Healthy dental pulp is essential for preserving teeth and maintaining their normal function. Vital pulp therapy (VPT) is widely used in clinical applications because it aims to preserve vital pulp and enhance the long-term survival of teeth. An accurate diagnosis of pulp vitality is a prerequisite for successful VPT. However, accurately assessing pulp viability remains challenging in clinical practice. Pulp viability is influenced by various factors, including the type of pulp exposure, caries status, periodontitis, trauma, treatment factors, patient age, and individual differences. Assessing pulp viability requires a comprehensive consideration of medical history and clinical manifestations, along with a combination of various auxiliary methods, such as pulp sensibility tests, pulp blood flow tests, imaging techniques and molecular diagnostics. In the future, the technology for assessing pulp vitality should evolve toward chairside, visualization, and precision techniques, to achieve consistency between clinical and histological diagnoses, thereby providing patients with the most effective treatment.

Objective To formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

Objective:To evaluate the efficacy and safety of a Chinese herbal mask in the treatment of melanized-type melasma by stereological measurements.Methods:A randomized, controlled, evaluator- and statistician-blind clinical study was conducted. A total of 116 patients with melasma who met the inclusion and exclusion criteria were selected and equally divided into two groups by using a random number table method, with 58 patients in each group. The treatment group received topical treatment with a Chinese herbal mask once a night, while the control group received topical hydroquinone cream in the morning and evening twice daily. The course of treatment lasted 12 weeks, with follow-ups every 4 weeks, and an additional follow-up was performed 12 weeks after discontinuation of treatment. A facial image analyzer and a reflectance confocal microscopy (RCM) were used to collect images before and after treatment. Melasma area and severity index (MASI) scores and RCM scores served as outcome measures, and stereological measurement methods were employed to compare scores before and after treatment; response rates and recurrence rates were calculated, and adverse reactions were observed and recorded. Statistical analyses were performed using the chi-square test and t test. Results:A total of 54 patients in the treatment group and 47 patients in the control group completed the study. After 4- and 8-week treatment, there were no significant differences in MASI scores or RCM scores between the two groups (all P > 0.05) ; after 12-week treatment, the MASI scores and RCM scores were significantly lower in the treatment group (2.91 ± 1.16, 5.48 ± 1.60, respectively) than in the control group (3.99 ± 2.03, 6.66 ± 1.88, t = -3.32, -3.37, respectively, both P < 0.01). After the end of treatment, there was no significant difference in the response rate between the treatment group (44/54, 81.5%) and the control group (34/47, 72.3%; χ2 = 0.12, P > 0.05). Twelve weeks after discontinuation of treatment, 2 patients (3.7%) relapsed in the treatment group, while 15 (31.9%) relapsed in the control group, showing a significant difference in recurrence rates between the two groups ( χ2 = 12.34, P < 0.01). Adverse reactions occurred in 2 patients (3.7%) in the treatment group and 6 (11.5%) in the control group, and there was no significant difference in the incidence of adverse reactions between the two groups ( χ2 = 1.34, P > 0.05) . Conclusions:The Chinese herbal mask was safe and effective in the treatment of melanized-type melasma. The application of the facial image analyzer and RCM technology in combination with stereological measurement methods has certain value in reducing the subjectivity in efficacy evaluation for melasma.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

OBJECTIVE: To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients. METHODS: Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions. RESULTS: A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model. CONCLUSIONS The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans ; Machine Learning ; Aged ; Sepsis-Associated Encephalopathy ; Sepsis/complications* ; Intensive Care Units ; Logistic Models ; Middle Aged ; Male ; ROC Curve ; Female ; Bayes Theorem ; Nomograms ; Support Vector Machine ; Algorithms

OBJECTIVES: This study aimed to investigate the incidence, imaging characteristics, and clinical manifestations of the eruption failure of deciduous molars using panoramic radiographs to provide a foundation for diagnosis and treatment in this population. METHODS: This study retrospectively reviewed panoramic radiographs of children aged 4-8 years obtained from Stomatology Hospital, Zhejiang University School of Medicine between January 2021 and December 2023. A total of 31 331 subjects were included for the radiographic assessment of the tooth eruption failure of deciduous molars. Incidence, radiographic characteristics, and associated complications were documented. Statistical analysis was performed using SPSS 26.0. RESULTS: The incidence of the eruption failure of deciduous molars among children aged 4-8 years was 0.94% (296/31 331). The rate was 1.55 times higher in females than in males, demonstrating a significant gender difference (P<0.001). Among the affected deciduous molars, mandibular first deciduous molars accounted for 76.4%, followed by the mandibular second deciduous molars (13.8%), and the maxillary deciduous molars collectively comprised 9.8%. The severity of eruption disorders was significantly associated with the mesial and distal tilting of adjacent teeth and elongation of the antagonist (P<0.001). CONCLUSIONS The incidence of the eruption failure of deciduous molars in children aged 4-8 years was 0.94%, with a high prevalence in females and a predilection for the mandible, particularly the mandibular first deciduous molar. For deciduous molars with severe eruption failure, early intervention is crucial to mitigate complications such as malocclusion and space loss.
Humans ; Child ; Child, Preschool ; Tooth, Deciduous/diagnostic imaging* ; Female ; Molar/physiopathology* ; Male ; Retrospective Studies ; Tooth Eruption ; Radiography, Panoramic ; Incidence

Objective:To evaluate the efficacy and safety of a Chinese herbal mask in the treatment of melanized-type melasma by stereological measurements.Methods:A randomized, controlled, evaluator- and statistician-blind clinical study was conducted. A total of 116 patients with melasma who met the inclusion and exclusion criteria were selected and equally divided into two groups by using a random number table method, with 58 patients in each group. The treatment group received topical treatment with a Chinese herbal mask once a night, while the control group received topical hydroquinone cream in the morning and evening twice daily. The course of treatment lasted 12 weeks, with follow-ups every 4 weeks, and an additional follow-up was performed 12 weeks after discontinuation of treatment. A facial image analyzer and a reflectance confocal microscopy (RCM) were used to collect images before and after treatment. Melasma area and severity index (MASI) scores and RCM scores served as outcome measures, and stereological measurement methods were employed to compare scores before and after treatment; response rates and recurrence rates were calculated, and adverse reactions were observed and recorded. Statistical analyses were performed using the chi-square test and t test. Results:A total of 54 patients in the treatment group and 47 patients in the control group completed the study. After 4- and 8-week treatment, there were no significant differences in MASI scores or RCM scores between the two groups (all P > 0.05) ; after 12-week treatment, the MASI scores and RCM scores were significantly lower in the treatment group (2.91 ± 1.16, 5.48 ± 1.60, respectively) than in the control group (3.99 ± 2.03, 6.66 ± 1.88, t = -3.32, -3.37, respectively, both P < 0.01). After the end of treatment, there was no significant difference in the response rate between the treatment group (44/54, 81.5%) and the control group (34/47, 72.3%; χ2 = 0.12, P > 0.05). Twelve weeks after discontinuation of treatment, 2 patients (3.7%) relapsed in the treatment group, while 15 (31.9%) relapsed in the control group, showing a significant difference in recurrence rates between the two groups ( χ2 = 12.34, P < 0.01). Adverse reactions occurred in 2 patients (3.7%) in the treatment group and 6 (11.5%) in the control group, and there was no significant difference in the incidence of adverse reactions between the two groups ( χ2 = 1.34, P > 0.05) . Conclusions:The Chinese herbal mask was safe and effective in the treatment of melanized-type melasma. The application of the facial image analyzer and RCM technology in combination with stereological measurement methods has certain value in reducing the subjectivity in efficacy evaluation for melasma.

Objective To formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

Objective:To investigate the clinical value of left ventricular shape index (SI) and eccentricity index (EI) in evaluating left ventricular remodeling.Methods:A retrospective analysis was performed on 324 patients (264 males, 60 females, age (62.5±11.8) years) diagnosed with myocardial infarction (MI) and 113 healthy controls (HC; 47 males, 66 females, age (57.8±10.7) years) who received gated myocardial perfusion imaging (GMPI) in First Hospital of Shanxi Medical University from January 2016 to September 2020. SI (end-diastolic SI (EDSI), end-systolic SI (ESSI)), EI and left ventricular function parameters (end-diastolic volume (EDV), end-systolic volume (ESV), left ventricular ejection fraction (LVEF), summed motion score (SMS), summed thickening score (STS), peak ejection rate (PER) and peak filling rate (PFR)) were obtained by quantitative gated SPECT (QGS) software. Propensity score (PS) inverse probability of treatment weighting (IPTW) was used to balance the intergroup covariates. The differences and correlations of EDSI, ESSI, EI and left ventricular function parameters between patients in MI group and HC group were analyzed. ROC curve analysis was used to evaluate the values of EDV, EDSI, ESSI and EI alone and in combination in the assessment of left ventricular systolic function impairment. Data were analyzed by independent-sample t test, Pearson correlation and Spearman rank correlation analyses, and Delong test. Results:After IPTW, EDSI and ESSI in MI group ( n=319) were higher than those in HC group ( n=133; EDSI: 0.66±0.09 vs 0.60±0.06; ESSI: 0.59±0.11 vs 0.47±0.07; t values: 8.05, 14.67, both P<0.001), and EI was lower than that in HC group (0.81±0.06 vs 0.85±0.03; t=-8.93, P<0.001). In both groups, there were significant correlations between EDSI and ESSI ( r values: 0.928, 0.873), between EDSI, ESSI and EI ( r values: from -0.831 to -0.641), between EDSI, ESSI and LVEF ( r values: from -0.627 to -0.201), between ESSI and EDV, ESV and SMS ( rs values: 0.336-0.584), between ESSI and -PER, PFR ( rs values: from -0.406 to -0.402, r values: from -0.352 to -0.325) (all P<0.01). ROC curve analysis showed that EDV (AUC: 0.895) and ESSI (AUC: 0.839) had the highest efficacy in evaluating left ventricular systolic function impairment in MI group and HC group, respectively. EDV-EDSI-ESSI-(1-EI) had higher efficacy in the assessment of impaired left ventricular systolic function in MI group (AUC: 0.956), which was higher than that of EDV or EDV-EDSI or EDV-ESSI or EDV-(1-EI) ( z values: from -2.64 to -2.18, P values: 0.008-0.029); EDV-EDSI-ESSI-(1-EI) also had high efficacy in HC group (AUC: 0.911), which was higher than that of EDV or EDV-EDSI or EDV-(1-EI) ( z values: from -2.60 to -2.43, P values: 0.009-0.015). Conclusions:In MI patients, the increase of SI and the decrease of EI indicate the increase of left ventricular sphericity and the aggravation of left ventricular remodeling. SI and EI have certain clinical application values in evaluating left ventricular morphology, predicting left ventricular remodeling and left ventricular systolic function impairment.

Objective:To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI).Methods:Based on the American Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ), clinical data of S-AKI patients from 2008 to 2021 were collected.Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7∶3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds.Results:Based on the survival status at 3 months after diagnosis, patients were divided into 7?768 (68.54%) survivors and 3?566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95% CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95% CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95% CI was 0.56-0.58) and SIRS score's 0.56 (95% CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. Conclusions:A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC-Ⅳ and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.