Objective To investigate the distribution characteristics of Oncomelania hupensis snails in Yunnan Province fol-lowing interruption of schistosomiasis transmission, so as to provide the evidence for assessing the risk of schistosomiasis transmission and scientifically formulating the schistosomiasis surveillance program. Methods According to the requirements of the National Schistosomiasis Surveillance Scheme (2020 Edition), O. hupensis snail surveillance data were collected from 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province from 2020 to 2024, including area of snail survey, area of snail habitats, area of re-emerging snail habitats, number of frames surveyed, number of frames with O. hupensis snails, number of O. hupensis snails captured, and number of living snails, and the occurrence of frames with snails and mean density of living snails were calculated. Changes in snail status over the 5-year period from 2020 to 2024 and the differences in snail distributions specified by epidemic intensity, environmental type, and vegetation type were analyzed. Results The areas of snail survey increased from 1 727.96 hm² in 2020 to 3 894.45 hm² in 2024 (peak) across 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province during the period from 2020 through 2024. The areas of snail habitats increased from 70.36 hm² in 2020 to a peak in 2023 (172.04 hm²), followed by a reduction to 132.36 hm² in 2024, and the areas of re-emerging snail habitats increased from 42.71 hm² in 2020 to a peak in 2022 (78.43 hm²), followed by a reduction to 40.21 hm² in 2024. The occurrence of frames with snails and mean density of living snails increased from 1.24% (3 025/244 404) and (0.033 2 ± 0.038 7) snails/0.1 m² in 2020 to peaks at 2.03% (6 231/307 563) and (0.066 9 ± 0.068 4) snails/0.1 m² in 2023, followed by reductions to 1.04% (5 829/559 941) and (0.032 6 ± 0.057 7) snails/0.1 m² in 2024, respectively. There was a significant difference in the occurrence of frames with snails over the 5-year study period (χ² = 1 962.95, P < 0.05), and the occurrence of frames with snails reduced by 48.71% in 2024 relative to in 2023 (χ² = 1 411.05, P < 0.005); however, there was no significant difference in the mean density of living snails over the 5 years (H = 5.310, P > 0.05). There were significant differences in the occurrence of frames with snails (χ² = 481.27, P < 0.05) and mean density of living snails (H = 6.872, P < 0.05) in schistosomiasis-endemic areas with different epidemic intensities. The occurrence of frames with snails (χ² = 25.32 and 38.70, both P values < 0.017) and mean density of living snails (Z = 28.55 and 49.96, both P values < 0.017) were higher in schistosomiasis transmission-interrupted and eliminated areas with snails than in schistosomiasis-eliminated areas without snails, and the occurrence of frames with snails (χ² = 453.54, P < 0.017) and mean density of living snails (Z = −56.97, P < 0.017) were higher in schistosomiasis-eliminated areas with snails than in schistosomiasis transmission-interrupted areas with snails. O. hupensis snails were mainly distributed in paddy fields, dry farmlands and ditches; however, the occurrence of frames with snails (13.40%, 424/3 164) and mean density of living snails [(0.252 8 ± 0.158 7) snails/0.1 m²] were higher in ponds/weirs than in other types of environments (both P values < 0.05). Rice, dry farmland crops and weeds were main vegetations in which O. hupensis snails were distributed, and the occurrence of frames with snails (2.29%, 7 111/310 140) and mean density of living snails [(0.072 3 ± 0.018 9) snails/0.1 m²] were higher in weeds than in other types of environments (both P values < 0.05). Conclusions O. hupensis snails have been effectively controlled in Yunnan Province following implementation of integrated schistosomiasis control measures; however, there are still risk factors for schistosomiasis transmission, including reduced attention to schistosomiasis control and snail re-emergence. Improved control efforts and surveillance system construction and timely identification of risk factors of snail status and timely management are recommended to ensure the achievement of the target of schistosomiasis elimination as scheduled.

Objective:To evaluate the efficacy of modified splenic arteriovenous shunt surgery at the distal pancreatic tail in combined pancreas-kidney transplantation.Methods:A retrospective analysis was conducted on 24 recipients who underwent combined pancreas-kidney transplantation with the modified splenic arteriovenous shunt at the pancreatic tail from November 2023 to October 2024 (shunt group) and 231 recipients who received conventional splenic artery and vein ligation since 2016 (ligation group). The incidence of perioperative thrombosis and severe adverse events was compared between the two groups using the chi-square test or Fisher's exact test. Independent sample t-tests were performed to assess postoperative pancreatic and renal function recovery as well as blood perfusion in 15 recipients from the shunt group and 20 from the ligation group who underwent CT perfusion imaging (CTP).Results:The incidence of perioperative splenic arteriovenous thrombosis was lower in the shunt group (0) compared to the ligation group (4.76%, 11/231), though the difference was not statistically significant ( P=0.606). One month postoperatively, the shunt group demonstrated significantly lower serum amylase levels than the ligation group (99.61±19.62 vs. 148.20±70.67 U/L, P=0.018). However, at the time of CTP examination, serum lipase (67.87±32.35 vs. 45.11±17.94 U/L, P=0.014) and creatinine levels (131.79±26.41 vs. 112.1±24.98 μmol/L, P=0.034) were significantly higher in the shunt group. Urea nitrogen levels were also significantly higher in the shunt group both one month postoperatively (11.24±4.64 vs. 8.51±3.01 mmol/L, P=0.043) and at the CTP examination (10.41±1.78 vs. 6.87±1.91 mmol/L, P=0.001). Regarding pancreatic perfusion, blood volume in both the pancreatic head (15.99 ± 3.51 vs. 20.67 ± 5.47 ml/100 g, P = 0.024) and tail (17.19±4.24 vs. 27.40±19.80 ml/100 g, P=0.039) was significantly lower in the shunt group. After one minute of splenic artery perfusion, the shunt group exhibited significantly higher splenic artery blood flow (755.85±101.50 vs. 574.00 ± 142.06 ml·min -1· (100 g) -1, P<0.001) and blood volume (58.90 ±19.93 vs. 23.21±17.02 ml/100 g, P=0.007) compared to the ligation group. These differences persisted after two minutes of perfusion (blood flow: 793.83±68.57 vs. 503.78 ± 130.80 ml·min -1· (100 g) -1, P<0.001; blood volume: 64.22±15.74 vs. 34.32±20.39 ml/100 g, P=0.002). For the transplanted kidney, the shunt group had significantly lower blood flow (113.10±28.55 vs. 232.76±113.37 ml·min -1· (100 g) -1, P<0.001), blood volume (28.95±10.79 vs. 38.36±12.38 ml/100 g, P=0.047), and capillary surface permeability (PS) (26.49±16.57 vs. 43.02±20.37, P = 0.042) in the upper pole. Similar reductions in blood flow, blood volume, and PS were observed in the middle dorsal region ( P=0.018, 0.021, and 0.048, respectively) and lower pole ( P<0.001, P=0.048, and P=0.012, respectively). Conclusion:The modified splenic arteriovenous shunt at the pancreatic tail appears to be a safe and effective approach to reducing the risk of pancreatic graft thrombosis. This technique facilitates effective diversion of pancreatic parenchymal blood flow into the splenic vein, alleviating hyperperfusion of the transplanted pancreas. While renal blood perfusion was reduced postoperatively, it did not adversely affect renal function.

Objective: To analyze the potential categories and influencing factors of the compliance trajectory of orthokeratology lenses (OK lens) in myopic children and adolescents, so as to provide a basis for dynamic and accurate intervention of OK lens compliance in myopic children and adolescents. Methods: From January to June 2024, 310 myopic children and adolescents wearing OK lens were selected as research subjects from the Ophthalmology Medical Center of Cangzhou Central Hospital using a convenient sampling method. Data were collected at four time points: when the glasses were first fitted (T0), 2 weeks after fitting (T1), 1 month later (T2), 3 months later (T3), and 6 months later (T4). The data collection methods included general information questionnaires, compliance surveys for OK lens wearers, the Behavior Rating Inventory of Executive Function-Self-report Version (BRIEF-SR), family support scales, and a self-made questionnaire on myopia control attitudes. A growth mixed model was used to identify the trajectory categories of compliance with OK lens wearing among myopic children and adolescents, and multiple Logistic regression analysis was employed to examine the influencing factors. Results: The compliance with OK lens among myopic children and adolescents were roughly divided into four developmental trajectories: C1 exemplary adherent (58 cases, 18.71%), C2 gradual progressor (130 cases, 41.94%), C3 fluctuating (85 cases, 27.42%), and C4 stubborn low follower (37 cases, 11.94%). Multivariate Logistic regression analysis showed that, with C1 group as the reference, age (C3, OR = 0.74 ), parental education level (C4, OR =0.67), executive function (C2, OR =0.69; C4, OR =0.44), family support (C3, OR =0.75) and myopia control attitude (C2, OR =0.39) were all influencing factors for the compliance trajectory of OK lens; with C2 group as the reference, age (C3, OR = 0.55 ), parental education level (C3, OR =0.34; C4, OR =0.64), executive function (C3, OR =0.77), and family support (C4, OR =0.58) were all influencing factors for the compliance trajectory of OK lens; with C3 group as the reference, age (C4, OR = 0.68 ), and myopia control attitude (C4, OR =0.44) were both influencing factors for the compliance trajectory of OK lens ( P <0.05). Conclusions The compliance of wearing OK lens in children and adolescents with myopia can be roughly divided into four trajectories, and there is group heterogeneity. Dynamic and precise compliance intervention strategies should be given based on different trajectories and influencing factors.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Objective:To evaluate the efficacy of modified splenic arteriovenous shunt surgery at the distal pancreatic tail in combined pancreas-kidney transplantation.Methods:A retrospective analysis was conducted on 24 recipients who underwent combined pancreas-kidney transplantation with the modified splenic arteriovenous shunt at the pancreatic tail from November 2023 to October 2024 (shunt group) and 231 recipients who received conventional splenic artery and vein ligation since 2016 (ligation group). The incidence of perioperative thrombosis and severe adverse events was compared between the two groups using the chi-square test or Fisher's exact test. Independent sample t-tests were performed to assess postoperative pancreatic and renal function recovery as well as blood perfusion in 15 recipients from the shunt group and 20 from the ligation group who underwent CT perfusion imaging (CTP).Results:The incidence of perioperative splenic arteriovenous thrombosis was lower in the shunt group (0) compared to the ligation group (4.76%, 11/231), though the difference was not statistically significant ( P=0.606). One month postoperatively, the shunt group demonstrated significantly lower serum amylase levels than the ligation group (99.61±19.62 vs. 148.20±70.67 U/L, P=0.018). However, at the time of CTP examination, serum lipase (67.87±32.35 vs. 45.11±17.94 U/L, P=0.014) and creatinine levels (131.79±26.41 vs. 112.1±24.98 μmol/L, P=0.034) were significantly higher in the shunt group. Urea nitrogen levels were also significantly higher in the shunt group both one month postoperatively (11.24±4.64 vs. 8.51±3.01 mmol/L, P=0.043) and at the CTP examination (10.41±1.78 vs. 6.87±1.91 mmol/L, P=0.001). Regarding pancreatic perfusion, blood volume in both the pancreatic head (15.99 ± 3.51 vs. 20.67 ± 5.47 ml/100 g, P = 0.024) and tail (17.19±4.24 vs. 27.40±19.80 ml/100 g, P=0.039) was significantly lower in the shunt group. After one minute of splenic artery perfusion, the shunt group exhibited significantly higher splenic artery blood flow (755.85±101.50 vs. 574.00 ± 142.06 ml·min -1· (100 g) -1, P<0.001) and blood volume (58.90 ±19.93 vs. 23.21±17.02 ml/100 g, P=0.007) compared to the ligation group. These differences persisted after two minutes of perfusion (blood flow: 793.83±68.57 vs. 503.78 ± 130.80 ml·min -1· (100 g) -1, P<0.001; blood volume: 64.22±15.74 vs. 34.32±20.39 ml/100 g, P=0.002). For the transplanted kidney, the shunt group had significantly lower blood flow (113.10±28.55 vs. 232.76±113.37 ml·min -1· (100 g) -1, P<0.001), blood volume (28.95±10.79 vs. 38.36±12.38 ml/100 g, P=0.047), and capillary surface permeability (PS) (26.49±16.57 vs. 43.02±20.37, P = 0.042) in the upper pole. Similar reductions in blood flow, blood volume, and PS were observed in the middle dorsal region ( P=0.018, 0.021, and 0.048, respectively) and lower pole ( P<0.001, P=0.048, and P=0.012, respectively). Conclusion:The modified splenic arteriovenous shunt at the pancreatic tail appears to be a safe and effective approach to reducing the risk of pancreatic graft thrombosis. This technique facilitates effective diversion of pancreatic parenchymal blood flow into the splenic vein, alleviating hyperperfusion of the transplanted pancreas. While renal blood perfusion was reduced postoperatively, it did not adversely affect renal function.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

Objective The aim of this study was to investigate the prospective association between physical activity (PA),independently or in conjunction with other contributing factors,and osteoporosis (OP) outcomes. Methods The Physical Activity in Osteoporosis Outcomes (PAOPO) study was a community-based cohort investigation. A structured questionnaire was used to gather the participants' sociodemographic characteristics. Bone mineral density (BMD) measurements were performed to assess OP outcomes,and the relationship between BMD and OP was evaluated within this cohort. Results From 2013 to 2014,8,471 participants aged 18 years and older were recruited from Tangshan,China's Jidong community. Based on their PA level,participants were categorized as inactive,moderately active,or very active. Men showed higher physical exercise levels than women across the activity groups. BMD was significantly higher in the very active group than in the moderately active and inactive groups. Individuals aged>50 years are at a higher risk of developing OP and osteopenia. Conclusion The PAOPO study offers promising insights into the relationship between PA and OP outcomes,encouraging the implementation of PA in preventing and managing OP.