Objective To study the imaging distribution feature and diagnostic value of high resolution computed tomography(HRCT)in peripheral lung cancer(PLC).Methods The feature of imaging distribution was analysed in 37 patients with PLC by pathological proved,which compared with those in 23 cases with lung benign nodules by selected randomly.A double blind method was taken on the manifestations of HRCT about lung nodules tumor-lung interface in near heart side and far heart side.①cloudy or/and shaggy②spiculate③smooth.To search and define the correlation between its distributing feature;manifestations of 3 kinds HRCT;alteration of segment level bronchus and lung benign malignancy nodules.Results Cloudy,or shaggy,spiculalte departing from heart side in lung-tumor interface by HRCT were observed in peripheral lung cancer(79%) and benign nodules(22%);smooth was observed in peripheral lung cancer(14%) and benign nodules(74%).Some cases possed simultaneously two or more than two kinds HRCT's signs.Incidence rate of emphraxis and stenosis signs of segment level bronchus in PLC was higher than that in benign nodules.Conclusion Asymmetry apo-tip dominant position distribution of cloudy or shaggy,and spiculate change of tumor-lung interface by HRCT played an important role in qualitative diagnosis of peripheral lung cancer(≤3.5 cm).The appearance reason relates with the bronchial ventilation that the lesion results in occlusion.

CD4 count is the standard method for determining eligibility for highly active antiretroviral therapy (HAART) and monitoring HIV/AIDS disease progression, but it is not widely available in resource-limited settings. This study examined the correlation between total lymphocyte count (TLC) and CD4 count of HIV-infected patients before and after HAART, and assessed the thresholds of TLC for making decisions about the initiation and for monitoring HAART. A retrospective study was performed, and 665 HIV-infected patients with TLC and CD4 count from four counties (Shangcai, Queshan, Shenqiu and Weishi) were included in the study. Pearson correlation and receiver operating characteristic (ROC) were used. TLC and CD4 count after HAART was significantly increased as compared with pre-HAART (P<0.01). An overall positive correlation was noted between TLC and CD4 count (pre-HAART, r=0.73, P=0.0001; follow-up HAART, r=0.56, P=0.0001). The ROC curve between TLC and CD4 count showed that TLC ≤ 1200 cells/mm(3) could predict CD4 < 200 cells/mm(3) with a sensitivity of 71.12%, specificity of 66.35% at pre-HAART. After 12-month HAART, the optimum prediction for CD4 count < 200 cells/mm3 was a TLC ≤ 1300 cells/mm(3), with a sensitivity of 63.27%, and a specificity of 74.84%. Further finding indicated that TLC change was positively correlated to CD4 change (r=0.77, P=0.0001) at the time point of 12-month treatment, and the best prediction point of TLC change for CD4 increasing was 135 cells/mm(3). TLC and its change can be used as a surrogate marker for CD4 count and its change of HIV-infected individuals for making decisions about the initiation and for monitoring HAART in resource-limited settings.

CD4 count is the standard method for determining eligibility for highly active antiretroviral therapy (HAART) and monitoring HIV/AIDS disease progression,but it is not widely available in resource-limited settings.This study examined the correlation between total lymphocyte count (TLC) and CD4 count of HIV-infected patients before and after HAART,and assessed the thresholds of TLC for making decisions about the initiation and for monitoring HAART.A retrospective study was performed,and 665 HIV-infected patients with TLC and CD4 count from four counties (Shangcai,Queshan,Shenqiu and Weishi) were included in the study.Pearson correlation and receiver operating characteristic (ROC) were used.TLC and CD4 count after HAART was significantly increased as compared with pre-HAART (P＜0.01).An overall positive correlation was noted between TLC and CD4 count (pre-HAART,r=0.73,P=0.0001; follow-up HAART,r=0.56,P=0.0001).The ROC curve between TLC and CD4 count showed that TLC ≤ 1200 cells/mm3 could predict CD4 ＜ 200 cells/mm3 with a sensitivity of 71.12％,specificity of 66.35％at pre-HAART.After 12-month HAART,the optimum prediction for CD4 count ＜ 200 cells/mm3 was a TLC ≤ 1300 cells/mm3,with a sensitivity of 63.27％,and a specificity of 74.84％.Further finding indicated that TLC change was positively correlated to CD4 change (r=0.77,P=0.0001) at the time point of 12- month treatment,and the best prediction point of TLC change for CD4 increasing was 135 cells/mm3.TLC and its change can be used as a surrogate marker for CD4 count and its change of HIV-infected individuals for making decisions about the initiation and for monitoring HAART in resource-limited settings.

ObjectiveTo systematically review the effects of mind-body exercise on sleep quality, and to sort out the influencing factors of mind-body exercise intervention program. MethodsLiteratures about the effects of mind-body exercise on sleep were searched in PubMed, Web of Science, Science Direct, Cochrane Library, CNKI, VIP and Wanfang data from establishment to June 1, 2022. The author, country, publication time, study object, study method, intervention process, measurement tool and outcome index were extracted from the selected literature. The Physiotherapy Evidence Database (PEDro) scale was used to evaluate the methodological quality. ResultsA total of 14 English literatures were included, all of which were randomized controlled trails, and the overall research quality was good. Mind-body exercise methods included Taijiquan, Qigong and Baduanjin. Most of the subjects were old and sick people. Physical exercise intervention with a duration of ten to twelve weeks, a single time of 60 minutes and at least two to three times a week could improve sleep quality to the greatest extent. The health status of the participants was an important factor affecting the effect of the intervention. ConclusionMind-body exercise can improve sleep quality, relieve anxiety and depression, and promote mental health.

AIM: With building a proliferation model of PA-induced VSMC, the effect of ATGL, a key fat metabolism enzyme, on the phenotype transformation of VSMC was preliminarily explored. METHODS: 40 μmol/L Atglistatin was added to the proliferation model of VSMC induced by PA (50 μmol/L, 100 μmol/L, and 200 μmol/L, respectively) at separately administered concentrations, and cell viability and cell proliferation were detected by CCK-8 and EDU; cell migration ability was detected by scratch assay; oil red staining was used to detect the accumulation of lipid droplets in VSMC was detected by oil red staining; the effects of PA on ATGL as well as the effects of smooth muscle contraction phenotype proteins were examined by Western blot. RESULTS: PA at a concentration of 100 μmol/L could significantly induce VSMC proliferation, promote lipophagy and increase lipid droplet accumulation in VSMC; meanwhile, Atglistatin could exacerbate these changes caused by PA and increase lipid droplet accumulation in VSMC. CONCLUSION: Atglistatin exacerbates PA-induced VSMC proliferation and increases VSMC lipid droplet accumulation, and exacerbates transformation of proliferative phenotype of VSMC.