Objective: To investigate the relationship between right ventricular (RV) glucose metabolism by18F-fludeoxyglucose positron emission tomography (18F-FDG PET) and right heart function in patients with dilated cardiomyopathy (DCM).
Methods: The18F-FDG PET imaging was performed in 34 consecutive DCM patients, with the reference of Herrero method, the corrected RV standard uptake value (cRVSUV), corrected left ventricular standard uptake value (cLVSUV) and the ratio of RV to LV SUV (cR/L) were obtained. And all 34 patients received cardiac magnetic resonance imaging (cMRI) examination within 7 days, the left ventricular ejection fraction (LVEF) and RVEF were automatically calculated with Simpson’s principle. The pulmonary arterial systolic pressure was measured by echocardiography.
Results: The corrected cRVSUV and cR/L by18F-FDG PET were negatively related to RVEF by cMRI, (r=-0.513, P<0.01) and (r=-0.463,P<0.01) respectively, and meanwhile, the corrected cRVSUV and cR/L were also negatively related to LVEF, (r=-0.387,P<0.01 andr=-0.362,P<0.01) respectively.
Conclusion: Increased RV glucose metabolism closely related to RV dysfunction, the18F-FDG uptake value by PET might be used as an index for assessing the right heart function and prognosis in DCM patients.

Objective To determine whether hybrid three dimensional diffusion tensor imaging (3D DTI) contributes incremental value to standard T2WI technique for assessing neurovascular bundles (NVB) around the prostate. Methods This retrospective institutional review board-approved study included 69 consecutive patients with prostate tumor who underwent MRI including conventional T2WI and 3D DTI . DTI data were postprocessed and hybrid 3D DTI and axial T2W images were obtained. Three radiologists with one, five and thirteen years of experience in reading prostate MRI and one urologist with three years of surgical experience in urology who were blinded to patient data independently recorded their levels of preference on a five-point scale of the NVBs around the prostate on the basis of T2WI alone and hybrid 3D DTI and T2WI, respectively. The differences of scores of T2WI and hybrid 3D DTI and T2WI of the four doctors were compared by using nonparametric Wilcoxon rank. Results The average scores of hybrid 3D DTI to T2WI and alone T2WI to assess NVBs for 3 radiologists and one urologist were 4.4±0.6, 4.3±0.8, 4.2± 0.6, 4.9±0.3 and 2.9±0.8, 3.0±1.1, 1.6±0.7, 3.8±0.5, respectively. The hybird 3D DTI to T2WI improved the discrimination abilities of NVBs around the prostate for 3 radiologists and one urologist (Z values were-12.791,-9.737,-14.538,-14.901, P<0.01 respectively).The added value of hybrid DTI to T2WI for urologist is the highest, and experienced radiologist is the smallest. Conclusion The hybrid 3D DTI
contributes significant incremental value to the standard T2WI technique for assessing NVB around the prostate.

Objective: To explore the relationship between septal myocardial metabolism and left ventricular mechanical synchronization in patients with dilated cardiomyopathy (DCM) and left bundle branch block (LBBB) by gated 18F-FDG myocardial metabolic imaging.
Methods: A total of 20 consecutive patients diagnosed for DCM with LBBB from 2010-10 to 2013-05 were enrolled, there were 11 male and 9 female at the mean age of (54±11) years. All patients received gated 18F-FDG myocardial metabolic PET imaging. TrueD software was used to determine the maximal standardized 18F-FDG uptake value (S-SUVmax) and the average standardized uptake value (S-SUVavg). QGS software was applied to conduct left ventricular phase analysis and to detect the cardiac function, left ventricular bandwidth (BW), standard deviation of bandwidth (SD), left ventricular end-diastolic volume (LVEDV), LVESV and LVEF. The relationship between 18F-FDG uptake in septal myocardium with the indexes of phase analysis and the indexes of cardiac function was analyzed.
Results: S-SUVmax and S-SUVavg were respectively negatively related to BW (r=-0.44, P<0.05 and r=-0.48, P<0.05);they were also respectively negatively related to SD (r=-0.57, P<0.01 and r=-0.51, P<0.05). While S-SUVmax and S-SUVavg were not really related to LVEDV, LVESV and LVEF, all P>0.05.
Conclusion: In patients of DCM with LBBB, reduced septal myocardial metabolism was closely related to left ventricular mechanical synchronization, gated 18F-FDG myocardial metabolic PET imaging may simultaneously detect both functions, which was important for prognostic evaluation and therapeutic monitoring in clinical practice;phase analysis.

Objective: To study the survival time and its risk factors of patients with occupational pneumoconiosis. Methods: A total of 11 011 newly diagnosed occupational pneumoconiosis patients in Guangdong Province from 1980 to 2019 were selected as study subjects. The life table method was used for survival analysis. The influencing factors of survival time of occupational pneumoconiosis patients were analyzed using the WilCoxon (Gehan) test and Cox proportional hazards regression model. Results: The median survival time of pneumoconiosis patients was 26.0 years. The median survival period of stage Ⅰpatients was 3.5 years longer than that of stage Ⅱ patients and 10.1 years longer than that of stage Ⅲ patients. The median survival time of patients with an initial diagnosis age under 40.0 years old was 34.8 years longer than that of patients with an initial diagnosis age over 60.0 years old. The median survival time of patients with dust exposure duration under 25.0 years old was 13.6 years longer than patients with dust exposure duration age over 45.0 years old. The results of the Cox proportional hazards regression model showed that the initial diagnosis stage, initial diagnosis age, dust exposure duration, and medical insurance were risk factors of the survival time of occupational pneumoconiosis patients (all P<0.01). The risk of reduced survival time for patients with stage Ⅱ and stage Ⅲ as the initial diagnosis stage was 1.15 and 2.04 times higher, respectively, compared with stage Ⅰ patients (both P<0.01). The risk of reduced survival time for patients without medical insurance was 60.22 times higher than those with medical insurance (P<0.01). Conclusion: The risk factors of the survival time of occupational pneumoconiosis patients in Guangdong Province are initial diagnosis stage, initial diagnosis age, the dust exposure age, and medical insurance. Earlier detection, earlier diagnosis, and improvement of medical insurance coverage for patients can effectively improve the survival time of occupational pneumoconiosis patients.

Objective: To verify the accuracy of the autoregressive integrated moving average (ARIMA) in predicting the incidence of occupational pneumoconiosis (hereinafter referred as pneumoconiosis) and to predict the incidence of pneumoconiosis in Guangdong Province in the next five years. Methods: A follow-up survey was performed to collect data on pneumoconiosis patients reported in Guangdong Province from 1956 to 2021. Collected data from 1956 to 2016 were used as the training set to build an ARIMA model. Collected data from 2017 to 2021 were used as the prediction set to evaluate the predicting result of the ARIMA model. The ARIMA model was used to predict the incidence of pneumoconiosis in Guangdong Province in next five years. Results: The ARIMA (1,1,2) model was set up after model identification and order estimation. The model was used to predict the prediction set, and its result was good. The ARIMA result and actual values in 2021 were 213 and 210 cases, respectively, with a difference of only three cases. The number of pneumoconiosis cases predicted using the ARIMA model in Guangdong Province from 2022 to 2026 was 214, 204, 202, 194, and 191 cases, respectively, showing a trend of low-level prevalence. Conclusion: The ARIMA model demonstrates high accuracy in predicting pneumoconiosis incidence over a long period of time and with large sample sizes. The forecast results of the ARIMA(1,1,2) model indicate that the incidence of pneumoconiosis in Guangdong Province will be around 200 cases in the next five years, indicating a low-level prevalence.

Objective:To analyze the influencing factors of lung function in pneumoconiosis patients, and to provide reference for clinical treatment.Methods:From July 2020 to December 2020, a questionnaire survey was conducted on pneumoconiosis patients in the jurisdiction by using the "Guangdong Province Occupational Disease Prevention and Control Institute" questionnaire, and the relevant items of patients were examined. The rate of counting data is expressed, and the measurement data is expressed by mean and standard deviation. Chi-square test was used for comparison between groups, trend chi-square test was used for trend analysis of ordered classified data. Multivariate analysis was carried out with binary logistic regression model.Results:A total of 1409 pneumoconiosis patients were enrolled. The abnormal rate of lung function in pneumoconiosis patients was 68.77%. The results of trend Chi-square test showed that the abnormal rate of lung function increased with the age of exposure to dust in different age groups (Chi Sqnare Trend=64.12、8.49、24.20, P<0.05) . In univariate analysis, there were statistical significance in different dust exposure age, working age, pneumoconiosis stage, complications and occupational pneumoconiosis diseases ( P<0.05) . Multiple logistic regression results showed that age of exposure to dust, years of service, stage of pneumoconiosis and complications were the main influencing factors of lung function in pneumoconiosis patients ( P<0.05) . Compared with patients aged 0-30 years, patients aged 50-70 years and older had a higher rate of abnormal lung function ( OR=2.16, 95% CI: 1.12~4.16; OR=4.82, 95% CI: 2.05~11.35, all P<0.05) ; Compared with patients with 0~20 years of service, patients with 20~30 years of service and more than 30 years of service had a higher rate of abnormal lung function ( OR=1.58, 95% CI: 1.10~2.25; OR=1.63, 95% CI: 1.28~2.40, P<0.05) ; Compared with stage Ⅰ patients, Stage Ⅱ and Stage Ⅲ patients had a higher rate of abnormal lung function ( OR=1.62, 95% CI: 1.20~2.17; OR=2.23, 95% CI: 1.40~3.55, all P<0.05) ; Compared with patients without comorbidities, patients with comorbidities had a higher rate of abnormal lung function ( OR=1.68, 95% CI: 1.20~2.38, P<0.05) . Conclusion:The factors such as age of exposure to dust, working age, stage of pneumoconiosis and complications may be the influencing factors of lung function in pneumoconiosis patients.

Objective:To analyze the influencing factors of lung function in pneumoconiosis patients, and to provide reference for clinical treatment.Methods:From July 2020 to December 2020, a questionnaire survey was conducted on pneumoconiosis patients in the jurisdiction by using the "Guangdong Province Occupational Disease Prevention and Control Institute" questionnaire, and the relevant items of patients were examined. The rate of counting data is expressed, and the measurement data is expressed by mean and standard deviation. Chi-square test was used for comparison between groups, trend chi-square test was used for trend analysis of ordered classified data. Multivariate analysis was carried out with binary logistic regression model.Results:A total of 1409 pneumoconiosis patients were enrolled. The abnormal rate of lung function in pneumoconiosis patients was 68.77%. The results of trend Chi-square test showed that the abnormal rate of lung function increased with the age of exposure to dust in different age groups (Chi Sqnare Trend=64.12、8.49、24.20, P<0.05) . In univariate analysis, there were statistical significance in different dust exposure age, working age, pneumoconiosis stage, complications and occupational pneumoconiosis diseases ( P<0.05) . Multiple logistic regression results showed that age of exposure to dust, years of service, stage of pneumoconiosis and complications were the main influencing factors of lung function in pneumoconiosis patients ( P<0.05) . Compared with patients aged 0-30 years, patients aged 50-70 years and older had a higher rate of abnormal lung function ( OR=2.16, 95% CI: 1.12~4.16; OR=4.82, 95% CI: 2.05~11.35, all P<0.05) ; Compared with patients with 0~20 years of service, patients with 20~30 years of service and more than 30 years of service had a higher rate of abnormal lung function ( OR=1.58, 95% CI: 1.10~2.25; OR=1.63, 95% CI: 1.28~2.40, P<0.05) ; Compared with stage Ⅰ patients, Stage Ⅱ and Stage Ⅲ patients had a higher rate of abnormal lung function ( OR=1.62, 95% CI: 1.20~2.17; OR=2.23, 95% CI: 1.40~3.55, all P<0.05) ; Compared with patients without comorbidities, patients with comorbidities had a higher rate of abnormal lung function ( OR=1.68, 95% CI: 1.20~2.38, P<0.05) . Conclusion:The factors such as age of exposure to dust, working age, stage of pneumoconiosis and complications may be the influencing factors of lung function in pneumoconiosis patients.

Objective To understand the characteristics of long-working hours exposure of medical staff,and analyze the impact of long-working hours exposure on mental health problems such as occupational stress,depression,fatigue accumulation,and insomnia.Methods The cluster random sampling method was used to select the medical staff of 12 tertiary general hospitals in Guangdong Province as the research subjects,and the"Core Scale of Occupational Stress Measurement"and other scales were used to evaluate their occupational mental health.Results The average working hours of medical staff per day were(8.99±2.18)h;2,094 people were exposed during long working hours,accounting for 78.96%.The results of binary logistics regression analysis showed that after excluding the influence of sociodemographic factors such as age,long working hours(weekly working hours greater than 40 h)were the risk factors for occupational stress,depressive symptoms and fatigue accumulation of medical staff(P<0.01),and the longer the working week,the higher the risk of occupational stress,depressive symptoms and fatigue accumulation.Weekly working hours greater than 48 hours are risk factors for insomnia(P<0.01).Conclusion Long working hours are common among delivery workers on food delivery platforms,and long working hours are a risk factor for occupational tension and fatigue.