Variable | Coefficient | P-value | OR | 95% CI |
---|---|---|---|---|
Baseline TSH | 0.38 | 0.001 | 1.46 | 1.17 to 1.81 |
Baseline FT4 | −0.86 | <0.001 | 0.42 | 0.27 to 0.66 |
Newb amiodarone prescription | 4.61 | 0.001 | 92.1 | 5.64 to 1501.39 |
Newb AF diagnosis | 2.00 | 0.012 | 7.41 | 1.56 to 35.14 |
Newb renal disease diagnosis | 1.57 | 0.044 | 4.81 | 1.04 to 22.22 |
↵a In all, 31 variables were available for construction of logistic regression models, comprising 22 disease categories, amiodarone use, alcohol use, smoking status, family history of thyroid dysfunction, age, sex, IMD score, and baseline TSH and FT4. Seven disease groups and family history were removed to maximise the dataset available for analysis where data were missing for ≥1% of the population. The forward stepwise method was used with a significance level of 5% for variable inclusion, and 10% for variable removal. Eight variables were entered to the final model, though existing (at baseline) diagnoses of AF, renal disease, or amiodarone use did not make a significant contribution to the final model.
↵b Prescription or diagnosis occurring for the first time after the initial baseline screening episode. AF = atrial fibrillation. FT4 = free thyroxine. IMD = Index of Multiple Deprivation. OR = odds ratio. TSH = thyroid stimulating hormone.