Health Condition 1: E112- Type 2 diabetes mellitus with kidney complications
Conditions
Interventions
Intervention1: NIL: NIL
Sponsors
Priyadharshini
Eligibility
Inclusion criteria
Inclusion criteria: Patients visiting the dental OPD of Indira Gandhi Institute of Dental Sciences who are already diagnosed of Type 2 Diabetes Mellitus in the age group of 30 â?? 75 years Patients who are willing to take part in this study.
Exclusion criteria
Exclusion criteria: 1. Patients with acute kidney disease. 2. Patients under antisialologues. 14 3. Patients who are chronic smoker 10-15 cigarettes per day for more than a year. 14 4. Patients under corticosteroids that increases the serum urea. 15 5. Patients who are under Cimetidine, Trimethoprim, Vitamin D metabolites that increases the serum creatinine level. 16 6. Patients who are under Cefoxitin antibiotics that increases serum creatinine levels. 16 7. Patients with acute illness, critically ill, pregnant womenâ??s and children. 8. Patients with salivary gland disorders. 14 9. Patients who have Type 1 and other types of Diabetes. 10. Patients who are not willing to take part in the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Artificial Neural Network will predict occurrence of diabetic nephropathy in Type 2 Diabetes Mellitus patients with the estimated salivary levels of urea and creatinine.Timepoint: After Quantification of salivary urea and creatinine by Berthelot â?? urease method and Jaffeâ??s method and feeding data to Artificial Neural Network at the end of 35 weeks | — |
Secondary
| Measure | Time frame |
|---|---|
| Artificial Neural Network can be used as a predictor for Diabetic Nephropathy in TYPE II Diabetes Mellitus patientsTimepoint: After Quantification of salivary urea and creatinine by Berthelot â?? urease method and Jaffeâ??s method and feeding data to Artificial Neural Network by end of 17 weeks | — |
Countries
India
Contacts
Public Contactjagat reddy
Indira gandhi institute of dental sciences
Outcome results
None listed