Guided by the theory of latent pathogens， it is believed that the basic pathogenesis of adult-onset Still's disease is the latent pathogens in the deep yin level. The onset of the disease is fundamentally characterized by the deficiency of both qi and yin as the root， with dampness， heat， phlegm， and blood stasis as the branch， which triggered by intruding pathogens activate the latent pathogens in yin level. The treatment focuses on nourishing yin and dispersing heat as the key therapeutic method. It is proposed that clearing and resolving dampness-heat， expelling pathogens outward， dispersing the latent pathogens， reinforcing healthy qi and consolidating the root， boosting qi and nourishing yin as treatment idea. In clinic， Qinghao Biejia Decoction （青蒿鳖甲汤） could be used as the basic formula， and modified with characteristic herb pairs such as Qinghao （Artemisia annua） - Digupi （Lycium chinense） to enrich yin and clear heat， and enforce the power of clearing deficient heat； Biejia （Lawsonia inermis） - Xuchangqing （Vincetoxicum mukdenense） to enrich yin and activate blood， unblock the collaterals and dissipate masses； Duhuo （Angelica biserrata） - Mudanpi （Paeonia × suffruticosa） to dispel wind and activate blood， resolve dampness and unblock the collaterals， so as to clear and warm simultaneously， and regulate qi and blood at the same time； and Chuanshanlong （Dioscorea nipponica） - Difuzi （Bassia scoparia） to dissolve stasis and dispel phlegm， explore and dispel latent pathogens.

OBJECTIVE: To investigate the current status of kinesiophobia after lumbar fusion surgery in patients with lumbar disc herniation (LDH) and to analyze its influencing factors. METHODS: A total of 489 LDH patients who underwent lumbar fusion surgery in our hospital from January 2021 to December 2022 and effectively filled out the tampa scale for kinesiophobia (TSK) and other questionnaires on the first day after surgery were collected as the study subjects, the current status of kinesiophobia in LDH patients after lumbar fusion surgery were investigated using the TSK. The LDH patients were grouped into a kinesiophobia group (n=221) and a non kinesiophobia group (n=268) based on whether there was kinesiophobia after lumbar fusion surgery. The self-designed general data questionnaires were used to collect data, and Logistic regression was applied to analyze independent risk factors for kinesiophobia after lumbar fusion surgery in the LDH patients. RESULTS: In the study, 221 out of the 489 LDH patients (45.19%) had kinesiophobia after lumbar fusion surgery. Univariate analysis showed that there were statistically significant differences between the phobic group and the non phobic group in terms of gender, education level, course of disease, whether there was hypoproteinemia, pain level, self-efficacy, social support, whether there was anxiety, and whether there was depression (P < 0.05). There were no statistically significant differences in terms of age, body mass index, monthly family income, marital status, residence, medical expense payment form, whether there was hypertension, whether there was diabetes, whether there was cardiovascular and cerebrovascular disease, whether there was respiratory disease, whether there was surgery experience, whether there was anemia, work conditions, and responsibility segments (P>0.05). Male (95%CI: 3.289-10.586, P < 0.001), education level below undergraduate level (95%CI: 6.533-45.162, P < 0.001), severe pain (95%CI: 10.348-72.025, P < 0.001), moderate pain (95%CI: 6.247-37.787, P < 0.001), low self-efficacy (95%CI: 4.238-15.095, P < 0.001), and medium self-efficacy (95%CI: 2.804-8.643, P < 0.001) were influencing factors for kinesiophobia after lumbar fusion surgery in the patients with LDH (P < 0.05). CONCLUSION The incidence of kinesiophobia after lumbar fusion surgery in patients with LDH is high, and its influencing factors include gender, education level, pain level, and self-efficacy.
Humans ; Spinal Fusion/psychology* ; Intervertebral Disc Displacement/psychology* ; Lumbar Vertebrae/surgery* ; Male ; Female ; Middle Aged ; Phobic Disorders/etiology* ; Surveys and Questionnaires ; Adult ; Risk Factors ; Aged ; Fear ; Kinesiophobia

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

ObjectiveBidirectional and two-sample Mendelian randomization（MR） method was used to investigate the bidirectional causal relationship between constipation and pneumonia and to understand the potential relationship between the two diseases from a new perspective， providing new targets for future treatment strategies. MethodConstipation and pneumonia datasets were selected from the genome-wide association study（GWAS） website for the European population in 2021. The data related to constipation included 411 623 samples， and the single nucleotide polymorphism（SNP） data were 24 176 599. The pneumonia data contained 480 299 samples with a number of SNPs of 24 174 646. In this study， inverse variance weighting（IVW） was adopted as the main analysis method of MR， supplemented by weighted median method， simple model， weighted model and MR-Egger regression analysis results， and sensitivity analysis was performed to evaluate the robustness of the results. ResultSeventeen SNPs highly correlated with constipation and 12 SNPs highly correlated with pneumonia were finally included. IVW analysis results of forward MR analysis showed that constipation increased the risk of pneumonia｛odds ratio（OR）=1.143， 95% confidence interval（CI）［1.045， 1.249］， P=0.003｝， MR-Egger regression， simple model， weighted model and weighted median analysis all supported the result（P<0.05）. IVW analysis by reverse MR analysis showed that pneumonia did not increase the risk of constipation｛OR=1.138， 95%CI［0.974， 1.329］， P=0.103｝， MR-Egger regression， simple model， weighted model and weighted median analysis also supported this result. ConclusionThe bidirectional and dual-sample MR analysis method is used to confirm the causal relationship between constipation and pneumonia from the perspective of genetic variation， while there is no obvious causal relationship on the contrary. This study will be helpful for the clinical diagnosis and treatment of constipation and pneumonia， and provide a reference for the study of the pathogenesis between the two.

Objective:To investigate the feasibility of predicting the risk of spontaneous preterm birth in singleton pregnancy women with low risk of preterm birth by transabdominal-transvaginal ultrasound cervical length sequential screening in the second trimester.Methods:This prospective longitudinal cohort study included singleton pregnant women at 11-13 +6 gestational weeks who were admitted to Nanjing Drum Tower Hospital from January 2023 to September 2023. Transabdominal and transvaginal cervical lengths were measured during the mid-trimester fetal ultrasound scan at 18-24 weeks, and pregnancy outcomes were obtained after delivery. A short cervix was defined as a transvaginal cervical length of ≤25 mm, and the outcomes were defined as spontaneous preterm birth occurs between 20 and 36 +6 weeks and extremely preterm birth before 32 weeks. The area under the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of predicting spontaneous preterm birth by transabdominal and transvaginal cervix length, as well as the effectiveness of predicting short cervix by transabdominal cervical length. The relationship between transabdominal and transvaginal cervical length was evaluated using a scatter plot. Results:A total of 562 cases were included in this study, comprising 33 cases of spontaneous preterm birth (7 cases occurring before 32 weeks) and 529 cases of term birth. (1) Compared to the term birth group, transabdominal cervical length (median: 37.6 vs 33.2 mm; Z=-3.838, P<0.001) and transvaginal cervical length (median: 34.0 vs 29.9 mm, Z=-3.030, P=0.002) in the spontaneous preterm birth group were significantly shorter. (2) The areas under the ROC curve for predicting spontaneous preterm birth by transabdominal and transvaginal cervical length were 0.699 (95% CI: 0.588-0.809) and 0.657 (95% CI: 0.540-0.774), respectively. The sensitivity, specificity and positive predictive value of transvaginal cervical length Conclusions:In singleton pregnancy women with low risk of preterm birth, transabdominal-transvaginal cervical length sequential screening can reduce unnecessary transvaginal ultrasounds by approximately 41% without missing the diagnosis of pregnant women with a short cervix. This method also enhances the effectiveness of transvaginal cervical length to spontaneous preterm birth.

Objective:To investigate the clinical characteristics of cases with different congenital pulmonary airway malformations (CPAM) volume ratios (CVR) and the effect of maternal glucocorticoid treatment during pregnancy on CPAM.Methods:A retrospective study was conducted on 56 singleton pregnant women with fetal CPAM diagnosed prenatally in the Department of Obstetrics and Gynecology at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, from September 2020 to May 2023. Among these, three cases received maternal glucocorticoid treatment during pregnancy and clinical conditions were reported in detail. Statistical analyses were performed using independent sample t-tests, non-parametric tests, Chi-square tests, or Fisher's exact test. Results:(1) General information: The average age of the 56 pregnant women with CPAM fetuses was (32.0±0.7) years. All fetuses had unilateral lesions, with 25 cases (44.6%) on the left side. Types Ⅰ, Ⅱ, and Ⅲ CPAM accounted for 5.4% (3/56), 50.0% (28/56), and 44.6% (25/56), respectively. Fetal hydrops occurred in two cases, and the maximum CVR during the fetal period for the other 54 non-hydropic fetuses was 0.79±0.66. (2) The CVR threshold for the risk of fetal hydrops was set as the mean maximum CVR of non-hydropic CPAM fetuses plus 2 standard deviations (0.79+2×0.66=2.1). The subjects were divided into two groups based on the maximum CVR during the fetal period: CVR≤2.0 group ( n=50) and CVR>2.0 group ( n=6). Comparison between the CVR>2.0 group and CVR≤2.0 group: The CVR>2.0 group had significantly higher rates of fetal hydrops [2/6 vs. 0.0% (0/50), Fisher's exact test], mediastinal shift [5/6 vs. 32.0% (16/50), χ 2=4.03], polyhydramnios [6/6 vs. 4.0% (2/50), Fisher's exact test], and postnatal surgery [4/5 vs. 22.2% (10/45), continuity correction χ 2=4.86] (all P<0.05). None of the fetuses with CVR≤2.0 had hydrops or received intrauterine intervention. The overall live birth rate was 89.3% (50/56). (3) Maternal glucocorticoid treatment during pregnancy: three of six fetuses with CVR>2.0 were treated with maternal glucocorticoid during pregnancy, and all were delivered alive at term after the intervention with resolution of edema and/or reduction in mass size. Two of them were treated with postnatal thoracoscopic surgery and were followed up to 5 and 14 months of age, respectively, with no abnormalities in feeding and development; the other was not treated surgically until 3 months of age, with no respiratory-related symptoms and no abnormalities in feeding and development. Conclusions:Prenatal ultrasound indicating CVR>2.0 is associated with increased rates of fetal hydrops, mediastinal shift, and polyhydramnios. Maternal glucocorticoid treatment during pregnancy may lead to favorable pregnancy outcomes for these CPAM fetuses.

Objective:To construct an intelligent endoscopic image analysis system that could monitor the blind spot of the upper gastrointestinal tract, and to test its performance.Methods:A total of 87 167 upper gastrointestinal endoscopy images (dataset 1) including 75 551 for training and 11 616 for testing, and a total of 2 414 pharyngeal images (dataset 2) including 2 233 for training and 181 for testing were retrospectively collected from the Digestive Endoscopy Center of Renmin Hospital of Wuhan University between 2016 to 2020. A 27-category-classification model for blind spot monitoring in the upper gastrointestinal tract (model 1, which distinguished 27 anatomical sites such as the pharynx, esophagus, and stomach) and a 5-category-classification model for blind spot monitoring in the pharynx (model 2, which distinguished palate, posterior pharyngeal wall, larynx, left and right pyriform sinuses) were constructed. The above models were trained and tested based on dataset 1 and 2, respectively, and trained based on the EfficientNet-B4, ResNet50 and VGG16 models of the keras framework. Thirty complete upper gastrointestinal endoscopy videos were retrospectively collected from the Digestive Endoscopy Center of Renmin Hospital of Wuhan University in 2021 to test model 2 blind spot monitoring performance.Results:The cross-sectional comparison results of the accuracy of model 1 in identifying 27 anatomical sites of the upper gastrointestinal tract in images showed that the mean accuracy of EfficientNet-B4, ResNet50, and VGG16 were 90.90%, 90.24%, and 89.22%, respectively, with the EfficientNet-B4 model performance the best, and the accuracy of EfficientNet-B4 model for each site ranged from 80.49% to 97.80%. The cross-sectional comparison results of the accuracy of model 2 in identifying the 5 anatomical sites of the pharynx in the images showed that the mean accuracy of EfficientNet-B4, ResNet50, and VGG16 were 99.40%, 98.56%, and 97.01%, respectively, in which the EfficientNet-B4 model had the best performance, and the accuracy of EfficientNet-B4 model for each site ranged from 96.15% to 100.00%. The overall accuracy of model 2 in identifying the 5 anatomical sites of the pharynx in the video was 97.33% (146/150).Conclusion:The intelligent endoscopic image analysis system based on deep learning can monitor blind spots in the upper gastrointestinal tract, coupled with pharyngeal blind spot monitoring and esophagogastroduodenal blind spot monitoring functions. The system shows high accuracy in both images and videos, which is expected to have a potential role in clinical practice and assisting endoscopists to achieve full observation of the upper gastrointestinal tract.

Background:Pancreatic exocrine insufficiency(PEI)after gastrectomy can lead to weight loss,diarrhea,abdominal distension,fat malabsorption and other symptoms,which seriously affects patients'quality of life.Aims:To investigate the incidence of PEI after gastrectomy and the efficacy of pancreatic enzyme replacement therapy(PERT).Methods:Studies on PEI after gastrectomy and/or efficacy of PERT were retrieved from PubMed,Embase,Web of Science,CNKI,Wanfang Data and VIP databases from the date of database establishment to January 2024.Two researchers independently screened the literature,extracted data,and assessed the risk of bias about included studies.Meta-analysis was conducted by Stata 12.0 software.Results:A total of 16 studies involving 974 patients were included in the meta-analysis,of which 14 studies reported the incidence of PEI after gastrectomy,and 2 studies reported the efficacy of PERT.The incidence of PEI after gastrectomy was 43.8%(95%CI:0.295-0.585).Subgroup analysis showed that the incidence of PEI after gastric cancer surgery was 82.1%(95%CI:0.541-0.991),the incidence of PEI in patients underwent total gastrectomy with Roux-en-Y reconstruction and partial gastrectomy with Billroth Ⅱ reconstruction were 60.4%(95%CI:0.489-0.719)and 63.5%(95%CI:0.511-0.759),respectively,and the incidence of PEI after bariatric surgery with billiopancreatic diversion with duodenal switch(BPD/DS)was 67.3%(95%CI:0.542-0.804).Early intervention of PERT after total gastrectomy could reduce fecal fat content at 24 hours(SMD=-1.24,95%CI:-1.56--0.91,P<0.001)and 72 hours(SMD=-1.41,95%CI:-1.74--1.07,P<0.001),and the number of patients with 24-hour fecal fat content＞7 g(OR=0.21,95%CI:0.09-0.53,P=0.001).Conclusions:PEI is common after gastrectomy,and clinicians should pay more attention on it,especially in gastric cancer patients undergoing gastrectomy,Roux-en-Y reconstruction after total gastrectomy,Billroth Ⅱ reconstruction after partial gastrectomy and bariatric surgery with BPD/DS.Fat malabsorption caused by PEI in patients after total gastrectomy can be improved by PERT.

Objective To investigate the causal association between bronchial asthma and bone mineral density at different sites using a two-sample Mendelian randomization (MR) approach. Methods Summary data for exposure factors and outcome were obtained from different genome-wide association studies.Single nucleotide polymorphisms strongly associated with bronchial asthma were selected as instrumental variables,and those in linkage disequilibrium were excluded.The inverse-variance weighted (IVW) method was used as the primary method for MR analysis,complemented by weighted median,simple mode,weighted mode,and MR-Egger regression methods.Sensitivity analyses were conducted to assess the stability of the results. Results The random-effects model of IVW analysis showed that heel bone mineral density (OR=0.986;95% CI,0.974 to 0.998;P=0.023) as the outcome dataset had a reverse causal effect with bronchial asthma,while lumbar spine bone mineral density (OR=1.031;95% CI,0.984 to 1.081;P=0.195),femoral neck bone mineral density (OR=1.014;95% CI,0.973 to 1.057;P=0.505),and forearm bone mineral density (OR=1.011;95% CI,0.935 to 1.094;P=0.775) as outcome datasets showed no causal effect with bronchial asthma.The MR-Egger intercept test results indicated that the P-values for the intercepts of lumbar bone mineral density,femoral neck bone mineral density,forearm bone mineral density,and calcaneal bone mineral density were all over 0.05,suggesting no horizontal pleiotropy and relatively stable results. Conclusion MR analysis reveals a reverse causal effect between bronchial asthma and heel bone mineral density,suggesting that clinicians should strengthen the monitoring of heel bone mineral density in patients with bronchial asthma to timely detect and intervene osteoporosis.

Objective:To analyze the cost-effectiveness of a relatively mature artificial intelligence (AI)-assisted diagnosis and treatment system (ENDOANGEL) for gastrointestinal endoscopy in China, and to provide objective and effective data support for hospital acquisition decision.Methods:The number of gastrointestinal endoscopy procedures at the Endoscopy Center of Renmin Hospital of Wuhan University from January 2017 to December 2019 were collected to predict the procedures of gastrointestinal endoscopy during the service life (10 years) of ENDOANGEL. The net present value, payback period and average rate of return were used to analyze the cost-effectiveness of ENDOANGEL.Results:The net present value of an ENDOANGEL in the expected service life (10 years) was 6 724 100 yuan, the payback period was 1.10 years, and the average rate of return reached 147.84%.Conclusion:ENDOANGEL shows significant economic benefits, and it is reasonable for hospitals to acquire mature AI-assisted diagnosis and treatment system for gastrointestinal endoscopy.