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. 2017 Jan 30;18(1):124–139. doi: 10.1093/pm/pnw080

Table 1.

Potential predictors of the intercept, linear coefficient, and quadratic coefficient for pain at rest, pain with activity, and hours per day in pain

Pain at rest (N = 188) Pain with activity (N = 188) Hours in pain (N = 185)
Demographic characteristics I LC QC I LC QC I LC QC
 Age x x x x
 Sex
 Education level
 Cohabitation status
 Employment status x x
Preoperative clinical characteristics
 Body mass index
 Number of comorbidities x x x
 American Society of Anesthesiologists’ physical status classification x
 Systolic blood pressure
 Diastolic blood pressure
 C-reactive protein
 Hemoglobin
Pain characteristics
 Average pain prior to surgery
 Worst pain prior to surgery x x
 Pain at rest, day of surgery n/a x x n/a n/a n/a n/a n/a n/a
 Pain with activity, day of surgery n/a n/a n/a n/a x x n/a n/a n/a
 Hours per day in pain, day of surgery n/a n/a n/a n/a n/a n/a n/a x x
 Pain interference with function x x x
Perioperative characteristics:
 Side of knee surgery x x
 Type of anesthesia x x x
 Length of surgery (minutes)
Pain management characteristics
 Number of days with epidural analgesia x x x x x
 Number of days with continuous femoral nerve block x x x x x
 Number of days with ketamine x x x
 Average dose of opioids over 4 days x x x
Symptoms
 Fatigue severity x x x
 Fatigue interference x
 Depression
 Anxiety x x x
Psychological characteristics from the BIPQ
 Consequences x x
 Personal control x
 Identity x x x
 Concern x
 Emotional response x x x

I = intercept; LC = linear coefficient; QC = quadratic coefficient; BIPQ = Brief Illness Perception questionnaire; x = t values >2.0 in exploratory analyses.