Predictive factors of severe perioperative morbidity of radical hysterectomy with lymphadenectomy in early-stage cervical cancer: A French prospective multicentric cohort of 248 patients
2019
Abstract Objective The purpose of this study was to assess the postoperative morbidity after radical hysterectomy (RH) for early-stage cervical cancer and to determine risk factors of severe perioperative morbidity. Methods Data of two prospective trials on sentinel node biopsy for cervical cancer (SENTICOL I & II) were analysed. Patients having a radical hysterectomy were included between 2005 and 2012 from 25 French oncologic centers. Postoperative complications were prospectively recorded in a pre-specified analysis. Results 248 patients met the inclusion criteria. The median age was 44.5 years [25–85]. 88.7% of patients had a stage IB1 disease. There were 71.4% epidermoid carcinomas and 25% adenocarcinomas. 125 patients (50.4%) had a laparoscopic-assisted vaginal RH, 88 patients (35.5%) had a total laparoscopic RH, 26 patients (10.5%) had an open RH and 9 patients (3.6%) had a robotic-assisted RH. Sixteen patients (6.4%) had intraoperative complications. On a multivariate analysis, intraoperative complications were significantly associated with BMI >30 kg/m 2 . The urinary, lymphovascular and neurologic complications rates were respectively 34.3%, 20.6% and 19.8%. 31 patients (12.5%) had severe postoperative complications (Clavien-Dindo ≥ 3 or CTCAE ≥ 3). On multivariate analysis, severe postoperative complications were associated with parametrial involvement, preoperative brachytherapy and inclusion in low surgical skills center. Conclusions This study based on prospective data showed that RH has low severe postoperative complications. The main complications were urinary infections and lower limb lymphedema. Patients with early-stage cervical cancer should be referred to expert center to ensure best surgical outcomes.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
37
References
11
Citations
NaN
KQI