Nutrition in Chronic Liver Disease

Comparison of the GLIM criteria with specific screening tool for diagnosing malnutrition in hospitalized patients with cirrhosis: A descriptive cross-sectional study

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) has been built to diagnose malnutrition; however, its validity among patients with cirrhosis remains enigmatic. We aimed to investigate the prevalence of malnutrition according to GLIM criteria and compare the differences by using a specific screening tool.

METHODS

We conducted a descriptive cross-sectional study analyzing hospitalized patients. The Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) was chosen as the screening tool. Estimated prevalence was shown with and without the initial screening process. Diverse combinations of phenotypic and etiologic criteria and distinct body mass index (BMI) cutoffs were applied to detect frequency of malnourished patients with cirrhosis.

RESULTS

Overall, 363 patients were recruited (median age, 64 years; 51.2% female). The prevalence of malnutrition according to GLIM criteria with and without RFH-NPT screening was 33.3% and 36.4%, respectively. Low BMI and inflammation represented the most prevalent combination resulting in a malnutrition diagnosis (42.4%), followed by low BMI and reduced food intake (39.4%). By contrast, the least prevalence was found when combining reduced muscle mass with inflammation to diagnose malnutrition. Furthermore, the frequency of malnourished and well-nourished participants was not statistically different when using divergent BMI reference values across the study population.

CONCLUSIONS

GLIM criteria may serve a specific proxy to diagnose malnutrition, along with RFH-NPT screening. Relevant investigation is required to report on the applied combination of phenotypic/etiologic criteria, taking into consideration the marked impact of different models. More attempts are warranted to delineate the prognostic role of GLIM criteria in the context of cirrhosis.

Body Composition of Infants With Biliary Atresia: Anthropometric Measurements and Computed Tomography-based Body Metrics

OBJECTIVES

Biliary atresia (BA) causes neonatal cholestasis that requires hepatoportoenterostomy or liver transplantation (LT) for long-term survival. Nutritional optimization is necessary as sarcopenia and sarcopenic obesity have been associated with adverse clinical outcome. Currently, mid upper arm circumference (MUAC) is considered the most accurate indicator. The aim of the study was to determine computed tomography (CT)-based body metrics in infants with BA and to evaluate its correlation with MUAC.

METHODS

We retrospectively analyzed all BA infants below 2 years of age who underwent CT as part of LT screening at our hospital between 2006 and 2019. Measured variables were indexed with length and included: MUAC, total psoas muscle surface area (tPMSA), cross-sectional skeletal muscle area (CSMA), and total abdominal fat area. Intraclass correlation coefficients and Pearson coefficients were calculated. CSMA-to-abdominal fat area ratio was divided in quartiles, the lowest quartile group was considered sarcopenic obese.

RESULTS

Eighty infants with a median age of 4.6 months at LT screening were included. Intraclass correlation coefficients were: tPMSA = 0.94, CSMA = 0.92, and total abdominal fat area = 0.99. Correlation between MUAC z-score and indices of tPMSA, CSMA, and total abdominal fat area were r = 0.02, r = 0.06, and r = 0.43, respectively. The cut-off for sarcopenic obesity was CSMA-to-abdominal fat area ratio below 0.93.

CONCLUSIONS

In BA infants, it is possible to determine CT-based body metrics during LT screening with very strong interobserver agreement. Poor correlation between CT-based body metrics and MUAC suggests that CT-based body metrics provide additional information on body composition in BA infants, such as relative muscle mass.

Diagnosis of malnutrition in patients with gastrointestinal diseases: recent observations from a Global Leadership Initiative on Malnutrition perspective

PURPOSE OF REVIEW

To review recent reports on techniques and tools for screening and diagnosis of malnutrition in gastrointestinal disease, in the light of the newly published definition of malnutrition by the Global Leadership Initiative on Malnutrition (GLIM).

RECENT FINDINGS

In 2019, the GLIM concept of malnutrition was published advocating a two-step procedure; first, screening, and second confirmation of the diagnosis that requires a combination of phenotypic and etiologic criteria. Three studies in patients with gastrointestinal disorders so far published utilize the GLIM criteria. Otherwise, traditional tools, as Nutrition Risk Screening-2002, Malnutrition Universal Screening Tool or Subjective Global Assessment are used, and confirm that malnutrition is observed in a substantial number of patients with inflammatory bowel diseases (IBDs), serious liver disorders and various forms of pancreatitis. Common for these disorders is an extensive loss of muscle mass, which is one of the GLIM phenotypic criteria. Such patients often undergo abdominal computed tomography scans that enable psoas muscle mass at L3 or L4 level to be calculated.

SUMMARY

The GLIM criteria for the diagnosis of malnutrition are feasible for IBD, liver and pancreas diseases. Pending studies expect to provide data on the clinical relevance to diagnose malnutrition by the GLIM concept.