Multicenter Clinical Trials Analyzing Efficacy and Safety of Topical Cortex Phellodendri Compound Fluid in Treatment of Diabetic Foot Ulcers.

BACKGROUND The aim of this study was to analyze the clinical application of cortex phellodendri compound fluid (CPCF) in the treatment of diabetic foot ulcers. MATERIAL AND METHODS From January 2012 to December 2015, a total of 720 cases of diabetic foot ulcers (DFU) were randomly assigned into an experimental group (n=540) that was treated by CPCF and a control group (n=180) that was treated by a Kangfuxin solution (KFS). After 4 weeks of treatment, their ulcer area, serum growth factor, clinical total effective rate, and incidence of adverse events were assessed. RESULTS There were 720 patients who completed the trial. The experimental group was superior to the control group in reducing ulcer area, increasing growth factor content, and total effective rate (P<0.05). There was no significant difference in the adverse events rates between the 2 groups. CONCLUSIONS CPCF external treatment of diabetic foot ulcer can promote ulcer healing and increase the concentration of growth factors, and it is safe and reliable.

Blood metabolites predicting mild cognitive impairment in the study of Latinos-investigation of neurocognitive aging (HCHS/SOL).

INTRODUCTION: Blood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging. METHODS: We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially identifying a different set of metabolites than those discovered in individual-metabolite analysis. RESULTS: We identified 20 metabolites predicting prevalent MCI and/or global cognitive change. Six of them were novel and 14 were previously reported as associated with neurocognitive aging outcomes. The MCI MRS comprised 61 metabolites and improved prediction accuracy from 84% (minimally adjusted model) to 89% in the entire dataset and from 75% to 87% among apolipoprotein E ε4 carriers. DISCUSSION: Blood metabolites may serve as biomarkers identifying individuals at risk for MCI among US Hispanics/Latinos.