Background: Survival analysis refers to analyzing of statistical data for which the outcome variable of interest is time until an event occurs. This research aimed at comparing different models of parametric Proportional Hazards (PH) models (Weibull, exponential, Gompertz) in patients with hemodialysis to determine the best model for assessing the survival of patient. Study consists of 325 hemodialysis patients who referred to public hospitals in Khartoum state in the period from December 2005 to December 2015. Data was used to estimate the survival function with view to identify risk factors influencing among end-stage renal disease (ESRD) population. Based on the Cox-Snell Residuals and AIC, BIC, and Gompertz (PH) model is an efficient model than other when the values of (AIC=662.21), (BIC=703.83) and (R2=0.211) where maintained Study assessed that the variables dealing with univariate models were significant but had a significant effect on hemodialysis survival. The Gompertz model had the smallest AIC and BIC value; therefore; it was selected as the most appropriate model. In multivariable analysis, the BIC had the lowest value and the highest value in each analysis. The study assessed that diabetes mellitus and hypertension, regular, and hospital, had a. significant effect.

Background: Polycystic ovarian syndrome (PCOS) and thyroid disorders are the most common endocrine disorders in women. Evidently, the involvement of polycystic ovarian syndrome (PCOS) and thyroid autoimmunity triggering thyroid disorders has not yet occurred. Objective: The aim was to assess serum free tri-iodothyronine (FT3), free thyroxin (FT4) and anti-thyroglobulin antibodies among polycystic ovary syndrome Sudanese patients. Materials and methods: Fifty Sudanese patients diagnosed with PCOS and 50 healthy age matched females were recruited in this cross-sectional controlled study. Serum FT3 and FT4 were measured by an immunoassay analyzer and serum anti-thyroglobulin antibodies were measured using ELISA. The data was then analyzed using the SPSS. Results: The results showed a significant increase in serum FT3 and anti-thyroglobulin antibodies and there was no statistical difference in PCOS serum FT4 levels compared to the control group. The results revealed no correlation between levels of FT3, FT4 and anti-thyroglobulin antibodies with age; also there were no correlation between levels of FT3 and FT4 with BMI while there was a positive correlation between anti-thyroglobulin antibodies levels and BMI. Conclusion: Patients with PCOS had elevated FT3 and antithyroglobulin. Therefore, the assessment of thyroid autoantibody with thyroid hormones in patients with PCOS should be investigated.