Need for language assistance was not an independent predictor of PACU pain 3 or higher (OR 1.40, p=0.06)

Description #

On multivariable logistic regression adjusting for age, BMI, gender, race, ASA status, platelet count, preoperative opioid use, regional anesthesia, and anxiety/depression, the need for language assistance services (LAS) was NOT an independent predictor of having an average PACU pain score of 3 or higher (p = 0.06). The point estimate indicated that patients not needing LAS had 40% higher odds of average PACU pain ≥3 than patients needing LAS (OR = 1.40, 95% CI 0.99–1.99) — directionally consistent with LAS-needing patients reporting less pain, but the confidence interval crossed 1 and the association was not significant.

"After adjusting for age, BMI, gender, race, ASA physical status, platelet count, preoperative use of opioids, regional anesthesia and status of anxiety or depression in the model, the odds of having average PACU pain of 3 or higher is 40% higher for patients not needing LAS versus patients needing LAS (odds ratio (OR) = 1.40, 95%: 0.99, 1.99). The association between needed LAS and average PACU pain of 3 or higher was not significant (p = 0.06)." (Kapoor, 2023, p. 5)

Source inconsistency (flagged): the Discussion reverses this direction, stating the 40% increase applied to LAS-needing patients — "we observed a 40% increase in pain (≥ 3) in patients with LAS needs compared to English-speaking patients" (Kapoor, 2023, p. 5) — which contradicts the Results sentence that assigns the 40%-higher odds to patients not needing LAS.

Methods Context #

What? #ⓘ

The observable: the binary status of average PACU pain of 3 or higher (dichotomized 0–10 verbal numeric rating scale at cutoff 3), modeled as the dependent variable.

"A multivariable logistic regression model was fitted to estimate the effects of important covariates on the highest or average PACU pain score using 3 (mild) or 7 (severe) as the cutoff points." (Kapoor, 2023, p. 2)

How? #ⓘ

Multivariable logistic regression adjusting for demographic, comorbidity, and treatment covariates, fitted on the matched cohort.

"A multivariable logistic regression model was fitted to estimate the effects of important covariates on the status of average PACU pain of 3 or higher." (Kapoor, 2023, p. 5)

Who? #ⓘ

Patients undergoing open abdominal oncologic surgery at a single academic cancer center; the multivariable model was run on the matched analysis cohort (n = 590). Multivariable analysis for pain ≥7 was not performed due to too few events.

"Due to the limited number of patients with average PACU pain of 7 or higher, multivariable analysis was not performed." (Kapoor, 2023, p. 5)

Other Notes #

Because this adjusted categorical analysis was non-significant (CI 0.99–1.99, p = 0.06), it tempers the significant univariate median pain differences: after covariate adjustment the association between LAS need and PACU pain ≥3 did not reach significance.

Caveats #

• Retrospective single-institution cancer-center study with residual confounding The study is retrospective and conducted at a single cancer center, so its estimates are vulnerable to residual confounding from unmeasured variables that could have influenced opioid-prescribing and pain outcomes, and its findings are tied to institution-specific practices (types of surgeries and regional anesthesia techniques). Although propensity-score matching reduced measured baseline imbalance, no prior sample-size analysis was performed and unknown confounders remain. This limits causal interpretation and external generalizability of the pain, opioid, and regional-anesthesia associations.
• Cultural differences in numeric pain-scale psychometrics could bias reported scores Pain was measured with a numeric verbal rating scale whose interpretation may vary across languages and cultures. Cultural differences in how patients understand and report numbers on the scale could have systematically biased the reported pain scores between the LAS-needing and English-proficient groups, threatening measurement equivalence and thus the validity of the between-group pain comparisons.
• Actual mode and use of interpreters could not be determined; LAS need is a proxy The exposure is the need for language assistance services (recorded when a patient asked for an interpreter at their first encounter), not verified interpreter utilization. The actual use and mode of interpretation — phone, videoconferencing, or in-person — could not be retrospectively determined. Because interpreter modality and whether an interpreter was actually deployed at the point of pain assessment are unknown, the observed pain and opioid differences cannot be attributed to any specific form or dose of language assistance.