
Coefficients^{b} (95% confidence interval)



No imputation

Multiple imputation



Six months onward

One year onward

Six months onward

One year onward


Intercept

1.26 (0.98, 1.54)

1.91 (1.66, 2.16)

1.31 (1.12, 1.49)

1.39 (1.19, 1.58)

Neuroinvasive disease

0.03 (−0.27, 0.34)

0.04 (−0.23, 0.30)

0.02 (−0.17, 0.22)

0.01 (−0.18, 0.19)

Age per 10 years, centered at 50 years

−0.08 (−0.19, 0.03)

−0.08 (−0.18, 0.014)

−0.03 (−0.10, 0.04)

−0.02 (−0.09, 0.05)

Male

0.26 (−0.02, 0.53)

0.02 (−0.29, 0.33)

0.15 (−0.03, 0.33)

0.10 (−0.08, 0.27)

Number of comorbid conditions

−0.25 (−0.35, −0.14)

−0.46 (−0.62, −0.30)

−0.16 (−0.24, −0.09)

−0.13 (−0.21, −0.05)

Baseline utility (centred)

1.70 (0.74, 2.67)

0.58 (−0.52, 1.68)

0.84 (0.06, 1.62)

0.29 (−0.61, 1.18)

 Statistically significant results are in bold

^{a}Area under the curve is the integral of the utilitytime curve after one year. Areas are timeweighted (Total area after one year ÷ followup time)

^{b}Coefficients and patient characteristics can be substituted into the following equation to calculate the area under the curve: \( {\displaystyle \begin{array}{l} Logit\left( Mean\left( Utility score\right)\right)={\beta}_0+{\beta}_1\left(\mathrm{Neuroinvasive}\ \mathrm{disease}\right)+{\beta}_2\left(\frac{\mathrm{Age}50\ \mathrm{years}\ \mathrm{old}}{10}\right)+{\beta}_3\left(\mathrm{male}\right)+\\ {}{\beta}_4\left(\mathrm{No}.\mathrm{comorbid}\ \mathrm{conditions}\right)+{\beta}_5\left(\mathrm{Baseline}\ \mathrm{utility}\ \mathrm{score}0.50\right)\end{array}} \)For example, the regression equation for area under the curve past six months in a 60 year old male with neuroinvasive disease, one comorbid condition and a baseline utility score of 0.60 would be: 1.31 (intercept) + 0.02 (neuroinvasive) – 0.03 (ten years greater than 50 years old) + 0.15 (male) – 0.16 (one comorbid condition) + 0.84 * 0.10 (baseline utility score was 0.10 greater than 0.50) = 1.434. Taking the inverse logit, this particular patient would have a predicted longterm utility score of: \( \frac{e^{1.434}}{1+{e}^{1.434}} \)= 0.81