The McGill University Health Centre Cancer Pain Clinic: A Retrospective Analysis of an Interdisciplinary Approach to Cancer Pain Management

Table 8

Predictors of positive analgesic outcomes.

Variable	30% ESAS pain			50% ESAS pain			30% BPI worst pain			50% BPI worst pain^†
	OR	95% CI	value	OR	95% CI	value	OR	95% CI	value	OR	95% CI	value
Sex (male versus female)	6.4	1.7, 23.6	0.005	3.7	1.3, 10.6	0.015	3.5	1.1, 10.9	0.030	—	—	—
NSAIDs initiated in clinic (yes versus no)	—	—	—	5.2	0.8, 33.9	0.086	4.7	0.8, 29.5	0.095	—	—	—
Methadone use at baseline (yes versus no)	—	—	—	—	—	—	0.1	0.01, 1.4	0.093	—	—	—
Opioid use at baseline (yes versus no)	4.8	1.1, 21.7	0.039	—	—	—	—	—	—	—	—	—
Radiotherapy use in clinic (yes versus no)	—	—	—	0.1	0.02, 0.9	0.035	—	—	—	—	—	—

Final multivariate model after variable selection using and . Variables considered in the model were those showing a value of <0.150 in univariate logistic regression. Potential predictors tested were gender (male versus female), age, site of primary tumour, disease type (localized versus advanced), BPI worst pain at baseline, separate use of analgesics (acetaminophen, NSAID, steroids, antiepileptic, antidepressants, antipsychotics, sedatives, cannabinoids, opioids, or methadone), and indication of nondrug analgesic interventions (radiotherapy, psychotherapy, physiotherapy, occupational therapy, and interventional therapy) during the course of treatment.
^†No independent predictors were identified for 50% improvement in BPI worst pain.
Statistically significant variables are highlighted in italics.