Factors Affecting Glycemic Control Among Type 2 Diabetes Mellitus Patients at Yekatit 12 Hospital Medical College. 2024

Objectives: The report aims to examine the effects of serum creatinine (SCT) on heart, diabetes, anaemia and normal study units, and along with the other biological factors. The study is based on the relationship of serum creatinine with heart, diabetes, anaemia patients and many other factors. Materials & Methods: A real data set of 299 heart patients with 13 study characters is taken in the current study, the data set is available herein: https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records, and the serum creatinine probabilistic model has been developed applying statistical joint generalized linear models. Results: From the fitted Log-normal model, the mean serum creatinine (SCT) is positively associated with age (P<0.0001). It is partially negatively associated with ejection fraction (EFT) (P=0.0974) and partially positively associated with the joint interaction effects (JIEs) of EFT and the death-event (DEE), i.e., EFT*DEE (P=0.1168). It is negatively associated with creatinine phosphokinase (CPK) (P<0.0001) and serum sodium (SNa) (P<0.0001), while it is positively associated with their JIEs, i.e., CPK*SNa (P<0.0001). It is negatively associated with high blood pressure (BP) (P=0.0030). It is partially negatively associated with the JIEs of anaemia status (ANS) and time up to the end of the follow-up period (TFP) i.e., ANS*TFP (P=0.1299), while it is independent of both the ANS and TFP. It is negatively associated with the smoking status (SMS) (P=0.0007), and positively associated with the JIEs of SMS and TFP, i.e., SMS*TFP (P=0.0016). Variance of SCT is negative associated with age (P=0.0543) and ANS (P=0.0044), while it is positively associated with their JIEs, i.e., AGE*ANS (P=0.0070). SCT variance is negatively associated with CPK (P=0.0001), while it is partially positively associated with the JIEs of CPK and ANS i.e., CPK*ANS (P=0.1482). Variance of SCT is negatively associated with diabetes mellitus status (DMS) (P=0.0199), while it is positively associated with the JIEs of CPK and DMS i.e., CPK*DMS (P=0.0086). There are many more significant effects in the SCT variance model. Conclusions: From this data set, it is clear that mean and variance of serum creatinine is associated with the heart, diabetes and anaemia patients. It affects age, EFT, CPK, SNa, PLC, BP, ANS, DMS, SMS, SEX, TFP, DEE and their many joint interaction effects.