Associations between preoperative depression and opioid use after anterior cruciate ligament reconstruction and concomitant procedures

Preoperative Antidepressant Prescriptions Are Associated With Increased Opioid Prescriptions and Health Care Use but Similar Rates of Secondary Surgery Following Primary Anterior Cruciate Ligament Reconstruction in a Young Adult Population

PURPOSE

To compare adverse events, postoperative opioid-prescribing patterns, health care use, and secondary anterior cruciate ligament reconstruction (ACLR) surgery rates of patients undergoing primary ACLR with a preoperative antidepressant prescription (ADP) against a propensity-matched group with no preoperative antidepressant prescription (NADP) using the TriNetX Diamond Network.

METHODS

Patients undergoing primary ACLR between ages 18 and 35 years of age were queried from the database using International Classification of Diseases, Tenth Revision/Current Procedural Terminology codes. Patients with an ADP were propensity matched in a 1:1 ratio to patients with NADP based on 11 patient characteristics. Postoperative rates of adverse events, emergency department (ED) visits, in-patient hospitalizations, outpatient services, physical therapy evaluations, postoperative opioid prescriptions, and secondary ACLR were compared at various time points.

RESULTS

In total, 3,736 patients with an ADP with an average age of 21.4 ± 4.5 years undergoing primary ACLR were propensity matched to patients with NADP. A significantly greater percentage of patients with an ADP received opioid prescriptions at 2 weeks (ADP 21%, NADP 11.3%, odds ratio [OR] 2.08), 6 weeks (ADP 25.5%, NADP 13.9%, OR 2.13), 3 months (ADP 27.6%, NADP 15.6%, OR 2.07), 6 months (ADP 30.5%, NADP 17.2%, OR 2.1), and 1 year (ADP 35.3%, NADP 20.2%, OR 2.16) postoperatively (P <.0001 for each time point). Patients with ADP had greater rates of ED visits (ADP 9.7%, NADP 7.1%, P < .0001, OR 1.39) and outpatient appointments (ADP 28.3%, NADP 21.8%) P < .0001, OR 1.42) at 3 months' postoperatively. Secondary surgery rates at 1 and 2 years were nonsignificant (P = .381 and P = .062, respectively).

CONCLUSIONS

Following ACLR, patients with ADP had a significant increase in postoperative opioid prescriptions at all time points and used more ED resources and outpatient services compared with patients with NADP at 3 months' postoperatively. Thirty-day postoperative adverse events and both 1- and 2-year secondary ACL surgery rates demonstrated no significant differences between the groups.

LEVEL OF EVIDENCE

Level III, retrospective comparative case series.

Factors Associated With Increased Opioid Prescriptions Following Anterior Cruciate Ligament Reconstruction in Opioid-Naïve Patients

Purpose

To identify the mean morphine milligram equivalent (MME) opioid prescriptions for opioid-naïve patients undergoing isolated anterior cruciate ligament reconstruction (ACLR) between 4 weeks before surgery and the first 90 days after surgery and to describe opioid prescriptions filled per patient and mean MMEs per year within 90 days following ACLR.

Methods

Exclusion criteria were patients having concurrent other cruciate or collateral ligament repair or reconstruction, meniscus procedures (repair and debridement), any cartilage procedure, lower-extremity osteotomy, or knee procedures for fracture, infection, or neoplasms; patients with substance use disorder or chronic pain also were excluded. Opioid use between 4 weeks before surgery and the first 90 days after surgery was recorded. Prescribing physician specialty also was tracked. The correlation of patient factors and prescriber specialty of MME were compared using the Student's t-test. Significance was defined at P < .05.

Results

Opioid-naïve patients undergoing isolated ACLR were included. Isolated arthroscopic ACLRs performed between 2010 and Q3 2020 in opioid-naïve patients were identified within the PearlDiver M91 national database. A total of 37,200 patients were identified. Mean MME per patient was 340.9 ± 198.2, with an average MME per day of 59.9. Factors associated with increased opioid use during the 90 days following ACLR were older age (P < .001) and preoperative diagnosis of depression (P < .001). Orthopaedic surgeons were primarily responsible for the number of opioid prescriptions after ACLR (n = 29,326, 73.0%) but 27% (n = 10,797) of prescriptions came from nonorthopaedic surgeon medical providers who prescribed significantly greater MMEs of opioids than orthopaedic surgeons (456.5 vs 339.2, P < .001) per patient. Lastly, decreasing yearly opioid prescriptions per patient (2.4 to 1.6 prescriptions) and the mean MME per patient (428.4 to 257.1) occurred from 2010 to 2020.

Conclusions

Older age and preoperative diagnosis of depression are associated with greater opioid doses after ACLR. In addition, the vast majority of opioid prescriptions are written by orthopaedic surgeons on the day of ACLR and decreased considerably by four weeks after surgery. Patients receiving opioid prescriptions by nonorthopaedic surgeon medical providers receive significantly greater doses.

Level of Evidence

Level IV, retrospective cohort study.

Presenting Mental Health Influences Postoperative Clinical Trajectory and Long-Term Patient Satisfaction After Lumbar Decompression

OBJECTIVE

To compare patient-reported outcomes (PROMs), postoperative patient-reported satisfaction, and minimum clinically important difference (MCID) achievement after minimally invasive surgery lumbar decompression (MIS-LD) in patients stratified by their preoperative 12-Item Short-Form Mental Component Score (SF-12 MCS).

METHODS

Patients who underwent single-level/multilevel MIS-LD were included. PROMs were administered preoperatively and 6 weeks/12 weeks/6 months/1 year postoperatively. Patients were grouped by preoperative SF-12 MCS. Demographic/perioperative characteristics were compared among groups using a χ² and Student t test for categorical and continuous variables, respectively. Mean PROM and postoperative satisfaction scores were compared using an unpaired Student t test. PROM improvement within cohorts was assessed with paired-samples t test. MCID achievement rates were compared using χ² analysis.

RESULTS

A total of 297 patients were included: 111 patients in SF-12 MCS <48.9 and 186 patients in the SF-12 MCS ≥48.9 cohort. Cohorts showed mean postoperative differences for visual analog scale (VAS) back score at 12 weeks, VAS leg score at 6 weeks/12 weeks, Oswestry Disability Index (ODI) at 6 weeks/12 weeks, SF-12 MCS at all postoperative time points, and 12-Item Short-Form Physical Component Score at 6 weeks/12 weeks (P < 0.022, all). Of patients in the SF-12 MCS <48.9 cohort, more achieved MCID for SF-12 MCS at all postoperative time points and ODI at 1 year (P < 0.023, all). More patients in the SF-12 MCS ≥48.9 cohort achieved MCID for VAS leg score at 12 weeks and 12-Item Short-Form Physical Component Score at 6 weeks (P < 0.038). Patients in the SF-12 MCS <48.9 cohort showed inferior postoperative satisfaction for VAS leg score at 6 weeks/12 weeks/1 year, VAS back score at 12 weeks, and ODI at all postoperative time points.

CONCLUSIONS

Patients with inferior mental health preoperatively showed worse mean short-term postoperative clinical outcome for leg/back pain, physical function and disability, short-term and long-term postoperative satisfaction for leg pain and disability, and long-term satisfaction for sleeping/lifting/walking/standing/sex/travel.

Smoking as a risk factor for complications following arthroscopic rotator cuff repair

Background

The purpose of this study was to investigate the association between smoking status and postoperative complications within 30 days of arthroscopic rotator cuff repair (ARCR).

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was queried to identify all patients who underwent ARCR from 2015 to 2017. Smokers were defined as patients who reported smoking cigarettes in the year prior to rotator cuff repair. Patients who used chewing tobacco, cigars, or electronic cigarettes were not included in the smoking cohort. Postoperative complications were reported within 30 days of the procedure. Multivariate logistic regression was performed to investigate the relationship between smoking status and postoperative complications.

Results

There were 18,594 patients included in this study. Of these patients, 2834 (15.2%) were current smokers. Smokers were more likely to be men, to be aged < 65 years, and to have a body mass index < 30. Smokers were also more likely to have chronic obstructive pulmonary disease, to be functionally dependent, and to have an American Society of Anesthesiologists (ASA) class ≥ 3. After adjustment for all significantly associated patient demographic characteristics and comorbidities, smoking was identified as a significant predictor of surgical complications (odds ratio [OR], 1.955; P = .022), return to the operating room (OR, 2.547; P = .003), readmission (OR, 1.570; P = .014), and sepsis or septic shock (OR, 4.737; P = .021). Smoking was not a significant predictor of medical complications (OR, 1.105; P = .687) or surgical-site infections (OR, 1.216; P = .713).

Conclusion

Smoking may be a risk factor for surgical complications, readmission, and sepsis or septic shock within 30 days of ARCR.