TY - JOUR
T1 - Serum uric acid is a predictive biomarker of incident metabolic syndrome at the Brazilian longitudinal study of adult Health (ELSA – Brasil)
AU - Haueisen Sander Diniz, Maria de Fátima
AU - M.R. Beleigoli, Alline
AU - Isabel Rodrigues Galvão, Aline
AU - Weiss Telles, Rosa
AU - Inês Schmidt, Maria
AU - B. Duncan, Bruce
AU - M. Benseñor, Isabela
AU - Luiz P. Ribeiro, Antônio
AU - Vidigal, Pedro G.
AU - Maria Barreto, Sandhi
PY - 2022/9
Y1 - 2022/9
N2 - Aim: To investigate whether serum uric acid (SUA) levels and hyperuricemia can be predictive biomarkers of incident metabolic syndrome(MS) among different body mass index(BMI) categories, and to investigate SUA cutoffs that best discriminate individuals with incident MS. Methods: We analyzed 7,789 participants without MS at baseline of ELSA-Brasil study. Logistic regression models were performed to evaluate associations between incident MS and SUA levels/hyperuricemia, expressed by odds ratios(ORs) and confidence intervals(95 % CI). Results: We found 1,646 incident MS cases after a median follow-up of 3.8[3.5–4.1] years. Incident MS was present among 8.3 % (n = 290) of participants with normal weight, 28.3 % (n = 850) with overweight, 39.8 % (n = 506) with obesity. Among incident MS participants of total sample, 33.0 % had hyperuricemia [SUA > 6.0 mg/dL (356.9 μmol/L)]. After all adjustments, SUA was independently prognostic of incident MS: for each 1 mg/dL increase in SUA the odds of incident MS were 45 % higher (OR1.45[CI95 %1.34–1.55 p <.01]). Associations were found for those presenting normal weight, overweight and obesity (OR1.43[CI95 %1.31–1.57 p <.01; OR1.22[CI95 %1.13–1.32 p <.01]; and OR1.16[CI95 %1.04–1.29 p <.05]) respectively. Hyperuricemia was independently associated with incident MS (OR1.88[CI95 %1.49-0.2.36 p <.01]). The SUA cut point level maximizing sensitivity and specificity in the discrimination of incident MS was 5.0 mg/dL. Conclusions: SUA level is an independent predictive biomarker of incident MS at all BMI categories.
AB - Aim: To investigate whether serum uric acid (SUA) levels and hyperuricemia can be predictive biomarkers of incident metabolic syndrome(MS) among different body mass index(BMI) categories, and to investigate SUA cutoffs that best discriminate individuals with incident MS. Methods: We analyzed 7,789 participants without MS at baseline of ELSA-Brasil study. Logistic regression models were performed to evaluate associations between incident MS and SUA levels/hyperuricemia, expressed by odds ratios(ORs) and confidence intervals(95 % CI). Results: We found 1,646 incident MS cases after a median follow-up of 3.8[3.5–4.1] years. Incident MS was present among 8.3 % (n = 290) of participants with normal weight, 28.3 % (n = 850) with overweight, 39.8 % (n = 506) with obesity. Among incident MS participants of total sample, 33.0 % had hyperuricemia [SUA > 6.0 mg/dL (356.9 μmol/L)]. After all adjustments, SUA was independently prognostic of incident MS: for each 1 mg/dL increase in SUA the odds of incident MS were 45 % higher (OR1.45[CI95 %1.34–1.55 p <.01]). Associations were found for those presenting normal weight, overweight and obesity (OR1.43[CI95 %1.31–1.57 p <.01; OR1.22[CI95 %1.13–1.32 p <.01]; and OR1.16[CI95 %1.04–1.29 p <.05]) respectively. Hyperuricemia was independently associated with incident MS (OR1.88[CI95 %1.49-0.2.36 p <.01]). The SUA cut point level maximizing sensitivity and specificity in the discrimination of incident MS was 5.0 mg/dL. Conclusions: SUA level is an independent predictive biomarker of incident MS at all BMI categories.
KW - Biomarker
KW - Cohort
KW - Hyperuricemia
KW - Incidence study
KW - Metabolic syndrome
KW - Uric acid
UR - http://www.scopus.com/inward/record.url?scp=85137287283&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2022.110046
DO - 10.1016/j.diabres.2022.110046
M3 - Article
C2 - 36028067
AN - SCOPUS:85137287283
SN - 0168-8227
VL - 191
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
M1 - 110046
ER -