Application of HS-SPME-GC-MS combined with electronic nose technology in the odor recognition of pseudostellariae radix.

Correct identification of the substance basis of Pseudostellariae Radix (PR) odor is important not only for the quality control of the products, but also for the safety of the consumers. PR is often described with a special smell, such as strange, moldy or earthy. Electronic nose-based technology coupled with headspace solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used to investigate the volatile components in PR from 47 germplasms cultivated in traditional fields. A total of 48 common compounds were identified based on HS- SPME-GC-MS technology, and 25 of them with aroma characteristics were found based on Alpha soft 13.4. The 1-Octen-3-ol, geosim, (E)-2-nonenal and 1- methylnaphthalene as contributing marker compounds of the 'specific smell' of PR were identified. The odor recognition mode, with demonstrated excellent accuracy in recognition abilities, enabled the correct identification of commercial samples including complex mixtures.

A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patients.

BACKGROUND AND AIM: To develop and validate a novel machine learning-based radiomic model (RM) for diagnosing high bleeding risk esophageal varices (HREV) in patients with cirrhosis. METHODS: A total of 796 qualified participants were enrolled. In training cohort, 218 cirrhotic patients with mild esophageal varices (EV) and 240 with HREV RM were included to training and internal validation groups. Additionally, 159 and 340 cirrhotic patients with mild EV and HREV RM, respectively, were used for external validation. Interesting regions of liver, spleen, and esophagus were labeled on the portal venous-phase enhanced CT images. RM was assessed by area under the receiver operating characteristic curves (AUROC), sensitivity, specificity, calibration and decision curve analysis (DCA). RESULTS: The AUROCs for mild EV RM in training and internal validation were 0.943 and 0.732, sensitivity and specificity were 0.863, 0.773 and 0.763, 0.763, respectively. The AUROC, sensitivity, and specificity were 0.654, 0.773 and 0.632, respectively, in external validation. Interestingly, the AUROCs for HREV RM in training and internal validation were 0.983 and 0.834, sensitivity and specificity were 0.948, 0.916 and 0.977, 0.969, respectively. The related AUROC, sensitivity and specificity were 0.736, 0.690 and 0.762 in external validation. Calibration and DCA indicated RM had good performance. Compared with Baveno VI and its expanded criteria, HREV RM had a higher accuracy and net reclassification improvements that were as high as 49.0% and 32.8%. CONCLUSION: The present study developed a novel non-invasive RM for diagnosing HREV in cirrhotic patients with high accuracy. However, this RM still needs to be validated by a large multi-center cohort.

Associations of high HDL cholesterol level with all-cause mortality in patients with heart failure complicating coronary heart disease.

The aim of the present study was to evaluate the association between HDL cholesterol level and all-cause mortality in patients with ejection fraction reduced heart failure (EFrHF) complicating coronary heart disease (CHD).A total of 323 patients were retrospectively recruited. Patients were divided into low and high HDL cholesterol groups. Between-group differences and associations between HDL cholesterol level and all-cause mortality were assessed.Patients in the high HDL cholesterol group had higher HDL cholesterol level and other lipid components (P <0.05 for all comparison). Lower levels of alanine aminotransferase (ALT), high-sensitivity C-reactive protein (Hs-CRP), and higher albumin (ALB) level were observed in the high HDL cholesterol group (P <0.05 for all comparison). Although left ventricular ejection fraction (LVEF) were comparable (28.8 ±â€Š4.5% vs 28.4 ±â€Š4.6%, P = 0.358), mean mortality rate in the high HDL cholesterol group was significantly lower (43.5% vs 59.1%, P = 0.007). HDL cholesterol level was positively correlated with ALB level, while inversely correlated with ALT, Hs-CRP, and NYHA classification. Logistic regression analysis revealed that after extensively adjusted for confounding variates, HDL cholesterol level remained significantly associated with all-cause mortality although the magnitude of association was gradually attenuated with odds ratio of 0.007 (95% confidence interval 0.001-0.327, P = 0.012).Higher HDL cholesterol level is associated with better survival in patients with EFrHF complicating CHD, and future studies are necessary to demonstrate whether increasing HDL cholesterol level will confer survival benefit in these populations of patients.