Insufficient physical activity (PA) may be a shared risk factor for the development of both metabolic syndrome (MetS) and prostate cancer (PCa). To investigate this correlation and to develop a nomogram able to predict tumor diagnosis. Between 2016 and 2018, a consecutive series of men who underwent prostate biopsy at three institutions were prospectively enrolled. PA was self-assessed by patients through the Physical Activity Scale for the Elderly (PASE) questionnaire; MetS was assessed according to Adult Treatment Panel III criteria. A logistic regression analyses was used to identify predictors of PCa diagnosis and high-grade disease (defined as International Society of Uro-Pathology grade >2 tumors). A nomogram was then computed to estimate the risk of tumor diagnosis. A total of 291 patients were enrolled; 17.5% of them (n = 51) presented with MetS. PCa was diagnosed in 110 (38%) patients overall while 51 presented high-grade disease. At multivariable analysis, age (OR 1.04; 95%CI: 1.00-1.08; p = 0.048), prostate volume (PV) (OR 0.98; 95%CI: 0.79-0.99; p = 0.004), suspicious digital rectal examination (OR 2.35; 95%CI: 1.11-4.98; p = 0.02), total PSA value (OR 1.12; 95%CI: 1.05-1.2; p < 0.001), and PASE score (OR 0.99; 95%CI: 0.98-0.99; p = 0.01) were independent predictors of tumor diagnosis. The latter two also predicted high-grade PCa. MetS was not associated with PCa diagnosis and aggressiveness. The novel nomogram displayed fair discrimination for PCa diagnosis (AUC = 0.76), adequate calibration (p > 0.05) and provided a net benefit in the range of probabilities between 20% and 90%. reduced PA was associated with an increased risk of PCa diagnosis and high-grade disease. Our nomogram could improve the selection of patients scheduled for prostate biopsy at increased risk of PCa.

Physical Inactivity, Metabolic Syndrome and Prostate Cancer Diagnosis. Development of a Predicting Nomogram / De Nunzio, Cosimo; Brassetti, Aldo; Cancrini, Fabiana; Prata, Francesco; Cindolo, Luca; Sountoulides, Petros; Toutziaris, Chrysovalantis; Gacci, Mauro; Lombardo, Riccardo; Cicione, Antonio; Tema, Giorgia; Schips, Luigi; Simone, Giuseppe; Serni, Sergio; Tubaro, Andrea. - In: METABOLITES. - ISSN 2218-1989. - 13:1(2023), pp. 1-9. [10.3390/metabo13010111]

Physical Inactivity, Metabolic Syndrome and Prostate Cancer Diagnosis. Development of a Predicting Nomogram

De Nunzio, Cosimo;Brassetti, Aldo
;
Cancrini, Fabiana;Lombardo, Riccardo;Cicione, Antonio;Tema, Giorgia;Schips, Luigi;Tubaro, Andrea
2023

Abstract

Insufficient physical activity (PA) may be a shared risk factor for the development of both metabolic syndrome (MetS) and prostate cancer (PCa). To investigate this correlation and to develop a nomogram able to predict tumor diagnosis. Between 2016 and 2018, a consecutive series of men who underwent prostate biopsy at three institutions were prospectively enrolled. PA was self-assessed by patients through the Physical Activity Scale for the Elderly (PASE) questionnaire; MetS was assessed according to Adult Treatment Panel III criteria. A logistic regression analyses was used to identify predictors of PCa diagnosis and high-grade disease (defined as International Society of Uro-Pathology grade >2 tumors). A nomogram was then computed to estimate the risk of tumor diagnosis. A total of 291 patients were enrolled; 17.5% of them (n = 51) presented with MetS. PCa was diagnosed in 110 (38%) patients overall while 51 presented high-grade disease. At multivariable analysis, age (OR 1.04; 95%CI: 1.00-1.08; p = 0.048), prostate volume (PV) (OR 0.98; 95%CI: 0.79-0.99; p = 0.004), suspicious digital rectal examination (OR 2.35; 95%CI: 1.11-4.98; p = 0.02), total PSA value (OR 1.12; 95%CI: 1.05-1.2; p < 0.001), and PASE score (OR 0.99; 95%CI: 0.98-0.99; p = 0.01) were independent predictors of tumor diagnosis. The latter two also predicted high-grade PCa. MetS was not associated with PCa diagnosis and aggressiveness. The novel nomogram displayed fair discrimination for PCa diagnosis (AUC = 0.76), adequate calibration (p > 0.05) and provided a net benefit in the range of probabilities between 20% and 90%. reduced PA was associated with an increased risk of PCa diagnosis and high-grade disease. Our nomogram could improve the selection of patients scheduled for prostate biopsy at increased risk of PCa.
2023
high-grade tumor; metabolic syndrome; nomogram; physical activity; prostate cancer
01 Pubblicazione su rivista::01a Articolo in rivista
Physical Inactivity, Metabolic Syndrome and Prostate Cancer Diagnosis. Development of a Predicting Nomogram / De Nunzio, Cosimo; Brassetti, Aldo; Cancrini, Fabiana; Prata, Francesco; Cindolo, Luca; Sountoulides, Petros; Toutziaris, Chrysovalantis; Gacci, Mauro; Lombardo, Riccardo; Cicione, Antonio; Tema, Giorgia; Schips, Luigi; Simone, Giuseppe; Serni, Sergio; Tubaro, Andrea. - In: METABOLITES. - ISSN 2218-1989. - 13:1(2023), pp. 1-9. [10.3390/metabo13010111]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1669843
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