TO predict kidney complications with Artificial intelligence by estimating salivary enzymes

Not Applicable

• Conditions: Health Condition 1: E112- Type 2 diabetes mellitus with kidney complications

• Registration Number: CTRI/2020/06/026106
• Lead Sponsor: Priyadharshini

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Last Update Posted: 24 November 2021

Recruitment & Eligibility

• Status: ot Yet Recruiting
• Sex: Not specified
• Target Recruitment: 0

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

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.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Artificial Neural Network will predict occurrence of diabetic nephropathy in <br/ ><br>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 Outcome Measures

Name	Time	Method
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