ThedaCare Nutrition Risk Screen Improves the Identification of Non-Intensive Care Unit Patients at Risk for Malnutrition Compared With the Nutrition Risk Screen 2002

Prevalence of Malnutrition in Patients with Hepatocellular Carcinoma: A Comparative Study of GLIM Criteria, NRS2002, and PG-SGA, and Identification of Independent Risk Factors

AIM

Malnutrition is prevalent in hepatocellular carcinoma (HCC) patients, linked to poor outcomes, necessitating early intervention. This study aimed to investigate malnutrition in HCC patients, assess Nutrition Risk Screening 2002 (NRS-2002) and Patient-Generated Subjective Global Assessment (PG-SGA) vs. Global Leadership Initiative on Malnutrition (GLIM) criteria, and identify independent risk factors.

METHOD

A cross-sectional retrospective study was conducted on 207 patients with HCC. Nutritional screening/assessment results and blood samples were collected within 72 h of admission. This study assessed the prevalence of malnutrition using the NRS-2002 and PG-SGA and retrospectively using the GLIM criteria. The performance of the screening tools was evaluated using kappa (K) values. Logistic regression analyses were performed to determine whether laboratory parameters were associated with malnutrition as identified by the GLIM criteria.

RESULTS

Of the participants, 30.4% were at risk of malnutrition according to NRS-2002. The agreement between the NRS-2002 and GLIM criteria was substantial. The GLIM criteria and PG-SGA diagnosed malnutrition in 43 and 54.6% of the participants, respectively. Age, anemia, and ascites correlated with malnutrition in regression.

CONCLUSION

The GLIM criteria, along with NRS-2002 and PG-SGA, aid in diagnosing malnutrition in HCC patients. Recognizing risk factors improves accuracy, enabling timely interventions for better outcomes.

Association of Malnutrition with Risk of Acute Kidney Injury: A Systematic Review and Meta-Analysis

Background

Acute kidney injury (AKI) is a complex clinical syndrome of hospitalization that may be affected by undernutrition and metabolic changes. The aim of this meta-analysis was to systematically assess the association between malnutrition and the risk of prevalent AKI.

Materials and Methods

We searched PubMed, Embase, Ovid MEDLINE, Web of Science, and Chinese databases (WANFANG, VIP, and CKI) from database inception until May 1, 2023, for studies evaluating the association of malnutrition with the risk of AKI. Summary odds ratios (ORs) were estimated using a random-effects model.

Results

We identified 17 observational studies, which included 273,315 individuals. Compared with patients with normal nutritional status, those with malnutrition had a 125% increased risk of prevalent AKI (pooled ORs, 2.25; 95% confidence interval, 1.80-2.82). Malnutrition was also significantly associated with prevalent AKI across all subgroups when subgroup analyses were performed on covariates such as region, study design, age, sample size, malnutrition assessment method, patient characteristics, covariate adjustment degree, and risk of bias. Meta-regression models demonstrated no significant differences in AKI risk between patients with malnutrition and without malnutrition.

Conclusions

Our results suggest that malnutrition may be a potential target for AKI prevention. However, well-designed studies with ethnically or geographically diverse populations are needed to evaluate strategies and interventions to prevent or slow the development and progression of AKI in malnourished individuals.

Harmonization and standardization of malnutrition screening for all adults - A systematic review initiated by the Norwegian Directorate of Health

BACKGROUND & AIMS

The Norwegian Directorate of Health has identified a need to harmonize and standardize the malnutrition screening practice in Norwegian hospitals and primary health care settings, in order to provide a seamless communication of malnutrition screening along the patient pathway. Our aim was to perform a systematic review of the validity and reliability of screening tools used to identify risk of malnutrition across health care settings, diagnoses or conditions and adult age groups, as a first step towards a national recommendation of one screening tool.

METHODS

A systematic literature search for articles evaluating validity, agreement, and reliability of malnutrition screening tools, published up to August 2020, was conducted in: MEDLINE, Embase, APA PsycInfo, Cinahl, Cochrane Databases, Web of Science, Epistemonikos, SveMed+, and Norart. The systematic review was registered in PROSPERO (CRD42022300558). For critical appraisal of each included article, the Quality Criteria Checklist by The Academy of Nutrition and Dietetics was used.

RESULTS

The review identified 105 articles that fulfilled the inclusion and exclusion criteria. The most frequently validated tools were Mini Nutritional Assessment short form (MNA), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), and Nutritional Risk Screening 2002 (NRS-2002). MNA, MST and NRS-2002 displayed overall moderate validity, and MUST low validity. All four tools displayed low agreement. MST and MUST were validated across health care settings and age groups. In general, data on reliability was limited.

CONCLUSIONS

The screening tools MST and NRS-2002 displayed moderate validity for the identification of malnutrition in adults, of which MST is validated across health care settings. In addition, MNA has moderate validity for the identification of malnutrition in adults 65 years or older.

Association between Prognostic Nutritional Index and Contrast-Associated Acute Kidney Injury in Patients Complicated with Chronic Kidney Disease and Coronary Artery Disease

Background

Contrast-associated acute kidney injury (CA-AKI) is a major adverse effect of coronary angiography (CAG). Patients with chronic kidney disease (CKD) and coronary artery disease (CAD) are at high risk of CA-AKI. This study aimed to investigate the association between prognostic nutritional index (PNI) and CA-AKI in this high-risk population.

Methods

This study enrolled a total of 4,391 patients. CA-AKI was defined as a serum creatinine increase ≥0.3 mg/dL or 50% from baseline within the first 48 hours following CAG. The PNI was calculated upon hospital admission: serum albumin (g/L) + 5 × total lymphocyte count (10⁹/L). PNI was analysed from the high level to low level as a continuous variable and categorical variable which was divided into four groups by quartile. Restricted cubic splines and logistic regression were applied.

Results

Overall, 13.09% (575/4391) of patients developed CA-AKI. PNI score was significantly lower in patients with CA-AKI than that in patients without CA-AKI (P < 0.01). The relationship between PNI score and CA-AKI was linear. A logistic regression model revealed that decreased PNI score was associated with increased risk of CA-AKI [per 1-point decrement; adjusted OR = 1.08, 95% CI, 1.05–1.09; compared with Quartile 1 (PNI ≥ 46.30), Quartile 4 (PNI < 37.90), adjusted OR = 1.88, 95% CI: 1.41–2.51; and Quartile 3 (37.90 ≤ PNI < 42.15), adjusted OR = 1.37, 95% CI: 1.02–1.84].

Conclusion

Our study indicated a negative linear relationship between PNI score and CA-AKI in patients undergoing CAG complicated with CKD and CAD. It suggested that malnutrition is associated with increased risk of CA-AKI in this population.

Global Leadership Initiative on Malnutrition criteria as a nutrition assessment tool for patients with cancer

OBJECTIVES

Since the launch of Global Leadership Initiative on Malnutrition (GLIM), there has been an urgent need to validate the new criteria, especially in patients with cancer. The aim of this study was to evaluate and validate the use of the GLIM criteria in patients with cancer.

METHOD

This multicenter cohort study compared the GLIM with the scored Patient-Generated Subjective Global Assessment (sPG-SGA). The 1-y survival rate, multivariate Cox regression analysis, κ-value, sensitivity, specificity, receiver operating characteristic (ROC) curve, and time-dependent ROC analysis were applied to identify the performance of the GLIM.

RESULTS

Among the 3777 patients in the study, 50.9% versus 49.1% or 36.3% versus 63.7% of the patients were defined as well-nourished and malnourished by GLIM or sPG-SGA, respectively. GLIM presented moderate consistency (κ = 0.54, P < 0.001), fair sensitivity and specificity (70.5 and 88.3%) compared with sPG-SGA. There was no difference in the 1-y survival rate in malnourished patients (76.9 versus 76.4%, P = 0.711), but it was significantly different in well-nourished patients (85.8 versus 90.3%, P < 0.001) between GLIM and sPG-SGA. The above difference was eliminated after omitted nutritional risk screening (NRS)-2002 screening before GLIM (88.1 versus 90.3%, P = 0.078). Omitting NRS-2002 screening before GLIM did not change the 1-y survival rate in well-nourished or malnourished patients by GLIM with NRS-2002 screening (76.9 versus 78.9%, P = 0.099; 85.8% versus 88.1%, P = 0.092) although it significantly raised the rate of malnutrition to 72.5%. The combination of "weight loss and cancer" showed better performance than other combinations.

CONCLUSIONS

GLIM could be a convenient alternative to sPG-SGA in nutrition assessment for patients with cancer. The combination of "weight loss and cancer" was better than other combinations. Considering the higher risk for malnutrition in patients with cancer, NRS-2002 screening may not be needed before GLIM.

Clinical practice guidelines for the nutritional risk screening and assessment of cancer patients: a systematic quality appraisal using the AGREE II instrument

PURPOSE

To evaluate the quality of published clinical practice guidelines (CPGs) regarding the nutritional risk screening and assessment of cancer patients and to identify high-quality CPGs for clinical healthcare professionals.

METHODS

Guidelines for the nutritional risk screening and assessment of cancer patients were comprehensively searched in eight electronic databases, including The Lancet, PubMed, Cochrane Library, Excerpta Medica dataBASE (EMBASE), Web of Science, China National Knowledge Infrastructure (CNKI), China Biology Medicine disc (CBMdisc), and Wan Fang Data, through August 2020. Six relevant guideline databases, including the National Comprehensive Cancer Network (NCCN), the National Guideline Clearinghouse (NGC), the Guideline International Network (GIN), the New Zealand Guidelines Group (NZGG), the China Guideline Clearinghouse (CGC), and Medlive, and relevant nutrition society websites, were also searched through August 2020. The methodological quality of the included CPGs was appraised independently by three assessors using the Appraisal of Guidelines for Research and Evaluation, 2nd edition (AGREE II) tool.

RESULTS

Seven CPGs were located, and the domain with the highest percentage was "clarity of presentation" (85.44%), while the domain with the lowest percentage was "applicability" (40.26%). From the AGREE II results, two guidelines were rated as "strongly recommended," three were assessed as "recommended with modifications," and two were deemed as "not recommended."

CONCLUSION

Considering that the two "strongly recommended" guidelines were developed within the American and European contexts, translation, validation, and cultural adaptation are recommended prior to implementing these guidelines in other countries or healthcare contexts to improve their effectiveness and sensitivity for local cancer patients.

TRIAL REGISTRATION

PROSPERO registration of the study protocol: CRD42020177390 (July 5, 2020).

Prognostic nutritional index predicts acute kidney injury and mortality of patients in the coronary care unit

The current study aimed to investigate whether prognostic nutritional index (PNI) is an independent predictor of acute kidney injury (AKI) and mortality of patients in the coronary care unit (CCU). In the present two-stage observational study of patients in the CCU, 6,444 patients from the Medical Information Mart for Intensive Care (MIMIC) III database were first enrolled (test cohort), after which 412 patients from Zhongnan Hospital of Wuhan University were recruited in the validation cohort. AKI was defined based on the Kidney Disease Improving Global Outcomes AKI criteria. The primary endpoint was the incidence of AKI stratified by severity, while the second endpoint included in-hospital mortality and 2-year mortality. In the test cohort, 4,457 (69.2%) patients developed AKI during hospitalization. Following multivariable adjustment, the highest quartile of the PNI value was associated with a 1.8-fold increased risk of AKI compared with the lowest quartile. For the prediction of AKI, the area under the receiver operating characteristic curve outperformed the acute physiology score III score and clinical model in patients with or without preexisting chronic kidney disease, and this was further validated in the hospital cohort used in the present study. A total of 2,219 patients suffered mortality during the 2-year follow-up, and PNI was indicated to independently predict the risk of in-hospital mortality and 2-year mortality in the test cohort and in the validation cohort. Decision curve analysis indicated that the PNI values were clinically useful; Therefore, the current study demonstrated that the PNI value is an independent predictor of AKI and mortality in patients within the CCU.

Royal Free Hospital-Nutritional Prioritizing Tool improves the prediction of malnutrition risk outcomes in liver cirrhosis patients compared with Nutritional Risk Screening 2002

The European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines recommend the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) to identify malnutrition risk in patients with liver disease. However, little is known about the application of the RFH-NPT to screen for the risk of malnutrition in China, where patients primarily suffer from hepatitis virus-related cirrhosis. A total of 155 cirrhosis patients without liver cancer or uncontrolled co-morbid illness were enrolled in this prospective study. We administered the Nutritional Risk Screening 2002 (NRS-2002), RFH-NPT, Malnutrition Universal Screening Tool (MUST) and Liver Disease Undernutrition Screening Tool (LDUST) to the patients within 24 h after admission and performed follow-up observations for 1·5 years. The RFH-NPT and NRS-2002 had higher sensitivities (64·8 and 52·4 %) and specificities (60 and 70 %) than the other tools with regard to screening for malnutrition risk in cirrhotic patients. The prevalence of nutritional risk was higher under the use of the RFH-NPT against the NRS-2002 (63 v. 51 %). The RFH-NPT tended more easily to detect malnutrition risk in patients with advanced Child–Pugh classes (B and C) and lower Model for End-stage Liver Disease scores (<15) compared with NRS-2002. RFH-NPT score was an independent predictive factor for mortality. Patients identified as being at high malnutrition risk with the RFH-NPT had a higher mortality rate than those at low risk; the same result was not obtained with the NRS-2002. Therefore, we suggest that using the RFH-NPT improves the ability of clinicians to predict malnutrition risk in patients with cirrhosis primarily caused by hepatitis virus infection at an earlier stage.

Impact of an interdisciplinary malnutrition quality improvement project at a large metropolitan hospital

As many as 50% of hospitalised patients are estimated to be malnourished or at risk of malnutrition on hospital admission, but this condition often goes unrecognised, undiagnosed and untreated. Malnutrition is associated with an elevated need for continued medical interventions, higher costs of care and increased patient safety risks. Tampa General Hospital (TGH), a large teaching hospital in the southeastern USA, initiated a project to improve the quality of patient care at its institution. They did this first by focusing on improving the care quality for their malnourished patients (or patients who were at risk of malnourishment) and by using elements of the national Malnutrition Quality Improvement Initiative (MQii) Toolkit as a mechanism to measure and improve quality. The aim of this study was to evaluate the impact of quality improvement interventions on patient length of stay (LOS), infection rates and readmissions, particularly for malnourished patients. The structure of the MQii and the use of the MQii Toolkit helped staff members identify problems and systematically engage in quality improvement processes. Using the MQii Toolkit, TGH implemented a multipronged approach to improving the treatment of malnourished patients that involved creating interdisciplinary teams of staff and identifying gaps in care that could be improved through a series of changes to hospital-wide clinical workflows. They enhanced interdisciplinary coordination through increased dietitian engagement, the use of electronic health record alerts and new surgical protocols. These interventions lasted 8 months in 2016 and data reported here were collected from 985 patients before the interventions (2015) and 1046 patients after the interventions (2017). The study examines how these process changes affected LOS, infection rates and readmissions at TGH. Following implementation of these quality improvement processes, patients who were malnourished or at risk of malnutrition had a 25% reduction in LOS (from 8 to 6 days, p<0.01) and a 35.7% reduction in infection rates (from 14% to 9%, p<0.01). No statistically significant changes in readmission rates were observed. This study adds to a growing body of literature on quality improvement processes hospitals can undertake to better identify and treat malnourished patients. Hospitals and health systems can benefit from adopting similar institution-wide, quality improvement projects, while policy-makers' support for such programmes can spur more rapid uptake of nutrition-focused initiatives across care delivery settings.