ABSTRACT
Background: Hysterectomy is the most common gynecological surgery performed. There are few studies evaluating hysterectomy as a risk factor for urinary incontinence. If hysterectomy is found to be a risk factor for developing urinary incontinence, women undergoing hysterectomy can be well informed prior to the procedure regarding the same. The objective of the present study was to study the prevalence of urinary incontinence in post-menopausal women and its relationship to hysterectomy. To evaluate the association of metabolic syndrome, to urinary incontinence.Methods: This study was a prospective cohort study done in Christian Medical College and Hospital, Vellore, Tamil Nadu between December 2016- December 2017. Postmenopausal women both with natural and surgical menopause, were enrolled into the study after an informed consent. The UDI-6 questionnaire was used to assess urinary incontinence. The categorical variables were presented using frequencies and percentages. The comparison of categorical variables was done using Fisher's exact test. The odds ratio and confidence interval were calculated for the prevalence. P value < 0.05 was considered to be statistically significant.Results: A total of 600 women were enrolled into the study with 300 women having attained natural menopause and 300 women with a surgical menopause. The prevalence of urinary incontinence among these post-menopausal women was 46.24%. The prevalence of urinary incontinence amongst the women with natural menopause was 47.3% and amongst the women with surgical menopause was 45% (p = 0.566). Women with metabolic syndrome suffered from urinary incontinence more than their counterparts without metabolic syndrome (55.8% vs. 36%, p <0.0001).Conclusions: The prevalence of urinary incontinence in the natural menopause and surgical menopause groups was similar, thus proving that hysterectomy is not a risk factor for developing urinary incontinence. However, metabolic syndrome was found to be associated with urinary incontinence.
ABSTRACT
BACKGROUND: With the increasing numbers of living-related donor liver transplantation, accurate means of calculating standard liver volume (SLV) based on patient body indices becomes important. Three formulae reported in literature for this purpose have been derived from studies on Western and Japanese populations. AIM: To assess the existing formulae for calculation of SLV in Indian population. METHOD: Total liver volume (TLV) of 238 patients was measured using axial helical CT images obtained for conditions unrelated to the hepatobiliary system. Body surface area (BSA) was calculated from height and weight. Measurements obtained using CT were compared with the SLV calculated based on the previously reported formulae. RESULTS: Though there was significant difference (p< 0.001) between the TLV obtained by CT and the SLV calculated using the three formulae, they also showed good agreement. On an average the formula derived from the Japanese population underestimated the SLV by 63 (202) cc (p< 0.001). Regression models for SLV (SLV = 243 + [186 x BSA] + [11.4 x Weight], SLV = 375.23 + [14.24 x body weight], SLV = -204.092 + [874.461 x BSA]) were derived from the data obtained from our population. Age and gender had no effect on the SLV. CONCLUSIONS: Formulae derived from Japanese population for calculation of SLV is not suitable for the Indian population. The newly described formulae may prove useful in the Indian population.