according to BMI, and high %BF, according to DEXA (69.2%) and ADP (53.8%). BMI showed a statistically significant correlation with the %BF obtained by both methods and in both sexes (p < 0.05). To detect high %BF, a BMI of 25 kg/m2 had better sensitivity and specificity values for DEXA (73.3% and 66.7%, respectively) and ADP (77.3% and 52.9%, respectively) in men, and for DEXA (79.9% and 46.7%, respectively) in women. However, a BMI of 26 kg/m2 for ADP in women would be more accurate (70.0% and 73.7%, respectively).

Conclusion:

the prevalence of patients with excess body fat was high. The conventional cut-off points for BMI were not adequate in these patients and suggested that BMI ≥ 25 kg/m2 were more accurate for diagnosing obesity.

Palabras clave : Body composition; Renal insufficiency; Adipose tissue; Body mass index.

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