Machine Learning-Based Prediction of Complications and Prolonged Hospitalization with the GLIM Criteria Combinations Containing Calf Circumference in Elderly Asian Patients.

Background And Aims: Malnutrition is widely present and influences the prognosis of elderly inpatients, so it is helpful to be able to identify it with a convenient method. However, in the widely accepted criteria for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM), a lot of metrics can be used to define the phenotypic and etiological criteria. To identify muscle mass reduction, anthropometric parameters such as calf circumference (CC) and hand grip strength (HGS) are preferable to other expensive methods in many situations because they are easy and inexpensive to measure, but their applicability needs to be verified in specific clinical scenarios.

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor.

Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients.

Method: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014.

Hypouricemic effect of flaccidoside II in rodents.

To investigate the effect of flaccidoside II on the serum uric acid levels in hyperuricemic rodents. Both mice and rats were injected intraperitoneally with potassium oxonate to induce hyperuricemia. Different dosages of flaccidoside II were orally administrated to hyperuricemic and normal rodents for 7 days, respectively.

[Study on the Flavonoids and Biological Activity of Rubus sachalinensis].

Objective: To study the chemical constituents and biological activity of Rubus sachalinensis.

Methods: The compounds in the ethyl acetate and n-butanol fraction were isolated and purified by macroporous resin,Sephadex LH-20 column chromatography,and reverse-phase preparative HPLC. The structures were identified by various spectroscopic data such as 1D,2D-NMR,HRMS.