Objective To explore the correlation between the variability of blood potassium level and risk of renal insufficiency(RI)in elderly heart failure(HF)patients with chronic systolic dys-function.Methods A total of 157 consecutive elderly patients with chronic HF admitted in De-partment of Cardiovascular Medicine of Wuhu First People's Hospital from January 2020 to No-vember 2022 were included,and according to whether RI occurred or not,they were divided into the RI group(36 cases)and the non-RI group(121 cases).Their general data and blood potassium variability was collected and recorded,and all of them were followed up for 6 months.Multivariate logistic regression analysis was applied for the correlation between blood potassium variability and RI in the elderly patients with chronic HF.Results The range of change,maximum fluctuation rate and coefficient of variation for blood potassium were significantly higher in the RI group than the non-RI group(P＜0.01).Multivariate logistic regression analysis showed that length of hospi-tal stay(OR=1.174,95％CI:1.067-1.292,P=0.001),age(OR=1.939,95％CI:1.309-2.872,P=0.001),albumin level(OR=0.866,95％CI:0.751-0.997,P=0.046),and range of change(OR=1.774,95％CI:1.519-2.071,P=0.016),maximum fluctuation rate(OR=1.631,95％CI:1.265-2.167,P=0.001)and coefficient of variation of blood potassium(OR=1.670,95％CI:1.212-2.230,P=0.002)were independent influencing factor for RI in the patients.Logistic re-gression analysis indicated that the range of serum potassium change≥0.80,the maximum fluctu-ation rate ≥0.40,and the coefficient of variation of serum potassium ≥8.20 were closely correla-ted with RI in elderly patients with chronic HF(P＜0.01).Conclusion High variability of blood potassium level is a risk factor for RI in elderly patients with chronic HF.

Objective: To evaluate the health risk of drinking water in Ningbo City, Zhejiang Province from 2021 to 2022, so as to provide insights into ensuring the safety of drinking water. Methods: The monitoring data of drinking water from 2021 to 2022 in Ningbo City were collected from the Chinese Disease Prevention and Control Information System. The routine indicators and disinfectant indicators (radioactivity indicators were excluded) of drinking water were evaluated according to the reference limits issued by Standards for Drinking Water Quality (GB 5749-2006), and the qualification rates were calculated. The indicators with detection rate higher than 50% were selected, and assessed the carcinogenic and non-carcinogenic risks via drinking water using the risk assessment model recommended by the United States Environmental Protection Agency. Results: A total of 1 678 samples were monitored in Ningbo City from 2021 to 2022. Sodium hypochlorite was the main disinfectant among 1 558 samples from centralized water supply (1 079 samples, 64.30%), and none of the 120 samples from decentralized water supply underwent disinfection treatment. The qualification rate of 88.38%, and the pollutants with a detection rate higher than 50% were nitrate, fluoride, trichloromethane and aluminum. The median carcinogenic risk value of trichloromethane was 2.964×10-6 (interquartile range, 3.909×10-6), and the median hazard quotient values of nitrate, fluoride, trichloromethane and aluminum were 1.631×10-2 (interquartile range, 1.361×10-2), 3.955×10-2 (3.164×10-2), 2.231×10-2 (2.942×10-2) and 2.136×10-4 (6.573×10-4), respectively. Conclusion The carcinogenic and non-carcinogenic risks through drinking water for 17 pollutants in drinking water of Ningbo City from 2021 to 2022 were at low levels.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

Objective:To assess the risk of venous thromboembolism (VTE) and anticoagulation-related bleeding of acute critical emergency patients staying in the emergency department at least 72 h, so as to improve the ability of emergency physicians to identify risk factors of VTE and their awareness of safety prevention in these patients.Methods:Multicenter emergency internal medicine patients meeting the inclusion criteria at the same time were collected. Padua and Caprini scores were used to evaluate the risk of VTE and the HAS-BLED score was used to assess the risk of anticoagulation-related bleeding.Results:A total of 930 emergency patients from 7 medical centers were enrolled in our study from January 15, 2021 to March 15, 2021. The proportion of high-risk population with VTE was 50.22% with Padua score and 78.49% with Caprini score, respectively. The proportion of high-risk bleeding (HAS-BLED score) was 40.43%.Conclusions:More than half of the acute critical ill patients who stay in emergency department for more than 72 h are at high risk of VTE. This group of patients have a relatively low risk of anticoagulation-related bleeding.

Objective:To analyze the global epidemic data of Corona virus disease 2019 (COVID-19) and the prevention and control measures, learn about the epidemic characteristics, development trend and the main factors affecting the prevention and control effect, and provide reference for scientific prevention and control of COVID-19.Methods:The data of COVID-19 mainly came from the WHO website and the websites of the United States, European and other Centers for Disease Control and Prevention (the statistical time was from the beginning of the epidemic in each country to March 31, 2022). The epidemiological characteristics and trends in the world and major countries were analyzed, and the main factors affecting the prevention and control of the epidemic were studied. SPSS19.0 software was used to collate data and statistical analysis.Results:The worldwide cumulative confirmed cases of COVID-19 reached 1 million on April 2, 2020, 10 million cases on June 28, 2020, 100 million cases on January 25, 2021, 200 million cases on August 3, 2021, 300 million cases on January 6, 2022, 400 million cases on February 8, 2022, 489 million cases on March 31, 2022. From January 2020 to March 31, 2022, the interval between each additional 100 million cases was gradually shortened (about 360 days from the beginning of the epidemic to the increase to 100 million, the average time to increase from 100 million to 200 million, from 200 million to 300 million was 170 days, and the number of confirmed cases increased from 300 million to 400 million was only 33 days), the epidemic had accelerated. The worldwide cumulative number of death case was 100 000 on April 9, 2020, 1 million on September 19, 2020, 5 million on October 31, 2021, and 6.14 million on March 31, 2022. From January to October 2021, the average time interval for an increase of 1 million deaths was 97 days. After October, the growth rate decreased, averaging 121 days. At the end of 2021, affected by the Omicron mutation, the number of infected people worldwide increased sharply. By March 31, 2022, the cumulative number of confirmed cases in all continents was Europe (181 million), Asia (141 million), North America (94.67 million), South America (56.09 million), Africa (11.55 million) and Oceania (5.58 million) from high to low. The cumulative deaths from high to low was Europe (1.77 million), North America (1.42 million), Asia (1.41 million), South America (1.28 million), Africa (0.25 million) and Oceania (8 900). The top 5 countries with cumulative confirmed cases of COVID-19 were the United States (80.14 million), India (43.03 million), Brazil (29.98 million), France (25.82 million) and the United Kingdom (21.28 million). The top five countries with accumulated deaths were the United States (980 000), Brazil (660 000), India (520 000), the United Kingdom (160 000) and France (140 000).Conclusions:COVID-19 is a global public health emergency. The epidemic has spread worldwide with strong infectivity, rapid transmission and great harm. It is suggested to focus on the prevention and control of key links, strengthen the early warning mechanism, continue to take scientific public health prevention and control measures such as vaccination, reduce severe case and death and deal with an ongoing challenge.

Background: TAM receptors (Tyro3, Axl and Mertk), as subfamily of receptor tyrosine kinases, are intracellular negative feedback regulators and play a crucial role in regulating inflammation and immune response. Aims: To study the expressions and clinical value of TAM receptors in serum and intestinal mucosa of patients with ulcerative colitis (UC). Methods: Forty⁃five patients who were initially diagnosed as active UC from June, 2020 to May, 2021 at the First Affiliated Hospital of Kunming Medical University were enrolled prospectively. Fifteen healthy subjects were served as the control group. Eight cases each in moderate UC group and healthy control group were selected randomly for detection of TAM receptors in serum and intestinal mucosa by ELISA, real⁃time PCR and Western blotting. The correlations of serum Tyro3 with routine clinical indicators of UC were analyzed by Pearson correlation coefficient. Furthermore, immunohistochemistry was used to detect the expression level of TAM receptors in intestinal mucosa in all UC patients and the healthy controls. Results: Expressions of Axl and Mertk were not fully consistent in serum and intestinal mucosa in UC patients. While the serum Tyro3 level, as well as the intestinal Tyro3 mRNA and protein expressions were consistently increased in moderate UC patients than in controls (all P<0.05). Serum level of Tyro3 was positively correlated with platelet count and C⁃reactive protein, and negatively correlated with albumin in moderate UC patients (r=0.97, r=0.96, r=-0.86, all P<0.05). Positivity rate of Tyro3 in intestinal mucosa of UC patients was positively correlated with the disease severity (all P<0.05). Conclusions: Tyro3 is closely related to UC and positively correlated with the disease severity. It might be a promising novel molecular marker and therapeutic target of UC.

Objective:To establish and validate a nomogram model for early prediction of the risk of acute pancreatitis (AP) progressing to severe acute pancreatitis (SAP).Methods:CT signs and clinical laboratory parameters of 361 AP patients admitted to our Hospital from January 2016 to July 2022 were retrospectively collected. There were 221 males (61.2%) and 140 females (38.8%). According to the Atlantic score, all patients were divided into the SAP group (64 cases) and the non-SAP (NSAP) group (297 cases). Univariate analysis was used to screen out variables with statistically significant differences. Multivariate Logistic regression analysis was used to screen out the independent risk factors of SAP, and finally a nomogram prediction model was established. Receiver operating characteristic (ROC) curve, calibration curve and decision curve (DCA) were used to evaluate the predictive efficacy, accuracy and clinical practicability of the model, and Bootstrap method was used to verify the model internally.Results:Univariate analysis and multivariate Logistic regression analysis showed that pleural effusion ( OR=7.353, 95% CI: 3.344-16.170), posterior pararenal space (PPS) involvement ( OR=3.149, 95% CI: 1.314-7.527), serum creatinine concentration (Cr) ( OR=1.027, 95% CI: 1.017-1.038) and serum calcium concentration (Ca 2+) ( OR=0.038, 95% CI: 0.009-0.166) were independent risk factors for SAP ( P<0.05). A Nomogram model was established based on these four factors. The area under the ROC curve (AUC) of this model was 0.905 (95% CI: 0.869-0.933), indicating high predictive efficiency. Internal verification showed that the model had good accuracy in predicting SAP, and C-index was 0.90. DCA analysis showed that the model had high clinical practicability. Conclusions:The Nomogram model combining pleural effusion, PPS involvement, Cr and Ca 2+ had a good effect on early prediction of SAP, which could provide a new reference tool for clinical diagnosis and treatment.

Graves disease(GD) is the most common cause of hyperthyroidism in children.GD is an autoimmune thyroid disease which is based on genetic susceptibility and exacerbated by environmental factors including infection, toxin, drugs and stress.Antithyroid drugs(ATD) are the first-line treatment for GD in children.However, many children relapsed after discontinuing ATD, and the relapse rate between different children varied.Till now, exact cause has not been clarified.Previous studies prove that sex, age, micro-element, goiter size, thyroid hormone level, TRAb level, duration of ATD treatment and genetics may affect prognosis of pediatric GD.Yet predictors precious studies identified were variable.

Humans ; Gastrointestinal Microbiome ; Diabetes Mellitus, Type 2/complications* ; Cholelithiasis