Objective To study the association between blood pressure variability and left ventricular hypertrophy in elderly isolated systolic hypertension.Methods Active blood pressure was applied to measure average BP,24 hour daytime and night BP variability,meanwhile,left ventricular interior diameter,the thickness of interventricular septum and left ventricular posterior were taken using echocardiagram so as to measure left ventricular weight( LVW) and left ventricular weight index (LVMI) in 31 elderly isolated systolic hypertension and 24 controls.Results BP variability, LVM and LVMI in 31 cases were higher than that of 24 controls.Conclusion BP variability and average BP are related to LVH.

Objective:To observe the clinical effect of acupuncture on chronic obstructive pulmonary disease (COPD), and the improvements of patients’ pulmonary ventilation function and 6-minute walk test (6-MWT) distance. Methods:A total of 80 COPD patients [grade 3-4 in Global Initiative for Chronic Obstructive Lung Disease (GOLD), qi deficiency of the lung and kidney in traditional Chinese medicine (TCM) pattern] were randomly allocated into a treatment group (n=40) and a control group (n=40). Salmeterol Xinafoate and Fluticasone Propionate powder (Seretide,50μg/250μg) for inhalation was used for basic treatment in both groups (once in the morning and once in the evening). Patients in the treatment group received acupuncture at Feishu (BL 13), Shenshu (BL 23), Qihai (CV 6), Guanyuan (CV 4), Dingchuan (EX-B 1), Danzhong (CV 17) and Zusanli (ST 36) twice a week for 3 months. After 3 months of treatment, clinical effects, lung ventilation functions and 6-MWT distance were observed and compared in the two groups. Results:After 3 months of treatment, the total effective rate was 95.0% in the treatment group, versus 80.0% in the control group, showing a statistical difference (P<0.05); the phlegm expectoration, dyspnea and shortness of breath were more significantly improved in the treatment group than those in the control group (P<0.01,P<0.05); and the 6-MWT distance and forced expiratory volume in 1 second percentage of predicted value (FEV1%) were more significantly improved in the treatment group than those in the control group (P<0.05,P<0.01). Conclusion:Seretide inhaler combined with acupuncture can improve signs and symptoms in COPD patients, increase the 6-MWT distance, improve FEV1% and obtain better results than Seretide alone.

ObjectiveTo identify the pathogens causing complicated skin and soft tissue infection and their susceptibility to antibiotics.MethodsThe clinical data on and aetiological examination findings in 99 cases of complicated skin and soft tissue infection were retrospectively analyzed.ResultsTotally,99 bacterial strains were isolated,including 51 Gram-positive bacteria(29 community-associated,22 hospital-acquired)and 48 Gram-negative bacteria ( 13 community-associated,35 hospital-acquired).Of the Gram-positive bacteria,staphylococci were the most common bacteria,which showed a high resistance rate to erythromycin (95.45％),penicillin G(72.73％),clindamycin,oxacillin and levofloxacin,but a high sensitivity to teicoplanin,vancomycin,linezolid,fusidic acid and moxifloxacin.Besides,the community-associated staphylococci possessed a higher sensitivity to trimethoprim + sulfamethoxazole,tetracycline and ciprofloxacin than the hospital-acquired staphylococci did(all P ＜ 0.05).Notably,11 of the 99 isolates were identified as methicillin-resistant staphylococcus aureus(MRSA).The four predominant Gram-negative bacteria were Pseudomonas aeruginosa,Klebsiella pneumonia,Escherichia coliand Acinetobacter baumannii.These Gram-negative bacteria,especially the hospital-acquired Gram-negative bacteria,exhibited high resistance to levofloxacin,trimethoprim + sulfamethox azole and gentamicin but favorable sensitivity to carbapenems,tobramycin,piperacillin and tazobactam.ConclusionsComplicated skin and soft tissue infection is caused by various species of bacteria with high resistance to common antibiotics.Therefore,the results of drug sensitive tests should serve as the basis for proper use of antibiotics in the treatment of complicated skin and soft tissue infection.

Objective:To analyze Traditional Chinese Medicine(TCM) prescriptions in COVID-19 patients in Shanghai area.Methods:Two hundred and forty patients were enrolled in the study, including 19 mild cases, 199 moderate cases, 16 severe case and 6 critical cases. The COVID-19 formula in Shanghai area was extracted and input in TCM Inheritance platform. Data association method such as software association rules,improved mutual information method,complex system entropy clustering,unsupervised entropy hierarchical clustering were used to analyze the frequency,herb flavor and meridian, combination rule and core combination of different types of Chinese herbs in the treatment of COVID-19 in Shanghai area.Results:According to the frequency analysis of 240 prescriptions of Chinese medicine,194 herbs were found. The COVID-19 formula herbs were all "cold", the frequency of use in mild, moderate, severe and critical cases was [46.02%(104/226), 46.31%(1 230/2 656), 37.06%(146/394), 39.24%(31/79)]. The flavor was mainly "bitter" and the frequency of use in 4 types of disease were [36.53%(122/332), 37.33%(1 445/3 857), 35.96%(205/564), 33.62%(39/113)]. Scutellaria was the most frequently used TCM of "bitter and cold". The drugs used were mainly lung,stomach and spleen meridians. By comparing the formulas between mild and moderate cases,herb combinations with the highest frequency were all "scutellaria glycyrrhiza" and "tangerine glycyrrhiza". The formulas for 19 mild cases were collected,and 197 drug combinations were counted, and 125 Chinese medicine association rules,including 13 Chinese herbs. The formulas were extracted in 199 moderate cases of COVID-19, a total of 92 drug combinations and 38 Chinese medicine association rules were collected,including 19 Chinese herbs. In 16 severe cases, a total of 62 drug combination models and 46 Chinese medicine association rules were collected,including 17 Chinese herbs. For the 6 critical cases,80 Chinese medicine prescriptions were combined,and 10 Chinese medicine association rules, including 12 Chinese herbs.Conclusions:The herbal prescriptions of COVID-19 in Shanghai are characterized by clearing away heat and resolving dampness. By analyzing prescription rules with complex system entropy clustering, association compatibility ideas of different types of traditional Chinese medicine are found to be different among four types of COVID-19 cases. Analyzing the connection rules in formulas, by using the theory of TCM and pharmacology of traditional Chinese medical formula in different COVID-19 patients may be helpful for general practitioners.

Objective To explore the accuracy of fluid responsiveness assessment by variability of peripheral arterial peak velocity and variability of inferior vena cava diameter (ΔIVC) in patients with septic shock. Methods A prospective study was conducted. The patients with septic shock undergoing mechanical ventilation (MV) admitted to intensive care unit (ICU) of Beijing Electric Power Hospital from January 2016 to December 2017 were enrolled. According to sepsis bundles of septic shock, volume expansion (VE) was conducted. The increase in cardiac index (ΔCI) after VE ≥ 10% was defined as liquid reaction positive (responsive group), ΔCI < 10% was defined as the liquid reaction negative (non-responsive group). The hemodynamic parameters [central venous pressure (CVP), intrathoracic blood volume index (ITBVI), stroke volume variation (SVV), ΔIVC, variability of carotid Doppler peak velocity (ΔCDPV), and variability of brachial artery peak velocity (ΔVpeak-BA)] before and after VE were monitored. The correlations between the hemodynamic parameters and ΔCI were explored by Pearson correlation analysis. Receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of all hemodynamic parameters on fluid responsiveness. Results During the study, 74 patients with septic shock were included, of whom 9 were excluded because of peripheral artery stenosis, recurrent arrhythmia or abdominal distension influencing the ultrasound examination, and 65 patients were finally enrolled in the analysis. There were 31 patients in the responsive group and 34 in the non-responsive group. SVV, ΔIVC, ΔCDPV and ΔVpeak-BA before VE in responsive group were significantly higher than those of the non-responsive group [SVV: (12.3±2.4)% vs. (9.2±2.1)%, ΔIVC: (22.3±5.3)% vs. (15.5±3.7)%, ΔCDPV: (15.3±3.3)% vs. (10.3±2.4)%, ΔVpeak-BA: (14.5±3.3)% vs. (9.6±2.3)%, all P < 0.05]. There was no significant difference in CVP [mmHg (1 mmHg = 0.133 kPa): 7.5±2.5 vs. 8.2±2.6] or ITBVI (mL/m2: 875.2±173.2 vs. 853.2±192.0) between the responsive group and non-responsive group (both P > 0.05). There was no significant difference in hemodynamic parameter after VE between the two groups. Correlation analysis showed that SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE showed significant linearity correlation with ΔCI (r value was 0.832, 0.813, 0.854, and 0.814, respectively, all P < 0.05), but no correlation was found between CVP and ΔCI (r = -0.342, P > 0.05) as well as ITBVI and ΔCI (r = -0.338, P > 0.05). ROC curve analysis showed that the area under ROC curve (AUC) of SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE for predicting fluid responsiveness was 0.857, 0.826, 0.906, and 0.866, respectively, which was significantly higher than that of CVP (AUC = 0.611) and ITBVI (AUC = 0.679). When the optimal cut-off value of SVV for predicting fluid responsiveness was 11.5%, the sensitivity was 70.4%, and the specificity was 94.7%. When the optimal cut-off value of ΔIVC was 20.5%, the sensitivity was 60.3%, and the specificity was 89.7%. When the optimal cut-off value of ΔCDPV was 13.0%, the sensitivity was 75.2%, and the specificity was 94.9%. When the optimal cut-off value of ΔVpeak-BA was 12.7%, the sensitivity was 64.8%, and the specificity was 89.7%. Conclusions Ultrasound assessment of ΔIVC, ΔCDPV, and ΔVpeak-BA could predict fluid responsiveness in patients with septic shock receiving mechanical ventilation. ΔCDPV had the highest predictive value among these parameters.

Objective To investigate the computed tomography (CT) features of solitary nodular invasive mucinous lung adenocarcinoma (IMA) in stage IA and establish its prediction model. Methods We included 53 lesions of 53 patients with stage-IA IMA and 141 control lesions of 141 patients with invasive non-mucinous lung adenocarcinoma (NIMA) that were confirmed by surgical pathology in our hospital from January 2017 to December 2019. Univariable analysis was used to compare the demographics and CT signs of the two groups. Multivariable logistic regression analysis was performed to determine the main factors influencing solitary nodular IMA. A risk score prediction model was constructed based on the regression coefficients of the main influencing factors. A receiver operating characteristic (ROC) curve was used to assess the performance of the model. Results The univariable analysis showed significant differences between the two groups in age, largest nodule diameter, tumor-lung interface, lobulation, spiculation, air-bronchogram or vacuole sign, vessel abnormalities (P < 0.05). The spiculation sign was different between the two groups, which was longer and softer in the IMA group while shorter and harder in the NIMA group. There was no significant difference in sex, nodule shape, or pleural retraction (P > 0.05), but irregular shapes were slightly more frequent in the IMA group. The multivariable logistic regression analysis showed that obscure tumor-lung interface (odds ratio (OR = 20.930, P < 0.05), air-bronchogram or vacuole sign (OR = 7.126, P < 0.05), spiculation sign (OR = 4.207, P < 0.05), and vessel abnormalities (OR = 0.147, P < 0.05) were the main influencing factors. The prediction model based on those factors’ regression coefficients had an area under the ROC curve of 0.829 (P < 0.05). Conclusion Compared with those with NIMA, patients with solitary nodular IMA in stage IA were older and more likely to have the CT features of obscure tumor-lung interface, air-bronchogram or vacuole sign, and longer and softer spiculation. Based on the regression coefficients of tumor-lung interface, air-bronchogram or vacuole sign, spiculation, and vessel abnormalities, the risk score prediction model showed good predictive performance for solitary nodular IMA.