Objective Between 17% and 40% of patients undergoing elective arthroplasty are preoperative opioid users. This US study analyzed patients in this population to illustrate the relationship between preoperative opioid use and adverse surgical outcomes. Design Retrospective study of administrative medical and pharmaceutical claims data. Subjects Adults (aged 18+) who received elective total knee, hip, or shoulder replacement in 2014–2015. Methods A patient was a preoperative opioid user if opioid prescription fills occurred in two periods: 1–30 and 31–90 days presurgery. Zero-truncated Poisson (incidence rate ratio [IRR]), logistic (odds ratio [OR]), Cox (hazard ratio [HR]), and quantile regressions modeled the effects of preoperative opioid use and opioid dose, adjusted for demographics, comorbidities, and utilization. Results Among 34,792 patients (38% hip, 58% knee, 4% shoulder), 6,043 (17.4%) were preoperative opioid users with a median morphine equivalent daily dose of 32 mg. Preoperative opioid users had increased length of stay (IRR = 1.03, 95% CI = 1.02 to 1.05), nonhome discharge (OR = 1.10, 95% CI = 1.00 to 1.21), and 30-day unplanned readmission (OR = 1.43, 95% CI = 1.17 to 1.74); experienced 35% higher surgical site infection (HR = 1.35, 95% CI = 1.14 to 1.59) and 44% higher surgical revision (HR = 1.44, 95% CI = 1.21 to 1.71); had a median $1,084 (95% CI = $833 to $1334) increase in medical spend during the 365 days after discharge; and had a 64% lower rate of opioid cessation (HR = 0.34, 95% CI = 0.33 to 0.35) compared with patients not filling two or more prescriptions across periods. Conclusions Preoperative opioid users had longer length of stay, increased revision rates, higher spend, and persistent opioid use, which worsened with dose. Adverse outcomes after elective joint replacement may be reduced if preoperative opioid risk is managed through increased monitoring or opioid cessation.

This study aimed to investigate the potential risk factors for postoperative cognitive dysfunction (POCD) in elderly patients with gastric cancer (GC) after radical gastrectomy. Methods: In total, 221 elderly patients with GC who were scheduled to undergo selective radical gastrectomy in our hospital were enrolled in this study. To define early POCD, the neuropsychological assessment was carried out 1 day before surgery and 7 days after surgery. Receiver operating characteristic curve analysis was carried out to evaluate the predicative and cutoff values of risk factors, including neutrophil-lymphocyte ratio (NLR) for early POCD. The univariate and multivariate logistic regression analyses were performed to investigate risk factors for early POCD. Results: Of the 221 enrolled elderly patients with GC, 42 were identified as early POCD with an incidence of 19.0% (42 of 221). Receiver operating characteristic curve analysis indicated that NLR was a significant predictor for POCD with a cutoff value of 2.50 and an area under the curve of 0.711 (95% confidence interval: 0.624-0.798, P < 0.001). Preoperative NLR (≥2.50) was the only independent risk factor associated with POCD (odds ratio: 2.44, 95% confidence interval: 1.52-3.68, P = 0.013) by the multivariate logistic regression analysis. Conclusions: Preoperative NLR level was an independent risk factor for POCD in elderly patients with GC undergoing curative resection.

No abstract