Establishing Malnutrition Diagnosis System by Using Artificial-intelligence Technology

Disease-related Malnutrition Clinical Trial

Official title:

Establishing Malnutrition Diagnosis System by Using Artificial-intelligence Technology to Improve the Application of Clinical Pathway

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04776070
• Other study ID #: JS-2768
• Status: Completed
• Start date: August 13, 2021
• Est. completion date: May 21, 2022

Study information

• Verified date: February 2021
• Source: Peking Union Medical College Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The prevalence of malnutrition is estimated at 30-50% of hospitalized patients in China. Disease-related malnutrition increases the risk of infection, mortality, length of hospitalization as well as the economic burden. National Nutrition Plan proposed to reduce malnutrition, but a clear, effective roadmap and protocol has not existed yet. Several factors impede to resolve the above challenges. They include :1) the low efficiency of current malnutrition diagnosis methods; 2) the lack of dynamic, standard method that can evaluate nutritional status in quantitative way. To this end, the investigators aim to establish an artificial-intelligence malnutrition diagnosis system to improve the application of malnutrition Clinical Pathway. Firstly, the investigators will establish a multidimensional malnutrition large data set, based on our previously built national hospital nutrition screening data set.

It will contain deep 3D facial images, semi-structured and structured electronic medical record. Then, the investigators will use ensemble learning algorithm to establish a fully automatic, artificial-intelligence malnutrition diagnosis model that includes both etiological and phenotypic diagnosis.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 500
• Est. completion date: May 21, 2022
• Est. primary completion date: April 21, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 100 Years

Eligibility

Inclusion Criteria:

• Adults (=18 years old);

• Within 48 hours of admission;

• Inpatients at high risk of malnutrition, such as malignant tumors, chronic obstructive pulmonary disease, etc;

• Han nationality;

• Able to given informed consent.

Exclusion Criteria:

• Patients with artificial facial changes (such as plastic surgery , head and neck radiotherapy , head and neck trauma);

• Diseases with special facial changes (such as acromegaly);

• High dose glucocorticoid users;

• Patients with facial edema;

• Emergency admission with an expected length of stay of less than 3 days;

• Other conditions researchers thought could not be included

Related Conditions & MeSH terms

• Disease-related Malnutrition
• Malnutrition

Locations

Country	Name	City	State
China	Dongcheng district,Peking union medical college hospital	Beijing	Beijing

Sponsors (3)

Lead Sponsor	Collaborator
Peking Union Medical College Hospital	Peking Union Medical College, Sichuan Academy of Medical Sciences

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	malnutrition diagnosis	Using Global Leadership Initiative on Malnutrition(GLIM) to diagnose malnutrition among hospitalized patients	Within 48 hours of admission