ObjectiveTo develop the Evidence Grading Scale for Ancient classical prescriptions in Traditional Chinese medicine， assess its reliability and validity， and apply it in practice to provide multi-source evidence for clinical practice guidelines development. MethodsLiterature retrieval was conducted to extract and screen existing evaluation dimensions， then the initial items were summarized using thematic analysis. Experts in the clinical medicine， medical history and literature participated in the Delphi questionnaire survey to evaluate and refine the items. An expert consensus meeting was conducted to finalize the included items， refine the method for items evaluation and evidence grading. The evidence quality rating scale for ancient classical traditional Chinese medicine （TCM） prescriptions was then established and tested for reliability and validity. ResultsThrough literature review， extraction， screening and summarization， a total of 3 dimensions and 12 initial items were formed. Questionnaires were sent to 69 experts to evaluate the initial items， with a questionnaire response rate of 100% and an expert authority coefficient of 0.92. All 12 items were retained for they had importance scores above 4. The Evidence Grading Scale on Ancient classical prescriptions in Traditional Chinese medicine includes 3 dimensions with 12 items. The 3 dimensions includes ancient evidence， inheritance status， and modern application. Each dimension contains 4 items， and each item has a full score of 5 points. The evidence was rated as high-level， moderate-level， and low-level according to the final scores. The content validity index （CVI） of the 12 items was ＞0.9， the average CVI of the scale was 0.98， and the intraclass correlation coefficient （ICC） was 0.90. ConclusionThe Evidence Grading Scale on Ancient classical prescriptions in Traditional Chinese medicine has good reliability and validity， which is practical for use in the development of TCM clinical guidelines and can better support clinical decision-making.

Molecular medicine, which delves into the intricacies of biomolecular structure, function, and role, is pivotal for advancing precise diagnostics and personalized treatment. Nucleic acids, a class of star functional molecules, are notable for their versatile applications in molecular diagnostics, gene therapy, and drug development. Therefore, in this study, we review the extensive use of nucleic acid aptamers in medicinal practice. Furthermore, the expanding field of molecular medicine has catalyzed advancements in traditional Chinese medicine (TCM), as evidenced by scientific endeavors to integrate modern technologies. Therefore, TCM has experienced rapid modernization by leveraging artificial intelligence, nucleic acid molecular medicine, and bioelectronic medicine.

Objective To evaluate the impact of flash glucose monitoring(FGM)system on glycemic control and adverse pregnancy outcome in pregnant women with type 2 diabetes mellitus(T2DM).Methods This prospective,open-label,randomized,controlled clinical trial involved 109 women with T2DM at 16～18 weeks of gestation who visited Liaocheng People's hospital and Liaocheng Women and Children Hospital from June 2018 to June 2022.They were randomly assigned to FGM group(54 cases)and control group(55 cases).The FGM group wore FGM at 20,24,28 and 32 weeks of pregnancy respectively.The Con group underwent self-monitoring of blood glucose(SMBG).Both groups adjusted insulin doses based on blood glucose monitoring results.HbA1c was measured at 18 weeks and 36 weeks of pregnancy.Information related to adverse pregnancy outcomes was compared between the two groups.Results Fasting and postprandial glucose and HbA1c were significantly lower in FGM group compared with con group(P<0.05).Neonatal hypoglycemia was significantly lower in FGM group(P<0.05).There was no difference between the two groups in terms of BMI,insulin dose,gestational week of delivery,Apgar score,neonatal weight and the incidence of preeclampsia,premature delivery,polyhydramnios,cesarean section,SGA,macrosomia and postpartum hemorrhage(P>0.05).Time in range(TIR),time below range(TBR),time above range(TAR),and mean amplitude of glucose excursion(MAGE)were significantly improved at 32 weeks compared to 20 weeks in FGM group(P<0.05).Conclusions Repeated intermittent use of FGM in pregnant women with T2DM could reduce the blood glucose level and the incidence of neonatal hypoglycemia.

Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95％CI:1.11～9.48),high modified Fisher grade(OR:3.66,95％CI:1.08～12.35),shunt dependence(OR:15.56,95％CI:1.22～198.57),and cerebral vasospasm(OR:22.24,95％CI:3.08～160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95％CI:0.40～0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95％CI:0.935～0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95％CI:0.904～0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.

OBJECTIVE To explore the action mechanism of kushenol F （KSCF） in treating ulcerative colitis （UC） in mice. METHODS The potential targets of KSCF intervening in UC were predicted with network pharmacology and molecular docking. C57BL/6J mice were randomly divided by body weight into model group， positive control group （sulfasalazine， 703 mg/kg）， KSCF group （100 mg/kg）， and normal group， with 6 mice per group. The UC model of mice was induced by dextran sulfate sodium solution. During the modeling period， the mice were given relevant medicine intragastrically， once a day， for 7 consecutive days. After the last administration， the disease activity index （DAI） of the mice was scored； the length of the mice’s colon was measured； pathological changes in the colon tissue of mice were observed； the levels of lipopolysaccharide （LPS） in serum， myeloperoxidase （MPO）， nitric oxide （NO） and superoxide dismutase （SOD） in the colon were detected in mice； the expression levels of occludin and ZO-1 in colon tissue of mice were detected； the proportions of CD3+T， CD4+T， and CD8+T lymphocytes in the spleen and the ratio of CD4+/CD8+ were detected； changes in colonic microbiota were analyzed by 16S rDNA sequencing. RESULTS Results of network pharmacology indicated that KSCF may treat UC by regulating signaling pathways such as phosphatidylinositol-3 kinase/protein kinase B （PI3K/AKT） and nuclear factor kappa B （NF- κB）. Molecular docking results showed that KSCF bound most stably with NF-κB p65 protein. Animal experiment results demonstrated that， compared with the model group， the pathological characteristics of colon tissue in mice were improved in KSCF group. DAI scores， serum levels of LPS， the levels of MPO，NF-κB p65 phosphorylation and NLRP3 protein expression in the colon， and the proportion of CD8+T lymphocytes in the spleen were reduced significantly （P＜0.05）. Body weight， SOD levels， expression levels of occludin and ZO-1 in the colon， proportions of CD3+T and CD4+T lymphocytes， and the CD4+/CD8+ ratio in the spleen were significantly increased （P＜0.05）； the abundance of Firmicutes， Actinobacteria， Akkermansia， and Lactobacillus genera were increased， while Proteobacteria decreased； the microbial community structure tended towards that of the normal group. CONCLUSIONS KSCF alleviates UC by restoring intestinal microbial imbalance， enhancing immune response， and inhibiting colonic inflammatory responses， thereby improving intestinal barrier integrity.

A 52-year-old female patient diagnosed with hereditary cerebral small vessel disease(CSVD),with clinical manifestations of recurrent stroke and mild cognitive impairment was reported.There was no history of hypertension or diabetes,and her maternal grandparents were consanguineous.Her maternal grandmother and mother died of cerebral infarction.Cranial magnetic resonance imaging showed multiple lacunar cerebral infarcts,cerebral white matter degeneration and microhemorrhagic foci,and whole exome sequencing reported a heterozygous mutation c.947A＞G in the high-temperature requirement A serine peptidase 1(HTRA1).For patients with CSVD,the family history should be asked,and for patients with suspected hereditary CSVD,the possibility of HTRA1 heterozygous mutations should be considered.Reasonable use of genetic testing methods to screen high-risk families of CSVD patients and further guide treatment.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

Objective:To evaluate artificial intelligence constructed by deep convolutional neural network (DCNN) for the site identification in upper gastrointestinal endoscopy.Methods:A total of 21 310 images of esophagogastroduodenoscopy from the Cancer Hospital of Chinese Academy of Medical Sciences from January 2019 to June 2021 were collected. A total of 19 191 images of them were used to construct site identification model, and the remaining 2 119 images were used for verification. The performance differences of two models constructed by DCCN in the identification of 30 sites of the upper digestive tract were compared. One model was the traditional ResNetV2 model constructed by Inception-ResNetV2 (ResNetV2), the other was a hybrid neural network RESENet model constructed by Inception-ResNetV2 and Squeeze-Excitation Networks (RESENet). The main indices were the accuracy, the sensitivity, the specificity, positive predictive value (PPV) and negative predictive value (NPV).Results:The accuracy, the sensitivity, the specificity, PPV and NPV of ResNetV2 model in the identification of 30 sites of the upper digestive tract were 94.62%-99.10%, 30.61%-100.00%, 96.07%-99.56%, 42.26%-86.44% and 97.13%-99.75%, respectively. The corresponding values of RESENet model were 98.08%-99.95%, 92.86%-100.00%, 98.51%-100.00%, 74.51%-100.00% and 98.85%-100.00%, respectively. The mean accuracy, mean sensitivity, mean specificity, mean PPV and mean NPV of ResNetV2 model were 97.60%, 75.58%, 98.75%, 63.44% and 98.76%, respectively. The corresponding values of RESENet model were 99.34% ( P<0.001), 99.57% ( P<0.001), 99.66% ( P<0.001), 90.20% ( P<0.001) and 99.66% ( P<0.001). Conclusion:Compared with the traditional ResNetV2 model, the artificial intelligence-assisted site identification model constructed by RESENNet, a hybrid neural network, shows significantly improved performance. This model can be used to monitor the integrity of the esophagogastroduodenoscopic procedures and is expected to become an important assistant for standardizing and improving quality of the procedures, as well as an significant tool for quality control of esophagogastroduodenoscopy.

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

Objective To understand the characteristics of long-working hours exposure of medical staff,and analyze the impact of long-working hours exposure on mental health problems such as occupational stress,depression,fatigue accumulation,and insomnia.Methods The cluster random sampling method was used to select the medical staff of 12 tertiary general hospitals in Guangdong Province as the research subjects,and the"Core Scale of Occupational Stress Measurement"and other scales were used to evaluate their occupational mental health.Results The average working hours of medical staff per day were(8.99±2.18)h;2,094 people were exposed during long working hours,accounting for 78.96%.The results of binary logistics regression analysis showed that after excluding the influence of sociodemographic factors such as age,long working hours(weekly working hours greater than 40 h)were the risk factors for occupational stress,depressive symptoms and fatigue accumulation of medical staff(P<0.01),and the longer the working week,the higher the risk of occupational stress,depressive symptoms and fatigue accumulation.Weekly working hours greater than 48 hours are risk factors for insomnia(P<0.01).Conclusion Long working hours are common among delivery workers on food delivery platforms,and long working hours are a risk factor for occupational tension and fatigue.