Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Chronic obstructive pulmonary disease （COPD） is a chronic respiratory disease that poses a significant threat to global health， exhibiting high morbidity， disability and mortality rate， with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex， and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death （PCD） is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine （TCM） is characterized by holistic regulation. In recent years， extensive research has been conducted in the TCM field focusing on modulating apoptosis， necroptosis， pyroptosis， autophagy， and ferroptosis for the treatment of COPD， yielding remarkable achievements. Therefore， this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD， aiming to provide insights and references for the clinical prevention， treatment and in-depth research of COPD.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

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*

The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases， the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity， the precise and effective treatment of different types of viral pneumonia （VP） has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease， warm disease， and epidemic in TCM. Haoqin Qingdantang （HQQDD） is a representative formula for clearing heat and dispelling dampness in warm diseases， and its intervention in VP caused by various viral infections has significant effects. This study， guided by the theory of treating different diseases with the same therapy， links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia （IVP）， severe acute respiratory syndrome （SARS）， and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors， the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication， reduce fever reactions， inhibit the expression of inflammatory mediators， and regulate immune balance. Moreover， the sovereign medicine in this formula has excellent antiviral activity， and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP， this paper mines the underlying TCM theory of treatment with the same therapy， explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP， and analyzes the treatment mechanism and characteristics， with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.

Pneumonia is an infectious disease with high morbidity and mortality worldwide， and its damage to the body is not limited to the acute phase. The theory of combination of pathogenic factors emphasizes that the combination of new pathogens and residual pathogens in the body leads to the occurrence of diseases， which generalizes the causes of recurrence during pneumonia recovery. During the recovery stage of pneumonia， pathological changes such as disturbance of immune homeostasis， persistent low-grade inflammation， and microvascular damage continue to affect the body function， impair the health and quality of life of patients， and increase the risk of secondary infection. According to the theory of traditional Chinese medicine （TCM）， pneumonia is caused by deficiency， and Qi deficiency and blood stasis is the core pathogenesis in the recovery stage. At this time， the body is not full of healthy qi and still has residual pathogens， and thus it is susceptible to external pathogenic factors that lead to disease recurrence. As an important part of the TCM philosophy of treating disease before its onset， prevention of recurrence after recovery emphasizes the need for aftercare in the recovery stage to prevent disease recurrence. Based on the pathogenesis theory of combination of pathogenic factors and the pathogenesis of Qi deficiency and blood stasis， this paper discusses the effect and connotation of TCM in regulating immune inflammation and microvascular damage in preventing recurrence of pneumonia during the recovery stage， aiming to develop new ideas for effective prevention and treatment of pneumonia at this stage.

Objective To explore the value of intensity ratio(IR)of lesion to non-tumor liver parenchyma on contrast-enhanced ultrasound(CEUS)Kupffer phase for differentiating hepatocellular carcinoma(HCC)and intrahepatic cholangiocarcinoma(IHC)/metastatic liver carcinoma.Methods Totally 54 patients with HCC(HCC group),30 with IHC and 51 with liver metastatic carcinoma(non-HCC group)diagnosed by pathology were retrospectively enrolled.Quantitative parameters derived from CEUS time-intensity curves,including peak intensity(PI),time to peak(TTP),wash-in area under the curve(WiAUC),wash-out area under the curve(WoAUC),wash-in and wash-out area under the curve(WiWoAUC)of lesion in vascular phase and IR of lesion to non-tumor liver parenchyma in Kupffer phase were compared between groups,and a combined diagnostic model was established based on parameters being significantly different between groups using binary logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curves(AUC)were calculated to evaluate the efficacy of each CEUS parameter alone and the combined model for differentiating HCC and IHC/liver metastatic carcinoma.Results In HCC group,PI,WoAUC and WiWoAUC were all higher(all P＜0.001),while IR was significantly lower than those in non-HCC group(P＜0.001).The AUC of PI,WoAUC,WiWoAUC and IR for differentiating HCC and IHC/metastatic liver carcinoma was 0.673,0.741,0.738 and 0.736,respectively,all lower than that of combined model(0.862,all P＜0.05).Conclusion IR of lesion to non-tumor liver parenchyma on CEUS Kupffer phase could be used to differentiate HCC and IHC/metastatic liver carcinoma.Combining with quantitative parameters on CEUS vascular phase could improve differentiating efficiency.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

Objective To explore the value of intensity ratio(IR)of lesion to non-tumor liver parenchyma on contrast-enhanced ultrasound(CEUS)Kupffer phase for differentiating hepatocellular carcinoma(HCC)and intrahepatic cholangiocarcinoma(IHC)/metastatic liver carcinoma.Methods Totally 54 patients with HCC(HCC group),30 with IHC and 51 with liver metastatic carcinoma(non-HCC group)diagnosed by pathology were retrospectively enrolled.Quantitative parameters derived from CEUS time-intensity curves,including peak intensity(PI),time to peak(TTP),wash-in area under the curve(WiAUC),wash-out area under the curve(WoAUC),wash-in and wash-out area under the curve(WiWoAUC)of lesion in vascular phase and IR of lesion to non-tumor liver parenchyma in Kupffer phase were compared between groups,and a combined diagnostic model was established based on parameters being significantly different between groups using binary logistic regression analysis.Receiver operating characteristic(ROC)curves were plotted,and the area under the curves(AUC)were calculated to evaluate the efficacy of each CEUS parameter alone and the combined model for differentiating HCC and IHC/liver metastatic carcinoma.Results In HCC group,PI,WoAUC and WiWoAUC were all higher(all P＜0.001),while IR was significantly lower than those in non-HCC group(P＜0.001).The AUC of PI,WoAUC,WiWoAUC and IR for differentiating HCC and IHC/metastatic liver carcinoma was 0.673,0.741,0.738 and 0.736,respectively,all lower than that of combined model(0.862,all P＜0.05).Conclusion IR of lesion to non-tumor liver parenchyma on CEUS Kupffer phase could be used to differentiate HCC and IHC/metastatic liver carcinoma.Combining with quantitative parameters on CEUS vascular phase could improve differentiating efficiency.