Advertisement
Original Article|Articles in Press

Older Age, Female Sex, Anxiety, Substance Use Disorder, Osteoarthritis, Tibial Tubercle Osteotomy, and Opioid Familiarity Are Risk Factors for Prolonged Opioid Use Following Medial Patellofemoral Ligament Reconstruction

Open AccessPublished:April 22, 2023DOI:https://doi.org/10.1016/j.asmr.2023.03.003

      Purpose

      To determine which preoperative factors are associated with prolonged opioid use after medial patellofemoral ligament reconstruction (MPFLR).

      Methods

      The M151Ortho PearlDiver database was queried for patients who underwent MPFLR between 2010 and 2020. Inclusion criteria included patients who underwent MPFLR using Current Procedural Terminology codes 27420, 27422, and 27427 and had a patellar instability diagnosis. Prolonged opioid use was defined as opioid use greater than 1 month after surgery. Postoperative opioid use from 1 month to 6 months was assessed. Multivariable logistic regression was used to evaluate the association between patient-related risk factors (age, sex, Charlson Comorbidity Index, anxiety, depression, substance use disorder, osteoarthritis, tibial tubercle osteotomy [TTO], and previous opioid use within 3 months to 1 week of surgery) with prolonged postoperative opioid use. Odds ratios (OR) and their associated 95% confidence intervals (CI) were calculated for each risk factor.

      Results

      A total of 23,249 patients were included. There was a higher proportion of female patients compared to male patients (67.8% vs 32.2%) in our cohort, as well as a large proportion of patients who had preoperative opioid use (23.9%). In total, 14.3% of patients had a concomitant TTO. Three months post-MPFLR, male patients were at a decreased risk of opioid usage (OR 0.75; CI 0.67-0.83; P ≤ .001). Older age (OR 1.01, CI 1.00-1.01; P ≤ .001), patients with pre-existing anxiety (OR 1.30, CI 1.15-1.47; P ≤ .001), substance use disorder (OR 2.04, CI 1.80-2.31; P ≤ .001), knee osteoarthritis (OR 1.70, CI 1.49-1.94; P ≤ .001), concomitant TTO (OR 1.91, CI 1.67-2.17; P ≤ .001), and opioid familiarity (OR 7.68, CI 6.93-8.52; P ≤ .001) were at a significantly increased risk of postoperative opioid usage.

      Conclusions

      Older age, female sex, anxiety, substance use disorder, osteoarthritis, tibial tubercle osteotomy, and opioid familiarity are risk factors for prolonged opioid use following MPFLR.

      Level of Evidence

      Level III, retrospective cohort study.
      In the field of orthopaedic surgery, the use and prescription of opioids has been an important topic of discussion.
      • Morris B.J.
      • Mir H.R.
      The opioid epidemic: Impact on orthopaedic surgery.
      Although multiple providers in various medical specialties prescribe opioids, orthopaedic surgeons do so at one of the highest rates.
      • Morris B.J.
      • Mir H.R.
      The opioid epidemic: Impact on orthopaedic surgery.
      • Castle J.P.
      • Jildeh T.R.
      • Buckley P.J.
      • Abbas M.J.
      • Mumuni S.
      • Okoroha K.R.
      Older, heavier, arthritic, psychiatrically disordered, and opioid-familiar patients are at risk for opioid use after medial patellofemoral ligament reconstruction.
      • Kattail D.
      • Hsu A.
      • Yaster M.
      • et al.
      Attitudes and self-reported practices of orthopedic providers regarding prescription opioid use.
      Orthopaedic patients also have a high prescription refill rate compared with other specialties.
      • Castle J.P.
      • Jildeh T.R.
      • Buckley P.J.
      • Abbas M.J.
      • Mumuni S.
      • Okoroha K.R.
      Older, heavier, arthritic, psychiatrically disordered, and opioid-familiar patients are at risk for opioid use after medial patellofemoral ligament reconstruction.
      Okoli et al.
      • Okoli M.U.
      • Rondon A.J.
      • Townsend C.B.
      • Sherman M.B.
      • Ilyas A.M.
      Opioid Use in Orthopaedic Surgery Study Group. Comprehensive analysis of opioid use after common elective outpatient orthopaedic surgeries.
      analyzed postoperative opioid use after common outpatient orthopaedic surgeries at a single institution, some of which being rotator cuff repair, anterior cruciate ligament reconstruction (ACLR), and Achilles tendon repair, finding that more than 11% of patients continued using opioids after 6 months.
      Previous studies have investigated factors that lead to prolonged opioid use after multiple orthopaedic procedures, such as ACLR and total joint arthroplasty
      • Wu L.
      • Li M.
      • Zeng Y.
      • et al.
      Prevalence and risk factors for prolonged opioid use after total joint arthroplasty: A systematic review, meta-analysis, and meta-regression.
      ,
      • Rao A.G.
      • Chan P.H.
      • Prentice H.A.
      • Paxton E.W.
      • Funahashi T.T.
      • Maletis G.B.
      Risk factors for opioid use after anterior cruciate ligament reconstruction.
      to better understand which patients are at an increased risk. Our study uses a large database over multiple years to assess which risk factors influence prolonged opioid use (hydrocodone, oxycodone, morphine, and tramadol) following MPFLR.
      The MPFL is a commonly injured ligament in the knee,
      • Dall'Oca C.
      • Elena N.
      • Lunardelli E.
      • Ulgelmo M.
      • Magnan B.
      MPFL reconstruction: Indications and results.
      which has the potential to lead to recurrent patellar instability, especially in children.
      • Kluczynski M.A.
      • Miranda L.
      • Marzo J.M.
      Prevalence and site of medial patellofemoral ligament injuries in patients with acute lateral patellar dislocations: A systematic review and meta-analysis.
      In the general population, the incidence of lateral patellar dislocations ranges from 5.8 to 7 cases per 100,000 person-years to 29 cases per 100,000 person-years in those aged 10-17 years.
      • Kluczynski M.A.
      • Miranda L.
      • Marzo J.M.
      Prevalence and site of medial patellofemoral ligament injuries in patients with acute lateral patellar dislocations: A systematic review and meta-analysis.
      Numerous options are available for the treatment of MPFL injuries, ranging from physical therapy to surgery.
      • Ji G.
      • Wang S.
      • Wang X.
      • Liu J.
      • Niu J.
      • Wang F.
      Surgical versus nonsurgical treatments of acute primary patellar dislocation with special emphasis on the MPFL injury patterns.
      With MPFLR being a common treatment option for patients with patellar instability, how to best achieve postoperative pain control is an important consideration for surgeons. Aside from the physical pain arising from MPFL injury, psychological factors may also influence pain perception. Corey et al.
      • Corey R.M.
      • Rabe J.
      • Yalcin S.
      • Saluan P.
      • Farrow L.D.
      Factors associated with pain and function before medial patellofemoral ligament reconstruction.
      found that patients who had lower baseline Veterans RAND 12-item Health Survey Mental Component Scores had higher baseline Knee Injury and Osteoarthritis Outcome Score Pain scores.
      The purpose of this study was to determine which preoperative factors are associated with prolonged opioid use following MPFLR. We hypothesized that older age, previous opioid use, depression, anxiety, knee osteoarthritis (OA), concomitant tibial tubercle osteotomy (TTO), female sex, and substance use disorder would be associated with prolonged opioid use following MPFLR.

      Methods

      Database

      Data were obtained from the M151Ortho PearlDiver database,

      PearlDiver. PearlDiver 2022. https://pearldiverinc.com/. Accessed October 5, 2022.

      which contains records from more than 151 million distinct patients between 2010 and 2020. PearlDiver has both International Classification of Diseases (ICD) Ninth and Tenth Revision diagnosis codes, as well as Current Procedural Terminology (CPT) codes. All information in the database is deidentified. Inclusion criteria included patients who underwent MPFLR using CPT codes 27420, 27422, and 27427 and had a patellar instability diagnosis (Appendix Table 1, available at www.arthroscopyjournal.org). Patients who underwent a concomitant TTO were identified using the CPT codes 27418, 27455, 27457, and 27705.

      Risk Factors

      Prolonged opioid use was defined as using opioids for greater than 1-month postoperatively. Age, sex, Charlson Comorbidity Index, history of anxiety, depression, substance use disorder (alcohol, opioid, cannabis, sedatives, hypnotics, anxiolytics, cocaine, stimulants, hallucinogens, inhalants, psychoactive substances), knee OA, concomitant TTO, and previous opioid use within 3 months to 1 week of MPFLR was assessed. Patients with a previous diagnosis of depression, anxiety, substance use disorder, and knee OA were identified using the ICD codes in Appendix Table 2, Appendix Table 3, Appendix Table 4, Appendix Table 5, available at www.arthroscopyjournal.org, respectively.

      Postoperative Opioid Prescriptions

      Multiple formulations of hydrocodone, oxycodone, morphine, and tramadol were included in the queries. Patients who received a prescription of these medications within 6 months postoperatively were identified. Patients were stratified based on the timing of their prescriptions. The same opioid formulations were included in our query of preoperative opioid use. Patients with an opioid prescription within 3 months to 1 week before their surgery were identified and placed into the opioid-familiar group. All other patients in the population were placed into the opioid-naïve group.

      Data Analysis

      Demographic variables and comorbidities were tabulated and reported. Multivariable logistic regression was performed to independently analyze patient demographics and comorbid conditions. Odds ratios (ORs) and their associated 95% confidence intervals (CIs) were calculated for each risk factor, with P < .05 being considered statistically significant. R software (R Foundation for Statistical Computing, Vienna, Austria) that was embedded within PearlDiver was used for all statistical analysis.

      Results

      In total, 23,249 patients met inclusion criteria for analysis. There was a much higher proportion of female patients compared with male patients (67.8% vs. 32.2%), as well as a large proportion of patients who had preoperative opioid use (23.9%, of whom 68.8% were female and 31.2% were male). The majority of patients had a Charlson Comorbidity Index score of mild (93.2%), and 14.3% of patients had a concomitant TTO. Complete patient demographics are included in Table 1.
      Table 1Cohort Demographics (N = 23,249)
      N%
      Demographics
       Female15,77367.8%
       Male7,47532.2%
       Age ≤13 y1,4176.1%
       Age 14-17 y6,99230.1%
       Age 18-25 y5,93825.5%
       Age 26-35 y3,52715.2%
       Age 36-49 y2,71911.7%
       Age 50-64 y1,4846.4%
       Age 65 y1,1715.0%
      Charlson Comorbidity Index
       Mild (0-2)21,67893.2%
       Moderate (3-4)1,0864.7%
       Severe (5+)4852.1%
      Comorbidities
       Anxiety5,32622.9%
       Depression4,70020.2%
       Substance use disorder2,59111.1%
       Knee osteoarthritis4,12617.7%
       Concomitant TTO3,32714.3%
       Opioid familiar5,55023.9%
      Female3,81668.8%
      Male1,73431.2%
      TTO, tibial tubercle osteotomy.
      When stratifying patients by opioid familiarity, the percentage of patients who had opioid prescriptions within 3 months to 1 week of surgery substantially required more opioids compared with those who did not at all timepoints measured (Fig 1).
      Figure thumbnail gr1
      Fig 1Percentage of patients using opioids. Orange line represents the percentage of opioid familiar patients who continued using opioids up to 6 months postoperatively. Blue line represents the percentage of opioid naïve patients who continued using opioids up to 6 months postoperatively
      On multivariable analysis, older age, female sex, anxiety, substance use disorder, knee OA, concomitant TTO, and preoperative opioid use were found to have statistically significant associations with prolonged opioid use following MPFLR (Table 2).
      Table 2Risk Factors for Prolonged Opioid Use
      Opioid Use Duration After SurgeryVariableOdds Ratio (95% Confidence Interval)P Value
      Up to 1 monthAge1.01 (1.01-1.01)<.001
      Charlson Comorbidity Index0.99 (0.97-1.02).46
      Male sex0.85 (0.80-0.90)<.001
      Anxiety1.11 (1.03-1.20).009
      Depression1.10 (1.01-1.19).027
      Substance use disorder1.71 (1.56-1.88)<.001
      Knee osteoarthritis1.17 (1.07-1.28)<.001
      Concomitant tibial tubercle osteotomy2.00 (1.86-2.17)<.001
      Opioid familiar3.68 (3.44-3.93)<.001
      Up to 2 monthsAge1.01 (1.01-1.02)<.001
      Charlson Comorbidity Index0.98 (0.95-1.01).24
      Male sex0.68 (0.62-0.74)<.001
      Anxiety1.26 (1.13-1.40)<.001
      Depression0.95 (0.85-1.06).41
      Substance use disorder2.10 (1.88-2.34)<.001
      Knee osteoarthritis1.52 (1.36-1.71)<.001
      Concomitant tibial tubercle osteotomy1.73 (1.55-1.93)<.001
      Opioid familiar5.89 (5.42-6.40)<.001
      Up to 3 monthsAge1.01 (1.00-1.01)<.001
      Charlson Comorbidity Index1.01 (0.97-1.04).77
      Male sex0.75 (0.67-0.83)<.001
      Anxiety1.30 (1.15-1.47)<.001
      Depression0.97 (0.85-1.10).63
      Substance use disorder2.04 (1.80-2.31)<.001
      Knee osteoarthritis1.70 (1.49-1.94)<.001
      Concomitant tibial tubercle osteotomy1.91 (1.67-2.17)<.001
      Opioid familiar7.68 (6.93-8.52)<.001
      Up to 4 monthsAge1.00 (1.00-1.01).11
      Charlson Comorbidity Index1.01 (0.97-1.05).65
      Male sex0.79 (0.70-0.89)<.001
      Anxiety1.24 (1.09-1.42).001
      Depression1.04 (0.90-1.20).58
      Substance use disorder1.97 (1.72-2.25)<.001
      Knee osteoarthritis1.92 (1.66-2.22)<.001
      Concomitant tibial tubercle osteotomy1.99 (1.73-2.29)<.001
      Opioid familiar7.65 (6.82-8.60)<.001
      Up to 5 monthsAge1.00 (0.99-1.00).61
      Charlson Comorbidity Index1.02 (0.98-1.05).44
      Male sex0.78 (0.69-0.89)<.001
      Anxiety1.21 (1.05-1.40).009
      Depression1.07 (0.92-1.24).38
      Substance use disorder2.01 (1.74-2.31)<.001
      Knee osteoarthritis2.14 (1.84-2.50)<.001
      Concomitant tibial tubercle osteotomy2.08 (1.79-2.41)<.001
      Opioid familiar7.62 (6.73-8.64)<.001
      Up to 6 monthsAge1.00 (0.99-1.00).16
      Charlson Comorbidity Index1.01 (0.97-1.05).59
      Male sex0.78 (0.68-0.89)<.001
      Anxiety1.22 (1.05-1.42).008
      Depression1.07 (0.91-1.24).42
      Substance use disorder1.92 (1.65-2.22)<.001
      Knee osteoarthritis2.42 (2.06-2.84)<.001
      Concomitant tibial tubercle osteotomy2.12 (1.82-2.47)<.001
      Opioid familiar7.40 (6.49-8.44)<.001
      On stratified analysis, breaking down opioid-familiar and -naïve patients by sex, female patients were found to be at greater risk of prolonged postoperative opioid use regardless of opioid familiarity. For both opioid-familiar and opioid-naïve patients, ORs were greatest 2 months postoperatively (1.46 and 1.56, respectively) (Table 3). Similarly, opioid familiar patients were at higher risk of prolonged postoperative opioid use regardless of sex. For both male and female patients, ORs were highest 3 months postoperatively (10.84 and 9.25, respectively) (Table 4).
      Table 3Sex Controlled for Opioid Familiarity
      CohortOpioid Use Duration After Surgery, moFemale Patients (No. With Prescription/Total)Male Patients (No. With Prescription/Total)Odds Ratio (95% Confidence Interval)P Value
      Opioid familiar12,609/3,8161,116/1,7341.20 (1.06-1.35).003
      21,503/3,816535/1,7341.46 (1.29-1.64)<.001
      31,086/3,816401/1,7341.32 (1.16-1.51)<.001
      4855/3,816320/1,7341.28 (1.11-1.47)<.001
      5750/3,816275/1,7341.28 (1.11-1.48)<.001
      6670/3,816240/1,7341.30 (1.12-1.51)<.001
      Opioid naïve14,110/11,9571,702/5,7411.24 (1.16-1.33)<.001
      2979/11,957311/5,7411.56 (1.37-1.78)<.001
      3493/11,957155/5,7411.55 (1.29-1.86)<.001
      4368/11,957118/5,7411.51 (1.23-1.87)<.001
      5317/11,957101/5,7411.52 (1.21-1.91)<.001
      6284/11,95790/5,7411.53 (1.20-1.94)<.001
      Table 4Opioid Familiarity Controlled for Sex
      CohortOpioid Use Duration After Surgery, moOpioid Familiar (No. with Prescription/Total)Opioid Naïve (No. with Prescription/Total)Odds Ratio (95% Confidence Interval)P Value
      Male patients11,116/1,7341,702/5,7414.29 (3.83-4.80)<.001
      2535/1,734311/5,7417.79 (6.68-9.08)<.001
      3401/1,734155/5,74110.84 (8.92-13.17)<.001
      4320/1,734118/5,74110.78 (8.66-13.42)<.001
      5275/1,734101/5,74110.53 (8.32-13.32)<.001
      6240/1,73490/5,74110.09 (7.86-12.94)<.001
      Female patients12,609/3,8164,110/11,9574.13 (3.82-4.46)<.001
      21,503/3,816979/11,9577.29 (6.65-7.99)<.001
      31,086/3,816493/11,9579.25 (8.25-10.37)<.001
      4855/3,816368/11,9579.09 (8.00-10.34)<.001
      5750/3,816317/11,9578.98 (7.83-10.30)<.001
      6670/3,816284/11,9578.75 (7.58-10.11)<.001

      Discussion

      Our study found that multiple preoperative factors were associated with prolonged opioid use following MPFLR. Specifically, older age, patients who are female, have anxiety, substance use disorder, knee osteoarthritis, concomitant TTO, and opioid familiar appear to be at an increased risk according to our data. Interestingly, a preoperative diagnosis of depression was not associated with prolonged opioid use. Age was identified by our study as a significant quantitative predictor, with an estimated 1% to 2% increase in the odds of prolonged opioid use per additional year of age.
      Previous studies have determined risk factors for prolonged opioid use after orthopaedic conditions. Castle et al
      • Castle J.P.
      • Jildeh T.R.
      • Buckley P.J.
      • Abbas M.J.
      • Mumuni S.
      • Okoroha K.R.
      Older, heavier, arthritic, psychiatrically disordered, and opioid-familiar patients are at risk for opioid use after medial patellofemoral ligament reconstruction.
      performed a retrospective review of 102 patients undergoing MPFLR at a single institution, finding that age >30 years and body mass index (BMI) >30, cartilage damage, preoperative opioid use, smoking history, and history of psychiatric disorders were associated with prolonged opioid use postoperatively. Baron et al
      • Baron J.E.
      • Khazi Z.M.
      • Duchman K.R.
      • Westermann R.W.
      Risk factors for opioid use after patellofemoral stabilization surgery: A population-based study of 1,316 cases.
      analyzed the Humana administrative claims database between 2007-2017 for patients undergoing patellofemoral stabilization surgery. From a sample of 1,316 patients, preoperative opioid use, obesity, and preexisting anxiety or depression were significant risk factors for prolonged opioid use postoperatively. Our study builds upon the literature by using the PearlDiver database from 2010 to 2020, sampling more than 23,000 patients. Three of the main findings in our study that differentiate it from the aforementioned 2 studies are treating age as a quantitative value, showing the increase in odds per year of increased age instead of grouping patients into categories of <30 years old and >30 years old. Also, we found that although preexisting anxiety was a significant risk factor for prolonged opioid use after MPFLR, depression was not. Finally, we found that patients who undergo a concomitant TTO are at an increased risk for prolonged opioid use following MPFLR. In a sample of 21,202 patients who underwent ACLR, 17.7% used ≥2 opioid prescriptions 0 to 90 days postoperatively, dropping to 2.7% between 91 and 360 days postoperatively. Risk factors for prolonged opioid use were preoperative opioid use, age ≥20 years, substance use, other activity at time of injury, chondroplasty, chronic pulmonary disease, and American Society of Anesthesiologists classification ≥3.
      • Rao A.G.
      • Chan P.H.
      • Prentice H.A.
      • Paxton E.W.
      • Funahashi T.T.
      • Maletis G.B.
      Risk factors for opioid use after anterior cruciate ligament reconstruction.
      Our study showed similar results, where at 3 months, 26.8% of opioid familiar patients and 3.7% of opioid-naïve patients were using opioids.
      Male patients had a decreased risk of prolonged opioid use following MPFLR compared with female patients. This has been seen in previous orthopaedic literature, as following both ACLR and total hip arthroplasty (THA), female patients were at an increased risk for prolonged opioid use.
      • Rao A.G.
      • Chan P.H.
      • Prentice H.A.
      • Paxton E.W.
      • Funahashi T.T.
      • Maletis G.B.
      Risk factors for opioid use after anterior cruciate ligament reconstruction.
      ,
      • Prentice H.A.
      • Inacio M.C.S.
      • Singh A.
      • Namba R.S.
      • Paxton E.W.
      Preoperative risk factors for opioid utilization after total hip arthroplasty.
      There can be a multitude of factors as to why this is the case. Although there have not been many studies assessing sex differences in opioid use, Serdarevic et al
      • Serdarevic M.
      • Striley C.W.
      • Cottler L.B.
      Sex differences in prescription opioid use.
      assessed 8,525 participants from a community outreach program based out of the University of Florida Clinical and Translational Science Institute, finding that women were more likely to report a lifetime use of use prescription opioids than men. Similarly, Back et al
      • Back S.E.
      • Lawson K.M.
      • Singleton L.M.
      • Brady K.T.
      Characteristics and correlates of men and women with prescription opioid dependence.
      interviewed 24 participants from their community (12 male and 12 female) who had prescription opioid dependence, finding that while men were significantly more likely to crush and snort prescription opioids (75% vs 17%), women were significantly more likely to use opioids to cope with interpersonal stress, and use them in the morning.
      Although the physical stress of surgery is demanding, the psychological stresses than surround it can be as well. Harris et al
      • Harris A.B.
      • Marrache M.
      • Puvanesarajah V.
      • et al.
      Are preoperative depression and anxiety associated with patient-reported outcomes, health care payments, and opioid use after anterior discectomy and fusion?.
      found that a preoperative diagnosis of depression or anxiety resulted in greater odds of multiday hospitalization, 90-day readmission, revision surgery, and chronic postoperative opioid use following anterior cervical discectomy and fusion. Likewise, a randomized control trial performed by Kurkis et al
      • Kurkis G.
      • Wilson J.M.
      • Anastasio A.T.
      • Farley K.X.
      • Bradbury T.L.
      Preoperative diagnosis of depression leads to increased opioid tablets taken after total hip arthroplasty: A prospective study.
      found that in patients undergoing THA, depression was correlated with increased opioid use and preoperative education on opioid use did not affect opioid use or disposal frequency 6 weeks postoperatively. In the sports medicine literature, patients with a history of depression report lower self-reported functional scores at baseline and 1-year postoperatively following ACLR.
      • Garcia G.H.
      • Wu H.H.
      • Park M.J.
      • et al.
      Depression symptomatology and anterior cruciate ligament injury: Incidence and effect on functional outcome--a prospective cohort study.
      In our study, anxiety was seen to be a risk factors for prolonged opioid use following MPFLR; however, depression was not.
      Substance use disorder was found to be a risk factor for prolonged opioid use following MPFLR. Cunningham et al
      • Cunningham D.J.
      • LaRose M.A.
      • Gage M.J.
      Impact of substance use and abuse on opioid demand in lower extremity fracture surgery.
      assessed patients undergoing lower-extremity fracture fixation, finding that those with alcohol abuse had increased perioperative opioid demand. Cannabis use has variable results, where a study found no increase in opioid use following hip arthroscopy
      • Wood J.T.
      • Sambandam S.
      • Wukich D.K.
      • McCrum C.L.
      Self-reported cannabis use is not associated with increased opioid use or costs after hip arthroscopy.
      or elective hand surgeries

      Bowers NL, Hao KA, Trivedi S, et al. Self-reported cannabis use is not associated with greater opioid use in elective hand surgery patients [published online August 20, 2022]. Eur J Orthop Surg Traumatol. doi:10.1007/s00590-022-03321-z.

      postoperatively, whereas another found an increased risk following posterior lumbar spinal fusion.
      • Moon A.S.
      • LeRoy T.E.
      • Yacoubian V.
      • Gedman M.
      • Aidlen J.P.
      • Rogerson A.
      Cannabis use is associated with increased use of prescription opioids following posterior lumbar spinal fusion surgery.
      Our study builds upon these, as we combined multiple substance use disorders into one category, with findings indicating that there may be an increased risk for opioid use among these patients.
      The biggest risk factor found in our study was opioid familiarity. It was found that 23.9% of patients were opioid familiar prior to their surgery. Patients with previous opioid use had a staggering 668% increase in the odds of prolonged use at 3 months. This leveled out and decreased slightly from 4 to 6 months. Similar results have been seen following other orthopaedic procedures. Kunkel et al
      • Kunkel S.T.
      • Gregory J.J.
      • Sabatino M.J.
      • et al.
      Does preoperative opioid consumption increase the risk of chronic postoperative opioid use after total joint arthroplasty?.
      found a 5-fold and 4-fold increase in the percentage of patients with chronic opioid use following THA and total knee arthroplasty (TKA), respectively. Rogers et al
      • Rogers M.J.
      • LaBelle M.W.
      • Kim J.
      • et al.
      Effect of perioperative opioid use on patients undergoing hip arthroscopy.
      analyzed hip arthroscopy patients, finding that those who used opioids before the procedure needed more refills following the procedure. Also, patients with a formal opioid use disorder diagnosis had significantly greater risk for revision hip arthroscopy. Khazi et al
      • Khazi Z.M.
      • Lu Y.
      • Patel B.H.
      • Cancienne J.M.
      • Werner B.
      • Forsythe B.
      Risk factors for opioid use after total shoulder arthroplasty.
      had similar findings, where preoperative opioid use was associated with prolonged opioid use following anatomic and reverse total shoulder arthroplasty. Our study is in line with this as preoperative opioid use was seen to be a large risk factor for prolonged opioid use following MPFL, adding to the established literature.
      Overall, our study found multiple risk factors that have the potential to cause prolonged opioid use following MPFLR. Future prospective studies can be performed to determine the effect of these risk factors, allowing for the control of confounding variables. Specifically, a more detailed breakdown could be performed to determine which substance use disorders are associated with increased opioid use following MPFLR.

      Limitations

      This study was not without limitations. Since we used PearlDiver, the extracted data have the potential for coding errors. Also, preoperative opioid use may be due to other health issues, which can affect outcomes. We attempted to account for this by assessing the Charlson Comorbidity Index, and it was not associated with prolonged opioid use. In addition, we were not able to control for postoperative physical therapy. This may influence outcomes due to improved function leading to better pain control. We were unable to account for BMI due to the large number of pediatric patients in our sample. Pediatric BMI is measured in percentiles while adult BMI is not, which could lead to heterogeneity and inaccurate reporting. Patients were not able to be separated based on receiving/filling one prescription versus multiple pre- and postoperatively. Finally, we assumed that opioid prescriptions were indicative of opioid use, but we cannot determine if patients ingested the medications based on data available in PearlDiver.

      Conclusions

      Older age, female sex, anxiety, substance use disorder, osteoarthritis, tibial tubercle osteotomy, and opioid familiarity are risk factors for prolonged opioid use following MPFLR.

      Supplementary Data

      Appendix

      Appendix Table 1Patellar Instability Diagnosis Codes
      ICD-9-D-8363ICD-9-D-8364
      ICD-10-D-M2200ICD-10-D-M2201ICD-10-D-M2202
      ICD-10-D-M2210ICD-10-D-M2211ICD-10-D-M2212
      ICD-10-D-M222X1ICD-10-D-M222X2ICD-10-D-M222X9
      ICD-10-D-M223X1ICD-10-D-M223X2ICD-10-D-M223X9
      ICD-10-D-M228X1ICD-10-D-M228X2ICD-10-D-M228X9
      ICD-10-D-M2290ICD-10-D-M2291ICD-10-D-M2292
      ICD-10-D-S83001AICD-10-D-S83001DICD-10-D-S83001S
      ICD-10-D-S83002AICD-10-D-S83002DICD-10-D-S83002S
      ICD-10-D-S83003AICD-10-D-S83003DICD-10-D-S83003S
      ICD-10-D-S83004AICD-10-D-S83004DICD-10-D-S83004S
      ICD-10-D-S83005AICD-10-D-S83005DICD-10-D-S83005S
      ICD-10-D-S83006AICD-10-D-S83006DICD-10-D-S83006S
      ICD-10-D-S83011AICD-10-D-S83011DICD-10-D-S83011S
      ICD-10-D-S83012AICD-10-D-S83012DICD-10-D-S83012S
      ICD-10-D-S83013AICD-10-D-S83013DICD-10-D-S83013S
      ICD-10-D-S83014AICD-10-D-S83014DICD-10-D-S83014S
      ICD-10-D-S83015AICD-10-D-S83015DICD-10-D-S83015S
      ICD-10-D-S83016AICD-10-D-S83016DICD-10-D-S83016S
      ICD-10-D-S83091AICD-10-D-S83091DICD-10-D-S83091S
      ICD-10-D-S83092AICD-10-D-S83092DICD-10-D-S83092S
      ICD-10-D-S83093AICD-10-D-S83093DICD-10-D-S83093S
      ICD-10-D-S83094AICD-10-D-S83094DICD-10-D-S83094S
      ICD-10-D-S83095AICD-10-D-S83095DICD-10-D-S83095S
      ICD-10-D-S83096AICD-10-D-S83096DICD-10-D-S83096S
      ICD-9, International Classification of Diseases, Ninth Revision; ICD-10, International Classification of Diseases, Tenth Revision.
      Appendix Table 2Depression Diagnosis Codes
      ICD-9-D-29620ICD-9-D-29621ICD-9-D-29622
      ICD-9-D-29623ICD-9-D-29624ICD-9-D-29625
      ICD-9-D-29626ICD-9-D-29630ICD-9-D-29631
      ICD-9-D-29632ICD-9-D-29633ICD-9-D-29634
      ICD-9-D-29635ICD-9-D-29636ICD-9-D-311
      ICD-10-D-F0631ICD-10-D-F0632ICD-10-D-F320
      ICD-10-D-F321ICD-10-D-F322ICD-10-D-F323
      ICD-10-D-F324ICD-10-D-F325ICD-10-D-F328
      ICD-10-D-F3281ICD-10-D-F3289ICD-10-D-F329
      ICD-10-D-F330ICD-10-D-F331ICD-10-D-F332
      ICD-10-D-F333ICD-10-D-F3340ICD-10-D-F3341
      ICD-10-D-F3342ICD-10-D-F338ICD-10-D-F339
      ICD-9, International Classification of Diseases, Ninth Revision; ICD-10, International Classification of Diseases, Tenth Revision.
      Appendix Table 3Anxiety Diagnosis Codes
      ICD-9-D-29384ICD-9-D-30000ICD-9-D-30001
      ICD-9-D-30002ICD-9-D-30009ICD-9-D-30020
      ICD-9-D-30021ICD-9-D-30022ICD-9-D-30023
      ICD-9-D-30029ICD-10-D-F064ICD-10-D-F4000
      ICD-10-D-F4001ICD-10-D-F4002ICD-10-D-F4010
      ICD-10-D-F4011ICD-10-D-F40210ICD-10-D-F40218
      ICD-10-D-F40220ICD-10-D-F40228ICD-10-D-F40230
      ICD-10-D-F40231ICD-10-D-F40232ICD-10-D-F40233
      ICD-10-D-F40240ICD-10-D-F40241ICD-10-D-F40242
      ICD-10-D-F40243ICD-10-D-F40248ICD-10-D-F40290
      ICD-10-D-F40291ICD-10-D-F40298ICD-10-D-F408
      ICD-10-D-F409ICD-10-D-F410ICD-10-D-F411
      ICD-10-D-F413ICD-10-D-F418ICD-10-D-F419
      ICD-9, International Classification of Diseases, Ninth Revision; ICD-10, International Classification of Diseases, Tenth Revision.
      Appendix Table 4Substance Use Diagnosis Codes
      ICD-10-D-F1010ICD-10-D-F1011ICD-10-D-F10120ICD-10-D-F10121
      ICD-10-D-F10129ICD-10-D-F10130ICD-10-D-F10131ICD-10-D-F10132
      ICD-10-D-F10139ICD-10-D-F1014ICD-10-D-F10150ICD-10-D-F10151
      ICD-10-D-F10159ICD-10-D-F10180ICD-10-D-F10181ICD-10-D-F10182
      ICD-10-D-F10188ICD-10-D-F1423ICD-10-D-F1019ICD-10-D-F1020
      ICD-10-D-F1021ICD-10-D-F10220ICD-10-D-F10221ICD-10-D-F10229
      ICD-10-D-F10230ICD-10-D-F10231ICD-10-D-F10232ICD-10-D-F10239
      ICD-10-D-F1024ICD-10-D-F10250ICD-10-D-F10251ICD-10-D-F10259
      ICD-10-D-F1026ICD-10-D-F1027ICD-10-D-F10280ICD-10-D-F10281
      ICD-10-D-F10282ICD-10-D-F10288ICD-10-D-F1029ICD-10-D-F10920
      ICD-10-D-F10921ICD-10-D-F10929ICD-10-D-F10930ICD-10-D-F10931
      ICD-10-D-F10932ICD-10-D-F10939ICD-10-D-F1094ICD-10-D-F10950
      ICD-10-D-F10951ICD-10-D-F10959ICD-10-D-F1096ICD-10-D-F1097
      ICD-10-D-F10980ICD-10-D-F10981ICD-10-D-F10982ICD-10-D-F10988
      ICD-10-D-F1099ICD-10-D-F1110ICD-10-D-F1111ICD-10-D-F11120
      ICD-10-D-F11121ICD-10-D-F11122ICD-10-D-F11129ICD-10-D-F1113
      ICD-10-D-F1114ICD-10-D-F11150ICD-10-D-F11151ICD-10-D-F11159
      ICD-10-D-F11181ICD-10-D-F11182ICD-10-D-F11188ICD-10-D-F1119
      ICD-10-D-F1120ICD-10-D-F1121ICD-10-D-F11220ICD-10-D-F11221
      ICD-10-D-F11222ICD-10-D-F11229ICD-10-D-F1123ICD-10-D-F1124
      ICD-10-D-F11250ICD-10-D-F11251ICD-10-D-F11259ICD-10-D-F11281
      ICD-10-D-F11282ICD-10-D-F11288ICD-10-D-F1129ICD-10-D-F1190
      ICD-10-D-F11920ICD-10-D-F11921ICD-10-D-F11922ICD-10-D-F11929
      ICD-10-D-F1193ICD-10-D-F1194ICD-10-D-F11950ICD-10-D-F11951
      ICD-10-D-F11959ICD-10-D-F11981ICD-10-D-F11982ICD-10-D-F11988
      ICD-10-D-F1199ICD-10-D-F1210ICD-10-D-F1211ICD-10-D-F12120
      ICD-10-D-F12121ICD-10-D-F12122ICD-10-D-F12129ICD-10-D-F1213
      ICD-10-D-F12150ICD-10-D-F12151ICD-10-D-F12159ICD-10-D-F12180
      ICD-10-D-F12188ICD-10-D-F1219ICD-10-D-F1220ICD-10-D-F1221
      ICD-10-D-F12220ICD-10-D-F12221ICD-10-D-F12222ICD-10-D-F12229
      ICD-10-D-F1223ICD-10-D-F12250ICD-10-D-F12251ICD-10-D-F12259
      ICD-10-D-F12280ICD-10-D-F12288ICD-10-D-F1229ICD-10-D-F1290
      ICD-10-D-F12920ICD-10-D-F12921ICD-10-D-F12922ICD-10-D-F12929
      ICD-10-D-F1293ICD-10-D-F12950ICD-10-D-F12951ICD-10-D-F12959
      ICD-10-D-F12980ICD-10-D-F12988ICD-10-D-F1299ICD-10-D-F1310
      ICD-10-D-F1311ICD-10-D-F13120ICD-10-D-F13121ICD-10-D-F13129
      ICD-10-D-F13130ICD-10-D-F13131ICD-10-D-F13132ICD-10-D-F13139
      ICD-10-D-F1314ICD-10-D-F13150ICD-10-D-F13151ICD-10-D-F13159
      ICD-10-D-F13180ICD-10-D-F13181ICD-10-D-F13182ICD-10-D-F13188
      ICD-10-D-F1319ICD-10-D-F1320ICD-10-D-F1321ICD-10-D-F13220
      ICD-10-D-F13221ICD-10-D-F13229ICD-10-D-F13230ICD-10-D-F13231
      ICD-10-D-F13232ICD-10-D-F13239ICD-10-D-F1324ICD-10-D-F13250
      ICD-10-D-F13251ICD-10-D-F13259ICD-10-D-F1326ICD-10-D-F1327
      ICD-10-D-F13280ICD-10-D-F13281ICD-10-D-F13282ICD-10-D-F13288
      ICD-10-D-F1329ICD-10-D-F1390ICD-10-D-F13920ICD-10-D-F13921
      ICD-10-D-F13929ICD-10-D-F13930ICD-10-D-F13931ICD-10-D-F13932
      ICD-10-D-F13939ICD-10-D-F1394ICD-10-D-F13950ICD-10-D-F13951
      ICD-10-D-F13959ICD-10-D-F1396ICD-10-D-F1397ICD-10-D-F13980
      ICD-10-D-F13981ICD-10-D-F13982ICD-10-D-F13988ICD-10-D-F1399
      ICD-10-D-F1410ICD-10-D-F1411ICD-10-D-F14120ICD-10-D-F14121
      ICD-10-D-F14122ICD-10-D-F14129ICD-10-D-F1413ICD-10-D-F1414
      ICD-10-D-F14150ICD-10-D-F14151ICD-10-D-F14159ICD-10-D-F14180
      ICD-10-D-F14181ICD-10-D-F14182ICD-10-D-F14188ICD-10-D-F1419
      ICD-10-D-F1420ICD-10-D-F1421ICD-10-D-F14220ICD-10-D-F14221
      ICD-10-D-F14222ICD-10-D-F14229ICD-10-D-F1424ICD-10-D-F14250
      ICD-10-D-F14251ICD-10-D-F14259ICD-10-D-F14280ICD-10-D-F14281
      ICD-10-D-F14282ICD-10-D-F14288ICD-10-D-F1429ICD-10-D-F1490
      ICD-10-D-F14920ICD-10-D-F14921ICD-10-D-F14922ICD-10-D-F14929
      ICD-10-D-F1493ICD-10-D-F1494ICD-10-D-F14950ICD-10-D-F14951
      ICD-10-D-F14959ICD-10-D-F14980ICD-10-D-F14981ICD-10-D-F14982
      ICD-10-D-F14988ICD-10-D-F1499ICD-10-D-F1510ICD-10-D-F1511
      ICD-10-D-F15120ICD-10-D-F15121ICD-10-D-F15122ICD-10-D-F15129
      ICD-10-D-F1513ICD-10-D-F1514ICD-10-D-F15150ICD-10-D-F15151
      ICD-10-D-F15159ICD-10-D-F15180ICD-10-D-F15181ICD-10-D-F15182
      ICD-10-D-F15188ICD-10-D-F1519ICD-10-D-F1520ICD-10-D-F1521
      ICD-10-D-F15220ICD-10-D-F15221ICD-10-D-F15222ICD-10-D-F15229
      ICD-10-D-F1523ICD-10-D-F1524ICD-10-D-F15250ICD-10-D-F15251
      ICD-10-D-F15259ICD-10-D-F15280ICD-10-D-F15281ICD-10-D-F15282
      ICD-10-D-F15288ICD-10-D-F1529ICD-10-D-F1590ICD-10-D-F15920
      ICD-10-D-F15921ICD-10-D-F15922ICD-10-D-F15929ICD-10-D-F1593
      ICD-10-D-F1594ICD-10-D-F15950ICD-10-D-F15951ICD-10-D-F15959
      ICD-10-D-F15980ICD-10-D-F15981ICD-10-D-F15982ICD-10-D-F15988
      ICD-10-D-F1599ICD-10-D-F1610ICD-10-D-F1611ICD-10-D-F16120
      ICD-10-D-F16121ICD-10-D-F16122ICD-10-D-F16129ICD-10-D-F1614
      ICD-10-D-F16150ICD-10-D-F16151ICD-10-D-F16159ICD-10-D-F16180
      ICD-10-D-F16183ICD-10-D-F16188ICD-10-D-F1619ICD-10-D-F1620
      ICD-10-D-F1621ICD-10-D-F16220ICD-10-D-F16221ICD-10-D-F16229
      ICD-10-D-F1624ICD-10-D-F16250ICD-10-D-F16251ICD-10-D-F16259
      ICD-10-D-F16280ICD-10-D-F16283ICD-10-D-F16288ICD-10-D-F1629
      ICD-10-D-F1690ICD-10-D-F16920ICD-10-D-F16921ICD-10-D-F16929
      ICD-10-D-F1694ICD-10-D-F16950ICD-10-D-F16951ICD-10-D-F16959
      ICD-10-D-F16980ICD-10-D-F16983ICD-10-D-F16988ICD-10-D-F1699
      ICD-10-D-F1810ICD-10-D-F1811ICD-10-D-F18120ICD-10-D-F18121
      ICD-10-D-F18129ICD-10-D-F1814ICD-10-D-F18150ICD-10-D-F18151
      ICD-10-D-F18159ICD-10-D-F1817ICD-10-D-F18180ICD-10-D-F18188
      ICD-10-D-F1819ICD-10-D-F1820ICD-10-D-F1821ICD-10-D-F18220
      ICD-10-D-F18221ICD-10-D-F18229ICD-10-D-F1824ICD-10-D-F18250
      ICD-10-D-F18251ICD-10-D-F18259ICD-10-D-F1827ICD-10-D-F18280
      ICD-10-D-F18288ICD-10-D-F1829ICD-10-D-F1890ICD-10-D-F18920
      ICD-10-D-F18921ICD-10-D-F18929ICD-10-D-F1894ICD-10-D-F18950
      ICD-10-D-F18951ICD-10-D-F18959ICD-10-D-F1897ICD-10-D-F18980
      ICD-10-D-F18988ICD-10-D-F1899ICD-10-D-F1910ICD-10-D-F1911
      ICD-10-D-F19120ICD-10-D-F19121ICD-10-D-F19122ICD-10-D-F19129
      ICD-10-D-F19130ICD-10-D-F19131ICD-10-D-F19132ICD-10-D-F19139
      ICD-10-D-F1914ICD-10-D-F19150ICD-10-D-F19151ICD-10-D-F19159
      ICD-10-D-F1916ICD-10-D-F1917ICD-10-D-F19180ICD-10-D-F19181
      ICD-10-D-F19182ICD-10-D-F19188ICD-10-D-F1919ICD-10-D-F1920
      ICD-10-D-F1921ICD-10-D-F19220ICD-10-D-F19221ICD-10-D-F19222
      ICD-10-D-F19229ICD-10-D-F19230ICD-10-D-F19231ICD-10-D-F19232
      ICD-10-D-F19239ICD-10-D-F1924ICD-10-D-F19250ICD-10-D-F19251
      ICD-10-D-F19259ICD-10-D-F1926ICD-10-D-F1927ICD-10-D-F19280
      ICD-10-D-F19281ICD-10-D-F19282ICD-10-D-F19288ICD-10-D-F1929
      ICD-10-D-F1990ICD-10-D-F19920ICD-10-D-F19921ICD-10-D-F19922
      ICD-10-D-F19929ICD-10-D-F19930ICD-10-D-F19931ICD-10-D-F19932
      ICD-10-D-F19939ICD-10-D-F1994ICD-10-D-F19950ICD-10-D-F19951
      ICD-10-D-F19959ICD-10-D-F1996ICD-10-D-F1997ICD-10-D-F19980
      ICD-10-D-F19981ICD-10-D-F19982ICD-10-D-F19988ICD-10-D-F1999
      ICD-9-D-3030ICD-9-D-30300ICD-9-D-30301ICD-9-D-30302
      ICD-9-D-30303ICD-9-D-3039ICD-9-D-30390ICD-9-D-30391
      ICD-9-D-30392ICD-9-D-30393ICD-9-D-304ICD-9-D-3040
      ICD-9-D-30400ICD-9-D-30401ICD-9-D-30402ICD-9-D-30403
      ICD-9-D-3041ICD-9-D-30410ICD-9-D-30411ICD-9-D-30412
      ICD-9-D-30413ICD-9-D-3042ICD-9-D-30420ICD-9-D-30421
      ICD-9-D-30422ICD-9-D-30423ICD-9-D-3043ICD-9-D-30430
      ICD-9-D-30431ICD-9-D-30432ICD-9-D-30433ICD-9-D-3044
      ICD-9-D-30440ICD-9-D-30441ICD-9-D-30442ICD-9-D-30443
      ICD-9-D-3045ICD-9-D-30450ICD-9-D-30451ICD-9-D-30452
      ICD-9-D-30453ICD-9-D-3046ICD-9-D-30460ICD-9-D-30461
      ICD-9-D-30462ICD-9-D-30463ICD-9-D-3047ICD-9-D-30470
      ICD-9-D-30471ICD-9-D-30472ICD-9-D-30473ICD-9-D-3048
      ICD-9-D-30480ICD-9-D-30481ICD-9-D-30482ICD-9-D-30483
      ICD-9-D-3049ICD-9-D-30490ICD-9-D-30491ICD-9-D-30492
      ICD-9-D-30493ICD-9-D-305ICD-9-D-3050ICD-9-D-30500
      ICD-9-D-30501ICD-9-D-30502ICD-9-D-30503ICD-9-D-3051
      ICD-9-D-30510ICD-9-D-30511ICD-9-D-30512ICD-9-D-30513
      ICD-9-D-3052ICD-9-D-30520ICD-9-D-30521ICD-9-D-30522
      ICD-9-D-30523ICD-9-D-3053ICD-9-D-30530ICD-9-D-30531
      ICD-9-D-30532ICD-9-D-30533ICD-9-D-3054ICD-9-D-30540
      ICD-9-D-30541ICD-9-D-30542ICD-9-D-30543ICD-9-D-3055
      ICD-9-D-30550ICD-9-D-30551ICD-9-D-30552ICD-9-D-30553
      ICD-9-D-3056ICD-9-D-30560ICD-9-D-30561ICD-9-D-30562
      ICD-9-D-30563ICD-9-D-3057ICD-9-D-30570ICD-9-D-30571
      ICD-9-D-30572ICD-9-D-30573ICD-9-D-3058ICD-9-D-30580
      ICD-9-D-30581ICD-9-D-30582ICD-9-D-30583ICD-9-D-3059
      ICD-9-D-30590ICD-9-D-30591ICD-9-D-30592ICD-9-D-30593
      ICD-10, International Classification of Diseases, Tenth Revision.
      Appendix Table 5Osteoarthritis Diagnosis Codes
      ICD-9-D-71516ICD-9-D-71526ICD-9-D-71536
      ICD-9-D-71596ICD-10-D-M170ICD-10-D-M1710
      ICD-10-D-M1711ICD-10-D-M1712ICD-10-D-M172
      ICD-10-D-M1730ICD-10-D-M1731ICD-10-D-M1732
      ICD-10-D-M174ICD-10-D-M175ICD-10-D-M179
      ICD-9, International Classification of Diseases, Ninth Revision; ICD-10, International Classification of Diseases, Tenth Revision.

      References

        • Morris B.J.
        • Mir H.R.
        The opioid epidemic: Impact on orthopaedic surgery.
        J Am Acad Orthop Surg. 2015; 23: 267-271
        • Castle J.P.
        • Jildeh T.R.
        • Buckley P.J.
        • Abbas M.J.
        • Mumuni S.
        • Okoroha K.R.
        Older, heavier, arthritic, psychiatrically disordered, and opioid-familiar patients are at risk for opioid use after medial patellofemoral ligament reconstruction.
        Arthrosc Sports Med Rehabil. 2021; 3: e2025-e2031
        • Kattail D.
        • Hsu A.
        • Yaster M.
        • et al.
        Attitudes and self-reported practices of orthopedic providers regarding prescription opioid use.
        J Opioid Manag. 2019; 15: 213-228
        • Okoli M.U.
        • Rondon A.J.
        • Townsend C.B.
        • Sherman M.B.
        • Ilyas A.M.
        Opioid Use in Orthopaedic Surgery Study Group. Comprehensive analysis of opioid use after common elective outpatient orthopaedic surgeries.
        J Am Acad Orthop Surg Glob Res Rev. 2022; 6
        • Wu L.
        • Li M.
        • Zeng Y.
        • et al.
        Prevalence and risk factors for prolonged opioid use after total joint arthroplasty: A systematic review, meta-analysis, and meta-regression.
        Arch Orthop Trauma Surg. 2021; 141: 907-915
        • Rao A.G.
        • Chan P.H.
        • Prentice H.A.
        • Paxton E.W.
        • Funahashi T.T.
        • Maletis G.B.
        Risk factors for opioid use after anterior cruciate ligament reconstruction.
        Am J Sports Med. 2019; 47: 2130-2137
        • Dall'Oca C.
        • Elena N.
        • Lunardelli E.
        • Ulgelmo M.
        • Magnan B.
        MPFL reconstruction: Indications and results.
        Acta Biomed. 2020; 91: 128-135
        • Kluczynski M.A.
        • Miranda L.
        • Marzo J.M.
        Prevalence and site of medial patellofemoral ligament injuries in patients with acute lateral patellar dislocations: A systematic review and meta-analysis.
        Orthop J Sports Med. 2020; 82325967120967338
        • Ji G.
        • Wang S.
        • Wang X.
        • Liu J.
        • Niu J.
        • Wang F.
        Surgical versus nonsurgical treatments of acute primary patellar dislocation with special emphasis on the MPFL injury patterns.
        J Knee Surg. 2017; 30: 378-384
        • Corey R.M.
        • Rabe J.
        • Yalcin S.
        • Saluan P.
        • Farrow L.D.
        Factors associated with pain and function before medial patellofemoral ligament reconstruction.
        Orthop J Sports Med. 2022; 1023259671221116150
      1. PearlDiver. PearlDiver 2022. https://pearldiverinc.com/. Accessed October 5, 2022.

        • Baron J.E.
        • Khazi Z.M.
        • Duchman K.R.
        • Westermann R.W.
        Risk factors for opioid use after patellofemoral stabilization surgery: A population-based study of 1,316 cases.
        Iowa Orthop J. 2020; 40: 37-45
        • Prentice H.A.
        • Inacio M.C.S.
        • Singh A.
        • Namba R.S.
        • Paxton E.W.
        Preoperative risk factors for opioid utilization after total hip arthroplasty.
        J Bone Joint Surg Am. 2019; 101: 1670-1678
        • Serdarevic M.
        • Striley C.W.
        • Cottler L.B.
        Sex differences in prescription opioid use.
        Curr Opin Psychiatry. 2017; 30: 238-246
        • Back S.E.
        • Lawson K.M.
        • Singleton L.M.
        • Brady K.T.
        Characteristics and correlates of men and women with prescription opioid dependence.
        Addict Behav. 2011; 36: 829-834
        • Harris A.B.
        • Marrache M.
        • Puvanesarajah V.
        • et al.
        Are preoperative depression and anxiety associated with patient-reported outcomes, health care payments, and opioid use after anterior discectomy and fusion?.
        Spine J. 2020; 20: 1167-1175
        • Kurkis G.
        • Wilson J.M.
        • Anastasio A.T.
        • Farley K.X.
        • Bradbury T.L.
        Preoperative diagnosis of depression leads to increased opioid tablets taken after total hip arthroplasty: A prospective study.
        J Surg Orthop Adv. 2021; 30: 144-149
        • Garcia G.H.
        • Wu H.H.
        • Park M.J.
        • et al.
        Depression symptomatology and anterior cruciate ligament injury: Incidence and effect on functional outcome--a prospective cohort study.
        Am J Sports Med. 2016; 44: 572-579
        • Cunningham D.J.
        • LaRose M.A.
        • Gage M.J.
        Impact of substance use and abuse on opioid demand in lower extremity fracture surgery.
        J Orthop Trauma. 2021; 35: e171-e176
        • Wood J.T.
        • Sambandam S.
        • Wukich D.K.
        • McCrum C.L.
        Self-reported cannabis use is not associated with increased opioid use or costs after hip arthroscopy.
        Arthroscopy. 2022; 38: 2227-2231 e2224
      2. Bowers NL, Hao KA, Trivedi S, et al. Self-reported cannabis use is not associated with greater opioid use in elective hand surgery patients [published online August 20, 2022]. Eur J Orthop Surg Traumatol. doi:10.1007/s00590-022-03321-z.

        • Moon A.S.
        • LeRoy T.E.
        • Yacoubian V.
        • Gedman M.
        • Aidlen J.P.
        • Rogerson A.
        Cannabis use is associated with increased use of prescription opioids following posterior lumbar spinal fusion surgery.
        Global Spine J. 2022; 21925682221099857
        • Kunkel S.T.
        • Gregory J.J.
        • Sabatino M.J.
        • et al.
        Does preoperative opioid consumption increase the risk of chronic postoperative opioid use after total joint arthroplasty?.
        Arthroplast Today. 2021; 10: 46-50
        • Rogers M.J.
        • LaBelle M.W.
        • Kim J.
        • et al.
        Effect of perioperative opioid use on patients undergoing hip arthroscopy.
        Orthop J Sports Med. 2022; 1023259671221077933
        • Khazi Z.M.
        • Lu Y.
        • Patel B.H.
        • Cancienne J.M.
        • Werner B.
        • Forsythe B.
        Risk factors for opioid use after total shoulder arthroplasty.
        J Shoulder Elbow Surg. 2020; 29: 235-243