Clinical death refers to the permanent cessation of life functions. This article reviews the definition of clinical death and the various scenarios in which it occurs, classifies the process of clinical death, and discusses the criteria for determining uncontrollable cardiac death, controllable cardiac death and the criteria and workflow for determining brain death. It elaborates on the relationship between brain death and death, and proposes the areas to note when standardizing the medical documentation of death cases. Based on this, it introduces the content of the management system and workflow construction for death determination in medical institutions, including management structure, personnel qualifications, document norms, quality control system and training mechanism. Paying attention to the construction of the management system and workflow for death determination in medical institutions is of great significance for ensuring medical quality and safety, promoting the healthy development of organ donation, and maintaining the seriousness of legal and ethical practices.

Hereditary dentine disorders are a series of diseases with abnormal dentin structure and mineralization caused by ge-netic factors,of which the proceeding and genetic mechanisms could be effectively studied based on mouse models.This review in-troduces the basic classification and common pathogenic genes of hereditary dentine disorders,and overviews developmental char-acteristics as well as major markers of mouse dentin.Various types of genetically modified mice simulating human hereditary den-tine disorders are briefly described,providing a theoretical foundation for the deep study of these kinds of diseases.

Objective:To analyze the epidemiological characteristics and trend of hospitalization of the patients with herpes zoster in Beijing from 2017 to 2022.Methods:In this retrospective study, the information of hospitalization of herpes zoster patients were collected from all medical institutions at the first level and above in Xicheng, Changping, and Miyun districts of Beijing. The age and gender specific hospitalization rates and age-standardized hospitalization rates were calculated. Joinpoint regression model was used to explore the trend of the hospitalization rates, and the influencing factors of the hospital stay length and complications were analyzed.Results:The age-standardized hospitalization rate of the patients with herpes zoster was 10.82/100 000-18.43/100 000 in Beijing from 2017 to 2022 [annual percent change (APC) =5.86%, 95% CI: -2.80%-15.98%]. The age-standardized hospitalization rate of the cases with herpes zoster as the main diagnosis showed an upward trend (APC=11.35%, 95% CI: 7.21%-16.23%). The age-standardized hospitalization rate showed an upward trend in women (APC=14.34%, 95% CI: 7.95%-22.37%). The hospitalization rate showed a downward trend in age group 30-39 years (APC=-24.92%, 95% CI: -48.56% - -1.85%) and showed upward trends in age group 70-79 years and 80-109 years (APC=23.18%, 95% CI: 13.53%-35.58%; APC=4.90%, 95% CI: 1.18%-9.19%). Complications occurred in 66.28% (680/1 026) of the patients. The median hospital stay length was 9 (5,15) days, and the patients with high age (≥80 years) and two or more complications had longer hospital stay, which were 12 (6, 23) and 14 (7, 27) days respectively ( P<0.001). Conclusions:The hospitalization rate in women and the elderly aged ≥70 years with herpes zoster as the main diagnosis showed upward trends in Beijing in recent years. The elderly aged ≥80 years usually had longer hospital stay, showing a relatively disease burden level. More attention should be paid to development of intervention strategies, such as vaccine, for this population.

Objective:To understand the incidence rate of herpes zoster (HZ) and postherpetic neuralgia (PHN) in Beijing, and analyze the incidence trend of HZ and PHN from 2015 to 2022.Methods:Cases of HZ and PHN from 2015 to 2022 were retrieved from the Hospital Information Systems (HIS) of all primary and above hospitals/clinics in three districts representing the urban, inner suburban, and outer suburban areas of Beijing. After duplication screening, the first visit cases were screened, and the incidence characteristics were described. The incidence rate of HZ and PHN in each year by sex and age group and the age-standardized incidence rate were calculated. The annual percentage increase (APC) of incidence rate was calculated using the Joint regression model, and the change trend was analyzed.Results:The age-standardized incidence rate of HZ in Beijing from 2015 to 2022 ranged from 7.44‰ to 10.05‰, with an average annual incidence rate of 8.95 ‰, significantly increasing with age ( P<0.001). The Joinpoint regression model showed that the overall age-standardized incidence of HZ remained relatively stable, with no significant difference (APC=2.28%, t=1.56, P=0.170). However, the incidence rate among the 0-19-year-old group exhibited a trend of decrease (APC=-10.70%, t=-6.29, P<0.001). For PHN, the age-standardized incidence in Beijing ranged from 0.77‰ to 2.67‰, with an average annual incidence rate of 1.59‰ and a proportion of 9.48% to 26.86% among HZ cases. Both the incidence of PHN and its proportion among HZ cases increased with age ( P<0.001). The age-standardized incidence of PHN increased annually (APC=18.56%, t=9.02, P<0.001). Conclusion:The incidence rate of HZ and PHN in Beijing continues to be at a high level, and PHN shows an increasing trend over time.

Objective To investigate the value of whole lung CT radiomics combined with clinical and conventional CT features for differentiating non-tuberculous mycobacterial pulmonary disease(NTM-PD)and pulmonary tuberculosis(PTB).Methods Fifty-three NTM-PD(NTM-PD group)and 111 PTB(PTB group)patients diagnosed by mycobacteria culture were retrospectively collected.The patients were divided into training set(n=115,including 37 cases of NTM-PD and 78 cases of PTB)and test set(n=49,including 16 cases of NTM-PD and 33 cases of PTB)at the ratio of 7∶3.Patients'clinical and pulmonary CT manifestations of lesions were analyzed using univariate and multivariate logistic regression,and the independent impact factors for differentiating NTM-PD and PTB lesions were screened.The best radiomics features were extracted and screened based on whole lung CT.Based on independent impact factors,the best radiomics features and their combination,clinical-CT,radiomics and combined models were constructed with random forest,and the differential efficacy of each model was evaluated.Results Patients'age(OR=0.264),gender(OR=0.956),immunoglobulin G(OR=3.416),C reactive protein(OR=3.418)and bronchiectasis shown on CT(OR=0.285)were all independent impact factors for differentiating NTM-PD and PTB.Twelve best radiomics features were screened based on whole lung ROI.The AUC of combined model in training set and test set was 0.915 and 0.901,respectively,both higher than that of clinical model(AUC=0.832,0.801,Z=1.340,3.710,both P＜0.05)and radiomics model(AUC=0.877,0.821,Z=-2.520,-5.240,both P＜0.05).Conclusion Whole lung CT radiomics combined with clinical and conventional CT features could effectively distinguish NTM-PD and PTB.

Objective:To analyze the epidemiological characteristics and trend of hospitalization of the patients with herpes zoster in Beijing from 2017 to 2022.Methods:In this retrospective study, the information of hospitalization of herpes zoster patients were collected from all medical institutions at the first level and above in Xicheng, Changping, and Miyun districts of Beijing. The age and gender specific hospitalization rates and age-standardized hospitalization rates were calculated. Joinpoint regression model was used to explore the trend of the hospitalization rates, and the influencing factors of the hospital stay length and complications were analyzed.Results:The age-standardized hospitalization rate of the patients with herpes zoster was 10.82/100 000-18.43/100 000 in Beijing from 2017 to 2022 [annual percent change (APC) =5.86%, 95% CI: -2.80%-15.98%]. The age-standardized hospitalization rate of the cases with herpes zoster as the main diagnosis showed an upward trend (APC=11.35%, 95% CI: 7.21%-16.23%). The age-standardized hospitalization rate showed an upward trend in women (APC=14.34%, 95% CI: 7.95%-22.37%). The hospitalization rate showed a downward trend in age group 30-39 years (APC=-24.92%, 95% CI: -48.56% - -1.85%) and showed upward trends in age group 70-79 years and 80-109 years (APC=23.18%, 95% CI: 13.53%-35.58%; APC=4.90%, 95% CI: 1.18%-9.19%). Complications occurred in 66.28% (680/1 026) of the patients. The median hospital stay length was 9 (5,15) days, and the patients with high age (≥80 years) and two or more complications had longer hospital stay, which were 12 (6, 23) and 14 (7, 27) days respectively ( P<0.001). Conclusions:The hospitalization rate in women and the elderly aged ≥70 years with herpes zoster as the main diagnosis showed upward trends in Beijing in recent years. The elderly aged ≥80 years usually had longer hospital stay, showing a relatively disease burden level. More attention should be paid to development of intervention strategies, such as vaccine, for this population.

Objective:To evaluate the expression of tertiary lymphoid structures (TLS) in renal tissues, and the relationship between TLS and clinicopathological changes and prognosis in idiopathic membranous nephropathy (IMN) patients.Methods:It was a single center retrospective study. The patients with IMN diagnosed by renal biopsy at Shengjing Hospital Affiliated to China Medical University from January 2018 to December 2020 were enrolled, and their clinicopathological data were collected. Immunohistochemistry was used to evaluate the expression of TLS in renal tissues. According to whether TLS expression in renal tissues was positive or not, the patients were divided into TLS-positive group and TLS-negative group, and the baseline differences in clinicopathological data between the two groups were compared. The clinical remission included complete remission and partial remission. Logistic regression analysis was used to analyze the correlation between serum phospholipase A2 receptor (PLA2R) antibody titer and positive TLS expression in renal tissues. Kaplan-Meier survival curve and log-rank test were performed to analyze the differences of proteinuria remission rates between TLS-positive and TLS-negative groups. Cox regression analysis was employed to identify the related factors of proteinuria remission. The receiver operating characteristic (ROC) curve was used to evaluate the value of TLS in predicting proteinuria remission.Results:A total of 120 IMN patients were included in this study, with age of 50.00 (40.00, 57.75) years and 78 (65.00%) males. The 24-hour urinary protein was (7.54±4.14) g, 89 (74.17%) patients were positive for serum PLA2R antibody, and the serum PLA2R antibody titer was 90.49 (48.88, 155.33) RU/ml. Immunohistochemical results showed that TLS was mainly distributed in the renal cortex glomeruli or around renal blood vessels in renal tissues. There were 43 patients in the TLS-positive group and 77 patients in the TLS-negative group. The positive rate of serum PLA2R antibody in the TLS-positive group was 83.72% (36/43). Compared with the TLS-negative group, the TLS-positive group had lower serum albumin ( t=-3.474, P<0.001) and estimated glomerular filtration rate ( Z=-2.076, P=0.045), while serum creatinine ( t=2.006, P=0.028), 24-hour urinary protein ( t=4.140, P<0.001), serum PLA2R antibody titer ( Z=4.628, P=0.001), glomerulosclerosis degree ( Z=2.403, P=0.019), and proportions of hypertension ( χ2=6.511, P=0.011), renal interstitial fibrosis ( χ2=4.088, P=0.043), renal interstitial inflammatory cell infiltration ( χ2=9.261, P=0.002), tubular atrophy ( χ2=4.936, P=0.026) and extremely high-risk of kidney disease progression ( χ2=9.352, P=0.002) were higher. Multivariate logistic regression analysis showed that serum PLA2R antibody titer was an independent factor correlated with positive TLS expression in renal tissues ( OR=1.014, 95% CI 1.007-1.021). The median follow-up time was 18.00 (95% CI 16.07-19.93) months. Kaplan-Meier survival curve showed that the proteinuria remission rate in the TLS-positive group was lower than that in the TLS-negative group (Log-rank χ2=9.339, P=0.002). Cox regression analysis showed that positive TLS expression was an independent factor correlated with proteinuria remission ( HR=0.228, 95% CI 0.177-0.297). ROC curve showed that TLS had a certain clinical predictive value for proteinuria remission ( AUC=0.703, 95% CI 0.608-0.798). Conclusions:IMN patients with positive TLS expression in renal tissues have a lower proteinuria remission rate, more severe pathological damage, and a higher risk of disease progression. TLS is expected to become a pathological marker for predicting the severity and prognosis of IMN.

Objective:To understand the incidence rate of herpes zoster (HZ) and postherpetic neuralgia (PHN) in Beijing, and analyze the incidence trend of HZ and PHN from 2015 to 2022.Methods:Cases of HZ and PHN from 2015 to 2022 were retrieved from the Hospital Information Systems (HIS) of all primary and above hospitals/clinics in three districts representing the urban, inner suburban, and outer suburban areas of Beijing. After duplication screening, the first visit cases were screened, and the incidence characteristics were described. The incidence rate of HZ and PHN in each year by sex and age group and the age-standardized incidence rate were calculated. The annual percentage increase (APC) of incidence rate was calculated using the Joint regression model, and the change trend was analyzed.Results:The age-standardized incidence rate of HZ in Beijing from 2015 to 2022 ranged from 7.44‰ to 10.05‰, with an average annual incidence rate of 8.95 ‰, significantly increasing with age ( P<0.001). The Joinpoint regression model showed that the overall age-standardized incidence of HZ remained relatively stable, with no significant difference (APC=2.28%, t=1.56, P=0.170). However, the incidence rate among the 0-19-year-old group exhibited a trend of decrease (APC=-10.70%, t=-6.29, P<0.001). For PHN, the age-standardized incidence in Beijing ranged from 0.77‰ to 2.67‰, with an average annual incidence rate of 1.59‰ and a proportion of 9.48% to 26.86% among HZ cases. Both the incidence of PHN and its proportion among HZ cases increased with age ( P<0.001). The age-standardized incidence of PHN increased annually (APC=18.56%, t=9.02, P<0.001). Conclusion:The incidence rate of HZ and PHN in Beijing continues to be at a high level, and PHN shows an increasing trend over time.

Objective:To propose an alarm method for ventilator fault and abnormality of machine signs based on convolutional neural network(CNN)model,which aimed at the problem of low detection rate of ventilator faults and abnormalities of machine sign,and to analyze its application value in patients with chronic obstructive pulmonary disease(COPD)in using non-invasive ventilator.Methods:This study established a identification model(CNN-SG)for ventilator fault based on stochastic gradient descent by mini-batch method that was introduced by CNN network,and a multi-task CNN identification model for abnormalities of machine signs of ventilator was established on the basis of CNN model.The respiratory waveform data of 60 patients with chronic obstructive pulmonary disease(COPD)who admitted to Wusong Hospital,Zhongshan Hospital Affiliated to Fudan University from January 2019 to January 2024 were collected.These data were divided into train set(42 cases)and validation set(18 cases)as ratio of 7 to 3.The training set was used in the learning process of model,while the validation set was used to assess the model's performance for unknown data.One-hot encoding was used to represent fault states,and to predict whether occurred abnormal data failures within specific time intervals.Two independent convolutional networks were employed respectively to detect and identify invalid inspiratory effort and double-triggering abnormalities in abnormal machine signs.Model performance was assessed by using accuracy,precision,recall rate,negative predictive value(NPV),and specificity.Chi-square test was used to compare the differences of various assessment indicators between different models.The F1-score was calculated to comprehensively assess the performance of model.Results:In the validation set,the accuracy(99.98%),precision(99.90%),recall rate(99.97%),NPV(98.68%),and specificity(98.24%)of CNN-SG model were higher than those of CNN model in identify the fault of ventilator.In detecting invalid inspiratory effort,the accuracy,sensitivity,specificity and F1-scores of CNN-MTL model were respectively 98.83%,98.81%,97.68%and 98.85.The accuracy,sensitivity,specificity and F1-scores of CNN-MTL model were respectively 98.70%,98.83%,97.62%,and 98.75 in identifying double-triggering positive features,as well as 98.80%,98.81%,98.88%and 98.99 for double-triggering negative features.All of the above indicators of CNN-SG were significantly better than those of the conventional CNN model.Conclusion:The established deep learning algorithm model based on CNN can effectively identify faults and abnormalities of machine signs of non-invasive ventilator.

Objective:To investigate the role of ezrin-radixin-moesin-binding phosphoprotein 50 (EBP50) in renal tubular epithelial-mesenchymal transition (EMT) in diabetic nephropathy (DN).Methods:Renal tissue specimens from 24 DN patients (DN group) confirmed by medical history, clinical laboratory tests, and pathological diagnosis at the Third Hospital of Hebei Medical University and 15 adjacent normal renal tissues (control group) from 2018 to 2023 were collected. Immunohistochemical staining was performed to detect the expression of EBP50, E-cadherin, and Vimentin proteins. Additionally, 10 healthy volunteers were enrolled as a normal group, and fasting blood glucose, serum creatinine, blood urea nitrogen, and 24 h urinary protein levels were compared between DN patients and the normal group.Results:Fasting blood glucose, serum creatinine, blood urea nitrogen, and 24 h urinary protein levels were significantly higher in the DN group than in the normal group (all P<0.01). Periodic acid-schiff (PAS) staining revealed significant thickening of the glomerular basement membrane, increased extracellular matrix, vacuolar degeneration of renal tubules, and elevated extracellular matrix in the renal interstitium in the DN group. Immunohistochemistry showed higher expression of EBP50 and E-cadherin proteins in the control group than in the DN group (all P<0.01), while Vimentin expression was lower in the control group ( P<0.01). Conclusions:EBP50 is involved in the EMT process of renal tubules in DN and is associated with tubular injury.