Affiliation:
1. Department of Nursing PengZhou People's Hospital Chengdu Sichuan China
2. Department of Nursing ChengFei Hospital Chengdu Sichuan China
3. Department of Oncology, Sichuan Provincial People's Hospital University of Electronic Science and Technology of China Chengdu Sichuan China
4. Department of Urology, Sichuan Provincial People's Hospital University of Electronic Science and Technology of China Chengdu Sichuan China
5. Department of Nursing, Sichuan Provincial People's Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
Abstract
AbstractIdentifying patients with a particularly high risk of refeeding syndrome (RFS) is essential for taking preventive measures. To guide the development of clinical decision‐making and risk prediction models or other screening tools for RFS, increased knowledge of risk factors is needed. Therefore, we conducted a systematic review to identify risk factors for the development of RFS. PubMed, EMBASE, Cochrane Library, and Web of Science were searched from January 1990 until March 2023. Studies investigating demographic, clinical, drug use, laboratory, and/or nutrition factors for RFS were considered. The Newcastle‐Ottawa Scale was used to appraise the methodological quality of included studies. Of 1589 identified records, 30 studies were included. Thirty‐three factors associated with increased risk of RFS after multivariable adjustments were identified. The following factors were reported by two or more studies, with 0–1 study reporting null findings: a previous history of alcohol misuse, cancer, comorbid hypertension, high Acute Physiology and Chronic Health Evaluation II score, high Sequential Organ Failure Assessment score, low Glasgow coma scale score, the use of diuretics before refeeding, low baseline serum prealbumin level, high baseline level of creatinine, and enteral nutrition. The majority of the studies (20, 66.7%) were of high methodological quality. In conclusion, this systematic review informs on several risk factors for RFS in patients. To improve risk stratification and guide development of risk prediction models or other screening tools, further confirmation is needed because there were a small number of studies and a low number of high‐quality studies on each factor.
Funder
China Postdoctoral Science Foundation