Ces Urol 2026, 30(2):77-83 | DOI: 10.48095/cccu2026012

Erectile dysfunction – a retrospective statistical analysis

Aneta Hujová¹, Marek Broul^1,2,3

¹ Fakulta zdravotnických studií UJEP v Ústí nad Labem

² Sexuologické oddělení, Krajská zdravotní, a.s. – Masarykova nemocnice v Ústí nad Labem, o.z.

³ Urologické oddělení, Krajská zdravotní, a.s. – Nemocnice Litoměřice, o.z.

Major statement: This study evaluates the prevalence and risk factors of erectile dysfunction in a retrospective male cohort, identifying age and body mass index as independent predictors. The findings highlight substantial underdiagnosis and emphasize the need for multidisciplinary prevention and management.

Aim: The aim of the study was to retrospectively analyze the occurrence of erectile dysfunction (ED), its coded dominant etiology, and selected associated factors, particularly age, body mass index, and the use of selected medication groups, in men examined at a single specialized sexology center in the Ústí nad Labem Region.

Material and Methods: This was a retrospective observational analysis of secondary data obtained from the hospital information system of the Department of Sexology, Masaryk Hospital in Ústí nad Labem. Men aged ≥ 18 years who were examined for ED at their first outpatient visit between January 1, 2021, and December 31, 2024, were included. The type of ED was derived from clinical documentation, where it had been established by a physician during the initial evaluations. Based on this previously coded dominant etiology, patients were classified into organic ED (N48.4) or psychogenic ED (F52.2) according to the revision of the International Classification of Diseases (ICD-10).

Results: A total of 2,901 men were analyzed, with a mean age 50.47 ± 12.79 years. Psychogenic ED was coded in 52.77% of patients and organic ED in 47.23%. Body mass index data were available for 93.83% of the cohort, when more than 80% of patients were overweight or obese. Selected medication groups were used by 27.13% of patients, most commonly antihypertensives. In multivariable logistic regression analysis, body mass index (OR 1.22; 95% CI 1.01-1.48; p = 0.045) and age (OR 1.01; 95% CI 1.00-1.01; p = 0.024) were significantly associated with ED category, whereas the use of the selected medications was not. However, the magnitude of these associations was relatively small.

Conclusion: This regional cohort of men with ED shows a high prevalence of overweight and obesity and significant differences in the distribution of ED type across age categories. Age and body mass index were independently associated with coded ED etiology, whereas the use of selected medication groups was not. The interpretation of differences between etiological groups is limited by the classification based on the initial clinical assessment. The findings support the need for systematic cardiometabolic screening in men with ED.

Keywords: body mass index – erectile dysfunction – obesity – age – cardiometabolic factors

Received: March 1, 2026; Revised: April 17, 2026; Accepted: May 11, 2026; Prepublished online: June 19, 2026; Published: June 22, 2026