Objective To evaluate the second catalog of the key monitoring and rational use drugs(KMRUD),and to provide a reference framework for medical institutions to develop their own KMRUD catalogs and management policies.Methods A comprehensive search on official websites of national and provincial health administrative departments was conducted using the keywords"key monitoring","rational drug use",and"the second catalog".Announced catalogs and related policy documents pertaining to KMRUD use were collected and systematically organized.Comparative analyses were performed between the national KMRUD catalogs of the first and second batches,as well as between the second batch of provincial KMRUD catalogs and the national standard.Additionally,the adoption and variation of national KMRUD drug management policies across provinces,as well as the uniformity and divergence of provincial KMRUD management policies,were examined.Results The second national KMRUD catalog maintained 7 drug varieties from the first batch,eliminated 13,and introduced 23 new varieties.Of the 24 surveyed provinces,9 modified their provincial catalogs relative to the national second batch KMRUD catalog,resulting in alterations to 66 drug varieties within 10 Anatomical Therapeutic Chemical(ATC)classes,primarily systemic anti-infectives.Several provinces,including Xinjiang,Inner Mongolia,Liaoning,Shanghai,and Qinghai,implemented additional management measures such as the establishment of clinical application guidelines and the clarification of application conditions and principles.Moreover,provinces like Inner Mongolia,Shandong,Jilin,and Heilongjiang expanded their KMRUD management toolbox by developing drug monitoring indicators.The revision of inclusion rules from the first to the second KMRUD catalog has led to the incorporation of numerous essential clinical drugs.The prior protocol of medical institutions excluding drugs unilaterally is no longer viable,as it may disrupt the standard medication supply,potentially raising treatment costs.Conclusion Medical institutions ought to assimilate the updated implications of KMRUD use,draw on established provincial monitoring and management methodologies,enhance clinical application guidelines,and articulate conditions and principles for clinical use.Furthermore,by employing prescription review mechanisms,in-hospital monitoring,evaluation,and advanced warning systems,medical institutions can strategically oversee KMRUD use.

Objective:To develop a Cognitive Assessment Scale for Spinal Cord Injury (SCI) Rehabilitation and conduct reliability and validity tests in community-dwelling patients with SCI.Methods:Based on expectation value theory, social cognition theory, and goal setting theory, a Cognitive Assessment Scale for SCI Rehabilitation was developed through literature review, group discussions, patient trials, and expert verification. From February to December 2021, convenience sampling was used to select 231 community-dwelling patients with SCI as research subjects, including 67 community-dwelling patients with SCI who participated in rehabilitation training at Shanghai Sunshine Rehabilitation Center and 164 patients with SCI in the "Hope Home" WeChat group of Shanghai Sunshine Rehabilitation Center. Research subjects were surveyed using the Cognitive Assessment Scale for SCI Rehabilitation (patient version), 9-item depression scale of Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, EuroQol 5 Dimension-Visual Analogue Scale (EQ-VAS), General Self-Efficacy Scale, and general information questionnaire. SPSS 16.0 software and Amos 21.0 software were used for correlation analysis and reliability and validity testing.Results:The Cognitive Assessment Scale for SCI Rehabilitation (patient version) included two primary dimensions, eight secondary dimensions, and 24 items. The trial showed good results among patients with SCI and their caregivers, and experts generally agreed. Exploratory factor analysis found that the scale were divided into recognition dimension and understanding dimension. Cronbach's α coefficient of the scale was 0.98, the correlation coefficient between each item and its corresponding dimension was 0.75 to 0.88, and our results indicated good test-retest reliability. Correlation analysis showed that patient anxiety and depression scores were negatively correlated with rehabilitation cognitive scores ( P<0.05), and self-efficacy, quality of life were positively correlated with rehabilitation cognitive scores ( P<0.05) . Conclusions:The Cognitive Assessment Scale for SCI Rehabilitation is scientific and feasible, with good reliability and validity, and can be used to evaluate the rehabilitation cognition of community-dwelling patients with SCI.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

OBJECTIVE: To establish a machine learning model based on extreme gradient boosting (XGBoost) algorithm for early prediction of severe acute pancreatitis (SAP), and explore its predictive efficiency. METHODS: A retrospective cohort study was conducted. The patients with acute pancreatitis (AP) who admitted to the First Affiliated Hospital of Soochow University, the Second Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University from January 1, 2020 to December 31, 2021 were enrolled. Demography information, etiology, past history, and clinical indicators and imaging data within 48 hours of admission were collected according to the medical record system and image system, and the modified CT severity index (MCTSI), Ranson score, bedside index for severity in acute pancreatitis (BISAP) and acute pancreatitis risk score (SABP) were calculated. The data sets of the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University were randomly divided into training set and validation set according to 8 : 2. Based on XGBoost algorithm, the SAP prediction model was constructed on the basis of hyperparameter adjustment by 5-fold cross validation and loss function. The data set of the Second Affiliated Hospital of Soochow University was served as independent test set. The predictive efficacy of the XGBoost model was evaluated by drawing the receiver operator characteristic curve (ROC curve), and compared it with the traditional AP related severity score; variable importance ranking diagram and Shapley additive explanation (SHAP) diagram were drawn to visually explain the model. RESULTS: A total of 1 183 AP patients were enrolled finally, of which 129 (10.9%) developed SAP. Among the patients from the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University, there were 786 patients in the training set and 197 in the validation set; 200 patients from the Second Affiliated Hospital of Soochow University were used as the test set. Analysis of all three datasets showed that patients who advanced to SAP exhibited pathological manifestation such as abnormal respiratory function, coagulation function, liver and kidney function, and lipid metabolism. Based on the XGBoost algorithm, an SAP prediction model was constructed, and ROC curve analysis showed that the accuracy for prediction of SAP reached 0.830, the area under the ROC curve (AUC) was 0.927, which was significantly improved compared with the traditional scoring systems including MCTSI, Ranson, BISAP and SABP, the accuracy was 0.610, 0.690, 0.763, 0.625, and the AUC was 0.689, 0.631, 0.875, and 0.770, respectively. The feature importance analysis based on the XGBoost model showed that the top ten items ranked by the importance of model features were admission pleural effusion (0.119), albumin (Alb, 0.049), triglycerides (TG, 0.036), Ca²⁺ (0.034), prothrombin time (PT, 0.031), systemic inflammatory response syndrome (SIRS, 0.031), C-reactive protein (CRP, 0.031), platelet count (PLT, 0.030), lactate dehydrogenase (LDH, 0.029), and alkaline phosphatase (ALP, 0.028). The above indicators were of great significance for the XGBoost model to predict SAP. The SHAP contribution analysis based on the XGBoost model showed that the risk of SAP increased significantly when patients had pleural effusion and decreased Alb. CONCLUSIONS A SAP prediction scoring system was established based on the machine automatic learning XGBoost algorithm, which can predict the SAP risk of patients within 48 hours of admission with good accuracy.
Humans ; Pancreatitis ; Acute Disease ; Retrospective Studies ; Hospitalization ; Algorithms

Objective:To explore the effect of early essential newborn care technology during cesarean section on early health outcomes of mothers and infants and breast feeding.Methods:This study was a randomized controlled study. From October 2020 to August 2021, 104 delivery women and their newborns who were scheduled for full-term cesarean section in Peking University First Hospital were selected as the study subject. The subjects were randomly divided into control group and intervention group, 52 cases in each group. The control group received routine nursing of the newborn after cesarean section, while the intervention group received early essential newborn care technology after cesarean section. The amount of postpartum hemorrhage, hospital stay, Apgar score at one and five minutes after birth, the incidence of abnormal conditions within 90 minutes after birth, the time of umbilical cord shedding, the time of the first feeding sign of the newborn, the success rate of early initiation of breastfeeding and the implementation of breast feeding at discharge were compared between the two groups.Results:There was no statistical difference between the two groups in the amount of postpartum hemorrhage within two hours, the amount of postpartum hemorrhage within two to 24 hours and the number of days in hospital ( P>0.05) . There was no statistical difference between the two groups in Apgar scores at one and five min after birth ( P>0.05) . There was no statistical difference between the two groups in the occurrence of re-attraction, respiratory abnormalities, resuscitation, Neonatal Intensive Care Unit (NICU) transfer and other abnormalities within 90 minutes after birth ( P>0.05) . There was no statistical difference in the time of umbilical cord shedding between the two groups ( P>0.05) , and no umbilical infection occurred. The first foraging reflex in the intervention group was earlier than that in the control group, and the success rate of early initiation of breastfeeding was higher than that in the control group, and the differences was statistically significant ( P<0.05) . There was no statistical difference in the implementation of breast feeding between the two groups at discharge ( P>0.05) . Conclusions:It is safe and feasible to implement early essential newborn care technology during cesarean section, and it can effectively promote early initiation of breastfeeding, which is of great significance for breast feeding and has the value of clinical promotion.

Maintaining the stemness of the transplanted stem cell spheroids in an inflammatory microenvironment is challenging but important in regenerative medicine. Direct delivery of stem cells to repair periodontal defects may yield suboptimal effects due to the complexity of the periodontal inflammatory environment. Herein, stem cell spheroid is encapsulated by interfacial assembly of metal-phenolic network (MPN) nanofilm to form a stem cell microsphere capsule. Specifically, periodontal ligament stem cells (PDLSCs) spheroid was coated with Fe^III/tannic acid coordination network to obtain spheroid@[Fe^III-TA] microcapsules. The formed biodegradable MPN biointerface acted as a cytoprotective barrier and exhibited antioxidative, antibacterial and anti-inflammatory activities, effectively remodeling the inflammatory microenvironment and maintaining the stemness of PDLSCs. The stem cell microencapsulation proposed in this study can be applied to multiple stem cells with various functional metal ion/polyphenol coordination, providing a simple yet efficient delivery strategy for stem cell stemness maintenance in an inflammatory environment toward a better therapeutic outcome.
Anti-Bacterial Agents/pharmacology* ; Capsules/pharmacology* ; Cell Differentiation ; Cell Encapsulation ; Cells, Cultured ; Ferric Compounds/pharmacology* ; Osteogenesis/physiology* ; Periodontal Ligament ; Polyphenols/pharmacology* ; Stem Cells ; Tannins/pharmacology*