The impact of Marfan syndrome and Ehlers-Danlos syndrome on the risk of penile fracture in patients between 18 and 45 years.

Abstract

Background: Despite knowledge of the pathophysiology and clinical complications of connective tissue diseases (CTD), little is known regarding their impact on men's sexual health disorders.

Aim: To investigate the prevalence of penile fracture (PF) in patients with Ehlers-Danlos Syndrome (EDS) and Marfan syndrome (MFS) in comparison with disease-free controls between 18 and 45 years of age.

Methods: A multicenter, international, electronic health record network (TriNetX) was queried to identify adult male patients (between 18 and 45 years) with or without EDS and MFS between 1993 and 2023 using ICD-10 codes. The prevalence of PF was compared between patients with and without the diseases of interest. Prevalence ratios (PR) were generated with 95% confidence intervals.

Outcome: Prevalence of PF in patients with EDS and MFS when compared to disease-free controls.

Results: The number of patients with EDS, MFS, and control groups was 8060, 8642, and 20 184 547, respectively, with a mean age of 27.8 ± 7.58, 28.6 ± 7.4, and 31.6 ± 8.04 years. Men with EDS had a higher prevalence of PF (PR 30.18, 95% CI [17.08-53.19]; P < 0.0001). Similarly, men with MFS had a higher prevalence of PF (PR 23.4, 95% CI [12.6-43.7]; P < 0.0001).

Clinical implications: This study demonstrates an association between CTD and men's sexual health disorders. It may be important to counsel such men about the risks of PF.

Strengths and limitations: This is the largest study to date to demonstrate an association between CTD and men's sexual health disorders. While the large sample sizes in this study contribute to the robustness of the findings, the study is limited by the use of a claims-based dataset, which does not provide further details about disease course and complications, and the use of a univariate analysis only.

Conclusions: Patients with EDS and MFS are possibly at an elevated risk for PF. Due to the limitations of the TriNetX database, the analysis was limited to a univariate one, thus limiting the ability to control for confounders and limiting the generalizability of these findings. Further prospective research is needed to corroborate these findings.