Background: Robot-assisted partial nephrectomy (RAPN) represents a widely accepted minimally invasive alternative to open and laparoscopic surgery for the treatment of clinically localized renal tumors.

Objective: To assess the feasibility of RAPN in a contemporary series of patients with highly complex tumors (PADUA score ≥10) treated at four high-volume robotic surgery institutions.

Design, Setting, And Participants: Data from a prospectively maintained multi-institutional database on patients subjected to RAPN between 2010 and 2017 were reviewed. For the scope of this analysis, only patients with highly complex renal tumors, defined as a PADUA score between 10 and 14, were included.

Surgical Procedure: RAPN was performed with the da Vinci Si or Xi surgical system (Intuitive Surgical, Sunnyvale, CA, USA) using novel technologies such as TilePro and near-infrared fluorescence imaging.

Measurements: Intraoperative, postoperative, surgical, and oncological outcomes were collected. Predictors of optimal surgical outcomes defined according to the Margin Ischemia and Complications binary system (absence of Clavien-Dindo >2 complications, warm ischemia time [WIT] <20min, and absence of positive surgical margins) were determined using logistic regression models (LRMs).

Results And Limitations: Overall, 255 patients with complex renal tumors were included. The mean operative time was 165min and mean WIT was 18.6min. Overall, WIT was longer than 20min in 86 (33.7%) individuals, while a Clavien-Dindo >2 complication and positive surgical margins were observed in 13 (5.1%) and four (out of 211 patients with malignant histotypes; 1.9%) individuals, respectively. Optimal surgical outcomes were achieved in 158 (62.0%) patients. At a median follow-up of 28mo, one (0.4%) local and two (0.8%) distant recurrences of the disease were observed. In multivariable LRMs, extremely complex tumors (PADUA score 12-13) were associated with an increased likelihood of not achieving optimal outcomes (odds ratio: 2.31; p=0.024). Besides tumor complexity, male gender was also associated with a two-fold higher risk of not achieving optimal surgical outcomes (p=0.029).

Conclusions: In experienced hands, RAPN can be considered as an effective treatment option even in cases of complex renal lesions. However, increasing tumor complexity may affect the surgical outcomes in this highly selected patient population.

Patient Summary: We reported our multicentric experience with robot-assisted partial nephrectomy (RAPN) in patients with complex renal tumors. We demonstrated that, in experienced hands, RAPN is a feasible and safe treatment option even in such patients. Novel technologies applied to RAPN may further extend the indications without compromising the outcomes.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.eururo.2019.03.006DOI Listing

Publication Analysis

Top Keywords

padua score
16
surgical outcomes
16
robot-assisted partial
12
partial nephrectomy
12
complex renal
12
optimal surgical
12
score ≥10
8
rapn
8
nephrectomy rapn
8
patients highly
8

Similar Publications

Childhood BMI trajectories and sociodemographic factors in an Italian pediatric population.

Sci Rep

January 2025

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco- Vascular Sciences and Public Health, University of Padua, Padua, Italy.

Childhood obesity is a growing global concern due to its long-term health consequences. Yet, more research relying on multiple time-point BMI measurements is warranted to gain further insight into obesity's temporal trends. We aimed to identify BMI trajectories in children aged 2-10 years and evaluate their association with sociodemographic factors.

View Article and Find Full Text PDF

Background: We investigated factors associated with post-transplant growth in pediatric kidney transplant (KTx) recipients with a focus on plasma bicarbonate (HCO3) and estimated the effect of alkali treatment on growth.

Methods: In this study of the CERTAIN Registry, data were collected up to 5 years post-transplant. Generalized Additive Mixed Models were applied to assess the association between post-transplant growth and covariates.

View Article and Find Full Text PDF

A machine learning prognostic mortality scoring system was developed to address challenges in patient selection for clinical trials within the Intensive Care Unit (ICU) environment. The algorithm incorporates Red blood cell Distribution Width (RDW) data and other demographic characteristics to predict ICU mortality alongside existing ICU mortality scoring systems like Simplified Acute Physiology Score (SAPS). The developed algorithm, defined as a Mixed-effects logistic Random Forest for binary data (MixRFb), integrates a Random Forest (RF) classification with a mixed-effects model for binary outcomes, accounting for repeated measurement data.

View Article and Find Full Text PDF

Development and validation of the infant nursing assessment scale: Results from exploratory factor analysis and Rasch modeling.

J Pediatr Nurs

January 2025

University of Padua, Laboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua, Italy.

Purpose: The primary challenge in infant care is developing a comprehensive, rapid, and reliable assessment tool that is minimally dependent on subjective evaluations and applicable in various inpatient settings. This study aims to develop and assess the structural validity of the Infant Nursing Assessment Scale (INA), enabling a comprehensive evaluation of hospitalized newborns and infants.

Design And Methods: A development and validation study based on cross-sectional design was undertaken.

View Article and Find Full Text PDF

Background & Aims: Venous thromboembolism (VTE) is a recognized complication of acutely ill patients, but its incidence and risk factors in those with cirrhosis are uncertain.

Methods: We retrospectively studied a consecutive cohort of cirrhosis patients non-electively admitted to our medical unit to determine the rates of symptomatic VTE during hospitalization. Firstly, we explored associations with baseline, clinical and laboratory characteristics using logistic regression.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!