[Objective] To analyze the infection status of hepatitis E virus (HEV) among blood donors in Zhengzhou, so as to provide data support for formulating local blood screening strategies. [Methods] Random samples from blood donors from January to December 2022 were tested for HEV RNA using PCR technology. Reactive samples were sequenced for gene analysis, and the donors were followed up. [Results] Among 21 311 samples, 3(0.14‰) were reactive for HEV RNA, all of whom were male. Genetic sequencing results revealed that one strong positive sample was genotype 4, while sequencing failed for the other two due to low viral load. A follow-up of 25 strong positive donors showed that ALT significantly increased on day 7 after donation, anti-HEV IgM and anti-HEV IgG turned positive. On day 21, ALT returned to normal, and on day 35, HEV RNA turned negative. Notably, anti-HEV IgM and anti-HEV IgG persisted until day 482. [Conclusion] There is HEV infection among blood donors in Zhengzhou, and it is necessary to expand the screening scope to comprehensively explore the prevalence and genotype distribution of HEV among blood donors.

[Objective] To explore the predictive value of HALP score for prognosis in patients with multiple myeloma (MM). [Methods] A retrospective analysis was conducted on laboratory indicators and related clinical data of newly diagnosed multiple myeloma (NDMM) patients, treated at the Affiliated Hospital of North Sichuan Medical College from January 2016 to October 2023, prior to their first treatment. The HALP score was calculated, and the optimal cutoff value for HALP was determined using X-tile software. Survival analysis was performed using Kaplan-Meier curves for high HALP and low HALP groups. Univariate and multivariate analyses were conducted using the Cox regression model, and a forest plot was generated using Graphpad Prism to illustrate factors that may impact patient prognosis. The predictive ability of HALP score combined with β2-microglobulin and ECOG score for prognosis in MM patients was evaluated using receiver operating characteristic curve (ROC) analysis. [Results] A total of 203 MM patients were included, with the optimal cutoff value for HALP score being 29.15 (P<0.05). Among them, 101 patients were in the low HALP score group, and 102 patients were in the high HALP score group. The results of univariate and multivariate analysis using the Cox regression model showed that a HALP score <29.15 was an independent risk factor for progression-free survival (PFS) and overall survival (OS) (P<0.05). ROC curve analysis indicated that the combination of HALP score with β2-microglobulin and ECOG score had a higher predictive value for prognosis in MM patients compared to using HALP score alone. [Conclusion] The HALP score is closely related to the prognosis of patients with NDMM. A low HALP score indicates a poorer prognosis, while the combination of HALP score with β2-microglobulin and ECOG score provides a higher predictive value when assessed together.

OBJECTIVE To establish the ultra-high performance liquid chromatography （UPLC） fingerprint of Jingtian granule， and to evaluate its quality by chemical pattern recognition. METHODS Luna® Omega Polar C18 column （150 mm×2.1 mm， 1.6 μm） was used as the chromatographic column， and acetonitrile-0.2% phosphoric acid solution was used as the mobile phase for gradient elution. The flow rate was 0.2 mL/min， the column temperature was 30 ℃， and the detection wavelength was 265 nm. With peak 16 as the reference peak， the UPLC fingerprint of Jingtian granule was established by the Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. The common peaks were identified， the similarity evaluation was carried out， and the ownership of each common peak was confirmed. Hierarchical cluster analysis （HCA） and principal component analysis （PCA） in chemical pattern recognition methods were used to classify 13 batches of samples （S1- S13）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） was used to identify the key components of the differences between different batches of samples. RESULTS RSDs of precision， repeatability and stability of the UPLC method were not more than 4.4%. A total of 25 common peaks were identified in the fingerprints of 13 batches of Jingtian granules. By comparing with the reference substance fingerprint， 10 common peaks were identified， namely peak 3 （hydroxymethyl-2-furaldehyde）， peak 5 （salidroside）， peak 8（chlorogenic acid）， peak 15 （cinnamic acid）， peak 19 （aloe-emodin）， peak 20 （ammonium glycyrrhizinate）， peak 21 （rhein）， peak 23 （emodin）， peak 24 （glycyrrhetinic acid）， peak 25 （chrysophanol）. The similarities of fingerprints of 13 batches of samples were 0.955-0.996. The results of HCA showed that 13 batches of samples could be divided into three categories， among which samples S1， S5， S7， S11-S13 were clustered in one category， S4 and S6 were clustered in one category， S2， S3 and S8-S10 were clustered in one category. PCA results showed that the cumulative variance contribution rate of principal components 1-7 was 92.666%. OPLS-DA further identified 13 differential components， which were mainly derived from Polygonati Rhizoma with wine steaming， Rhodiolae Crenulatae Radix Et Rhizoma， prepared Rhei Radix Et Rhizoma and Glycyrrhizae Radix Et Rhizome Praeparata Cum Melle. CONCLUSIONS The established UPLC fingerprint of Jingtian granule is simple， stable and reproducible. Combined with the chemical pattern recognition method， it can effectively reveal the overall quality difference between different batches of Jingtian granule. The quality of Polygonati Rhizoma with wine steaming， Rhodiolae Crenulatae Radix Et Rhizoma， prepared Rhei Radix Et Rhizoma， Dioscoreae Nipponicae Rhizoma， Polyporus， Cinnamomi Ramulus， Glycyrrhizae Radix Et Rhizome Praeparata Cum Melle is the key to the overall quality of Jingtian granule.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

OBJECTIVE To establish fingerprint， chemical pattern recognition and multi-component quantification analysis of Sanzi powder， and evaluate its quality. METHODS HPLC method was adopted. The fingerprints of 15 batches of Sanzi powder were established by using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were also conducted. The variable importance in projection （VIP） value greater than 1 was used as the index to screen the differential markers， and the contents of the differential markers were determined by the same HPLC method. RESULTS A total of 21 common peaks in the HPLC fingerprints of 15 batches of Sanzi powder were calibrated， and the similarities of them were 0.994- 0.999； 6 common peaks were identified， including gallic acid （peak 3）， garminoside （peak 10）， corilagin （peak 11）， chebulinic acid （peak 16）， ellagic acid （peak 18）， crocin Ⅰ （peak 19）. According to the results of cluster analysis， YKD2024LH005，No.YKD2023LH062） principal component analysis and orthogonal partial least squares-discriminant analysis， 15 batches of samples could be clustered into two categories： S1， S5， S7， S9， S14 were clustered into one category； S2-S4， S6， S8， S10-S13， S15 were clustered into one category. VIP values of 11 differential components such as corilagin， chebulinic acid and ellagic acid were higher than 1. Among 15 batches of samples， the contents of corilagin， chebulinic acid and ellagic acid ranged 2.667-5.152， 9.506- 13.522， 0.891-1.811 mg/g. CONCLUSIONS Established HPLC fingerprint and multi-component quantification analysis of Sanzi powder are rapid and simple， and can be used for quality evaluation of Sanzi powder by combining with chemical pattern recognition. Eleven components such as corilagin， chebulinic acid and ellagic acid are differential markers affecting the quality of Sanzi powder.

BACKGROUND:Physiotherapy is very important for the recovery after anterior cruciate ligament reconstruction.In recent years,many doctors are optimizing the physical rehabilitation program after anterior cruciate ligament reconstruction.However,there is still a lack of efficient rehabilitation training after anterior cruciate ligament reconstruction. OBJECTIVE:To investigate the effect of vibration therapy combined with suspension training on movement and knee joint function after anterior cruciate ligament reconstruction. METHODS:A total of 80 patients undergoing first unilateral anterior cruciate ligament reconstruction at the Affiliated Sport Hospital,Shanghai University of Sport were randomly divided into vibration therapy group(n=40)and vibration therapy+suspension training group(n=40).In the vibration therapy group,vibration therapy(10 minutes each,once a day,6 times per week)was performed at the 13th week after anterior cruciate ligament reconstruction.Patients in the vibration therapy+suspension training group were treated with vibration therapy(10 minutes each,once a day,6 times per week)and suspension training(twice a week)at the 13th week after anterior cruciate ligament reconstruction.Training in each group was performed for 8 weeks.Knee joint function was evaluated by knee joint Lysholm score before and 8 weeks after training.The symmetry index was evaluated by the isokinetic muscle strength evaluation training system.The balance test system was used to evaluate the average trace error difference of the bilateral multi-axes. RESULTS AND CONCLUSION:Compared with those before training,the knee Lysholm score and the knee extension and flexion symmetry indexes increased(P<0.05),and the average trace error difference decreased after training(P<0.05).Compared with the vibration therapy group,the knee Lysholm score in the vibration therapy+suspension training group increased(P<0.05),the knee extension and knee flexion symmetry index increased(P<0.05),and the average trace error difference decreased(P<0.05).To conclude,compared with vibration therapy training alone,vibration therapy combined with suspension training can significantly improve knee joint function,increase muscle strength and symmetry,and improve balance stability in patients undergoing anterior cruciate ligament reconstruction.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

ObjectiveTo evaluate the methodological quality and reporting quality of published guidelines/consensuses on traditional Chinese medicine （TCM）/integrated traditional Chinese and Western medicine diagnosis and treatment of nonalcoholic fatty liver disease （NAFLD）， and to provide a basis for formulating guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD in the future. MethodsDatabases including PubMed， Embase， Web of Science， CNKI， Wanfang Data， and CBM and the websites of China Association of Chinese Medicine and China Association of Integrative Medicine were searched for related articles published up to September 1， 2024. Two clinical researchers independently assessed the methodological quality and reporting quality of the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD by using Appraisal of Guidelines for Research and Evaluation Ⅱ （AGREE Ⅱ） and Reporting Items for Practice Guidelines in Healthcare （RIGHT）. ResultsA total of nine guidelines/consensuses were included after literature screening， with four guidelines and five expert consensuses. The scores of different domains assessed by AGREE Ⅱ for the nine guidelines/consensuses were as follows： scope and purpose （47.1%）， stakeholder involvement （41.0%）， rigor of development （21.6%）， clarity of presentation （40.2%）， applicability （19.0%）， and editorial independence （19.6%）. The recommendation level of the articles was B level （recommended after revision） for four articles and C level （not recommended） for five articles. The RIGHT assessment showed high reporting rates for “Basic Information” and “Background”， while other areas needed to be improved. Currently， there was no international standard for the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and the quality of these guidelines/consensuses needed to be enhanced to ensure comprehensiveness and credibility. ConclusionThere is still potential for improving the quality of guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and AGREE Ⅱ and RIGHT checklists should be strictly followed to ensure the fairness， scientific rigor， and transparency of these guidelines/consensuses.

OBJECTIVE To investigate the efficacy and safety of tirofiban for early neurological deterioration in patients with acute ischemic stroke. METHODS A total of 126 patients with early neurological deterioration of acute ischemic stroke who were admitted to the Department of Neurology， Heji Hospital Affiliated to Changzhi Medical College from January 2022 to December 2023 were selected and divided into observation group and control group according to random number table method， with 63 cases in each group. All patients received standardized treatment such as lipid-lowering and blood pressure-lowering therapy. Based on the standard treatment， patients in the control group additionally took Aspirin enteric-coated tablets 100 mg+Clopidogrel bisulfate tablets 75 mg orally （once a day， for 14 consecutive days）. The patients in the observation group received Tirofiban hydrochloride and sodium chloride injection based on the standardized treatment [first intravenous infusion of 0.40 μg/（kg·min） for 30 min， and then continuous intravenous infusion of 0.10 μg/（kg·min） for 47.5 h]； subsequently， patients were given Aspirin enteric-coated tablets （100 mg） and Clopidogrel bisulfate tablets （75 mg） once a day for 14 consecutive days. The clinical efficacy， the National Institutes of Health Stroke Scale （NIHSS） score， modified Rankin Scale （mRS） score， and hemorheological indexes before and after treatment were compared between the two groups， and the adverse reactions were recorded. RESULTS The total effective rate （87.30%） of the observation group was significantly higher than that of the control group （71.43%） （P＜0.05）. NIHSS scores of the two groups at 1st， 7th and 14th day after treatment， the mRS score at 90th day after treatment， and the platelet aggregation rate， whole blood viscosity， plasma viscosity and fibrinogen at 14th day after treatment were significantly lower than those before treatment in the same group， and the observation group was significantly lower than the control group at the same period （P＜0.05）. The total incidences of adverse reactions such as nausea， headache， fever， gastrointestinal bleeding， oral and nasal mucosal bleeding and thrombocytopenia in both groups of patients were 28.57% respectively， with no statistically significant difference （P＞0.05）. CONCLUSIONS For patients with early neurological deterioration in acute ischemic stroke， the addition of tirofiban can accelerate the recovery of neurological function， improve blood hyperviscosity and platelet aggregation， and improve the prognosis of patients with good safety.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.