Thanigaimani, Shivshankar, Phie, James, Quigley, Frank, Bourke, Michael, Bourke, Bernie, Velu, Ramesh, Jenkins, Jason, and Golledge, Jonathan (2022) Immunosuppressive drugs for nontransplant comorbidities are not associated with abdominal aortic aneurysm growth. JVS: Vascular Science, 3. pp. 306-313.

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Abstract

Background: In the present study, we examined the association of immunosuppressant drug prescriptions with the growth of small abdominal aortic aneurysms (AAAs).

Methods: Participants with an AAA measuring between 30 and 50 mm were recruited from four Australian centers. AAA growth was monitored by ultrasound. The immunosuppressant drugs included conventional disease-modifying antirheumatic drugs (eg, methotrexate, sulfasalazine, leflunomide), steroids, hydroxychloroquine, other immunosuppressant drugs (eg, cyclosporine, azacitidine), or a combination of these drugs. Linear mixed effects modeling was performed to examine the independent association of an immunosuppressant prescription with AAA growth. A subanalysis examined the association of steroids with AAA growth.

Results: Of the 621 patients, 34 (5.3%) had been prescribed at least one (n = 26) or more (n = 8) immunosuppressant drug and had been followed up for a median period of 2.1 years (interquartile range, 1.1-3.5 years), with a median of three ultrasound scans (interquartile range, two to five ultrasound scans). No significant difference was found in AAA growth when stratified by a prescription of immunosuppressant drugs on either unadjusted (mean difference, 0.2 mm/y; 95% confidence interval [CI], −0.4 to 0.7; P =.589) or risk factor-adjusted (mean difference, 0.2 mm/y; 95% CI, −0.3 to 0.7; P =.369) analyses. The findings were similar for the unadjusted (mean difference, 0.0 mm/y; 95% CI, −0.7 to 0.7; P =.980) and risk factor-adjusted (mean difference, 0.1 mm/y; 95% CI, −0.6 to 0.7; P =.886) subanalyses focused on steroid use.

Conclusions: The results from this study suggest that AAA growth is not affected by immunosuppressant drug prescription. Studies with larger sample sizes are needed before reliable conclusions can be drawn.

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