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Univariable analysis
Univariable logistic regression analysis indicated that T4-stage tumor (OR 3.29; 95% CI 1.50– 7.18, p = .003), initially lower BMI (per 1 unit increase OR 0.89; 95% CI 0.85–0.94, p < .001), weight loss over the past six months (< 10% OR 1.94; 95% CI 1.17–3.22, p = .010 and > 10% OR 5.96; 95% CI 2.98–11.94, p < .001), pain (OR 1.74; 95% CI 1.12–2.69, p = .013), dysphagia (OR 2.15; 95% CI 1.39–3.33, p = .001) and an FOIS below 7 (OR 3.36; 95% CI 2.05–5.51, p < .001) were associated with an increased risk of prolonged feeding tube dependency (Table 1a and 1b).
Risk prediction model
The initial multivariable model included the known predictors T-stage, BMI, dysphagia, weight loss and the FOIS. The regression coefficient of dysphagia was -0.09 (SE 0.32) and was therefore excluded from the final model. Statistically significant prediction in the final model were BMI (OR 0.93; 95% CI 0.88–0.99, p = .019) and > 10% weight loss over the last six months before treatment (OR 2.66; 95% CI 1.15–6.39, p = .024) (see Table 2).
Table 2 Multivariable logistic regression analysis with prolonged (> 90 days) feeding tube dependency as outcome presented in odds ratios and p values. Boldfaced p values are significant. The regression coefficients and shrinkage factors assessed by bootstrap analysis with 200 repetitions are also presented.
T-stage
BMI (1 unit increase)
Weight loss
FOIS
T1 1.00
T2 T3 T4
1.16 (0.48–2.90) .750 1.46 (0.64–3.54) .381 2.07 (0.92–4.91) .087
0.93 (0.88–0.99) .019
0.15 (0.46) 0.38 (0.44) 0.73 (0.43)
-0.07 (0.03)
0.36 (0.28) 0.98 (0.43)
0.54 (0.31)
-0.012 (0.544)
-0.025 (0.516) 7 -0.005 (0.488)
-0.002 (0.034)
0.009 (0.296) 0.051 (0.492)
0.018 (0.308)
No 1.00
< 10% > 10%
1.43 (0.82–2.48) .207 2.66 (1.15–6.39) .024
Prediction model for tube feeding during CRT
Multivariable analysis
Regression coefficient (SE)
Shrinkage factor (SE)
OR (95% CI)
p value
7 1.00
<7
1.72 (0.94–3.14) .076
Abbreviations: BMI = body mass index, CI = confidence interval, FOIS = Functional Oral Intake Scale, OR = odds ratio, SE = standard error.
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