Hospital malnutrition in northeast and southeast Asia: A systematic literature review

Prospective validation of the Global Leadership Initiative on Malnutrition criteria for identifying malnutrition in hospitals: A protocol and feasibility pilot study

BACKGROUND

The aim of this study was to pilot a protocol for prospective validation of the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospital patients and evaluate its feasibility and patient acceptability.

METHODS

The validation protocol follows the GLIM consortium's rigorous methodological guidance. Protocol feasibility was assessed against criteria on recruitment (≥50%) and data collection completion (≥80%); protocol acceptability was assessed via patient satisfaction surveys and interviews. Adult inpatients in a tertiary hospital underwent four nutrition assessments (each by a different assessor); two Subjective Global Assessments (SGAs) and two GLIM assessments. All five GLIM criteria were assessed with bioelectrical impedance analysis used for muscle mass. Interrater reliability, criterion validity, and predictive validity were reported to detect trends.

RESULTS

All primary feasibility criteria were met (consent rate 76%; data for GLIM criterion validity collected on 83% participants). Of predictive outcome data, 100% of hospital-related data, 82% of 6-month mortality data, and 39% of 6-month health-related quality of life data were collected. The mean (SD) age of participants was 61.0 ± 16.2 years, and 51.5% were male. The median (interquartile range) length of stay and body mass index were 7 (4-15) days and 25.6 (24.2-33.0) kg/m2, respectively. GLIM criteria diagnosed 70% of the patients as malnourished vs 55% with SGA. Most patients found the data collection acceptable with minimal burden.

CONCLUSION

The methods outlined in this rigorous GLIM validation protocol are feasible to undertake in hospitals and acceptable to patients. This paper provides practical methodological guidance for future prospective GLIM validation studies.

Factors Associated with Nutritional Risk Assessment in Critically Ill Patients Using the Malnutrition Universal Screening Tool (MUST)

Background: Malnutrition is an underdiagnosed condition that negatively affects the clinical outcomes of patients, being associated with an increased risk of adverse events, increased hospital stay, and higher mortality. Therefore, nutritional assessment is a required and necessary process in patient care. The objective of this study was to identify the factors associated with nutritional risk by applying the Malnutrition Universal Screening Tool (MUST) scale in a population of critically ill patients. Methods: This was an observational, analytical, and retrospective study. Sociodemographic, clinical, hematological, and biochemical variables and their relationship with nutritional risk and mortality were analyzed. Results: Of 630 patients, the leading cause of admission was pathologies of the circulatory and respiratory system (50%); 28.4% were at high nutritional risk; and mortality was 11.6% and associated with nutritional risk, hemoglobin, and plasma urea nitrogen. Conclusions: The presence of gastrointestinal symptoms and the type of nutritional support received during hospitalization could increase the likelihood of presenting a medium/high nutritional risk, while polycythemia reduced this probability. An associative model was found to determine nutritional risk with an adequate specificity and diagnostic validity index.

Predictors of malnutrition among older residents in Qatari long-term care facilities: a retrospective study

BACKGROUND

Malnutrition is a prevalent issue among older adults in long-term care facilities and is associated with adverse health outcomes and increased healthcare costs. Identifying the predictors of malnutrition in this population is crucial for developing effective intervention strategies. This study aimed to explore the factors contributing to malnourishment among older individuals living in long-term care facilities in Qatar.

METHODS

This cross-sectional study included 75 older adults from two long-term care facilities (Rumailah Hospital and Enaya Specialized Care Center) in Qatar. Baseline characteristics, including age, sex, length of stay, mortality, weight, body mass index, co-morbidities, and laboratory parameters, were assessed. Data were analyzed using the most recent version of the SPSS software, version 29. Predictors of malnutrition and mortality were identified using logistic regression analysis.

RESULTS

Of the 75 older individuals included in the study, 85% (64) were malnourished. The average age of the participants was 74.89 years, with a standard deviation of 10.21. Of all participants, approximately 61% (46) were males, and 39% (29) were females. Most malnourished older adults were classified as either at "moderate (29.69%)" or "severe risk (37.50%)," according to the Geriatric Nutritional Risk Index. Malnourished participants experienced a significant percentage of weight change within 3 months (14.01 ± 7.89); the only statistically significant predictor of malnutrition was the percentage of weight change within 3 months with an odds ratio (OR) of 4.8 (confidence interval [CI] 1.56-14.75) and p-value of 0.006. Statistically significant predictors of mortality were malnutrition (OR 24.84, CI 1.09-564) and age (OR 1.07, CI 1.00-1.14).

CONCLUSIONS

A significant predictor of malnutrition in older adults identified in this study was the sudden and recent change in weight, which can be employed to detect individuals at risk early and guide tailored interventions. Malnutrition is a significant predictor of mortality. Employing a multidimensional strategy to tackle malnutrition can improve outcomes for the older individuals.

Role of specific nutritional biomarkers in predicting post-operative complications among patients undergoing elective abdominal surgery

PURPOSE

Nutritional biomarkers like serum prealbumin, transferrin, retinol-binding protein (RBP), C-reactive protein (CRP), leptin, and insulin-like growth factor 1 (IGF1) have the inherent ability to diagnose undernutrition objectively before it is clinically manifested. The primary objective of the study was to evaluate the diagnostic efficacy of the specific nutritional biomarkers in predicting post-operative complications.

METHODS

A prospective cohort study was conducted in the department of surgery and included all patients aged 18 years and above who underwent elective abdominal surgery. Demographic details and clinical and surgical details were documented from the case records. Nutritional biomarker assay was done at admission. The post-operative complications occurring until discharge were graded using the Clavien-Dindo classification. The diagnostic accuracy of the specific nutritional biomarkers in predicting post-operative complications was assessed.

RESULTS

A total of 320 patients were included in the study. Of these, 126 (39.38%) developed post-operative complications. Major complications accounted for 19.05% of the complications, while 80.95% were minor complications. Patients with blood prealbumin level less than 17.287 mg/dL had a higher incidence of complications (p < 0.001). Serum transferrin levels less than 168.04 mg/dL and IGF1 levels less than < 44.51 ng/ml showed increased incidence of complications (p < 0.001). The AUC was found to be the highest for serum IGF1 with 0.7782. Sensitivity was equally high for IGF1 and serum transferrin, with 76.98% for the former and 76.19% for the latter.

CONCLUSION

Specific nutritional biomarkers, like serum prealbumin and transferrin, were efficient in predicting postoperative complications of patients before undergoing elective abdominal surgeries even after adjusting for confounders. This can facilitate preoperative corrective measures to lower the overall postoperative complications.

Risks of undernutrition and depression in hospitalized patients: A cross-sectional study

Undernutrition in hospitalized patients is a significant healthcare burden worldwide. Depression is a major global health problem characterized by symptoms such as altered mood, loss of interest and pleasure, and impairment in cognitive and physical functions. Patients hospitalized for medical conditions have a higher risk of depression than the general population. The purpose of this study was to explore the relationship between undernutrition risk and depression risk in hospitalized patients. The design of this study was an observational cross-sectional analytic. A questionnaire form created by the investigator including sociodemographic data, dietary patterns, presence of chronic diseases and anthropometric measurements, Nutritional Risk Screening and Patient Health Questionnaire-2 were applied to the patients. All quantitative data were expressed as the median and interquartile range and qualitative data were expressed as numbers and percentage. Mann-Whitney U test and Kruskal-Wallis test were used to analyze nonparametric data; Chi-square and Fisher Exact test were used to analyze qualitative data. P < .05 was considered statistically significant. A total of 308 patients who met the criteria were reached. Undernutrition was detected in 28.6% of the participants, and depression was present in 37.3%. A statistically significant relationship was found between the risk of undernutrition and the risk of depression, with individuals without a risk of depression being found to have a lower risk of undernutrition. (P < .001). The risk of undernutrition was found to increase with advancing age. Moreover, individuals with higher values for arm muscle area, arm muscle circumference, mid-upper arm circumference, triceps skinfold thickness, calf circumference, and body mass index had a lower risk of undernutrition. No relationship was found between gender and the risk of depression. However, a statistically significant relationship was observed between age and the risk of depression, indicating that older patients had a higher risk of depression. In this study, a statistically significant relationship was found between the risk of undernutrition and the risk of depression in hospitalized patients. It was observed that the risk of undernutrition was lower in individuals without risk of depression.

Assessment of the quality of inpatient meals and nutrition and dietetics service processes in select Philippine public hospitals

AIMS

The nutrition and dietetics service in Philippine public hospitals was implemented by the Department of Health in 2016 to standardise the daily allowance and nutritional content of inpatient meals. Five years later, it is timely for the Department of Health to assess the quality of inpatient meals and mandated nutrition processes in areas such as staffing, food service, and outcomes monitoring.

METHODS

A mixed-method sequential explanatory design was employed using (1) quantitative assessment through a facility survey (n = 193 hospitals) and (2) qualitative exploration of quantitative results through 6 focus group discussions (n = 36 hospitals).

RESULTS

Philippine public hospitals were unequipped with the inputs necessary to implement processes that produce high-quality meals for patients. The hospitals were unable to comply with the required minimum meal allowance (51%), nutritional content of meals (40%), and food service standards. Moreover, they had insufficient human resources and inefficient food procurement practices.

CONCLUSIONS

The quality of nutrition care and inpatient meals in Philippine public hospitals, who serve mostly people on low incomes, is a neglected problem in the Philippines. Moving forward, a systems approach involving the Department of Health, its regional offices, and hospital management is necessary to equip Philippine public hospitals with the inputs and structures necessary to provide high-quality nutrition care and inpatient meals that will facilitate patient recovery and overall patient health.

An Umbrella Review and Meta-analysis of Interventions, Excluding Enteral and Parenteral Nutrition, Initiated in the Hospital for Adults with or at Risk of Malnutrition

BACKGROUND

Multiple systematic reviews and meta-analyses (SRMAs) on various nutritional interventions in hospitalized patients with or at risk of malnutrition are available, but disagreements among findings raise questions about their validity in guiding practice.

OBJECTIVES

We conducted an umbrella review (a systematic review of systematic reviews in which all appropriate studies included in SRMAs are combined) to assess the quality of reviews, identify the types of interventions available (excluding enteral and parenteral nutrition), and re-analyze the effectiveness of interventions.

METHODS

The databases MEDLINE/PubMed, CINAHL, Embase, The Cochrane Library, and Google Scholar were searched. AMSTAR-2 was used for quality assessment and GRADE for certainty of evidence. Updated meta-analyses with risk of bias (ROB) by Cochrane ROB 2.0 were performed. Pooled effects were reported as relative risk (RR), with zero-events and publication bias adjustments, and trial sequential analysis (TSA) performed for mortality, readmissions, complications, length of stay, and quality of life.

RESULTS

A total of 66 randomized controlled trials were cited by the 19 SRMAs included in this umbrella review, and their data extracted and analyzed. Most clinical outcomes were discordant with variable effect sizes in both directions. In trials with low ROB, interventions targeting nutritional intake reduce mortality at 30 d (15 studies, n: 4156, RR: 0.72, 95% CI: 0.55, 0.94, P: 0.02, I2: 6%, Certainty: High), 6 mo (27 studies, n: 6387, RR: 0.81, 95% CI: 0.71, 0.92, P = 0.001, I2: 4%, Certainty: Moderate), and 12 mo (27 studies, n: 6387, RR: 0.80, 95% CI: 0.67, 0.95, P: 0.01, I2: 33%, Certainty: Moderate), with TSA verifying an adequate sample size and robustness of the meta-analysis.

CONCLUSION

Existing evidence is sufficient to show that nutritional intervention is effective for mortality outcomes at 30 d, 6 mo, and 12 mo. Future clinical trials should focus on the effect of nutritional interventions on other clinical outcomes.

TRIAL REGISTRATION NUMBER

The protocol is registered on PROSPERO (CRD42022341031).

The Addition of the Geriatric Nutritional Risk Index to the Prognostic Scoring Systems Did Not Improve Mortality Prediction in Trauma Patients in the Intensive Care Unit

Background

Malnutrition is prevalent among critically ill patients and has been associated with a poor prognosis. This study sought to determine whether the addition of a nutritional indicator to the various variables of prognostic scoring models can improve the prediction of mortality among trauma patients in the intensive care unit (ICU).

Methods

This study's cohort included 1,126 trauma patients hospitalized in the ICU between January 1, 2018, and December 31, 2021. Two nutritional indicators, the prognostic nutrition index (PNI), a calculation based on the serum albumin concentration and peripheral blood lymphocyte count, and the geriatric nutritional risk index (GNRI), a calculation based on the serum albumin concentration and the ratio of current body weight to ideal body weight, were examined for their association with the mortality outcome. The significant nutritional indicator was served as an additional variable in prognostic scoring models of the Trauma and Injury Severity Score (TRISS), the Acute Physiology and Chronic Health Evaluation (APACHE II), and the mortality prediction models (MPM II) at admission, 24, 48, and 72 h in the mortality outcome prediction. The predictive performance was determined by the area under the receiver operating characteristic curve.

Results

Multivariate logistic regression revealed that GNRI (OR, 0.97; 95% CI, 0.96-0.99; p=0.007), but not PNI (OR, 0.99; 95% CI, 0.97-1.02; p=0.518), was independent risk factor for mortality. However, none of these predictive scoring models showed a significant improvement in prediction when the GNRI variable is incorporated.

Conclusions

The addition of GNRI as a variable to the prognostic scoring models did not significantly enhance the performance of the predictors.

Exploring the practice of nutritional support during hospitalization across physicians, dietitians, and pharmacists based in Saudi Arabia

Background

Nutritional support has a pivotal role in preventing and treating malnutrition. Recognizing the gaps in nutritional support practice can aid the development of tailored nutritional protocols. Therefore, this study aimed to assess the current practices, attitudes, and perceptions related to nutritional support for hospitalized patients in one of the largest Middle Eastern countries.

Methods

A cross-sectional study was conducted among different healthcare professionals currently working in hospitals in Saudi Arabia and involved in nutritional support practice. Data were collected using convenient sample via a self-administered web-based questionnaire.

Results

A total of 114 participants were included in this study. The majority were dietitians (54%), followed by physicians (33%) and pharmacists (12%), and were from the western region (71.9%). Various attitudes in many practices were observed among the participants. Only 44.7% of the participants had a formal nutritional support team. The mean confidence level of all respondents was significantly higher for enteral nutrition practice (7.7 ± 2.3) than for parenteral nutrition practice (6.1 ± 2.5) (p < 0.01). The confidence level for enteral nutrition practice was significantly influenced by nutritional qualification (β = 0.202, p < 0.05), type of healthcare facility (β = 0.210, p < 0.05), profession (β = -0.308, p < 0.01), and years of experience (β = 0.220, p < 0.05).

Conclusion

This study comprehensively assessed various aspects of nutritional support practice in Saudi Arabia. Healthcare practice of nutritional support should be guided by evidence-based guidelines. Professional qualification and training in nutritional support are essential for promoting practice in hospitals.

Implementation of an electronic solution to improve malnutrition identification and support clinical best practice

BACKGROUND

Routine malnutrition risk screening of patients is critical for optimal care and comprises part of the National Australian Hospital Standards. Identification of malnutrition also ensures reimbursement for hospitals to adequately treat these high-risk patients. However, timely, accurate screening, assessment and coding of malnutrition remains suboptimal. The present study aimed to investigate manual and digital interventions to overcome barriers to malnutrition identification for improvements in the hospital setting.

METHODS

Retrospective reporting on malnutrition identification processes was conducted through two stages: (1) manual auditing intervention and (2) development of a digital solution - the electronic malnutrition management solution (eMS). Repeated process audits were completed at approximately 6-monthly intervals through both stages between 2016 and 2019 and the results were analysed. In Stage 2, time investment and staff adoption of the digital solution were measured.

RESULTS

Overall, the combined effect of both regular auditing and use of the eMS resulted in statistically significant improvements across all six key measures: patients identified (97%-100%; p < 0.001), screened (68%-95%; p < 0.001), screened within 24 h (51%-89%; p < 0.001), assessed (72%-95%; p < 0.001), assessed within 24 h (66%-93%; p < 0.001) and coded (81%-100%; p = 0.017). The eMS demonstrated a reduction in screening time by over 60% with user adoption 100%. Data analytics enabled automated, real-time auditing with a 95% reduction in time taken to audit.

CONCLUSIONS

A single digital solution for management of malnutrition and automation of auditing demonstrated significant improvements where manual or combinations of manual and electronic systems continue to fall short.

Effectiveness of Dietary Counselling With or Without Nutritional Supplementation in Hospitalised Patients who are Malnourished or at Risk of Malnutrition - A Systematic Review and Meta-Analysis

Background

Nutrition support is associated with improved survival and nonelective hospital readmission rates among malnourished medical inpatients; however, limited evidence supporting dietary counseling is available. We intend to determine the effect of dietary counseling with or without oral nutrition supplementation (ONS), compared with standard care, on hospitalized adults who are malnourished or at risk of malnutrition.

Methods

We searched MEDLINE/PubMed, CINAHL, Embase, Scopus, The Cochrane Library, and Google Scholar for studies listed from January 1, 2011, to August 31, 2021. Meta‐analysis was performed to obtain pooled risk ratios (RRs) and 95% CIs to estimate the effect. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was used to assess the certainty of the evidence.

Results

Sixteen studies were identified. Compared with standard care, dietary counseling with or without ONS probably does not reduce inpatient rates of 30‐day mortality (RR = 1.24; 0.60–2.55; I² = 45%; P = 0.56; moderate certainty), slightly reduces 6‐month mortality (RR = 0.83; 0.69–1.00; I² = 16%; P = 0.06; high certainty), reduces complications (RR = 0.85; 0.73–0.98; I² = 0%; P = 0.03; high certainty), and may slightly reduce readmission (RR = 0.83; 0.66–1.03; I² = 55%; P = 0.10; low certainty) but may not reduce length of stay (mean difference: −0.75 days; −1.66‐0.17; I² = 70%; P = 0.11; low certainty). Intervention may result in slight improvements in nutrition status/intake and weight/body mass index (low certainty).

Conclusions

There is an increase in the certainty of evidence regarding the positive impact of dietary counseling on outcomes. Future studies should standardize and provide details/frequencies of counseling methods and ONS adherence to determine dietary counseling effectiveness.

Phase Angle Is a Stronger Predictor of Hospital Outcome than Subjective Global Assessment-Results from the Prospective Dessau Hospital Malnutrition Study

This prospective cohort study of 16,943 consecutive patients compared phase angle (PhA, foot-to-hand at 50 kHz) and subjective global assessment (SGA) to predict outcomes length of hospital stay (LOS) and in-hospital mortality in patients at risk of malnutrition (NRS-2002 ≥ 3). In 1505 patients, the independent effects on LOS were determined by competing risk analysis and on mortality by logistic regression. In model I, including influence factors age, sex, BMI, and diagnoses, malnourished (SGA B and C) patients had a lower chance for a regular discharge (HR 0.74; 95%CI 0.69−0.79) and an increased risk of mortality (OR 2.87; 95%CI 1.38−5.94). The association of SGA and outcomes regular discharge and mortality was completely abrogated when PhA was added (model II). Low PhA reduced the chance of a regular discharge by 53% in patients with a PhA ≤ 3° (HR 0.47; 95%CI 0.39−0.56) as compared to PhA > 5°. Mortality was reduced by 56% for each 1° of PhA (OR 0.44; 95%CI 0.32−0.61). Even when CRP was added in model III, PhA ≤ 3° was associated with a 41% lower chance for a regular discharge (HR 0.59; 95%CI 0.48−0.72). In patients at risk of malnutrition, the objective measure PhA was a stronger predictor of LOS and mortality than SGA.

The association between pre-operative malnutrition and post-amputation clinical outcomes: A systematic review

Background:

In patients who underwent lower limb amputation (LLA), the prevalence of malnutrition and its association with clinical outcomes are unclear.

Objectives:

This systematic review aims to identify literature and summarise existing information on (1) the prevalence of malnutrition in the patients with LLA and (2) the association between pre-operative nutritional status and post-surgery clinical outcomes in patients who require amputation.

Methods:

A search was conducted in four electronic databases (Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, CINAHL and Scopus) to identify eligible studies. The search strategy was based on keywords – amputation, malnutrition and undernutrition. Article were included regardless of the study design; and if they were written in English; included adult patients with lower limb or foot amputation; and performed pre-amputation nutrition assessments.

Results:

Seven articles met the eligibility criteria. Malnutrition was assessed by biochemistry and/or anthropometry – none of which are validated nutrition assessment tools. Nevertheless, abnormal biochemistry and/or anthropometry results were associated with delayed wound healing, complications and failed amputation compared to normal ranges. The association between abnormal biochemistry and/or anthropometry parameters and mortality was less consistent. Only one study used a validated nutrition screen tool and found half of the population with LLA were at risk of malnutrition, but no association was reported.

Conclusions:

The association between malnutrition and clinical outcomes in patients who underwent LLA remains unclear as all the eligible studies that investigated association used unvalidated nutrition assessment tools. There is an urgent need to address this knowledge gap in future research.

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

Malnutrition in hospitalized patients heavily affects several clinical outcomes. The prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to 90% of old populations. However, malnutrition frequently remains underdiagnosed and undertreated in the hospital. Thus, an accurate screening to identify patients at risk of malnutrition or malnourishment is determinant to elaborate a personal nutritional intervention. Several definitions of malnutrition were proposed in the last years, affecting the real frequency of nutritional disorders and the timing of intervention. Diagnosis of malnutrition needs a complete nutritional assessment, which is often challenging to perform during a hospital stay. For this purpose, various screening tools were proposed, allowing patients to be stratified according to the risk of malnutrition. The present review aims to summarize the actual evidence in terms of diagnosis, association with clinical outcomes, and management of malnutrition in a hospital setting.

Combined prognostic value of malnutrition using GLIM criteria and renal insufficiency in elderly heart failure

AIMS

We aimed to investigate the prognostic impact of malnutrition, defined by the Global Leadership Initiative on Malnutrition (GLIM) criteria, stratified by renal function in hospitalized patients with acute decompensated heart failure (HF).

METHODS AND RESULTS

In this retrospective study, 314 patients who were hospitalized for acute decompensated HF from August 2019 to October 2020 were enrolled. We evaluated malnutrition using the GLIM criteria during the time of admission. The primary outcome was 90-day all-cause mortality. The median patient age was 82 years, and 90-day mortality was 14.0%. In total, 76 (24.2%) patients were malnourished according to the GLIM criteria. Malnutrition defined by the GLIM criteria [adjusted hazard ratio (HR) 1.41, 95% confidence interval (CI) 1.02-1.91, P = 0.036] and renal insufficiency [adjusted HR 2.59, 95% CI 1.07-6.28, P = 0.035 for estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m2 vs. ≥60 mL/min/1.73 m2 ] were identified as independent predictors of 90-day mortality after adjustment for age, systolic blood pressure, and serum sodium level. In the combined setting of both variables, patients with malnutrition and eGFR < 30 mL/min/1.73 m2 had a markedly higher risk of 90-day mortality compared with those without malnutrition and eGFR ≥ 60 mL/min/1.73 m2 (adjusted HR 3.92, 95% CI 1.10-13.9, P = 0.035). Adding both eGFR and malnutrition, defined by the GLIM criteria, to the baseline model with established risk factors improved both net reclassification and integrated discrimination greater than that of the baseline model (0.606, P < 0.001 and 0.050, P = 0.002, respectively), even when compared with the model with malnutrition by the GLIM alone (0.463, P = 0.002 and 0.034, P < 0.001, respectively).

CONCLUSIONS

Nutrition screening using the GLIM criteria stratified by renal function could clearly predict 90-day mortality in hospitalized patients with acute decompensated HF.

Comparison of Preoperative Nutritional Indexes for Outcomes after Primary Esophageal Surgery for Esophageal Squamous Cell Carcinoma

BACKGROUND

This study aimed to compare the controlling nutritional status (CONUT) score, prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) for predicting postoperative outcomes in patients with esophageal squamous cell carcinoma undergoing esophagectomy.

METHODS

We retrospectively reviewed the data of 1265 consecutive patients who underwent elective esophageal surgery. The patients were classified into no risk, low-risk, moderate-risk, and high-risk groups based on nutritional scores.

RESULTS

The moderate-risk (hazard ratio [HR]: 1.55, 95% confidence interval [CI]: 1.24-1.92, p < 0.001 in CONUT; HR: 1.61, 95% CI: 1.22-2.12, p = 0.001 in GNRI; HR: 1.65, 95% CI: 1.20-2.26, p = 0.002 in PNI) and high-risk groups (HR: 1.91, 95% CI: 1.47-2.48, p < 0.001 in CONUT; HR: 2.54, 95% CI: 1.64-3.93, p < 0.001 in GNRI; HR: 2.32, 95% CI: 1.77-3.06, p < 0.001 in PNI) exhibited significantly worse 5-year overall survival (OS) compared with the no-risk group. As the nutritional status worsened, the trend in the OS rates decreased (p for trend in all indexes < 0.05).

CONCLUSIONS

Malnutrition, evaluated by any of three nutritional indexes, was an independent prognostic factor for postoperative survival.

Global Leadership Initiative on Malnutrition criteria with different muscle assessments including muscle ultrasound with hospitalized internal medicine patients

BACKGROUND

The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission.

METHODS

A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion.

RESULTS

The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS).

CONCLUSIONS

Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.

Cost savings associated with nutritional support in medical inpatients: an economic model based on data from a systematic review of randomised trials

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.