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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04443335
Other study ID # QYFYKYLL761311920
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date July 2, 2020
Est. completion date June 28, 2022

Study information

Verified date November 2022
Source Qingdao University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Continuous feeding is the most popular enteral feeding mode in the ICU because of its lower nursing burden and theoretically better intestinal toleration. However, continuous feeding is nonphysiological. We proposed a feeding mode called sequential feeding, as it utilizes a combination of continuous feeding in the beginning, time-restricted feeding in the second stage, and oral feeding at last. The gut microbiota plays a critical role in human health due to its many useful functions. Not only dietary structure but also eating mode (eating time for example) influenced the gut microbiota in a healthy population. Therefore, we think this new feeding mode, sequential feeding, also has different influences on gut microbiota and metabolomics in critically ill patients compared to continuous feeding.


Description:

Nutrition is an important part of therapy for critically ill patients. Continuous feeding is the most popular enteral feeding mode in the ICU because of its lower nursing burden and theoretically better intestinal toleration. However, continuous feeding is nonphysiological. In our opinion, feeding mode should be changed according to gastrointestinal function and disease progression; one singe feeding mode is not always suitable for critically ill patients. We proposed a feeding mode called sequential feeding, as it utilizes a combination of continuous feeding in the beginning, time-restricted feeding in the second stage, and oral feeding at last. The gut microbiota plays a critical role in human health due to its many useful functions, such as metabolism, vitamin metabolism, and maintenance of the intestinal barrier and immune system. Not only dietary structure but also eating mode (eating time for example) influenced the gut microbiota in a healthy population. Therefore, we think this new feeding mode, sequential feeding, also has different influences on gut microbiota and metabolomics in critically ill patients compared to continuous feeding.


Recruitment information / eligibility

Status Completed
Enrollment 158
Est. completion date June 28, 2022
Est. primary completion date June 28, 2022
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: ?Patients newly admitted to the ICU and fed through gastric tubes Exclusion Criteria: - Patients with the ability to eat orally at admission - Patients with diabetes or gastrointestinal disease - Patients who are unable to tolerate enteral feeding - An estimated feeding time of less than 7 days

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
continous feeding
At the beginning, all the patients received continuous feeding. After achieving =80% of the nutrition target calories (25-30 kcal/kg/d) through continuous feeding, the patients were randomly assigned into the sequential feeding (SF) group or the continuous feeding (CF) group with a random number table. Patients in the CF group received continuous feeding with constant velocity by enteral feeding pump over one day.
sequential feeding
At the beginning, all the patients received continuous feeding. After achieving =80% of the nutrition target calories (25-30 kcal/kg/d) through continuous feeding, the patients were randomly assigned into the sequential feeding (SF) group or the continuous feeding (CF) group with a random number table. In the SF group, continuous feeding was changed into time-restricted feeding. The total daily dosage of enteral nutrition was equally distributed during three time periods at 7-9:00, 11-13:00 and 17-19:00. Other times of the day were fasting times. Enteral nutritional suspension in each time period was administered at a uniform rate within two hours by an enteral feeding pump.

Locations

Country Name City State
China The affiliated hospital of qingdao university Qingdao Shan Dong Province

Sponsors (1)

Lead Sponsor Collaborator
Qingdao University

Country where clinical trial is conducted

China, 

References & Publications (5)

Kaczmarek JL, Thompson SV, Holscher HD. Complex interactions of circadian rhythms, eating behaviors, and the gastrointestinal microbiota and their potential impact on health. Nutr Rev. 2017 Sep 1;75(9):673-682. doi: 10.1093/nutrit/nux036. Review. — View Citation

Lynch SV, Pedersen O. The Human Intestinal Microbiome in Health and Disease. N Engl J Med. 2016 Dec 15;375(24):2369-2379. Review. — View Citation

McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, McCarthy MS, Davanos E, Rice TW, Cresci GA, Gervasio JM, Sacks GS, Roberts PR, Compher C; Society of Critical Care Medicine; American Society for Parenteral and Enteral Nutrition — View Citation

McDonald D, Ackermann G, Khailova L, Baird C, Heyland D, Kozar R, Lemieux M, Derenski K, King J, Vis-Kampen C, Knight R, Wischmeyer PE. Extreme Dysbiosis of the Microbiome in Critical Illness. mSphere. 2016 Aug 31;1(4). pii: e00199-16. doi: 10.1128/mSpher — View Citation

Singer P, Blaser AR, Berger MM, Alhazzani W, Calder PC, Casaer MP, Hiesmayr M, Mayer K, Montejo JC, Pichard C, Preiser JC, van Zanten ARH, Oczkowski S, Szczeklik W, Bischoff SC. ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Shannon index Shannon index is a paramater of a diversity in gut microbiota Full-length 16S rRNA gene sequencing analysis using QIIME software at the time point of 7th feeding day after achieving =80% of the nutrition target calories
Secondary bacteria bundance It is a paramater of amount of bactera by Full-length 16S rRNA gene sequencing analysis using QIIME software at the time point of 7th feeding day after achieving =80% of the nutrition target calories
Secondary numbers of compounds it is a paramater by untargeted metabolomics analysis at the time point of 7th feeding day after achieving =80% of the nutrition target calories
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