MON-637 - Performance of Bioelectrical Impedance in Estimating Body Fat in Patients with Type 2 Diabetes According to Cutoffs Based on the Presence of Metabolic Syndrome

Introduction: There is currently a great interest in evaluating adiposity markers,
relating them to the presence of clinical health outcomes, to better identify high-
risk patients. The cut-off points for body fat have traditionally been defined
based on obesity criteria, i.e. according to BMI. Recently, cut-off points for body
fat estimated by Dual-energy X-ray absorptiometry (DEXA; reference method)
have been suggested based on the presence of metabolic syndrome.
Considering that Bioelectrical Impedance (BIA) is a more accessible, practical
and less expensive technique, evaluating its performance based on these
criteria could provide more confidence to this method.

Objective: To evaluate
the performance of Bioelectrical Impedance analysis (BIA) for estimation of
percentage body fat (PBF) in patients with type 2 diabetes, comparing it to
DEXA, based on the presence of metabolic syndrome.

Methods: A diagnostic
accuracy study. PBF was assessed using BIA and DXA. Total and trunk fat
were estimated using segmental multifrequency direct BIA (InBody 230,
Biospace, Seoul, Korea) and DEXA (Lunar iDXA; General Electric). ROC
curves were constructed to assess the ability of BIA to identify individuals with
increased body fat, both using DEXA thresholds and cutoffs based on the
presence of metabolic syndrome, as proposed by the criteria of Potter et al.
(25% and 36% PBF for men and women, respectively). Analyses were stratified
by sex.

Results: A total of 133 patients were evaluated (76 women; age: 63.6 ±
9.1 years; body mass index [BMI]: 29.2 ± 3.6 kg/m2). PBF estimated by DEXA
was 42.4 ± 4.8% in women and 31.1 ± 4.7% in men (p<0.001). The correlation
of the PBF estimated by BIA with that estimated by DEXA was 0.93 (p<0.001).
The area under the ROC curves for BIA was 0.980 (SE: 0.015; p<0.001) in
women and 0.941 (SE: 0.035; p<0.001) in men. The optimal cutoff points were
33.1% for women and 25.7% for men.

Conclusions: In patients
with type 2 diabetes, BIA has proved accurate in identifying patients with risk of
metabolic syndrome and based on this analysis, maybe the recommended
cutoff points could be 33.1% for women and 25.7% for men.

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