scholarly journals Propofol-Based Total Intravenous Anesthesia is Associated with Better Survival than Desflurane Anesthesia in Epithelial Ovarian Cancer Surgery: A Retrospective Cohort Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei-Cheng Tseng ◽  
Meei-Shyuan Lee ◽  
Ying-Chih Lin ◽  
Hou-Chuan Lai ◽  
Mu-Hsien Yu ◽  
...  

Background: Previous studies have shown that anesthetic techniques can affect outcomes of cancer surgery. We investigated the association between anesthetic techniques and patient outcomes after elective epithelial ovarian cancer surgery.Methods: This was a retrospective cohort study of patients who received elective open surgery for epithelial ovarian cancer between January 2009 and December 2014. Patients were grouped according to the administration of propofol or desflurane anesthesia. Kaplan–Meier analysis was performed, and survival curves were constructed from the date of surgery to death. Univariate and multivariate Cox regression models were used to compare hazard ratios for death after propensity matching. Subgroup analyses were performed for age, body mass index, preoperative carbohydrate antigen-125 level, International Federation of Gynecology and Obstetrics staging, and operation and anesthesia time.Results: In total, 165 patients (76 deaths, 46.1%) who received desflurane anesthesia and 119 (30 deaths, 25.2%) who received propofol anesthesia were eligible for analysis. After propensity matching, 104 patients were included in each group. In the matched analysis, patients who received propofol anesthesia had better survival with a hazard ratio of 0.52 (95% confidence interval, 0.33–0.81; p = 0.005). Subgroup analyses also showed significantly better survival with old age, high body mass index, elevated carbohydrate antigen-125 level, advanced International Federation of Gynecology and Obstetrics stage, and prolonged operation and anesthesia time in the matched propofol group. In addition, patients administered with propofol anesthesia had less postoperative recurrence and metastasis than those administered with desflurane anesthesia in the matched analysis.Conclusion: Propofol anesthesia was associated with better survival in patients who underwent elective epithelial ovarian cancer open surgery. Prospective studies are warranted to evaluate the effects of propofol anesthesia on oncological outcomes in patients with epithelial ovarian cancer.

2018 ◽  
Vol 28 (3) ◽  
pp. 594-599 ◽  
Author(s):  
Cecilia Escayola ◽  
Juan Jose Torrent ◽  
Gwenaël Ferron ◽  
François Quenet ◽  
Denis Querleu

AbstractEpithelial ovarian cancer is the most common cause of death due to gynecologic malignancies. Most patients will be diagnosed at an advanced stage, and despite progress in both surgical procedures and novel targeted therapies, the overall survival of these patients remains very low. Among prognostic factors, the International Federation of Gynecology and Obstetrics stage and residual tumor after debulking surgery are the most widely reported. The current review aims to highlight the disparities in the treatment of patients with ovarian cancer and the need for postgraduate training programs in order to accredit gynecologic oncologists. Despite an increase over the centralization of these patients, many are still not receiving specialized surgery.


2020 ◽  
Vol 21 (10) ◽  
pp. 1026-1033
Author(s):  
Khalid El Bairi ◽  
Said Afqir ◽  
Mariam Amrani

Notwithstanding important advances in the treatment of epithelial ovarian cancer (EOC), this disease is still a leading cause of global high mortality from gynecological malignancies. Recurrence in EOC is inevitable and it is responsible for poor survival rates. There is a critical need for novel effective biomarkers with improved accuracy compared to the standard carbohydrate antigen-125 (CA-125) for follow-up. The human epididymis protein 4 (HE4) is used for early detection of EOC (ROMA algorithm) as well as for predicting optimal cytoreduction after neoadjuvant chemotherapy and survival outcomes. Notably, the emerging HE4 is a promising prognostic biomarker that has displayed better accuracy in various recent studies for detecting recurrent disease. In this mini-review, we discussed the potential of HE4 as an accurate predictor of EOC recurrence.


2015 ◽  
Vol 25 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Augusto Pereira ◽  
Tirso Pérez-Medina ◽  
Javier F. Magrina ◽  
Paul M. Magtibay ◽  
Ana Rodríguez-Tapia ◽  
...  

ObjectiveThe objective of this study was to determine the survival of patients with node-positive epithelial ovarian cancer according to the 2014 International Federation of Gynecology and Obstetrics (FIGO) staging system.Materials and MethodsWe performed a retrospective chart review. Data from all consecutive patients with node-positive epithelial ovarian cancer (stages IIIC and IV) who underwent cytoreductive surgery at the Mayo Clinic from 1996 to 2000 were reassessed to evaluate the prognostic significance of the new FIGO stages. Multivariate Cox regression was performed, and Kaplan-Meier survival curves constructed.ResultsThe distribution of the restaged patients was as follows: IIIA1, 23 patients (IIIA1i, 9 patients; and IIIA1ii, 14 patients); IIIA2, 3 patients; IIIB, 4; IIIC, 67 patients; IVA, 4 patients; and IVB, 15 patients. In the univariate analysis, the relative risk for positive nodes greater than 10 mm on the longer axis was 2.57 and 3.00 for patients with microscopic peritoneal disease, compared with patients with microscopic positive nodes. However, the difference was not statistically significant. Moreover, the univariate analyses revealed statistically significant differences for 2014 FIGO stages (IIIA, IIIB, IIIC, and IVA-B), anatomical sites of peritoneal metastases, and disease staged at IIIC because of the presence of omental metastases. Multivariate analysis showed that survival was higher in patients restaged to IIIA-B than in those restaged to IIIC and IV (hazard ratios, 2.75 and 3.16, respectively; P = 0.002). The hazard ratio for patients with abdominal peritoneal metastases was 2.76 compared with patients with pelvic peritoneal metastases (P = 0.001).ConclusionsThe current 2014 FIGO staging system for ovarian cancer successfully correlates survival, anatomical location of peritoneal metastases, and extra-abdominal lymph node metastases.


2020 ◽  
Vol 12 (04) ◽  
pp. 276-280
Author(s):  
Devesh Sharma ◽  
Anjali Vinocha

Abstract Objectives It is not clearly known whether some benign (simple) ovarian cysts can convert into cancerous cysts. Size of cyst and wall abnormalities do predict the potentiality of malignancy. Not many studies have been done to explore the malignant potential of large-sized (> 5 cm) unilocular ovarian cysts without wall abnormalities. This study evaluated the correlation between ultrasonographic size of benign ovarian cysts and carbohydrate antigen 125 (CA-125) levels. Methodology Sixty (60) premenopausal women were recruited for the study preoperatively, based on transvaginal ultrasound (TVUS) findings present in the case record sheet received along with the CA-125 sample in the biochemistry laboratories. Those cases with elevated CA-125 levels were selected, where patients had unilocular ovarian cysts without wall abnormalities. CA-125 was done using ECLIA methodology (Cobas e411, Germany). Statistical correlation was calculated between the ovarian cyst size and CA-125 levels using Spearman’s Rho coefficient. Results Mean age group of subjects were 29.7 ± 7.3 years and mean value of CA-125 (normal < 35 IU/mL) was found to be increased: 118.0 ± 147.1 IU/mL so was the mean diameter of cysts (cut off ≤ 5 cm): 48.6 ± 59.8 cm. No correlation was found between CA-125 levels and volume of ovarian cyst (r = 0.005, p = 0.680) for all subjects. Conclusions The lack of correlation between size of ovarian cysts and CA-125 levels provides a hint that the ovarian cyst epithelium does not directly express CA-125 and it may come from sites like the fallopian tube. Thus, raised level of CA-125 in benign ovarian cyst should be followed-up more closely, demanding assessment of fallopian tubes for early diagnosis of ovarian cancer. Also, algorithms can be explored to include size of ovarian cyst and CA 125 levels to predict ovarian cancer.


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