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Development and Application of Artificial Intelligence in Predicting the Surgical Risks of Cyanotic Congenital Heart Disease Patients Based on Retinal Image

Application of Retinal Image to Assess the Surgical Risk in Adults with Cyanosis Congenital Heart Disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800018153
Enrollment
Unknown
Registered
2018-09-01
Start date
2018-07-01
Completion date
Unknown
Last updated
2018-11-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cyanotic congenital heart disease

Interventions

Case series:Nil

Sponsors

Guangdong General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
5 Years to 30 Years

Inclusion criteria

Inclusion criteria: Aged 5-30 years old, cyanosis congenital heart disease patient, who is to be treated by surgery, voluntarily participated in and signed the informed consent (the minor is signed by the guardian); The general condition is subject to complete examination, treatment and follow-up.

Exclusion criteria

Exclusion criteria: 1. Combination of other serious eye diseases (uveitis, iris redness, glaucoma, diabetic retinopathy, macular degeneration, retinal detachment, retinitis pigmentosa, severe refractive interstitial opacity, etc.); 2. have received eye operations such as cataract and glaucoma; 3. Systemic diseases such as autoimmune diseases, diabetes, etc.

Design outcomes

Primary

MeasureTime frame
Oxygen saturation;Retinal photography;Intra-ocular pressure;Optical coherence tomography angiography;—

Secondary

MeasureTime frame
Blood cell count;Blood biochemical tests;Past medical history;Slit-lamp examination;Best corrected visual acuity;—

Countries

China

Contacts

Public ContactLiang Zhang

Guangdong General Hospital

zhangliang5413@163.com+86 13602721773

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026