Objective To analyze the detection efficiency of p16INK4a protein combined with human papillomavirus and liquid-based cytology(LCT)in the screening of cervical precancerous lesions,and to provide a basis for cervical cancer preven-tion and treatment.Methods The results of p16INK4a staining of cervical epithelial cells,human papillomavirus testing and cer-vical cytology were analyzed in 139 inpatients at Guangzhou Women's and Children's Medical Center between January 2019 and December 2020.Of them,there were 111 patients with cervical intraepithelial neoplasia(CIN)and 28 cases of cervical inflam-matory disease.The efficacy of the three methods alone and in combination to screen for CIN lesions was compared.Results In the detection of CIN patients,the sensitivity of p16INK4a,microfluidic microarray and cervical cytology for detecting CIN and a-bove lesions was 91.89% ,94.59% and82.88% ,with specificity of 57.14% ,17.86% and46.43% ,and AUC of 0.75,0.56 and 0.65,respectively;while the sensitivity of"p16INK4a+LCT","p16INK4a+hrHPV","LCT+hrHPV"and their sen-sitivity were 96.40% ,97.30% ,94.59% and 99.10% ,their specificity was 85.71% ,92.86% ,89.29% and 92.86% ,and the AUC was 0.91,0.95,0.92 and 0.96,respectively.Conclusion The combined p16INK4a and hrHPV test helps to improve diagnostic accuracy and early detection,thus allowing for earlier intervention or treatment.This combined application allows for more accurate identification of low-grade and high-grade cervical intraepithelial neoplasia,providing more information for indi-vidualized patient management.

Based on the theory of "mutual interference of clear and turbid Qi" in Huangdi Neijing（《黄帝内经》）， this study explored the pathogenesis of spleen and stomach diseases and the therapeutic effects of Banxia Xiexintang on them. It suggested that "mutual interference of clear and turbid Qi" represents a pathological state of Yin and Yang disturbance and imbalance in Qi circulation due to the mixture of clear and turbid Qi， which can elucidate the pathogenesis of spleen and stomach diseases. According to this theory， the pathogenesis of spleen and stomach diseases was summarized as Qi disorder in spleen and stomach， disharmony between Ying Qi and Wei Qi， and conflict between cold and heat. Banxia Xiexintang， as a crucial prescription for treating spleen and stomach diseases， achieves its therapeutic effects by dispersing stagnation with pungent flavor， descending adverse Qi with bitterness， regulating Ying Qi and Wei Qi， and harmonizing cold and heat. By regulating Qi circulation， balancing internal and external factors， and addressing deficiency and excess， it can rectify the pathological state of "mutual interference of clear and turbid Qi" of spleen and stomach diseases. Modern research reveals that Banxia Xiexintang can modulate gastrointestinal motility， restore mucosal immune barrier function of the digestive system， and exhibit optimal therapeutic effects when combined with both cold-cool and warm-hot medicines， aligning with its therapeutic role under the theory of "mutual interference of clear and turbid Qi". By delving into the essence of the "mutual interference of clear and turbid Qi" theory and exploring the pathogenesis of spleen and stomach diseases and the therapeutic effects of Banxia Xiexintang based on this theory， this study further elucidated the inherent connection between spleen and stomach diseases and the "mutual interference of clear and turbid Qi" theory， offering insights and theoretical references for the clinical diagnosis and treatment of spleen and stomach diseases.

The purpose of this study was to investigate the damage mechanism of pathogenic E.coli on mouse brain microvascular endothelial cells(BMEC cells)and mouse alveolar macrophages(MH-S cells),as well as the lung and brain of healthy mice.In this study,BMEC cells and MH-S cells were infected with pathogenic E.coli strains,and cell morphological changes were observed.Plate counting method was used to detect the adhesion and invasion ability of the strains to cells and the number of bacteria in the lungs and brains of mice.RT-qPCR was used to detect the ex-pression of TNF-α,IL-1β and IL-6 genes in cells and mouse organs at different time periods.West-ern blot was used to detect the expression of p-NF-κB,p-JAK2 and p-STAT3 proteins related to inflammation in cells and mouse organs after infection.The results showed that the cell culture medium of the infection group was turbid,the cell vision became dark and blurred,some cells shrank and died,and more fragments were produced.The adhesion rate and invasion rate of BMEC cells at 3 h were significantly lower than those at 6 h(P＜0.050),and the adhesion rate and inva-sion rate of MH-S cells at 3 h were significantly higher than those at 6 h(P＜0.010).Infected mice had a large area of swelling and bleeding in the brain,and the lungs had different degrees of swell-ing and bleeding.The bacterial load in the brain and lung was the highest at 12 h.Compared with the control group,the mRNA expression levels of IL-1β,IL-6 and TNF-α in the infection group were significantly increased at 3 h and 6 h(P＜0.050),and the mRNA expression levels of inflam-matory factors in BMEC cells and MH-S cells were the highest at 6 and 3 h,respectively.The mR-NA expression of inflammatory factors in the brain and lung of infected mice showed a trend of in-creasing first and then decreasing with time,with the highest expression at 12 h after infection.The expression levels of p-NF-κB protein in BMEC cells,MH-S cells,lung and brain tissues of mice in the infection group were significantly higher than those in the control group(P＜0.001),and the expression levels of p-JAK2 protein and p-STAT3 protein were significantly lower than those in the control group(P＜0.050).The above results showed that pathogenic E.coli could adhere and invade BMEC cells and MH-S cells,colonize in lung and brain tissues of mice,promote the expres-sion of NF-κB protein in cells and tissues,inhibit the expression of JAK2 protein and STAT3 pro-tein,and then stimulate cells and tissues to produce inflammatory response.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

ObjectiveTo explore the risk factors of stroke， and to provide reference for the prevention and health management of stroke. MethodsFrom February 2022 to March 2022， four community residents over 60 years old with stroke in Shanghai were randomly selected as the case group （n=100）， and non-stroke residents were selected as the control group （n=100）. The survey was in the form of questionnaires to record and compare the age， body mass index （BMI）， blood lipids， blood pressure-related indicators， family history of other diseases， living habits， mood and sleep conditions of all subjects. The value of predicting the incidence of stroke among the elderly in Shanghai community was analyzed by receiver operating characteristic （ROC）， and the influencing factors of stroke were analyzed by logistic model. ResultsBMI， hypertension， heart disease， diabetes， transient ischemic attack （TIA）， dyslipidemia， family history of stroke， smoking， lack of exercise or only light physical labor， SBP， DBP， TG levels were significantly higher in the case group （P<0.05）. The level of HDL-C was significantly lower than that in the control group （P<0.05）. BMI， SBP， DBP， TG， HDL-C predicted the incidence of stroke by ROC analysis （P<0.05）. Logistic regression analysis showed that BMI≥23.820 kg·m^-2， heart disease， diabetes， TIA， dyslipidemia， family history of stroke， smoking， lack of exercise or only light physical labor， SBP≥139.535 mmHg， DBP≥89.605 mmHg， TG≥1.565 mmol·L^-1 and HDL-C≤1.105 mmol·L^-1 were risk factors for stroke （P<0.05）. ConclusionPhysical health status including blood lipids and blood pressure， family history of certain diseases， and living habits could be important risk factors for stroke in the elderly in Shanghai community. Preventive intervention measures for the above factors have important clinical significance.

Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.

Objective:To evaluate association of peripheral blood brain-derived neurotrophic factor (BDNF) with Alzheimer's disease (AD) .Methods:Databases including Pubmed, Cochrane library, Web of science, Embase, China National Knowledge Infrastructure, CBM disc, VIP-CSTJ and Wanfang Data were used to collect case-control studies related to the concentration of BDNF in peripheral blood of dementia patients with Alzheimer's type(DAT) and mild cognitive impairment(MCI). After extracting data and appraising the quality of the included studies, meta-analysis were conducted using Review Manager 5.3 and CMA 3.0.Results:A total of 51 articles were included in the analysis, with a total subjects of 7 182, including 2 673 subjects in DAT group, 1 506 subjects in MCI group, and 3 003 subjects in control group.The Meta-analysis showed that the levels of peripheral blood BDNF in patients with DAT were significantly lower than normal control group(SMD=-0.71, 95% CI : -0.99--0.43, P<0.001) ( n=5 111), and there were no statistical differences in peripheral blood BDNF levels between MCI group and control group and between DAT group and MCI group.The subgroup analysis showed that the level of serum BDNF in patients with DAT (SMD=-0.85, 95% CI: -1.15--0.55, P<0.001)( n=4 425) and MCI(SMD=-0.38, 95% CI: -0.62--0.14, P=0.002)( n=2 476) was significantly lower than that in normal control group, and the level of serum BDNF (SMD=-0.76, 95% CI: -1.37--0.16), P=0.01)( n=1 630) in patients with DAT was lower than that in MCI; However, there were no statistical difference among DAT, MCI and control groups in the level of plasma BDNF( P>0.05). Conclusion:The patients with DAT and mild cognitive impairment have lower level of serum BDNF, which suggesting that serum BDNF level may be a potential biomarker for early diagnosis of AD.

Objective:To analyze the prognostic factors and evaluate the accuracy of existing survival prediction models in patients with lung cancer-derived spinal metastases who have undergone open surgery.Methods:According to the inclusion criteria, the data of 76 patients with spinal metastasis of lung cancer who underwent open surgery in the department of Orthopedics in Guangdong Provincial People's Hospital were collected from January 2019 to November 2021. The relationship between the number of bone metastasis, pathological type, visceral metastasis, epidermal growth factor receptor mutation, serum alkaline phosphatase (ALP), hemoglobin (Hb), Frankel grade and postoperative survival time in 76 cases was analyzed by Cox logical regression analysis and Kaplan-Meier method to determine the potential prognostic factors. The accuracy of Tomita score, Tokuhashi revised score, Katagiri New score, New England Spinal Metastasis Score score (NESMS) and Skeletal Oncology Research Group (SORG) machine learning algorithm in predicting postoperative survival time was verified by drawing receiver operating characteristic (ROC) curve.Results:The median follow-up time of the patients was 18.0 months (2.3-36.0 months). The median survival time was 12.6 months [95% CI (10.8, 14.4)]. The survival rates at 6 and 12 months after operation were 71.6% and 52.0%, respectively. Multivariate regression analysis showed that ALP [ HR=0.23, 95% CI (0.11, 0.48), P<0.001], Hb [ HR=4.48, 95% CI (2.07, 9.70), P< 0.001] and EGFR mutation [ HR=2.22, 95% CI (1.04, 4.76), P=0.040] were independent predictors of prognosis. The accuracy of Tomita score, Tokuhashi revised score (2005), Katagiri New score and NESMS score in predicting 1-year mortality was 58.7%, 65.7%, 70.5% and 65% respectively, and the accuracy in predicting 6-month mortality was 63.7%, 62.2%, 61.2% and 56.8% respectively. The accuracy of SORG machine learning algorithm in predicting 1-year and 90 d mortality was 81.1%, 67.5%, respectively. Conclusion:No EGFR mutation, ALP>164 U/L and Hb≤125 g/L were risk factors affecting the survival of patients with spinal metastasis of lung cancer. SORG machine learning algorithm has good accuracy in predicting the postoperative survival rate of patients with lung cancer spinal metastasis.

Objective:To explore the application value of metagenomics sequencing in the etiological diagnosis of bacterial meningitis(BM) in children and improve the diagnosis and treatment effect of BM in children.Methods:All BM cases were collected from Jiangxi Provincial Children′s Hospital from February 1, 2018 to January 31, 2020.Meanwhile, such biological samples as blood and cerebrospinal fluid were collected for traditional etiological testing and metagenomics sequencing.The results of traditional etiological testing were regarded as the gold standard, and the specificity and sensitivity of metagenomics sequencing in the diagnosis of BM in children were confirmed.Results:A total of 45 cases were collected in this study, including 31 males and 14 females, with the age between (74.74 ± 58.67) months.Twenty-six cases were identified by metagenomics sequencing, with the positive rate being 57.78%.Among them, there were 8 cases of Streptococcus pneumoniae, 2 cases of Escherichia coli, 2 cases of Neisseria meningitidis, 2 cases of Staphylococcus, 2 cases of Salmonella, 2 cases of Mycobacterium multiplex, 1 case of Streptococcus intermedius, 1 case of Streptococcus pyogenes, 1 case of Streptococcus paris, 1 case of Streptococcus salivarius, 1 case of Haemophilus influenzae, 1 case of Pseudomonas aeruginosa, 1 case of Acinetobacter baumannii, and 1 case of Aspergillus.The traditional etiological positive rate was 17.78%, and the metagenomic next-generation sequencing (mNGS) positive rate was 57.78% ( P=0.014, kappa=0.273). As per the comparison results, the sensitivity, specificity, positive predictive value, negative predictive value, Youden index and misdiagnosis rate were 100.00%, 51.35%, 30.76%, 100.00%, 51.36%, 48.64% and 0, respectively. Conclusions:Metagenomics examination had high sensitivity, which can improve the etiological diagnosis rate of acute BM in children, especially in case of high clinical suspicion of infection.Therefore, metagenomics examination should be selected as early as possible when the etiology cannot be determined by traditional approaches.

OBJECTIVE: To investigate the complications of tourniquet in the clinical application of lower tibiofibular fracture. METHODS: From June 2018 to September 2019, 33 cases of closed lower tibiofibular fractures (AO type 43A) were treated with plates and screws and were divided into two groups according to whether pueumatic tourniquet was used:16 cases in the observation group, 13 males and 3 females, aged 18 to 69 (38.8±17.0) years, the operation time after injury was (6.9±1.7) days, and tourniquet was not used during operation. There were 17 cases in the control group, 13 males and 4 females, aged from 21 to 71 (43.8±12.4) years, the operation time after injury was (6.5±1.0) days, automatic pneumatic tourniquetwas routinely used in the operation. The operation time, blood loss, postoperative swelling, pain and other complications were compared between two groups. RESULTS: Total of 33 patients were followed up for an average of 15 months. There was no significant difference in operation time and blood loss between two groups ( CONCLUSION The fracture of lower tibiofibular segment is superficial and easy to be exposed and fixed during operation. In order to avoid tourniquet complications, it is not recommended to use air bag tourniquet routinely or minimize the application time of tourniquet.
Adolescent ; Adult ; Aged ; Female ; Fracture Fixation, Internal ; Fractures, Bone/surgery* ; Humans ; Male ; Middle Aged ; Operative Time ; Retrospective Studies ; Tourniquets ; Treatment Outcome ; Young Adult