What this is
- This research compares the effects of glucagon-like peptide-1 (GLP-1) receptor analogs and dipeptidyl peptidase-4 inhibitors (DPP4i) on thromboembolic events in rheumatoid arthritis (RA) patients with type 2 diabetes mellitus (T2DM).
- Using a large retrospective cohort from the TriNetX database, it evaluates thrombotic risks and all-cause mortality associated with each treatment over a 5-year period.
- The findings suggest GLP-1 analogs may lower thromboembolic risks and mortality compared to DPP4i.
Essence
- GLP-1 analogs are associated with a 24% lower risk of thromboembolic events and reduced all-cause mortality compared to DPP4i in RA patients with T2DM.
Key takeaways
- GLP-1 analog users showed a 24% lower risk of all thrombotic events (HR 0.76) compared to DPP4i users. This includes significant reductions in individual events such as myocardial infarction and deep vein thrombosis.
- Patients receiving GLP-1 analogs had lower all-cause mortality (HR 0.56) compared to those on DPP4i, indicating potential benefits in managing RA patients with diabetes.
- The study supports the hypothesis that GLP-1 analogs may provide dual benefits in reducing inflammation and thrombotic risks in RA patients.
Caveats
- The retrospective design may introduce biases, as diagnoses relied on ICD-10 codes, risking misclassification. Unmeasured confounders could also affect results despite propensity score matching.
- The GLP-1 analog group had a higher BMI than the DPP4i group, which may influence thrombotic risk and complicate direct comparisons.
- Limitations in the TriNetX database restricted access to detailed RA-specific information, such as disease duration and activity, which could impact the findings.
AI simplified
Introduction
Glucagon-like peptide-1 (GLP-1) analogs, widely used in type 2 diabetes mellitus (T2DM), have shown reduced risks of cardiovascular events, stroke, thrombotic events and all-cause mortality in populations with diabetes and obesity in previous studies [1, 2]. In contrast, DPP4i have not shown cardioprotective benefits, while they are effective in control of T2DM [1]. It is thought that this is likely via anti-inflammatory activity [1], and by attenuating platelet aggregation [2].
Rheumatoid arthritis (RA) is associated with higher risk of cardiovascular events [3] and thromboembolic events [4]. Whether the same benefit is achievable in persons with RA has been less clear. A recent population-based cohort study showed GLP-1 analog use reduced risk of stroke, major adverse cardiovascular events (MACE), and all-cause mortality [5]. Notably, in the RA subgroup, which comprised 38% of the total study population, GLP-1 analog use was also associated with a significant reduction in MACE and all-cause mortality. However, the impact on thromboembolic events, particularly deep vein thrombosis (DVT) and pulmonary embolism (PE), remains unclear. Here we evaluated a real-world cohort of RA and T2DM, focusing on arterial and venous thrombosis outcomes.
Material and methods
Study design and participants
In this study, we used data from TriNetX network. TriNetX is a network that contains de-identified data including demographics, diagnosis, medications, and laboratory results from more than 70 participating healthcare organizations (HCOs) across the world. This database is under strict Health Insurance Portability and Accountability Act (HIPAA) policy. This study was exempt from an institutional review board (IRB) or ethics committee, as it did not involve human subjects or identifiable private information.
We enrolled adult patients (aged ā„ 18) carrying the diagnosis of RA between January 1, 2006, and December 1, 2024, with co-existing T2DM who received GLP-1 analogs or DPP4i after the diagnosis of RA and T2DM. Diagnoses were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes in TriNetX (Supplementary Table ). The index event was defined as the initiation of GLP-1 analogs or DPP4i following the diagnosis of RA. 1
The GLP-1 analog cohort included patients who received GLP-1 analogs after the diagnosis of RA and T2DM, and patients who received DPP4i were excluded from this group. Similarly, the DPP4i cohort included patients who received DPP4i after the diagnosis of RA and T2DM, and patients who received GLP-1 analogs were excluded from this group. In both cohorts, patients who had previous cerebral infarction, MI, DVT, or PE prior to the diagnosis of RA were also excluded.
Both cohorts were followed over 5 years for all thrombotic events including stroke, MI, DVT and PE, individual thrombotic events, arterial thrombotic events including stroke and MI, and venous thrombotic events including DVT and PE.
Outcome definition
The primary outcome was defined as patients developing thromboembolic events including arterial thrombosis, cerebral infarction, MI, and venous thrombosis including DVT and PE. Secondary outcomes included patients developing cerebral infarction, MI, DVT, PE, arterial thrombosis which was defined as the combination of cerebral infarction and MI, venous thrombosis which was defined as the combination of DVT and PE, and all-cause mortality.
Statistical analysis
Propensity score matching (PSM) was used to balance potential confounding factors in a 1:1 ratio. Variables including age, age at index event (GLP-1 analogs vs. DPP4i start), gender, race, body max index (BMI), hemoglobin A1c (HbA1c), tobacco use, use of other diabetic medications, cardiovascular medications, anticoagulation and Disease-Modifying Antirheumatic Drugs (DMARDs) (Supplementary Table ). Standardized mean differences (SMD) below 0.1 indicates that the variable is distributed in balance between the two cohorts. All the data were obtained and analyzed using the TriNetX platform. We used KaplanāMeier analysis and log-rank test to compare outcomes in two groups and cox proportional hazards analysis to evaluate the association between GLP-1 analogs use and the outcomes of interest. Two-tailed p-values below 0.05 were considered statistically significant. 2
Results
| Characteristic Name | GLP-1 analog | DPP4i | -valueP | Standardized mean difference (SMD) |
|---|---|---|---|---|
| (=8,697)n | (=8,697)n | |||
| Basic demographics | ||||
| Age, mean, years | 69.7 +/- 9.8 | 69.9 +/- 11.1 | 0.354 | 0.014 |
| Age at index, mean, years | 64.8+/ā10.2 | 65.0+/ā11.8 | 0.314 | 0.015 |
| White | 5,203 (59.8*) | 5,119 (58.9) | 0.195 | 0.02 |
| Black or African American | 1,553 (17.9) | 1,631 (18.8) | 0.126 | 0.023 |
| Hispanic or Latino | 970 (11.2) | 967 (11.1) | 0.942 | 0.001 |
| Asian | 404 (4.6) | 398 (4.6) | 0.828 | 0.003 |
| Female | 6,099 (70.1) | 6,081 (69.9) | 0.766 | 0.005 |
| Tobacco use | 431 (5.0) | 441 (5.1) | 0.728 | 0.005 |
| BMI, mean, kg/m2 | 35.1 +/- 8.0 | 32.0 +/- 7.8 | <0.001 | 0.389 |
| Underlying comorbidities | ||||
| Hypertensive diseases | 6,591 (75.8) | 6,620 (76.1) | 0.607 | 0.008 |
| Atrial fibrillation and flutter | 975 (11.2) | 975 (11.2) | 1 | <0.001 |
| Heart failure | 1,400 (16.1) | 1,429 (16.4) | 0.551 | 0.009 |
| Disorders of lipoprotein metabolism and other lipidemias | 5,895 (67.8) | 5,897 (67.8) | 0.974 | <0.001 |
| Overweight, obesity and other hyperalimentation | 3,558 (40.9) | 3,617 (41.6) | 0.363 | 0.014 |
| Chronic kidney disease (CKD) | 1,999 (23.0) | 2,037 (23.4) | 0.495 | 0.01 |
| Pertinent lab data | ||||
| Hemoglobin A1c, mean | 7.6 +/- 1.9 | 7.6 +/- 1.8 | 0.72 | 0.007 |
| Use of diabetes medications | ||||
| Metformin | 4,747 (54.6) | 4,717 (54.2) | 0.648 | 0.007 |
| Insulin | 4,028 (46.3) | 4,104 (47.2) | 0.248 | 0.018 |
| Glipizide | 1,330 (15.3) | 1,308 (15.0) | 0.642 | 0.007 |
| Glimepiride | 877 (10.1) | 870 (10.0) | 0.86 | 0.003 |
| Glyburide | 373 (4.3) | 376 (4.3) | 0.911 | 0.002 |
| Empagliflozin | 678 (7.8) | 674 (7.7) | 0.91 | 0.002 |
| Dapagliflozin | 357 (4.1) | 350 (4.0) | 0.788 | 0.004 |
| Canagliflozin | 190 (2.2) | 192 (2.2) | 0.918 | 0.002 |
| Repaglinide | 109 (1.3) | 102 (1.2) | 0.628 | 0.007 |
| Pioglitazone | 555 (6.4) | 556 (6.4) | 0.975 | <0.001 |
| Rosiglitazone | 58 (0.7) | 57 (0.7) | 0.925 | 0.001 |
| Use of cardiovascular medications | ||||
| Aspirin | 3,370 (38.7) | 3,418 (39.3) | 0.456 | 0.011 |
| Clopidogrel | 776 (8.9) | 770 (8.9) | 0.873 | 0.002 |
| Atorvastatin | 3,372 (38.8) | 3,438 (39.5) | 0.305 | 0.016 |
| Rosuvastatin | 1,214 (14.0) | 1,251 (14.4) | 0.421 | 0.012 |
| Pravastatin | 902 (10.4) | 921 (10.6) | 0.638 | 0.007 |
| Simvastatin | 1,328 (15.3) | 1,338 (15.4) | 0.833 | 0.003 |
| Angiotensin-converting enzyme inhibitors (ACEI) | 3,224 (37.1) | 3,206 (36.9) | 0.777 | 0.004 |
| Angiotensin II receptor blockers (ARB) | 2,747 (31.6) | 2,769 (31.8) | 0.72 | 0.005 |
| Calcium Channel Blockers (CCB) | 3,175 (36.5) | 3,260 (37.5) | 0.182 | 0.02 |
| Use ofimmunomodulator/immunosuppressant | ||||
| Hydroxychloroquine | 1,490 (17.1) | 1,506 (17.3) | 0.748 | 0.005 |
| Azathioprine | 213 (2.4) | 212 (2.4) | 0.961 | 0.001 |
| Mycophenolate mofetil | 207 (2.4) | 211 (2.4) | 0.843 | 0.003 |
| Mycophenolic acid | 75 (0.9) | 76 (0.9) | 0.935 | 0.001 |
| Methotrexate | 1,711 (19.7) | 1,708 (19.6) | 0.954 | 0.001 |
| Infliximab | 173 (2.0) | 157 (1.8) | 0.374 | 0.013 |
| Leflunomide | 568 (6.5) | 544 (6.3) | 0.457 | 0.011 |
| Adalimumab | 502 (5.8) | 480 (5.5) | 0.47 | 0.011 |
| Etanercept | 394 (4.5) | 385 (4.4) | 0.741 | 0.005 |
| Abatacept | 191 (2.2) | 190 (2.2) | 0.959 | 0.001 |
| Tocilizumab | 112 (1.3) | 107 (1.2) | 0.734 | 0.005 |
| Tofacitinib | 193 (2.2) | 172 (2.0) | 0.267 | 0.017 |
| Upadacitinib | 43 (0.5) | 34 (0.4) | 0.304 | 0.016 |
| Certolizumab | 0 | 0 | N/A | |
| Golimumab | 62 (0.7) | 69 (0.8) | 0.539 | 0.009 |
| Sulfasalazine | 585 (6.7) | 538 (6.2) | 0.147 | 0.022 |
| Rituximab | 136 (1.6) | 134 (1.5) | 0.902 | 0.002 |
| Prednisone | 3.476 (40.0) | 3,489 (40.1) | 0.841 | 0.003 |
| Methylprednisolone | 2,869 (33.0) | 2,891 (33.2) | 0.723 | 0.005 |
| Use of anticoagulation | ||||
| Heparin | 2,078 (23.9) | 2,130 (24.5) | 0.357 | 0.014 |
| Enoxaparin | 1,686 (19.4) | 1,730 (19.9) | 0.401 | 0.013 |
| Warfarin | 438 (5.0) | 419 (4.8) | 0.506 | 0.01 |
| Apixaban | 533 (6.1) | 528 (6.1) | 0.874 | 0.002 |
| Rivaroxaban | 297 (3.4) | 309 (3.6) | 0.62 | 0.008 |
Primary outcome

KaplanāMeier survival curve of thrombosis-free probability over 5 years
| Outcomes | GLP-1 analogs | DPP4i | Hazard ratio (95% CI) | -value (Log-rank)P | ||
|---|---|---|---|---|---|---|
| At risk patients | Cases | At risk patients | Cases | |||
| Primary outcome | ||||||
| All thromboembolic events | 8,697 | 958 | 8,697 | 1,165 | 0.76 (0.70, 0.83) | < 0.0001 |
| Secondary outcomes | ||||||
| Cerebral infarction | 8,697 | 389 | 8,697 | 478 | 0.76 (0.67, 0.87) | < 0.0001 |
| Myocardial infarction | 8,697 | 399 | 8,697 | 516 | 0.72 (0.63, 0.82) | < 0.0001 |
| Deep vein thrombosis | 8,697 | 147 | 8,697 | 196 | 0.70 (0.57, 0.87) | 0.001 |
| Pulmonary embolism | 8,697 | 192 | 8,697 | 201 | 0.90 (0.74, 1.09) | 0.282 |
| All arterial thrombosis | 8,697 | 726 | 8,697 | 911 | 0.74 (0.67, 0.81) | < 0.0001 |
| All venous thrombosis | 8,697 | 302 | 8,697 | 354 | 0.80 (0.68, 0.93) | 0.004 |
| All-cause mortality | 8,697 | 606 | 8,697 | 1,011 | 0.56 (0.50, 0.62) | < 0.0001 |
Secondary outcomes
Over the 5-year follow up, the GLP-1 analog cohorts developed less events compared with DPP4i cohort: cerebral infarction (389 vs. 478, HR 0.76 [95% CI: 0.67, 0.87]; p < 0.0001), MI (399 vs. 516, HR 0.72 [95% CI: 0.63, 0.82]; p < 0.0001), DVT (147 vs. 169, HR 0.70 [95% CI: 0.57, 0.87]; p = 0.001), PE (192 vs. 201 HR 0.90 [95% CI: 0.74, 1.09]; p = 0.282). GLP-1 analogs were associated with lower risk of all arterial thrombosis (HR, 0.74, [95% CI: 0.67, 0.81]; p < 0.0001) and venous thrombosis (HR, 0.80 [95% CI: 0.68, 0.93]; p = 0.004), as well as an overall decreased all-cause mortality (HR 0.56 [95% CI: 0.50, 0.62]; p < 0.0001) (Table 2). Although the reduction in PE was not statistically significant, DVT and overall venous thrombosis were significantly reduced, with PE showing a trend toward lower risk.
Discussion
RA is one of the most prevalent chronic inflammatory autoimmune diseases with joints being predominately involved. It carries increased risk for cardiovascular disease [3], as well as venous thrombotic events [4]. Though the exact etiology of RA associated thrombosis is not completely clear, systemic inflammation leading to endothelial dysfunction and hypercoagulation are thought to play a role [6]. In RA, early endothelial dysfunction is driven by inflammatory cytokines including tumor necrosis factor-α (TNF-α), interleukin (IL)ā1, and is reflected by increased C-reactive protein (CRP). This leads to increased expression of adhesion molecules and enhanced leukocyte and platelet adhesion to the endothelium, as well as increased permeability, and plasminogen activator inhibitor-1 (PAI-1), predisposing to thrombosis and disease progression [7]. Furthermore, RA can upregulate a hypercoagulability state by increasing inflammatory markers like fibrinogen, D-dimer, cytokines (IL-6, IL-8, TNF), and CRP, which drive coagulation at both extravascular and intravascular sites [6]. Activated platelets and microparticles (MP), influenced by oxidative stress and autoimmunity, can also enhance thrombin generation and platelet activation [8].
The cardiovascular protective and anti-thrombotic effects of GLP-1 analogs can be attributed to multiple mechanisms. Research has shown that GLP-1 analogs reduce inflammation through various pathways, including decreasing the production of reactive oxygen species [9], and lowering levels of inflammatory cytokines such as TNF-α, IL-1β, and IL-6 in mononuclear cells [10]. Additionally, they inhibit nuclear factor (NF)-κB binding in mononuclear blood cells, which may contribute to their anti-atherogenic effects [11]. GLP-1 analogs also show efficacy in reducing Thromboxane A2 (TXA2), a pro-inflammatory mediator involved in platelet activation [2]. Moreover, as obesity is linked to chronic inflammation originating from adipose tissue [12] and GLP-1 analogs are effective in promoting weight loss [13] thus reduce inflammation. DPP4i, which also act on incretin-based pathways like GLP-1 analogs, have not been shown to provide significant cardiovascular protection or anti-thrombotic effects [1]. While they share a similar pathway and demonstrate some anti-inflammatory properties [14], they lack evidence of effects on inhibiting endothelial function [15] and weight loss. Further research is needed to determine whether the anti-inflammatory effects of GLP-1 analogs are more pronounced compared to DPP4i, though the identified effects on TNF, IL1B and IL6 do provide overlap with those pathways engaged in RA, and provide an area of focus for future studies.
While a recent meta-analysis by Liu et al. [16] reported that long-term use of GLP-1 analogs was associated with increased risk of DVT in general population with T2DM or other metabolic syndromes, contrasting with our findings, our study focused on a distinct population with RA who carry chronic systemic inflammation, and have unique pathophysiological mechanisms including endothelial dysfunction and upregulated inflammatory cytokines which are known to increase thrombotic risk. In this context, the anti-inflammatory effects of GLP-1 analogs may confer protective benefits in RA populations and reduce thrombotic risk.
This study has several limitations. First, as a retrospective analysis using the TriNetX database, patient identification relied on ICD-10 codes rather than classification criteria, introducing risks of misdiagnosis and overdiagnosis. Second, despite propensity score matching, unmeasured confounders, such as duration and dosage of glucocorticoid use, the length of tobacco use, family history, and medication compliance may remain. Third, even after matching, the BMI in the GLP-1 analog group was significantly higher than in the DPP4i group, likely because patients with higher BMI are more inclined to use GLP-1 analogs. Nonetheless, the GLP-1 analog cohort exhibited a lower risk of thrombotic events despite starting with a higher BMI. Fourth, some factors could not be quantified using the TriNetX database, such as atherosclerotic cardiovascular disease (ASCVD) score. Fifth, due to the limitations of the database, we were unable to include RA-specific information such as disease duration, disease activity including the Disease Activity Score in 28 joints (DAS28) and the Clinical Disease Activity Index (CDAI), and seropositivity defined by RF and anti-cyclic citrullinated peptide antibodies (anti-CCP). Whether serologic status influences the reduced thrombotic risk associated with GLP-1 analog use warrants further investigation. Sixth, DMARD exposure was identified but RA duration was unavailable. Seventh, although TriNetX collects laboratory data such as CRP and erythrocyte sedimentation rate (ESR), we were unable to access individual patient charts to verify the etiologies of abnormal results and variability precluded their use in matching. Eighth, we did not compare the changes in HbA1c between the two groups because these levels were measured multiple and differing times throughout the study period, preventing standardized comparisons between groups.
Conclusion
This study demonstrated that GLP-1 analog use is associated with decreased risk of all types of thrombotic events including arterial as well as venous thrombosis, with decreased all-cause mortality compared with DPP4i. These findings offer valuable insights into the potential role of GLP-1 analogs in managing RA patients with co-existing diabetes and provide perspective on inflammatory pathways that may be particularly relevant in persons with RA and T2DM.
Supplementary Information
Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 22 KB)