Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

BACKGROUND: China bears the biggest atrial fibrillation (AF) burden in the world. However, little is known about the incidence and predictors of AF. This study aimed to investigate the current incidence of AF and its electrocardiographic (ECG) predictors in general community individuals aged over 60 years in China. METHODS: This was a prospective cohort study, recruiting subjects who were aged over 60 years and underwent annual health checkups from April to July 2015 in four community health centers in Songjiang District, Shanghai, China. The subjects were then followed up from 2015 to 2019 annually. Data on sociodemographic characteristics, medical history, and the resting 12-lead ECG were collected. Kaplan-Meier curve was used for showing the trends in AF incidence and calculating the predictors of AF. Associations of ECG abnormalities and AF incidence were examined using Cox proportional hazard models. RESULTS: This study recruited 18,738 subjects, and 351 (1.87%) developed AF. The overall incidence rate of AF was 5.2/1000 person-years during an observation period of 67,704 person-years. Multivariable Cox regression analysis indicated age (hazard ratio [HR], 1.07; 95% confidence interval [CI]: 1.06-1.09; P < 0.001), male (HR, 1.30; 95% CI: 1.05-1.62; P = 0.018), a history of hypertension (HR, 1.55; 95% CI: 1.23-1.95; P < 0.001), a history of cardiac diseases (HR, 3.23; 95% CI: 2.34-4.45; P < 0.001), atrial premature complex (APC) (HR, 2.82; 95% CI: 2.17-3.68; P < 0.001), atrial flutter (HR, 18.68; 95% CI: 7.37-47.31; P < 0.001), junctional premature complex (JPC) (HR, 3.57; 95% CI: 1.59-8.02; P = 0.002), junctional rhythm (HR, 18.24; 95% CI: 5.83-57.07; P < 0.001), ventricular premature complex (VPC) (HR, 1.76; 95% CI: 1.13-2.75, P = 0.012), short PR interval (HR, 5.49; 95% CI: 1.36-22.19; P = 0.017), right atrial enlargement (HR, 6.22; 95% CI: 1.54-25.14; P = 0.010), and pacing rhythm (HR, 3.99; 95% CI: 1.57-10.14; P = 0.004) were independently associated with the incidence of AF. CONCLUSIONS The present incidence of AF was 5.2/1000 person-years in the studied population aged over 60 years in China. Among various ECG abnormalities, only APC, atrial flutter, JPC, junctional rhythm, short PR interval, VPC, right atrial enlargement, and pacing rhythm were independently associated with AF incidence.
Humans ; Male ; Middle Aged ; Aged ; Atrial Fibrillation/epidemiology* ; Prospective Studies ; Incidence ; Atrial Flutter/complications* ; Risk Factors ; China/epidemiology* ; Electrocardiography

Objective:To compare the clinical effects of percutaneous curved vertebroplasty (PCVP) and unilateral percutaneous kyphoplasty (PKP) in the treatment of osteoporotic vertebral compression fracture (OVCF).Methods:A retrospective cohort study was used to analyze the clinical data of 104 patients with single vertebral OVCF treated in Tianjin Hospital from September 2019 to September 2020, including 21 males and 83 females; aged 50-91 years [(70.3±7.7)years]. AO classification of the fracture was type A1 in 65 patients and type A2 in 39. The patients received PCVP (PCVP group, n=51) or unilateral PKP surgery (unilateral PKP group, n=53). The operation time, bone cement injection volume, intraoperative fluoroscopy frequency, effective dispersion times of bone cement and excellent rate of bone cement distribution were compared between the two groups. In evaluation of the therapeutic effects of the two groups, visual analogue scale (VAS) and Oswestry dysfunction index (ODI) were measured preoperatively and at postoperative 24 hours, 3 months and 6 months; Beck index was measured preoperatively and at postoperative 24 hours and 3 months. The rate of bone cement leakage and rate of refracture of adjacent vertebral bodies were compared between the two groups. Results:All patients were followed up for 6-8 months [(6.4±0.7)months]. The operation time, bone cement injection volume and intraoperative fluoroscopy frequency in PCVP group was (12.15±1.63)minutes, (2.13±0.28)ml and (24.74±1.71)times, shorter or less than (22.09±1.62)minutes, (5.30±0.52)ml and (30.09±1.86)times in unilateral PKP group (all P<0.01). The effective dispersion times of bone cement in PCVP group was (1.42±0.04)times, higher than (1.18±0.02)times in unilateral PKP group ( P<0.01). The excellent rate of bone cement distribution in PCVP group was 94%, higher than 70% in unilateral PKP group ( P<0.01). There were no significant differences in VAS, ODI and Beck index between the two groups before operation and at 24 hours and 3 months after operation (all P>0.05). VAS and ODI in PCVP group were (1.20±0.49)points and 16.52±5.22 at 6 months after operation, lower than (1.49±0.58)points and 20.16±5.16 in unilateral PKP group (all P<0.01). VAS and ODI in the two groups were significantly improved at 24 hours, 3 months and 6 months after operation when compared with those before operation (all P<0.05). Beck index in the two groups detected at 24 hours and 3 months after operation was improved from that before operation (all P<0.05). Unilateral PKP group showed Beck index was 0.75±0.07 at 3 months after operation, significantly lower than 0.79±0.07 at 24 hours after operation ( P<0.05), but there was no significant change in PCVP group ( P>0.05). The leakage rate of bone cement in PCVP group was 16% (8/51), lower than 47% (25/53) in unilateral PKP group ( P<0.01). There was no significant difference in the incidence of refracture of adjacent vertebral bodies between the two groups during follow-up ( P>0.05). Conclusion:For OVCF, PCVP is superior to unilateral PKP in terms of operation time, amount of bone cement injection, intraoperative fluoroscopy frequency, dispersion effect of bone cement in vertebral body, pain, function improvement, maintenance of injured vertebral height and incidence of bone cement leakage.

Objective: To analyze the relationship between screen time and gross motor development and to provide scientific basis for health promotion among preschool children. Methods: In March 2021, gross motor of 373 children from 5 kindergartens in Baotou was tested by Test of Gross Motor Development (TGMD). Screen time (ST) was collected by parental questionnaire. Paired t-test was used to compare the screen time between working days and weekends, and independent sample t-test was used to compare the differences of children s motor development between different sexes. Results: ST of children was (52.10±31.67) min/d during the week and (65.79±10.36) min/d during the weekend. There were significant differences in the total scores of gross motor and mobile motor of children in different sexes( t=2.35, 2.65, P <0.05). The correlation between total screen time and gross motor, mobile motor and operant motor was statistically significant ( r =-0.22--0.20, P <0.01). Multiple linear regression showed that the time spent watching TV and the time spent using mobile phones during the week were the main factors affecting the gross motor development. Conclusion There is a significant negative correlation between children s screen time and gross motor development. It is important to reduce the time spent on TV and mobile phone to improve childhood gross motor development.

Objective:To investigate the predictive value of abnormal heart rate circadian rhythm for all-cause mortality in stage 5 chronic kidney disease (CKD 5) patients.Methods:The retrospective study was performed in CKD 5 patients enrolled from the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital) and the Affiliated BenQ Hospital of Nanjing Medical University from February, 2011 to December, 2019. A total of 159 healthy volunteers were enrolled as the healthy control group during the same period. The circadian rhythm of heart rate was monitored by 24-hour Holter. Related indices (including 24-hour, daytime and nighttime mean heart rate, night/day heart rate ratio, 24-hour maximum heart rate, 24-hour minimum heart rate and difference between maximum and minimum of 24-hour heart rate) were calculated. Non-dipping heart rate was defined as night/day heart rate ratio greater than 0.9. Cox regression model was used to analyze the risk factors of all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve and Log-rank test were used to compare the differences of cumulative mortality between high ratio group (night/day heart rate ratio>0.91) and low ratio group (night/day heart rate ratio≤0.91). The nonlinear relationship between night/day heart rate ratio and all-cause mortality was analyzed by restricted cubic spline plot. Time-dependent receiver operating characteristic (ROC) curve was used to analyze the predictive value of night/day heart rate ratio for all-cause mortality in CKD 5 patients.Results:A total of 159 healthy volunteers and 221 CKD 5 patients were included in this study. There were 123 males (55.66%) and the age was (52.72±13.13) years old in CKD 5 patients. The total median follow-up time was 50.0 months. Compared with controls, 24-hour, nighttime mean heart rate, 24-hour minimum heart rate in CKD 5 patients were increased (all P<0.05), furthermore, the night/day heart rate ratio was higher [(0.91±0.09) vs (0.81±0.08), P<0.001], showing "non-dipping heart rate". However, the 24-hour maximum heart rate and the difference between maximum and minimum of 24-hour heart rate in CKD 5 patients were lower than controls (both P<0.05). Multivariate Cox regression analysis showed that the increased night/day heart rate ratio (per 0.1 increase, HR=1.557, 95% CI 1.073-2.258, P=0.020) was an independent influencing factor for all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve analysis showed that the cumulative mortality of the high ratio group was significantly increased than that of the low ratio group (Log-rank test χ 2=7.232, P=0.007). From the restricted cubic spline plot, there was a linear effect between night/day heart rate ratio and all-cause mortality ( P=0.141), and when night/day heart rate ratio was above 0.91, the risk of all-cause mortality was significantly increased in CKD 5 patients. According to time-dependent ROC curve, the accuracy of night/day heart rate ratio in predicting all-cause mortality was 70.90% even when the survival time was up to 70.0 months. Conclusions:The circadian rhythm of heart rate in CKD 5 patients displays "non-dipping" state. High night/day heart rate ratio is an independent influencing factor for all-cause mortality in CKD 5 patients.

Objective:To observe heart rate circadian rhythm in patients with chronic kidney disease (CKD) stage 5 and to analyze the effects of parathyroidectomy (PTX) on heart rate circadian rhythm in severe secondary hyperparathyroidism (SHPT) patients.Methods:A cross-sectional observation was performed in 213 patients with CKD stage 5 and 96 controls, and the patients were divided into those with severe SHPT (PTX group, n=70) and without severe SHPT (non-PTX group, n=143). Forty-six PTX patients were followed up prospectively. The baseline data were compared among these groups. Holter electrocardiogram was performed for each participant. Non-dipping heart rate was defined as night/day heart rate ratio greater than 0.9. Multiple linear regression analysis was used to analyze the related factors of heart rate circadian rhythm in patients with CKD stage 5. Results:The 24-hour, daytime and nighttime mean heart rate in patients with CKD stage 5 were all higher than those in controls, especially in PTX group (all P<0.05). The night/day heart rate ratios of controls and CKD stage 5 patients were (0.81±0.08) and (0.91±0.08) respectively ( P<0.01). Correlation analysis showed 24-hour and daytime or nighttime mean heart rate in patients with CKD stage 5 were positively correlated with serum levels of phosphorus and ln(alkaline phosphatase), while nighttime mean heart rate and night/day heart rate ratio were positively related with serum intact parathyroid hormone level. After adjusting with postoperative follow-up period (median time: 10.9 months), 24-hour and nighttime mean heart rate, and night/day heart rate ratio in PTX patients all decreased significantly (all P<0.01). Conclusions:Heart rate is increased and circadian rhythm is abnormal in patients with CKD stage 5, which are related with mineral and bone disorder. PTX significantly decreases 24-hour and nighttime mean heart rate in severe SHPT patients, and improves the heart rate circadian rhythm.

Objective: To understand and explore the fear-related emotional disorder and its influencing factors among college students during the prevalence of coronavirus disease 2019 （COVID-19）, in order to provide reference for the further health education and psychological intervention. Methods: A self-designed questionnaire for general data and Psychological Questionnaires for Emergent Events of Public Health （PQEEPH） were typed in www.wjx.cn and sent out to the students of four univerties in Xi'an by WeChat from February 7th to 9th,2020. The status and influencing factors of fear-related emotional disorder in response to COVID-19 were analyzed. Results: Totally 1 546 valid questionnaire were collected. The average age of the students was （20.24±1.60）years old. There were 761 males（49.22%）and 785（50.78%）females;499 medical students （32.27%）and 1 047 non-medical students（67.72%）. The average score of fear dimension was 0.90±0.59,which was the highest in PQEEPH. Moreover, 280 students had fear-related emotional deviance,accounting for 18.11%,and 57 students had fear-related emotional disorder,accounting for 3.69%. The rate of fear-related emotional disorder was significantly higher in non-medical students（4.58%）than in medical students（1.80%,P<0.05）. The rate of fear-related emotional disorder was significantly higher in the students who considered themselves close to COVID-19（4.22%）and at risk of COVID-19（5.45%） than in the students who did not（1.94% and 0.98%,both P<0.05）. Conclusions Totally 3.69% of the students from universities in Xi'an suffer from fear-related emotional disorder in response to COVID-19. The students who do not major in medicine are prone to developing fear-related emotional disorder.

Objective: To explore the psychological responses and related factors of college students in Shaan’xi during the outbreak of COVID-19, in order to provide reference for the psychological intervention for college students. Methods: A self-designed general data questionnaire and Psychological Questionnaires for Emergent Events of Public Health(PQEEPH) were sent out to students in public university aged 18 to 28 years by Wechat APP from February 7th to 9th, 2020. Univariate and Logistic analysis were used to analyze the influencing factors associated with NCP. Results: The scores of the five factors on the PQEEPH scale were (0.29±0.48) for depression, (0.27±0.46) for neurasthenia, (0.92±0.60) for fear, (0.15±0.34) for obsessive-anxiety, and (0.26±0.44) for hypochondria，The score of fear factors were the highest. And 15.4% had depressive emotional deviation, accounting for the highest proportion of emotional deviation, and the proportion of compulsive anxiety emotional disorder was highest, which accounting for 6.4%. Logistic regression analysis showed that the higher grades were risk factors for depression (OR=1.61, 95%CI=1.05-2.47), obsessive anxiety (OR=1.56, 95%CI=1.05-2.31) and hypochondria (OR=2.01, 95%CI=1.16-3.47) disorders, Non-medical specialties is risk factor for fear disorders (OR=2.16, 95%CI=1.18-3.95)，not believing oneself to be in danger in the face of the epidemic was a protective factor for five types of mood disorders (OR=0.17-0.51), and residence in towns and villages was a protective factor for neurasticity disorders (OR=0.58, 95%CI=0.38-0.87), the gender of female was the protective factor of hypochondria emotional disorder (OR=0.34, 95%CI=0.19-0.62)(P<0.05). Conclusion During outbreak of COVID-19, psychological intervention counselling and health education of college students should be strengthened. Moreover, psychological problems need be screened in time for intervention, so as to reduce panic and other adverse psychological conditions of students.

Objective To understand the basics and existing problems of labor dispatchers at institutions of healthcare and public health, and to provide reference for its improvement. Methods In October 2017, 3548 dispatchers from 29 such institutions in Beijing were investigated to find out the basic salary and welfare, career development and labor disputes of their dispatchers. Descriptive statistics was used to analyze the data. Results Among those dispatched of 29 institutions surveyed, 51. 2％ were employed upon staffing quota, 31. 1％ were dispatched and 17. 7％ were employed in other forms. Labor dispatchers had higher educational level as a whole, mainly college and undergraduate education, accounting for 79. 6％;their social security was well assured, and there were few cases of labor disputes. Conclusions It is necessary to further improve the management of labor dispatch personnel, highlight post management, improve salary and welfare mechanism, smooth career development channels, and strengthen the awareness of risk prevention and control.