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.