Objective:To investigate the serum levels of miR-19b and miR-744-5p in patients with non-small cell lung cancer (NSCLC), and to analyze the clinical value of miR-19b and miR-744-5p in the diagnosis of NSCLC.Methods:A total of 226 NSCLC patients (NSCLC group) and 100 healthy people (control group) admitted to Jilin Cancer Hospital from August 2019 to August 2022 were selected as research objects. Quantitative real-time PCR was used to measure and compare the serum levels of miR-19b and miR-744-5p between the NSCLC group and the control group, and the relationships between the two indicators and different clinical and pathological characteristics of NSCLC patients were analyzed. The receiver operating characteristic curve was used to analyze the clinical value of miR-19b, miR-744-5p and their joint detection in the diagnosis of NSCLC.Results:Compared with the control group, the serum miR-19b level (3.86±1.25 vs. 1.06±0.41) in the NSCLC group significantly increased ( t=21.87, P<0.001), while the miR-744-5p level (1.80±0.48 vs. 5.75±1.69) significantly decreased ( t=32.36, P<0.001). The serum miR-19b levels in NSCLC patients with pathological types of adenocarcinoma, maximum tumor diameter ≥3 cm, medium to low differentiation, stage Ⅲ-Ⅳ, and with lymph node metastasis were higher than those in squamous cell carcinoma ( t=5.94, P<0.001), maximum tumor diameter <3 cm ( t=2.65, P=0.009), well differentiation ( t=4.33, P<0.001), stageⅠ-Ⅱ ( t=12.32, P<0.001), patients without lymph node metastasis ( t=8.13, P<0.001), while miR-744-5p levels were lower than those in squamous cell carcinoma ( t=8.27, P<0.001), tumor maximum diameter <3 cm ( t=5.34, P<0.001), well differentiation ( t=6.95, P<0.001), stageⅠ-Ⅱ ( t=11.40, P<0.001), patients without lymph node metastasis ( t=10.36, P<0.001). The area under the curve (AUC) of serum miR-19b combined with miR-744-5p in the diagnosis of NSCLC was 0.914 (95% CI: 0.841-0.959), with sensitivity and specificity of 90.9% and 84.0%, respectively. AUC was significantly than that of the single indicator detection of miR-19b (AUC=0.824, 95% CI: 0.770-0.869) and miR-744-5p (AUC=0.783, 95% CI: 0.709-0.838) ( Z=2.28, P=0.021; Z=2.36, P=0.017) . Conclusion:Serum miR-19b level of NSCLC patients is increased, miR-744-5p levels is decreased, and joint detection of serum miR-19b and miR-744-5p has high clinical value in the diagnosis of NSCLC.

Objective To explore the correlation between neutrophil-to-lymphocyte ratio(NLR)and Behcet's disease(BD)activity.Methods A total of 103 BD patients were divided into the low activity group(0-4,61 cases)and the high activity group(5-11,42 cases)according to electronic medical record-based disease activity index(EMRAI)score.The white blood cell(WBC),neutrophil(NEU),lymphocyte(LY),platelet(PLT),red blood cell(RBC),hemoglobin(Hb),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),IgG,IgA,IgM,complement C3 and C4 were detected.NLR and platelet-to-lymphocyte ratio(PLR)were calculated.The correlation between NLR,PLR and ESR,CRP,EMRAI were analyzed.Logistic regression was used to analyze the influencing factors of BD disease activity.Receiver operating characteristic(ROC)curve was drawn to evaluate the effectiveness of NLR in judging BD disease activity.Results WBC,NEU,PLT,ESR,CRP,NLR,PLR,complement C3 and C4 in patients were higher in the high activity group than those in the low activity group(P＜0.05),and there were no significant differences in other indexes(P＞0.05).NLR was positively correlated with ESR,CRP and EMRAI in the whole group,while PLR was positively correlated with ESR,CRP and EMRAI in the whole group(P＜0.05).Logistic regression analysis showed that high NLR was a risk factor for BD disease activity(OR=1.511,95%CI:1.080-2.113,P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of NLR in evaluating BD disease activity was 0.706(95%CI:0.603-0.809).Conclusion NLR is effective in judging the disease activity of BD patients,and can be used as a biological index to evaluate the disease activity of BD.

Purpose To evaluate the diagnostic value of Chinese thyroid imaging reporting and data system(C-TIRADS)and American thyroid association(ATA)guidelines in papillary thyroid carcinoma(PTC).Materials and Methods A total of 259 patients(339 nodules)with definite pathological results after thyroid nodule surgery in the 909th Hospital of the Joint Logistic Support Force(the Affiliated Southeast Hospital of Xiamen University)from July 2019 to May 2021 were divided into benign thyroid nodule group(150 cases,210 nodules)and PTC group(109 cases,129 nodules).General data and nodule ultrasonographic characteristics of the two groups were retrospectively analyzed.Nodules were classified by the two guidelines,and were compared with surgical pathological results,the receiver operating characteristic curve was drawn to evaluate the diagnostic value of the two guidelines for PTC.Results There were statistically significant differences between the two groups in the malignant ultrasonographic features of"solid,blurred/irregular edges or extrathyroid invasion,verticality,low or very low echo,microcalcification"(χ2=123.67,132.71,103.82,4.58,137.93,all P<0.05),and most commonly seen in the PTC group.Unlike C-TIRADS,61 nodules were not clearly classified in the ATA guidelines,accounting for 17.99%(61/339).The areas under the curves of C-TIRADS and ATA guidelines were 0.952(0.924-0.972)and 0.942(0.911-0.964),with no statistically significant differences(Z=0.943,P=0.346).The optimal cutoff values of the two groups were 4b and highly suspicious malignancy,and the sensitivity,specificity and accuracy were 0.930(120/129)vs.0.822(106/129),0.857(180/210)vs.0.943(198/210),0.885(300/339)vs.0.897(300/339),respectively.There were significant differences in sensitivity and specificity(χ2=6.99,8.57,both P<0.01),C-TIRADS had the highest sensitivity,ATA guidelines had the highest specificity,but there was no significant difference in accuracy(χ2=0.24,P=0.622).Conclusion Both C-TIRADS and ATA guidelines may be highly effective in the diagnosis of PTC,but C-TIRADS can be applied to the ultrasonographic manifestations of all thyroid nodules,and is less affected by the clinical experience of sonographers,so it is easier to be promoted in clinical practice.

The syndrome/pattern of defensive qi deficiency is a common basic syndrome of traditional Chinese medicine in clinical practice. However,there is a lack of standardized and operable diagnostic specifications in practical applications. Based on the previous literature,this study proposed the idea of starting from the elements of the syndrome,qualitative diagnostic criteria for the syndrome/pattern of defensive qi deficiency oriented to the entire region of the disease were constructed based on the two dimensions of " deficient defensive qi failing to consolidate the exterior" and " qi deficiency" and constructing a set of quantitative evaluation criteria as the supporting content for the diagnostic items. The core members of the research group attempted to formulate the draft standard,then reached a consensus through the Delphi method expert questionnaire consultation and the Nominal group technique,and finally evaluated the reliability and validity of the standard through clinical verification to provide ideas for the standardization and normalization of research on syndromes.

Objective To analyze the use of Chinese patent medicines containing toxic decoction pieces in Hohhot Mongolian Medicine of Traditional Chinese Medicine Hospital;To provide the basis and early warning for the monitoring of rational medication.Methods The prescriptions of oral Chinese patent medicines containing toxic decoction pieces issued by the outpatient and emergency department of Hohhot Mongolian Medicine of Traditional Chinese Medicine Hospital from January 1,2018 to May 31,2023 were extracted.Chinese Pharmacopoeia(2020 Edition)was used to classify the classification of toxic decoction pieces,and unreasonable usage was analyzed.Results A total of 15 083 prescriptions of Chinese patent medicines containing toxic decoction pieces were extracted,and 15 760 cases were used,including 24 kinds of Chinese patent medicines containing toxic decoction pieces.813 cases were used unreasonably,accounting for 5.16%,of which 642 cases were used excessively,accounting for 78.97%of the irrational cases.There were 217 cases of Chinese patent medicines of TCM decoction pieces containing heavy toxin,including 214 cases of excessive use,accounting for 98.62%.Unreasonable applications mainly focused on orthopedics,thyroid diseases,rheumatism and emergency medicine.Conclusion The excessive use of Chinese patent medicines containing toxic decoction pieces in our hospital is prominent,with potential safety hazards.Clinical pharmacists should start from prescription reviews,provide feedback to physicians,and explore the monitoring of rational medication.They should intervene in drug prescriptions that have obvious toxicity or are prone to adverse reactions,discuss corresponding standardized measures,in order to use drugs reasonably and avoid artificially controlled adverse reactions or poisoning situations.

Objective To explore a method to improve the accuracy and generalization ability of medical diagnostic neural network models under conditions of small data volumes,and to address the issue of poor neural network model performance in computer-aided diagnosis of nail diseases due to limited training data.Methods A dual-model strategy integrating instance segmentation with fine-grained feature classification was proposed.The neural network model based on dual-model strategy was trained using the dataset of Image-Based Intelligent Diagnosis of Nail Disease Model task of the first National Digital Health Innovation Application Competition & Health and Medical Big Data Theme Competition.This dataset covered 8 types of nail diseases,including nail matrix nevi,paronychia,nail psoriasis,onychomycosis,subungual hemorrhage,melanonychia,periungual warts,and nail melanoma,with class imbalance present.The diagnostic performance of the dual-model strategy was evaluated and compared with single-model strategies(image classification models[ResNet50 and Swin Transformer]and target detection model based on faster region-based convolutional neural network[Faster R-CNN])under the same hardware and software training conditions.Results The dataset included 1 048 samples,including 210 cases of nail matrix nevi,186 cases of paronychia,69 cases of nail psoriasis,203 cases of onychomycosis,149 cases of subungual hemorrhage,71 cases of melanonychia,93 cases of periungual warts,and 67 cases of nail melanoma,with 90％used for training various models and 10％for evaluation.The micro F1 score was 0.324 in the image classification model based on ResNet50,0.381 in the image classification model based on Swin Transformer,0.572 in the target detection model based on Faster R-CNN,and 0.714 in the dual-model strategy model Mask R-CNN+Swin Transformer.The accuracy rates for diagnosing different nail diseases in the dual-model strategy were:nail matrix nevi 80.95％(17/21),paronychia 89.47％(17/19),nail psoriasis 100.00％(7/7),onychomycosis 70.00％(14/20),subungual hemorrhage 73.33％(11/15),melanonychia 14.29％(1/7),periungual warts 55.56％(5/9),and nail melanoma 42.86％(3/7).The micro F1 score for evaluating the dual-model strategy on a test set of 1 000 cases was 0.844.Conclusion The dual-model strategy can effectively combine models with different functions to well accomplish the task of intelligent diagnosis of nail diseases under small data volume training conditions.

ObjectiveTo explore the hub genes of acute-on-chronic liver failure （ACLF） using bioinformatics methods， predict the potential traditional Chinese medicines （TCMs） against ACLF， and verify the treatment mechanism based on experiments. MethodPerl and R were used to analyze the GSE142255 dataset to obtain the differentially expressed genes （DEGs）， from which the hub genes in the protein-protein interaction of DEGs were identified by five algorithms of the CytoHubba plug-in. The receiver operating characteristic （ROC） curve and GSE168048 dataset were then used to verify the hub genes. Coremine Medical was employed to map the TCMs corresponding to the hub genes and then the natures， tastes， and meridian tropism of the TCMs were analyzed. The TCM systems pharmacology database and analysis platform （TCMSP） and DEGs were used to obtain the common targets shared by high-frequency TCMs and ACLF， and Cytoscape was used to establish the "hub gene-high-frequency TCM-active ingredient-common target" network. Furthermore， gene ontology （GO） annotation， Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis， and in vitro experiments were performed. ResultA total of 388 DEGs were obtained， in which the 7 hub genes encoded CD4 integrin subunit alpha M （ITGAM）， CD2， lymphocyte-specific protein tyrosine kinase （LCK） proto-oncogene， C-C motif chemokine ligand 5 （CCL5）， matrix metallopeptidase-9 （MMP-9）， and Fc epsilon receptor IG （FCER1G）. The TCM candidates for treating ACLF were mainly cold， bitter， and had tropism to the liver meridian， among which the high-frequency TCMs （Hedyotis Diffusae Herba， Ganoderma， and Astragali Radix） and the active ingredients （quercetin， kaempferol， and beta-sitosterol） had significant therapeutic potential. The enrichment analysis results showed that TCMs acted on multiple targets and pathways such as autophagy， oxidative stress， and inflammatory cytokines in addition to regulating hub genes. L02 cell experiments showed that the quercetin group had lower levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and malondialdehyde （MDA）， lower protein levels of ubiquitin-binding protein p62 and MMP-9， and higher levels of superoxide dismutase （SOD）， glutathione （GSH）， and microtubule-associated protein 1 light chain 3 Ⅱ/Ⅰ （LC3 Ⅱ/Ⅰ） than the D-galactosamine （D-GaLN） group （P<0.05， P<0.01）. In addition， the pretreatment with 3-methyladenine （3-MA） inhibited the activating effect of quercetin on the autophagy of L02 cells. ConclusionThe potential TCMs and active ingredients predicted based on the hub genes of ACLF have a great research value. Quercetin has the potential to treat ACLF by inhibiting the D-GaLN-induced oxidative stress and inflammatory response in L02 cells and regulating the expression of MMP-9， which may be associated with the activation of autophagy.

ObjectiveTo explore the relationship between five-state personality and Cattell's 16 personality factors. MethodsA total of 913 students recruited from Beijing University of Chinese Medicine from November 2020 to January 2021 were assessed by using the Five-state Personality Test Form and the 16 Personality Factors Questionnaire （16PF）. The five-state personality scores were compared with national norms and gender differences were examined. Additionally， a structural equation model was established and the model fit was assessed using comparative fit index （CFI）， Tucker-Lewis index （TLI）， and root mean square error of approximation （RMSEA）. The five-state personality （Taiyang， Shaoyang， Yin-yang balance， Shaoyin and Taiyin） was used as individual outcome variables while the 16PF factors was employed as predictor variables. Based on standardized parameter estimation results， we explored the relationships between the five-state personality and 16PF. ResultsA total of 913 students were recruited， and 756 valid samples were obtained after excluding unqualified questionnaires. Among these， the scores of Taiyang， Shaoyang and Taiyin in the 756 school students were significantly lower than the national norms， while the scores of Yin-yang balance was significantly higher （P＜0.05 or P＜0.01）. The scores of Taiyang， Shaoyang， Yin-yang balance and Shaoyin were significantly higher than in males compared to females （P＜0.05 or P＜0.01）. Regarding the relationship between the dimensions of five-state personality and 16PF， the model demonstrated a good fit with CFI and TLI values of 0.993 and 0.980， respectively， and an RMSEA value of 0.027. The 16PF factors， including dominance， social boldness， vigilance， rule-consciousness， tension， and emotional stability， positively predicted the Taiyang personality traits， while privateness and apprehension negatively predicted the Taiyang personality traits （P＜0.05 or P＜0.01）. For Shaoyang personality traits， factors such as liveliness， social boldness， dominance， and tension positively predicted them， while rule-consciousness， apprehension， and privateness negatively predicted Shaoyang perso-nality traits （P＜0.05 or P＜0.01）. In the case of Yin-yang balance personality traits， perfectionism， rule-consciousness， emotional stability， and self-reliance positively predicted them， while apprehension negatively predicted Yin-yang balance personality traits （P＜0.05 or P＜0.01）. Regarding Shaoyin personality traits， perfectionism， emotional stability， self-reliance， rule-consciousness， and vigilance positively predicted them， while dominance， social boldness， and liveliness negatively predicted Shaoyin personality traits （P＜0.01）. Apprehension， tension， vigilance， and self-reliance positively predicted Taiyin personality traits， while social boldness， rule-consciousness， and intelligence negatively predicted Taiyin personality traits （P＜0.05 or P＜0.01）. ConclusionThere is a significant correlation between five-state personality test and 16PF with 16PF factors capable of predicting five-state personality factors. The five-state personality demonstrates scientific validity and effectiveness.

Objective:To explore the clinical risk factors of post-transplantation diabetes mellitus (PTDM) and establish a risk prediction model in kidney recipients.Methods:The clinical data and postoperative bedside measurements of blood glucose (BG) were retrospectively reviewed for 305 renal transplant recipients at First Affiliated Hospital of Zhejiang University School of Medicine from October 2018 to August 2019.According to whether or not PTDM occurred, they were assigned into two groups of PTDM (n=34) and non-PTDM (n=271). Risk factors were screened through single/multi-factor Logistic regression and PTDM prediction model was established.Results:The incidence rate of PTDM was 11.15%(34/305). Logistic regression analysis indicated that deceased donor, age ≥40 years, female, pre-hemoglobin A1c (Pre-HbA1c) and postoperative bedside BG value ≥11.1 mmol/L were the correlated factors for the occurrence of PTDM.Among them, female ( OR=3.13, 95% CI: 1.28-7.61), Pre-HbA1c ( OR=2.05, 95% CI: 1.12-3.74) and BG ≥11.1 mmol/L at 4pm Day 2/3 post-operation ( OR=19.08, 95% CI: 4.34-83.87) were risk factors for the occurrence of PTDM, The area under the model curve was 0.86 (95% CI: 0.79-0.93) with a Jordan index of 0.65, a sensitivity of 82.8% and a specificity of 82.3%. Conclusions:Female, Pre-HbA1c and fasting BG at 4 pm Day 2/3 post-operation ≥ 11.1 mmol/L are risk factors for the occurrence of PTDM.The prediction model has a decent predictive value.It is conducive to early clinical interventions and lowering the incidence rate of PTDM.

Objective This study aimed to explore the association between blood lipid indices and bone mineral density (BMD).Methods A total of 2,396 individuals (1 198 males and 1 198 females,average age 55.24±12.12 years) who underwent physical examination between April 2015 and April 2016 at the medical examination center of the Inner Mongolia Autonomous Region People's Hospital were recruited.The blood lipid indices,including high-density lipoprotein cholesterol (HDL-C),low-density lipoprotein cholesterol (LDL-C),total cholesterol (TC),and triglycerides,were collected,and BMD at the total hip and its sub-regions was measured.The association between lipid indices and BMD was analyzed using SPSS 16.0 software,with adjustment for the covariates of age,sex,height,and weight.The association between blood lipid indices and BMD was then tested by linear regression analysis.Results Regression analysis demonstrated that in the combined sample with both sexes,HDL-C was negatively associated with total and sub-region BMD (regression coefficients,-0.11 to-0.06;all P＜0.01).LDL-C was negatively associated with femur neck BMD (regression coefficient,-0.01;P=0.01) and Ward's triangle BMD (regression coefficient,-0.01;P＜0.01).TC was negatively associated with trochanter BMD,femoral neck BMD,and Ward's triangle BMD (beta coefficients,-0.02 to-0.01;P＜0.05).In the female group,TC was positively associated with trochanter BMD (regression coefficient,0.06;P＜0.01).In the male group,both LDL-C and TC were negatively associated with femoral neck BMD (regression coefficients,-0.05 and-0.04,respectively;P＜0.05).Conclusion While blood lipid indices are associated with sub-region and total hip BMD,the association pattern and magnitude vary according to body region and sex.