Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in passenger drivers and its influencing factors. Methods A total of 951 passenger drivers in Guangdong Province were selected as the research subjects using the judgmental sampling method. A Musculoskeletal Injury Questionnaire was employed to assess the prevalence of WMSDs in the past year. Results The prevalence of WMSDs in passenger drivers was 41.11%. The result of multivariable logistic regression analysis showed that married drivers had a higher risk of WMSDs than single drivers (P<0.05). The lower the frequency of physical exercise, the longer the driving time per week, the longer the continuous driving time, the more restricted the driving working space, the poorer the foot comfort during driving, and the more affected the normal meal, the higher the risk of WMSDs (all P<0.05). The risk of WMSDs in drivers with sleep time ≤ 8.0 h/d was higher than that in drivers with sleep time > 8.0 h/d (P<0.01), and the risk of WMSDs in drivers with the same posture for a long time on the shoulder was higher than that in drivers without this poor working posture (P<0.01). Conclusion WMSDs were prevalent among passenger drivers, which was associated with demographic and adverse ergonomic factors. Intervention on lifestyle and adverse ergonomic factors could further reduce the risk of WMSDs of passenger drivers.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective:To analyze the clinical characteristics of eosinophilic lung diseases(ELD) in children to enhance pediatricians′ understanding of ELD.Methods:In this retrospective cross-sectional study, a total of 149 children with ELD were recruited from Beijing Children′s Hospital, Capital Medical University between April 1, 2007 and March 31, 2022.Chi-square test, Fisher′s exact test, Mann-Whitney U test and Kruskal-Wallis test were used to analyze data and conclude clinical characteristics.Spearman correlation was used to analyze the correlation between eosinophils in peripheral blood and bronchoalveolar lavage fluid.Chi-square test and Kappa consistency test were used to compare the differences and consistency in diagnostic results between bronchoalveolar lavage fluid or lung biopsy and eosinophil elevation with chest imaging abnormalities. Results:(1)The isolated lung involvement was mostly caused by allergic bronchopulmonary aspergillosis(9 patients), and other system involvement by idiopathic hypereosinophilic syndrome(89 patients).(2)The main respiratory manifestations included coughing(90 cases, 60.4%) and expectoration(41 cases, 27.5%), while 23.5%(35 cases) of patients had no respiratory symptoms; 50.3% had digestive system involvement, and 40.9% had skin involvement.These were the two most commonly affected organs.(3)Spearman correlation was performed between eosinophils in peripheral blood and bronchoalveolar lavage fluid( r=0.3, P<0.05).Chi-square test was performed to compare ELD diagnosed by bronchoalveolar lavage fluid or lung biopsy with peripheral blood eosinophilia accompanied by abnormal chest imaging( P<0.05).Kappa consistency test(Kappa<0.2) showed poor consistency between the two diagnostic methods. Conclusions:ELD are present in children, and multiple etiologies may be pathogenic.Among children with ELD, the isolated lung involvement is mainly caused by allergic bronchopulmonary aspergillosis.The digestive system and skin are the most commonly affected organs, except for lungs.The correlation between eosinophil levels in peripheral blood and bronchoalveolar lavage fluid is poor.

【Objective】 To investigate the prevalence and risk factors of primary nocturnal enuresis (PNE) in adolescents, and to explore its psychological effects. 【Methods】 During Sep.2020 and Dec.2020, an epidemiological survey was conducted among 6 408 junior and senior high school students in a region of Henan Province by stratified and cluster random sampling. The survey included general information questionnaire, urinary frequency, urgency, incontinence, recurrent urinary tract infection (RUTI), Enuresis Questionnaire, Self-esteem Scale (SES) and the Pittsburgh Sleep Quality Index (PSQI). 【Results】 A total of 7, 000 questionnaires were distributed and 6 408 (91.54%) were valid. The survey showed that the total prevalence of PNE among adolescents was 2.98%. The prevalence was 4.67% in those aged 12 years and 1.37% in those aged 18 years. The results of Logistic regression analysis showed that male (OR=1.677, P<0.05), overweight (OR=1.842, P<0.05), urgency (OR=1.676, P<0.05), frequency (OR=1.919, P<0.05), incontinence (OR=3.493, P<0.001), RUTI (OR=2.535, P<0.001) and family history (OR=3.005, P<0.001) were related to the risk of PNE. The SES score of PNE patients was lower than that of non-PNE group (z=-3.097, P<0.05), and the PSQI was higher (z=-5.456, P<0.05). 【Conclusion】 The prevalence of PNE is high in adolescents and decreases gradually with age. Male, overweight, frequency, urgency, incontinence, RUTI and family history are risk factors. PNE has a negative impact on self-esteem and sleep quality in adolescents.

Objective:To summarize and analyze of the clinical and genetic characteristics of children with nonmuscle myosin heavy chain 9 (MYH9)-related disease (MYH9-RD).Methods:To screen the patients who were first diagnosed as "chronic/refractory immune thrombocytopenia (ITP) " from April 2016 to May 2019 in Beijing Children′s Hospital by genetic and clinical examinations, then the clinical manifestation, laboratory examination and genetics results of 7 children diagnosed with MYH9-RD were collected and summarized retrospectively.Results:Among 7 children diagnosed with MYH9-RD, 3 were males and 4 females. The age of onset was 1.25 (0.41-6.16) years. The course of disease was 2.16 (0.41-8.59) years. The automatic platelet count was (9 (5-30))×10 9/L. All the cases were found with giant platelets under microscope,and the manual platelet count was (70 (30-100))×10 9/L. Four cases had skin hemorrhage or epistaxis and 3 cases had no bleeding. All 7 patients had received first-or second-line therapy of ITP, of whom 1 case received splenic embolization, and all the treatments mentioned above were ineffective. Finally, it was confirmed that all 7 patients had heterozygous missense mutations of MYH9 gene by next generation sequencing (NGS), including 2 pedigrees and 5 sporadic cases. Four sporadic mutations occurred in N-terminal globular head domain (HD), and 1 sporadic case with p.D1424N mutations occurred in the C-terminal tail domain (TD). One of the pedigrees also had p.D1424N mutation. The other familial case had a novel variant with one missense variant p.A44D caused by the c.131C>A transition. One of the two p.R702 mutations had kidney damage, and several relatives of the new p.A44D mutations had deafness. Conclusions:In this study, the spontaneous mutations of seven MYH9-RD were common, and all patients were misdiagnosed as ITP, whereas the bleeding was mild and immunotherapy was ineffective. The suspected disease can be identified earlier by manual visual platelet volume and count, which can be confirmed by genetic testing. It is more important to monitor the development of other organs damage instead of thrombocytopenia. For cases with p.R702 mutations the doctor should be aware of kidney damage, and for the cases with novel mutations p.A44D the doctor should be aware of hearing loss.

Objective:To investigate the common allergens in children with respiratory allergic diseases in Guangdong and provide the basis for preventing and treating respiratory allergic diseases.Methods:A total of 254 serum samples were collected retrospectively from children with allergic rhinitis and (or) asthma in the pediatric clinic of the First Affiliated Hospital of Guangzhou Medical University or Boai Hospital of Zhongshan City from August 2019 to August 2020 and tested positive for at least one allergens by ImmunoCAP 1000 or skin prick test. There were 173 males and 81 females, with a median age (interquartile interval) of 7 (4.00, 9.75) years. Specific IgE against eighteen common allergen were tested by magnetic particle chemiluminescence immunoassay. Statistical analysis using χ 2 test. Results:The positive rate of Dermatophagoides pteronyssinus (85.0%, 215/254) was the highest, followed by D. farinae (83.5%, 212/254), egg white (19.3%, 49/254), milk (14.6%, 37/254), German cockroach (14.2%, 36/254) and ox-eye daisy (12.6%, 32/254). Dust mites were the most common allergens in patients with allergic rhinitis / allergic asthma / allergic rhinitis and asthma. The positive rates of D. pteronyssinus (95.4% vs. 91.7% vs. 71.0%, χ 2=23.257, P<0.001), D. farinae (95.4% vs. 90.6% vs. 67.7%, χ 2=26.916, P<0.001), mugwort (10.8% vs. 9.4% vs. 1.1%, χ 2=7.535, P=0.023), and ox-eye daisy (21.5% vs. 14.6% vs. 4.3%, χ 2=10.876, P=0.004) in allergic rhinitis combined with asthma group and allergic rhinitis group were significantly higher than those in allergic rhinitis group. The positive rates of D. pteronyssinus (96.2% vs. 84.0% vs. 53.5%, χ 2=46.343, P<0.001), D. farinae (96.2% vs. 81.5% vs. 48.8%, χ 2=52.756, P<0.001) and German cockroach (17.7% vs. 14.8% vs. 2.3%, χ 2=6.313, P=0.043) in > 6 years old group were significantly higher than those in > 3 years old group and > 3-6 years old group, while the sIgE positive rates of egg white (41.9% vs. 21.0% vs. 10.8%, χ 2=20.281, P<0.001) and milk (41.9% vs. 16.0% vs. 4.6%, χ 2=36.227, P<0.001) in ≤3 years old group were significantly higher than those in > 3-6 years old group and > 6 years old group. In addition, there were significant positive correlations between D. pteronyssinus and D. farinae, mugwort and ox-eye daisy, cat dander and horse dander, ox-eye daisy and dandelion, egg white and milk, timothy grass and sesame ( r s≥0.511, P < 0.01). With the increase of the class of house dust mite allergen, the sIgE positive rates of mugwort (0.0% vs. 1.5% vs. 10.8%, χ 2=9.714, P=0.008), ox-eye daisy (0.0% vs. 4.4% vs. 19.6%, χ 2=16.195, P<0.001), cat dander (0.0% vs. 7.4% vs. 18.2%, χ 2=11.459, P=0.003) and horse dander (0.0% vs. 1.5% vs. 15.5%, χ 2=15.443, P < 0.001) increased significantly, while the sIgE positive rate of milk (29.0% vs. 16.2% vs. 10.1%, χ 2=8.792, P=0.012) decreased significantly. Conclusions:Dust mite is the main allergen in children with respiratory allergic diseases in Guangdong, and ox-eye daisy is the main pollen allergen. The sensitization patterns of allergens varied in different ages and diseases, and children with respiratory allergic diseases should regularly detect allergens and pay attention to avoid them.

In China, the prevalence of allergic diseases is increasing, but allergy research and allergy diagnosis technologies are still in their infancy, posing certain hurdles to clinical diagnosis and treatment. The detection of allergen is essential for the prevention and treatment of allergic diseases. Clarifying the aetiology and risk factors of allergic diseases is critical in order to provide targeted environmental control and therapy for allergic diseases, as well as reduce patient pain and financial burden. In this study, allergen detection technologies and diagnosis strategies are described in order to provide direction for clinicians and laboratory technicians, improve allergic diseases diagnosis, and guide allergic disease therapy.

Objective:To investigate the common allergens in children with respiratory allergic diseases in Guangdong and provide the basis for preventing and treating respiratory allergic diseases.Methods:A total of 254 serum samples were collected retrospectively from children with allergic rhinitis and (or) asthma in the pediatric clinic of the First Affiliated Hospital of Guangzhou Medical University or Boai Hospital of Zhongshan City from August 2019 to August 2020 and tested positive for at least one allergens by ImmunoCAP 1000 or skin prick test. There were 173 males and 81 females, with a median age (interquartile interval) of 7 (4.00, 9.75) years. Specific IgE against eighteen common allergen were tested by magnetic particle chemiluminescence immunoassay. Statistical analysis using χ 2 test. Results:The positive rate of Dermatophagoides pteronyssinus (85.0%, 215/254) was the highest, followed by D. farinae (83.5%, 212/254), egg white (19.3%, 49/254), milk (14.6%, 37/254), German cockroach (14.2%, 36/254) and ox-eye daisy (12.6%, 32/254). Dust mites were the most common allergens in patients with allergic rhinitis / allergic asthma / allergic rhinitis and asthma. The positive rates of D. pteronyssinus (95.4% vs. 91.7% vs. 71.0%, χ 2=23.257, P<0.001), D. farinae (95.4% vs. 90.6% vs. 67.7%, χ 2=26.916, P<0.001), mugwort (10.8% vs. 9.4% vs. 1.1%, χ 2=7.535, P=0.023), and ox-eye daisy (21.5% vs. 14.6% vs. 4.3%, χ 2=10.876, P=0.004) in allergic rhinitis combined with asthma group and allergic rhinitis group were significantly higher than those in allergic rhinitis group. The positive rates of D. pteronyssinus (96.2% vs. 84.0% vs. 53.5%, χ 2=46.343, P<0.001), D. farinae (96.2% vs. 81.5% vs. 48.8%, χ 2=52.756, P<0.001) and German cockroach (17.7% vs. 14.8% vs. 2.3%, χ 2=6.313, P=0.043) in > 6 years old group were significantly higher than those in > 3 years old group and > 3-6 years old group, while the sIgE positive rates of egg white (41.9% vs. 21.0% vs. 10.8%, χ 2=20.281, P<0.001) and milk (41.9% vs. 16.0% vs. 4.6%, χ 2=36.227, P<0.001) in ≤3 years old group were significantly higher than those in > 3-6 years old group and > 6 years old group. In addition, there were significant positive correlations between D. pteronyssinus and D. farinae, mugwort and ox-eye daisy, cat dander and horse dander, ox-eye daisy and dandelion, egg white and milk, timothy grass and sesame ( r s≥0.511, P < 0.01). With the increase of the class of house dust mite allergen, the sIgE positive rates of mugwort (0.0% vs. 1.5% vs. 10.8%, χ 2=9.714, P=0.008), ox-eye daisy (0.0% vs. 4.4% vs. 19.6%, χ 2=16.195, P<0.001), cat dander (0.0% vs. 7.4% vs. 18.2%, χ 2=11.459, P=0.003) and horse dander (0.0% vs. 1.5% vs. 15.5%, χ 2=15.443, P < 0.001) increased significantly, while the sIgE positive rate of milk (29.0% vs. 16.2% vs. 10.1%, χ 2=8.792, P=0.012) decreased significantly. Conclusions:Dust mite is the main allergen in children with respiratory allergic diseases in Guangdong, and ox-eye daisy is the main pollen allergen. The sensitization patterns of allergens varied in different ages and diseases, and children with respiratory allergic diseases should regularly detect allergens and pay attention to avoid them.