Obesity Paradox in Recurrent Attacks of Gout in Observational Studies: Clarification and Remedy.
Pubmed ID: 27331767
Pubmed Central ID: PMC5179319
Journal: Arthritis care & research
Publication Date: April 1, 2017
MeSH Terms: Humans, Male, Adult, Odds Ratio, Risk Factors, Logistic Models, Middle Aged, Randomized Controlled Trials as Topic, Body Mass Index, Risk Assessment, Multivariate Analysis, Incidence, Obesity, Time Factors, Databases, Factual, Research Design, Gout, Recurrence, Observational Studies as Topic
Grants: P60 AR047785, K01 AR064351, R21 AR068493, R01 AR065944
Authors: Zhang Y, Choi HK, Nguyen UD, Louie-Gao Q, Niu J, Felson DT, LaValley MP
Cite As: Nguyen UD, Zhang Y, Louie-Gao Q, Niu J, Felson DT, LaValley MP, Choi HK. Obesity Paradox in Recurrent Attacks of Gout in Observational Studies: Clarification and Remedy. Arthritis Care Res (Hoboken) 2017 Apr;69(4):561-566.
Studies:
Abstract
OBJECTIVE: Obesity is strongly associated with incident gout risk, but its association with the risk of recurrent gout attacks has been null or weak, constituting an obesity paradox. We sought to demonstrate and overcome the methodologic issues associated with the obesity paradox for risk of recurrent gout attacks. METHODS: Using the Multiple Risk Factor Intervention Trial database, we decomposed the total effect of obesity into its direct and indirect (i.e., mediated) effects using marginal structural models. We also estimated the total effect of body mass index (BMI) change from baseline among incident gout patients. RESULTS: Of 11,816 gout-free subjects at baseline, we documented 408 incident gout cases, with 132 developing recurrent gout attacks over a 7-year followup period. The adjusted odds ratio (OR) for incident gout among obese individuals was 2.6, whereas that for recurrent gout attacks among gout patients was 0.98 (i.e., the obesity paradox). These ORs correlated well with the ORs for the indirect and direct effects of obesity on the risk of recurrent gout attacks (2.83 and 0.98, respectively). Compared with no BMI change, the OR of increasing versus decreasing >5% of baseline BMI was 0.61 and 1.60 for recurrent gout attacks, respectively (P for trend < 0.01), suggesting a dose-response association. CONCLUSION: The obesity paradox for the risk of recurrent gout attacks is explained by the absence of the direct effect, which is often measured in conventional analyses and misinterpreted as the intended total effect of interest. In contrast, the BMI change analysis correctly estimated the intended total effect of BMI, and revealed a dose-response relationship.