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. 2011 Jul 7;68(1):55–64. doi: 10.1007/s00228-011-1093-5

Table 2.

Patient demographics for poor metabolisers (PM), extensive metabolisers (EM) and ultra-rapid metabolisers (URM )

PM (n = 27) EM (n = 413) URM (n = 10)
Gender: female/male (%) 16/11 (59/41) 180/233 (44/56) 2/8 (20/80)
Age (years)a 62 (19–84) 62 (18–91) 63 (44–81)
Karnofsky performance status (%)a* 50 (20–90) 70 (20–90) 55 (30–70)
Body mass index (kg/m2)a 23 (14–30) 23 (14–41) 23 (19–28)
Glomerular filtration rate (ml/min/1.73 m2)a 77 (27–239) 96 (24–261) 115 (42–194)
Albumin serum (g/L)a 31 (10–49) 33 (11–91) 29 (22–36)
Time since diagnosis (months)a 31 (0–155) 16 (0–286) 31 (0–79)
Time since opioid treatment started (months)a 1 (0–42) 1 (0–97) 2 (0–21)
Time since last dose (hours)a 11 (1–13) 10 (0.1–17) 11 (0.8–12)
Number of medication ex. opioidsa 7 (3–14) 6 (0–17) 9 (3–12)
CYP2D6 inhibitor medicationb 2 35 1
CYP3A4 inhibitor medicationb 2 21 1
CYP3A4 inducer medicationb* 0 2 2
Breakthrough pain: yes/no (%) 18 / 9 (67/33) 256/156 (62/38) 8/2 (80/20)
Cancer diagnosis:
  Gastrointestinal (inclusive pancreas, liver)c 2 87 3
  Lung (inclusive mesothelioma)c 6 70 1
  Prostatec 4 70 3
  Other urologicalc 0 26 1
  Breastc* 8 56 0
  Female reproductive organsc 1 33 0
  Haematologicalc 1 29 0
  Head and neckc 1 10 0
  Sarcomac 1 8 1
  Skinc 1 8 0
  Otherc 2 23 1
  Unknown originc 1 12 0
  More than one diagnosisc 1 17 0

*p < 0.05

aMedian (minimum to maximum)

bNumber of users

cNumber