Corrigendum to "RPN (Radius, Position of tumour, iNvasion of renal sinus) Classification and Nephrometry Scoring System: An Internationally Developed Clinical Classification To Describe the Surgical Difficulty for Renal Masses for Which Robotic Partial Nephrectomy Is Planned" [Eur. Urol. Open Sci. 54 (2023) 33-42].

[This corrects the article DOI: 10.1016/j.euros.2023.05.007.].

RPN (Radius, Position of tumour, iNvasion of renal sinus) Classification and Nephrometry Scoring System: An Internationally Developed Clinical Classification To Describe the Surgical Difficulty for Renal Masses for Which Robotic Partial Nephrectomy Is Planned.

Background: The surgical difficulty of partial nephrectomy (PN) varies depending on the operative approach. Existing nephrometry classifications for assessment of surgical difficulty are not specific to the robotic approach. Objective: To develop an international robotic-specific classification of renal masses for preoperative assessment of surgical difficulty of robotic PN. Design setting and participants: The RPN classification (Radius, Position of tumour, iNvasion of renal sinus) considers three parameters: tumour size, tumour position, and invasion of the renal sinus. In an international survey, 45 experienced robotic surgeons independently reviewed de-identified computed tomography images of 144 patients with renal tumours to assess surgical difficulty of robot-assisted PN using a 10-point Likert scale. A separate data set of 248 patients was used for external validation. Outcome measurements and statistical analysis: Multiple linear regression was conducted and a risk score was developed after rounding the regression coefficients. The RPN classification was correlated with the surgical difficulty score derived from the international survey. External validation was performed using a retrospective cohort of 248 patients. RPN classification was also compared with the RENAL (Radius; Exophytic/endophytic; Nearness; Anterior/posterior; Location), PADUA (Preoperative Aspects and Dimensions Used for Anatomic), and SPARE (Simplified PADUA REnal) scoring systems. Results and limitation: The median tumour size was 38 mm (interquartile range 27-49). The majority (81%) of renal tumours were peripheral, followed by hilar (12%) and central (7.6%) locations. Noninvasive and semi-invasive tumours accounted for 37% each, and 26% of the tumours were invasive. The mean surgical difficulty score was 5.2 (standard deviation 1.9). Linear regression analysis indicated that the RPN classification correlated very well with the surgical difficulty score (R2 = 0.80). The R2 values for the other scoring systems were: 0.66 for RENAL, 0.75 for PADUA, and 0.70 for SPARE. In an external validation cohort, the performance of all four classification systems in predicting perioperative outcomes was similar, with low R2 values. Conclusions: The proposed RPN classification is the first nephrometry system to assess the surgical difficulty of renal masses for which robot-assisted PN is planned, and is a useful tool to assist in surgical planning, training and data reporting. Patient summary: We describe a simple classification system to help urologists in preoperative assessment of the difficulty of robotic surgery for partial kidney removal for kidney tumours.

Maternal pre-pregnancy obesity and gestational weight gain influence neonatal neurobehaviour.

Maternal weight before and during pregnancy is associated with offspring neurobehaviour in childhood. We investigated maternal weight prior to and during pregnancy in relation to neonatal neurobehaviour. We hypothesized that maternal obesity and excessive gestational weight gain would be associated with poor neonatal attention and affective functioning. Participants (n = 261) were recruited, weighed and interviewed during their third trimester of pregnancy. Pre-pregnancy weight was self-reported and validated for 210 participants, with robust agreement with medical chart review (r = 0.99). Neurobehaviour was measured with the NICU Network Neurobehavioural Scale (NNNS) administered on Days 2 and 32 postpartum. Maternal exclusion criteria included severe or persistent physical or mental health conditions (e.g. chronic disease or diagnoses of Bipolar Disorder or Psychotic Spectrum Disorders), excessive substance use, and social service/foster care involvement or difficulty understanding English. Infants were from singleton, full-term (37-42 weeks gestation) births with no major medical concerns. Outcome variables were summary scores on the NNNS (n = 75-86). For women obese prior to pregnancy, those gaining in excess of Institute of Medicine guidelines had infants with poorer regulation, lower arousal and higher lethargy. There were no main effects of maternal pre-pregnancy body mass index on neurobehaviour. Women gaining above Institute of Medicine recommendations had neonates with better quality of movement. Additional studies to replicate and extend results past the neonatal period are needed. Results could support underlying mechanisms explaining associations between maternal perinatal weight and offspring outcomes. These mechanisms may inform future prevention/intervention strategies. © 2016 Blackwell Publishing Ltd.