Unique ID issued by UMIN | UMIN000056973 |
---|---|
Receipt number | R000063644 |
Scientific Title | Association between gastric residual volume and clinical outcomes during post-pyloric enteral nutrition |
Date of disclosure of the study information | 2025/02/08 |
Last modified on | 2025/02/14 11:47:53 |
Association between gastric residual volume and clinical outcomes during post-pyloric enteral nutrition
Significance of gastric residual volume during post-pyloric enteral nutrition
Association between gastric residual volume and clinical outcomes during post-pyloric enteral nutrition
Significance of gastric residual volume during post-pyloric enteral nutrition
Japan |
Patients who were admitted to the intensive care unit and received the post-pyloric enteral nutrition
Intensive care medicine |
Others
NO
To investigate the relationship between an increase in gastric residual volume during post-pyloric enteral nutrition and clinical outcomes
Others
Examination of relevance
90-day mortality
1) ICU length of stay, 2) ICU mortality, 3) 28-day mortality, 4) hospital mortality, 5) ventilator free days, 6) hospital length of stay, 7) Number of days until large GRV occurs, 8) Frequency of large GRV over the duration of the stay, 8) volume of GRV, 9) volume of enteral nutrition, 10) Number of days until the start of post-pyloric nutrition
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1) Patients who received post-pyloric enteral nutrition for more than 24 hours
2) Patients who stayed in the ICU for at least 72 hours
3) Patients with two or more GRVs measured during post-pyloric enteral nutrition in ICU
1) Patients who received enteral nutrition via an enterostomy
2) Patients with a history of upper gastrointestinal surgery
3) Patients who were admitted to ICU with diseases that involve digestive tract obstruction, such as intestinal obstruction.
4) Patients for whom gastric residual volume has not been measured
600
1st name | Masashi |
Middle name | |
Last name | Yokose |
Yokohama City University Hospital
Department of Anesthesiology and Critical Care Medecine
236-0004
3-9, Fukuura, Kanazawa-ku, Yokohama, Kanagawa
+81457872800
yokose_p12@yahoo.co.jp
1st name | Masashi |
Middle name | |
Last name | Yokose |
Yokohama City University Hospital
Department of Anesthesiology and Critical Care Medecine
236-0004
3-9, Fukuura, Kanazawa-ku, Yokohama, Kanagawa
+81457872800
yokose_p12@yahoo.co.jp
Yokohama City University
Self funding
Self funding
Yokohama City University Ethics Committee
3-9, Fukuura, Kanazawa-ku, Yokohama, Kanagawa
+81457872800
rinri@yokohama-cu.ac.jp
NO
2025 | Year | 02 | Month | 08 | Day |
Unpublished
Enrolling by invitation
2024 | Year | 11 | Month | 28 | Day |
2024 | Year | 11 | Month | 28 | Day |
2025 | Year | 02 | Month | 08 | Day |
2029 | Year | 03 | Month | 31 | Day |
1) Patients characteristics: age, gender, height, weight, past history, comorbidities, nutritional status, diagnosis, SOFA score
2) Symptoms of feeding intolerance: large GRV, vomiting, diarrhea, bleeding, intestinal distention, intestinal peristalsis
3) Enteral nutrition dosage, type of enteral nutrition
4) Vasoconstrictors, sedatives, narcotics, intestinal peristalsis drugs
5) Serum albumin
6) Intra-abdominal pressure
7) Position or diameter of enteral feeding tubes and nasogastric tubes
8) Assisted circulation (ECMO, IABP, IMPELLA, VAD)
9) Enteral nutrition related outcomes
10) Outcomes: 90-day mortality, in-hospital mortality, ICU mortality, length of stay in hospital, length of stay in ICU, duration of ventilation
Statistical analysis
Logistic regression analysis: the association between large GRV (>=250 ml/day) and 90-day mortality
Covariates
(1) GRV (2) age (3) sex (4) BMI (5) SOFA score (6) gastrointestinal disease, (7) internal medicine or surgery, (8) vasopressor, (9) insulin-dependent DM, (10) IAP, (11) narcotics, (12) sedatives, (13) assisted circulation (ECMO, IABP, IMPELLA, VAD)
Secondary analysis of the main analysis
1) Define large GRV as >=500 ml/day.
2) Use gastrointestinal dysfunction instead of GRV.
Handling of missing values: If there are missing values that cannot be ignored, conduct a sensitivity analysis that does not include those covariates.
Comparison between groups(Presence or absence of large GRV): Patient background, nutrition-related outcomes, clinical outcomes
t-test or u-test, Pearson's chi-square test
Evaluation of the association between the use of prokinetic agents and 90-day mortality in patients with GRV >=250 ml/day
Logistic regression analysis
2025 | Year | 02 | Month | 07 | Day |
2025 | Year | 02 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063644