Health Outcomes of Nasopharyngeal Carcinoma Patients Three Years After Treatment by the AI-assisted Home Enteral Nutrition Management
NCT ID: NCT06603909
Last Updated: 2024-09-19
Study Results
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Basic Information
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COMPLETED
NA
500 participants
INTERVENTIONAL
2021-01-01
2024-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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group 1: Use AI to assist nutrition management
The first step: Preliminary clinical nutrition screening and evaluation. Information of patients' age, stage of nasopharyngeal cancer, treatment stage (radiotherapy, chemotherapy stage) and other information were collected, and the management plan was determined.
The second step: AI-assisted HEN management mode. Regular nutritional monitoring and follow-up of patients were conducted by means of intelligent computer, intelligent App body fat device and mobile communication network collection, and basic signs, nutritional status, nutritional risks and implementation of support programs of patients were managed. Nutritional analysis model and index model are used to start the intelligent daily monitoring management and acute attack early warning mechanism.
The third step: Monitor and alert. The AI system popularized the basic knowledge of nutrition to patients through the App platform.
group 1: Use AI to assist nutrition management
group1：AI-assisted nutrition management. group 2：Traditional nutrition management（through the hospital dietitian）.group 3:control.
group 2: Contact the nutritionist team of the hospital for nutrition management
Contact the nutritionist team of the hospital for nutrition management according to patients' own situation
group 2：Traditional nutrition management（through the hospital dietitian）
group 2：Traditional nutrition management（through the hospital dietitian）
group 3: Do not adopt the two management methods.
blank control group
No interventions assigned to this group
Interventions
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group 1: Use AI to assist nutrition management
group1：AI-assisted nutrition management. group 2：Traditional nutrition management（through the hospital dietitian）.group 3:control.
group 2：Traditional nutrition management（through the hospital dietitian）
group 2：Traditional nutrition management（through the hospital dietitian）
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Changsha Medical University
OTHER
Responsible Party
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Danna Chen
Doctor
Locations
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First Affiliated Hospital of Zhengzhou University
Zhengzhou, , China
Countries
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References
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Kulkarni S, Seneviratne N, Baig MS, Khan AHA. Artificial Intelligence in Medicine: Where Are We Now? Acad Radiol. 2020 Jan;27(1):62-70. doi: 10.1016/j.acra.2019.10.001. Epub 2019 Oct 19.
Mundi MS, Mohamed Elfadil O, Olson DA, Pattinson AK, Epp LM, Miller LD, Seegmiller SL, Schneckloth JM, Baker MR, Abdelmagid MG, Patel A, Wescott BA, Elder LS, Hagenbrock MC, Sefried LE, Hurt RT. Home enteral nutrition: A descriptive study. JPEN J Parenter Enteral Nutr. 2023 May;47(4):550-562. doi: 10.1002/jpen.2498. Epub 2023 Apr 12.
Bischoff SC, Austin P, Boeykens K, Chourdakis M, Cuerda C, Jonkers-Schuitema C, Lichota M, Nyulasi I, Schneider SM, Stanga Z, Pironi L. ESPEN practical guideline: Home enteral nutrition. Clin Nutr. 2022 Feb;41(2):468-488. doi: 10.1016/j.clnu.2021.10.018. Epub 2021 Nov 24.
Muscaritoli M, Arends J, Bachmann P, Baracos V, Barthelemy N, Bertz H, Bozzetti F, Hutterer E, Isenring E, Kaasa S, Krznaric Z, Laird B, Larsson M, Laviano A, Muhlebach S, Oldervoll L, Ravasco P, Solheim TS, Strasser F, de van der Schueren M, Preiser JC, Bischoff SC. ESPEN practical guideline: Clinical Nutrition in cancer. Clin Nutr. 2021 May;40(5):2898-2913. doi: 10.1016/j.clnu.2021.02.005. Epub 2021 Mar 15.
Liu J, Wang X, Ye X, Chen D. Improved health outcomes of nasopharyngeal carcinoma patients 3 years after treatment by the AI-assisted home enteral nutrition management. Front Nutr. 2025 Jan 7;11:1481073. doi: 10.3389/fnut.2024.1481073. eCollection 2024.
Other Identifiers
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AI-nutrition to NPC patients
Identifier Type: -
Identifier Source: org_study_id
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