Impact of preexisting opioid dependence on morbidity, length of stay, and inpatient cost of urological oncological surgery

The impact of cannabis use disorder on urologic oncologic surgery morbidity, length of stay, and inpatient cost: analysis of the National Inpatient Sample from 2003 to 2014

PURPOSE

This study examined the impact of cannabis use disorder (CUD) on inpatient morbidity, length of stay (LOS), and inpatient cost (IC) of patients undergoing urologic oncologic surgery.

METHODS

The National Inpatient Sample (NIS) from 2003 to 2014 was analyzed for patients undergoing prostatectomy, nephrectomy, or cystectomy (n = 1,612,743). CUD was identified using ICD-9 codes. Complex-survey procedures were used to compare patients with and without CUD. Inpatient major complications, high LOS (4th quartile), and high IC (4th quartile) were examined as endpoints. Univariable and multivariable analysis (MVA) were performed to compare groups.

RESULTS

The incidence of CUD increased from 51 per 100,000 admissions in 2003 to 383 per 100,000 in 2014 (p < 0.001). Overall, 3,503 admissions had CUD. Patients with CUD were more frequently younger (50 vs. 61), male (86% vs. 78.4%), Black (21.7% vs. 9.2%), and had 1st quartile income (36.1% vs. 20.6%); all p < 0.001. CUD had no impact on any complication rates (all p > 0.05). However, CUD patients had higher LOS (3 vs. 2 days; p < 0.001) and IC ($15,609 vs. $12,415; p < 0.001). On MVA, CUD was not an independent predictor of major complications (p = 0.6). Conversely, CUD was associated with high LOS (odds ratio (OR) 1.31; 95% CI 1.08-1.59) and high IC (OR 1.33; 95% CI 1.12-1.59), both p < 0.01.

CONCLUSION

The incidence of CUD at the time of urologic oncologic surgery is increasing. Future research should look into the cause of our observed phenomena and how to decrease LOS and IC in CUD patients.

Hospitalization, Overdose, and Mortality After Opioid Prescriptions Tied to Ophthalmic Surgery

PURPOSE

Opioid prescriptions continue to carry significant short- and long-term systemic risks, even after ophthalmic surgery. The goal of this study was to identify any association of opioid prescription, after ophthalmic surgery, with postoperative hospitalization, opioid overdose, opioid dependence, and all-cause mortality.

DESIGN

Retrospective, cross-sectional analysis.

PARTICIPANTS

Patients undergoing an ophthalmic surgery in the OptumLabs Data Warehouse.

METHODS

We used deidentified administrative claims data from the OptumLabs Data Warehouse to create 3 cohorts of patients for analysis from January 1, 2016, to June 30, 2022. The first cohort consisted of 1-to-1 propensity score-matched patients who had undergone ophthalmic surgery and had filled a prescription for an opioid and not filled a prescription for an opioid. The second cohort consisted of patients who were considered opioid naïve and had filled a prescription for an opioid matched to patients who had not filled a prescription for an opioid. The last cohort consisted of opioid-naïve patients matched across the following morphine milligram equivalents (MME) groups: ≤ 40, 41-80, and > 80.

MAIN OUTCOME MEASURES

Short- and long-term risks of hospitalization, opioid overdose, opioid dependency/abuse, and death were compared between the cohorts.

RESULTS

We identified 1 577 692 patients who had undergone an ophthalmic surgery, with 312 580 (20%) filling an opioid prescription. Among all patients, filling an opioid prescription after an ophthalmic surgery was associated with increased mortality (hazard rate [HR], 1.28; 95% confidence interval [CI], 1.25-1.31; P < 0.001), hospitalization (HR, 1.51; 95% CI, 1.49-1.53; P < 0.001), opioid overdose (HR, 7.31; 95% CI, 6.20-8.61, P < 0.001), and opioid dependency (HR, 13.05; 95% CI, 11.48-14.84; P < 0.001) compared with no opioid prescription. Furthermore, we found that higher MME doses of opioids were associated with higher rates of mortality, hospitalization, and abuse/dependence.

CONCLUSIONS

Patients who filled an opioid prescription after an ophthalmic surgery experienced higher rates of mortality, hospitalization, episodes of opioid overdose, and opioid dependence compared with patients who did not fill an opioid prescription.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.