JRCT ID: jRCT1022240017
Registered date:07/08/2024
Evaluation of the artificial intelligence (AI) for predicting optimized insulin dosage in diabetic patients
Basic Information
Recruitment status | Pending |
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Health condition(s) or Problem(s) studied | Type 2 Diabetes |
Date of first enrollment | 07/08/2024 |
Target sample size | 130 |
Countries of recruitment | |
Study type | Observational |
Intervention(s) |
Outcome(s)
Primary Outcome | Correct rate: Rate when the difference between the test device and the units prescribed by diabetologists is within the acceptable range. |
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Secondary Outcome |
Key inclusion & exclusion criteria
Age minimum | >= 20age old |
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Age maximum | Not applicable |
Gender | Both |
Include criteria | Clinical data of hospitalized type 2 diabetes patients who received insulin therapy from diabetologists will be collected, provided they meet all the following eligibility criteria and do not fall under any exclusion criteria. Eligibility Criteria: (1) Patients using ultra-rapid-acting insulin and long-acting insulin (insulin glargine, insulin degludec) (2) Patients aged 20 years or older (3) Patients who have provided written consent to participate in the study (4) Patients with a hospital stay of 7 days or more |
Exclude criteria | (1) Patients who are pregnant or may be pregnant (2) Patients with or suspected of having diabetic gastroparesis (3) Patients with severe diabetic autonomic neuropathy (4) Patients with pre-proliferative diabetic retinopathy or proliferative diabetic retinopathy, or suspected of having these conditions (5) Patients undergoing continuous subcutaneous insulin infusion therapy or continuous intravenous insulin infusion (6) Patients who have not been discharged since undergoing general anesthesia surgery (7) Patients with missing data in the specified input data without any reason such as tests (8) Patients whose primary purpose is not blood glucose control (9) For cases from Tohoku University Hospital, data from hospitalizations before 2021 (as these data may have been used for the training of the experimental device) |
Related Information
Primary Sponsor | Katagiri Hideki |
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Secondary Sponsor | |
Source(s) of Monetary Support | AMED,Renascience Inc. |
Secondary ID(s) |
Contact
Public contact | |
Name | Kei Takahashi |
Address | 2-1, Seiryo-machi, Aoba-ku, Sendai Miyagi Japan 980-8575 |
Telephone | +81-22-717-7611 |
kei.takahashi.b4@tohoku.ac.jp | |
Affiliation | Tohoku University Graduate School of Medicine |
Scientific contact | |
Name | Hideki Katagiri |
Address | 2-1, Seiryo-machi, Aoba-ku, Sendai Miyagi Japan 980-8575 |
Telephone | +81-22-717-7611 |
katagiri@med.tohoku.ac.jp | |
Affiliation | Tohoku University Graduate School of Medicine |