Objective: To observe intrapulmonary vascular volume (IPVV) in chronic obstructive pulmonary disease (COPD) patients with double gas phase CT examination, so as to investigate the application value of expiratory phase CT in assessing pulmonary vascular alterations in COPD patients. Methods: Totally 89 patients with COPD were retrospectively collected who underwent double gas phase CT examination and pulmonary function test (PFT). Pearson or Spearman correlation test was used to analyze correlations of IPVV and PFT Results:, and Steiger's Z test was used to explore the differences of correlation coefficients. Results: In inspiratory scan, there was negative correlation between IPVV and forced expiratory volume in one second (FEV1)/forced vital capacity (FVC)in whole lung (WL)and all lobes (r=-0.22-0.36, P<0.05),and there was negative correlation between IPVV and FEV1% only at right middle lobe (RML) and left lower lobe (LLL)(r=-0.25, -0.23, both P<0.05).In expiratory scan, IPVV was negatively correlated with FEV1% (r=-0.20-0.36, P<0.05) and FEV1/FVC (r=-0.24-0.39, P<0.05). Changes of IPVV under respiratory state were positively correlated with FEV1% (r=0.31-0.46, P<0.01). Conclusion: Dual-gas phase CT can be used to quantitatively evaluate IPVV and changes of IPVV in COPD patients, while expiratory CT can provide more information for assessing degree of expiratory airflow obstruction in COPD, therefore providing a new approach for further observation of pulmonary vascular changes in COPD related pulmonary hypertension.

Objective:To investigate the relationship between the left ventricular morphology, systolic function and the severity of the coronary artery lesions. Methods:A total of 589 consecutively admitted patients were studied retrospectively. All patients suspected of coronary artery disease underwent a selective coronary angiography and a survey of left ventricular ejection fraction (EF) during the hospitalization. Results:A significant correlation between the severity of the coronary artery lesions and the EF, FS, LADD, LADS, LVDS and LVDD was found through the Bivariate Correlation analysis ( P

Objective:To compare body mass index (BMI) of freshmen from 2012 to 2015, to reveal the existence of endemism. Methods:Literature research, mathematical statistics, comparative analysis and other methods were used to analyze BMI of Shenyang Medical College from 2012 to 2015. Results:The average BMI had a significant difference in nearly four years (P<0.05) . While BMI of male freshmen in nearly four years had no difference (P>0.05), but not in female (P<0.05) . Conclusion:From 2012 to 2015,basic distribution of BMI of college freshmen is normal,but BMI in the standard range decreased year by year,the proportion of overweight and obesity is increasing,while BMI of female freshmen has a tendency to decrease.

Objective To establish and validate a voxel-based method for the quantitative detection of air trapping (AT),and to explore its diagnostic value by preliminarily apply this method in chronic obstructive pulmonary disease (COPD) patients.Methods From March 2015 to February 2016,fifty healthy young volunteers and eighteen COPD patients who underwent both end-inspiratory and end-expiratory CT were included from the Digital Lung Multi-center Study.The quantitative parameters of AT and emphysema were measured by both the voxel-based quantitative method and the conventional threshold method,respectively.All subjects underwent pulmonary function examination within 3 days after CT examination.For healthy volunteers,paired sample rank-sum test was used to compare the difference of quantitative parameters between voxel-based method and threshold method,Spearman rank correlation analysis was used to investigate the correlation between quantitative parameters of the two methods and pulmonary function.For COPD patients,the distribution and extent of AT and emphysema in patients with similar degree of pulmonary function (PFT) injury were observed.Results There were varying degrees of AT in the asymptomatic youth,with a median value of 5.70％ for the voxel-based method and with a median value of 7.96％ for the conventional threshold method,there was significant difference(Z=-4.015,P＜0.001).The correlation between AT and emphysema parameters of the voxel-based method and PFT parameters (r=-0.399 and-0.494,-0.335 and-0.439 separately,P＜0.05) were higher than that of the conventional threshold method,respectively (r=-0.357 and-0.453,-0.284 and-0.391,respectively;all P＜0.05).Furthermore,the voxel-based method can classify COPD patients with similar degree of pulmonary function injury into three subtypes:AT-dominant,emphysema-dominant,and mixed.Conclusions The voxel-based AT quantitative measurement method not only has high sensitivity and accuracy,but also provides imaging phenotype for the diagnosis of COPD and provides assistant decision-making for clinical management.

OBJECTIVE To provide reference for improving the level of hospital pharmaceutical management for operating room drugs. METHODS The operating room pharmacy of our hospital utilized the concept and means of the Internet of Things （IoT） to build an intelligent IoT system for operating room drugs （hereinafter referred to as the “IoT system”）， and optimized and improved it. The quality of drug management in the operating room of our hospital during the initial phase of the IoT system （Q1 2022） and after optimization and improvement （Q1 2023） were compared by setting indicators from four aspects： quality， efficiency， cost， and satisfaction. RESULTS After more than a year of optimization and improvement， our hospital has built a traceable IoT system for the entire drug process that integrated surgical anesthesia systems and hospital information systems， with the direction of drug circulation in the operating room as the axis， using intelligent drug vehicles as the hardware foundation， and anesthesia doctor’s order information system as the software medium. After the optimization and improvement of the IoT system， the standardized score of anesthesia orders in the operating room increased from （68.5±3.5） points in the initial period to （97.0± 2.7） points； the consistency rate between accounts and materials increased from （82.40±8.85）% to （96.50±4.80）%； the time of taking medicine was shortened from （40±8） min to （12±3） min； the frequency of drug withdrawal was reduced from （36.0± 6.5） times/day to （15.5±3.0） times/day； the cost of loss drugs was decreased from （1 292.61±305.90） yuan to （594.24±195.05） yuan； the satisfaction was increased from （80.5±6.5） points to （96.0±3.0） points. All indicators were significantly improved with statistically significant differences （P＜0.05）. CONCLUSIONS The intelligent IoT system constructed by our hospital effectively ensures the accessibility， timeliness， and safety of intraoperative medication， which is conducive to improving the quality of drug management in the operating room.