Objective:Constructing a risk prediction model to assess the impact of various factors on the need for auxiliary bone grafting with implant placement following alveolar ridge preservation (ARP) in posterior teeth.Methods:According to the sample size calculation formula, the sample size was calculated using the pmsampsize package of R 4.1.3 software, based on inclusion and exclusion criteria, a total of 110 posterior teeth in 98 patients who underwent ARP at the Department of Periodontology, School and Hospital of Stomatology, China Medical University, from January 2018 to May 2024 were conducted. Teeth were randomly divided into modeling group and validation group with 7∶3 ratio according to the random number table. The modeling group was divided into direct implantation group and auxiliary bone grafting group on the basis of whether auxiliary bone grafting was performed 6 months after ARP. Univariate and multivariate analyses were conducted to identify factors influencing auxiliary bone grafting with implant placement following ARP. Nomogram was constructed using R software. Receiver operator characteristic (ROC) curve and calibration curve were drawn to evaluate model differentiation and consistency. The decision curve analysis (DCA) was used to assess the clinical application value of the model.Results:Age ( OR=1.06, P=0.001), maximum attachment loss (AL) ( OR=1.75, P<0.001), reason of tooth extraction ( OR=12.73, P<0.001), smoking [<10 cigarettes/d ( OR=7.59, P<0.001);≥10 cigarettes/d ( OR=28.12, P<0.001)] and stage of periodontitis [stage Ⅱ ( OR=2.57, P=0.430); stage Ⅲ ( OR=21.00, P=0.007); stage Ⅳ ( OR=76.50, P<0.001)] influenced the necessity for auxiliary bone grafting with implant placement after ARP. After multivariate analysis of the above influencing factors, it was found that smoking [<10 cigarettes/d ( OR=7.02, P=0.009);≥10 cigarettes/d ( OR=10.27, P=0.026)] was an independent risk factor for the need of auxiliary bone grafting with implant placement after ARP. The area under the ROC curve for internal verification was 0.90 (95 %CI: 0.84-0.97), and the H-L goodness of fit test results were χ 2=4.79, P=0.780, indicating a good agreement. The area under the externally verified ROC curve was 0.97 (95 %CI: 0.92-1.00), suggesting that the fitting effect was slightly lower than that of the modeling group, and the predicted value of the model was slightly lower than the true value, which might underestimate the risk of additional surgery in patients. Results:of H-L goodness of fit test were χ 2=5.03, P=0.754. The DCA curve showed that when the probability of high-risk threshold was between 0.06 and 0.93, the clinical application value of the prediction model was higher. Conclusions:Age, smoking, reason of tooth extraction, stage of periodontitis, and maximum AL of the affected teeth were related to the necessity for auxiliary bone grafting with implant placement 6 months after ARP. Smoking was an independent risk factor for auxiliary bone grafting surgery. The constructed nomogram model had good discrimination and consistency.

BACKGROUND:Existing studies have preliminarily summarized the potential association between muscle activity of the affected lower limb and gait stability during walking in patients undergoing anterior cruciate ligament reconstruction.However,there are some issues such as incomplete observation of muscle categories,incomplete observation of walking action phases,and failure to consider synergistic effects among multiple muscle groups,which urgently require further improvement in this study.OBJECTIVE:To monitor muscle synergy information of the affected leg during walking in patients undergoing anterior cruciate ligament reconstruction and to analyze the association between muscle synergy information and gait stability.METHODS:Twenty-four male patients aged(21.66±4.09)years undergoing anterior cruciate ligament reconstruction,were recruited.Electromyographic and center of pressure data were collected from the affected lower limb during walking.A non-negative matrix decomposition algorithm was used to extract the number of muscle synergic elements from the affected leg,the time spent in peak activation of each muscle synergic element,and the muscle relative weight indexes.Correlation analysis was then performed with the center of pressure indexes.RESULTS AND CONCLUSION:Six types of muscle synergies were identified in the affected leg.The number of muscle synergic elements showed no significant correlation with the distance and speed of lateral displacement of the center of pressure.Regarding the peak activation time of muscle synergic elements,synergic element 3 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.413,P=0.045)and a significant negative correlation with the lateral displacement velocity of the center of pressure(r=-0.470,P=0.020).The activation time of the remaining types of muscle synergic elements was not significantly related with patient's gait stability indices.In terms of muscle relative weights,the rectus femoris muscle of synergistic element 1 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.592,P=0.005)and a significant negative correlation with the lateral displacement speed of the center of pressure(r=-0.529,P=0.014).Additionally,the relative weight of the biceps femoris muscle of synergistic element 3 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.428,P=0.037).To conclude,the central system in patients undergoing anterior cruciate ligament reconstruction regulates the synergistic muscle activity of the affected leg during walking to enhance gait stability in two primary ways:by prolonging the activation time of the muscle synergists during the dominant loading response period and enhancing the activation of the quadriceps muscle,in order to enhance the control of eccentric contractions of the knee joint during the landing of the affected leg and improve the stability of the knee joint;and by increasing the activation of the biceps femoris muscle during the loading response period,which increases the degree of knee flexion and enhances the lower limb's cushioning function during the landing of the affected leg.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:Constructing a risk prediction model to assess the impact of various factors on the need for auxiliary bone grafting with implant placement following alveolar ridge preservation (ARP) in posterior teeth.Methods:According to the sample size calculation formula, the sample size was calculated using the pmsampsize package of R 4.1.3 software, based on inclusion and exclusion criteria, a total of 110 posterior teeth in 98 patients who underwent ARP at the Department of Periodontology, School and Hospital of Stomatology, China Medical University, from January 2018 to May 2024 were conducted. Teeth were randomly divided into modeling group and validation group with 7∶3 ratio according to the random number table. The modeling group was divided into direct implantation group and auxiliary bone grafting group on the basis of whether auxiliary bone grafting was performed 6 months after ARP. Univariate and multivariate analyses were conducted to identify factors influencing auxiliary bone grafting with implant placement following ARP. Nomogram was constructed using R software. Receiver operator characteristic (ROC) curve and calibration curve were drawn to evaluate model differentiation and consistency. The decision curve analysis (DCA) was used to assess the clinical application value of the model.Results:Age ( OR=1.06, P=0.001), maximum attachment loss (AL) ( OR=1.75, P<0.001), reason of tooth extraction ( OR=12.73, P<0.001), smoking [<10 cigarettes/d ( OR=7.59, P<0.001);≥10 cigarettes/d ( OR=28.12, P<0.001)] and stage of periodontitis [stage Ⅱ ( OR=2.57, P=0.430); stage Ⅲ ( OR=21.00, P=0.007); stage Ⅳ ( OR=76.50, P<0.001)] influenced the necessity for auxiliary bone grafting with implant placement after ARP. After multivariate analysis of the above influencing factors, it was found that smoking [<10 cigarettes/d ( OR=7.02, P=0.009);≥10 cigarettes/d ( OR=10.27, P=0.026)] was an independent risk factor for the need of auxiliary bone grafting with implant placement after ARP. The area under the ROC curve for internal verification was 0.90 (95 %CI: 0.84-0.97), and the H-L goodness of fit test results were χ 2=4.79, P=0.780, indicating a good agreement. The area under the externally verified ROC curve was 0.97 (95 %CI: 0.92-1.00), suggesting that the fitting effect was slightly lower than that of the modeling group, and the predicted value of the model was slightly lower than the true value, which might underestimate the risk of additional surgery in patients. Results:of H-L goodness of fit test were χ 2=5.03, P=0.754. The DCA curve showed that when the probability of high-risk threshold was between 0.06 and 0.93, the clinical application value of the prediction model was higher. Conclusions:Age, smoking, reason of tooth extraction, stage of periodontitis, and maximum AL of the affected teeth were related to the necessity for auxiliary bone grafting with implant placement 6 months after ARP. Smoking was an independent risk factor for auxiliary bone grafting surgery. The constructed nomogram model had good discrimination and consistency.

This review aimed to provide a comprehensive analysis of the etiology, epidemiology, pathology, and conventional treatment of heterotopic ossification (HO), especially emerging potential therapies. HO is the process of ectopic bone formation at non-skeletal sites. HO can be subdivided into two major forms, acquired and hereditary, with acquired HO predominating. Hereditary HO is a rare and life-threatening genetic disorder, but both acquired and hereditary form can cause severe complications, such as peripheral nerve entrapment, pressure ulcers, and disability if joint ankylosis develops, which heavily contributes to a reduced quality of life. Modalities have been proposed to treat HO, but none have emerged as the gold standard. Surgical excision remains the only effective modality; however, the optimal timing is controversial and may cause HO recurrence. Recently, potential therapeutic strategies have emerged that focus on the signaling pathways involved in HO, and small molecule inhibitors have been shown to be promising. Moreover, additional specific targets, such as small interfering RNAs (siRNAs) and non-coding RNAs, could be used to effectively block HO or develop combinatorial therapies for HO.
Humans ; Ossification, Heterotopic/genetics*

BACKGROUND:Existing studies have preliminarily summarized the potential association between muscle activity of the affected lower limb and gait stability during walking in patients undergoing anterior cruciate ligament reconstruction.However,there are some issues such as incomplete observation of muscle categories,incomplete observation of walking action phases,and failure to consider synergistic effects among multiple muscle groups,which urgently require further improvement in this study.OBJECTIVE:To monitor muscle synergy information of the affected leg during walking in patients undergoing anterior cruciate ligament reconstruction and to analyze the association between muscle synergy information and gait stability.METHODS:Twenty-four male patients aged(21.66±4.09)years undergoing anterior cruciate ligament reconstruction,were recruited.Electromyographic and center of pressure data were collected from the affected lower limb during walking.A non-negative matrix decomposition algorithm was used to extract the number of muscle synergic elements from the affected leg,the time spent in peak activation of each muscle synergic element,and the muscle relative weight indexes.Correlation analysis was then performed with the center of pressure indexes.RESULTS AND CONCLUSION:Six types of muscle synergies were identified in the affected leg.The number of muscle synergic elements showed no significant correlation with the distance and speed of lateral displacement of the center of pressure.Regarding the peak activation time of muscle synergic elements,synergic element 3 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.413,P=0.045)and a significant negative correlation with the lateral displacement velocity of the center of pressure(r=-0.470,P=0.020).The activation time of the remaining types of muscle synergic elements was not significantly related with patient's gait stability indices.In terms of muscle relative weights,the rectus femoris muscle of synergistic element 1 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.592,P=0.005)and a significant negative correlation with the lateral displacement speed of the center of pressure(r=-0.529,P=0.014).Additionally,the relative weight of the biceps femoris muscle of synergistic element 3 in the dominant gait loading response period showed a significant negative correlation with the lateral displacement distance of the center of pressure(r=-0.428,P=0.037).To conclude,the central system in patients undergoing anterior cruciate ligament reconstruction regulates the synergistic muscle activity of the affected leg during walking to enhance gait stability in two primary ways:by prolonging the activation time of the muscle synergists during the dominant loading response period and enhancing the activation of the quadriceps muscle,in order to enhance the control of eccentric contractions of the knee joint during the landing of the affected leg and improve the stability of the knee joint;and by increasing the activation of the biceps femoris muscle during the loading response period,which increases the degree of knee flexion and enhances the lower limb's cushioning function during the landing of the affected leg.

Objective To collect data on imported malaria cases in Jiangsu Province from 2019 to 2023 after malaria elimination and to analyze the current epidemic situation and prevention and control measures of imported malaria, discussing future prevention and control strategies. Methods Malaria case information for Jiangsu Province from 2019 to 2023 was extracted and downloaded from the China Information System for Disease Control and Prevention (CISDCP) as well as the Jiangsu Provincial malaria epidemic database. Statistical analysis was conducted using Stata 12.0 and SPSS 16.0 software. Results From 2019 to 2023, a total of 534 cases of malaria were directly reported online in Jiangsu Province, with annual cases numbering 244, 90, 32, 36, and 132 respectively, all being laboratory-confirmed imported malaria cases from abroad. During the COVID-19 pandemic from 2020 to 2022, the number of imported malaria cases significantly decreased, with several months reporting zero cases. Among the 534 malaria cases, the vast majority were individuals who had traveled to countries in sub-Saharan Africa and Southeast Asia for work, business, international studies, or tourism. Over the five years, the median, minimum, and maximum days for patients from onset of illness to health-seeking were 1(0,12), 1(0,8), 0(0,6), 0(0,10), and 1(0,18) days, with a statistically significant difference in health-seeking time among patients (Fisher's exact test, P=0.03). Over the past three years of the COVID-19 pandemic, compared to outside centralized isolation stations, malaria cases within centralized isolation stations were diagnosed in a shorter time (Fisher exact test, P=0.007). A total of 24 severe malaria cases were reported, with no deaths, including 23 cases of P. falciparum and 1 case of P. ovale. Conclusions After the elimination of malaria, imported malaria cases in Jiangsu Province have sharply decreased due to the impact of the COVID-19 pandemic. Malaria cases in centralized isolation stations (CIS) for COVID-19 control of Jiangsu Province are more likely to be promptly diagnosed, and the timeliness from onset to health-seeking among malaria patients returning from high-malaria areas improved. As COVID-19 prevention and control policies adjusted, there has been a sharp increase in imported malaria cases in 2023. It's still necessary to strengthen measures for malaria prevention and control and maintain the capacity to prevent malaria re-transmission in Jiangsu Province.

Objective To investigate the role of G protein signal regulator 2(RGS2)in regulating the formation of angiotensin Ⅱ(Ang Ⅱ)-induced aortic dissection.Methods C57BL/6 mice were divided into 3 groups:control group(n=10),Ang Ⅱ group(n=20),Ang Ⅱ+sh-RGS2 group(n=20).The Ang Ⅱ group and Ang Ⅱ+sh-RGS2 group established an aortic dissection model.The incidence of aortic dissection was evaluated in vivo,and the phenotypic transformation of VSMC was evaluated in vitro and in vivo.Results Knockdown of RGS2 largely coun-teracted Ang Ⅱ-induced inhibition of αSMA,ACTA2 and MYH11,and suppressed Ang Ⅱ-induced SPP1 and Vim-entin in VSMC.The incidence of aortic dissection in Ang Ⅱ group and Ang Ⅱ+sh-RGS2 group were 45％(9/20)and 10％(2/20),respectively.Fewer elastic lamina thickening,aortic rupture,and aortic wall collagen fiber con-tent were observed in Ang Ⅱ+sh-RGS2 group compared to Ang Ⅱ group.In addition,compared with the Ang Ⅱgroup,the maximum diameter of the aorta in the Ang Ⅱ+sh-RGS2 group was significantly reduced(P＜0.05).In addition,the ACTA2 and MYH11 proteins in the aorta of the Ang Ⅱ+sh-RGS2 group were significantly higher than those in the Ang Ⅱ group(P＜0.01),while the RGS2,SPP1,and Vimentin proteins significantly decreased(P＜0.01).Conclusion Knockdown of RGS2 inhibits the transformation of Ang Ⅱ-induced VSMC from a contractile phenotype to a synthetic phenotype,thereby reducing the incidence of aortic dissection formation.

Objective To analyze the evidence of risk factors and health and rehabilitation intervention strategies for lower back inju-ries in adult golfers. Methods A thematic search method was employed,retrieving literature related to low back pain in adult golfers from PubMed,Web of Science,EBSCO,Scopus,the Cochrane Library,CNKI,VIP and Wanfang Data,with publica-tion dates ranging from inception to April 1st,2024.Authors,country,publication time,study subjects,risk fac-tors for low back pain and intervention strategies were extracted from the literature for systematic review. Results Nine English articles from the United States,Australia,South Korea,Portugal and South Africa were included,involving 237 golfers,three survey studies,one prospective cohort study,five randomized controlled trial(RCT)and quasi-RCT articles were enrolled.The study subjects included adult professional and amateur golfers.The primary risk factors were excessive repetition of non-standard golf swinging movements resulting in excessive lumbar torsion and overuse of the lumbar musculature;abnormal activation patterns of the rectus abdominis,erec-tor spinae and latissimus dorsi muscles;and functional limitation of the trunk and hip joints,causing excessive lumbar compensation during the swinging motion.Health and rehabilitation intervention strategies included the comprehensive application of electromyography and ultrasound biofeedback technologies with a focus on screen-ing the lumbar weak muscle groups and swinging actions,optimizing training load,and standardizing swinging technical movements;strengthening functional training of the trunk and hip joints;and enhancing strength train-ing of the abdominal and core muscle groups,as well as the deep muscle groups. Conclusion The risk factors for low back pain in adult golfers are primarily associated with excessive repetition of im-proper golf swing techniques,insufficient strength in the abdominal and core muscle groups,and functional limi-tations of the trunk and hip joints.Key intervention strategies include optimizing training load using electromyog-raphy and ultrasound biofeedback techniques,standardizing swing techniques,enhancing trunk and hip joint functional training,and strengthening waist,abdominal,core and deep muscle group strength training.The imple-mentation of these strategies helps to reduce the risk of low back pain in golfers,enhance athletic performance,and promote physical and mental health.

Objective To investigate changes of muscle activation in the lower limbs during landing impact as running fatigue pro-gresses. Methods From November to December,2022,eleven male runners were recruited from Wuhan Sports University.They performed a steady-state run at 75%of their maximum heart rate and continued until Borg rating score≥17 or 90%of their maximum heart rate.Muscle activity data were collected using a Delsys wireless surface electromy-ography system,continuously recording the EMG of the quadriceps(vastus medialis,rectus femoris,vastus later-alis),hamstrings(biceps femoris,semitendinosus),gluteus maximus,lateral head of the gastrocnemius and tibia-lis anterior.The pre-activation,post-activation and co-activation characteristics of these lower limb muscles were analyzed. Results With fatigue accumulation during running,significant differences were observed in the pre-activation level of the tibialis anterior among different fatigue points(F=2.955,P=0.048),with the 100%fatigue point showing significantly higher pre-activation levels than the start(P=0.010);as well as post-activation levels of quadriceps(F=6.609,P=0.001),with higher levels at the 100%point compared to the start(P=0.011),33%(P=0.009)and 67%(P=0.043)fatigue points;co-activation ratios of ankle joint during the pre-activation phase(F=3.287,P=0.034),with a significantly higher co-activation ratio at the 100%fatigue point compared to the start(P=0.023). Conclusion As running fatigue accumulates,the central nervous system adjusts the activation levels of various lower limb muscles to modify impact posture,reducing the risk of injury from accumulated lower limb loads.