Background and aims Nutritional support improves clinical outcomes during hospitalisation as well as after discharge. Recently, a systematic review of 27 randomised, controlled trials showed that nutritional support was associated with lower rates of hospital readmissions and improved survival. In the present economic modelling study, we sought to determine whether in-hospital nutritional support would also return economic benefits. Methods The current economic model applied cost estimates to the outcome results from our recent systematic review of hospitalised patients. In the underlying meta-analysis, a total of 27 trials (n=6803 patients) were included. To calculate the economic impact of nutritional support, a Markov model was developed using transitions between relevant health states. Costs were estimated accounting for length of stay in a general hospital ward, hospital-acquired infections, readmissions and nutritional support. Six-month mortality was also considered. The estimated daily per-patient cost for in-hospital nutrition was US$6.23. Results Overall costs of care within the model timeframe of 6 months averaged US$63 227 per patient in the intervention group versus US$66 045 in the control group, which corresponds to per patient cost savings of US$2818. These cost savings were mainly due to reduced infection rate and shorter lengths of stay. We also calculated the costs to prevent a hospital-acquired infection and a non-elective readmission, that is, US$820 and US$733, respectively. The incremental cost per life-day gained was −US$1149 with 2.53 additional days. The sensitivity analyses for cost per quality-adjusted life day provided support for the original findings. Conclusions For medical inpatients who are malnourished or at nutritional risk, our findings showed that in-hospital nutritional support is a cost-effective way to reduce risk for readmissions, lower the frequency of hospital-associated infections, and improve survival rates.

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) drug-induced weight loss is associated with fat mass reduction but can also lead to nutritional deficiencies and loss of muscle. We quantified nutritional deficiencies in adults who had undergone GLP-1RA treatment. This was an observational, retrospective analysis of de-identified patient-level claims data from 461,382 adults newly prescribed GLP-1RAs between 7/2017 and 12/2021 with no prior diagnoses of nutritional deficiencies. While most patients had type 2 diabetes (T2DM), the population also included individuals with type 1 diabetes (T1DM), prediabetes, or no recorded diabetes diagnosis. A secondary propensity-matched analysis compared GLP-1RA users with non-users. The matched comparator cohort consisted of adults with type 2 diabetes treated with metformin but not prescribed GLP-1RAs, whereas GLP-1RA users were treated with both metformin and GLP-1RA. Nutritional deficiencies were assessed at 6 and 12 months after GLP-1RA initiation. Nutritional deficiency diagnoses or complications were compared between patients with or without a dietitian visit within a 6-months of treatment initiation. Patients were mainly female (56.3 %), mean age (±SD) 52.9 (±11.7) years, with obesity (44.9 %) or overweight (5.6 %); type 2 diabetes (80.5 %) and hypertension (66.3 %) were the most common comorbidities. Nutritional deficiencies were diagnosed in 12.7 % of the patients within 6 months after GLP-1RA initiation and in 22.4 % within 12 months. Vitamin D deficiency was most common, having an incidence of 7.5 % and 13.6 % within 6 and 12 months, respectively. Recorded nutrient deficiencies or deficiency-related complications were more likely among patients with a dietitian visit within the first 6 months of GLP-1RA initiation compared to patients without a dietitian visit. Over 20 % had nutritional deficiencies diagnosed within one-year of starting GLP-1RA treatment. These findings highlight the importance of nutritional screening and diagnosis of deficiencies and inclusion of physician nutrition specialists, dietitians, and other nutrition care specialists in patient care.

Malnutrition and depression are of important concern among older adults. We investigated the association between malnutrition and depression among community-dwelling older Chinese adults and how both affect health care costs. Data from 4916 older adults (age ≥60 years) collected as part of 2013-Wave II China Health and Retirement Longitudinal Study (CHARLS) survey were analyzed. Measures of body mass index and weight loss were used as indicators of malnutrition. Malnourished subjects were 31% more likely to be depressed than their non-malnourished counterparts (odds ratio = 1.311, P < .1). Health care–related cost was ¥591.8 higher for malnourished older adult per year compared to a non-malnourished counterpart (P < .1), thus confirming that incidence of depression coupled with malnutrition significantly increases health care–related costs. These results highlight the importance of malnutrition and depression screening and treatment for older Chinese community-dwelling adults, and the importance of community-based nutrition-specific programs that could address the needs of the affected populations.

Across the globe, the prevalence of hospital malnutrition varies greatly depending on the population served and on local socioeconomic conditions. While malnutrition is widely recognized to worsen patient outcomes and add financial burdens to healthcare systems, recent data on hospital malnutrition in Latin America are limited. Our study objectives were: (1) to quantify the prevalence of malnutrition risk in Latin American hospital wards, and (2) to explore associations between nutritional risk status, in-hospital food intake, and health outcomes. On nutritionDay (nDay), a specific day every year, hospital wards worldwide can participate in a one-day, cross-sectional audit. We analyzed nDay data collected in ten Latin American countries from 2009 to 2015, including demographic and nutrition-related findings for adult patients (≥18 years) from 582 hospital wards/units. Based on patient-reported responses to questions related to the Malnutrition Screening Tool, we determined the prevalence of malnutrition risk (MST score ≥2). We also summarized patient-reported food intake on nDay, and we analyzed staff-collected outcome data at 30 days post-nDay. The prevalence of malnutrition risk in the Latin American nDay study population (N = 14,515) was 39.6%. More than 50% of studied patients ate one-half or less of their hospital meal, ate less than normal in the week before nDay, or experienced weight loss in the prior three months. The hospital-mortality hazard ratio was 3.63 (95% CI [2.71, 4.88]; P < 0.001) for patients eating one-quarter of their meal (compared with those who ate the full meal), increasing to 6.6 (95% CI [5.02, 8.7]; P < 0.0001) for patients who ate none of the food offered. Based on compilation of nDay surveys throughout Latin America, 2 of every 5 hospitalized patients were at risk for malnutrition. The associated risk for hospital mortality was up to 6-fold higher among patients who ate little or none of their meal on nDay. This high prevalence showed scant improvement over rates two decades ago-a compelling rationale for new focus on nutrition education and training of professionals in acute care settings.

Purpose: Little is known about the economic burden that malnutrition or its risk imposes on community-dwelling older adults. Using cross-sectional and longitudinal analyses, we assessed the impact of malnutrition risk on healthcare utilization and costs in a cohort of older adults living in Spanish community. Patients and Methods: Data from 1660 older (range 66– 98 years), community-living adults participating in the Toledo Study on Healthy Ageing, waves 2 (year 2011– 2013) and 3 (year 2015), were analyzed. Nutritional status categories were defined according to the Global Leadership Initiative on Malnutrition (GLIM) criteria, using a two-step approach. First, screening for malnutrition risk. Once positive, individuals were classified as malnourished according to some phenotypic (body mass index, grip strength, and unintentional weight loss) and etiologic (disease burden/inflammation and reduced food intake or assimilation) criteria. Outcomes assessed included healthcare resources (hospital admissions, number of hospitalizations, length of hospital stay per hospitalization, and number of medications). Results: Fifteen percent of the population was found to be at risk of malnutrition, while 12.6% was malnourished. Overall, patients from both groups were older, had lower functional status, and had more comorbidities compared to well-nourished counterparts (p< 0.05). Results of our cross-sectional analysis showed that being at-risk/malnourished was associated with greater medication utilization, higher rates of hospital admission and longer stays, and higher hospitalization costs. However, when adjusting for covariates, malnutrition/risk was associated only with higher hospitalization costs (range: 11– 13%). Longitudinal analysis results indicated that malnutrition/risk was significantly associated with more frequent hospitalizations, longer lengths of stay, higher hospitalization costs, and polypharmacy at follow-up. Conclusion: Malnutrition or its risk, found in over one of four older adults in the Toledo community, was associated with higher healthcare resource use and increased costs. Such findings suggest that malnutrition risk-screening for older adults, and provision of nutrition counseling and care when needed, hold potential to improve their health and to lower costs of care in the Spanish healthcare system.