OBJECTIVE: To build a nomogram able to predict treatment success after collagenase Clostridium histolyticum (CCH) for Peyronie's disease (PD). MATERIALS AND METHODS: Between November 2016 and November 2017, we enrolled 135 patients with PD into a multicentre single-arm prospective study. All patients enrolled received CCH treatment. Success of therapy was defined as a decrease in penile curvature (PC) of ≥20° from baseline. Treatment satisfaction was assessed using a scale from 1 to 10, and high satisfaction was arbitrarily defined as a score of ≥8. Calcification level was classified as: absence of calcification; low perilesional calcification; and high calcification. RESULTS: The median (interquartile range [IQR]) patient age was 56.0 (45.0-65.0) years and the median (IQR) was PC was 30 (30.0-60.0)°. After the treatment protocol, we observed a significant median change in PC of -20.0° (P < 0.01). The median (IQR) PC improvement was 44 (28.0-67.0)%. Overall median (IQR) satisfaction score was 8.0 (7.0-9.0). Treatment efficacy was reported in a total of 77 patients (57.04%). When analysing factors associated with PC improvement after treatment, we found that baseline PC (odds ratio [OR] 1.14; P < 0.01), basal plaque (OR 64.27; P < 0.01), low calcification (OR 0.06; P < 0.01) and high calcification (OR 0.03; P < 0.01) were significant predictors of PC improvement. The c-index for the model was 0.93. CONCLUSIONS: Patients with longer PD duration, greater baseline PC and basal plaque location had a greater chance of treatment success. These results could be applied to clinical practice before external validation of our nomogram.
OBJECTIVE: To build a nomogram able to predict treatment success after collagenase Clostridium histolyticum (CCH) for Peyronie's disease (PD). MATERIALS AND METHODS: Between November 2016 and November 2017, we enrolled 135 patients with PD into a multicentre single-arm prospective study. All patients enrolled received CCH treatment. Success of therapy was defined as a decrease in penile curvature (PC) of ≥20° from baseline. Treatment satisfaction was assessed using a scale from 1 to 10, and high satisfaction was arbitrarily defined as a score of ≥8. Calcification level was classified as: absence of calcification; low perilesional calcification; and high calcification. RESULTS: The median (interquartile range [IQR]) patient age was 56.0 (45.0-65.0) years and the median (IQR) was PC was 30 (30.0-60.0)°. After the treatment protocol, we observed a significant median change in PC of -20.0° (P < 0.01). The median (IQR) PC improvement was 44 (28.0-67.0)%. Overall median (IQR) satisfaction score was 8.0 (7.0-9.0). Treatment efficacy was reported in a total of 77 patients (57.04%). When analysing factors associated with PC improvement after treatment, we found that baseline PC (odds ratio [OR] 1.14; P < 0.01), basal plaque (OR 64.27; P < 0.01), low calcification (OR 0.06; P < 0.01) and high calcification (OR 0.03; P < 0.01) were significant predictors of PC improvement. The c-index for the model was 0.93. CONCLUSIONS:Patients with longer PD duration, greater baseline PC and basal plaque location had a greater chance of treatment success. These results could be applied to clinical practice before external validation of our nomogram.
Authors: Fabrizio Di Maida; Gianmartin Cito; Luca Lambertini; Francesca Valastro; Girolamo Morelli; Andrea Mari; Marco Carini; Andrea Minervini; Andrea Cocci Journal: World J Mens Health Date: 2020-07-08 Impact factor: 5.400
Authors: Andrea Cocci; Fabrizio Di Maida; Giorgio Ivan Russo; Marina Di Mauro; Gianmartin Cito; Marco Falcone; Andrea Minervini; Giovanni Cacciamani; Riccardo Campi; Andrea Mari; Francesco Sessa; Nicola Mondaini Journal: World J Mens Health Date: 2019-05-29 Impact factor: 5.400
Authors: Andrea Cocci; David Ralph; Rados Djinovic; Georgios Hatzichristodoulou; Girolamo Morelli; Andrea Salonia; Paolo Capogrosso; Andrea Romano; Gianmartin Cito; Fabrizio Di Maida; Esaú Fernández-Pascual; Javier Romero-Otero; Paulo Egydio; Marco Falcone; Mirko Preto; Giovanni Chiriacò; Jack Beck; Maarten Albersen; Suks Minhas; Giovanni Cacciamani; Juan Ignacio Martinez Salamanca; Nicola Mondani; Andrea Minervini; Giorgio Ivan Russo Journal: Sci Rep Date: 2021-01-08 Impact factor: 4.379
Authors: Andrea Cocci; Fabrizio Di Maida; Gianmartin Cito; Pierangelo Verrienti; Nicola Laruccia; Riccardo Campi; Andrea Mari; Marina Di Mauro; Marco Falcone; Giovanni E Cacciamani; Giulio Garaffa; Andrea Minervini; Giorgio Ivan Russo Journal: World J Mens Health Date: 2020-01-20 Impact factor: 5.400