In Aldrich 2023 et al., on liposomal bupivacaine in TPLO, what was the reported correlation between CMPS-SF scores and %BWdist?
A. No significant correlation
B. Strong positive correlation
C. Weak negative correlation
D. Strong inverse correlation
E. Only correlated at 12 hours
Answer: No significant correlation
Explanation: CMPS-SF scores and %BWdist were not significantly correlated at any time point.
In Aldrich 2023 et al., on liposomal bupivacaine in TPLO, how was analgesic success defined?
A. No need for rescue analgesia over 48 hours
B. CMPS-SF score ≤ 3
C. BWdist > 5% at 24 hours
D. Only requiring one opioid dose
E. Cage comfort score ≥ 5
Answer: No need for rescue analgesia over 48 hours
Explanation: Success was defined as not requiring rescue opioids within 48h post-op.
In Aldrich 2023 et al., on liposomal bupivacaine in TPLO, what conclusion was drawn about %BW distribution to the operated limb?
A. It did not differ significantly between groups
B. It was significantly higher in the LB group
C. It was lower in the placebo group on day 2
D. It increased over time only in the LB group
E. It correlated strongly with CMPS-SF
Answer: It did not differ significantly between groups
Explanation: No difference in %BWdist was found at any time point between LB and placebo dogs.
In Aldrich 2023 et al., on liposomal bupivacaine in TPLO, which metric showed no significant difference between treatment and placebo groups?
A. CMPS-SF pain scores
B. Mechanical nociception threshold
C. Vertical ground reaction force
D. Meniscal tear frequency
E. Tibial plateau angle
Answer: CMPS-SF pain scores
Explanation: CMPS-SF scores did not differ significantly between liposomal bupivacaine and placebo groups at any time point.
In Aldrich 2023 et al., on liposomal bupivacaine in TPLO, what limitation did the authors note regarding their ability to detect a treatment effect?
A. Underpowered sample size
B. Non-randomized design
C. Unblinded assessors
D. No placebo control
E. Incomplete CMPS-SF data
Answer: Underpowered sample size
Explanation: Post hoc power analysis revealed the sample was likely too small to detect a true difference.