Dry Eye Syndromes
Conditions
Brief summary
This project is based on artificial intelligence (AI) algorithms to screen the effective methods of traditional Chinese medicine intervention for dry eye and its applicable conditions, and optimize the traditional Chinese medicine intervention plan for dry eye through the evaluation of evidence-based medicine and expert consensus, and construct the Clinical Decision support system of traditional Chinese medicine intervention for dry eye, secondly, a real-world prospective cohort study design is adopted, the CDSS system is used in the ophthalmology clinic, and its practical application effect on patients with dry eye is evaluated.
Detailed description
Dry eye is a common disease that affects tears and ocular surface. It can cause ocular surface discomfort, visual impairment and even blindness, affect the quality of life of patients and cause social and psychological harm. Interventions related to traditional Chinese medicine can effectively alleviate the clinical symptoms and signs of patients with dry eye, and are an indispensable part of the treatment of dry eye. However, at present, patients with dry eye are mainly diagnosed at the western medicine ophthalmology clinic. Due to the lack of knowledge of Chinese medicine by western medicine ophthalmologists, they are unable to provide patients with good guidance on Chinese medicine intervention measures, which may cause patients to miss Chinese medicine-related treatments. This project provides doctors of Western medicine with a clinical decision support system (CDSS) of Chinese medicine interventions for dry eye syndrome, so as to improve doctors' guidance and decision-making of Chinese medicine for patients. This project is based on artificial intelligence (AI) algorithms to screen the effective methods of traditional Chinese medicine intervention for dry eye and its applicable conditions, and optimize the traditional Chinese medicine intervention plan for dry eye through the evaluation of evidence-based medicine and expert consensus, and construct the Clinical Decision support system of traditional Chinese medicine intervention for dry eye, secondly, a real-world prospective cohort study design is adopted, the CDSS system is used in the ophthalmology clinic, and its practical application effect on patients with dry eye is evaluated.
Interventions
BEHAVIORALClinical Decision Support System
This project is based on the artificial intelligence (AI) algorithm to screen the effective methods of traditional Chinese medicine intervention for dry eye and its applicable conditions, and optimize the traditional Chinese medicine intervention plan for dry eye through the evaluation of evidence-based medicine and expert consensus, and construct the traditional Chinese medicine intervention Clinical Decision Support Systems (CDSS) for dry eye. At the same time, the CDSS is provided to clinicians for their selection.
OTHERRoutine intervention
The routine intervention without CDSS is also the clinically common intervention at present.
Sponsors
Peking University Third Hospital
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
1. Ages 18 to 80 year-old. 2. Meet the diagnostic criteria for dry eye, including ocular surface symptoms and signs.
Exclusion criteria
1. There are contradictions in diagnostic information, and the real condition of the disease is doubtful; 2. The absence of necessary observation indicators; 3. Lack of necessary prognostic information; 4. The informed consent is not approved.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Ocular Surface Disease Index | Change from Before OSDI at 12 months after treatment | Ocular Surface Disease Index (OSDI) is a potential useful instrument for the assessment of vision. |
| Meibomain Gland Scale | Change from Before MGFS at 12 months after treatment | Meibomian gland function score (MGFS) is used to evaluate the function of the meibomian glands and whether there is meibomian gland dysfunction. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Tear Meniscus Height | Change from Before TMH at 12 months after treatment | Tear Meniscus Height (TMH) refers to the level of tear fluid at the junction of the light band on the surface of the cornea and conjunctiva and the light band on the lower eyelid margin. |
| Tear Break up time | Change from Before TBUT at 12 months after treatment | Tear Break up time (TBUT) is usually used to diagnose dry eye syndrome. Diluted fluorescein sodium liquid is instilled into the conjunctival fornix of the lower eyelid, and the patient is instructed to blink and hold it, and start timing. The time when the first rupture spot appears is the tear film rupture time. |
Countries
China
Contacts
Primary ContactLiyuan Tao, PhD
Backup Contactxue hong
Outcome results
None listed