Objective: To (i) identify a novel risk stratification for patients complaining of haemospermia; and, (ii) compare its predictive ability to select high-risk patients by retrospectively validating the EAU guidelines classification. Methods: Data from 283 consecutive patients complaining of a single episode/recurrent haemospermia were retrospectively analyzed. Patients were stratified into low vs high-risk according to EAU guidelines, whose diagnostic performance was then validated. We identified a new risk stratification model based on clinical factors associated with (i) positive semen culture and (ii) prostate cancer (PCa) and bladder cancer (BC). Diagnostic accuracy of the two predictive models (EAU vs New) was assessed and decision curve analyses (DCA) tested their clinical benefit. Results: Overall, 259 (91.5%) were high-risk and 24 (8.5%) low risk according to the EAU guidelines. Recurrent haemospermia was reported by 134 (47.4%) patients. 126 (44.5%) had baseline CCI score ≥ 1. At MVA logistic regression analysis, history of recurrent genito - urinary tract infections was identified as a predictor for positive semen culture (OR: 3.39, 95% CI: 1.77 - 6.57, P =.002). Likewise, baseline CCI ≥ 1 was identified as a predictor for PCa and BC (OR: 1.55, 95% CI: 1.17 - 2.04, P =.009). Sensitivity, specificity, and AUC of the EAU guidelines were 13.3%, 89.2% and 51% respectively, whereas the new model performed substantially better: 98.9%, 58% and 78% respectively. Conclusion: The application of the EAU guidelines risk stratification does not ensure proper identification of high-risk patients complaining of haemospermia. We propose a novel, better performing and easily implementable risk stratification tool.

Haemospermia in the Real- Life Setting: A New High-Risk Stratification / Pozzi, Edoardo; Ventimiglia, Eugenio; Fallara, Giuseppe; Capogrosso, Paolo; Belladelli, Federico; Candela, Luigi; Raffo, Massimiliano; Costa, Antonio; Cignoli, Daniele; Corsini, Christian; Cazzaniga, Walter; Boeri, Luca; Matloob, Rayan; Capitanio, Umberto; Montorsi, Francesco; Salonia, Andrea. - In: UROLOGY. - ISSN 1527-9995. - 171:(2023), pp. 146-151. [10.1016/j.urology.2022.09.018]

Haemospermia in the Real- Life Setting: A New High-Risk Stratification

Pozzi, Edoardo
Primo
;
Ventimiglia, Eugenio
Secondo
;
Fallara, Giuseppe;Belladelli, Federico;Candela, Luigi;Raffo, Massimiliano;Costa, Antonio;Cignoli, Daniele;Corsini, Christian;Cazzaniga, Walter;Montorsi, Francesco
Penultimo
;
Salonia, Andrea
Ultimo
2023-01-01

Abstract

Objective: To (i) identify a novel risk stratification for patients complaining of haemospermia; and, (ii) compare its predictive ability to select high-risk patients by retrospectively validating the EAU guidelines classification. Methods: Data from 283 consecutive patients complaining of a single episode/recurrent haemospermia were retrospectively analyzed. Patients were stratified into low vs high-risk according to EAU guidelines, whose diagnostic performance was then validated. We identified a new risk stratification model based on clinical factors associated with (i) positive semen culture and (ii) prostate cancer (PCa) and bladder cancer (BC). Diagnostic accuracy of the two predictive models (EAU vs New) was assessed and decision curve analyses (DCA) tested their clinical benefit. Results: Overall, 259 (91.5%) were high-risk and 24 (8.5%) low risk according to the EAU guidelines. Recurrent haemospermia was reported by 134 (47.4%) patients. 126 (44.5%) had baseline CCI score ≥ 1. At MVA logistic regression analysis, history of recurrent genito - urinary tract infections was identified as a predictor for positive semen culture (OR: 3.39, 95% CI: 1.77 - 6.57, P =.002). Likewise, baseline CCI ≥ 1 was identified as a predictor for PCa and BC (OR: 1.55, 95% CI: 1.17 - 2.04, P =.009). Sensitivity, specificity, and AUC of the EAU guidelines were 13.3%, 89.2% and 51% respectively, whereas the new model performed substantially better: 98.9%, 58% and 78% respectively. Conclusion: The application of the EAU guidelines risk stratification does not ensure proper identification of high-risk patients complaining of haemospermia. We propose a novel, better performing and easily implementable risk stratification tool.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/136770
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