Assessing and Predicting Cutaneous Leiomyoma Severity in Hereditary Leiomyomatosis and Renal Cell Cancer Syndrome: An Observational Study

- Supplementary Methods and STROBE Statement - Table S1. Number of CLs in Association with Age, Sex and GPV type. Negative Binomial Regression Model - Table S2. CL-related Pain in Association with Age, Sex and GPV type. Ordinal Logistic Regression Model - Table S3. CL-related Pain (0 vs >0) in Association with Body Location and Lesion Count. Binary Logistic Regression Model - Table S4. CL-related DLQI (0 vs >0) in Association with Age, Sex, GPV type, Pain, and Lesion Count. Binary Logistic Regression Model - Table S5. Post-hoc Power Analyses for Predictors with Significant Unadjusted P-values