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. 2008 Nov;173(5):1518–1527. doi: 10.2353/ajpath.2008.080475

Table 3.

Cox Proportional Hazards Regression Modeling: Time to First Recurrence

Independent variable Frequency
Univariate analysis
Multivariate reduced model
n % HR 95% CI P HR 95% CI P
Mutation
 41A 68 51 1.03 0.45 2.37 0.9423 1.11 0.48 2.56 0.8064
 45F 37 28 3.05 1.32 7.04 0.0092 3.50 1.51 8.14 0.0036
 45P 9 7 1.15 0.34 3.93 0.8259 1.13 0.33 3.86 0.8499
 WT (no mutation) 19 14 1.00
Gender
 Female 81 61 1.29 0.78 2.14 0.3234
 Male 52 39 1.00
Site
 Extremity 53 40 3.52 1.24 9.95 0.0178
 Superficial trunk 52 39 2.50 0.87 7.18 0.0900
 Head and neck 11 8 1.50 0.34 6.72 0.5956
 Deep trunk/viscera 17 13 1.00
Age at diagnosis (years) 0.98 0.96 1.00 0.0209 0.98 0.96 0.99 0.0059
Tumor size (cm) 0.95 0.90 1.02 0.1505

Cox proportional hazards univariate and multivariate reduced models. This time to recurrence analysis is from the initial surgical procedure (whether at UTMDACC or elsewhere) to the first recurrence. In the multivariate model, both mutation type and age were significant independent predictors of time to recurrence with a 3.5-fold increase in hazard among those with mutation 45T versus no mutation and a 2% decrease in hazard for each year increase in age at diagnosis. Of the 138 patients 133 were used in this cohort; 5 had missing data and were excluded. n, number of patients; HR, hazard ratio; CI, confidence interval; WT, wild type, not mutated.