Diets with high carbohydrate contents were associated with refeeding hypophosphatemia: A retrospective study in Japanese inpatients with anorexia nervosa.

OBJECTIVE: Refeeding hypophosphatemia (RH) is a potentially fatal complication in patients with anorexia nervosa (AN), and its dietary preventive strategy is not well established. We aimed to examine the association between carbohydrate content in the diet and the occurrence of RH in inpatients with AN via retrospective medical chart review. METHOD: We performed a chart review to collect data of patients with AN hospitalized at the Department of Psychosomatic Medicine of the University of Tokyo Hospital between April 1, 2012, and February 29, 2020. Receiver operating characteristic (ROC) analysis was performed to determine the cutoff point of the percentage of carbohydrate content in the diet for the occurrence of RH. Multivariate logistic regression analysis was performed with occurrence of RH as the dependent variable and the carbohydrate content of more than the identified cutoff point as the independent variable adjusting for the risk factors for RH. RESULTS: The percentage of carbohydrate content that is higher than the cutoff point obtained from the ROC analysis (58.4%) was significantly associated with the occurrence of RH, even after adjusting for variables associated with RH in univariate logistic regression analysis (age and body mass index) as well as the average daily calorie intake (odds ratio, 5.37; 95% confidence interval, 1.60-18.1; p = .0066). DISCUSSION: We identified that diets with higher carbohydrate contents were associated with RH in inpatients with AN, even after adjusting for known risk factors. Our findings may promote the development of dietary preventive strategies against RH in inpatients with AN.

Body mass index cut-off point associated with refeeding hypophosphatemia in adults with eating disorders.

OBJECTIVE: Refeeding hypophosphatemia (RH) is a life-threatening complication in underweight patients with eating disorders (EDs). Although a lower body mass index (BMI) has been reported as a risk factor for RH, the exact BMI cut-off point is not known. Herein, we aimed to identify the optimal BMI cut-off point for RH in adults with EDs. METHOD: The medical charts of Japanese inpatients with EDs at our hospital between April 1, 2012 and March 31, 2017 were retrospectively reviewed. The optimal BMI cut-off point for RH was determined via receiver operating characteristic analysis. Logistic regression analysis was subsequently performed to assess the association between RH and the BMI cut-off point after adjusting for the propensity score, which was based on known risk factors for RH. RESULTS: The optimal BMI cut-off point was identified as 12.6 kg/m2 . A BMI lower than the cut-off point significantly correlated with the occurrence of RH after adjusting for the propensity score. DISCUSSION: The optimal BMI cut-off point for the occurrence of RH was 12.6 kg/m2 in adults with EDs. The findings of the present study may facilitate clinical decision making and early identification of patients who require prophylactic treatment for RH.

Predictors of hypophosphatemia during refeeding of patients with severe anorexia nervosa.

OBJECTIVE: Hypophosphatemia of refeeding is one of the most dangerous complications seen during the treatment of patients with anorexia nervosa. Although easily detectable and treatable, hypophosphatemia is under-recognized as a complication of refeeding. Specific risk factors for the development of hypophosphatemia are likely to exist among patients with severe anorexia nervosa. The purpose of this study was to identify clinically useful markers that may predict the development of or protection from hypophosphatemia during refeeding. METHODS: We conducted a retrospective case-control study of 123 patients with severe anorexia nervosa admitted for medical stabilization at the ACUTE Center for Eating Disorders between October 1, 2008 and December 31, 2013. Risk factors for refeeding hypophosphatemia were determined by multivariate logistic regression from clinical parameters and laboratory values measured at the time of admission. RESULTS: The prevalence of hypophosphatemia was 33.3% (41 of 123 patients). Higher hemoglobin was the only risk factor associated with a higher odds of developing hypophosphatemia (adjusted odds ratio [aOR], 1.56 [95% confidence interval [CI], 1.12-2.18]). Statistically significant protective factors against the development of hypophosphatemia were observed with higher body mass index (aOR, 0.54 [95% CI, 0.39-0.75]), higher serum potassium (aOR, 0.29 [95% CI, 0.14-0.62]), and higher serum prealbumin (aOR, 0.91 [95% CI, 0.84-0.99]). DISCUSSION: Four independent factors associated with refeeding hypophosphatemia were identified. Identification of findings which correlate with hypophosphatemia, or the lack thereof, has the potential to facilitate appropriate triage of patients with anorexia nervosa for closer monitoring during refeeding.

Risk factors for the development of refeeding syndrome in adults: A systematic review.

Identifying 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.

Evaluation of refeeding hypophosphatemia frequency, risk factors, and nutritional status during stem cell transplantation in patients with hematologic malignancy.

BACKGROUND: Refeeding Hypophosphatemia (RH) occurs with feeding after an extended period of not feeding. Hematological Stem Cell Transplantation (HSCT) is one of the effective methods for hematologic malignancy. Nutritional disorders are frequently observed in hematologic malignancies due to the disease's pathology and the treatment's effect. The study aims to determine the influencing factors by determining the frequency of RH in patients treated with HSCT. METHODS: The study was conducted prospectively and randomly with 50 patients treated with HSCT for the first time. The study followed patients for 22 days, seven days before, and 14 days after. During the follow-up, data such as Scored Patient-Generated Subjective Global Assessment (PG-SGA), weight changes, nausea, vomiting, diarrhea, mucositis, infection and Graft Versus Host Disease development, need for intensive care, and 12-month mortality were recorded. RH states were evaluated during treatment. RESULTS: RH developed in 78% of patients treated with HSCT. Pre-transplantation PGSGA score, frequency of vomiting, and development of infection were higher in patients with RH (p < 0.05). The patients had a mean weight loss of 2.9% after transplantation. Pre-transplantation, 88% of patients were well-nourished (PGSGA 0-3), post-transplantation, 70% of patients were moderately undernourished (PGSGA 4-8), and 30% were severely malnourished (PGSGA ≥ 9). While total protein and albumin decreased after transplantation, CRP increased (p < 0.05). According to multivariate logistic regression analysis, infection (95% CI: 1.375-61.379, p = 0.022) and pre-transplant PGSGA (95% CI: 1.035-45.454, p = 0.046) independently affect RH development. CONCLUSIONS: RH was detected at a high rate in patients treated with HSCT. Elevated risk of malnutrition before transplantation, frequency of vomiting, and development of infection were determined as factors affecting RH development.

An unexpectedly high incidence of refeeding syndrome in patients with total parenteral nutrition in a reference university hospital.

INTRODUCTION: Refeeding syndrome occurs with the reintroduction of food after an individual has undergone a substantial period of malnutrition. The development of this condition is not uncommon but is neglected in most cases. OBJECTIVE: To identify the incidence of refeeding syndrome in hospitalized patients undergoing total parenteral nutrition and factors that may be associated with this condition. MATERIALS AND METHODS: Observational retrospective and prospective cohort study. Data collection took place at the Hospital de Clínicas de Porto Alegre, from 2015 to 2018. Data was collected consecutively from patient electronic medical records. All hospitalized individuals aged 18 years or more and having a prescription for total parenteral nutrition were included in the study. Exclusion criteria included patients with diabetic ketoacidosis; receiving renal replacement therapy or chronic kidney disease with a glomerular filtration rate <30 mL/min; severe metabolic acidosis or any disease that could affect serum phosphorus levels. WinPepi software, version 11.65, was used to calculate sample size. Data analysis was performed using SPSS version 20.0. A 5% significance level was considered for the established comparisons. The project was approved by the Research Ethics Committee of Hospital de Clínicas de Porto Alegre (number 17-0313). RESULTS: Data from 97 patients was collected. The incidence of refeeding syndrome in our sample was 43.3% (n = 42). Factors positively associated with the syndrome were use of standard parenteral nutrition (p < 0.01), advancing age (mean 62.8 yr versus 55.1 yr; p = 0.013), and amount of total energy administered, which were 25.6 kcal/kg/day versus 23.6 kcal/kg/day for patients with and without refeeding syndrome, respectively (p < 0.01). CONCLUSION: The incidence of refeeding syndrome in individuals using total parenteral nutrition was high. The supply of a greater quantity of total energy in the first week of nutritional therapy, the absence of electrolytes in the parenteral nutrition solution and advancing age were all factors associated with the emergence of refeeding syndrome.

Explainable machine learning model to predict refeeding hypophosphatemia.

BACKGROUND & AIMS: Refeeding syndrome (RFS) is a disease that occurs when feeding is restarted and metabolism changes from catabolic to anabolic status. RFS can manifest variously, ranging from asymptomatic to fatal, therefore it may easily be overlooked. RFS prediction using explainable machine learning can improve diagnosis and treatment. Our study aimed to propose a machine learning model for RFS prediction, specifically refeeding hypophosphatemia, to evaluate its performance compared with conventional regression models, and to explain the machine learning classification through Shapley additive explanations (SHAP) values. METHODS: A retrospective study was conducted including 806 patients, with 2 or more days of nothing-by-mouth prescription, and with phosphate (P) level measurements within 5 days of refeeding were selected. We divided the patients into hypophosphatemia (n = 367) and non-hypophosphatemia groups (n = 439) at a P level of 0.8 mmol/L. Among the features examined within 48 h after admission, we reviewed laboratory test results and electronic medical records. Logistic, Lasso, and ridge regressions were used as conventional models, and performances were compared with our extreme gradient boosting (XGBoost) machine learning model using the area under the receiver operating characteristic curve. Our model was explained using the SHAP value. RESULTS: The areas under the curve were 0.950 (95% confidence interval: 0.924-0.975) for our XGBoost machine learning model and surpassed the performance of conventional regression models; 0.760 (0.707-0.813) for logistic regression, 0.751 (0.694-0.807) for Lasso regression, and 0.758 (0.701-0.809) for ridge regression. According to the SHAP values in the order of importance, low initial P, recent weight loss, high creatinine, diabetes mellitus with insulin use, low haemoglobin A1c, furosemide use, intensive care unit admission, blood urea nitrogen level of 19-65, parenteral nutrition, magnesium below or above the normal range, low potassium, and older age were features to predict refeeding hypophosphatemia. CONCLUSIONS: The machine learning model for predicting RFS has a substantially higher effectiveness than conventional regression methods. Creating an accurate risk assessment tool based on machine learning for early identification of patients at risk for RFS can enable careful nutrition management planning and monitoring in the intensive care unit, towards reducing the incidence of RFS-related morbidity and mortality.