Objective: To evaluate the self-developed intelligent assist order system for parenteral nutrition on the control of concentration exceeding standard of positive ions.Methods: The special comments, pharmacist audit and information control were used to intervene the concentration exceeding standard of positive ions in parenteral nutrition orders and the effect of the three intervention methods were evaluated.Results: For the intervention of concentration exceeding standard of positive ions in parenteral nutrition orders, the information control was better than the special comments and pharmacists audit.Conclusion: The intelligent assist order system for parenteral nutrition can solve the problem of concentration exceeding standard and promote the rational application of parenteral nutrition in hospitals.

Objective To measure the morphological parameters of the acromion with CT and to analyze their match with the hook plate. Methods From October 2009 to February 2010,spiral CT scanning (with Somatom Emotion16) and three-dimensional reconstruction of bilateral shoulders were conducted in 61 Chinese subjects.They were 24 men and 37 women,aged from 20 to 83 years (average,45.2 years).The thickness,length and width of the acromion were measured and the subacromial shape was observed with software of the CT system to analyze the match between the hook plate and the acromion.Results The mean thickness of the acromion was 0.85 ± 0.13 cm in all subjects,0.94 ± 0.12 cm in males and 0.79 ± 0.10 cm in fe males,with a significant difference between males and females ( t =2.382,P =0.202).The mean acromion length was 2.08 ± 0.20 cm in all subjects,2.09 ± 0.21 cm in males and 2.06 ± 0.18 cm in females,with no significant difference between males and females( t =1.541,P =0.129).The mean acromion width was 3.81 ± 0.52 cm in all subjects,4.34 ± 0.32 cm in males and 3.47 ± 0.25 cm in females,with a significant difference between males and females ( t =2.296, P =0.025 ). Conclusions The acromial morphology varies significantly between genders in Chinese population,particularly in the thickness and width.It is,therefore,necessary to modify the morphological parameters of the hook plate to match better the gender difference in Chinese population.It is optimal that the hook plate should allow individualized pre-moulding to enhance its therapeutic efficacy.

Objective To explore the correlation between skeletal muscle fat content and insulin resistance(IR)in patients with type 2 diabetes mellitus(T2DM),and to evaluate the diagnostic value of skeletal muscle fat quantitative parameters for IR.Methods During January 2018 to January 2021,150 T2DM patients as observation group(T2DM group)and 100 healthy subjects as control group(NC group)were selected.All subjects underwent magnetic resonance imaging quantitatively analyzed skeletal muscle fat content,including intermuscular fat(IMAT),adipose tissue beneath fascia(SFAT)and subcutaneous fat(SCAT).Receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of skeletal muscle fat quantitative parameters for IR in T2DM patients.Results The levels of IMAT and SFAT were higher in T2DM group than those in NC group[(10.05±1.34)%vs(7.16±2.06)%,(3.64±0.54)%vs(3.40±0.75)%,P<0.05],while the level of SCAT was lower than in T2DM group than in NC group[(20.16±6.34)%vs(24.97±6.57)%,P<0.05].Pearson correlation analysis showed that IMAT and SFAT were positively correlated with HbA1c and HOMA-IR(P<0.05),while SCAT was negatively correlated with HbA1c and HOMA-IR(P<0.05).ROC curve analysis showed that the area under the curve of IMAT,SFAT,and SCAT for the diagnostic value of T2DM combined with IR were 0.716,0.667 and 0.736,with sensitivities of 75.4%,72.9%and 76.4%,and specificity of 71.4%,65.2%and 68.1%.Conclusion Skeletal muscle fat contentis associated with IR.The quantitative parameters of skeletal muscle fat have good diagnostic efficacy for T2DM complicated with IR.

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