Analysis of risk factors for negative emotions in perioperative period of ovarian cancer patients and their impact on prognosis

BACKGROUND: Ovarian cancer (OC), a common malignant tumor of the female reproductive system, has the highest mortality rate among gynecologic cancers. Female patients often experience negative emotions such as anxiety and depression due to sex hormone disorders, fear of cancer, and unfamiliarity with the hospital environment. This study aimed to elucidate the risk factors of negative emotions in the perioperative period of OC patients and their effect on prognosis to provide a reference basis for improving patients’ prognosis. METHODS: We retrospectively analyzed the data of 258 patients with OC at our hospital between August 2014 and December 2019. The t-test and chi-square test were used to analyze the relationship between patients’ negative emotions and prognosis. Binary logistic regression was used to analyze the independent risk factors for the occurrence of negative emotions and poor prognosis in patients. RESULTS: Binary logistic regression analysis showed that young age, low monthly household income, low education, no children, lymph node metastasis, postoperative chemotherapy, time to postoperative bowel function recovery ≥24 hours, and the presence of postoperative complications such as irregular bleeding and pressure sores were independent risk factors for negative emotions in patients. Furthermore, negative emotions were found to be an important independent risk factor for patients’ prognosis. In patients with negative emotions, the survival rate at 2 and 3 years after surgery was significantly lower compared with patients without negative emotions, and the recurrence rate at 3 years after surgery was significantly higher than in patients without negative emotions. CONCLUSIONS: In the perioperative period of OC, patients are prone to anxiety, depression, and other psychological disorders, which seriously affect the treatment effect. Therefore, in clinical work, patients’ negative emotions should be predicted as early as possible, and active communication with patients and timely psychological counseling should be provided. Improve surgical accuracy and reduce the complication rate.