Association Between AND‐ASPEN Malnutrition Criteria and Hospital Mortality in Critically Ill Trauma Patients: A Prospective Cohort Study

2024 Peggi Guenter excellence in clinical practice lectureship: From curiosity and eagerness to passion: Moving the malnutrition needle

Most every new clinician practicing in nutrition support enters their practice environment with wide open eyes and a sense of curiosity as they encounter new patient and clinical experiences. As clinicians expand their expertise, they often identify challenges they are eager to address. Eagerness turns to passion as the desire to affect change grows. Malnutrition has sparked curiosity and interest in many, and, in some, it has become a passion. As a result, many major achievements have occurred both in the United States and globally that have the capability of moving the needle favorably to achieve better outcomes for our patients. This lecture will highlight how curiosity, eagerness, and passion have led to successes in addressing aspects of malnutrition. These successes offer the structure to continue our efforts to move the needle forward. Our patients deserve nothing more.

The Association Between Malnutrition and High Protein Treatment on Outcomes in Critically Ill Patients: A Post Hoc Analysis of the EFFORT Protein Randomized Trial

BACKGROUND

Preexisting malnutrition in critically ill patients is associated with adverse clinical outcomes. Malnutrition can be diagnosed with the Global Leadership Initiative on Malnutrition using parameters such as weight loss, muscle wasting, and BMI. International critical care nutrition guidelines recommend high protein treatment to improve clinical outcomes in critically ill patients diagnosed with preexisting malnutrition. However, this recommendation is based on expert opinion.

RESEARCH QUESTION

In critically ill patients, what is the association between preexisting malnutrition and time to discharge alive (TTDA), and does high protein treatment modify this association?

STUDY DESIGN AND METHODS

This multicenter randomized controlled trial involving 16 countries was designed to investigate the effects of high vs usual protein treatment in 1,301 critically ill patients. The primary outcome was TTDA. Multivariable regression was used to identify if preexisting malnutrition was associated with TTDA and if protein delivery modified their association.

RESULTS

The prevalence of preexisting malnutrition was 43.8%, and the cumulative incidence of live hospital discharge by day 60 was 41.2% vs 52.9% in the groups with and without preexisting malnutrition, respectively. The average protein delivery in the high vs usual treatment groups was 1.6 g/kg per day vs 0.9 g/kg per day. Preexisting malnutrition was independently associated with slower TTDA (adjusted hazard ratio, 0.81; 95% CI, 0.67-0.98). However, high protein treatment in patients with and without preexisting malnutrition was not associated with TTDA (adjusted hazard ratios of 0.84 [95% CI, 0.63-1.11] and 0.97 [95% CI, 0.77-1.21]). Furthermore, no effect modification was observed (ratio of adjusted hazard ratio, 0.84; 95% CI, 0.58-1.20).

INTERPRETATION

Malnutrition was associated with slower TTDA, but high protein treatment did not modify the association. These findings challenge current international critical care nutrition guidelines.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov; No.: NCT03160547; URL: www.

CLINICALTRIALS

gov.

Predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators to diagnose malnutrition tool in hospitalized adults: a cohort study

BACKGROUND

The lack of a widely accepted, broadly validated tool for diagnosing malnutrition in hospitalized patients limits the ability to assess the integral role of nutrition as an input and outcome of health, disease, and treatment.

OBJECTIVES

This study aimed to evaluate the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition (ASPEN) indicators to diagnose malnutrition (AAIM) tool and determine if it can be simplified.

METHODS

A prospective cohort study was conducted from August 2019 to September 2022 with 32 hospitals in United States. At baseline, 290 adult patients were evaluated for a diagnosis of malnutrition using the AAIM tool, which assesses weight loss, inadequate energy intake, subcutaneous fat and muscle loss, edema, and hand grip strength. Healthcare outcomes were extracted from the medical record: composite incidence of emergency department (ED) visits and hospital readmissions within 90 d postdischarge; length of hospital stay (LOS); and Medicare Severity Disease Related Group (MS-DRG) relative weight (i.e., healthcare resource utilization). We used multilevel, multivariable negative binomial or generalized linear regression models to evaluate relationships between malnutrition diagnosis and healthcare outcomes.

RESULTS

After adjusting for disease severity and acuity and sociodemographic characteristics, individuals diagnosed with severe malnutrition had a higher incidence rate of ED visits and hospital readmissions (incidence rate ratio: 1.89; 95% CI: 1.14, 3.13; P = 0.01), and individuals diagnosed with moderate malnutrition had a 25.2% longer LOS (95% CI: 2.0%, 53.7%; P = 0.03) and 15.1% greater healthcare resource utilization (95% CI: 1.6%, 31.9%; P = 0.03) compared with individuals with no malnutrition diagnosis. Observed relationships remained consistent when only considering malnutrition diagnoses supported by at least 2 of these indicators: weight loss, subcutaneous fat loss, muscle wasting, and inadequate energy intake.

CONCLUSIONS

Findings from this multihospital study confirm the predictive validity of the original or simplified AAIM tool and support its routine use for hospitalized adult patients. This trial was registered at clinicaltrials.gov as NCT03928548 (https://classic.

CLINICALTRIALS

gov/ct2/show/NCT03928548).

Remote nutrition care during the first wave of COVID-19 pandemic: Did it impact nutrition therapy goals?

BACKGROUND AND AIMS

Nutrition societies recommended remote hospital nutrition care during the coronavirus disease 2019 (COVID-19) pandemic. However, the pandemic's impact on nutrition care quality is unknown. We aimed to evaluate the association between remote nutrition care during the first COVID-19 wave and the time to start and achieve the nutrition therapy (NT) goals of critically ill patients.

METHODS

A cohort study was conducted in an intensive care unit (ICU) that assisted patients with COVID-19 between May 2020 and April 2021. The remote nutrition care lasted approximately 6 months, and dietitians prescribed the nutrition care based on medical records and daily telephone contact with nurses who were in direct contact with patients. Data were retrospectively collected, patients were grouped according to the nutrition care delivered (remote or in person), and we compared the time to start NT and achieve the nutrition goals.

RESULTS

One hundred fifty-eight patients (61.5 ± 14.8 years, 57% male) were evaluated, and 54.4% received remote nutrition care. The median time to start NT was 1 (1-3) day and to achieve the nutrition goals was 4 (3-6) days for both groups. The percentage of energy and protein prescribed on day 7 of the ICU stay concerning the requirements did not differ between patients with remote and patients with in-person nutrition care [95.5% ± 20.4% × 92.1% ± 26.4% (energy) and 92.9% ± 21.9% × 86.9% ± 29.2% (protein); P > 0.05 for both analyses].

CONCLUSION

Remote nutrition care in patients critically ill with COVID-19 did not impact the time to start and achieve the NT goals.

Modified Nutrition Risk in Critically ill is an effective nutrition risk screening tool in severely burned patients, compared with Nutrition Risk Screening 2002

Objective

The present study aimed to evaluate the value of Modified Nutrition Risk in Critically ill (mNUTRIC) and Nutrition Risk Screening 2002 (NRS2002) in the prognosis of severely burned patients.

Methods

The retrospective cohort study used medical data of severely burned patients admitted to the burn center of Shanghai Ruijin Hospital between January 2015 and September 2021. Demographics, clinical characteristics, laboratory nutritional indicators, mNUTRIC score and NRS2002 score were collected and analyzed in evaluation the value of two nutrition risk screening tools. Spearman correlation analysis was carried out to show the correlation between variables. The area under receiver operating characteristic (ROC) curve was used to assess the ability of mNUTRIC and NRS2002 to predict mortality. Kaplan-Meier survival curves and log-rank tests were conducted to compare the overall survival (OS). Multivariate Cox proportional hazard regression model was used to identify risk factors for 28-day mortality of severely burned patients.

Results

A total of 429 adult patients with burn area larger than 30% total body surface area (TBSA) were included in this study. Incidence of nutrition risk was detected in 52.21% by mNUTRIC and 20.51% by NRS2002. However, mNUTRIC was superior to NRS2002 in predicting 28-day mortality (area under ROC curve: 0.795 vs. 0.726). Multivariate Cox regression analysis showed that high mNUTRIC [hazard ratio (HR) = 4.265, 95% CI = 1.469-12.380, P = 0.008] and TBSA (HR = 1.056, 95% CI = 1.033-1.079, P < 0.001) were independent predictors for 28-day mortality. After adjusting for covariates, high NRS2002 was not associated with 28-day mortality (P = 0.367).

Conclusion

The present study illustrated the effectiveness of mNUTRIC as nutrition risk screening tool among severely burned patients. Early identification of nutrition risk may help to maximize benefits of nutritional therapy by providing more aggressive nutritional therapy for patients at nutrition risk.

Prevalence and impact of malnutrition on length of stay, readmission, and discharge destination

BACKGROUND

Studies indicate one in three hospitalized patients are malnourished upon admission, however, the documented malnutrition rate in acute care hospitals is often lower. This study measured prevalence of malnutrition upon admission and correlated the relationship among malnutrition status, length of stay (LOS), discharge disposition, and readmission rate.

MATERIALS AND METHODS

A prospective observational cohort study was performed across nine tertiary care hospitals in Houston, Texas. Registered Dietitians screened patients age ≥18 within 24 hours of admission for 2 consecutive days per hospital. Malnourished patients were diagnosed using a modified version of 2012 Consensus Statement from the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition. Data collected included demographics, LOS, discharge disposition, and 30-day re-admission status.

RESULTS

In 416 patients, 31.7% were malnourished upon admission. Malnourished patients were significantly older (67.8 vs 57.6 years, P<.001) and had a lower BMI (26.2 vs 32.4 kg/m² , P<.001) than nonmalnourished patients. Malnourished patients had higher odds of having a LOS ≥3 days (2.38 [95% CI 1.45-3.88], P<.001) and higher odds of readmitting within 30 days (2.28 [95% CI 1.26-4.12], P<.006) when compared to nonmalnourished patients. There were no significantly different clinical outcomes between moderately and severely malnourished groups.

CONCLUSION

The study successfully utilized the modified AND-ASPEN criteria to show that approximately one in three patients presented with malnutrition upon admission. Malnourished patients were more likely to have longer LOS and more likely to be readmitted within 30 days. This article is protected by copyright. All rights reserved.

AND-ASPEN and ESPEN consensus, and GLIM criteria for malnutrition identification in AECOPD patients: a longitudinal study comparing concurrent and predictive validity

BACKGROUND/OBJECTIVES

Malnutrition in chronic obstructive pulmonary disease (COPD) patients is prevalent and usually assessed by body mass index (BMI), which can lead to misdiagnosis. The subjective global assessment (SGA) is the reference method for this diagnose in hospitalized patients. In the last decade, new tools have emerged Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition [AND-ASPEN], European Society for Clinical Nutrition and Metabolism [ESPEN], and Global Leadership Initiative on Malnutrition [GLIM]). Therefore, this study aimed to assess the concurrent and predictive validity of these tools in acute exacerbated COPD (AECOPD) patients.

SUBJECTS/METHODS

Prospective cohort study with hospitalized AECOPD patients. Malnutrition was diagnosed by SGA (reference method), AND-ASPEN, ESPEN, and GLIM consensus. Hospital length of stay (LOS) and mortality were the outcomes evaluated.

RESULTS

In 241 patients (46.5% males; 68.3 ± 10.2 years), malnutrition was found in 50.0% by SGA, 54.4% by AND-ASPEN, 20.2% by ESPEN, and 47.8% by GLIM. AND-ASPEN had the best accuracy (AUC = 0.837; 95% CI 0.783-0.841) and concordance (kappa = 0.674) with SGA and it was an independent predictor of prolonged LOS (OR = 1.73; 95% CI 1.01-3.37). ESPEN consensus did not agree with SGA, but was associated with prolonged LOS (OR = 2.57 95% CI, 1.27-5.20). The GLIM had good concordance (kappa = 0.533) and accuracy with SGA (AUC = 0.768; 95% CI 0.701-0.835), but was not associated with outcomes.

CONCLUSIONS

The AND-ASPEN was the most accurate tool for diagnosing malnutrition in AECOPD patients and was an independent predictor of prolonged LOS.

Academy of Nutrition and Dietetics Nutrition Research Network: Rationale and Protocol for a Study to Validate the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition Consensus-Derived Diagnostic Indicators For Adult And Pediatric Malnutrition and to Determine Optimal Registered Dietitian Nutritionist Staffing in Acute Care Hospital Settings

No systematic, universally accepted method of diagnosing malnutrition in hospitalized patients exists, which may contribute to underdiagnosis, undertreatment, and poorer patient outcomes. To address this issue, the Academy of Nutrition and Dietetics is conducting a cohort study to: assess the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators for the diagnosis of adult and pediatric malnutrition in hospital settings; assess the interrater reliability of the indicators for the diagnosis of adult and pediatric malnutrition; and quantify the level of registered dietitian nutritionist care needed to improve patient outcomes. Up to 60 adult and 60 pediatric hospital sites will collect data to estimate level of registered dietitian nutritionist care, along with patient medical history and Malnutrition Screening Tool (adult) or STRONGkids (pediatric) results. A subset of 600 adult and 600 pediatric patients (∼1:1 screened as high- or low-risk for malnutrition) will be randomly selected for the indicators for the diagnosis of adult and pediatric malnutrition and Nutrition Focused Physical Exam data collection; 100 adult and 100 pediatric patients in this group will also undergo a bioelectrical impedance analysis measurement. Additional nutrition care and medical outcomes (eg, mortality and length of stay) will be collected for a 3-month period after the initial nutrition encounter. Multilevel linear, logistic, Poisson, or Cox regression models will be used to assess indicators for the diagnosis of adult and pediatric malnutrition validity and registered dietitian nutritionist staffing levels as appropriate for each medical outcome. Validation results will allow US clinicians to standardize the way they diagnose malnutrition in hospitalized patients, and the staffing data will support advocacy for available registered dietitian nutritionist-delivered malnutrition treatment to improve patient outcomes.

Accuracy of three tools for malnutrition diagnosis in hospitalised patients: Comparison to subjective global assessment

BACKGROUND

Malnutrition is prevalent in hospital, and the Subjective Global Assessment (SGA) has been widely used for its identification. However, in the last decade, new tools were proposed by the Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition (AND-ASPEN), European Society for Clinical Nutrition and Metabolism (ESPEN) and Global Leadership Initiative on Malnutrition (GLIM). The diagnostic test accuracy of these tools has been scarcely investigated. Thus, we aimed to compare the accuracy of AND-ASPEN, ESPEN and GLIM for malnutrition diagnosis in hospitalised patients.

METHODS

A cross-sectional study was conducted with hospitalised patients aged ≥ 18 years from a five-unit complex hospital. Malnutrition was diagnosed within 48 h of admission using SGA, AND-ASPEN, ESPEN and GLIM. The accuracy of these tools was evaluated by the area under the receiver operating characteristic (AUROC) curve, considering SGA as reference, which was compared by the DeLong test.

RESULTS

Six hundred patients (55.7 ± 14.8 years, 51.3% male) were evaluated. AND-ASPEN [AUROC 0.846; 95% confidence interval (CI) = 0.810-0.883] and GLIM presented a satisfactory accuracy (AUROC 0.842; 95% CI, 0.807-0.877), whereas ESPEN had a substantially lower accuracy (AUROC, 0.572; 95% CI, 0.522-0.622). The AUROC of AND-ASPEN and GLIM were not different from each other (p = 0.785) and both had significantly higher accuracy than ESPEN (p < 0.001). AND-ASPEN and GLIM presented sensitivity, specificity and negative predictive value > 80%, whereas ESPEN sensitivity was < 20%.

CONCLUSIONS

AND-ASPEN and GLIM were accurate methods for diagnosing malnutrition and could be applied in hospitalised patients. By contrast, the ESPEN criteria had unsatisfactory accuracy.

Consensus on the standard terminology used in the nutrition care of adult patients with chronic kidney disease

This nutrition consensus document is the first to coordinate the efforts of three professional organizations - the Brazilian Association of Nutrition (Asbran), the Brazilian Society of Nephrology (SBN), and the Brazilian Society of Parenteral and Enteral Nutrition (Braspen/SBNPE) - to select terminology and international standardized tools used in nutrition care. Its purpose is to improve the training delivered to nutritionists working with adult patients with chronic kidney disease (CKD). Eleven questions were developed concerning patient screening, care, and nutrition outcome management. The recommendations set out in this document were developed based on international guidelines and papers published in electronic databases such as PubMed, EMBASE(tm), CINHAL, Web of Science, and Cochrane. From a list of internationally standardized terms, twenty nutritionists selected the ones they deemed relevant in clinical practice involving outpatients with CKD. The content validity index (CVI) was calculated with 80% agreement in the answers. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework was used to assess the strength of evidence and recommendations. A total of 107 terms related to Nutrition Assessment and Reassessment, 28 to Diagnosis, nine to Intervention, and 94 to Monitoring and Evaluation were selected. The list of selected terms and identified tools will be used in the development of training programs and the implementation of standardized nutrition terminology for nutritionists working with patients with chronic kidney disease in Brazil.

Validation of Malnutrition Clinical Characteristics in Critically Ill Patients

BACKGROUND

This study aimed to validate the Malnutrition Clinical Characteristics (MCC) compared with the Subjective Global Assessment (SGA), considering anthropometric measures, comorbidities, and mortality in critically ill patients.

METHODS

This longitudinal observational study included patients admitted to the general intensive care unit (ICU) of a public hospital. SGA was used as the reference standard for diagnosing malnutrition. The inclusion criteria were patients receiving nutrition support therapy and age >18 years. The nutrition therapy was optimized as close as possible to 100% of the patients' energy and protein needs regardless of the access route. Hospital length of stay (LOS), comorbidities on admission, and death were documented during the entire hospitalization of each patient. Body mass index (BMI), midarm circumference (MAC), and calf circumference (CC) were considered anthropometric measures.

RESULTS

The convenience sample comprised 102 ICU patients. Comparing the original malnutrition classifications of SGA with MCC, the specificity was 87.5%, sensitivity was 100%, accuracy was 93.3%, positive predictive value was 87.5%, and negative predictive value was 100%. When classified in 2 groups, namely "well-nourished" and "malnourished," specificity and sensitivity were 100% between both groups. Malnourished patients had significantly higher mortality rates (P = .006) and longer LOSs (P <.001). As expected, BMI, MAC, and CC results were similar for SGA and MCC.

CONCLUSIONS

MCC was a valid tool for classifying malnutrition in ICU patients. Because the evaluation is fast and does not require expensive equipment that is difficult to handle, it is believed to be practical, low-cost, and easy to use.