1.Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020
Chinese Journal of School Health 2025;46(7):922-925
Objective:
To analyze the epidemiological characteristics and trends of other infectious diarrhea among children under 18 years old in Guangzhou City from 2014 to 2020, and to explore the correlation between climatic factors and the incidence of the disease, so as to provide reference for the early prevention of infectious diseases.
Methods:
The data of cases of other infectious diarrhea and meteorological data of children under 18 years old in Guangzhou City from 2014 to 2020 were collected through the Chinese Infectious Disease Reporting System and the Guangzhou Meteorological Bureau. The correlation between meteorological factors and the incidence of other infectious diarrhea was analyzed using negative binomial regression.
Results:
A total of 104 566 cases of other infectious diarrhea among children under 18 years old were reported in Guangzhou City from 2014 to 2020, with a male to female ratio of 1.48∶1. The incidence rate was the highest in 2017 (980.83 per 100 000) and the lowest in 2020 (388.22 per 100 000). The peak of incidence occurred from October to March of the following year. Children under 5 years old accounted for 87.95% of all cases. The number of cases of other infectious diarrhea was negatively correlated with the temperature of the previous 6 days ( IRR = -0.07 ), and positively correlated with the temperature difference on the day of onset ( IRR =0.02) (both P <0.05). It was also positively correlated with the wind speed of the previous 7 days ( IRR=0.07, P <0.05), but there was no statistically significant correlation with the relative humidity on the day of onset ( IRR=-0.00, P >0.05).
Conclusions
Low temperature, large temperature difference, and high wind speed can increase the risk of other infectious diarrhea. It is necessary to strengthen the prediction and early warning in conjunction with meteorological changes, and warn kindergartens and schools to enhance preventive measures against the clustering of other infectious diarrhea cases.
2.A randomized controlled study on improving the repeatability of setup in postoperative radiotherapy for head and neck cancers through neck muscle group exercise
Jie LI ; Xiaowei YAO ; Bo LI ; Linlin XU ; Zhaodi XU ; Lihua ZHANG ; Fei BAI
Chinese Journal of Radiological Medicine and Protection 2025;45(10):979-985
Objective:To explore the effect of neck muscle group exercise on setup errors in postoperative radiotherapy for head and neck cancers.Methods:A total of 126 head and neck cancer patients scheduled for radiotherapy at the First Affiliated Hospital, Air Force Medical University from February 2021 to October 2022 were prospectively enrolled. Among these patients, four patients discontinued treatment due to personal reasons, and the remaining 126 patients were randomly divided into an experimental group and a control group, with 61 patients in each group. The experimental group received neck muscle group exercise, while the control group received routine treatment without intervention. Cone-beam CT (CBCT) scans were performed weekly to measure setup errors at the levels of the clivus and the 4 th and 7 th cervical vertebrae (C4 and C7, respectively). Three-dimensional displacement, systematic errors, and random errors were calculated for each level. The appropriate margins of planning target volumes (PTVs) were determined using the Van Herk formula. Results:Baseline characteristics were well-balanced between the two groups, with no statistically significant differences ( P > 0.05). Compared to the control group, the experimental group showed significantly smaller setup errors in the left-right ( x) and anterior-posterior ( z) directions at the clivus level, as well as in the z direction at the C4 and C7 vertebral levels ( t = 2.30, 5.29, 4.07, 2.40, P < 0.05). The required PTV margin in the z direction increased to 4.0 mm at C7 from 2.4 mm and 2.8 mm at the clivus in the experimental and control groups, respectively. Correlation analysis revealed a strong negative correlation between the x-direction at the clivus and C4 vertebral levels and the couch angle (RTN) among all patients ( r = -0.548, -0.452, P < 0.001). A moderate negative correlation was observed between the inferior-superior ( y) direction and the z-direction at the C4 and C7 vertebral levels ( r = -0.160, -0.222, P < 0.001). Conclusions:Neck muscle group exercise can reduce setup errors and PTV margins in the anterior-posterior direction in postoperative radiotherapy for head and neck cancer patients.
3.Diagnostic value and influencing factors of endoscopic ultrasonography for rectal neuroendocrine neoplasms
Xiaotong WANG ; Xiaowei WANG ; Wenjun ZHAO ; Zeyuan DIAO ; Wen SONG ; Yao LIU ; Zhenzhen SUI ; Ya LIU ; Hua LIU
Chinese Journal of Digestive Endoscopy 2025;42(6):474-479
Objective:To investigate the diagnostic value and influencing factors of endoscopic ultrasonography (EUS) for detecting rectal neuroendocrine neoplasms (R-NENs).Methods:A retrospective case-control study was performed on data of patients with suspected R-NENs by white light endoscopy who underwent endoscopic diagnosis and treatment or surgical operation and obtained pathological diagnosis at the Affiliated Hospital of Qingdao University from March 2016 to June 2023. Clinical data, EUS characteristics and pathological results were statistically analyzed, and the diagnostic accuracy of EUS for R-NENs were obtained by comparing the EUS results with the pathological results. Influencing factors affecting accuracy were analyzed by using the binary logistic regression model.Results:A total of 317 patients were included. The sensitivity, the specificity, the positive predictive value and the negative predictive value of EUS in diagnosing R-NENs were 98.03% (249/254), 34.92% (22/63), 85.86% (249/290) and 81.48% (22/27) respectively. The accuracy was 85.49% (271/317) and the Jorden index was 0.33. Tumor size ≤5 mm ( P=0.002, OR=2.892, 95% CI: 1.464-5.713), absence of surface vascular dilation ( P=0.019, OR=2.613, 95% CI: 1.170-5.837), normal tumor coloration ( P=0.001, OR=3.460, 95% CI: 1.645-7.279) and erythematous surface appearance ( P=0.048, OR=7.242, 95% CI: 1.015-51.680) were independent risk factors affecting the accuracy of R-NENs diagnosis by EUS. Depth assessment accuracy of EUS was 76.77% (195/254), with echo heterogeneity ( P<0.001, OR=4.008, 95% CI: 1.980-8.113) and surface depression ( P=0.035, OR=2.664, 95% CI: 1.073-6.615) emerging as significant factors affecting invasion depth evaluation. Conclusion:EUS demonstrates substantial clinical utility for R-NENs assessment, with diagnostic performance being significantly associated with tumor morphology and sonographic features. Macroscopic characteristics including tumor size, vascular patterns, and chromatic features influence diagnostic accuracy, while echo-textural heterogeneity and surface depression affect invasion depth precision. These findings underscore the clinical relevance of comprehensive EUS evaluation in R-NENs management.
4.Efficacy of tegoprazan versus esomeprazole in treatment of reflux esophagitis and analysis of influencing factors for treatment failure
Yanhong ZHU ; Shangzhi YAO ; Feng JU ; Meilin LI ; Xiaowei WANG
Journal of Clinical Medicine in Practice 2025;29(13):61-65
Objective To compare the efficacy of tegoprazan and esomeprazole in treatment of reflux esophagitis(RE)and analyze the influencing factors for treatment failure.Methods A total of 120 RE patients were selected as study subjects and divided into control group(treated with esome-prazole)and observation group(treated with tegoprazan)using random number table method,with 60 cases in each group.The clinical efficacy and gastroscopic efficacy of the two groups were com-pared.Based on the gastroscopic assessment results,the patients were divided into failure group(26 cases)and success group(94 cases).The clinical data of the failure group and the success group were collected and compared.Multivariate Logistic regression analysis was used to screen the influen-cing factors for treatment failure in RE patients.Results The total clinical effective rate in the ob-servation group was 93.33%(56/60),which was higher than 76.67%(46/60)in the control group(P<0.05).The total effective rate under gastroscopy in the observation group was 88.33%(53/60),which was higher than 68.33%(41/60)in the control group,and the difference was statistically significant(P<0.05).The proportions of patients with body mass index(BMI)>28 kg/m2,diabe-tes,a family history,Helicobacter pylori(Hp)infection,Los Angeles classification(LA classifica-tion)of gastroesophageal reflux disease(GERD)grade C to D,and treated with esomeprazole in the failure group were all higher than those in the success group,and the differences were statistically significant(P<0.05).Multivariate Logistic regression analysis showed that BMI>28 kg/m2,con-comitant diabetes,LA classification grade C to D,and treatment with esomeprazole were all inde-pendent risk factors for treatment failure in RE patients(P<0.05).Conclusion Tegoprazan has a significant clinical effect in treatment of RE,and its efficacy is superior to that of esomeprazole.BMI>28 kg/m2,concomitant diabetes,LA classification grade C to D,and treatment with esome-prazole are all risk factors for treatment failure in RE patients.
5.Constructing A Knowledge-driven and Data-driven Hybrid Decision Model for Etiological Diagnosis of Ventricular Tachycardia
Min WANG ; Zhao HU ; Xiaowei XU ; Si ZHENG ; Jiao LI ; Yan YAO
Medical Journal of Peking Union Medical College Hospital 2025;16(2):454-461
Objective To construct a hybrid decision-making model that integrates knowledge-driven and data-driven approaches,and to apply it to the etiological diagnosis of ventricular tachycardia(VT).Methods Clinical practice guidelines,expert consensus documents,and medical literature in the field of ar-rhythmia diseases from 2018 to 2023 were retrieved as knowledge sources.Retrospective electronic medical re-cord data of VT patients from Fuwai Hospital,Chinese Academy of Medical Sciences & Peking Union Medical College,from 2013 to 2023 were collected as the dataset.A knowledge-driven model was constructed using a knowledge-rule-based approach to establish clinical pathways.A three-class machine learning model for VT eti-ology diagnosis was developed based on real-world data,and the best-performing model was selected as the rep-resentative of the data-driven approach.The machine learning model was embedded into the decision nodes of the clinical pathway in the form of custom operators,forming the hybrid model.The precision,recall,and F1 score of the three models were evaluated.Results Three clinical practice guidelines were included as knowl-edge sources for the knowledge-driven model.A total of 1305 patient records were collected as the dataset,and five machine learning models were constructed,with the XGBoost model performing the best.The hybrid model adopted a knowledge-driven decision-making framework,embedding the XGBoost model into the decision nodes of a two-level classification.The precision,recall,and F1 scores of the three models were as follows:the knowledge-driven model achieved 80.4%,79.1%,and 79.7%;the data-driven model achieved 88.4%,88.5%,and 88.4%;and the hybrid model achieved 90.4%,90.2%,and 90.3%.Conclusions The hybrid model integrating knowledge-driven and data-driven approaches demonstrated higher accuracy,and all its deci-sion outcomes were based on evidence-based practices,aligning more closely with the actual diagnostic reason-ing of clinicians.Further rigorous validation is needed to assess the feasibility of widely applying the hybrid model in the medical field.
6.A randomized controlled study on improving the repeatability of setup in postoperative radiotherapy for head and neck cancers through neck muscle group exercise
Jie LI ; Xiaowei YAO ; Bo LI ; Linlin XU ; Zhaodi XU ; Lihua ZHANG ; Fei BAI
Chinese Journal of Radiological Medicine and Protection 2025;45(10):979-985
Objective:To explore the effect of neck muscle group exercise on setup errors in postoperative radiotherapy for head and neck cancers.Methods:A total of 126 head and neck cancer patients scheduled for radiotherapy at the First Affiliated Hospital, Air Force Medical University from February 2021 to October 2022 were prospectively enrolled. Among these patients, four patients discontinued treatment due to personal reasons, and the remaining 126 patients were randomly divided into an experimental group and a control group, with 61 patients in each group. The experimental group received neck muscle group exercise, while the control group received routine treatment without intervention. Cone-beam CT (CBCT) scans were performed weekly to measure setup errors at the levels of the clivus and the 4 th and 7 th cervical vertebrae (C4 and C7, respectively). Three-dimensional displacement, systematic errors, and random errors were calculated for each level. The appropriate margins of planning target volumes (PTVs) were determined using the Van Herk formula. Results:Baseline characteristics were well-balanced between the two groups, with no statistically significant differences ( P > 0.05). Compared to the control group, the experimental group showed significantly smaller setup errors in the left-right ( x) and anterior-posterior ( z) directions at the clivus level, as well as in the z direction at the C4 and C7 vertebral levels ( t = 2.30, 5.29, 4.07, 2.40, P < 0.05). The required PTV margin in the z direction increased to 4.0 mm at C7 from 2.4 mm and 2.8 mm at the clivus in the experimental and control groups, respectively. Correlation analysis revealed a strong negative correlation between the x-direction at the clivus and C4 vertebral levels and the couch angle (RTN) among all patients ( r = -0.548, -0.452, P < 0.001). A moderate negative correlation was observed between the inferior-superior ( y) direction and the z-direction at the C4 and C7 vertebral levels ( r = -0.160, -0.222, P < 0.001). Conclusions:Neck muscle group exercise can reduce setup errors and PTV margins in the anterior-posterior direction in postoperative radiotherapy for head and neck cancer patients.
7.Diagnostic value and influencing factors of endoscopic ultrasonography for rectal neuroendocrine neoplasms
Xiaotong WANG ; Xiaowei WANG ; Wenjun ZHAO ; Zeyuan DIAO ; Wen SONG ; Yao LIU ; Zhenzhen SUI ; Ya LIU ; Hua LIU
Chinese Journal of Digestive Endoscopy 2025;42(6):474-479
Objective:To investigate the diagnostic value and influencing factors of endoscopic ultrasonography (EUS) for detecting rectal neuroendocrine neoplasms (R-NENs).Methods:A retrospective case-control study was performed on data of patients with suspected R-NENs by white light endoscopy who underwent endoscopic diagnosis and treatment or surgical operation and obtained pathological diagnosis at the Affiliated Hospital of Qingdao University from March 2016 to June 2023. Clinical data, EUS characteristics and pathological results were statistically analyzed, and the diagnostic accuracy of EUS for R-NENs were obtained by comparing the EUS results with the pathological results. Influencing factors affecting accuracy were analyzed by using the binary logistic regression model.Results:A total of 317 patients were included. The sensitivity, the specificity, the positive predictive value and the negative predictive value of EUS in diagnosing R-NENs were 98.03% (249/254), 34.92% (22/63), 85.86% (249/290) and 81.48% (22/27) respectively. The accuracy was 85.49% (271/317) and the Jorden index was 0.33. Tumor size ≤5 mm ( P=0.002, OR=2.892, 95% CI: 1.464-5.713), absence of surface vascular dilation ( P=0.019, OR=2.613, 95% CI: 1.170-5.837), normal tumor coloration ( P=0.001, OR=3.460, 95% CI: 1.645-7.279) and erythematous surface appearance ( P=0.048, OR=7.242, 95% CI: 1.015-51.680) were independent risk factors affecting the accuracy of R-NENs diagnosis by EUS. Depth assessment accuracy of EUS was 76.77% (195/254), with echo heterogeneity ( P<0.001, OR=4.008, 95% CI: 1.980-8.113) and surface depression ( P=0.035, OR=2.664, 95% CI: 1.073-6.615) emerging as significant factors affecting invasion depth evaluation. Conclusion:EUS demonstrates substantial clinical utility for R-NENs assessment, with diagnostic performance being significantly associated with tumor morphology and sonographic features. Macroscopic characteristics including tumor size, vascular patterns, and chromatic features influence diagnostic accuracy, while echo-textural heterogeneity and surface depression affect invasion depth precision. These findings underscore the clinical relevance of comprehensive EUS evaluation in R-NENs management.
8.Relationships of nutritional status and length of stay with phase angle in patients with severe craniocerebral injury
Xuejiao CHENG ; Guannan DONG ; Kai WANG ; Yucui ZHANG ; Haijing ZHAO ; Yao LI ; Xiaowei ZHANG
Journal of Clinical Medicine in Practice 2024;28(2):105-108
Objective To investigate the relationships of nutritional status and length of stay (LOS) with phase angle (PA) in patients with severe craniocerebral injury. Methods A total of 100 patients [Glasgow Coma Scale (GCS) score ≤8 points] admitted outside the department of neurology were selected as study objects. Body composition analysis and blood samples were used to determine the intracellular and extracellular water content, skeletal muscle, PA, prognostic nutritional index (PNI) and LOS. Patients were divided into low PA group (
9.Prospective clinical study of effect of neck muscle training on reducing setup error of radiotherapy for nasopharyngeal carcinoma
Lihua ZHANG ; Xiaowei YAO ; Bo LI ; Linlin XU ; Zhaodi XU ; Fei BAI
Chinese Journal of Radiation Oncology 2024;33(10):942-949
Objective:To evaluate the effect of neck muscle training on reducing the neck setup error during radiotherapy in patients with nasopharyngeal carcinoma.Methods:Clinical data of nasopharyngeal carcinoma patients who were treated with radiotherapy in the First Affiliated Hospital of Air Force Medical University from February 2021 to October 2022 were selected and analyzed. All subjects were randomly divided into the experimental group ( n=48) and control group ( n=51) at a ratio of 1:1 using a random number table method. In the experimental group, patients received neck muscle training prior to treatment, and those in the control group received conventional treatment without additional interventions. Cone beam computed tomography (CBCT) was performed weekly to measure and analyze the setup errors at the level of the slopes, 4th cervical vertebra (C4) and 7th cervical vertebra (C7). The four-dimensional displacement [left-right (LR), superior-inferior (SI), anterior-posterior (AP), rotation (Rtn)] systematic errors and random errors at each level were calculated, and the planning target volume (PTV) boundary was calculated. The differences at three different levels of slope, C4, C7 (LR, SI, AP axis) were compared between two groups. The correlation of setup errors in each direction was analyzed by Spearman correlation analysis. The changes of cervical curvature, cutaneous toxicity (common terminology criteria for adverse events V3.0) and pain assessment (numerical rating scale) were compared between two groups. Qualitative data between two groups were compared by χ2 test. Quantitative data between two groups were compared by t-test. Results:Baseline features were well balanced in both groups. The setup error in the experimental group was smaller than that in the control group. For the setup error in the AP direction, the setup errors at the levels of slope, C4 and C7 in the experimental group were (0.94±0.88) mm, (1.13±1.03) mm and (1.32±1.22) mm, significantly less than (1.66±1.23) mm, (1.63±1.35) mm and (1.89±1.48) mm in the control group (all P<0.001). In the SI direction, the setup errors at the levels of slope, C4 and C7 in the experimental group were (1.14±0.87) mm, (1.31±0.93) mm and (1.39±0.95) mm, compared with (1.22±0.95) mm, (1.40±1.11) mm and (1.52±1.08) mm in the control group ( P=0.278, 0.272, 0.100). The differences in the AP direction at the level of C4 and C7 in the experimental group were smaller than those in the control group ( P=0.014, 0.005). The required PTV boundary in the AP direction in the experimental group was increased from 1.77 mm at the slope level to 2.98 mm at the level of C7. In the control group, it was increased from 3.02 mm at the slope level to 4.78 mm at the level of C7. Correlation analysis showed that at the C4 and C7 levels, and the setup errors in the SI direction were moderately negatively correlated with those in the AR direction. There were no significant differences in cervical curvature, skin toxicity and pain assessment between two groups. Conclusion:Neck muscle training can reduce the setup error in the AP direction and PTV boundary of radiotherapy in patients with nasopharyngeal carcinoma, which is worthy of clinical promotion.
10.Constructing A Knowledge-driven and Data-driven Hybrid Decision Model for Etiological Diagnosis of Ventricular Tachycardia
Min WANG ; Zhao HU ; Xiaowei XU ; Si ZHENG ; Jiao LI ; Yan YAO
Medical Journal of Peking Union Medical College Hospital 2024;16(2):454-461
To construct a hybrid decision-making model that integrates knowledge-driven and data-driven approaches, and to apply it to the etiological diagnosis of ventricular tachycardia (VT). Clinical practice guidelines, expert consensus documents, and medical literature in the field of arrhythmia diseases from 2018 to 2023 were retrieved as knowledge sources. Retrospective electronic medical record data of VT patients from Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, from 2013 to 2023 were collected as the dataset. A knowledge-driven model was constructed using a knowledge-rule-based approach to establish clinical pathways. A three-class machine learning model for VT etiology diagnosis was developed based on real-world data, and the best-performing model was selected as the representative of the data-driven approach. The machine learning model was embedded into the decision nodes of the clinical pathway in the form of custom operators, forming the hybrid model. The precision, recall, and F1 score of the three models were evaluated. Three clinical practice guidelines were included as knowledge sources for the knowledge-driven model. A total of 1305 patient records were collected as the dataset, and five machine learning models were constructed, with the XGBoost model performing the best. The hybrid model adopted a knowledge-driven decision-making framework, embedding the XGBoost model into the decision nodes of a two-level classification. The precision, recall, and F1 scores of the three models were as follows: the knowledge-driven model achieved 80.4%, 79.1%, and 79.7%; the data-driven model achieved 88.4%, 88.5%, and 88.4%; and the hybrid model achieved 90.4%, 90.2%, and 90.3%. The hybrid model integrating knowledge-driven and data-driven approaches demonstrated higher accuracy, and all its decision outcomes were based on evidence-based practices, aligning more closely with the actual diagnostic reasoning of clinicians. Further rigorous validation is needed to assess the feasibility of widely applying the hybrid model in the medical field.


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