Subtypes defined by increase/decrease in appetite/weight were tested next. Increased appetite/weight almost perfectly predicted LCA-atypical (Area Under the Curve [AUC]:0.99; 95%CI=0.98–1.00; sensitivity 98.4%; specificity 99.5%), while the prediction of LCA-typical by decreased appetite/weight subtype was less accurate (AUC:0.81; 95%CI=0.78–0.83; sensitivity 87.8%; specificity 72.8%), suggesting that other symptoms beyond appetite/weight may be relevant to reliably identify this subtype. The decreased appetite/weight subtype captured indeed a large proportion of participants classified in LCA moderate class (Supplemental Methods). Multinomial logistic regression analyses testing the associations between GPRS and appetite/weight subtypes resulted in profiles (eFigure 2) similar to LCA-subtypes. In a sensitivity analysis addressing the impact of the symptoms increased weight when testing the association with GPRS-BMI we identified the atypical-like cases (N=364) using only the symptom increased appetite. The strength of the association (OR=1.19, 95%CI=1.06–1.34, p=0.004) with GPRS-BMI Pt<0.0001 was similar to that found when combining the two symptoms in the increased appetite/weight sub-phenotype (OR=1.20,95%CI=1.06–1.33, p=0.003; eFigure 2).
