To assess the safety of same-day discharge (SDD) following robotic-assisted endometrial cancer staging and identify risk factors for postoperative admission in a diverse population. A review of patients who underwent robotic-assisted endometrial cancer staging from April 1, 2017 to April 1, 2019 was performed. Patients were evaluated for SDD if they met the following criteria: tolerating oral intake, voiding spontaneously, ambulating, negative orthostatic vitals, postoperative hemoglobin ≤ 2 g/dL from baseline, pain controlled on oral medications, and desire to be discharged. Risk factors for admission were identified. One hundred eighty-seven patients were identified. SDD criteria were met in 158, of which 132 (83.5%) were discharged same day. Median length of stay was 4.5 h. Reasons for admission despite meeting criteria were late surgery time (n = 15), abnormal vitals (n = 9), and personal concerns (n = 2), with risk factors being age ≥ 68 years (OR 2.72; 95% CI, 1.13-6.59), start time 1400 or later (OR = 11.25; 95% CI, 4.35-29.10), ASA ≥ 4 (OR 23.82; 95% CI, 2.54-223.15), history of CVA/MI (OR 5.61; 95% CI, 1.07-29.52), and operative time ≥ 120 min (OR = 3.83; 95% CI 1.36-10.77). Of the SDD cohort, 2 patients (1.3%) presented to the emergency room within 30 days (postoperative day 5 and 23). SDD following robotic-assisted endometrial cancer staging is safe and feasible. Age ≥ 68 years, surgery start time after 1400, ASA ≥ 4, history of CVA/MI, and operative time ≥ 120 min appear predictive of inpatient admission despite meeting SDD criteria.
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http://dx.doi.org/10.1007/s11701-021-01253-0 | DOI Listing |
Cytojournal
November 2024
1st Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Papageorgiou Hospital, Thessaloniki, Greece.
Objective: The traditional histopathological analysis of endometrial cancer (EC) is the main risk group classification tool (low, intermediate, high-intermediate, and high) for the implementation of adjuvant treatment. The International Federation of Gynecology and Obstetrics staging system of EC has incorporated a new molecular classification that serves as a new triage tool for optimal treatment planning for these patients. Our study aimed to investigate the prognostic role of the new molecular classification in EC.
View Article and Find Full Text PDFCytojournal
November 2024
Department of Gynaecology and Obstetrics, The 960th Hospital of the Joint Logistics Support Force of the People`s Liberation Army of China, Jinan, China.
Objective: Endometrial cancer (EC) is a common gynecological malignancy, and its metastasis is one of the primary causes of treatment failure. Immunoglobulin superfamily member 1 (IGSF1), a membrane protein, has been associated with the aggressiveness and metastatic capability of various cancers. However, the role and mechanism of this protein in EC remains unclear.
View Article and Find Full Text PDFOncol Lett
March 2025
Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan.
Although ovarian endometrioid carcinoma (OEC), frequently associated with endometrial endometrioid carcinoma (EEC), is often diagnosed at an early stage, the prognosis remains poor. The development of new, effective drugs to target these cancers is highly desirable. The bromodomain and extra-terminal domain (BET) family proteins serve a role in regulating transcription by recognizing histone acetylation, which is implicated in several types of cancer.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
December 2024
Department of Reproductive Medicine, Dongying People's Hospital, 257091 Dongying, Shandong, China.
Background: Endometriosis patients exhibit a cancer-like glycolytic phenotype. The pyruvate kinase M2 (PKM2)/hypoxia-inducible factor-1 alpha (HIF-1α) axis plays important roles in glycolysis-related diseases, but its role in patients with endometrial polyps (EPs) combined with endometriosis has not been validated.
Methods: EP samples were collected from patients with and without endometriosis.
J Inflamm Res
December 2024
Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Background: Surgery is the best approach to treat endometrial cancer (EC); however, there is currently a deficiency in effective scoring systems for predicting EC recurrence post-surgical resection. This study aims to develop a clinicopathological-inflammatory parameters-based nomogram to accurately predict the postoperative recurrence-free survival (RFS) rate of EC patients.
Methods: A training set containing 1068 patients and an independent validation set consisting of 537 patients were employed in this retrospective study.
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