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Objective To establish a model that can predict the occurrence of acute kidney disease (AKD) in liver cirrhotic patients and evaluate its performance. Methods Liver cirrhotic patients who hospitalized in the department of gastroenterology of the First Hospital of Lanzhou University from January 2017 to January 2022 were retrospectively included. They were divided into AKD and non-AKD groups according to whether they were combined with AKD during hospitalization, and were randomized into training and validation sets in a 7∶3 ratio. The clinical data of patients in the two groups were collected, and LASSO regression and multifactorial Logistic regression were used to screen the influencing factors for the occurrence of AKD in patients with liver cirrhosis and to establish a prediction model. The model was then evaluated by using the receiver operating characteristic curve, the calibration curve and the clinical decision curve. Results A total of 796 cases of liver cirrhotic patients who met the inclusion and exclusion criteria were enrolled. Among them, 103 cases were in the AKD group and 693 cases were in the non-AKD group; 561 cases were in the training set and 235 cases were in the validation set. The results of LASSO regression and multifactorial Logistic regression showed that a history of diabetes (OR=2.922, 95% CI: 1.290-6.564, P=0.009), hepatic encephalopathy (OR=6.210, 95% CI: 2.278-17.479, P < 0.001), gastrointestinal bleeding (OR=2.501, 95% CI: 1.236-5.073, P=0.011), ascites (OR=3.219, 95% CI: 1.664-6.539, P < 0.001), male (OR=0.477, 95% CI: 0.254-0.879, P=0.019), hemoglobin (OR=0.987, 95% CI: 0.975-0.999, P=0.044), albumin (OR=0.952, 95% CI: 0.911-0.991, P=0.023), and prothrombin time (OR=0.865, 95% CI: 0.779-0.920, P < 0.001) were the independent influences on the occurrence of AKD in liver cirrhotic patients, and were used to construct a prediction model. The area under the curve of the model in the training set and validation set for predicting the occurrence of AKD in liver cirrhotic patients was 0.895 (95% CI: 0.865-0.925) and 0.869 (95% CI: 0.807-0.930), respectively. The calibration curves showed that the model had good fit and consistency and the clinical decision curves showed that the use of the model for predicting the risk of AKD could benefit liver cirrhotic patients overall. Conclusions A prediction model for the occurrence of AKD in liver cirrhotic patients was established based on eight influencing factors, including gender, history of diabetes, and hepatic encephalopathy. It was validated to have good discrimination, calibration, and clinical utility, and is expected to assist in the clinical early screening and identification of liver cirrhosis-associated AKD.

Melamine foam (MF), a promising development in light materials, finds application in construction, agriculture, aviation, transportation, electronic message, and other fields due to its excellent thermal insulation performance, sound absorption and noise reduction capabilities, safety and health benefits, as well as easy processing. However, its own shortcomings such as hardness, poor toughness, fragility, and slag removal greatly limit its application scope. In this review, a survey of the literature from two aspects of toughening of melamine resin and regulation of MF pore structure are reviewed to explore the research progress of toughening modification of MF. The principle, merit, and demerit of different modification methods are analyzed. In addition, owing to the extensive literature available, this article also summarizes the representative achievements of the nanotechnology modification of MF derivatives (carbon foam and carbon aerogel). Eventually, based on an assessment of current application status for both MF and its derivatives while considering existing challenges in their modification processes using nanotechnology approaches, we discuss future prospects for their application.

Microecology has been shown to be closely related to digestive diseases, and most of the research on gastric microecology has focused on Helicobacter pylori. With the development of microarray and gene detection technology, in addition to Helicobacter pylori, more and more bacteria genera have been discovered, such as Actinomyces, Firmicute and Clostridium. These bacteria genera and their abundance changes have also been proved to be closely related to the occurrence and development of gastric cancer. In this paper, the role and possible mechanism of gastric microecology in the occurrence and development of gastric cancer are reviewed, with the hope of providing reference for clinical diagnosis and treatment.

Helicobacter pylori(HP) associated chronic atrophic gastritis (CAG) is known to be a precancerous lesion of gastric cancer, and can act on gastric carcinogenesis through a variety of factors, but the specific mechanism of action is not yet clear. In this paper, we review the research progress of the mechanism of HP associated CAG in the development of gastric cancer to provide reference for clinical medical staff.