Objective: To examine the associations between three adipokines (omentin-1, nesfatin-1 and apelin) and diabetic retinopathy (DR) among patients with type 2 diabetes mellitus (T2DM), so as to provide the basis for the prevention and control of DR. Methods: The T2DM patients hospitalized in Lishui TCM Hospital from August 2021 to May 2023 were selected and divided into three groups: no diabetic retinopathy (NDR) group, non-proliferative diabetic retinopathy (NPDR) group, and proliferative diabetic retinopathy (PDR) group based on fundus fluorescein angiography. Data on gender, age, and course of T2DM were collected through questionnaires, and serum omentin-1, nesfatin-1, apelin, and related blood biochemical indicators were measured. The associations of omentin-1, nesfatin-1 and apelin with DR were analyzed using a multinomial logistic regression model. Results: A total of 150 T2DM patients were enrolled, including 58 cases in the NDR group, 60 cases in the NPDR group, and 32 cases in the PDR group, with males accounting for 60.34%, 45.00% and 68.75%, respectively. The mean ages were (54.79±14.40), (57.03±12.20) and (57.72±10.70) years, respectively. The median (interquartile range) courses of T2DM were 7.00 (7.75), 10.00 (8.00) and 10.00 (5.00) years, respectively. Compared with the NDR group, the NPDR group had lower levels of omentin-1 and nesfatin-1 and higher level of apelin, while the PDR group had higher level of omentin-1 and lower level of apelin (all P<0.05). Compared with the NPDR group, the PDR group had higher levels of omentin-1 and nesfatin-1 and lower level of apelin (all P<0.05). Multinomial logistic regression analysis showed that omentin-1 level was statistically associated with NPDR (OR=0.503, 95%CI: 0.291-0.871) and PDR (OR=7.862, 95%CI: 2.956-20.910); nesfatin-1 (OR=0.971, 95%CI: 0.953-0.989) and apelin (OR=3.266, 95%CI: 1.817-5.868) levels were statistically associated with NPDR. Conclusion Serum levels of omentin-1, nesfatin-1 and apelin were associated with different stages of DR among T2DM patients.

Acute-on-chronic liver failure （ACLF） is a complex clinical syndrome， and early identification and accurate prognostic evaluation are of great importance for patient treatment and management. In recent years， with in-depth research on the pathogenesis of ACLF， multiple prognostic biomarkers have been proposed and used in clinical practice. This article systematically reviews the research advances in prognostic biomarkers for ACLF from the aspects of clinical predictive models， immunological biomarkers， metabolic biomarkers， genetic and epigenetic biomarkers， microbiome-related biomarkers， and emerging technologies such as artificial intelligence and multi-omics， and it also discusses the value and application prospects of these biomarkers in the prognostic evaluation of ACLF and proposes future research directions， in order to provide a scientific and comprehensive reference for clinicians， guide individualized treatment and management of ACLF patients， and finally improve the clinical outcomes of patients.

Heart failure is the terminal stage of various cardiovascular diseases and a leading cause of death. For a long time, natural medicines have been used to treat heart failure（HF） with remarkable effects. In this paper, the Traditional Chinese Medicine compound patents in the national patent database were mined, common Traditional Chinese Medicines for the clinical treatment of HF were selected, and the single active ingredient contained in them was analyzed, which provided some valuable tips for the development of drugs for the treatment of heart failure.

YE Tianshi possessed a comprehensive theoretical system and extensive therapeutic experience in the treatment of warm disease caused by latent pathogenic qi,all of which was recorded in his medical records.YE Tianshi elucidated the characteristics of the pathogenesis of the three types of warm disease caused by latent pathogenic qi,namely spring warmth,summer heat,and winter warmth,and explained the pathogenesis of latent pathogenic qi from the perspective of vital qi and pathogen,and pointed out that the weakness of vital qi and the pathogenic qi led to the concealment of pathogenic qi,and that the struggle between vital qi and pathogen led to the onset of latent pathogenic qi.In the treatment,YE Tianshi emphasized the importance of clearly identifying the level of qi and blood in the internal organs where the latent pathogenic qi is located,and focused on the syndrome differentiation of weifen,qifen,yingfen,and xuefen,and combined with the syndrome differentiation of zang-fu viscera,the principle and method of treatment and medication law of warm disease caused by latent pathogenic qi were formulated.Although warm disease caused by latent pathogenic qi is a heat syndrome,YE Tianshi also attached importance to the deficiency and excess of yang qi,pointed out that latent pathogenic qi had the possibility of transforming into cold syndrome,and discussed the rules of medication for cold latent pathogenic qi in the spleen,kidney,and eight extraordinary meridians.YE Tianshi's treatment of warm disease caused by latent pathogenic qi not only emphasizes the nourishment of yin,but also emphasizes clearing qi and blood,and the circulation of qi in order to clear and penetrate the evil qi;he also pays attention to the sanjiao transmission of the latent pathogenic evil.The study of the law of YE Tianshi's differentiation and treatment of warm disease caused by latent pathogenic qi may provide ideas for the clinical treatment of COVID-19,as well as diseases in various disciplines.

Objective To evaluate the effectiveness and safety of Yiyang Pill in preventing and treating cardiovascular adverse reactions in patients with traditional Chinese medicine(TCM)syndrome with qi and yin deficiency and thyroid stimulating hormone(TSH)inhibition after differentiated thyroid cancer(DTC)resection.Methods A randomized,double-blind,placebo-controlled clinical trial was conducted,and 120 patients with TSH inhibition after DTC surgery were enrolled and randomized into two groups in a 1∶1 ratio using SAS 9.4 software generated random tables.The control group received a placebo and TSH suppression therapy,whereas the treatment group received the Yiyang Pill and TSH suppression therapy.The treatment period was 3 months.The incidence of cardiovascular adverse reactions,blood pressure,blood lipids,thyroid function,the dosage of levothyroxine,the efficacy of TCM syndrome,and safety indicators were compared between the two groups.Multivariate Logistic regression was used to analyze the influencing factors of cardiovascular adverse reactions.Results The incidence of cardiovascular adverse reactions in the treatment group was lower than that in the control group(P<0.05),and the efficacy of TCM syndrome treatment was significantly higher than in the control group(P<0.05).The free tetraiodothyronine level in the treatment group was higher than that before treatment(P<0.05),and the systolic and diastolic blood pressure in the control group increased compared to those before treatment(P<0.05).No severe adverse events were observed in either group.Compared with the control group,the cardiovascular incidence in the treatment group was lower,and the cardiovascular incidence in the<100 μg/d group was lower than that in the group with≥100 μg/d before treatment.Conclusion The Yiyang Pill can reduce the incidence of cardiovascular adverse reactions in patients after DTC surgery,effectively improve TCM syndromes,and be safe to use.Yiyang Pill treatment is a protective factor for cardiovascular adverse reactions,and the dosage of levothyroxine≥100 μg/d was a risk factor.

Objective:To predict and analyze the number of acute pancreatitis (AP) inpatients based on time series model, and to explore the predictive efficiency of the model.Methods:Clinical data of AP inpatients in the Affiliated Hospital of Southwest Medical University from January 2014 to December 2019 were collected. R software was used to collect the time series of AP inpatients, and the trend and seasonal characteristics of AP inpatients from 2014 to 2018 were analyzed. Furthermore, the autoregressive moving average (ARIMA) model was established through stationarity test, model ordering and model testing steps, and the best selected model was used to predict the monthly number of inpatients in 2019 to verify its prediction efficiency.Results:A total of 3 939 AP patients were included in the study. The most common etiology for AP was cholestrogenic (48.2%), followed by hyperacylglyceremia (36.3%). The peak age of hospitalization was from 40 to 60 years old. Time series analysis showed that the number of AP inpatients increased year by year. The highest peak of the disease was from February to March, followed by September to November; and there was seasonal variation and the incidence was relatively small in summer. The established original training set sequence did not pass the stationarity test ( P=0.061), so the ARIMA model was established after it was transformed into a stationarity sequence by first-order difference. According to the criterion of minimum AIC value, ARIMA(2, 1, 1)(1, 1, 1) 12 was selected as the best model. The model was used to predict the number of AP inpatients in 2019, showing that it could better fit the trend of onset time and had good short-term prediction effect. The mean root error and absolute error were 6.8790 and 4.7783, respectively. Conclusions:The number of AP inpatients increases year by year with seasonal changes. ARIMA model is effective in predicting the number of AP inpatients and can be used for short-term prediction.

Abstract Allergic diseases can occur in all systems of the body, covering the whole life cycle, from children to adults and to old age, can be lifelong onset and even fatal in severe cases. Children account for the largest proportion of the victims of allergic disease, Children s allergies start from scratch, ranging from mild to severe, from less to more, from single to multiple systems and systemic performance, so the prevention and treatment of allergic diseases in children is of great importance, which can not only prevent high risk allergic conditions from developing into allergic diseases, but also further block the process of allergy. At present, there is no consensus on the management system of allergic children in kindergartens and primary schools. The "Consensus on Allergy Management and Prevention in Kindergartens and Primary Schools", which includes the organizational structure, system construction and management of allergic children, provides evidence informed recommendations for the long term comprehensive management of allergic children in kindergartens and primary schools, and provides a basis for the establishment of the prevention system for allergic children.

Objective To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a source of Schistosoma japonicum infection. Methods Oncomelania hupensis snail-infested marshlands around the Poyang Lake area were selected as the study area. Image datasets of the study area were captured by aerial photography with UAV and subjected to augmentation. Cattle in the sample database were annotated with the annotation software VGG Image Annotator to create the morphological recognition labels for cattle. A model was created for intelligent recognition of livestock based on deep learning-based Mask R-convolutional neural network (CNN) algorithms. The performance of the model for cattle recognition was evaluated with accuracy, precision, recall, F1 score and mean precision. Results A total of 200 original UAV images were obtained, and 410 images were yielded following data augmentation. A total of 2 860 training samples of cattle recognition were labeled. The created deep learning-based Mask R-CNN model converged following 200 iterations, with an accuracy of 88.01%, precision of 92.33%, recall of 94.06%, F1 score of 93.19%, and mean precision of 92.27%, and the model was effective to detect and segment the morphological features of cattle. Conclusion The deep learning-based Mask R-CNN model is highly accurate for recognition of cattle based on UAV images, which is feasible for remote intelligent recognition, monitoring, and management of the source of S. japonicum infection.

Objective: To explore the direct⁃on⁃target micro⁃droplet growth assay (DOT⁃MGA) for rapid detection of the susceptibility of tigecycline and polymyxin. Methods: A total of 67 strains of Klebsiella pneumoniae were collected for DOT⁃MGA. 6 μl droplets with or without tigecycline or polymyxin (The final drug concentration is 2 μg/ml) were added in triplicate into the wells of the MALDI plate with four incubation time points (3 h ,4 h ,6 h , and 8 h) . The results were classified as susceptible (score < 1. 7) and non⁃susceptible (score≥1 . 7) according to the Bruker Biotype software Results: After incubation for 4 h , the growth efficiency, specificity and positive predictive value of tigecycline and polymyxin were both 100. 00% . The classification consistency rate was 98. 15% and 96. 15% , the sensitivity was 96. 30% and 92. 31% , and the negative predictive value was 96. 45% and 92. 86% , respectively. Conclusion DOT⁃MGA can provide rapid and reliable drug susceptibility diagnosis of tigecycline and polymyxin ,which is of great significance for the clinical anti⁃infective treatment.

Objective To investigate the predictive value of depth of invasion (DOI) of tongue squamous cell carcinoma (TSCC) for cervical lymph node metastasis and prognosis. Methods We retrospectively analyzed the clinical and pathological data of 73 patients with T_1/2 TSCC. ROC curve was used to determine the optimal cut-off value of DOI for predicting cervical lymph node metastasis, and logistic regression analysis was performed to analyze the related factors affecting cervical lymph node metastasis of TSCC. Kaplan-Meier method and Cox regression analysis were used for survival analysis. Results Among 73 patients, 18 patients were with lymph node metastasis and 55 patients were without lymph node metastasis. The median DOI with and without lymph node metastasis were 8.00 and 5.00 mm, respectively (P=0.003). The optimal cut-off value for DOI was 6.15 mm, with AUC 0.75 (95%CI: 64.1%~87.1%, P=0.001), sensitivity 77.8% and specificity 63.6%. DOI and pathological differentiation were independent prognostic factors for cervical lymph node metastasis in multivariate analysis. DOI, nerve invasion and pathological differentiation were independent prognostic factors of survival in Cox regression analysis. Conclusion DOI of TSCC patients has important predictive value for both cervical lymph node metastasis and prognosis. Neck lymph node dissection is recommended for patients with DOI > 6.15 mm to improve survival rate and reduce recurrence rate.