Influencing factors associated with delayed time in pre-hospital emergency medical care for hypertensive emergency in the main urban area of Chongqing / 上海预防医学

ObjectiveTo investigate the influencing factors associated with delayed time in pre-hospital emergency medical care in patients with hypertensive emergency in the main urban area of Chongqing. MethodsA total of 1 246 patients with hypertension in the main urban area of Chongqing from March 2018 to August 2021 were included in this study. The delayed time in the pre-hospital emergency medical care was determined. A multivariate linear regression model was used to analyze the influencing factors. ResultsThe delayed time in the pre-hospital emergency medical care for the patients with hypertensive emergency was concentrated in 0‒12 h， with the average of （5.89±1.96） h. The delayed time differed significantly by gender， age， history of atrial fibrillation， diabetes， educational level， time of onset， mode of transportation， awareness of hypertensive emergency， blood pressure at the onset， and presence of persons at the onset of emergency （P<0.05）. Multivariate linear regression analysis showed that educational level， time of onset， blood pressure at the onset， awareness of hypertensive emergency， presence of persons at the onset were linearly correlated with delayed time in the pre-hospital medical care for hypertensive emergencies （P<0.05）. ConclusionDelay in pre-hospital medical care is prevalent for patients with hypertensive emergency in the main urban area of Chongqing. The delayed time is associated with multiple factors， such as educational level， time of onset， blood pressure at onset， awareness of hypertensive emergency， and presence of persons at onset. It warrants further improvement in the interventions to reduce the delay in the pre-hospital medical care.

Reasonably conduct the multiple linear regression analysis combined with the propensity score analysis / 四川精神卫生

The purpose of this paper was to introduce how to combine the propensity score analysis to reasonably carry out multiple linear regression analysis. Firstly， it introduced 3 basic concepts related to the propensity score analysis. Secondly， it presented the core contents of the propensity score analysis， that was， three matching methods. Thirdly， through an epidemiological survey example， it gave the whole process of how to use SAS software for the analysis. The contents were as follows： ① for the original data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ② directly implement the multiple linear regression analysis for the original data set； ③ the propensity score analysis was used to generate the matched data set； ④ for the matched data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ⑤ a reasonable multiple linear regression analysis was used for the matched data set.

Quantitative analysis of DNA methylation by pyrosequencing and MassARRAY technique for age estimation: a comparative study / 南方医科大学学报

OBJECTIVE@#To study the difference in age estimation based on quantitative analysis of DNA methylation by MassARRAY and pyrosequencing techniques.@*METHODS@#The methylation levels of 9 CpG sites from two independent whole blood sample sets (containing 65 and 62 samples) were detected using MassARRAY and pyrosequencing techniques. Z-score transformation was used to remove the batch effects of different techniques, and a linear regression model was used for age prediction.@*RESULTS@#For age prediction using the MassARRAY system, the 65 samples showed a mean absolute difference (MAD) of 2.49 years before Z-score transformation of the data and 2.44 years after the transformation, similar to the results in the 62 samples (MAD of 3.36 years before and 3.42 years after Z-score transformation). For data typed from pyrosequencing, the 65 samples showed a MAD of 4.20 years before and 2.76 years after data Z-score transformation, also similar to the results in the 62 samples (MAD of 3.92 years before and 3.63 years after data transformation).@*CONCLUSIONS@#Z-score transformation can effectively reduce the system batch effect between MassARRAY and pyrosequencing. Data from the MassARRAY system allows direct age estimation without further data processing, while the pyrosequencing data may increase the error in age estimation, which can be corrected by Z-score transformation of the data.

Study on quality of standard decoction of Coptidis Rhizoma based on traditional decoction process / 中国中药杂志

In order to determine the quality evaluation method for standard decoction of Coptidis Rhizoma,15 batches of standard decoction of Coptidis Rhizoma were prepared by using standardized process. Parameters such as traits,p H value,indicative component content,fingerprint similarity,composition transfer rate and dry extract rate were selected as the indexes for quality evaluation. Similarity evaluation and cluster analysis were performed for HPLC fingerprint of standard decoction,and mathematical model was used to study the correlation between dry extract rate,berberine content,berberine transfer rate in standard decoction and berberine content in decoction pieces. The results showed that the similarity of fingerprints was greater than 0. 99 for these 15 batches of standard decoctions of Coptidis Rhizoma. In cluster analysis,the standard decoctions of Coptidis Rhizoma from 4 producing areas were classified into 3 categories,consistent with the content determination results,indicating that there were quality differences among different producing areas.R2 in three linear regression mathematical models established was all greater than 0. 9,with significant difference. The validation of three batches of data showed that the models had good accuracy. Therefore,this model can be used to predict the quality of standard decoction prepared from different Coptidis Rhizoma pieces. In the standard decoction process established in this study,the integrity of the traditional process was greatly preserved,and the established quality evaluation method could be used to comprehensively examine the quality of the standard decoction,which can provide a demonstration for the related research of water extraction preparation containing Coptidis Rhizoma pieces.

Explore correlation between quality of standard decoction and marker component amygdalin of decoction slices of blazing Armeniacae Semen Amarum / 中草药

Objective To explore the relevance between the quality of standard decoction and the marker component amygdalin of decoction slices of blazing Armeniacae Semen Amarum (BASA) by mathematical model. Methods The BASA standard decoction was prepared, and three linear regression models of the amygdalin content and dry extract rate, the content of amygdalin in standard decoction and decoction slices, and the transfer rate in standard decoction and the content of amygdalin in decoction slices were established by using Design-Expert 8.0.6 software, respectively. Results The dry extract rate of BASA was 8.97%-12.12%; The content of amygdalin in standard decoction was 21.74%-30.32%; And the transfer rate of amygdalin was 70.39%-90.54%. The R2 values of three linear regression models were all greater than 0.8. The P values of each partial regression coefficient were less than 0.05, which indicated that the three models were significant. Then the accuracy of three linear regression models was verified. The relative deviation between the predicted and measured values was less than 10%, and the average relative deviation was not greater than 5%. Conclusion The models established in this study could predict the quality of standard decoction prepared from different BASA, and provide a certain reference value for the establishment of standard decoction quality standard.

Study on purchase management of medical equipment based on ternary linear regression model / 中国医学装备

Objective:To pursue a scientific approach for medical equipment purchase, set up a standard purchase model, and try to transform the extensive and empirical way in purchase management into a scientific way.Methods: Analyze and test the data using linear regression method on yearly revenue, equipment value, yearly volume of work and yearly maintenance and repairs fee for 25 kinds of equipment in one hospital.Results: Assuming other parameters do not change, for each additional 10,000 yuan in equipment value, the revenue of the hospital increases by 14,858 yuan; for each additional 10,000 times in the volume of work, the revenue increases by 2,214,407 yuan; for each additional 10,000 yuan in maintenance, the revenue decreases by 132,683 yuan.Conclusion: Based on the scientific approach on equipment purchase management, we should improve the efficiency of medical equipment usage, scientifically mange the maintenance and repairs of equipment, in order to provide more accurate information and data for equipment purchase in hospital and make the purchase management more scientific, objective and rational.

Population Forecasts for Bangladesh, Using a Bayesian Methodology.

Population projection for many developing countries could be quite a challenging task for the demographers mostly due to lack of availability of enough reliable data. The objective of this paper is to present an overview of the existing methods for population forecasting and to propose an alternative based on the Bayesian statistics, combining the formality of inference. The analysis has been made using Markov Chain Monte Carlo (MCMC) technique for Bayesian methodology available with the software WinBUGS. Convergence diagnostic techniques available with the WinBUGS software have been applied to ensure the convergence of the chains necessary for the implementation of MCMC. The Bayesian approach allows for the use of observed data and expert judgements by means of appropriate priors, and a more realistic population forecasts, along with associated uncertainty, has been possible.