A Clinical pharmacist was fully involved in the anticoagulation drug treatment management process of a 104-year-old patient with a large area of cerebral infarction combined with chronic kidney disease stage Ⅴ and secondary deep vein thrombosis.After the patient was diagnosed with deep vein thrombosis,the clinical pharmacist comprehensively analyzed the patient's super-advanced age,history of atrial fibrillation,large area of cerebral infarction,extremely poor kidney function,deep vein thrombosis,and high bleeding risk indicated by the HAS-BLED score.They worked with the clinical doctor to develop an individualized anticoagulation treatment strategy for the patient.At the beginning of the treatment,warfarin was given to the patient at a daily dose of 1.25 mg,and the patient's coagulation indicators and kidney function were dynamically rechecked.The patient's blood creatinine level did not show significant changes throughout the anticoagulation treatment process.On the 8th day of medication,the patient's INR was 2.47,and the clinical pharmacist suggested adjusting the Warfarin to an alternate-day dose of 1.25 mg and 0.625 mg.Subsequently,the patient's INR was 2.41,and the condition improved,leading to discharge.Throughout the anticoagulation drug management process,the clinical pharmacist participated in the clinical decision-making for anticoagulant drug selection,provided professional medication guidance,and pharmacological monitoring to ensure the safe clinical use of drugs for special populations.

To address the challenge of unclear features and difficulties in pulmonary nodule CT image detection,an efficient attention feature pyramid network is proposed.The network firstly employs a feature pyramid of multi-scale feature fusion as the backbone network for effectively preserving both low-and high-level features,and uses the depthwise separable convolutional neural network to extract feature information.Then,the attention mechanism is integrated into the backbone network for assigning weights to salient feature information.Finally,the proposed algorithm is applied to Lung-PET-CT-Dx dataset and Luna16 dataset,and the experimental results demonstrate that the proposed algorithm has higher precision,recall rate and mAP value than the existing comparative algorithms,substantiating its superiority in pulmonary nodule detection.

Background As one of the common tools for job burnout assessment, Maslach Burnout Inventory-General Survey (MBI-GS), its reliability and validity across different populations in China have not been examined yet. Objective To evaluate the reliability and validity of General Burnout Scale (GBS) by multiple occupational groups through the translation and preliminary test of MBI-GS. Methods Based on the Special Project of Occupational Hazards in Key Populations led by the Institute of Occupational Health and Poison Control, China CDC, key occupational groups in five typical industries were selected by multi-stage stratified cluster sampling, including teachers, firefighters, manufacturing workers, medical staff, and traffic police. Confirmatory factor analysis (CFA) was used to evaluate the construct validity of GBS by single-factor, two-factor, and three-factor structure models. The model fitness was assessed by ratio of the chi-square statistic to the respective degrees of freedom (χ²/ν), root mean square error of approximation (RMSEA), goodness-of-fit index (GFI), comparative fit index (CFI), and parsimony-adjusted non-normed fit index (PNFI). Spearman correlation analysis was used to calculate the criterion validity of GBS with occupational stress, depressive symptoms, and sleep disorders. Cronbach's α coefficient and composite reliability (CR) coefficient were used to evaluate the internal consistency reliability of GBS. Results A total of 3485 subjects were surveyed in this study, 3375 valid questionnaires were recovered with a valid response rate of 96.84%. The results of CFA showed that in the adjusted three-factor structure model of GBS (exhaustion, cynicism, and professional efficacy), the χ²/ν < 4, the RMSEA ranged from 0.032 to 0.069, the GFI > 0.90, the CFI > 0.90, and the PNFI > 0.70, which illustrated a good fitness than that of the single- or the two-factor structure models in different occupational groups. The Spearman correlation analysis results showed that occupational stress, depressive symptoms, and sleep disorders were positively correlated with exhaustion and cynicism dimensions, and negatively correlated with professional efficacy dimension of the GBS, with the \begin{document}$ \left| r \right| $\end{document} ranging from 0.139 to 0.662 (P<0.05) in overall subjects. For traffic police and firefighters, professional efficacy was not correlated with depressive symptoms or sleep disorders (P>0.05). The Cronbach's α coefficients ranged from 0.819 to 0.899, and the CR values ranged from 0.941 to 0.978 in different occupational groups. Conclusion The GBS shows high reliability and validity, as well as good application effects in different occupational groups.

Background With the rise and deepening of positive psychology research, theoretical research on job burnout is also deepening worldwide, and some new theoretical models are proposed, such as the burnout-engagement continuum, but there is still a lack of empirical research and application in China. Objective To analyze the current situation and influencing factors of five profiles in the burnout-engagement continuum in working populations of China: job engagement, ineffective, overextended, disengaged, and burnout. Methods From August to October 2019 and June to September 2020, a total of 27344 subjects of key occupations in six typical industries, including teachers, firefighters, manufacturing workers, medical staff, flight attendants, and traffic police, were selected from 10 provinces (cities) in the eastern, middle, and western regions of China by multistage stratified cluster sampling method for cross-sectional investigation. Maslach Burnout Inventory-General Survey and Core Occupational Stress Scale were used to evaluate job burnout and occupational stress respectively. χ² test was used to compare rates of count data. Binary logistic regression was used for multivariate analysis of the five profiles. Results Among the subjects, 24.4%, 61.9%, 31.9%, 12.7%, and 11.8% were the prevalence rates of job engagement, ineffective, overextended, disengaged, and burnout, respectively. Flight attendants (35.7%), firefighters (29.0%), traffic police (28.5%), and manufacturing workers (26.5%) had high prevalence rates of job engagement profile. Medical stuff (62.9%) and manufacturing workers (61.8%) had high prevalence rates of ineffective profile. Teachers (39.2%), traffic police (37.2%), and medical stuff (35.5%) had high prevalence rates of overextended profile. Traffic police (17.9%), medical staff (14.3%), and teachers (13.4%) had high prevalence rates of disengaged profile. Traffic police (16.9%), medical staff (13.4%), and teachers (13.3%) had high prevalence rates of burnout profile. The results of multivariate analysis showed that gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress entered into the regression equations of job engagement, ineffective, overextended, disengaged, and burnout. The risks of overextended (OR=1.456-2.970), disengaged (OR=1.306-4.092), and burnout (OR=1.302-4.102) among the high rating groups of the four factors of occupational stress were higher than those among the low rating groups. Flight attendants (OR=0.296) and firefighters (OR=0.329) had lower risks of burnout than teachers, and flight attendants (OR=0.392) and firefighters (OR=0.466) had lower risks of disengaged than teachers. Conclusion Among the prevalence rates of the five profiles in the burnout-engagement continuum in the 6 typical occupational populations in China, ineffective profile is the highest, followed by overextended, and burnout is the lowest. Gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress have different effects on the five profiles, but industry and occupational stress have greater impacts on job burnout.

Background Manufacturing industry is the main body of China's national economy, and manufacturing employees provide solid guarantee and support for the vigorous development of China's manufacturing industry. The research on job burnout of manufacturing employees is helpful to prevent or alleviate the health damage and economic loss caused by job burnout. Objective To investigate the status and influencing factors of job burnout among manufacturing employees in China, and evaluate the potential mediating effect of job burnout between job stress and depressive symptoms. Methods A cross-sectional study was performed from August to October 2019 and from June to September 2020 in seven provinces of China. Study participants were recruited from 21 manufacturing companies covering 11 manufacturing subdivisions using multistage stratified cluster sampling. General Burnout Scale, Core Occupational Stress Scale, and Patient Health Questionnaire-9 were used to evaluate job burnout, job stress, and depressive symptoms. Mann-Whitney U test and Kruskal-Wallis H test were used to compare data between two independent samples and multiple independent samples of measurement data; Pearson χ² test was used to compare the rate of enumeration data; Spearman rank correlation analysis was used to evaluate correlation between selected variables; binary logistic regression was used for multivariate analysis; stepwise regression and bias-corrected Bootstrap method were used to test potential mediating effect. Results A total of 10973 valid questionnaires were collected. The M (P₂₅, P₇₅) scores of exhaustions, cynicism, professional efficacy, job burnout, job stress, and depressive symptoms were 1.6 (0.4, 3.0), 1.0 (0.2, 2.2), 4.8 (3.2, 5.7), 1.6 (0.8, 2.5), 45.0 (40.0, 50.0), and 7.0 (4.0, 11.0), respectively. The positive rates of job burnout, job stress, and depressive symptoms were 53.4% (5865/10973), 28.4% (3116/10973), and 29.4% (3231/10973), respectively. The influencing factors of job burnout were gender (versus male; OR for female=0.852), age (versus≤25 years old; ORs for 26-30, 31-40, 41-50, 51-60 years old=0.824, 0.819, 0.738, 0.677), education level (versus junior high school or below; ORs for senior high school/technical secondary school, junior college/vocational college, graduate school or above=1.119, 1.345, 1.331), income per month (versus＜3000 yuan; ORs for 3000-4999, 5000-6999, 7000-8999, 9000-10999, ≥11000 yuan=0.513, 0.470, 0.430, 0.375, 0.411), position (versus assembly line; OR for non-assembly line=0.814), average weekly working hours (versus ≤40 h; ORs for 61-70, ＞70 h=1.199, 1.519), and drinking (versus non-drinking; OR for drinking=1.261). Job burnout was positively correlated with job stress and depressive symptoms (r=0.556, 0.508, P<0.001). Job burnout played a partial mediating role between job stress and depressive symptoms, and its contribution value accounted for 63.2% of the total effect. Conclusion Manufacturing industry employees' job burnout problem is prominent in China, and there are many factors affecting job burnout. Job burnout may play a partial mediating role between job stress and depressive symptoms in the target group.

As a new technology for screening carotid plaques, three-dimensional ultrasound plays an important role in clinical and scientific research. Recent studies have shown that three-dimensional ultrasound combined with various new algorithms can effectively evaluate carotid plaque load and vulnerability. However, due to the high cost of volumetric probes and the large volume affecting the detection angle, three-dimensional ultrasound has not been widely used in China. This article reviews the advantages of three-dimensional ultrasound in evaluating vulnerable plaques and plaque load, in order to provide reference for clinical work in the future.

Objective : To investigate the status of occupational stress and analyze its influencing factors among frontline employees working in a chemical fiber manufacturing enterprise, so as to provide insights into the development of occupational stress interventions. Methods : The frontline employees working in a chemical fiber manufacturing enterprise were selected as the study subjects using a cluster sampling method in October 2018. The status of occupational stress was investigated using the Chinese version of the effort-reward imbalance ( ERI ) questionnaire. The influencing factors for occupational stress were identified using a multivariable logistic regression model. Results : A total of 1 780 questionnaires were sent out, and 1 115 valid ones ( 62.64% ) were recovered. Among the 1 115 respondents, there were 427 men ( 38.30% ) and 688 women ( 61.70% ), and 71.22% were at ages of 21 to 39 years. There were 561 respondents with < 1 year of service ( 50.31% ), and the longest length of service was 11 years. In addition, there were 1 069 respondents ( 95.87% ) exposed to high noise, and 346 respondents ( 31.03% ) were diagnosed at a high occupational-stress state and 769 ( 68.97% ) at a low state. Multivariable logistic regression analysis identified 5 years or longer of service ( OR=1.540, 95%CI: 1.057-2.245 ) and exposure to high noise ( OR=1.917, 95%CI: 1.004-3.659 ) as risk factors for occupational stress among frontline employees in the chemical fiber manufacturing enterprise. Conclusions There are 31.03% of frontline employees at a high occupational-stress state in the chemical fiber manufacturing enterprise, and a high occupational-stress state is associated with exposure to high noise and 5 years or longer of service.

Objective:To investigate the relationship between double mutations of myosin heavy chain gene (MYH6) p.Gly743Arg and p.Glu1389Lys and the cardiac phenotype.Methods:Patients carrying double mutations in the MYH6 gene p.Gly743Arg and p.Glu1389Lys were screened from 52 unrelated left ventricular hypertrophy (LVH) who were admitted to the Second Hospital of Chongqing Medical University from 2015 to 2020, and the genetic testing of peripheral blood of patients by second-generation whole-exome sequencing assay technology and genomic DNA of their family members Sanger sequencing was performed to validate the genomic DNA of the family members. The cardiac phenotype was evaluated by electrocardiogram, coronary computed tomography angiography (CTA), echocardiography, and cardiac magnetic resonance imaging (MRI) as adjuncts.Results:All whole-exome gene were detected in 52 unrelated patients with LVH, of which 1 patient (1.9%) had double mutations in MYH6 gene p.Gly743Arg and p.Glu1389Lys (proband). Two members of the maternal line of this patient carried p.Glu1389Lys mutation, but there was no obvious clinical phenotype. Two members of the paternal line carried p.Gly743Arg mutation and had obvious clinical phenotype of bradycardia, but there was no LVH. The male proband, aged 21 years old, presented with LVH and sinus bradycardia but no coronary artery stenosis on CTA before treatment, MRI showed that the left ventricular end diastolic diameter was 58 mm. After treatment with angiotensin receptor-enkephalinase inhibitor (ARNI), electrocardiogram showed that the heart rate increased significantly (from 43 bpm to 72 bpm). Echocardiography showed that the left ventricular end diastolic diameter decreased significantly (from 60 mm to 49 mm).Conclusions:The p.Glu1389Lys mutation of the MYH6 gene may not manifest the phenotype of heart disease. MYH6 gene p.Gly743Arg mutation may be manifested asymptomatic sinus bradycardia, but there is no LVH phenotype. The cardiac disease phenotype caused by the double mutations of p.Gly743Arg and p.Glu1389Lys in the MYH6 gene is more obvious. Asymptomatic LVH and sinus bradycardia can appear in adolescence, but the LVH phenotype can be reversed in a short period of time after ARNI treatment.

Objective: To analyze the influencing factors for hospitalization of pneumoconiosis patients, so as to provide reference for improving the timeliness of treatment and quality of life in these patients. Methods: The pneumoconiosis patients in Changshan, Wenling and Changxing ( having mining industry ) of Zhejiang Province were selected by stratified and typical sampling methods. Their demographic features, prevalence of pneumoconiosis and hospitalization status were collected by a questionnaire survey. Logistic regression analysis was conducted to analyze the influencing factors for hospitalization. Results: Among 166 pneumoconiosis patients, 122 ( 73.49% ) chose to be hospitalized. The multivariate logistic regression analysis revealed that the patients who scored higher in ED-5Q ( OR=65.821, 95%CI: 3.831-1130.781 )and who would communicate with other pneumoconiosis patients ( OR=3.744, 95%CI: 1.261-11.115 ) were more likely to be hospitalized; the patients who were under the medical insurance for urban employees were more likely to be hospitalized than those who were under the new rural cooperative medical care system ( OR=0.033, 95%CI: 0.007-0.154 ) and others ( OR=0.038, 95%CI: 0.002-0.960 ) . Conclusion The quality of life, communication with other pneumoconiosis patients and type of medical insurance were the influencing factors for hospitalization of pneumoconiosis patients.

Objective:To preliminary study the effects of long noncoding Ribonuclei Acid (RNA) small nucleolar RNA host gene 1 (SNHG1) on proliferation of rheumatoid arthritis (RA) fibroblast-like synoviocytes (FLS) and the possible mechanism.Methods:The FLS from RA and trauma group were primarily cultured by the explant culture, and the expression of SNHG1 were detected by quantitative polymerase chain reaction (qPCR). Transfection of siRNA was used to interfere the expression of SNHG1. Cell viability was measured using CCK-8 assay and cell cycle distribution was detected by flow cytometry. And the protein level of cyclinD1 was detected by Western blotting. Independent sample t test was used for the comparison between two groups, and the one-way analysis of variance (ANOVA) analysis was used to compare the samples of multiple groups. Results:Compared with FLS from trauma group, SNHG1 expression in RA-FLS was up-regulated [(2.13 ±0.55) vs (1.00 ±0.01)] ( t=-5.87, P=0.004). In RA-FLS, after silencing the expression of SNHG1, the cell viability of SNHG1-siRNA treatment group was down-regulated [(0.930 ±0.033) vs (0.759 ±0.027)]( t=6.879, P=0.002), the proportion of G 2/M+S cells was down-regulated [(28.2 ±1.5)% vs (9.7 ±2.6)%]( t=10.715, P<0.01), and thelevelof cyclinD1 protein was down-regulated ( t=6.168, P=0.004) compared with the negative control group. Conclusion:The SNHG1 is abnormally expressed in RA-FLS, and SNHG1 may participate in the regulation of FLS proliferation by affecting the expression of cyclinD1 protein, thereby contributing to synovial hyperplasia.