Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on LDL cholesterol Control in Patients with familial hypercholesterolemia (iSTART-FH)
Not Applicable
Recruiting
- Conditions
- Familial Hypercholesterolemia
- Registration Number
- JPRN-UMIN000040198
- Lead Sponsor
- Kanazawa University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 60
Inclusion Criteria
Not provided
Exclusion Criteria
who is applicable to one of those diabetes, malignant hypertension, secondary hypertension under insulin therapy Female with pregnancy or expected eGFR< 45ml/min/1.73m2 severe Liver dysfunction within 1 year from myocardial infarction or stroke allergy and/or nuder steroid pancreatitis (active or history) under treatment of malignancies Patients whose doctors in charge consider him/her inappropriate to participate
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Absolute change of LDL-C from baseline (at 12 months)
- Secondary Outcome Measures
Name Time Method Fasting glucose Cost Blood pressure Serum lipids (TCHO, TG, HDL-C) Urin albmin New onset of diabetes Changes in lipid-lowering therapies Frequency of use of application Absolute LDL-C change due to the change of nutritional intake