Gemma Mancebo

Prehabilitation in an ERAS program for endometrial cancer patients: impact on post-operative recovery

Enhanced recovery after surgery (ERAS) and prehabilitation programs are multidisciplinary care pathways that aim to reduce stress response and improve perioperative outcomes. However, literature is limited regarding the impact of ERAS and prehabilitation in gynecologic oncology surgery. The aim of this study was to assess the impact of implementing an ERAS and prehabilitation program on post-operative outcomes of endometrial cancer patients undergoing laparoscopic surgery. We evaluated consecutive patients undergoing laparoscopy for endometrial cancer that followed ERAS and the prehabilitation program at a single center. A pre-intervention cohort that followed the ERAS program alone was identified. The primary outcome was length of stay, and secondary outcomes were normal oral diet restart, post-operative complications and readmissions. A total of 128 patients were included: 60 patients in the ERAS group and 68 patients in the prehabilitation group. The prehabilitation group had a shorter length of hospital stay of 1 day (p<0.001) and earlier normal oral diet restart of 3.6 hours (p=0.005) in comparison with the ERAS group. The rate of post-operative complications (5% in the ERAS group and 7.4% in the prehabilitation group, p=0.58) and readmissions (1.7% in the ERAS group and 2.9% in the prehabilitation group, p=0.63) were similar between groups. The integration of ERAS and a prehabilitation program in endometrial cancer patients undergoing laparoscopy significantly reduced hospital stay and time to first oral diet as compared with ERAS alone, without increasing overall complications or the readmissions rate.

ENDORISK-2: A personalized Bayesian network for preoperative risk stratification in endometrial cancer, integrating molecular classification and preoperative myometrial invasion assessment

ENDORISK is a Bayesian network that can assist in preoperative risk estimation of lymph node metastasis (LNM) risk in endometrial cancer (EC) with consistent performance in external validations. To reflect state of the art care, ENDORISK was optimized by integrating molecular classification and preoperative assessment of myometrial invasion (MI). Variables for POLE, MSI, and preoperative assessment of MI, either by expert transvaginal ultrasound or pelvic magnetic resonance imaging (MRI), were added to develop ENDORISK-2. The p53 biomarker, part of the molecular classification, was already included in ENDORISK. External validation of ENDORISK-2 for LNM prediction was performed in two independent cohorts from: Brno (CZ), (n = 581) and Tübingen (DE), (n = 247). ENDORISK-2 yielded AUCs of 0·85 (95 % CI 0·80-0·90) (CZ) and 0·86 (95 % CI 0·77-0·96) (DE) for predicting LNM. In patients with low-grade histology, 83 % (CZ) and 89 % (DE) were estimated having less than 10 % risk of LNM, with false negative rates (FNR) of 4·3 % (CZ) and 2·2 % (DE). The previously defined set of minimally required variables, i.e.: preoperative tumor grade, three of the four immunohistochemical (IHC) markers, and one clinical marker, could be interchanged with the new variables, with comparable validation metrics, including AUC values of 0·79-0·87 for LNM prediction. Incorporation of molecular data and preoperative MI improved the flexibility of ENDORISK with comparable diagnostic accuracy for estimating LNM as when based on low-cost immunohistochemical biomarkers. In addition, the high diagnostic accuracy in patients with low-grade EC demonstrates how ENDORISK-2 could aid clinicians in identifying patients in whom surgical lymph node assessment may safely be omitted. These results underline its power for clinical use in both high and low resource countries.