{L-End}Objective To analyze the prevalence of multi-site work-related musculoskeletal disorders (WMSDs) and their influencing factors among workers in the chemical pharmaceutical industry. {L-End}Methods A total of 563 workers from three chemical pharmaceutical factories in Guangzhou City were selected as the research subjects using the judgment sampling method. The prevalence of multi-site WMSDs in the past 12 months was investigated using the electronic questionnaire of Chinese Version of Musculoskeletal Disorders Questionnaire. {L-End}Results The prevalence of multi-site WMSDs in the research subjects was 30.0% (169/563). The results of multivariable logistic regression analysis showed that workers who smoked regularly/frequently and those who had their hands above shoulder level for long periods of time had a lower risk of multi-site WMSDs than those who never/occasionally smoked (all P≤0.05). Workers with a high school, secondary specialty, college degree, or above had a lower risk of multi-site WMSDs than those with a middle school education or below (all P<0.05). The longer the daily working hours, the higher the risk of multiple WMSDs (all P<0.05). Workers with regular/frequently work shifts had a lower risk of multi-site WMSDs than those with none/occasional work shifts (P<0.05). {L-End}Conclusion The prevalence of multi-site WMSDs among workers in the chemical pharmaceutical industry is relatively high. The influencing factors are individual factors, unreasonable work organization and poor ergonomics factors.

OBJECTIVE: To investigate a family with congenital dysfibrinogenemia, and analyze the risk of hemorrhage and thrombosis and blood transfusion strategies. METHODS: Prothrombin time (PT), activated partial thromboplastin time (APTT) and thrombin time (TT) of the proband and her family members were detected by automatic coagulometer, fibrinogen (Fg) activity and antigen were detected by Clauss method and PT algorithm respectively. Meanwhile, thromboelastometry was analyzed for proband and her family members. Then, peripheral blood samples of the proband and her family members were collected, and all exons of FGA, FGB and FGG and their flanks were amplified by PCR and sequenced to search for gene mutations. RESULTS: The proband had normal APTT and PT, slightly prolonged TT, reduced level of Fg activity (Clauss method). The Fg of the proband's aunt, son and daughter all decreased to varying degrees. The results of thromboelastogram indicated that Fg function of the proband and her family members (except her son) was basically normal. Gene analysis showed that there were 6233 G/A (p.AαArg35His) heterozygous mutations in exon 2 of FGA gene in the proband, her children and aunt. In addition, 2 polymorphic loci were found in the family, they were FGA gene g.9308A/G (p.AαThr331Ala) and FGB gene g.12628G/A (p.BβArg478Iys) polymorphism, respectively. The proband was injected with 10 units of cryoprecipitate 2 hours before delivery to prevent bleeding, and no obvious bleeding occurred during and after delivery. CONCLUSION Heterozygous mutation of 6233G/A (p.AαArg35His) of FGA gene is the biogenetic basis of the disease in this family with congenital dysfibrinogenemia.
Humans ; Child ; Female ; Fibrinogen/genetics* ; Pedigree ; Afibrinogenemia/genetics* ; Mutation ; Blood Transfusion

OBJECTIVES: To investigate the prevalence rate of non-alcoholic fatty liver disease (NAFLD) in overweight/obese children who visit a hospital, and to explore the influencing factors of NAFLD, in order to provide a basis for the prevention of NAFLD in overweight/obese children. METHODS: Overweight/obese children who visited Hunan Children's Hospital from June 2019 to September 2021 were recruited. The prevalence rate of NAFLD was examined. Logistic regression analysis was used to explore the factors influencing the development of NAFLD [non-alcoholic fatty liver (NAFL) and non-alcoholic steatohepatitis (NASH)]. Receiver operating characteristic curve analysis was used to evaluate the predictive value of the influencing factors for NAFL and NASH. RESULTS: A total of 844 overweight/obese children aged 6-17 years were enrolled. The prevalence rate of NAFLD in overweight/obese children was 38.2% (322/844), among which the prevalence rates of NAFL and NASH were 28.8% (243/844) and 9.4% (79/844), respectively. Multivariate logistic regression analysis showed that the increase of waist-to-hip ratio (WHR) and low high-density lipoprotein cholesterol (HDL-C) were associated with the development of NAFL and NASH (P<0.05). The receiver operating characteristic curve analysis showed that the combined measurement of WHR and HDL-C had a predictive value for NAFL (area under the curve: 0.653, 95%CI: 0.613-0.694), and for NASH (area under the curve: 0.771, 95%CI: 0.723-0.819). CONCLUSIONS The prevalence rate of NAFLD in overweight/obese children who visit a hospital is high. WHR and HDL-C are associated with the development of NAFLD and the combined measurement of WHR and HDL-C has a certain value for predicating the development of NAFLD.
Child ; Humans ; Cholesterol, HDL ; Cross-Sectional Studies ; Non-alcoholic Fatty Liver Disease/complications* ; Overweight/complications* ; Pediatric Obesity/epidemiology* ; Prevalence ; Adolescent

Background Work-related musculoskeletal disorders (WMSDs) are one of the major occupational health problems in the world. Pharmaceutical industry is an important part of China's national economy. At present, there are few related studies reported at home and abroad. Objective To investigate the status and influencing factors of WMSDs in chemical pharmaceutical industry. Methods A cross-sectional epidemiological survey was conducted among all workers from three chemical pharmaceutical enterprises in Guangzhou. The Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, symptoms of musculoskeletal disorders, types of work, work organization, and and work postures. Multiple logistic regression method was used to analyze the risk factors of WMSDs in chemical pharmaceutical workers. Results In this study, 563 workers were selected as subjects. The total prevalence rate of WMSDs symptoms in the chemical pharmaceutical workers was 43.9% (247/563), and the leading body part-specific prevalence rate from high to low was 34.3% in the lower back, 24.3% in the upper back, 24.0% in the shoulders, and 23.8% in the neck. The prevalence rate of WMSDs symptoms in multiple body parts (30.0%) was 2.16 times higher than that in single body part (13.9%), and the prevalence rate of WMSDs symptoms in four body parts was the highest (11.4%). The results of multiple logistic regression analysis showed that age ≥50 years (reference age <30 years) (OR=2.140, 95%CI: 1.054-4.345), often or very often (reference never/rarely) long-time head rotating (OR=2.695, 95%CI: 1.753-4.142) and long-time keeping arms above shoulders (OR=1.902, 95%CI: 1.108-3.265) increased the risk of reporting WMSDs symptoms (P<0.05). Regarding education level, workers with high school and technical secondary school (OR=0.333, 95%CI: 0.175-0.636) or college and above (OR=0.413, 95%CI: 0.216-0.790) education had a lower risk of reporting WMSDs symptoms than those with middle school or below (P<0.05). Conclusion The prevalence rate of reporting WMSDs symptoms in chemical pharmaceutical industry is high, the involving body parts are lower back, upper back, shoulders, and neck, and reporting simultaneous occurrence of WMSDs symptoms in multiple body parts is common. The chemical pharmaceutical manufacturers can reduce the risk of WMSDs by strengthening the training on workers' ergonomics knowledge, paying attention to the less educated personnel, protecting the elderly workers, and avoiding awkward work postures, like rotating head for a long time and raising arms over shoulders.

From January 2019 to December 2021, overweight and obese children who visited in health outpatient Center of Hunan Children's Hospital were studied to explore and analyze the rate, related factors and patterns of multimorbidity of overweight and obesity-related diseases in children in Hunan Province. Univariate and multivariate logistic regression models were used to analyze the multimorbidity-related factors of overweight and obesity-related diseases in children. Association rules (apriori algorithm) were used to explore the multimorbidity patterns of overweight and obesity-related diseases in children. A total of 725 overweight and obese children were included in this study. The multimorbidity rate of overweight and obesity-related diseases in children was 46.07% (334/725). Age, waist circumference, the frequency of food consumption such as hamburgers and fries and adding meals before bedtime were multimorbidity-related factors of overweight and obesity-related diseases in children. The multimorbidity associated with nonalcoholic fatty liver disease (NAFLD) was relatively common. The patterns with the top three support degrees were "NAFLD+dyslipidemia","NAFLD+hypertension" and "NAFLD+hyperuricemia". The patterns with the top three confidence and elevation degrees were "Hypertension+dyslipidemia => NAFLD","Hyperuricemia => NAFLD" and "NAFLD+hypertension => dyslipidemia".
Child ; Humans ; Overweight/complications* ; Non-alcoholic Fatty Liver Disease ; Pediatric Obesity/epidemiology* ; Hyperuricemia ; Multimorbidity ; Hypertension/epidemiology* ; Dyslipidemias ; Body Mass Index ; Risk Factors

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

【Objective】 To investigate the main causes of blood donor deferral in domestic blood center. 【Methods】 The causes of donor deferral were classified into 12 categories as previous medical history, drug use, alcohol consumption, menstrual period, underweight, abnormal blood pressure, abnormal body temperature, abnormal hemoglobin (Hb), lipemic blood, positive hepatitis B surface antigen (HBsAg), elevated alanine aminotransferase (ALT) and others according to the comparison indicators of Asia-Pacific Blood Network (APBN) and the national standard Blood Donor Health Examination Requirements. The relevant data of the top 3 causes of donor deferral, voluntarily reported by the members of Practice Comparison Working Group of China’s Mainland Blood Collection and Supply Institutions from 2014 to 2019, were collected and a histogram was generated. 【Results】 The median donor deferral rate of 20 domestic blood centers from 2014 to 2019 was 12.14%, with the lowest at 0.18% and highest at 32.32%, respectively. The top three causes for donor deferral were elevated ALT, abnormal Hb and abnormal blood pressure in year 2014, 2015, 2018 and 2019; elevated ALT, lipemic blood and abnormal blood pressure in 2016; elevated ALT, abnormal Hb, and lipemic blood in 2017. 【Conclusion】 The main causes of donor deferral were elevated ALT, abnormal Hb, abnormal blood pressure and lipemic blood.

Tweety-homolog 1 (Ttyh1) is expressed in neural tissue and has been implicated in the generation of several brain diseases. However, its functional significance in pain processing is not understood. By disrupting the gene encoding Ttyh1, we found a loss of Ttyh1 in nociceptors and their central terminals in Ttyh1-deficient mice, along with a reduction in nociceptor excitability and synaptic transmission at identified synapses between nociceptors and spinal neurons projecting to the periaqueductal grey (PAG) in the basal state. More importantly, the peripheral inflammation-evoked nociceptor hyperexcitability and spinal synaptic potentiation recorded in spinal-PAG projection neurons were compromised in Ttyh1-deficient mice. Analysis of the paired-pulse ratio and miniature excitatory postsynaptic currents indicated a role of presynaptic Ttyh1 from spinal nociceptor terminals in the regulation of neurotransmitter release. Interfering with Ttyh1 specifically in nociceptors produces a comparable pain relief. Thus, in this study we demonstrated that Ttyh1 is a critical determinant of acute nociception and pain sensitization caused by peripheral inflammation.

Objective: To compare clinical characteristics of sporadic gastrinoma and multiple endocrine neoplasia type 1 (MEN1)-related gastrinoma. Methods: A retrospective cohort study was conducted. Patients with clinical manifestations of Zollinger-Ellison syndrome, pathological diagnosis as neuroendocrine neoplasm (NEN) and complete clinical and follow-up data were enrolled. Patients with only high gastric acid secretion but without evidence of NEN, or with other concurrent non-NEN tumors were excluded. According to the above criteria, the clinicopathological data of 52 cases of gastrinoma diagnosed from April 2003 to December 2020 in the First Affiliated Hospital, Sun Yat-sen University, were collected. Patients who met the diagnostic criteria of gastrinoma and met one of the following conditions were diagnosed as MEN1-related gastrinoma: (1) the presence of pathogenic mutations in the MEN1 gene confirmed by genetic testing; (2) NENs involving two or more endocrine glands, namely, pituitary, parathyroid, thymic, pancreatic, and adrenal NENs; (3) NEN and at least one first-degree relatives diagnosed as MEN1. The remaining gastrinomas were defined as sporadic gastrinoma. Student's t test and chi-square test were used for statistical analysis. Clinicopathological characteristics, endoscopic findings, imaging characteristics, treatment, and prognosis of sporadic and MEN1-related gastrinoma were compared. Results: Among 52 patients with gastrinoma, 33 were sporadic gastrinoma and 19 were MEN1-related gastrinoma. The common symptoms of both sporadic and MEN1-related gastrinomas were diarrhea (24/33, 72.7%; 17/19, 89.5%) and abdominal pain (19/33, 57.6%; 9/19, 47.4%). Compared with sporadic gastrinoma, MEN1-related gastrinoma needed longer time for diagnosis [(7.4±4.9) years vs. (3.9±5.2) years, t=-2.355, P=0.022), were more likely multiple tumors [47.4% (9/19) vs. 15.2% (5/33), χ(2)=6.361, P=0.012], had smaller diameter [(1.7±1.0) cm vs. (3.1±1.8) cm, t=2.942, P=0.005), presented the lower tumor grade [G1: 83.3% (15/18) vs. 39.4% (13/33); G2: 11.1% (2/18) vs. 54.5% (18/33); G3: 5.6% (1/18) vs. 6.1% (2/33), Z=-2.766, P=0.006], were less likely to have serum gastrin which was 10 times higher than normal [11.8% (2/17) vs. 56.0% (14/33), χ(2)=8.396, P=0.004], had higher probability of complication with type 2 gastric neuroendocrine tumors (g-NET) [31.6% (6/19) vs. 3.0%(1/33), χ(2)=6.163, P=0.013], and had lower rate of liver metastasis [21.1% (4/19) vs. 51.5% (17/33), χ(2)=4.648, P=0.031). There was no obvious difference between sporadic gastrinomas and MEN1-related gastrinomas in endoscopic findings. Both types presented enlarged and swollen gastric mucosa under the stimulation of high gastric acid, and multiple ulcers in the stomach and duodenum could be seen. Gastrinoma with type 2 g-NET presented multiple polypoid raised lesions in the fundus and body of the stomach. (68)Ga-SSR-PET/CT scan had a 100% detection rate for both types while (18)F-FDG-PET/CT scan had a higher detection rate for sporadic gastrinoma compared with MEN1-related gastrinoma [57.9% (11/19) vs. 20.0% (3/15), χ(2)=4.970, P=0.026]. Among the patients with sporadic gastrinoma, 19 received surgical treatment, 1 underwent endoscopic submucosal dissection, 8 underwent transcatheter arterial embolization (TAE), and 5 underwent surgery combined with TAE. Among patients with MEN1-related gastrinoma, 13 received surgical treatment, and the other 6 received conservative treatment. The median follow-up of all the patients was 21.5 (1-129) months, and the 5-year survival rate was 88.4%. The 5-year survival rate of patients with sporadic and MEN1-related gastrinomas was 89.5% and 80.0% respectively (P=0.949). The 5-year survival rate of patients with and without liver metastasis was 76.2% vs. 100%, respectively (P=0.061). Conclusions: Compared with sporadic gastrinoma, MEN1-related gastrinoma has longer diagnosis delay, smaller tumor diameter, lower tumor grading, lower risk of liver metastasis, and is more likely to complicate with type 2 g-NET, while there is no difference in survival between the two tumor types.
Gastrinoma/genetics* ; Humans ; Multiple Endocrine Neoplasia Type 1/genetics* ; Pancreatic Neoplasms/genetics* ; Positron Emission Tomography Computed Tomography ; Retrospective Studies

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity