Objective: To investigate the status of heat illness, knowledge awareness and adaptive behaviors of heat wave knowledge among food delivery riders, so as to provide a basis for optimizing heat wave response measures for food delivery riders. Methods: In November 2022, food delivery riders from a large food delivery platform in Ningbo City, Zhejiang Province were selected as survey subjects using a cluster sampling method. A self-designed electronic questionnaire was used to select demographic information, work status, lifestyle behaviors and disease history, heat illness status, knowledge awareness and adaptive behaviors of heatwave. Results: A total of 911 questionnaires were distributed, and 830 valid questionnaires were recovered, resulting in a valid response rate of 91.11%. Among the respondents, 796 (95.90%) were male, and 818 (98.55%) worked full-time. The mean age was (27.75±8.00) years. A total of 470 respondents (56.63%) had a work tenure of less than 1 year. The primary working hours were 8-<12 hours, with 504 people accounting for 60.72%. There were 108 cases of heatstroke, with an occurrence rate of 13.01%. And 286 people reported heat-related symptoms, with an occurrence rate of 34.46%. The overall awareness rate of heat wave knowledge was 73.22%, while the awareness rate of heat warning signal classification was relatively low at 9.04%. The heat wave cognition score was (5.86±1.31) points. There were statistically significant differences in heat wave cognition scores among food delivery riders of different ages, educational levels, family annual income, work tenures, and work durations (all P<0.05). Regarding positive adaptive behaviors, the number of riders paying attention to weather forecasts and actively learning about preventive measures was higher (734 people each, accounting for 88.43%). Regarding negative adaptive behaviors, the number of riders who often drank ice-cold beverages was higher (509 people, accounting for 61.33%). The heat wave adaptive behavior score was (6.88±1.77) points. There were statistically significant differences in adaptive behavior scores among riders with different educational levels, family annual income, work tenures, and smoking frequency (all P<0.05). Conclusions The occurrence rates of heatstroke and heat-related symptoms among food delivery riders are relatively high. The knowledge awareness and adaptive behaviors regarding heat wave are at a moderate level. It is suggested to strengthen health education, reinforce risk cognition of heat wave, and promote positive adaptive behaviors among food delivery riders.

Objective:To prepare the bacterial outer membrane vesicles(OMV)that can express programmed death ligand 1(PD-L1)nanobody on surface,and to discuss its structural characteristics,cell compatibility,intracellular distribution,and its blocking effect on the programmed cell death protein-1(PD-1)/PD-L1 signaling axis.Methods:The pET28a-ClyA-PD-L1nb prokaryotic expression vector was constructed and transformed into Escherichia coli BL21(DE3)competent cells;the OMV was isolated from the BL21(DE3)monoclonal colonies transformed with the PD-L1nb expression vector by ultracentrifugation;the protein purification was performed using the histidine(His)tag;transmission electron microscope and nanoparticle size analyzer were used to analyze and identify the OMV;the OMV isolated from the BL21(DE3)monoclonal colonies transformed with the PD-L1nb expression vector was used as experimental group;the OMV isolated from the untransformed BL21(DE3)monoclonal colonies was used as control group;Western blotting method was used to detect the expression levels of ClyA-PD-L1nb fusion protein in the OMV in two groups;cell counting kit-8(CCK-8)assay was used to detect the activities of mouse macrophage RAW 264.7 cells,mouse triple-negative breast cancer 4T1 cells,and human embryonic kidney HEK293T cells after treated with OMV;fluorescence imaging technology was used to observe the tumor cell endocytosis of OMV;flow cytometry was used to detect the binding effect of OMV to the PD-L1 on surface of the tumor cells in PBS group,OMV-PD-L1nb group,and aPD-L1+OMV-PD-L1nb group.Results:The sodium dodecyl sulfate-polyacrylamide gel electrophoresis(SDS-PAGE)results showed that after induction of Escherichia coli,significantly thickened protein bands appeared near the predicted relative molecular mass(about 49 000),and after purification,no obvious impurity proteins existed in the lanes;the OMV-PD-L1nb with a size of about 120 nm was isolated by ultracentrifugation,and it presented a uniform spherical structure under transmission electron microscope;the Western blotting results showed that the specific band of ClyA-PD-L1nb was detected in the OMV in experimental group;the CCK-8 assay results showed that after treated with different concentrations of OMV,the viabilities of the RAW 264.7 cells,4T1 cells,and HEK293T cells were all close to 100％;the fluorescence imaging results showed that OMV-PD-L1nb was endocytosed by 4T1 cells and dispersed in the cytoplasm;compared with OMV-PD-L1nb group,the average fluorescence intensity in the cells in aPD-L1+OMV-PD-L1nb group was significantly decreased(P＜0.001).Conclusion:The OMV surface-displaying PD-L1nb,OMV-PD-L1nb,is successfully prepared and isolated;OMV-PD-L1nb shows good compatibility on mouse macrophage cells,tumor cells,and human embryonic kidney cells,can be endocytosed by tumor cells,and successfully blocks the PD-1/PD-L1 signaling pathway.

Objective To identify latent classes of medication adherence change trajectories in middle-aged and young patients with hypertension based on the Latent Growth Mixture Modeling(LGMM)and analyze its influencing factors.Methods A convenience sampling method was used to select 258 middle-aged and young patients with hypertension as study subjects.A cross-sectional sur-vey was conducted on their general information,medication beliefs,self-management behaviors,and Family Care Index.Medication adherence was assessed one day before discharge(T0),one month after discharge(T1),three months after discharge(T2),and six months after discharge(T3).LGMM was used to identify latent classes of change trajectories,and univariate analysis and multivari-ate Logistic regression analysis were conducted to explore the influencing factors.Results After ex-cluding 30 invalid data,228 patients were ultimately included in this study.LGMM fitting results showed that medication adherence change trajectories comprised three latent classes:low adherence-fluctuating group(31.58％),medium adherence-continuously increasing group(32.46％),and high adherence-gradually declining group(35.96％).Multivariate Logistic regression analysis results indi-cated that age,medication types,medication belief scores,self-management behavior scores,and Fam-ily Care Index scores were all independent influencing factors for latent classes of medication adherence change trajectories in middle-aged and young patients with hypertension(P＜0.05).Conclusion There is significant population heterogeneity in medication adherence among middle-aged and young pa-tients with hypertension,with varying change trajectories observed.Healthcare professionals should identify target populations early and formulate targeted intervention programs based on the influen-cing factors of different latent classes to effectively improve patients' medication adherence.

Objective To systematically evaluate the effects of liraglutide combined with metformin on glucose and lipid metabolism,sex hormones,reproductive function,and gastrointestinal reactions in patients with polycystic ovary syndrome(PCOS).Methods We searched databases such as PubMed,WanFang Medical Network,WanFang Database,China National Knowledge Infrastructure(CNKI),and VIP Journals to collect randomized controlled trials published from January 2011 to August 2022 on the treatment of polycystic ovary syndrome with liraglutide combined with metformin,using Revman 5.4 for the meta-analysis.Results A total of 16 case-control studies were included,involving 1436 patients.Compared to metformin alone,the combination of liraglutide and metformin significantly lowered fasting blood sugar,postprandial blood glucoseafter 2 hours,HbA1c,HOMA-IR,FINS,BMI,as well as LH,FSH,and total testosterone in patients with PCOS.It improved lipid levels,helped establish menstrual cycles,and increased the normal ovulation rate and natural conception rate in these patients.However,there was a significantly higher incidence of gastrointestinal reactions in the liraglutide plus metformin group,and the difference was statistically significant(P＜0.05).Conclusion The combination of liraglutide and metformin can improve glucose and lipid metabolism in patients with polycystic ovary syndrome(PC OS),reduce levels of LH,FSH,and total testosterone,help establish regular menstrual cycles,and increase ovulation and pregnancy rates,but it significantly increases gastrointestinal side effects.

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 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 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 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.