Multivariate stepwise linear regression analysis of influential factors
Multiple linear regression analysis was then performed to identify potential risk factors for HBL in LESS-M and CLM, respectively. As was shown in TableĀ 3, the BMI (p=0.047), pre-operative value of Hct (p=0.011), degeneration of largest removed leiomyoma in the uterus (p=0.003) and location of largest removed leiomyoma in the uterus (p=0.024) have a significant influence on HBL in LESS-M, among which degeneration of largest removed leiomyoma in uterus has the greatest influence. Patients with uterine leiomyoma degeneration are more likely to have higher HBL. However, age, IBL, surgical time, number of removed leiomyomas, volume of largest removed leiomyoma, pre-operative value of Hb, use of pituitrin, types of largest removed leiomyoma in uterus and cell types of largest removed leiomyoma in the uterus were not correlated with HBL significantly.
Meanwhile, as was shown in Table 4, the age (p=0.046) and cell types of largest removed leiomyoma in the uterus (p=0.023) were significantly correlated with HBL in CLM. However, BMI, IBL, surgical time, pre-operative value of Hb, pre-operative value of Hct, number of removed leiomyomas, volume of largest removed leiomyoma, use of pituitrin, types of largest removed leiomyoma in the uterus, degeneration of largest removed leiomyoma in uterus and location of largest removed leiomyoma in the uterus have no significant association with HBL.