Predictors of relapse of Graves disease after antithyroid drug withdrawal
P. Wang1, I. Chen1, S. Juo2, E. Hsi2, R. Liu1 & C. Hsieh1
For patients with Graves disease (GD), the primary goal of antithyroid drug therapy is to temporarily restore the patient to the euthyroid state and wait for a subsequent remission of the disease. This study sought to identify the predictive markers for the relapse of disease.
To do this, we studied 262 GD patients with long enough follow-up after drug withdrawal to determine treatment outcome. The patients were divided into three groups by time of relapse: early relapse group (n=91) had an early relapse within 9 months, late relapse group (n=65) had a relapse between 1036 months, and long-term remission group (n=105) were either still in remission after at least 3 years or relapsed after 3 years of drug withdrawal. We assessed the treatment outcome of 23 SNPs of costimulatory genes, phenotype and smoking habits. We used permutation to obtain P values for each SNP as an adjustment for multiple testing. Cox proportional hazards models was performed to assess the strength of association between the treatment outcome and clinical and laboratory variables.
Four SNPs were significantly associated with disease relapse: rs231775 (OR, 1.96, 95% CI, 1.183.26) at CTLA-4 and rs745307 (OR, 7.97, 95% CI, 1.0162.7), rs11569309 (OR, 8.09, 95% CI, 1.0363.7), and rs3765457 (OR, 2.60, 95% CI, 1.086.28) at CD40. Combining risk alleles at CTLA-4 and CD40 improved the predictability of relapse. Using 3 years as the cutoff point for multivariate analysis, we found several independent predictors of disease relapse: number of risk alleles (HR, 1.30; 95% CI, 1.091.56), a large goiter size at the end of the treatment (HR, 1.30; 95% CI, 1.051.61), persistent TSH-binding inhibitory Ig (HR, 1.64; 95% CI, 1.152.35), and smoking habit (HR, 1.60; 95% CI, 1.052.42).
In conclusion, genetic polymorphism of costimulatory genes, smoking status, persistent goiter, and TSH-binding inhibitory Ig predict disease relapse.
Declaration of interest: The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research project.
Funding: This work was supported, however funding details are unavailable.