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Comparison of GLIM, SGA, PG-SGA, and PNI in diagnosing malnutrition among hepatobiliary-pancreatic surgery patients. | LitMetric

AI Article Synopsis

  • This study compared four diagnostic tools for malnutrition in hospitalized patients undergoing hepatobiliary-pancreatic surgery: GLIM criteria, SGA, PG-SGA, and PNI, to assess their effectiveness and the nutritional intervention applied.
  • A total of 506 patients were analyzed, revealing that the prevalence of malnutrition varied among the tools, with PG-SGA and GLIM showing better diagnostic consistency compared to SGA and PNI.
  • The findings indicated a high prevalence of nutritional risk, particularly in tumor patients, with older age, lower BMI, and tumor presence being significant factors, highlighting the need for improved nutritional support.

Article Abstract

Objective: To compare the diagnostic value of four tools-the Global Leadership Initiative on Malnutrition (GLIM) criteria, the subjective global assessment (SGA), patient-generated subjective global assessment (PG-SGA), and prognostic nutritional index (PNI) in malnutrition among hospitalized patients undergoing hepatobiliary-pancreatic surgery. Meanwhile, to observe the nutritional intervention of these patients.

Methods: Present study was a cross-sectional study, including 506 hospitalized patients who underwent hepatobiliary-pancreatic surgery between December 2020 and February 2022 at Ningbo Medical Center Lihuili Hospital, China. The incidence rate of malnutrition was diagnosed using the four tools. The consistency of the four tools was analyzed by Cohen's kappa statistic. Data, including nutritional characteristics and nutritional interventions, were collected. The nutritional intervention was observed according to the principles of Five Steps Nutritional Treatment.

Results: The prevalence was 36.75, 44.58, and 60.24%, as diagnosed by the GLIM, PG-SGA, and PNI, respectively, among 332 tumor patients. Among the 174 non-tumor patients, the prevalence was 9.77, 10.92, and 32.18% as diagnosed by the GLIM, SGA, and PNI. The diagnostic concordance of PG-SGA and GLIM was higher (Kappa = 0.814, <0.001) than SGA vs. GLIM (Kappa = 0.752, < 0.001) and PNI vs. GLIM (Kappa = 0.265, < 0.001). The univariate analysis revealed that older age, lower BMI and tumorous were significantly associated with nutritional risks and malnutrition. Among 170 patients with nutritional risk, most of patients (118/170, 69.41%) did not meet the nutritional support standard.

Conclusion: The incidence of nutritional risk and malnutrition is high among patients with hepatobiliary and pancreatic diseases, specifically those with tumors. The GLIM showed the lowest prevalence of malnutrition among the four tools. The PG-SGA and GLIM had a relative high level of agreement. There was a low proportion of nutritional support in patients. More prospective and well-designed cohort studies are needed to confirm the relevance of these criteria in clinical practice in the future.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902504PMC
http://dx.doi.org/10.3389/fnut.2023.1116243DOI Listing

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