What this is
- This research evaluates the effects of GLP-1 agonists on postoperative outcomes in diabetic patients undergoing foot and ankle fusion surgeries.
- A total of 783 patients were analyzed for rates of pseudarthrosis and infection after procedures like tibiotalar fusion, subtalar fusion, and triple arthrodesis.
- Findings indicate that GLP-1 agonist use is associated with lower rates of pseudarthrosis but no significant differences in infection rates.
Essence
- GLP-1 agonists are linked to lower pseudarthrosis rates following foot and ankle fusion surgeries in diabetic patients, with no impact on infection rates.
Key takeaways
- Pseudarthrosis rates were lower for patients using GLP-1 agonists at 15.9% compared to 20.2% for those not using them. This suggests a potential benefit of GLP-1 therapy in enhancing fusion outcomes.
- Subtalar fusion patients on GLP-1 agonists had a pseudarthrosis rate of 17.2% vs. 23.4% in controls, indicating a significant improvement. Triple arthrodesis patients also showed better outcomes at 12.4% vs. 21.9%.
- No significant differences in infection rates were observed across any procedures, suggesting that while GLP-1 agonists may aid fusion, they do not increase infection risk.
Caveats
- The study is limited by its retrospective design, which may affect the accuracy of coding data and outcomes. Variability in procedure types could introduce confounding factors.
- The analysis did not account for individual patient imaging or functional status, which are critical for assessing fusion quality.
- Confounding from different dosages and indications for GLP-1 usage may influence results, as the duration of therapy could affect outcomes.
AI simplified
Introduction
Glucagon-like peptide 1 (GLP-1) receptor agonists are commonly used to treat diabetes and obesity and to decrease the risk of heart attack and stroke.14 These medications work through "augmentation of hyperglycemia-induced insulin secretion and suppression of glucagon secretion at hyper- or euglycemia."10 Drugs within the class have the same underlying mechanism of action, however, various GLP-1 receptor agonists have varying formulations and methods of administration.4 Use of drugs in this category has skyrocketed, with prescriptions of semaglutide in the United States climbing to more than 8 000 000 at the end of 2022, with a greater than 300% increase in prescription volume demonstrated between Q1 2020 and Q4 2022.16
Despite the success and increasing popularity of these medications, there are important side effects that can affect patients perioperatively. The American Society of Anesthesiologists has issued consensus-based guidelines, which include pausing GLP-1 receptor agonists before surgery out of concern for regurgitation and aspiration in the setting of delayed gastric emptying.8 These medications may also play a role in bone quality: clinical trial data have demonstrated that patients taking semaglutide have a 5 times increased risk of hip and pelvic fractures in female patients and 4 times increased risk in patients older than 75 years of age (1.0% [24/2448] vs 0.2% [5/2424], 2.4% [17/703] vs 0.6% [4/663], respectively).5
Tibiotalar joint degeneration can result in significant pain and functional limitations. First described by Albert in 1879, ankle arthrodesis has emerged as a reliable way to achieve good clinical outcomes with widely reported rates of successful union and infection.18 Similarly, subtalar arthritis can be responsible for significant pain and functional limitation, with subtalar arthrodesis providing reliable improvements in pain and function. It is understood that poor glucose control increases risk of infection and nonunion in the setting of ankle and/or hindfoot arthrodesis. Therefore, in the setting of increasing use of GLP-1 receptor agonists, and the lack of literature examining the potential impact on orthopaedic procedures, we examine rates of infection and nonunion in patients treated with GLP-1 agonist therapy.
Methods
The TriNetX Databse was chosen for its wide inclusion of more than 100 Healthcare Organizations (HCOs) encompassing main and satellite locations, academic and nonacademic settings, and pharmacy data. Data are prospectively collected and deidentified by the HCO via their Electronic Medical Record and shared with TriNetX. TriNetX was queried for patients with an underlying diagnosis of type 2 diabetes mellitus who underwent tibiotalar fusion, subtalar fusion, and triple arthrodesis from 2005 to 2024. Arthroscopic procedure codes were excluded to limit experimental variables and reduce confounding. Pantalar fusions were excluded due to a much smaller sample size (n < 100) relative to the included procedures. Current Procedural Terminology (CPT) coding was used to query procedure types (Table 1). International Classification of Diseases (ICD) coding was not used because it lacks unique codes to distinguish Subtalar Fusion and Triple Arthrodesis in the TriNetX system. Patients were split into cohorts based on whether they had been prescribed or represcribed GLP1-agonist medications up to 1 year before surgery. Medication data was queried using TriNetX medication data codes for the following medications: tirzepatide, semaglutide, lixisenatide, dulaglutide, liraglutide, and pramlintide.
Cohorts were propensity-matched 1:1 according to a greedy-nearest-neighbor matching algorithm with a caliper of 0.1 pooled SDs. Categorical variables included in the model were age at procedure, race, sex, and nicotine dependence. Body mass index (BMI), glycated hemoglobin (HbA1c), and estimated glomerular filtration rate were used to balance the cohort for severity of diabetes. Cohorts were balanced for these variables based on the categorizations in Table 2. Outcomes of interest in this study were evaluated at 1 year and included failure to achieve fusion and postsurgical infection. Failure to achieve fusion was defined as those patients receiving a new diagnosis of ICD-10 code M96.0, pseudarthrosis after fusion, or arthrodesis. Postsurgical infection was defined as those patients with a new diagnosis of ICD-10 code T81.4, infection following a procedure.
The percentages of patients from each cohort who developed these outcomes were compared for each procedure type. Subsequently, a combined analysis was performed analyzing outcomes after any of the 3 procedures (tibiotalar fusion, subtalar fusion, and triple arthrodesis). The TriNetX platform software was used to run χ2 tests for statistical significance. Statistical significance was set at P <.05 with associated 95% CIs.
| Procedure | CPT |
|---|---|
| Tibiotalar fusions | 27870 |
| Subtalar fusion | 28725 |
| Triple arthrodesis | 28715 |
| BMI | HbA1c | eGFR |
|---|---|---|
| 0-20 | 0-5.6 | 0-15 |
| 21-25 | 5.6-6.5 | 15-30 |
| 26-30 | 6.6-7.5 | 30-45 |
| 31-35 | 7.6-8.5 | 45-60 |
| 36-40 | 8.6-9.5 | 60-90 |
| 40+ | 9.5+ | 90+ |
Results
Two cohorts of 783 patients undergoing tibiotalar, subtalar, or triple arthrodeses fusions were compared using CPT coding in this study (Table 1). Among patients treated with GLP-1 agonists, the overall rate of postoperative pseudarthrosis was found to be lower (15.9% vs 20.2%, P = .0129; relative risk [RR] 1.26, 95% CI 1.02-1.56). Comparison of constituent procedures in isolation showed a lower rate of pseudarthrosis GLP-1–receiving patients who underwent subtalar fusion (17.2% vs 23.4%, P = .0292; RR 1.36, 95% CI 1.03-1.79) and triple arthrodesis (12.4% vs 21.9%, P = .0120; RR 1.76, 95% CI 1.12-2.76). No significant difference was found in rates of pseudarthrosis after tibiotalar fusion (19.8% vs 21.5%, P = .5692; RR 1.09, 95% CI 0.81-1.46). No difference was detected in postoperative infection rates for any of the procedure types (Table 3). Additional data on patient demographic breakdown is provided in Table 4.
| OnlyCPT | Cohort Size, n | Pseudarthrosis, n (%) | Infection, n (%) |
|---|---|---|---|
| Tibiotalar | |||
| Without GLP-1 | 339 | 73 (21.5) | 43 (12.7) |
| With GLP-1 | 339 | 67 (19.8) | 42 (12.4) |
| P | 0.5692 | 0.9077 | |
| RR (95% CI) | 1.09 (0.81, 1.46) | 1.02 (0.65, 1.62) | |
| Subtalar | |||
| Without GLP-1 | 406 | 95 (23.4) | 42 (10.3) |
| With GLP-1 | 406 | 70 (17.2) | 50 (12.3) |
| P | 0.0292 | 0.3758 | |
| RR (95% CI) | 1.36 (1.03, 1.79) | 0.84 (0.57, 1.24) | |
| Triple | |||
| Without GLP-1 | 201 | 44 (21.9) | 18 (8.9) |
| With GLP-1 | 201 | 25 (12.4) | 16 (7.9) |
| P | 0.012 | 0.72 | |
| RR (95% CI) | 1.76 (1.12, 2.76) | 1.13 (0.59, 2.14) | |
| Tibiotalar or subtalar or triple | |||
| Without GLP-1 | 783 | 158 (20.2) | 73 (9.3) |
| With GLP-1 | 783 | 125 (15.9) | 77 (9.8) |
| P | 0.0129 | 0.73 | |
| RR (95% CI) | 1.26 (1.02, 1.56) | 0.83 (0.67, 1.32) |
| Without GLP-1 | With GLP 1 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Characteristic | Patient Count | Percent | Mean | SD | Patient Count | Percent | Mean | SD | ValueP |
| Age at index | 783 | 100 | 57.15 | 12.05 | 783 | 100 | 57.74 | 9.93 | 0.29 |
| White | 568 | 72.54 | 566 | 72.29 | 0.91 | ||||
| Male | 379 | 48.4 | 371 | 47.38 | 0.69 | ||||
| Black or African American | 126 | 16.09 | 119 | 15.2 | 0.63 | ||||
| Hispanic or Latino | 78 | 9.96 | 76 | 9.71 | 0.87 | ||||
| Asian | 10 | 1.28 | 10 | 1.28 | >.99 | ||||
| Medical comorbidities | |||||||||
| Chronic ischemic heart disease | 164 | 20.95 | 173 | 22.1 | 0.58 | ||||
| Personal history of nicotine dependence | 151 | 19.29 | 149 | 19.03 | 0.9 | ||||
| Peripheral vascular disease | 116 | 14.82 | 118 | 15.07 | 0.89 | ||||
| Chronic obstructive pulmonary disease | 58 | 7.41 | 71 | 9.07 | 0.23 | ||||
| Fibrosis and cirrhosis of liver | 25 | 3.19 | 23 | 2.94 | 0.77 | ||||
| eGFR | 605 | 77.27 | 69.16 | 30.2 | 591 | 75.48 | 70.12 | 29.32 | 0.58 |
| 0-30 | 144 | 18.39 | 139 | 17.75 | 0.74 | ||||
| 30-60 | 302 | 38.57 | 310 | 39.59 | 0.68 | ||||
| 60-90 | 403 | 51.47 | 425 | 54.28 | 0.27 | ||||
| At least 90 | 258 | 32.95 | 271 | 34.61 | 0.49 | ||||
| BMI | 591 | 75.48 | 37.26 | 8.01 | 612 | 78.16 | 37.52 | 7.52 | 0.56 |
| 0-20 | 17 | 2.17 | 16 | 2.04 | 0.86 | ||||
| 20-30 | 152 | 19.41 | 164 | 20.95 | 0.45 | ||||
| 30-40 | 370 | 47.25 | 397 | 50.7 | 0.17 | ||||
| ≥40 | 294 | 37.55 | 305 | 38.95 | 0.57 | ||||
| HbA1c | 548 | 69.99 | 7.44 | 1.75 | 540 | 68.97 | 7.31 | 1.73 | 0.24 |
| 0%-5.6% | 45 | 5.75 | 61 | 7.79 | 0.11 | ||||
| 5.6%-6.5% | 221 | 28.23 | 241 | 30.78 | 0.27 | ||||
| 6.5%-7.5% | 291 | 37.17 | 301 | 38.44 | 0.6 | ||||
| 7.5%-8.5% | 262 | 33.46 | 252 | 32.18 | 0.59 | ||||
| ≥8.5% | 274 | 34.99 | 277 | 35.38 | 0.87 | ||||
Discussion
We used a retrospective database review to evaluate the impact of GLP-1 agonists on rates of infection and nonunion after tibiotalar fusion, subtalar fusion, and triple arthrodesis. Our data showed an increase in rates of union associated with those receiving GLP-1 agonists. Our data demonstrated similar rates of infection and fusion as Cardoso and Veljkovic's.2 Similarly, Wong et al17 reported nonunion and infection rates of 16% and 6%, respectively. A 2021 systematic literature review by Oshba et al12 reported similar fusion rates. Overall, our patient demographics indicate a representative sample of orthopaedic patients and their comorbidities, suggesting good generalizability to many practice environments (Table 4).
Orthopaedic surgeons, particularly those operating about the foot and ankle, are well aware of the impact diabetes and glycemic control can have on postsurgical outcomes. Previous studies have demonstrated increased complication rate and infection rate after hindfoot fusion in patients with poorly controlled diabetes.9 Similarly, previous work has demonstrated higher rates of complications with ankle fracture management in uncontrolled diabetics as compared to controlled diabetics.7 GLP-1 agonists have previously been shown to reduce perioperative glucose and insulin administration without the risk for hypoglycemia.6 Perhaps less well known are the immunologic and anti-inflammatory effects of GLP-1 agonists,1 which may raise concern for infectious risk. Concurrently, there is a growing body of evidence to suggest that GLP-1 agonists impact bone metabolism. Nuche-Berenguer et al demonstrated increases in bone-anabolic agents such as osteoprotegerin and RANKL, in addition to decreased trabecular anisotropy.11 Prior work demonstrates that GLP-1 agonist therapy promotes bone formation, downregulates bone resorption, and alters the balance between resorption and formation during remodeling.19 On a cellular level, an increase in osteoblasts and osteoclasts, but also decreased osteoclast activity, has been shown in mice receiving chronic GLP-1 therapy.13 These results were re-created more recently by Cheng et al,3 who found GLP-1 agonist therapy attenuated osteoporosis by preventing deterioration of trabecular microarchitecture and enhancing bone strength in a diabetic mouse model.
A causative relationship cannot be established based on the outcomes of this study; however, our findings may have a mechanistic underpinning. The aforementioned decrease in osteoclastic activity19 may leave additional bone at the fusion site. This, combined with enhanced glucose control6 and upregulated osteoblasts may favor bony fusion, and account for the increased rate of fusion documented in our study. This study found no difference in rates of infection despite the known benefit of GLP-1 agonists on perioperative glucose control. Countervailing phenomena associated with GLP-1 agonists may play a role here - improved glucose control may reduce infectious risk, but other effects of GLP-1 agonists, namely, a previously documented antiinflammatory and possibly immunomodulatory effect,1 may offset it. Additional research is needed to parse the exact effect these medications make on the immune system and operative infectious risk independent of their effects on glucose control.
This is a retrospective database study and therefore limited by the accuracy of inputted coding data. Notably, tibiotalar fusions did not significantly differ between GLP-1–treated and GLP-1-naïve patients. This may be a result of cross-coding arthroscopic vs open procedures leading to a higher variance in outcomes. The relative popularity of the arthroscopic approach to tibiotalar fusion may have made this procedure particularly vulnerable to confounding. Another limitation of this study is the inability to assess individual patients imaging or functional status for indicators of fusion quality, such as subsequent refracture through the fusion site. Further limitation is introduced by the spectrum of diagnostic parameters that spur providers to enter a database-discoverable pseudarthrosis code—some may rely on purely clinical factors to assess fusion, while others may prefer evaluation via radiography or CT scan. These limitations are of particular concern for patients taking GLP-1 agonists given the possible attenuation of bone remodeling at the fusion cite via downregulated osteoclast activity. Another limitation is conflicting indications for GLP-1 usage. The data collection period for this study straddles the 2015 FDA approval for a weight loss indication, before this, GLP-1 agonists were only indicated for diabetic control. Different dosages of GLp-1 agonists are used for different indications, and may confound the results. Similarly, duration of GLP-1 therapy may confound results. In this study, we included patients who had been prescribed GLP1 therapy between 1 week and 1 year of surgery. Although GLP-1 medications have been shown to impact blood glucose in days to a week,15 it is possible that effects on bony metabolism take longer to manifest. The role of better glucose control and weight control based on duration of exposure to GLP-1 agonists may also confound outcomes and pose limitations to our findings.
Conclusion
In this propensity-matched database study we found that patients taking GLP-1 agonists were associated with increased rates of fusion after undergoing subtalar, and triple arthrodesis. Analysis of combined procedures similarly showed an increased rate of fusion in GLP-1 taking patients. No differences in rate of infection were found for any of the procedure types. Additional prospective trial research is needed to fully elucidate the potential impact of GLP-1 agonists on bony healing and postoperative outcomes.