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

Objective To observe the improvement effect and mechanism of emodin on lipopolysaccharide(LPS)-induced podocyte injury.Methods Human glomerular podocytes were used as the study object,and they were randomly divided into the blank control group,the LPS group,the emodin low-,medium-,and high-dose groups,and the emodin+lysophosphatidic acid[LP A,RhoA/RhoRho-associatedcoiled-coil kinase(ROCK)activator]group.Cell counting kit 8(CCK8)and 5-ethynyl-2'-deoxyuridine(EdU)staining were applied to detect the proliferation of glomerular podocytes,Transwell assay was used to test the migration of glomerular podocytes,flow cytometry was used to detect apoptosis of glomerular podocytes,and enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of inflammatory factors tumor necrosis factor α(TNF-α),interleukin(IL)-1β,and IL-18 in the supernatant of glomerular podocytes,and the protein expression levels of RhoA and ROCK in glomerular podocytes were determined by Western Blot.Results The optical density(OD)450nm,EdU positive cell rate and migration number of glomerular podocytes in the LPS group were lower than those in the blank control group,and the apoptosis rate,the levels of TNF-α,IL-1β and IL-18 in the supernatant,as well as the protein expression levels of RhoA and ROCK in the cells were higher than those in the blank control group,the differences being statistically significant(P＜0.05);the OD450nm,EdU positive cell rate and migration number of glomerular podocytes in the emodin low-,medium-,and high-dose groups were higher than those in the LPS group,while the apoptosis rate,levels of TNF-α,IL-1 β and IL-18 in supernatant,as well as RhoA and ROCK protein expression levels in cells were reduced compared with those in the LPS group,the differences being statistically significant(P＜0.05);the OD450nm and EdU positive cell rate and migration number of glomerular podocytes in LPA group were lower than those of emodin high-dose group,while the apoptosis rate,levels of TNF-α,IL-1 βand IL-18 in supernatant,as well as RhoA and ROCK protein expression levels in cells were higher than those of emodin high-dose group,the differences being all statistically significant(P＜0.05).Conclusion Emodin can improve LPS-induced podocyte injury,and its mechanism of action may be related to the inhibition of RhoA/ROCK signaling pathway.

Objective To investigate the correlation between glycemic variability metrics and the risk of diabetic foot(DF)in patients with type 2 diabetes mellitus(T2DM)utilizing flash glucose monitoring(FGM)tech-nology.Methods A retrospective analysis was conducted on 233 hospitalized patients with T2DM,with or without DF,who were treated in the Department of Endocrinology at Lianyungang First People's Hospital from January 2021 to May 2022 and monitored using FGM.Patients were categorized into a non-DF group(n=147)and a DF group(n=86)based on the presence of DF.The study compared general clinical characteristics,biochemical parameters,and glycemic variability metrics between the two groups and performed subgroup analyses.Binary logistic regression was employed to identify factors associated with the risk of DF,while receiver operating characteristic(ROC)curves were utilized to assess the predictive value of glycemic variability metrics for DF.Results Compared with the non-DF group,patients in the DF group exhibited significantly longer disease duration,higher body mass index(BMI),glycated hemoglobin(HbA1c),urinary albumin-to-creatinine ratio(UACR),alanine aminotransferase(ALT),serum uric acid(SUA),mean amplitude of glycemic excursions(MAGE),coefficient of variation(CV),mean of daily differences(MODD),and mean blood glucose(MBG),but lower fasting C-peptide(FCP),fasting insulin(FINS),high-density lipoprotein cholesterol(HDL-C),and time in range(TIR),with statistically signifi-cant differences(P<0.05).Subgroup analysis revealed that TIR was associated with the incidence of DF and diabetic retinopathy(DR).Binary logistic regression analysis identified HbA1c,MAGE,MODD,and MBG as risk factors for DF,while TIR was a protective factor(P<0.05).ROC curve analysis demonstrated that the area under the curve(AUC)for predicting DF using HbA1c,TIR,MAGE,MODD,MBG,and their combination were 0.646,0.850,0.868,0.764,0.619,and 0.967,respectively,indicating superior performance of the combined prediction model.Conclusions HbA1c,TIR,MAGE,MODD,and MBG are critical factors associated with the development of DF in patients with T2DM.Targeted early interventions aimed at optimizing these glycemic variability indicators may effectively reduce the incidence of DF.

Objective Prepubertal mice are administered subcutaneously with letrozole sustained-release pellets behind the neck and treated with a high-fat diet to establish a mouse model of polycystic ovary syndrome(PCOS).The liver transcriptomes of the model mice are compared with those of the placebo control mice to investigate the underlying mechanisms of liver involvement in the pathogenesis of PCOS.Methods A customized 2 mg dose of letrozole sustained-release pellets with a 40-day release period was used.The control placebo and letrozole pellets were implanted subcutaneously in the dorsal cervical region of 3-4-week-old C57BL/6J mice(8 mice per group)to establish the control group and letrozole-induced PCOS model group.Both groups were treated with a high-fat diet starting the day after administration.The modeling period lasted for 5 weeks,during which body weight and 24-hour food intake were monitored in each group every week.When samples were collected,liver weight was recorded.Pathological changes in ovarian and hepatic tissues were examined by hematoxylin-eosin(HE)staining,while hepatic lipid deposition was observed by Oil Red O staining.The extent of macrophage infiltration in the liver was evaluated via F4/80 immunohistochemical staining,and hepatic fibrosis levels were observed by Masson's trichrome staining.Transcriptomic sequencing was performed to analyze differentially expressed genes(DEGs)in liver tissues between the control and model groups,followed by enrichment analysis of significant DEGs.Quantitative real-time fluorescent quantitative PCR(qPCR)was subsequently used to validate the expression of significant DEGs in liver tissues of both groups.Results Compared with the control group,the model group which received subcutaneous letrozole sustained-release pellets combined with a high-fat diet exhibited significantly increased body weight(P＜0.001),prominent polycystic ovarian morphology,and significantly decreased liver-to-body weight ratio(P＜0.05).However,no significant changes were observed in absolute liver weight(P＞0.05),hepatic histomorphology,or lipid deposition.Transcriptome sequencing identified 119 upregulated and 217 downregulated DEGs in the liver tissues of letrozole-treated mice,which were predominantly enriched in pathways related to cholesterol and steroid biosynthesis,steroid hormone metabolism,and inflammatory responses.qPCR validation demonstrated that mRNA expression of HSD3B2 and HMGCR was significantly upregulated in liver(P＜0.01),while mRNA expression of IL4,CCL2 and COL1A1 was downregulated(P＜0.05)in the model group compared with the control group.However,Masson's trichrome staining and F4/80 immunohistochemical analysis showed no significant changes in hepatic fibrosis or macrophage infiltration.Conclusion Subcutaneous administration of letrozole sustained-release pellets combined with a high-fat diet successfully establishes a mouse model of PCOS.The model mice exhibited significant changes in hepatic gene expression.Liver may contribute to PCOS pathogenesis through regulating cholesterol and steroid metabolism.

Objective Prepubertal mice are administered subcutaneously with letrozole sustained-release pellets behind the neck and treated with a high-fat diet to establish a mouse model of polycystic ovary syndrome(PCOS).The liver transcriptomes of the model mice are compared with those of the placebo control mice to investigate the underlying mechanisms of liver involvement in the pathogenesis of PCOS.Methods A customized 2 mg dose of letrozole sustained-release pellets with a 40-day release period was used.The control placebo and letrozole pellets were implanted subcutaneously in the dorsal cervical region of 3-4-week-old C57BL/6J mice(8 mice per group)to establish the control group and letrozole-induced PCOS model group.Both groups were treated with a high-fat diet starting the day after administration.The modeling period lasted for 5 weeks,during which body weight and 24-hour food intake were monitored in each group every week.When samples were collected,liver weight was recorded.Pathological changes in ovarian and hepatic tissues were examined by hematoxylin-eosin(HE)staining,while hepatic lipid deposition was observed by Oil Red O staining.The extent of macrophage infiltration in the liver was evaluated via F4/80 immunohistochemical staining,and hepatic fibrosis levels were observed by Masson's trichrome staining.Transcriptomic sequencing was performed to analyze differentially expressed genes(DEGs)in liver tissues between the control and model groups,followed by enrichment analysis of significant DEGs.Quantitative real-time fluorescent quantitative PCR(qPCR)was subsequently used to validate the expression of significant DEGs in liver tissues of both groups.Results Compared with the control group,the model group which received subcutaneous letrozole sustained-release pellets combined with a high-fat diet exhibited significantly increased body weight(P＜0.001),prominent polycystic ovarian morphology,and significantly decreased liver-to-body weight ratio(P＜0.05).However,no significant changes were observed in absolute liver weight(P＞0.05),hepatic histomorphology,or lipid deposition.Transcriptome sequencing identified 119 upregulated and 217 downregulated DEGs in the liver tissues of letrozole-treated mice,which were predominantly enriched in pathways related to cholesterol and steroid biosynthesis,steroid hormone metabolism,and inflammatory responses.qPCR validation demonstrated that mRNA expression of HSD3B2 and HMGCR was significantly upregulated in liver(P＜0.01),while mRNA expression of IL4,CCL2 and COL1A1 was downregulated(P＜0.05)in the model group compared with the control group.However,Masson's trichrome staining and F4/80 immunohistochemical analysis showed no significant changes in hepatic fibrosis or macrophage infiltration.Conclusion Subcutaneous administration of letrozole sustained-release pellets combined with a high-fat diet successfully establishes a mouse model of PCOS.The model mice exhibited significant changes in hepatic gene expression.Liver may contribute to PCOS pathogenesis through regulating cholesterol and steroid metabolism.

Objective To investigate the correlation between glycemic variability metrics and the risk of diabetic foot(DF)in patients with type 2 diabetes mellitus(T2DM)utilizing flash glucose monitoring(FGM)tech-nology.Methods A retrospective analysis was conducted on 233 hospitalized patients with T2DM,with or without DF,who were treated in the Department of Endocrinology at Lianyungang First People's Hospital from January 2021 to May 2022 and monitored using FGM.Patients were categorized into a non-DF group(n=147)and a DF group(n=86)based on the presence of DF.The study compared general clinical characteristics,biochemical parameters,and glycemic variability metrics between the two groups and performed subgroup analyses.Binary logistic regression was employed to identify factors associated with the risk of DF,while receiver operating characteristic(ROC)curves were utilized to assess the predictive value of glycemic variability metrics for DF.Results Compared with the non-DF group,patients in the DF group exhibited significantly longer disease duration,higher body mass index(BMI),glycated hemoglobin(HbA1c),urinary albumin-to-creatinine ratio(UACR),alanine aminotransferase(ALT),serum uric acid(SUA),mean amplitude of glycemic excursions(MAGE),coefficient of variation(CV),mean of daily differences(MODD),and mean blood glucose(MBG),but lower fasting C-peptide(FCP),fasting insulin(FINS),high-density lipoprotein cholesterol(HDL-C),and time in range(TIR),with statistically signifi-cant differences(P<0.05).Subgroup analysis revealed that TIR was associated with the incidence of DF and diabetic retinopathy(DR).Binary logistic regression analysis identified HbA1c,MAGE,MODD,and MBG as risk factors for DF,while TIR was a protective factor(P<0.05).ROC curve analysis demonstrated that the area under the curve(AUC)for predicting DF using HbA1c,TIR,MAGE,MODD,MBG,and their combination were 0.646,0.850,0.868,0.764,0.619,and 0.967,respectively,indicating superior performance of the combined prediction model.Conclusions HbA1c,TIR,MAGE,MODD,and MBG are critical factors associated with the development of DF in patients with T2DM.Targeted early interventions aimed at optimizing these glycemic variability indicators may effectively reduce the incidence of DF.

Objective To explore the effects of cognitive behavioral therapy based on 5G internet of things(IOT)on rehabilitation and kinesiophobia in elderly patients after percutaneous coronary intervention(PCI)for coronary artery disease.Methods Sixty elderly postoperative PCI patients with coronary artery disease admitted from June to December 2023 were selected as study subjects and randomly divided into the control group and the 5G group,with 30 cases in each group.The control groupreceived conventional nursing intervention,while the 5G group receivedcognitive behavioral therapy based on 5G IOT in addition to traditional nursing.Left ventricular ejection fraction(LVEF),6-minute walking distance(6MWD),the Tampa Scale for kinesiophobia Heart(TSK-SV Heart)scores,the Seattle Angina Questionnaire(SAQ)scores,and rehabilitation compliance were compared between the two groups.Results 12 weeks afterintervention,LVEF and 6MWD in the 5G groupwere significantly improved as compared with those in the control group(P＜0.05).The TSK-SV Heart scores in the 5G group werelower than those in the control group(P＜0.05),but the SAQ scores were higher(P＜0.05).And the rate of better rehabilitation compliance in the 5G group was significantly higher than thatin the control group(P＜0.05).Conclusions Cognitive behavioral therapy based on 5G IOT helps to improve the rehabilitation effect in elderly patients with coronary artery disease after PCI,reduce kinesiophobia,improve quality of life,and enhance reha-bilitationcompliance,thus promoting the rehabilitation process of the patients.

Objective To explore the effects of cognitive behavioral therapy based on 5G internet of things(IOT)on rehabilitation and kinesiophobia in elderly patients after percutaneous coronary intervention(PCI)for coronary artery disease.Methods Sixty elderly postoperative PCI patients with coronary artery disease admitted from June to December 2023 were selected as study subjects and randomly divided into the control group and the 5G group,with 30 cases in each group.The control groupreceived conventional nursing intervention,while the 5G group receivedcognitive behavioral therapy based on 5G IOT in addition to traditional nursing.Left ventricular ejection fraction(LVEF),6-minute walking distance(6MWD),the Tampa Scale for kinesiophobia Heart(TSK-SV Heart)scores,the Seattle Angina Questionnaire(SAQ)scores,and rehabilitation compliance were compared between the two groups.Results 12 weeks afterintervention,LVEF and 6MWD in the 5G groupwere significantly improved as compared with those in the control group(P＜0.05).The TSK-SV Heart scores in the 5G group werelower than those in the control group(P＜0.05),but the SAQ scores were higher(P＜0.05).And the rate of better rehabilitation compliance in the 5G group was significantly higher than thatin the control group(P＜0.05).Conclusions Cognitive behavioral therapy based on 5G IOT helps to improve the rehabilitation effect in elderly patients with coronary artery disease after PCI,reduce kinesiophobia,improve quality of life,and enhance reha-bilitationcompliance,thus promoting the rehabilitation process of the patients.

Objective:To investigate risk factors of arrhythmia in elderly patients with early lung cancer after thoracoscopic pulmonary resection to construct a prediction model.Methods:Two hundreds and twenty elderly patients with early lung cancer after thoracoscopic pulmonary resection were retrospectively chosen in the period from January 2017 to January 2023 in Guang'an People's Hospital of Sichuan Province. The occurrence of arrhythmia was calculated, and the clinical data of patients with arrhythmia and those without arrhythmia were compared. Logistic regression was employeed to analyze the independent influencing factors of arrhythmia in elderly patients with early lung cancer after thoracoscopic pneumonectomy. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of regression model on arrhythmia after thoracoscopic pneumonectomy in elderly patients with early lung cancer.Results:Forty-one of 220 (18.64%) elderly patients with early lung cancer treated by thoracoscopic pneumonectomy had arrhythmia. There were statistically significant differences between patients with arrhythmia and patients without arrhythmia in age ( χ2=17.76, P<0.001), combined with essential hypertension ( χ2=21.06, P<0.001), forced expiratory volume in one second as a percentage of predicted value (FEV 1%) ( χ2=17.88, P<0.001), left atrium anterior-and-posterior diameter ( χ2=37.82, P<0.001), operation type ( χ2=27.09, P<0.001) and postoperative constipation ( χ2=18.25, P<0.001). The results of multivariate analysis showed that age>75 years old ( OR=22.17, 95% CI: 3.78-130.11, P=0.001), combined with essential hypertension ( OR=26.55, 95% CI: 3.99-176.95, P=0.001), FEV 1%≤70% ( OR=6.20, 95% CI: 1.37-28.11, P=0.018), left atrium anterior-and-posterior diameter>40 mm ( OR=10.84, 95% CI: 2.24-52.45, P=0.003), thoracoscopic lobectomy ( OR=7.07, 95% CI: 1.62-30.80, P=0.009), and postoperative constipation ( OR=79.97, 95% CI: 11.87-538.83, P<0.001) were all independent risk factors for arrhythmia after thoracoscopic pulmonary resection in elderly patients with early lung cancer. A prediction model was established for statistically significant indicators in multivariate analysis, ln ( P/1- P) =-7.89+3.10×age+3.28×combined with essential hypertension+1.82×FEV 1%+2.38×left atrium anterior-and-posterior diameter+1.96×operation type+4.38×postoperative constipation ( P was the prediction probability of P value in regression model). ROC curve analysis showed that the area under the curve (AUC) of predict arrhythmia after thoracoscopic pulmonary resection in elderly patients with early lung cancer were 0.64, 0.71, 0.68, 0.74, 0.76, 0.87 and 0.98, respectively. The Yoden index was 27.29%, 42.28%, 34.92%, 47.42%, 73.63%, 50.97% and 91.97%, respectively. Conclusion:Age>75 years old, combined with essential hypertension, FEV 1%≤70%, left atrium anterior-and-posterior diameter>40 mm, thoracoscopic lobectomy and postoperative constipation are all independent risk factors for arrhythmia after thoracoscopic pulmonary resection in elderly patients with early lung cancer. Nomogram model based on the above risk factors has high efficacy in predicting arrhythmia occurance after thoracoscopic pulmonary resection.

Humans ; Angina, Stable ; COVID-19 ; Risk Factors ; Patients