Effective Internal Factors in Improvement of Patients Undergoing Breast Cancer Surgery Using a Logistic Regression Model

Breast cancer is the most common cancer among women. Numerous factors are effective in the improvement of patients undergoing surgery in terms of preventing relapse or need for repeated treatment during 6 months after the surgery. This study aimed to determine the factors affecting improvement of patients undergoing surgery for breast cancer using a logistic regression model. In this study information of 150 patients were extracted from the surgical records of patients underwent surgery at the Cancer Institute of Tehran Imam Khomeini Hospital. Data were analyzed through SPSS software and using logistic regression models. Of 150 studied patients, 18 patients (12%) were not fully recovered while 132 (88%) had complete remission. The mean age of the patients was 43 ± 7.5 years, 92.8% were married, and 87.3% had children. According to the results, the odds of non recovery increased by 1.26 times with each one-year increase in age, 5.3 times with each one lymph node involvement, and 8.67 times in the case of metastasis. Other variables, such as marital status, number of children, tumor size, and location of the metastasis showed no significant relationship. The Results showed that age at diagnosis, due to its relationship with metastases and number of involved lymph nodes can be directly or indirectly affect the outcome. Therefore, increasing the women's awareness about breast cancer seems to be necessary for early diagnosis which requires planning a sufficient screening program by health policy makers of the country.