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.
Author(s) -
Antonia Caroline Diniz Brito Pinheiro,
Natalino Salgado Filho,
Ana Karina Teixeira da Cunha França,
Andréa Martins Melo Fontenele,
Alcione Miranda dos Santos
Publication year - 2018
Publication title -
nutrición hospitalaria
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.31
H-Index - 53
eISSN - 1699-5198
pISSN - 0212-1611
DOI - 10.20960/nh.1880
Subject(s) - medicine , kidney disease , overweight , anthropometry , body mass index , obesity , dual energy x ray absorptiometry , population , body fat percentage , dialysis , gastroenterology , osteoporosis , bone mineral , environmental health
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.
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