Effect of combined electrolyzed reduced water and slightly acidic electrolyzed water spraying on the control of Salmonella, eggshell quality, and shelf life of eggs during storage.

Slightly acidic electrolyzed water (SAEW) is a safe and effective disinfectant, but its sterilizing efficiency is compromised by organic matter on the egg surface. Electrolyzed reduced water (ERW) is a harmless cleaner with a decontamination effect on a variety of surfaces and can be used to remove organic matter. This study assesses the effectiveness of a combination of ERW and SAEW in eliminating Salmonella and manure mixture from egg surfaces, as well as its impact on egg quality during storage. The results show that ERW (74.14%) was more effective than deionized water (DW, 64.69%) and SAEW (70.20%) (P < 0.05) in removing manure from egg surfaces. The damage to the cuticle of eggshell treated with ERW for 28 s was similar to that of DW (P > 0.05) and less than that of SAEW (P < 0.05). Spraying ERW for 10 s followed by SAEW for 18 s (ERW + SAEW) completely removed Salmonella from the egg surface, with no bacteria detected in the residual wash solution. Additionally, ERW + SAEW demonstrated superior preservation of egg quality during storage at 25℃ than the control and ERW single treatment (P < 0.05). Moreover, ERW + SAEW resulted in less weight loss compared to SAEW single treatment (P < 0.05). In conclusion, the sequential use of ERW and SAEW appears to be a promising approach for sterilizing eggs. It not only removes organic matter and Salmonella from the egg surface but also improves the preservation quality of the egg at 25 ℃.

New model predicting gastroesophageal varices and variceal hemorrhage in patients with chronic liver disease.

INTRODUCTION AND OBJECTIVES: The predictors for gastroesophageal varices (GOV) and hemorrhage development have not been well studied in different liver diseases or different population. This study aimed to evaluate whether a new algorithm focusing on chronic hepatitis B (CHB) patients is also applicable to other chronic liver diseases (CLDs) in Chinese population. PATIENTS OR MATERIALS AND METHODS: We retrospectively analyzed 659 CHB patients and 386 patients with other CLDs. A total of 439 CHB patients were included in training set, the other 220 CHB patients and other patients with CLDs were included in validation set. A new algorithm for diagnosing GOV was established and its sensitivity and specificity for predicting the varices was verified. RESULTS: Multivariable logistic regression revealed that the rough surface of the liver (p<0.001), splenic thickness (p<0.001), and liver stiffness (p=0.006) were independent predictors of GOV. The new algorithm was considered to be a reliable diagnostic model to evaluate the presence of varices. The AUROC was 0.94 (p<0.001) in CHB validation set and 0.90 (<0.001) in non-CHB validation set. When the cut-off value was chosen as -1.048, the sensitivity and specificity in diagnosing GOV in CHB population were 89.1% and 82.5%, respectively. Importantly, the new algorithm accurately predicted the variceal hemorrhage not only in CHB patients, but also in patients with other CLDs. CONCLUSION: The new algorithm is regarded as a reliable model to prognosticate varices and variceal hemorrhage, and stratified not only the high-risk CHB patients, but also in patients with other CLDs for developing GOV and variceal bleeding.