Caixia Jiang1, Zhengyu Li2. 1. Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China,; Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China. 2. Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China,; Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China,. Electronic address: zhengyuli@scu.edu.cn.
Abstract
OBJECTIVE: To externally validate the performance of the Mayo triage algorithm applied to treatment strategy management in advanced epithelial ovarian cancer (AEOC) patients. METHODS: AEOC patients who underwent primary debulking surgery (PDS) were included and were divided into two groups based on the Mayo triage algorithm: "high risk" and "triage appropriate". The surgery outcomes and complications of the patients were compared between the two groups. RESULTS: 179 consecutive AEOC patients were enrolled for analysis, including 32 patients in the high-risk group and 147 patients in the triage-appropriate group. The results showed that patients in the high-risk group were older, had worse physical status and had lower preoperative serum albumin than those in the triage-appropriate group (P<0.01). The high-risk group had a lower proportion of women who underwent intermediate/high complexity surgery (38% vs. 72%, P<0.01) as well as a lower proportion of women who underwent optimal resection (50% vs. 71%, P<0.05). Furthermore, the incidence of 30-day complications (28% vs. 5%, P<0.01) and the proportion of patients who were unable to undergo adjuvant chemotherapy after PDS (22% vs. 2%, P<0.01) were both significantly higher in the high-risk group than in the triage-appropriate group. In addition, compared to the triage-appropriate group, the 90-day mortality rate in the high-risk group was also notably higher, but the difference was not statistically significant (6% vs. 1%, P=0.15). CONCLUSION: The validity of the Mayo triage algorithm for treatment decision-making in AEOC was externally confirmed in this study. This short-term complication assessment tool could be effectively used for the individualized primary management of high-risk AEOC patients. The feasibility of the Mayo triage algorithm for use in long-term management should be further explored.
OBJECTIVE: To externally validate the performance of the Mayo triage algorithm applied to treatment strategy management in advanced epithelial ovarian cancer (AEOC) patients. METHODS: AEOC patients who underwent primary debulking surgery (PDS) were included and were divided into two groups based on the Mayo triage algorithm: "high risk" and "triage appropriate". The surgery outcomes and complications of the patients were compared between the two groups. RESULTS: 179 consecutive AEOC patients were enrolled for analysis, including 32 patients in the high-risk group and 147 patients in the triage-appropriate group. The results showed that patients in the high-risk group were older, had worse physical status and had lower preoperative serum albumin than those in the triage-appropriate group (P<0.01). The high-risk group had a lower proportion of women who underwent intermediate/high complexity surgery (38% vs. 72%, P<0.01) as well as a lower proportion of women who underwent optimal resection (50% vs. 71%, P<0.05). Furthermore, the incidence of 30-day complications (28% vs. 5%, P<0.01) and the proportion of patients who were unable to undergo adjuvant chemotherapy after PDS (22% vs. 2%, P<0.01) were both significantly higher in the high-risk group than in the triage-appropriate group. In addition, compared to the triage-appropriate group, the 90-day mortality rate in the high-risk group was also notably higher, but the difference was not statistically significant (6% vs. 1%, P=0.15). CONCLUSION: The validity of the Mayo triage algorithm for treatment decision-making in AEOC was externally confirmed in this study. This short-term complication assessment tool could be effectively used for the individualized primary management of high-risk AEOC patients. The feasibility of the Mayo triage algorithm for use in long-term management should be further explored.