Colorectal inflammatory cancer transformation poses a major risk to patients with colitis. Patients with chronic intestinal inflammation have an approximately 2-3 folds increased risk of developing colorectal cancer (CRC). Unfortunately, there is currently no effective intervention available. Huangqin decoction (HQD), a well-known traditional Chinese medicine (TCM) formula, is frequently clinically prescribed for treating patients with colitis, and its active ingredients have effective antitumour efficacy. Nonetheless, the mechanism of HQD-mediated prevention of colorectal inflammatory cancer transformation remains unclear. A strategy integrating metagenomic, lipidomic, and messenger RNA (mRNA) sequencing analysis was used to investigate the regulatory effects of HQD on the gut microbiome, metabolism and potential mechanisms involved in colorectal inflammatory cancer transformation. Our study revealed that HQD suppressed colorectal inflammatory cancer transformation, which was associated with enhanced intestinal barrier function, decreased the inflammatory response, and regulation of the gut microbiome. Notably, cohousing experiments revealed that the transfer of the gut microbiome from HQD-treated mice largely inhibited the pathological transformation of colitis. Moreover, gut microbiome transfer from HQD-treated mice primarily resulted in the altered regulation of fatty acid metabolism, especially the remodeling of arachidonic acid metabolism, which was associated with the amelioration of pathological transformation. Arachidonic acid metabolism and the key metabolic enzyme arachidonic acid 12-lipoxygenase (ALOX12) were affected by HQD treatment, and no obvious protective effect of HQD was observed in Alox 12 ^-/- mice, which revealed that ALOX12 was a critical mediator of HQD protection against colorectal inflammatory cancer transformation. In summary, multiple omics analyses were applied to produce valuable data and theoretical support for the application of HQD as a promising intervention for the transformation of inflammatory CRC.

Colorectal inflammatory cancer transformation poses a major risk to patients with colitis.Patients with chronic intestinal inflammation have an approximately 2-3 fold increased risk of developing colorectal cancer(CRC).Unfortunately,there is currently no effective intervention available.Huangqin decoction(HQD),a well-known traditional Chinese medicine(TCM)formula,is frequently clinically prescribed for treating patients with colitis,and its active ingredients have effective antitumour efficacy.Nonetheless,the mechanism of HQD-mediated prevention of colorectal inflammatory cancer transformation remains unclear.A strategy integrating metagenomic,lipidomic,and messenger RNA(mRNA)sequencing analysis was used to investigate the regulatory effects of HQD on the gut microbiome,metabolism and potential mechanisms involved in colorectal inflammatory cancer transformation.Our study revealed that HQD suppressed colorectal inflammatory cancer transformation,which was associated with enhanced in-testinal barrier function,decreased the inflammatory response,and regulation of the gut microbiome.Notably,cohousing experiments revealed that the transfer of the gut microbiome from HQD-treated mice largely inhibited the pathological transformation of colitis.Moreover,gut microbiome transfer from HQD-treated mice primarily resulted in the altered regulation of fatty acid metabolism,especially the remodeling of arachidonic acid metabolism,which was associated with the amelioration of pathological transformation.Arachidonic acid metabolism and the key metabolic enzyme arachidonic acid 12-lipoxygenase(ALOX12)were affected by HQD treatment,and no obvious protective effect of HQD was observed in Alox12-/-mice,which revealed that ALOX12 was a critical mediator of HQD protection against colorectal inflammatory cancer transformation.In summary,multiple omics analyses were applied to produce valuable data and theoretical support for the application of HQD as a promising intervention for the transformation of inflammatory CRC.

Objective To investigate the relationship between insomnia,gastrointestinal symptoms,and glycosylated hemoglobin(HbA1c)levels in individuals diagnosed with type 2 diabetes mellitus(T2DM),as well as the related influencing factors.Methods A total of 910 T2DM patients treated in our multicenter from January 2022 to December 2022 were enrolled in this study.General information(gender,age,smoking and drinking history,exercise,course of disease,treatment and complications),HbA1c,Athens Insomnia Scale(AIS)scores and Gastrointestinal Symptoms Rating Scale(GSRS)scores of patients were collected.The differences of sleep and gastrointestinal symptoms between groups were analyzed,and the correlation between the differences and HbA1c was analyzed.Furthermore,the risk factors for non-standard HbA1c were analyzed.Results The AIS score and GSRS score in the HbA1c control group were less than those in the non-standard group(P＜0.01).Insomnia was reported by 37.0％of T2DM patients,and the HbA1c level in the insomnia group was significantly higher than that in the non-insomnia group(10.00％±2.38％vs.8.26％±1.73％,P＜0.01).Gastrointestinal symptoms were present in 57.5％of T2DM patients,and the HbA1c levels in the group with gastrointestinal symptoms were significantly higher than those in the group without gastrointestinal symptoms(9.26％±2.23％vs.8.43％±1.98％,P＜0.01).Furthermore,26.3％of T2DM patients experienced both insomnia and gastrointestinal symptoms.Remarkably,the HbA1c levels in the group with both insomnia and gastrointestinal symptoms were significantly higher than those in the group without either condition(10.18％±2.44％vs.8.45％±1.86％,P＜0.01).Correlation analysis demonstrated a significant association between sleep quality,gastrointestinal function,and HbA1c levels(P＜0.01).The logistic regression analysis result revealed that age,GSRS score,AIS score,and the presence of insomnia combined with gastrointestinal symptoms were independent risk factors for predicting HbA1c≥6.5％(P＜0.01).Having both insomnia and gastrointestinal symptoms concurrently was the strongest risk factor for substandard HbA1c control,and the risk of blood sugar control may increase about 5 times when both appear together.Conclusion Insomnia and gastrointestinal symptoms are common comorbidities in T2DM patients,showing a cross-interfering relationship,and they appear together with poor blood sugar control,interact causally,and amplify each other.

Objective:To construct a scientific performance evaluation index system for online contracted nurses and provide evaluation tools for managers to evaluate their performance.Methods:Based on the KRIF theory, literature search, qualitative interview results initially constructed performance evaluation indexes of online contracted nurses, used Delphi method to carry out two rounds of expert correspondence from April to July, 2023, and used hierarchical analysis to determine the performance evaluation index system of online contracted nurses and the weights of the indexes at all levels.Results:The questionnaire recovery rate of the two rounds of expert correspondence was 18/18, the coefficient of basis of judgment was 0.91, the coefficient of familiarity was 0.89 and 0.86, the coefficient of authority was 0.90 and 0.89, and the coefficient of coordination of experts was 0.222 and 0.190, respectively (all P<0.001), and finally formed the performance evaluation index system of online contracted nurses including 4 first-level indexes, 9 second-level indexes, and 32 tertiary indicators. Conclusions:The performance evaluation index system of online contracted nurses based on the KRIF model covers various aspects, is scientific, reliable and comprehensive, and can provide a reference basis for the performance evaluation management of online nurses.

Objective:To construct a scientific performance evaluation index system for online contracted nurses and provide evaluation tools for managers to evaluate their performance.Methods:Based on the KRIF theory, literature search, qualitative interview results initially constructed performance evaluation indexes of online contracted nurses, used Delphi method to carry out two rounds of expert correspondence from April to July, 2023, and used hierarchical analysis to determine the performance evaluation index system of online contracted nurses and the weights of the indexes at all levels.Results:The questionnaire recovery rate of the two rounds of expert correspondence was 18/18, the coefficient of basis of judgment was 0.91, the coefficient of familiarity was 0.89 and 0.86, the coefficient of authority was 0.90 and 0.89, and the coefficient of coordination of experts was 0.222 and 0.190, respectively (all P<0.001), and finally formed the performance evaluation index system of online contracted nurses including 4 first-level indexes, 9 second-level indexes, and 32 tertiary indicators. Conclusions:The performance evaluation index system of online contracted nurses based on the KRIF model covers various aspects, is scientific, reliable and comprehensive, and can provide a reference basis for the performance evaluation management of online nurses.

Objective:To construct a training course system for online appointment nurses based on post competence,and to provide references for the training and development of online appointment nurses in China.Methods:From January 2021 to May 2022, based on the theory of post competence, literature review, policy research, questionnaire survey and and expert consultation were used to establish the training course system of online appointment nurses.Results:The effective recovery rates of the two rounds of expert consultation questionnaires were 18/18 and 17/18, respectively; the expert authority coefficient was 0.928 and 0.938, respectively; and the Kendall harmony coefficient was 0.185 and 0.284, respectively, the differences were statistically significant (all P<0.001). The final content of the training course system for online appointment nurses included 4 first-level indicators,which were professional knowledge, professional skills, professional abilities and traits, 19 second-level indicators and 58 third-level indicators. Conclusions:The training course system of online appointment nurses based on post competency is scientific, reasonable and prominent,which can provide reference for training of online appointment nurses in China.

Objective:To survey the job satisfaction of online contracted nurses who provide " Internet plus nursing services" for reference of hospital managers in improving their management mechanism in this regard.Methods:Based on the two-factor theory, a questionnaire was designed and a purposive sampling method was used to survey the online contracted nurses in Anhui province in April and May 2022. The motivational factors included such five dimensions as workload, work content, colleague relationship, doctor-patient relationship, and their own development, and the healthcare factors included such three dimensions as salary, job recognition and social status. The questionnaire data and job satisfaction scores were analyzed descriptively, and the correlation between the overall job satisfaction of the online contracted nurses, while each dimension was analyzed by Pearson correlation analysis, and the influence of each dimension on job satisfaction was analyzed by stepwise regression analysis.Results:A total of 335 valid questionnaires were recovered. The mean score of job satisfaction of online contracted nurses was (2.26±0.38), with the highest score of (2.56±0.53) for salary satisfaction and the lowest score of (1.78±0.67) for job recognition, and each dimension was positively correlated with job satisfaction ( r=0.34-0.88, P<0.01). Regression analysis showed that workload ( B=0.07), salary ( B=0.11), job content ( B=0.23), social status ( B=0.12), and self-development ( B=0.15) were the main factors affecting their job satisfaction ( P<0.01). Conclusions:The job satisfaction of online contracted nurses was at a medium level, mainly influenced by workload, salary, job content, social status and their own development. It is recommended that hospitals implement multiple targeted measures to improve the job satisfaction of online contracted nurses and promote the healthy development of " Internet plus nursing services" .

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class

To predict the epidemiological trend of coronavirus disease 2019 (COVID-19) by mathematical modeling based on the population mobility and the epidemic prevention and control measures. : As of February 8，2020，the information of 151 confirmed cases in Yueqing，Zhejiang province were obtained，including patients' infection process，population mobility between Yueqing and Wuhan，etc. To simulate and predict the development trend of COVID-19 in Yueqing, the study established two-stage mathematical models，integrating the population mobility data with the date of symptom appearance of confirmed cases and the transmission dynamics of imported and local cases. : It was found that in the early stage of the pandemic，the number of daily imported cases from Wuhan (using the date of symptom appearance) was positively associated with the number of population travelling from Wuhan to Yueqing on the same day and 6 and 9 days before that. The study predicted that the final outbreak size in Yueqing would be 170 according to the number of imported cases estimated by consulting the population number travelling from Wuhan to Yueqing and the susceptible-exposed-infectious-recovered (SEIR) model; while the number would be 165 if using the reported daily number of imported cases. These estimates were close to the 170，the actual monitoring number of cases in Yueqing as of April 27，2020. : The two-stage modeling approach used in this study can accurately predict COVID-19 epidemiological trend.
COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Models, Theoretical ; Pandemics ; SARS-CoV-2