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Table 5 Linear regression model of factors predictive of serum and urine concentrations of morphine (n = 24)

From: Serum and urine concentrations of morphine and morphine metabolites in patients with advanced cancer receiving continuous intravenous morphine: an observational study

Outcome

Factors Contributing to outcome

Estimates for individual factors with model 1

Estimate for model 1

Estimate for model 2

Coef.

P-value

Adjusted R2

Adjusted R2

 Serum

  M (Day 1)

Morphine dose (mg/24 h)

0.60

0.01

0.33

0.08

 Urine

  M (Day 1)

Morphine dose (mg/24 h)

0.52

0.61

0.10

0.14

Age

−2.05

0.06

Gender

−2.02

0.06

  M (Day 2)

Morphine dose (mg/24 h)

0.97

0.00

0.40

−0.05

Creatinine

−0.44

0.07

Gender

−0.48

0.03

  M (Day3)

Morphine dose (mg/24 h)

0.58

0.01

0.56

0.29

  1. Estimated Model 1: Independent factors in all analyses were morphine dose, gender, daily intravenous fluid amounts, creatinine, ALT, and age
  2. Estimated Model 2: Independent factors in all analyses were gender, daily intravenous fluid amounts, creatinine, ALT, and age (Morphine dose was omitted from Model 1)
  3. As for Urine model, daily urine output was used instead of daily intravenous fluid amounts in each model
  4. Coef standardized coefficient in regression model, M Morphine concentration (nmol/liter), ALT alanine transaminase