Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Background The power industry is characterized by typical shift work systems, with 24-hour uninterrupted work demands, high intensity and high standard job characteristics, as well as emergent task pressure, which exposes employees to the long-term dual pressure of shift work and occupational stress and may lead to occupational burnout. It not only endangers the physical and mental health of employees, but also threaten the safe and stable operation of the power system. Objective To explore the impact of shift work and occupational stress, as well as their potential interaction, on occupational burnout among employees in power enterprises. Methods From November 2024 to April 2025, cluster sampling was used to select 1378 workers from two power companies in Fuzhou. A self-designed questionnaire, the Effort-Reward Imbalance model, and the Maslach Burnout Inventory were used to investigate the participants’ general information，shift work patterns, occupational stress, and occupational burnout. Statistical analysis was conducted using SPSS 19.0 software. Chi-square test was employed for intergroup comparison. Logistic regression was used to examine the associations between shift work, occupational stress, and job burnout. The multiplicative interaction and additive interaction between shift work and occupational stress on occupational burnout were evaluated. Results A total of 1378 questionnaires were distributed, and 1113 were valid questionnaires, with an effective rate of 80.77%. Among the participants, 37.92% were engaged in shift work, the positive rate of occupational stress was 29.83%, and the positive rate of occupational burnout was 55.80%. The logistic regression analysis showed that after adjusting for confounding factors, the risks of occupational burnout in the non-shift x occupational stress group and the shift x occupational stress group were 1.59 times (95%CI: 1.12, 2.27; P=0.01) and 4.07 times (95%CI: 2.56, 6.45; P<0.01) higher than that in the non-shift x non-occupational stress group. A multiplicative interaction (shift work and occupational stress b=0.75, P=0.01, OR=2.12, 95%CI: 1.18, 3.80) and an additive interaction (relative excess risk ratio=2.24, 95%CI: 0.54, 3.94; attributable fraction=0.55, 95%CI: 0.32, 0.78; interaction index=3.71, 95%CI: 1.47, 9.40) between shift work and occupational stress on job burnout were identified. Conclusion Shift work and occupational stress are risk factors for occupational burnout among employees in power enterprises, and there is a synergistic interaction between these two factors in terms of their impact on occupational burnout.

Blood lipid variability is closely associated with the incidence and recurrence risk of ischemic stroke, and controlling blood lipid stability is crucial for precise prevention and treatment of ischemic stroke. Therefore, while emphasizing the magnitude of lipid-lowering, attention should also be paid to ensuring that blood lipids are stable and reach the target. This article reviews the research progress on the correlation between different blood lipid variability and ischemic stroke.

Objective To investigate the knee disorders and risk factors in electromechanical soldiers of a warship,so as to provide a basis for prevention and treatment measures.Methods The knee disorders and treatment data of 200 electromechanical soldiers(study group)and 200 soldiers from other departments(control group)were colected by questionnaire survey and medical records.Results The incidence of knee diseases was 37.5%(75 cases)in the study group,which was significantly higher than that in the control group(16.0%,32 cases,P＜0.05).Traumatic and degenerative diseases were the main types of knee disorders.Age and body mass index were the influencing factors of knee disorders in electromechanical soldiers.Conclusion There is a high incidence of knee disorders in electromechanical soldiers,which is related to a variety of factors.Appropriate prevention and treatment measures are of great significance to reduce the incidence of knee disorders,promote rapid recovery,and reduce non-combat casualty.

Objective To explore the expression level of serum CD73 in Parkinson's disease(PD)patients and the correlation be-tween serum CD73 and the severity of motor dysfunction.Methods A total of 97 PD patients and 71 healthy controls were included.Bas-ic data of the subjects were collected,including age,gender,smoking history,and the condition of dose taking.Disease course,H&Y stage,and UPDRS-Ⅲ score of PD patients were also collected.PD patients were divided into mild PD group,and moderate and severe PD group according to H&Y stage.The fasting venous blood of the subjects was collected for serum CD73detection.Binary Logistic regres-sion analysis was used to analyze the correlation between PD and factors such as age,gender,and serum CD73.Receiver operating char-acteristic curve analysis was used to predict the diagnostic value of serum CD73.Pearson correlation was used to analyze the correlation between serum CD73 level,H&Y stage,and UPDRS-Ⅲ score in PD patients.Results The level of serum CD73 in PD patients was significantly lower than that in healthy controls.Binary Logistic regression showed that the decrease in the level of serum CD73 was an in-dependent risk factor for PD.The level of serum CD73 lower than 2.85U/L was more sensitive to the diagnosis of PD.In PD patients,the higher the H&Y stage,the lower the serum CD73 level;Pearson correlation analysis showed that the serum CD73 level was negatively cor-related with the H&Y stage and UPDRS-Ⅲ score.Conclusion The reduction of serum CD73 level can significantly increase the risk of PD,and the lower the level of serum CD73,the more serious the motor dysfunction of PD patients.

Objective:To investigate the CD163 expression characteristics in intracranial aneurysm (IA) tissue and blood of patients with IA and its feasibility as an early clinical screening indicator for IA.Methods:A total of 28 patients with IA admitted to Department of Neurosurgery, First Affiliated Hospital of Xinjiang Medical University from January 2021 to November 2023 were selected as IA group, and 28 healthy subjects from Health Management Center, First Affiliated Hospital of Xinjiang Medical University at the same time period were selected as control group. Eight saccular IA tissues and 12 superficial temporal artery tissues were collected from patients from IA group accepted IA clipping, and real-time fluorescent quantitative PCR (RT-qPCR) was used to detect the CD163 mRNA expression in these tissues. RT-qPCR was also used to detect the CD163 mRNA expression in the blood of the 2 groups. Seven patients with IA and 7 control subjects from the above 2 groups were randomly selected, respectively; and plasma CD163 protein content was detected by enzyme-linked immunosorbent assay (ELISA). Multivariate Logistic regression was used to analyze the influencing factors for IA. Receiver operating characteristic (ROC) curve was used to analyze the diagnostic values of blood CD163 mRNA expression and plasma CD163 protein content in IA. Results:CD163 mRNA expression in IA tissues was significantly higher than that in superficial temporal artery tissues (41.870±20.355 vs. 6.080±5.444, P<0.05). CD163 mRNA expression in the blood of IA patients was significantly higher than that in the controls (1.969[1.124, 2.318] vs. 1.124[0.933, 1.379], P<0.05). CD163 mRNA expression in the blood of ruptured IA group, unruptured IA group, and control group was gradually decreased, with significant differences ( P<0.05). CD163 mRNA expression in the blood of female IA patients was not statistically different compared with that in male IA patients ( P>0.05). ELISA showed that the CD163 protein content in plasma of the IA group was significantly higher than that in the control group [10.537±1.879] ng/L vs. [8.598±0.885] ng/L, P<0.05). Multivariate Logistic regression analysis showed that age and CD163 mRNA expression in the blood were independent influencing factors for IA occurrence ( OR=0.844, 95% CI: 0.750-0.951, P=0.005; OR=0.111, 95% CI: 0.024-0.506, P=0.004). ROC curve showed that the area under the curve (AUC) of CD163 mRNA expression in blood in diagnosing IA was 0.759 (95% CI: 0.618-0.890, P=0.002), and that of CD163 protein content in plasma in diagnosing IA was 0.864 (95% CI: 0.610-1.000, P=0.035). Conclusion:CD163 mRNA expressions in blood and IA tissues and CD163 protein content in plasma are high in patients with IA; CD163 mRNA expression in blood is an independent risk factor for IA; CD163 protein in plasma can be used as a molecular marker for screening IA.

Objective To analyze the risk factors of lower limb deep vein thrombosis(DVT)after the closed Pilon fracture surgery,and to build a nomograph prediction model.Methods A total of 182 patients with closed Pilon fracture who underwent surgical treatment in our hospital from June 2019 to June 2022 were retrospectively analyzed,according to the occurrence of postoperative DVT,the patients were divided into two groups:43 cases in DVT group and 139 cases in non-DVT group.Univariate and multivariate Logistic regression analysis was applied to screen the risk factors of lower limb DVT after closed Pilon fracture surgery;R software was applied to build a nomograph model for predicting lower limb DVT after closed Pilon fracture surgery,and receiver operating characteristic(ROC)and calibration curve were applied to verify the nomograph model.Results Logistic regression analysis showed that the history of diabetes mellitus,risk assessment of thrombosis as medium and high risk,and postoperative infection were independent risk factors for lower limb DVT after closed Pilon fracture surgery(P＜0.05).The area under the ROC curve was 0.716(95％CI:0.629-0.804).The slope of calibration curve was close to 1,and H-L goodness of fit test x2=2.556,P=0.635.Conclusion The history of diabetes,the result of thrombosis risk assessment as"medium-high risk",and the postoperative infection occurred at the surgical site are independent risk factors for lower limb DVT after closed Pilon fracture surgery.The nomogram prediction model constructed by integrating the above three independent risk factors can effectively predict lower limb DVT after closed Pilon fracture surgery,with high differentiation and consistency.

Objective:To investigate the correlation between blood lipid variability and recurrence of cerebrovascular events in patients with ischemic stroke.Methods:Patients with ischemic stroke admitted to Qingdao Municipal Hospital from June 1, 2020 to December 31, 2022 were prospectively enrolled and followed up for 30 months. The standard deviation (SD) and coefficient of variation (CV) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were calculated during follow-up, and the attainment rate of blood lipid before and after follow-up were compared. The recurrence of cerebrovascular events was monitored, including ischemic stroke, cerebral hemorrhage, and transient ischemic attack. Cox proportional hazards regression model was used to analyze the correlation between the variability of TC, LDL-C, HDL-C, and TG and the recurrence of cerebrovascular events.Results:A total of 142 patients with ischemic stroke were enrolled, including 81 males (57.0%), aged 63.4±5.8 years. During follow-up, 34 patients (23.9%) experienced recurrent cerebrovascular events. At the end of the follow-up, TC, TG, and LDL-C levels decreased significantly compared to before the follow-up (all P<0.05), and the attainment rate of blood lipid increased significantly compared to before the follow-up (51.4% vs. 12.7%; P=0.001). CV of LDL-C in the recurrent group was significantly higher than that in the non-recurrent group ( P=0.005). Cox proportional hazards regression analysis showed that after adjusting for age, gender, body mass index, baseline blood lipids, and baseline blood pressure, LDL-C variability (SD: hazard risk [ HR] 4.051, 95% confidence interval [ CI] 2.671-5.687, P=0.034; CV: HR 3.785, 95% CI 2.356-5.013, P=0.041) and TC variability (SD: HR 3.821, 95% CI 2.450-5.224, P=0.039; CV: HR 3.715, 95% CI 2.401-5.036, P=0.042) during follow-up were independently associated with the recurrence of cerebral vascular events. Conclusions:LDL-C and TC variability are the independent influencing factors for the recurrence of cerebrovascular events in patients with ischemic stroke. Monitoring the variability of LDL-C and TC in patients with ischemic stroke and intervening in a timely manner may reduce the risk of recurrence of cerebrovascular events.

Purpose/Significance To investigate and analyze the current situation of health industry network security in Shandong province,to pinpoint the network security weaknesses,and to improve the decision-making capacity of risk management.Method/Process Based on the data collected by questionnaires,the gap analysis of network security is conducted from the two dimensions of the level and regional distribution of medical institutions.Result/Conclusion In view of the problems faced by the informatization construction of primary medical and health institutions at the management level and the technical protection level,the specific solutions to the network security governance of health industry are put forward.

Objective:To design and develop a digital auricle reconstruction simulation training system and to evaluate the application effect of the system.Methods:Based on 3D reconstruction and 3D printing technology, a new auricle reconstruction simulation training system was designed and developed from September 2019 to December 2021. Thirty-six basic volunteers (including 15 males and 21 females, aged from 22 to 27 years, with mean 23.1 years) without auricle reconstruction (surgical clinical standardized training students) were selected and divided into two groups (experimental group and control group) for clinical teaching experiment, and the teaching effect of simulation system was preliminarily evaluated.Results:Theoretical test scores before and after the intervention in the experimental group were 8.00 (4.75, 11.25) compared to 16.50 (13.00, 19.25) , P<0.001; design test scores were 2.00 (0, 4.25) compared to 7.00 (6.00, 10.00), P<0.001. In the control group, theoretical test scores before and after the intervention were 5.50 (3.75, 12.25) compared to 11.00 (9.50, 16.25), P<0.001; design test scores were 1.00 (1.00, 2.25) compared to 5.00 (3.75, 6.00), P<0.001. The improvement in the experimental group compared to the control group was significantly more pronounced with a statistically significant difference ( P<0.001). Conclusions:This system can assist teachers in teaching more systematically in auricle reconstruction training with autologous costal cartilage, and the teaching effect is better.