Factors Affecting Transperitoneal Robot-Assisted Laparoscopic Radical Prostatectomy.

Objectives: To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several steps of robot-assisted radical prostatectomy (RARP) and lymph node (LN) involvement. Methods: A total number of 225 consecutive patients were included in the study who underwent transperitoneal RARP by 1 surgeon. We defined the following parameters as dependent variables: duration of prostatectomy, duration of pelvic lymphadenectomy, incision to suture time, console time, number of dissected LNs and number of positive LNs for metastasis. We assessed the impact of the following covariates using univariate nonparametric and multivariate analysis: BMI, preoperative D'Amico risk classification, history of inguinal herniotomy, and previous abdominal operations. Results: We observed a statistically significant difference among our three BMI groups (<25, ≥25 and <30, and ≥30 kg/m2) regarding pelvic lymphadenectomy and LN metastasis. Moreover, among the three risk groups (low, intermediate, and high) duration of prostatectomy, pelvic lymphadenectomy, and LN metastasis were statistically different. Previous abdominal operations have been also demonstrated to significantly influence the pelvic lymphadenectomy. In addition, our multivariate model proved the impact of our covariates on pelvic lymphadenectomy. Conclusions: Our findings highlight the impact of BMI and preoperative risk on various steps of RARP. We revealed longer duration of pelvic lymphadenectomy and more nodal yield in patients with higher BMI and high-risk disease. Therefore, we suggest that BMI and risk classification according to D'Amico should be taken into account while a RARP is being planned.

Journal of laparoendoscopic & advanced surgical techniques. Part A. 2021 Dec 28 [Epub ahead of print]

Roozbeh Tanhaeivash, Marc-Oliver Grimm

Department of Urology, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.

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