Nutrition in Clinical Practice最新文献

Delivering adequate nutrition to preterm and sick neonates is critical for growth. Infants in the neonatal intensive care unit (NICU) require additional calories to supplement feedings for higher metabolic demands. Traditionally, clinicians enter free-text diet orders for a milk technician to formulate recipes, and dietitians manually calculate nutrition components to monitor growth. This daily process is complex and labor intensive with potential for error. Our goal was to develop an electronic health record (EHR)-integrated solution for entering feeding orders with automated nutrition calculations and mixing instructions. The EHR-integrated automated diet program (ADP) was created and implemented at a 52-bed level III academic NICU. The configuration of the parenteral nutrition orderable item within the EHR was adapted to generate personalized milk mixing recipes. Caloric, macronutrient, and micronutrient constituents were automatically calculated and displayed. To enhance administration safety, handwritten milk bottle patient labels were substituted with electronically generated and scannable patient labels. The program was further enhanced by calculating fortifier powder displacement factors to improve mixing precision. Order entry was optimized to allow for more complex mixing recipes and include a preference list of frequently ordered feeds. The EHR-ADP's safeguarded features allowed for catching multiple near-missed feeding administration errors. The NICU preterm neonate cohort had an average of 6-day decrease (P = 0.01) in the length of stay after implementation while maintaining the same weight gain velocity. The EHR-ADP may improve safety and efficiency; further improvements and wider utilization are needed to demonstrate the growth benefits of personalized nutrition.

Healthcare systems and patients today are challenged by high and ever-escalating costs for care. With increasing costs and declining affordability, public and private healthcare payers are all seeking value in care. As the evidence regarding health benefits of nutrition products and interventional nutrition care is increasing, cost-effectiveness of these interventions needs consideration. Health economics and outcomes research (HEOR) examines the value of healthcare treatments, including nutrition interventions. This review summarizes how HEOR tools are used to measure health impact, that is, the burden of illness, the effect of interventions on the illness, and the value of the nutrition intervention in terms of health and cost outcomes. How studies are designed to compile data for economic analyses is briefly discussed. Then, studies that use HEOR methods to measure efficacy, cost-effectiveness, and cost savings from nutrition care across the healthcare spectrum-from hospitals to nursing homes and rehabilitation centers, to care for community-living individuals, with an emphasis on individuals who are older or experiencing chronic health issues-are reviewed. Overall, findings from HEOR studies over the past decade build considerable evidence to show that nutrition care improves the health of at-risk or malnourished patients effectively and at a reasonable cost. As such, the evidence suggests that nutrition care brings value to healthcare across multiple settings and populations.

Background: The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological framework for nutrition diagnosis. However, the applicability of the GLIM criteria in patients with acute abdomen has not been validated.

Methods: This is a cross-sectional study conducted on patients diagnosed with acute abdomen and admitted to a tertiary hospital in southwest China. Nutrition risk screening was conducted using the Nutrition Risk Screening 2002, and patients identified with nutrition risk were assessed for malnutrition based on the GLIM criteria.

Results: We enrolled a total of 440 patients with acute abdomen. The top three diagnoses of acute abdomen were intestinal obstruction (47.2%), acute appendicitis (23.1%), and digestive system perforation (8.8%). The prevalence of nutrition risk was 46.5%, with a malnutrition rate of 32.5% based on the GLIM. Patients with malnutrition according to the GLIM showed significantly higher rates of intensive care unit (ICU) admission (13.28% vs 7.07%; P = 0.003), increased hospitalization costs (median: 3315USD [interquartile range (IQR): 978-7852] vs 1641 [IQR: 816-3523] USD; P < 0.001), and longer length of hospital stay (LOS) (median: 8 [IQR: 5-13] vs 6 [IQR: 4-8] days; P < 0.001) compared with patients without malnutrition. Multivariate analysis indicated that GLIM-defined malnutrition was an independent predictor of hospitalization costs, and severe malnutrition was an independent predictor of ICU admission.

Conclusion: GLIM criteria are applicable for diagnosing malnutrition in patients with acute abdomen. The prevalence of malnutrition was high in patients with acute abdomen. Malnutrition was associated with increased ICU admission and LOS, along with higher economic burden.

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.

Background: Evidence-based guidelines (EBGs) in the nutrition management of advanced liver disease and enhanced recovery after surgery recommendations state that normal diet should recommence 12-24 h following liver transplantation. This study aimed to compare postoperative nutrition practices to guideline recommendations, explore clinician perceptions regarding feeding after transplant surgery, and implement and evaluate strategies to improve postoperative nutrition practices.

Methods: A pre-post multimethod implementation study was undertaken, guided by the knowledge-to-action framework. A retrospective chart audit of postoperative dietary practice and semistructured interviews with clinicians were undertaken. Implementation strategies were informed by the Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change matching tool and then evaluated.

Results: An evidence-practice gap was identified, with the median day to initiation of nutrition (free-fluid or full diet) on postoperative day (POD) 2 and only 25% of patients aligning with the EBGs. Clinician interviews identified belief in the importance of nutrition, with variation in surgical practice in relation to early nutrition, competing clinical priorities, and vulnerabilities in communication contributing to delays in returning to feeding. An endorsed postoperative nutrition protocol was implemented along with a suite of theory- and stakeholder-informed intervention strategies. Following implementation, the median time to initiate nutrition reduced to POD1 and alignment with EBGs improved to 60%.

Conclusion: This study used implementation frameworks and strategies to understand, implement, and improve early feeding practices in line with EBGs after liver transplant. Ongoing sustainability of practice change as well as the impact on clinical outcomes have yet to be determined.

Background: Hospitalized individuals present high rates of malnutrition and loss of muscle mass (MM). Imaging techniques for assessing MM are expensive and scarcely available in hospital practice. The Global Leadership Initiative on Malnutrition (GLIM) proposed a framework for malnutrition diagnosis that includes simple measurements to assess MM, such as calf circumference (CC) and mid-upper arm circumference (MUAC). This study aimed to analyze the validity of the GLIM criteria with CC and MUAC for malnutrition diagnosis, using Subjective Global Assessment (SGA) as the reference standard, in inpatients.

Methods: A prospective cohort study was conducted on 453 inpatient adults in a university hospital. The presence of malnutrition was assessed within 48 h of hospital admission using SGA and GLIM criteria using CC and MUAC as phenotypic criteria for malnutrition diagnosis. Accuracy, agreement tests, and logistic regression analysis adjusted for confounders were performed to test the validity of the GLIM criteria for malnutrition diagnosis.

Results: The patients were aged 59 (46-68) years, 51.4% were male, and 67.8% had elective surgery. Compared with SGA, the GLIM criteria using the two MM assessment measures showed good accuracy (area under the curve > 0.80) and substantial agreement (κ > 0.60) for diagnosing malnutrition. The highest sensitivity was obtained with GLIM_CC (89%), whereas GLIM_MUAC showed high specificity (>90%). Also, malnutrition identified by GLIM_CC and GLIM_MUAC was significantly associated with prolonged hospitalization and in-hospital death.

Conclusion: In the absence of imaging techniques to assess MM, the use of CC and MUAC measurements from the GLIM criteria demonstrated satisfactory validity for diagnosing malnutrition in hospitalized patients.