On August 24 2024, Xiaoshan District Center for Disease Control and Prevention, Hangzhou City, received a report of two cases of varicella infection among staff in the intensive care unit (ICU) of a hospital in its jurisdiction. The center immediately organized personnel to conduct an epidemiological investigation of the cases and their close contacts. The index case was a patient admitted to the ICU who had large areas of red rash and pustules on the chest, back, and right axilla. This case was diagnosed with herpes zoster by a dermatology consultation within the hospital. The other nine secondary cases were all nursing staff in the ICU, who were clinically diagnosed with varicella between August 21 and September 1, with an attack rate of 14.06%. All secondary varicella cases had a history of contact with the herpes zoster case and no history of varicella infection. Their varicella vaccination history was unknown. Based on the results of the on-site epidemiological and sanitary investigations, it was determined that this was an outbreak of varicella in the hospital caused by a herpes zoster case. After the last case was diagnosed, no new cases were reported within the longest incubation period (21 days), and the outbreak was declared over on September 21. Close contact with the herpes zoster case was likely the main cause of the outbreak. This highlights the need for early identification and isolation of suspected herpes zoster cases in hospitals in the future, as well as enhanced protective measures to prevent nosocomial infections.

  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.

Gastric cancer is one of the most common malignant tumors in the world. Patients with gastric cancer are often treated by surgery, radiotherapy, chemotherapy or immunotherapy, but the clinical efficacy and prognosis are poor. As an important member of ADAMs family, a disintegrin and metalloprotease 17 (ADAM17) is significantly more highly expressed in gastric cancer than in adjacent tissues. It participates in the occurrence and development of gastric cancer by mediating EGFR, TNF-α, TGF-β/Smad, Notch and Wnt, FoxM1-ADAM17 and EGFR/ERK/SP1. The high expression of ADAM17 is also closely related to the poor prognosis of gastric cancer, suggesting that ADAM17 can be used as a biological index to predict the development and prognosis of gastric cancer and has great potential to become a new therapeutic target for gastric cancer. In this paper, the mechanism, treatment and prognosis of ADAM17 in the development of gastric cancer are reviewed, in order to provide new ideas for clinical diagnosis and treatment of gastric cancer.

ObjectiveUltra-high performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UHPLC-Q-Orbitrap HRMS） was used to identify the metabolites of limonin in rats， and to explore the gender differences in the distribution of prototype components and metabolites in rats after single dose intragastric administration of limonin， as well as to speculate the metabolic pathways. MethodThe separation was performed on a Thermo Scientific Accucore™ C₁₈ column（3 mm×100 mm， 2.6 μm） with 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） as mobile phase in a gradient elution mode（0-1 min， 5%B； 1-6 min， 5%-20%B； 6-18 min， 20%-50%B； 18-23 min， 50%-80%B； 23-25 min， 80%-95%B； 25-30 min， 95%B） at a flow rate of 0.3 mL·min^-1 and a column temperature of 30 ℃. MS data of biological samples were collected under the positive ion mode of electrospray ionization（ESI） and in the scanning range of m/z 100-1 500. Plasma， tissues（heart， liver， spleen， lung， kidney， stomach and small intestine）， urine and fecal samples were collected and prepared after intragastric administration， and the prototype component and metabolites of limonin were identified. ResultThe prototype component of limonin were detected in the feces， stomach， small intestine of female and male rats， and in the heart， liver， spleen， lung and kidney tissues of female rats. A total of 23 metabolites related to limonin were detected in rats， of which 2， 1， 5， 4， 23 metabolites were detected in liver， stomach， small intestine， urine and feces， respectively， and the main metabolic pathways were hydrolysis， reduction， hydroxylation and methylation， etc. The distribution of some metabolites differed between male and female rats. ConclusionThe prototype component of limonin are mainly distributed in the stomach and small intestine in rats， and the distribution of prototype component and some metabolites are different by gender. Limonin is mainly excreted through feces with phase Ⅰ metabolites as the main ones. The results of this study can provide a reference for further elucidation of the effect of gender differences on the metabolism of limonin in vivo and its mechanism of action.

Objective:To explore the effect of core stability training on rehabilitation of patients after lumbar fusion.Methods:From June 2018 to December 2019, 90 patients with lumbar fusion admitted to Wuxi Second Hospital Affiliated to Nanjing Medical University were selected by convenience sampling. The patients were divided into control group and training group according to the method of random number table, with 45 cases in each group. The control group received routine postoperative rehabilitation nursing, while the training group carried out postoperative core stability training nursing. The rehabilitation effects of the two groups were observed.Results:The scores of Numerical Rating Scale (NRS) in the training group were lower than those in the control group at 2, 4, 12 and 24 weeks postoperatively, and the difference were statistical ( P<0.05) . The scores of Oswestry Disability Index (ODI) in the training group 12 and 24 weeks after operation were lower than those in the control group, with statistically significant differences ( P<0.05) . Conclusions:The core stability training nursing is helpful to improve the functional recovery after lumbar fusion, reduce the degree of postoperative pain, and then increase the rehabilitation effect of patients.

Reflux Esophagitis (RE) is a gastroesophageal motility disorder mainly caused by lower esophageal sphincter disorder caused by a variety of injury factors, acid-suppressing drugs such as Proton Pump Inhibitors (PPIs) are often used clinically. With the increase of PPIs-resistant reflux esophagitis cases, the demand for the pharmacokinetics and pharmacodynamics of acid-suppressing drugs is higher. In recent years, the emergence of a new class of acid-suppressing drugs, potassium-competitive acid blockers (P-CABs), has solved some clinical deficiencies of traditional proton pump inhibitors. It has the characteristics of effective, longer-lasting acid suppression, the inhibitory effect on gastric acid secretion is not affected by the state of gastric acid secretion, the individual differences in drug metabolism and efficacy are smaller, and the drug efficacy is not affected by food intake or not. It has obvious advantages in the efficacy of severe erosive esophagitis and PPIs-resistant severe erosive esophagitis, and is more cost-effective, and is expected to replace PPI as the first-line treatment for reflux esophagitis.

Tumor microenvironments (TMEs) are closely related to tumor resistance. TMEs are divided into cellular components and acellular components. The cellular components include tumor-associated macrophages, tumor-associated fibroblasts, mesenchymal stem cells, etc., which can enhance tumor resistance through recruitment and secretion of a variety of protective cytokines; acellular components such as extracellular matrix, hypoxia and acidification, etc., can mediate drug resistance by constructing physical barriers, affecting tumor cell growth and metabolism. Studying the mechanisms of TME-mediated drug resistance and reshaping TMEs can provide new strategies for anti-tumor therapy.

Objective: Using three models too estimate excess mortality associated with influenza of Shanxi Province during 2013-2017. Methods: Mortality data and influenza surveillance data of 11 cities of Shanxi Province from the 2013-2014 through 2016-2017 were used to estimate influenza-associated all cause deaths, circulatory and respiratory deaths and respiratory deaths. Three models were used: (i) Serfling regression, (ii)Poisson regression, (iii)General line model. Results: The total reported death cases of all cause were 157 733, annual death cases of all cause were 39 433, among these cases, male cases 93 831 (59.50%), cases above 65 years old 123 931 (78.57%). Annual influenza-associated excess mortality, for all causes, circulatory and respiratory deaths, respiratory deaths were 8.62 deaths per 100 000, 6.33 deaths per 100 000 and 0.68 deaths per 100 000 estimated by Serfling model, respectively; and 21.30 deaths per 100 000, 16.89 deaths per 100 000 and 2.14 deaths per 100 000 estimated by General line model, respectively; and 21.76 deaths per 100 000, 17.03 deaths per 100 000 and 2.05 deaths per 100 000, estimated by Poisson model, respectively. Influenza-related excess mortality was higher in people over 75 years old; influenza-associated excess mortalityfor all causes, circulatory and respiratory deaths, respiratory deaths were 259.67 deaths per 100 000, 229.90 deaths per 100 000 and 32.63 deaths per 100 000, estimated by GLM model, respectively; and 269.49 deaths per 100 000, 233.69 deaths per 100 000 and 31.27 deaths per 100 000, estimated by Poisson model,respectively. Conclusion Excess mortality associated with influenza mainly caused by A (H3N2), Influenza caused the most associated death amongold people.

Objective Using three models too estimate excess mortality associated with influenza of Shanxi Province during 2013-2017. Methods Mortality data and influenza surveillance data of 11 cities of Shanxi Province from the 2013-2014 through 2016-2017 were used to estimate influenza?associated all cause deaths, circulatory and respiratory deaths and respiratory deaths. Three models were used: (i) Serfling regression, (ii)Poisson regression, (iii)General line model. Results The total reported death cases of all cause were 157 733, annual death cases of all cause were 39 433, among these cases, male cases 93 831 (59.50%), cases above 65 years old 123 931 (78.57%). Annual influenza?associated excess mortality, for all causes, circulatory and respiratory deaths, respiratory deaths were 8.62 deaths per 100 000, 6.33 deaths per 100 000 and 0.68 deaths per 100 000 estimated by Serfling model, respectively; and 21.30 deaths per 100 000, 16.89 deaths per 100 000 and 2.14 deaths per 100 000 estimated by General line model, respectively; and 21.76 deaths per 100 000, 17.03 deaths per 100 000 and 2.05 deaths per 100 000, estimated by Poisson model, respectively. Influenza?related excess mortality was higher in people over 75 years old; influenza?associated excess mortalityfor all causes, circulatory and respiratory deaths, respiratory deaths were 259.67 deaths per 100 000, 229.90 deaths per 100 000 and 32.63 deaths per 100 000, estimated by GLM model, respectively; and 269.49 deaths per 100 000, 233.69 deaths per 100 000 and 31.27 deaths per 100 000, estimated by Poisson model,respectively. Conclusion Excess mortality associated with influenza mainly caused by A (H3N2), Influenza caused the most associated death amongold people.

Objective Using three models too estimate excess mortality associated with influenza of Shanxi Province during 2013-2017. Methods Mortality data and influenza surveillance data of 11 cities of Shanxi Province from the 2013-2014 through 2016-2017 were used to estimate influenza?associated all cause deaths, circulatory and respiratory deaths and respiratory deaths. Three models were used: (i) Serfling regression, (ii)Poisson regression, (iii)General line model. Results The total reported death cases of all cause were 157 733, annual death cases of all cause were 39 433, among these cases, male cases 93 831 (59.50%), cases above 65 years old 123 931 (78.57%). Annual influenza?associated excess mortality, for all causes, circulatory and respiratory deaths, respiratory deaths were 8.62 deaths per 100 000, 6.33 deaths per 100 000 and 0.68 deaths per 100 000 estimated by Serfling model, respectively; and 21.30 deaths per 100 000, 16.89 deaths per 100 000 and 2.14 deaths per 100 000 estimated by General line model, respectively; and 21.76 deaths per 100 000, 17.03 deaths per 100 000 and 2.05 deaths per 100 000, estimated by Poisson model, respectively. Influenza?related excess mortality was higher in people over 75 years old; influenza?associated excess mortalityfor all causes, circulatory and respiratory deaths, respiratory deaths were 259.67 deaths per 100 000, 229.90 deaths per 100 000 and 32.63 deaths per 100 000, estimated by GLM model, respectively; and 269.49 deaths per 100 000, 233.69 deaths per 100 000 and 31.27 deaths per 100 000, estimated by Poisson model,respectively. Conclusion Excess mortality associated with influenza mainly caused by A (H3N2), Influenza caused the most associated death amongold people.