ObjectiveTo elucidate the potential mechanisms by which the classic prescription Anmeidan alleviates cognitive impairment in insomnia model rats through metabolic profiling. MethodsA total of 60 SD rats were randomly divided into six groups： blank group， model group， low-， medium-， and high-dose Anmeidan groups， and the Suvorexant group， with 10 rats in each group. Except for the blank group， the insomnia model was established in all other groups via intraperitoneal injection of para-chlorophenylalanine. The Suvorexant group was administered Suvorexant solution （30 mg·kg^-1·d^-1） by gavage， while the low-， medium-， and high-dose Anmeidan groups received Anmeidan decoction （4.55， 9.09， 18.18 g·kg^-1·d^-1） by gavage. The blank group received an equivalent volume of normal saline. The open field test was used to assess spatial exploration and anxiety/depressive-like behaviors in rats. Serum levels of epidermal growth factor （EGF）， brain-derived neurotrophic factor （BDNF）， and vasoactive intestinal peptide （VIP） were measured using enzyme-linked immunosorbent assay （ELISA）. Untargeted metabolomics was employed to identify differential metabolites in rat serum， and systematic biological methods were applied to analyze the potential targets and pathways of Anmeidan. ResultsCompared to the blank group， the model group exhibited significant reductions in total distance traveled， average speed， number of entries into the central area， time spent in the central area， and frequency of upright events （P<0.01）， along with significant decreases in VIP， EGF， and BDNF levels （P<0.05，P<0.01）. A total of 100 differential metabolites were identified between the model and blank groups. Compared to the model group， the low-， medium-， and high-dose Anmeidan groups showed significant increases in total distance traveled， average speed， number of entries into the central area， time spent in the central area， and frequency of upright events （P<0.05，P<0.01）， as well as a significant increase in VIP levels （P<0.05，P<0.01）. Anmeidan significantly reversed abnormal changes in 67 metabolites compared to the model group. A combined analysis identified 134 potential targets of Anmeidan， with network topology analysis suggesting that Caspase-3， B-cell lymphoma 2 （Bcl-2）， nuclear transcription factor-κB （NF-κB）， interleukin-1β （IL-1β）， interleukin-2 （IL-2）， matrix metalloproteinase-9 （MMP-9）， and Toll-like receptor 4 （TLR4）， among others， may serve as key targets of Anmeidan. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis revealed major enriched pathways， including the cyclic adenosine monophosphate （cAMP） signaling pathway， hypoxia inducible factor-1 （HIF-1） signaling pathway， and IL-17 signaling pathway. ConclusionThis study demonstrates that Anmeidan can recalibrate abnormal metabolic profiles in insomnia model rats to mitigate cognitive impairment， with its mechanisms of action potentially involving the regulation of immune-inflammatory responses， energy metabolism， and apoptosis-related pathways.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.

BackgroundPrevious studies have found that patients with generalized anxiety disorder （GAD） have impaired performance in executive function， and group cognitive behavioral therapy （CBT） has been shown to be effective in alleviating negative affect in patients with GAD， while its efficacy on executive function remains unclear. ObjectiveTo explore the efficacy of group CBT on anxiety symptom and executive function in GAD patients， so as to provide references for the rehabilitation program for GAD. MethodsA total of 80 consecutive patients with GAD who were hospitalized in Sleep and Psychosomatic Medical Center of Shiyan Taihe Hospital from March 2021 to August 2022 and met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） diagnostic criteria for GAD were enrolled， and they were assigned into study group （n=40） and control group （n=40） using random number table methods. All patients were subjected to routine medication treatment and regular health education， based on this， study group received group CBT once a week （6 weeks， 60 to 90 minutes per session）. At the enrollment and after 6 weeks of treatment， patients were assessed using Hamilton Anxiety Scale （HAMA） and Frontal Assessment Battery （FAB）. ResultsANOVA with repeated measures on HAMA score revealed a significant time effect （F=1 870.320， P<0.01）， no significant group effect and no significant time×group interaction effect （F=1.254， 0.293， P>0.05）. Significant time effect， group effect and time×group interaction effect were reported on FAB scores （F=311.190， 4.399， 7.021， P<0.05 or 0.01）. Further analysis indicated that FAB scores of both groups after treatment were higher than those at baseline （t=200.569， 115.401， P<0.01）.And the FAB score of study group was higher than that of control group after treatment （t=-3.211， P<0.01）. ConclusionGroup CBT combined with medication treatment for GAD may alleviate the anxiety symptoms and improve executive function in GAD patients. ［Funded by Shiyan Science and Technology Bureau Pilot Scientific Research Project （number， 21Y21）］

Sleep deprivation refers to the loss of sleep caused by self-inflicted or external factors. There is increasing evidence that pregnancy is prone to sleep deprivation, which not only disrupts maternal functions but also affects offspring′s cognitive function. This article reviews the effects of sleep deprivation during pregnancy on offspring cognition and its underlying mechanisms, in order to establish a foundation for developing scientifically sound sleep strategies during pregnancy and to provide clinical insights for improving the neurodevelopment and cognitive function of offspring.

OBJECTIVE To systematically review the efficacy and safety of ticagrelor versus clopidogrel in CYP2C19 loss-of-function carriers with mild ischemic stroke or transient ischemic attack(TIA). METHODS Databases such as PubMed, Embase, the Cochrane Library, CNKI, and Wanfang were systematically searched, and the search period was from database establishment to June 2022. Two reviewers independently screened literature, extracted data, and evaluated the methodological quality of the included studies. Meta-analysis was performed using RevMan 5.3 software. RESULTS A total of 2 studies with 7 087 patients were included. Compared with clopidogrel, ticagrelor reduced the incidence of stroke[RR=0.78, 95%CI(0.66−0.93), I2=0%, P=0.007] and vascular event[RR=0.78, 95%CI(0.66−0.91), I2=0%, P=0.002] in patients with mild ischemic stroke or TIA carrying the CYP2C19 loss-of-function allele. The incidence of any bleeding[HR=2.18, 95%CI(1.66−2.85)] and minor bleeding[HR=2.41, 95%CI (1.81−3.20)] in the ticagrelor-aspirin group was higher than that in the clopidogrel-aspirin group, and dyspnea (1.2% vs 0.2%, P<0.001) and arrhythmias(1.7% vs 0.8%, P=0.001) were more common in the ticagrelor-aspirin group than in the clopidogrel-aspirin group. There was no significant difference in the incidence of severe bleeding between the two groups. CONCLUSION Compared with clopidogrel, ticagrelor reduces the incidence of stroke and vascular events in patients with mild ischemic stroke or TIA carrying the CYP2C19 loss-of-function allele, and did not increase the risk of severe bleeding. However, the ticagrelor group had a higher incidence of minor bleeding, dyspnea and arrhythmias.

Objective To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases. Methods A total of 1 003 slides of Enterobius vermicularis, horkworm, Trichuris trichiura, Clonorchis sinensis, Taenia, Ascaris lumbricoides, Schistosoma japonicum, Paragonimus westermani and Fasciolopsis buski eggs were collected, and converted into digital images with an automatated scanning microscope to create a dataset. Based on the Object Detection platform on the Baidu Easy DL model, an AI-assisted platform for detection of parasite eggs was created through procedures of uploading, labeling, training, evaluation and optimization. Then, 70% of the datasets were randomly selected for model training, and the precision, recall and average accuracy were calculated to evaluate the effectiveness of platform for recognition of parasite eggs. In addition, the platform was deployed on the computer and smart phone terminals for use. Results An AI-assisted platform for detection of parasite eggs was successfully created. If the platform was deployed using the public cloud application programming interface (API), the average accuracy, precision and recall of the platform were 93.42%, 92.55% and 89.32% for recognition of parasite eggs. If the platform was deployed using the offline software development kit (SDK), the average accuracy, precision and recall of the platform were 92.97%, 94.78% and 87.63% for recognition of parasite eggs. In addition, the precision of the platform was 97.00% and 96.23% for identification of Taenia and C. sinensis eggs, respectively. Conclusions The AI-assisted platform for detection of parasite eggs has been successfully created, which is high in the accuracy for recognition of parasite eggs and convenient in use. This platform may provide a powerful technical support for parasitic disease diagnosis.

ObjectiveTo evaluate the effect and safety of Jiuxin Pill （救心丸） on exercise tolerance and quality of life in patients with stable angina pectoris （SAP）. MethodsA randomised， double-blind， placebo-controlled， multicentre study design was used to enroll 170 patients of SAP from nine centres， which were divided into 85 patients each in the trial group and control group with 1∶1 ratio. Both groups maintained the original western medicine treatment plan， and added Jiuxin Pill or placebo respectively， 2 pills （0.05 g） each time twicely for 28 days. The main outcomes were total exercise time （TED） in the exercise treadmill test and Seattle Angina Questionnaire （SAQ） scores including physical limitation （PL）， angina stability （AS）， angina frequency （AF）， treatment satisfaction （TS）， and disease perception （DP）. The secondary outcomes were exercise treadmill test indicators including heart rate recovery in 1 min （HRR1）， metabolic equivalents （METs）， maximum magnitude of ST-segment depression， and the Borg rating of perceived exertion scale， the average number of angina attacks per week， withdrawal and reduction rate of nitroglycerin， traditional Chinese medicine syndrome scores， incidence of major adverse cardiovascular events. Safety indicators were evaluated and the occurrence of adverse events during the trial was recorded. Data was collected before treatment， day 28±2 in treatment period， and follow-up at day 56 which is 28±2 days after treatment period finished. ResultsEighty-four and eighty-five patients respectively from trial group and control group were included to the full analysis set （FAS） and safety analysis set （SS）. Compared with the group before treatment and with the control group after treatment， the trial group had higher TED， HRR1， and METs， and lower maximum magnitude of ST-segment depression and Borg rating of perceived exertion scores after treatment （P＜0.01）. Compared with the group before treatment and with the control group after treatment and at follow-up， the total SAQ score and scores of AS， AF， TS and DP of the trial group after treatment and at follow-up elevated， while the average number of angina attacks per week and traditional Chinese medicine syndrome scores reduced （P＜0.01）. There was no statistically significant difference in the withdrawal and reduction rate of nitroglycerin between groups （P＞0.05）. Major adverse cardiovascular events occurred in 1 case （1/84， 1.19%） in the trial group and 1 case （1/85， 1.18%） in the control group， and the difference between groups was not statistically significant （P＞0.05）. A total of 3 cases of adverse events occurred in the trial group （3/84， 3.57%）， and a total of 6 cases of adverse events occurred in the control group （6/85， 7.06%）， and there was no statistically significant difference in the incidence of adverse events between groups （P＞0.05）. ConclusionIn the treatment of SAP， Jiuxin Pill combined with conventional western medicine can further enhance exercise tolerance， improve quality of life， and demonstrate great safety.

Objective To analyze the clinical manifestations and epidemiological characteristics of influenza in Hubei. Methods Pharyngeal swab specimens from 16,500 patients with suspected influenza infection admitted to our hospital from January 2020 to December 2022 were selected. Viral detection and serotyping were performed by fluorescence quantitative polymerase chain reaction. Furthermore, the epidemiological and clinical data of patients were collected to analyze the clinical features and epidemiological characteristics of influenza viruses. Results A total of 16 500 clinical specimens were tested in this study, with a positive detection rate of 16.27% (2 684/16 500). The positive detection rate was 5.10% (862/16 500) for influenza A virus, 10.13% (1 672/16 500) for influenza B virus and 0.91% (150/16 500) for mixed influenza. The positive detection rate of influenza viruses was on the rise from 2020 to 2022 , reaching 18.43% in 2022. Seasonal distribution analysis denoted that the highest positive detection rates were observed in spring (18.23%) and winter (19.72%), with statistical difference (P<0.05). In terms of age distribution, patients<12 years (19.14%) had the highest positive detection rate, followed by those >60 years (17.71%), with statistical difference (P<0.05). From 2020 to 2022, the positive detection rate of influenza virus was 16.89% in males, which was higher than 15.63% in females (P<0.05). The main clinical symptoms were fever (86.89%) and cough (80.27%) for influenza A virus infections, cough (92.52%) and fever (86.06%) for influenza B virus infections, and cough (94.00%), fever (88.00%) and runny nose (86.00%) for mixed infections. Conclusion The influenza B viruses are the leading cause of influenza in Hubei from 2020 to 2022, and the infection demonstrates an increasing annual trend, with a high prevalence in winter and spring. Furthermore, children and the elderly are high-risk populations, and clinical manifestions are mainly cough and fever.