Poster 132: Smokeless Tobacco Use is Associated with Increased Perioperative Complications and Revision Surgery After Anterior Cruciate Ligament Reconstruction
Objectives: Tobacco use is a known modifiable risk factor for postoperative complications and revision surgery after anterior cruciate ligament reconstruction (ACLR). Prior studies focus on “tobacco” as a broad categorization of traditional cigarette smoking, smokeless tobacco, and other forms of nicotine use. It is unclear if differences in the type of nicotine used lead to similar adverse outcomes after ACLR. Thus, the purpose of this study was to (1) assess the incidence of postoperative complications among ACLR patients who use smokeless tobacco, and (2) compare these outcomes with those of patients who do not use tobacco and those who smoke cigarettes. Methods: A retrospective cohort study utilizing a large insurance database was conducted. Patients undergoing primary ACLR without concomitant knee procedures with a minimum 2-year follow-up were included. Smokeless tobacco only users, cigarette only users, and non-tobacco users were matched based on demographic variables and comorbidities. Postoperative complications within 90 days of surgery and subsequent knee surgery within 2 years were compared among groups. Multivariable logistic regressions were employed to control for confounding variables. Results: After applying exclusion criteria, there were 241,194 ALCR patients eligible for analysis. Of these, there were 898 (0.37%) patients that used smokeless tobacco only, 22,062 (9.1%) patients that exclusively used cigarettes, and 207,462 (86%) patients that did not use any tobacco products. Compared to non-users, smokeless tobacco users demonstrated increased risk of emergency department (ED) utilization (20.4% vs 8.7%, OR: 6.29; 95% CI: 3.70-10.9, p<0.001), pneumonia (1.2% vs 0.5%, OR: 3.36; 95% CI: 1.41-7.90, p=0.005), and acute kidney injury (AKI) (1.2% vs 0.1%, OR:12.7; 95% CI: 3.77-52.8, p<0.001) within 90 days of surgery. Additionally, smokeless tobacco users had a markedly increased risk of subsequent ACLR (13.5% vs 3.2%, OR: 4.75; 95% CI: 3.60-6.26, p<0.001) and meniscus surgery (12.9% vs 4.9%, OR: 2.89; 95% CI: 2.23-3.73, p<0.001) within 2 years compared to controls. When compared to cigarette smokers, smokeless tobacco users showed increased risk of ED visits (20.6% vs 19.3%, OR: 1.55; 95% CI: 1.25-1.90, p<0.001), pneumonia (1.2% vs 0.6%, OR: 3.25; 95% CI: 1.33-7.78, p=0.008), and AKI (1.3% vs 0.3%, OR: 7.63; 95% CI: 2.72-22.5, p<0.001) within 90 days. They also demonstrated a significantly increased risk of subsequent ACLR (13.4% vs 4.1%, OR: 4.81; 95% CI: 3.58-6.47, p<0.001) and meniscus surgery (12.8% vs 5.5%, OR: 2.45; 95% CI: 2.45-4.26, p<0.001) within 2 years when compared to cigarette smokers. Conclusions: Smokeless tobacco use was associated with increased risk of medical complications, ED utilization, and subsequent procedures compared to non-user controls and traditional smokers. These findings highlight the importance of considering specific forms of tobacco use in preoperative screening for patients undergoing ACLR.
Type IV Hereditary Sensory and Autonomic Neuropathy: Challenges and Functional Outcomes
Background: Type IV Hereditary Sensory and Autonomic Neuropathy (HSAN IV) is an exceedingly rare autosomal recessive disease classically characterized by generalized loss of temperature/pain sensation, intellectual disability, and anhidrosis. HSAN IV patients are subject to repeated orthopaedic injuries and complications. There is some data on the clinical presentation, but limited data on the diagnostic and treatment challenges, and functional outcomes with HSAN IV. Methods: This is a retrospective case series of 4 siblings with HSAN IV. Medical records were reviewed for data regarding presentation, diagnosis, and management. Functional outcomes were assessed using the Pediatric Outcomes Data Collection Instrument, with historical normative data used as a control. The 2 populations were evaluated with a Welch-modified 2-sample t test to explore the alternative hypothesis that HSAN IV patients are significantly functionally impaired. Results: Our study included 4 siblings, 2 males and 2 females, aged 3, 8, 12, and 21 years, respectively. The average time to diagnosis was 53 months, and each diagnosis was confirmed through whole-exome sequencing. The challenges faced included delayed diagnosis, diverse clinical presentations, unestablished treatment guidelines, and unnecessary healthcare utilization before definitive diagnosis. The comparison of means between the normative population and the HSAN IV patients revealed a significant difference in sports/play ( T -score =−4.14, P =0.025) and global function ( T -score =−3.19, P =0.049) but no significant difference in upper extremity function ( P =0.216), transfer mobility ( P =0.164), pain/comfort ( P =0.955), and happiness ( P =0.995). Conclusions: HSAN IV is a rare genetic condition with protean clinical manifestations that can result in significant deficits in play and global function. The clinical manifestations are varied, including multiple fractures, delayed/abnormal fracture healing, bone deformity, osteomyelitis, and various other non-orthopaedic manifestations. Whole-exome sequencing is a useful tool that, when combined with a high index of clinical suspicion, can expedite the diagnostic process for HSAN IV. Patients can benefit from earlier diagnosis and earlier access to education to prevent functional deterioration and repeat medical interventions. Level of Evidence: IV—case series.
Myocardial Infarction Prior to TKA Is Associated with Increased Risk of Medical and Surgical Complications in a Time-Dependent Manner
Background: There has been minimal literature evaluating how a prior myocardial infraction (MI) influences outcomes after total knee arthroplasty (TKA). Thus, the purpose of this study was to evaluate how the timing, type, and treatment of MI prior to TKA affect postoperative cardiac complications, general medical complications, and surgical complications. Methods: A retrospective comparative study was conducted using a large insurance database. Patients undergoing primary TKA for osteoarthritis were included. Patients who had experienced MI within 2 years before TKA were identified and were matched 1:4 with patients who had not had such an MI on the basis of demographic variables and comorbidities. Patients who had a prior MI were stratified into 4 groups based on the timing of the MI: 0 to <6 months, 6 to <12 months, 12 to <18 months, and 18 to 24 months before TKA. The rates of postoperative cardiac, general medical, and surgical complications were compared between groups. Subanalyses on the prior MI type, treatment, and location were performed. Results: Prior MI was associated with increased risks of postoperative MI (odds ratio [OR], 3.97 [95% confidence interval (CI), 3.20 to 4.93]), heart failure (OR, 1.45 [95% CI, 1.24 to 1.75]), and 90-day mortality (OR, 2.15 [95% CI, 1.41 to 3.28]). The risk of postoperative MI was highest for those with MI within 6 months before TKA (OR, 6.86 [95% CI, 5.34 to 8.82]). Type-1 MI, ST-elevation MI (STEMI), non-ST-elevation MI (NSTEMI), and anterior and inferior MIs were linked to elevated postoperative MI and/or mortality risks, with timing closer to surgery further amplifying the risk. Percutaneous coronary intervention within 6 months before TKA also increased postoperative risks. Type-2 MI within 6 months before TKA was associated with an increased risk of periprosthetic joint infection compared with controls (OR, 4.23 [95% CI, 1.67 to 10.67]). Conclusions: Patients who had a prior MI, particularly within 6 months before TKA, had significantly elevated risks of postoperative MI, heart failure, and mortality. Outcomes varied by MI type, treatment, and location, with type-1 MIs and STEMIs increasing the postoperative mortality risk. Level of Evidence: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.
Isolation of Multiple Positive Cultures at Resection Arthroplasty is a Predictor of Failure Following Reimplantation
Background: Although it is well established that the type of organism can be a risk factor for failure in patients with periprosthetic joint infection (PJI), no study to date has examined the impact of the number of positive cultures on treatment outcomes in patients undergoing 2-stage exchange. The purpose of this multicenter study was to determine the prognostic utility of multiple positive cultures at resection as a predictor of failure following reimplantation. Methods: This retrospective multicenter study identified 437 patients with chronic knee PJI who had undergone 2-stage exchange arthroplasty with a minimum of 1 year of follow-up following reimplantation. PJI was defined with use of the 2013 Musculoskeletal Infection Society (MSIS) criteria. Patients with culture-negative PJI were excluded (n = 138). Treatment failure was defined as either any reoperation for infection or PJI-related mortality. Multivariable regression controlling for risk factors for failure after a 2-stage arthroplasty was performed to determine whether ≥2 positive intraoperative cultures at resection can predict outcomes following reimplantation when compared with a single positive culture. Results: Two hundred and ninety-nine patients were included. At a mean follow-up of 6.2 ± 2.6 years, 48 patients (16.1%) experienced failure. Patients who had a failure were more likely to have had a longer interstage interval (p = 0.038) and were also more likely to have had ≥2 positive cultures at the time of resection arthroplasty (95.8% versus 75.3%; p = 0.001). On regression analysis, ≥2 positive cultures at resection was the only variable that was identified as a risk factor for failure following reimplantation in both the univariate (odds ratio [OR], 7.55 [95% CI, 2.24 to 47.0]; p = 0.006) and multivariable models (OR, 8.12 [95% CI, 2.31 to 51.9]; p = 0.005). Conclusions: This is the first study to examine the impact of the number of positive cultures on outcomes in patients with PJI. We found that the presence of ≥2 positive cultures at resection was an indicator of a poor prognosis and resulted in a greater than eightfold increase in the risk of treatment failure in patients undergoing a 2-stage exchange. Level of Evidence: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.
Medicaid Reimbursement for Common Orthopaedic Foot and Ankle Procedures Is Highly Inconsistent Among States, Ranging from 37% to 324% of Medicare Reimbursement
Background: Medicaid reimbursement to physicians is often perceived to be lower than Medicare, but little is known about orthopaedic foot and ankle reimbursement. This study sought to compare Medicare and Medicaid reimbursement for the 20 most common foot and ankle procedures. Methods: Medicare reimbursement rates for common foot and ankle codes were obtained from the online Centers for Medicare & Medicaid fee schedule, while Medicaid rates were found from individual state fee schedule websites. Medicaid rates were compared by state and pooled to obtain national differences. The Medicare Wage Index was used to adjust Medicaid rates by state wages to ensure a more accurate comparison. Variability between states was measured using state percentages of Medicare and coefficient of variation values. Results: Medicaid reimbursed physicians higher than Medicare in 31 states overall, with average reimbursement ranging from 37% to 324% of Medicare. Nationally, Medicaid reimbursed 8.8% higher than Medicare, but Medicare reimbursed 3.7% higher when adjusted for the Medicare Wage Index. The Current Procedural Terminology ( CPT ) codes with the highest ratio of Medicaid to Medicare reimbursement were CPT 28002 for incision and drainage of the foot (176.6%) and CPT 28820 for toe amputation (167.6%). Five codes had lower relative Medicaid reimbursement on average: CPT 27687 for repair procedures on the leg and ankle joint, CPT 28810 for amputation procedures on the foot and toes, CPT 28010 for toe tenotomy, CPT 28005 for incision procedures on the foot and toes, and CPT 28470 for closed treatment of a metatarsal fracture. The coefficient of variation values ranged from 0.34 to 0.84 in the Medicaid group and 0.40 to 0.78 in the adjusted group, indicating high variability between states and between procedures. Conclusion: Medicaid reimbursement is highly inconsistent between states, ranging from 37% to 324% of Medicare. Medicaid reimbursed more than Medicare overall, which is in contrast with most published findings that tend to show higher reimbursement for Medicare when compared to Medicaid. When adjusting for wage differences between states, Medicare reimbursed slightly higher than Medicaid. Level of Evidence: Level IV, economic analysis.
Association of Smokeless Tobacco Use With Perioperative Complications and Revision Surgery After Anterior Cruciate Ligament Reconstruction
Background: Tobacco use is a known modifiable risk factor for postoperative complications and revision surgery after anterior cruciate ligament reconstruction (ACLR). Previous studies focus on tobacco as a broad categorization of traditional smoking, smokeless tobacco, and other forms of nicotine use. It is unclear if differences in the type of nicotine used lead to similar adverse outcomes after ACLR. Purposes: To (1) assess the incidence of postoperative complications among ACLR patients who use smokeless tobacco and (2) compare these outcomes with those of patients who do not use tobacco and those who smoke tobacco. Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective cohort study utilizing the PearlDiver database was conducted. Patients undergoing primary ACLR with a minimum 2-year follow-up were included. Smokeless tobacco users (n = 898), cigarette smokers (n= 22,062), and non–tobacco users (n= 207,462) were matched based on patient variables and comorbidities. Postoperative complications within 90 days of surgery and subsequent knee surgery within 2 years were compared among groups. Multivariable logistic regressions were used to control for confounding variables. Results: Compared with nonusers, smokeless tobacco users demonstrated an increased risk of pneumonia (odds ratio [OR], 3.36; 95% CI, 1.41-7.90), acute kidney injury (OR, 12.7; 95% CI, 3.77-52.8), and emergency department (ED) utilization (OR, 6.29; 95% CI, 3.70-10.9) within 90 days of the ACLR. Additionally, smokeless tobacco users had an increased risk of ACLR (OR, 4.75; 95% CI, 3.60-6.26) and meniscal surgery (OR, 2.89; 95% CI, 2.23-3.73) within 2 years. When compared with cigarette smokers, smokeless tobacco users showed an increased risk of pneumonia (OR, 3.25; 95% CI, 1.33-7.78), acute kidney injury (OR, 7.63; 95% CI, 2.72-22.5), and ED visits (OR, 1.55; 95% CI, 1.26-1.90) within 90 days and subsequent ACLR (OR, 4.81; 95% CI, 3.58-6.47) and meniscal surgery (OR, 3.23; 95% CI, 2.45-4.26) within 2 years. Conclusion: Smokeless tobacco use was associated with an increased risk of medical complications, ED utilization, and subsequent procedures compared with nonuser controls and traditional smokers. These findings highlight the importance of considering specific forms of tobacco use in preoperative screening for patients undergoing ACLR.
Medicaid Reimbursement for 20 Commonly Billed Orthopaedic Sports Medicine Procedures Was 14.9% Less Than Medicare
Purpose To compare Medicaid and Medicare rates for the 20 most commonly billed orthopaedic sports medicine procedures. Methods Medicaid reimbursement rates were obtained from state‐specific fee schedules. Medicare rates were collected from the Centers for Medicare & Medicaid Services Physician Fee Schedule, along with relative value units for each procedure. State rates were compared using averages and dollar differences. Reimbursement rates were adjusted for cost of living using the Medicare Wage Index. Variability between states and between procedures was assessed using coefficients of variation. Results Mean Medicaid reimbursement was lower than that of Medicare for 19 of the 20 procedures. In total, Medicaid reimbursed surgeons 14.9% less when data were unadjusted and 26.0% less when data were adjusted for cost of living. Variation in Medicare rates between states was constant, with a coefficient of variation of 0.06. For Medicaid, the coefficients of variation ranged from 0.27 to 0.70 for unadjusted data and from 0.35 to 0.69 for adjusted data. Conclusions On average, Medicaid reimburses orthopaedic sports medicine specialists less than does Medicare, with substantial variability between states. Adjustment for cost of living increases the percentage difference and the variability between states’ Medicaid reimbursement rates. Level of Evidence Level IV, economic analysis.
The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic
Abstract ➤ The COVID-19 pandemic created a persistent surgical backlog in elective orthopedic surgeries. ➤ Artificial intelligence (AI) uses computer algorithms to solve problems and has potential as a powerful tool in health care. ➤ AI can help improve current and future orthopedic backlogs through enhancing surgical schedules, optimizing preoperative planning, and predicting postsurgical outcomes. ➤ AI may help manage existing waitlists and increase efficiency in orthopedic workflows.
Medicaid Reimbursement for Common Orthopaedic Trauma Procedures Is 16.0% Less Compared With Medicare With Substantial Variability Between States
OBJECTIVES: This study seeks to evaluate the variability of Medicaid reimbursement and compare it with Medicare reimbursement using the 20 most commonly billed orthopaedic trauma Current Procedural Terminology (CPT) codes nationwide. The authors anticipate significant variability between states and hypothesize that Medicaid payment will be significantly less than Medicare payment. METHODS: The top 20 most common orthopaedic trauma surgery procedural codes were identified from a previous analysis performed by Haglin et al. The Centers for Medicare and Medicaid Services Physician Fee Schedule was used to determine reimbursement rates from Medicare, and state Medicaid fee schedules were used to determine reimbursement rates for Medicaid. State Medicaid rates were compared with their corresponding Medicare rates to determine a dollar difference. In addition, the dollar difference for each CPT code was divided by its respective physician relative value unit. This was used to acknowledge the possible variability in the complexity of orthopaedic procedures and the related physician effort. The Medicare Wage Index was used to adjust Medicaid rates based on the cost of living for the state as well. Coefficients of variation were calculated to represent overall variability in Medicaid and Medicare reimbursement rates. RESULTS: The mean reimbursement rates for Medicaid were lower for all 20 procedures compared with Medicare. On average, Medicaid reimbursed 16.0% less than Medicare and 29.6% less when adjusting for cost of living. MCD reimbursed at a higher rate than MCR for all procedures in only 9 states (Alaska, Arizona, Arkansas, Montana, Nebraska, New Jersey, New Mexico, North Dakota, and South Dakota) while 38 states reimbursed at a lower rate than MCR, on average. The coefficient of variation ranged from 0.24 to 0.34 for the Medicaid unadjusted group and from 0.35 to 0.46 for the Medicare Wage Index–adjusted group. By contrast, the Medicare group was consistent at 0.06 for all 20 procedures. The average dollar difference across the 20 CPT codes for Medicaid reimbursement compared with Medicare reimbursement ranged from −$76.89 to −$225.17, and the dollar difference per relative value unit ranged from −$5.96 to −$15.16. CONCLUSIONS: This study found a high amount of variation between state Medicaid reimbursement rates and average rates that were significantly lower than Medicare reimbursement rates for the top 20 most used orthopaedic trauma CPT codes as identified by Haglin et al. The discrepancy in reimbursement was increased when Medicaid rates were adjusted for state cost of living. LEVEL OF EVIDENCE: Prognostic, Level III. See Instructions for Authors for a complete description of levels of evidence.