As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

Objective:This study aims to construct a colorectal cancer(CRC)prognosis prediction model based on disulfide death associated long-chain non coding ribonucleic acids(DRLncRNAs),and to explore its potential application in predicting prognosis and guiding personalized treatment.Methods:The data for this study was sourced from the Cancer Genome Atlas(TCGA)database,which includes RNA sequencing data and detailed clinical information of CRC patients.Using co expression network analysis to screen DRLncRNAs.Preliminary screening of DRLncRNAs related to prognosis was conducted through univariate Cox regression analysis,followed by variable screening and dimensionality reduction using LASSO Cox regression analysis.Finally,key DRLncRNAs for constructing a prognostic risk model were identified through multivariate Cox regression analysis.Evaluate the predictive ability of prognostic risk models for survival in CRC patients through Kaplan Meier survival curve analysis.The accuracy of the model was analyzed using receiver operating characteristic(ROC)curves,and the ability of different gene expression profiles to distinguish risk stratification was evaluated using principal component analysis(PCA).Gene ontology(GO)and KEGG enrichment analysis were used to evaluate the enrichment of high and low expression gene sets in different risk groups.Results:Five key DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)were successfully screened.In the overall concentration,the area under the curve(AUC)of the model's 1-year,3-year,and 5-year survival predictions are 0.674,0.746,and 0.727,respectively;In the training set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.669,0.762,and 0.756,respectively;In the test set,the predicted AUC for 1-year,3-year,and 5-year survival were 0.666,0.725,and 0.697,respectively.SNHG16 and AC073896.3 are protective factors,and high expression was associated with better prognosis;ZEB1-AS1,AC068580.3,and AL161729.4 were risk factors,and high expression indicates poor prognosis.The Kaplan Meier survival analysis results showed that there was a significant difference in survival between the high-risk and low-risk groups(P＜0.05),and the overall survival rate of the high-risk group was significantly lower(P＜0.05).The enrichment analysis results showed that the phosphatidylinositol mediated signal transduction,mitochondrial gene expression,and other biological processes related to 5 DRLncRNAs may be involved in the occurrence,development,and poor prognosis of CRC.The results of this study showed that a prognostic risk model based on five DRLncRNAs(AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16)was successfully established,which showed independent correlation with the overall survival status of CRC patients.In addition,the prognostic risk model constructed based on these 5 DRLncRNAs can effectively predict the prognosis of CRC patients.Conclusion:This study identified five DRLncRNAs,including AC068580.3,AL161729.4,ZEB1-AS1,AC073896.3,and SNHG16,that are associated with the prognosis of CRC patients.The prognostic risk model constructed based on these five DRLncRNAs has a high evaluation efficiency for the prognosis of CRC patients.

In a healthy human, the airway mucus forms a thin, protective liquid layer covering the surface of the respiratory tract. It comprises a complex blend of mucin, multiple antibacterial proteins, metabolic substances, water, and electrolytes. This mucus plays a pivotal role in the lungs' innate immune system by maintaining airway hydration and capturing airborne particles and pathogens. However, heightened mucus secretion in the airway can compromise ciliary clearance, obstruct the respiratory tract, and increase the risk of pathogen colonization and recurrent infections. Consequently, a thorough exploration of the mechanisms driving excessive airway mucus secretion is crucial for establishing a theoretical foundation for the eventual development of targeted drugs designed to reduce mucus production. Across a range of lung diseases, excessive airway mucus secretion manifests with unique characteristics and regulatory mechanisms, all intricately linked to mucin. This article provides a comprehensive overview of the characteristics and regulatory mechanisms associated with excessive airway mucus secretion in several prevalent lung diseases.
Humans ; Mucus/metabolism* ; Mucins/physiology* ; Lung Diseases/metabolism* ; Respiratory Mucosa/metabolism* ; Pulmonary Disease, Chronic Obstructive/physiopathology* ; Asthma/physiopathology* ; Cystic Fibrosis/physiopathology* ; Mucociliary Clearance/physiology*

The major components of Olaflur raw material were characterized using ultra performance liquid chromatography-quadrupole time-of-flight-mass spectrometry(UPLC-Q-TOF/MS).The results revealed that cetyl amine fluoride(C16-AmF),octadecene amine fluoride(C18:1-AmF),and octadecyl amine fluoride(Olaflur)were the main components.The contents of C16-AmF,C18:1-AmF,and Olaflur in oral care products were determined via ultra performance liquid chromatography-charged aerosol detector coupled with solid-phase extraction(SPE-UPLC-CAD).The oral care sample was dispersed evenly with a 50%ethanol aqueous solution,and then vortexed with ethanol.The supernatant was collected by centrifugation,concentrated to near dryness,and redissolved with ultrapure water.The re-dissolved sample was loaded onto a Poly-Sery HLB Pro SPE column for purification and elution.The acetonitrile eluate was collected and concentrated to 1.0 mL.Finally,a prepared test solution was separated on a Thermo Acclaim Surfactant Plus chromatographic column(2.1 mm×150 mm,3 μm).Acetonitrile and 100 mmol/L acetic acid-ammonium acetate aqueous solution(pH=4.8)were used as the mobile phases for gradient elution.The flow rate was 0.3 mL/min and cloumn temperature was maintained at 40℃.The sample was detected using a charged aerosol detector,and quantified using an external standard method.The experimental results indicated that the three organic fluorinated amines showed good linear relationship in their respective concentration ranges.The correlation coefficients(r)were greater than 0.99.The limit of detection(LOD)and the limit of quantification(LOQ)of C16-AmF were 2.0 and 8.0 μg/mL,respectively.The LOD and LOQ of C18:1-AmF were 2.0 and 8.0 μg/mL,respectively.The LOD and LOQ of Olaflur were 3.0 μg/mL and 10.0 μg/mL,respectively.The spiked recoveries of the three organic fluorinated amines were 84.3%-104.2%,with relative standard deviations(RSDs)of 4.93%-5.82%.The 28 batches of commercial oral care samples were detected by this method and the results indicated that three organic fluorinated amines were detected in 18 samples and the total content were 22.2-11477.8 μg/g.This method had high sensitivity and good reproducibility.It was suitable for verifying the authenticity of the claims of oral care products promoted with Olaflur as the main efficacy ingredient and selling point,and provided a valuable reference for establishing and improving the standard analytical method for Olaflur.

Objective To evaluate the value of pre-ascent 6-minute walking test performed at a high altitude in predicting the incidence of acute mountain sickness(AMS)induced by rapid ascent to a very high altitude.Methods After baseline information was collected,participants completed the 6-minute walking test at a high altitude of 2 900 m.Then,they rapidly ascended to a very high altitude of 5 000 m.The Lake Louise score was recorded to assess AMS.Results The AMS group showed a shorter pre-ascent 6-minute walking distance(6MWD)at the high altitude than the non-AMS group[480.00(450.00,521.75)m vs.546.00(516.50,568.50)m,P=0.006].No difference was observed regarding the pre-ascent heart rate or peripheral oxygen saturation(both P>0.05).The pre-ascent 6MWD at the high altitude was negatively correlated with the Lake Louise score assessed after rapid ascent to the very high altitude(r=-0.497,P=0.012).Logistic regression analysis confirmed that the pre-ascent 6MWD at the high altitude was associated with the risk of AMS induced by rapid ascent to the very high altitude(OR=0.971,95% CI=0.947-0.996,P=0.022).The results indicated that the pre-ascent 6MWD demonstrated ideal prediction performance(area under receiver operating characteristic curve=0.846,P=0.006).Conclusion The pre-ascent 6MWD recorded at the high altitude is a convenient and reliable predictor of the AMS induced by rapid ascent to the very high altitude.
Humans ; Altitude Sickness/diagnosis* ; Male ; Adult ; Female ; Young Adult ; Middle Aged ; Acute Disease ; Walk Test ; Walking ; Altitude ; Exercise Test

Urinary system tumors are very common nowadays，including prostate cancer，renal cancer，bladder cancer，and urothelial carcinoma.In recent years，the incidence of these tumors has been on the rise.This paper briefly summarizes the emerging technologies explored by West China Hospital in recent years for urinary system tumors，such as gene sequencing analysis，radiomics and big data，liquid chromatography-mass spectrometry，multi-modal intelligent fusion diagnostic technology，surgical decision-making tools built with artificial intelligence and big data，mRNA vaccines，combination of targeted and immune therapies，and irreversible electroporation technology.These technologies provide strong support and point out the ways for the prevention，early diagnosis，and individualized treatment of urinary system tumors.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.