Cited by 43Clinical Nutrition and GastroenterologySepsis Diagnosis and TreatmentNosocomial Infections in ICU

Prognostic Value of Prolonged Feeding Intolerance in Predicting All‐Cause Mortality in Critically Ill Patients: A Multicenter, Prospective, Observational Study

Hu, Bangchuan, Sun, Renhua, Wu, Aiping, Ni, Yin, Liu, Jingquan, Guo, Feng, Ying, Lijun, Ge, Guoping +10 more·2020·Journal of Parenteral and Enteral Nutrition

Abstract

Background: The 2012 European Society of Intensive Care Medicine (ESICM) guidelines provided a clear definition of feeding intolerance (FI). The study aimed to investigate the association between FI based on the current ESICM definition and clinical outcome and to further explore the effect of the duration of FI on mortality. Methods: Adult patients from 14 general intensive care units (ICUs) with an expected ICU stay ≥24 hours were prospectively studied. Based on FI duration in the first week of admission to the ICU, FI was categorized as 7‐day persistent feeding tolerance (FT), delayed FT, delayed FI, and 7‐day persistent FI. The primary outcomes were 28‐day and 60‐day all‐cause mortality. Results: Of 499 patients, the prevalence of 3‐day and 7‐day persistent FI was 39.2% (n = 196) and 25.4% (n = 106), respectively. The patients with 3‐day FT had lower risk of 28‐day and 60‐day mortality rates and higher prevalence in ventilator weaning and vasoactive medication on the seventh day of ICU admission than those with 3‐day FI. Three‐day FI remained an independent predictor for 60‐day mortality. In a subgroup analysis including 418 patients with 7‐day survival, compared with those with 7‐day persistent FT, the odds ratios of 60‐day mortality were 1.67, 1.97, and 2.62 in the patients with delayed FT, delayed FI, and 7‐day persistent FI, respectively. Conclusion: FI was associated with increased mortality and longer duration of mechanical ventilation and vasoactive support. Prolonged or relapsing FI represented an incremental risk of adverse outcomes in critically ill patients.

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Crossref · 10.1002/jpen.1693

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Authors
Hu, B., Sun, R., Wu, A., Ni, Y., Liu, J., Guo, F., Ying, L., Ge, G., Ding, A., Shi, Y., Liu, C., Xu, L., Jiang, R., Lu, J., Lin, R., Zhu, Y., Wu, W., & Xie, B.
Affiliations
  • Zhejiang Provincial People's Hospital (CN)
  • ICU Zhejiang Provincial People's Hospital Hangzhou P. R. China
  • Sir Run Run Shaw Hospital (CN)
  • Shaoxing People's Hospital (CN)
  • ICU Jinhua People's Hospital Jinhua P. R. China
  • The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
  • First Hospital of Jiaxing (CN)
  • Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
  • Ningbo Medical Center Lihuili Hospital (CN)
  • Zhejiang Chinese Medical University (CN)
  • Zhejiang Taizhou Hospital (CN)
  • Lishui Central Hospital (CN)
  • Huzhou Central Hospital (CN)
Corresponding author
Sun, Renhua
Venue
Journal of Parenteral and Enteral Nutrition
Publisher
Wiley
Published
2019-08-20
Volume
44
Issue
5
Pages
855-865
ISSN
  • 0148-6071 (ISSN-L)
  • 1941-2444
OpenAlex
W2969987252
Cited by
43
References
30
Citations by year
2026: 2 · 2025: 4 · 2024: 3 · 2023: 21 · 2022: 6 · 2021: 4 · 2020: 3
FWCI
2.47
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Parenteral and Enteral Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Funders
Natural Science Foundation of Zhejiang Province (LY17H15000)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
  • Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
Keywords
feeding intolerance, all-cause mortality, critically ill patients, intensive care unit, mechanical ventilation, vasoactive support, weaning from mechanical ventilation, prognostic factors, enteral nutrition
MeSH terms
Adult, Enteral Nutrition, Humans, Infant, Newborn, Intensive Care Units, Mortality, Prognosis, Prospective Studies, Respiration, Artificial, Critical Illness

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