1.The status and influencing factors of type 2 diabetes mellitus patients' fear of complications
Yuqin LIU ; Guixia HUO ; Shaobo LI ; Yumin LI ; Yunpeng LU ; Zichen ZHANG ; Qiuhui DU ; Mengdi NI ; Farong LIU ; Honghong JIA
Chinese Journal of Nursing 2025;60(17):2118-2124
Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38%.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25%.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.
2.Chinese expert consensus on community-based three-level comprehensive prevention and treatment of Alzheimer's disease(2025 edition)
Ying WANG ; Liang SUN ; Gang WANG ; Chunbo LI ; Houguang ZHOU ; Yifeng DU ; Yunpeng CAO ; Kai WANG ; Jiewen ZHANG ; Yao YAO ; Shangfeng TANG ; Yurong JING ; Qihua XU ; Xizhe PENG ; Yu HU ; Haimei QI
Chinese Journal of Geriatrics 2025;44(3):227-237
Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.
3.Effect of triglyceride-glucose index combined with C-reactive protein on new-onset nonalcoholic fatty liver disease
Yurui DU ; Fei TIAN ; Hong JI ; Yaochen WEI ; Yunpeng LI ; Xinyu GE ; Minghua LI ; Xiangming MA
Journal of Clinical Hepatology 2025;41(8):1541-1547
Objective To investigate whether there is a synergistic pathogenic effect between triglyceride glucose index(TyG)and C-reactive protein(CRP)on new-onset nonalcoholic fatty liver disease(NAFLD)by observing the influence of combinations of TyG and CRP at different levels,and to provide a basis for identifying the high-risk population of NAFLD.Methods A total of 31 935 employees in Kailuan Group who participated in physical examination in 2006-2007 were enrolled as the observation cohort,and they had no history of drinking,fatty liver disease,cardiovascular disease,or malignant tumor and did not take antidiabetic or lipid-lowering drugs.According to the median of TyG and CRP at baseline,the subjects were divided into TyG<8.42 and CRP<0.60 mg/L group,TyG<8.42 and CRP≥0.60 mg/L group,TyG≥8.42 and CRP<0.60 mg/L group,and TyG≥8.42 and CRP≥0.60 mg/L group.A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups,and an analysis of variance was used for comparison of continuous data with skewed distribution between groups after logarithmic transformation;the chi-square test was used for comparison of categorical data between groups.The Kaplan-Meier method was used to calculate the cumulative incidence rate of NAFLD in different combinations of CRP and TyG levels,and the multivariate Cox regression model was used to investigate the influence of different combinations of TyG and CRP on the incidence rate of NAFLD.Results After a mean follow-up time of 7.59 years,a total of 16 592 employees developed NAFLD.The cumulative incidence rate of NAFLD in the TyG<8.42 and CRP<0.60 mg/L group,TyG<8.42 and CRP≥0.60 mg/L group,TyG≥8.42 and CRP<0.60 mg/L group,and TyG≥8.42 and CRP≥0.60 mg/L group were 59.5%,67.1%,73.8%,and 80.8%,respectively(P<0.001).After adjustment for confounding factors,compared with the TyG<8.42 and CRP<0.60 mg/L group,the TyG≥8.42 and CRP≥0.60 mg/L group had the highest risk of developing NAFLD(hazard ratio[HR]=1.54,95%confidence interval[CI]:1.47-1.61),followed by the TyG≥8.42 and CRP<0.60 mg/L group(HR=1.43,95%CI:1.36-1.49)and the TyG<8.42 and CRP≥0.60 mg/L group(HR=1.17,95%CI:1.12-1.22).Conclusion With elevated TyG and CRP levels,the cumulative incidence of NAFLD increased,and rising levels of these markers significantly augmented the risk of NAFLD development.
4.A preliminary exploration of an intelligent system for personalized tooth morphology reconstruction based on deep learning
Meiqi YU ; Du CHEN ; Zhenyu WANG ; Fei LIU ; Yanyan ZHANG ; Yunpeng LI ; Jiefei SHEN
Chinese Journal of Stomatology 2025;60(6):618-625
Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.
5.Research progress on meat adulteration detection based on qPCR
Tingyu XU ; Jiate DU ; Xiaoxin HU ; Kaiyue QIN ; Yunpeng FENG ; Zhenjun JIA ; Tao ZHANG
Chinese Journal of Forensic Medicine 2025;40(4):468-473
Meat food is an important part of people's dietary supplements,but in recent years,meat adulteration cases are hidden and frequent,which seriously affects people's health and destroys the fairness of the market.Based on this,this paper analyses the development trend of meat adulteration and the current meat adulteration detection technology is summarized,combed in detail the use of the most widely used real-time fluorescence quantitative PCR technology application of the status quo and challenges to help real-time fluorescence quantitative PCR technology testing in meat adulteration evidence testing to the direction of more high detection efficiency and higher accuracy development.
6.Research progress on meat adulteration detection based on qPCR
Tingyu XU ; Jiate DU ; Xiaoxin HU ; Kaiyue QIN ; Yunpeng FENG ; Zhenjun JIA ; Tao ZHANG
Chinese Journal of Forensic Medicine 2025;40(4):468-473
Meat food is an important part of people's dietary supplements,but in recent years,meat adulteration cases are hidden and frequent,which seriously affects people's health and destroys the fairness of the market.Based on this,this paper analyses the development trend of meat adulteration and the current meat adulteration detection technology is summarized,combed in detail the use of the most widely used real-time fluorescence quantitative PCR technology application of the status quo and challenges to help real-time fluorescence quantitative PCR technology testing in meat adulteration evidence testing to the direction of more high detection efficiency and higher accuracy development.
7.A preliminary exploration of an intelligent system for personalized tooth morphology reconstruction based on deep learning
Meiqi YU ; Du CHEN ; Zhenyu WANG ; Fei LIU ; Yanyan ZHANG ; Yunpeng LI ; Jiefei SHEN
Chinese Journal of Stomatology 2025;60(6):618-625
Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.
8.The status and influencing factors of type 2 diabetes mellitus patients' fear of complications
Yuqin LIU ; Guixia HUO ; Shaobo LI ; Yumin LI ; Yunpeng LU ; Zichen ZHANG ; Qiuhui DU ; Mengdi NI ; Farong LIU ; Honghong JIA
Chinese Journal of Nursing 2025;60(17):2118-2124
Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38%.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25%.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.
9.Effect of triglyceride-glucose index combined with C-reactive protein on new-onset nonalcoholic fatty liver disease
Yurui DU ; Fei TIAN ; Hong JI ; Yaochen WEI ; Yunpeng LI ; Xinyu GE ; Minghua LI ; Xiangming MA
Journal of Clinical Hepatology 2025;41(8):1541-1547
Objective To investigate whether there is a synergistic pathogenic effect between triglyceride glucose index(TyG)and C-reactive protein(CRP)on new-onset nonalcoholic fatty liver disease(NAFLD)by observing the influence of combinations of TyG and CRP at different levels,and to provide a basis for identifying the high-risk population of NAFLD.Methods A total of 31 935 employees in Kailuan Group who participated in physical examination in 2006-2007 were enrolled as the observation cohort,and they had no history of drinking,fatty liver disease,cardiovascular disease,or malignant tumor and did not take antidiabetic or lipid-lowering drugs.According to the median of TyG and CRP at baseline,the subjects were divided into TyG<8.42 and CRP<0.60 mg/L group,TyG<8.42 and CRP≥0.60 mg/L group,TyG≥8.42 and CRP<0.60 mg/L group,and TyG≥8.42 and CRP≥0.60 mg/L group.A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups,and an analysis of variance was used for comparison of continuous data with skewed distribution between groups after logarithmic transformation;the chi-square test was used for comparison of categorical data between groups.The Kaplan-Meier method was used to calculate the cumulative incidence rate of NAFLD in different combinations of CRP and TyG levels,and the multivariate Cox regression model was used to investigate the influence of different combinations of TyG and CRP on the incidence rate of NAFLD.Results After a mean follow-up time of 7.59 years,a total of 16 592 employees developed NAFLD.The cumulative incidence rate of NAFLD in the TyG<8.42 and CRP<0.60 mg/L group,TyG<8.42 and CRP≥0.60 mg/L group,TyG≥8.42 and CRP<0.60 mg/L group,and TyG≥8.42 and CRP≥0.60 mg/L group were 59.5%,67.1%,73.8%,and 80.8%,respectively(P<0.001).After adjustment for confounding factors,compared with the TyG<8.42 and CRP<0.60 mg/L group,the TyG≥8.42 and CRP≥0.60 mg/L group had the highest risk of developing NAFLD(hazard ratio[HR]=1.54,95%confidence interval[CI]:1.47-1.61),followed by the TyG≥8.42 and CRP<0.60 mg/L group(HR=1.43,95%CI:1.36-1.49)and the TyG<8.42 and CRP≥0.60 mg/L group(HR=1.17,95%CI:1.12-1.22).Conclusion With elevated TyG and CRP levels,the cumulative incidence of NAFLD increased,and rising levels of these markers significantly augmented the risk of NAFLD development.
10.Chinese expert consensus on community-based three-level comprehensive prevention and treatment of Alzheimer's disease(2025 edition)
Ying WANG ; Liang SUN ; Gang WANG ; Chunbo LI ; Houguang ZHOU ; Yifeng DU ; Yunpeng CAO ; Kai WANG ; Jiewen ZHANG ; Yao YAO ; Shangfeng TANG ; Yurong JING ; Qihua XU ; Xizhe PENG ; Yu HU ; Haimei QI
Chinese Journal of Geriatrics 2025;44(3):227-237
Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.

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