FACTORS INFLUENCING ENTERAL FEEDING INTOLERANCE IN NEUROCRITICAL PATIENTS BASED ON ADMISSION DATA
Volume 7, Issue 3, Pp 56-60, 2025
DOI: https://doi.org/10.61784/jpmr3057
Author(s)
ZhongYi Wu
Affiliation(s)
Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou215001, Jiangsu, China.
Corresponding Author
ZhongYi Wu
ABSTRACT
Objective: To identify risk factors for feeding intolerance (FI) among neurocritical patients based on admission data.Methods: A retrospective study was conducted using convenience sampling to analyze neurocritical patients who were admitted to the neurology department of a tertiary hospital in Suzhou and received enteral nutrition between January 2018 and December 2022. Univariate and multivariate logistic regression analyses were performed to determine independent predictors of FI.Results: A total of 291 patients were included, of whom 119 (40.9%) developed FI. Univariate analysis showed that age, history of diabetes, history of stroke, Glasgow Coma Scale (GCS) score, and Nutritional Risk Screening 2002 (NRS-2002) score were significantly associated with FI (P<0.05). Multivariate logistic regression identified history of diabetes (OR=2.687), history of stroke (OR=2.352), lower GCS score (OR=0.750), and higher NRS-2002 score (OR=1.467) as independent risk factors for FI.Conclusion: History of diabetes, history of stroke, lower GCS score, and higher NRS-2002 score are major risk factors for FI in neurocritical patients. Early identification of these high-risk characteristics using admission data may support timely, targeted interventions to improve feeding tolerance and enhance the effectiveness of enteral nutrition.
KEYWORDS
Neurocritical patients; Enteral nutrition; Feeding intolerance; Nursing
CITE THIS PAPER
ZhongYi Wu. Factors influencing enteral feeding intolerance in neurocritical patients based on admission data. Journal of Pharmaceutical and Medical Research. 2025, 7(3): 56-60. DOI: https://doi.org/10.61784/jpmr3057.
REFERENCES
[1] Robinson KA, Davis WE, Dinglas VD, et al. A systematic review finds limited data on measurement properties of instruments measuring outcomes in adult intensive care unit survivors. Journal of Clinical Epidemiology. 2017, 82: 37-46.
[2] Reintam Blaser A, Starkopf J, et al. Early enteral nutrition in critically ill patients: ESICM clinical practice guidelines. Intensive Care Medicine. 2017, 43(3): 380-398.
[3] Liu F, Gao L, Wang XY, et al. Expert consensus on enteral feeding care for neurocritical patients. Chinese Journal of Nursing. 2022, 57(3): 261–264.
[4] O'Mara KL, Islam S, Taylor JA, et al. Gabapentin improves oral feeding in neurologically intact infants with abdominal disorders. Journal of Pediatric Pharmacology and Therapeutics. 2018, 23(1): 59–63.
[5] Reintam Blaser A, Malbrain ML, Starkopf J, et al. Gastrointestinal function in intensive care patients: terminology, definitions and management. Recommendations of the ESICM Working Group on Abdominal Problems. Intensive Care Medicine. 2012, 38(3): 384-394.
[6] McClave SA, Martindale RG, Vanek VW, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN: Journal of Parenteral and Enteral Nutrition. 2009, 33(3): 277-316.
[7] Li H, Yang Z, Tian F. Risk factors associated with intolerance to enteral nutrition in moderately severe acute pancreatitis: A retrospective study of 568 patients. Saudi Journal of Gastroenterology. 2019, 25(6): 362-368.
[8] Du B, An Y, Kang Y, et al. Characteristics of critically ill patients in ICUs in mainland China. Critical Care Medicine. 2013, 41(1): 84-92.
[9] Bu LJ, Cheng FE, Zhang AQ, et al. Development and validation of a risk prediction model for enteral feeding intolerance in critically ill patients. Chinese Journal of Nursing. 2024, 59(15): 1877–1883.
[10] Halland M, Bharucha AE. Relationship Between Control of Glycemia and Gastric Emptying Disturbances in Diabetes Mellitus. Clinical Gastroenterology and Hepatology. 2016, 14(7): 929-936.
[11] Hu K, Deng XL, Han L, et al. Development and validation of a predictive model for feeding intolerance in intensive care unit patients with sepsis. Saudi Journal of Gastroenterology. 2022, 28(1): 32-38.
[12] Yuan R, Liu L, Mi J, et al. Development and validation of a risk prediction model for feeding intolerance in neurocritical patients with enteral nutrition. Frontiers in Nutrition. 2024, 11: 1481279. DOI: 10.3389/fnut.2024.1481279
[13] Cortés-Aguilar R, Malih N, Abbate M, et al. Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: a systematic review and meta-analysis. Clinical Nutrition. 2024, 43(5): 1094–1116.
[14] Elke G, van Zanten AR, Lemieux M, et al. Enteral versus parenteral nutrition in critically ill patients: an updated systematic review and meta-analysis of randomized controlled trials. Critical Care. 2016, 20(1): 117.

Download as PDF