Objective To analyze the research status and trend of scarlet fever literature in China, and to provide reference for subsequent research. Methods Three major Chinese databases, CNKI, Wanfang, and VIP, as well as Web of Science English database, were used to search for literature related to scarlet fever from 2000 to 2023. Citespace6.2.R2 software was used to statistically analyze the number of publications, authors, institutions and journals, co-cited literature, keyword clustering, and other literature characteristics of the literature. Results From 2000 to 2023, a total of 1 011 Chinese literature were included in the three major Chinese databases. Since 2011, the number of publications had gradually increased, but in recent years, the number of publications had decreased. The organization with the most publications was the Shenyang Center for Disease Control and Prevention. The cluster analysis of key words mainly formed 9 cluster tags, and the high-frequency keywords mainly included epidemic characteristics, epidemiology, incidence rate, etc. A total of 84 English literature were included in the WOS database, with an overall upward trend in publication volume. The institution with the most publications was the China Center for Disease Control and Prevention, and the most frequently cited journal was ^“LANCET INFECT DIS^”.《Resurgence of scarlet fever in China: a 13-year population-based surveillance study》 was the most cited journal. After keyword cluster analysis, 9 cluster labels were mainly formed, and the keywords were mainly outbreak，Hong Kong, and Group A streptococcus. Conclusion Compared with the English literature, which mainly focuses on spatiotemporal aggregation, etiology and strain resistance, Chinese literature focuses more on epidemic surveillance, clinical features and quality nursing.

ObjectiveTo explore the possible mechanism of Danggui Sini Granules （当归四逆颗粒） in treatment of coronary heart disease with cold congealing and blood stasis syndrome. MethodsFifty SD rats were randomly divided into a blank group， a model group， a Danshen Pill （丹参滴丸） group， and a low- and high-dosage Danggui Sini Granules group， with 10 rats in each group. Except for the blank group， the rat model of coronary heart disease with cold congealing and blood stasis syndrome was established by repeated cold stimulation at low temperature combined with intraperitoneal injection of posterior pituitary hormone in all other groups. In the 6th week of modelling， 0.073 g·kg^-1·d^-1 of compound Danshen Pill was given to the Danshen Pill group， 20.2 and 40.4 g·kg^-1·d^-1 of Danggui Sini Granules were given to the low- and high-dose Danggui Sini Granules groups， respectively， and 0.2 ml/10 g of sterile water was given to the blank group and the model group， all for 2 consecutive weeks. The general conditions of the rats were recorded， and the body mass was compared weekly. At the end of the intervention， electrocardiogram， blood rheological indexes， including whole blood low-cut viscosity， whole blood high-cut viscosity， erythrocyte aggregation index， and cardiac index were detected to evaluate the effect of the medication， and HE staining was used to observe the myocardial histopathological changes， TUNEL staining to detect the apoptotic situation of cardiomyocytes， and ELISA to detect the serum thyroid-stimulating hormone （TSH）， free triiodothyronine （FT₃）， free tetraiodothyronine （FT₄） levels and thromboxane B₂ （TXB₂）， 6-keto-prostaglandin F1α （6-Keto-PGF_1α）， endothelin 1 （ET-1）， and nitric oxide （NO） levels. ResultsCompared with the blank group at the same time point， the body mass of rats in the remaining groups decreased at all time points （P＜0.05 or P＜0.01）； compared with the model group at the same time point， the body mass of rats in high-dose Danggui Sini Granules group and Danshen Pill group increased at the 6th and 7th weeks （P＜0.05 or P＜0.01）. In the blank group， the S-T segment of the electrocardiogram was close to the isoelectric line， the myocardial structure was regular， the fibres were closely arranged， and the nuclei of the cells were intact and neatly aligned； in the model group， the S-T segment of the electrocardiogram significantly elevated， and the arrangement of the myocardial fibres was obviously disordered， with myocardial cells appearing to be swollen， necrotic， and infiltrated by inflammatory cells， and the apoptosis-positive cells of the cardiac muscle cells obviously increased； in each of the medication groups， the electrocardiogram had a lowered S-T segment， and myocardial fibres were aligned， myocyte structure and morphology were improved， inflammatory cells reduced， and the number of apoptosis-positive cells significantly reduced. Compared with the blank group， the cardiac index， whole blood high cut viscosity， whole blood low cut viscosity， erythrocyte aggregation index increased in the model group， and the serum levels of TSH， FT₃， FT₄， NO， 6-Keto-PGF_1α significantly reduced， and the levels of ET-1 and TXB₂ significantly increased （P＜0.05 or P＜0.01）. Compared with the model group， the levels of cardiac index， whole blood high cut viscosity， whole blood low cut viscosity， erythrocyte aggregation index， ET-1 and TXB₂ significantly decreased and the levels of NO and 6-Keto-PGF_1α significantly increased in each medication group， and the serum levels of TSH， FT₃， and FT₄ elevated in the high-dose Danggui Sini Granules group and Danshen Pill group （P＜0.05 or P＜0.01）. The serum TSH level of rats in the low-dose Danggui Sini Granules group was lower than that in Danshen Pill group and the high-dose Danggui Sini Granules group （P＜0.01）. ConclusionDanggui Sini Granules have the effect of alleviating myocardial injury in coronary heart disease with cold congealing and blood stasis syndrome， and its mechanism may be related to reducing myocardial cell apoptosis， improving energy metabolism， and regulating the level of vasoactive factors.

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

Objective To establish a machine learning radiomics model that can accurately predict MRI enhancement patterns of glioma based on T2 fluid attenuated inversion recovery(T2-FLAIR)images for optimizing the workflow of magnetic resonance imaging(MRI)examinations of glioma patients.Methods We retrospectively collected preoperative MR T2-FLAIR images from 385 patients with pathologically confirmed glioma,who were divided into enhancing and non-enhancing groups according to the enhancement pattern.Predictive radiomics models were established using Gaussian Process,Linear Regression,Linear Regression-Least absolute shrinkage and selection operator,Support Vector Machine,Linear Discriminant Analysis or Naive Bayes as the classifiers in the training cohort(n=201)and tested both in the internal(n=85)and external validation cohorts(n=99).The receiver-operating characteristic curve was used to assess the predictive performance of the models.Results The predictive model constructed based on 15 radiomics features using Gaussian Process as the classifier had the best predictive performance in both the training cohort and the internal validation cohort,with areas under the curve(AUC)of 0.88(95%CI:0.81-0.94)and 0.80(95%CI:0.71-0.88),respectively.In the external validation cohort,the model showed an AUC of 0.81(95%CI:0.71-0.90)with sensitivity,specificity,positive predictive value and negative predictive value of 0.98,0.61,0.76 and 0.96,respectively.Conclusion The T2-FLAIR-based machine learning radiomics model can accurately predict the enhancement pattern of gliomas on MRI.

Research integrity is the foundation for ensuring the sound and orderly development of scientific and technological innovation. As the main battlefield of clinical medical research, hospitals should effectively fulfill their main responsibilities and do a good job in research integrity management. The China Hospital Research Integrity Alliance, consisting of the first batch of 43 hospitals, was established in November 2021. With the aim of " complementary advantages, resource sharing, and collaborative development", the alliance has carried out construction practices from seven aspects: construction mode, cultural system construction, organizational management, institutional construction, publicity and education, early warning and supervision, and technological empowerment. It has achieved the overall improvement of the research integrity construction ability of member units of the alliance, organic linkage between government and medical institutions, and efficient combination of internal and external resources, which can provide reference for the research integrity construction of medical institutions in China.

BACKGROUND: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. METHODS: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. RESULTS: A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02-1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30-1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. CONCLUSIONS This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.
Beijing/epidemiology* ; China/epidemiology* ; Dysentery, Bacillary/epidemiology* ; Humans ; Humidity ; Temperature

Antrodia cinnamomea is extensively used as a traditional medicine to prevention and treatment of liver cancer. However, its comprehensive chemical fingerprint is uncertain, and the mechanisms, especially the potential therapeutic target for anti-hepatocellular carcinoma (HCC) are still unclear. Using UPLC‒Q-TOF/MS, 139 chemical components were identified in A. cinnamomea dropping pills (ACDPs). Based on these chemical components, network pharmacology demonstrated that the targets of active components were significantly enriched in the pathways in cancer, which were closely related with cell proliferation regulation. Next, HCC data was downloaded from Gene Expression Omnibus database (GEO). The Cancer Genome Atlas (TCGA) and DisGeNET were analyzed by bioinformatics, and 79 biomarkers were obtained. Furtherly, nine targets of ACDP active components were revealed, and they were significantly enriched in PI3K/AKT and cell cycle signaling pathways. The affinity between these targets and their corresponding active ingredients was predicted by molecular docking. Finally, in vivo and in vitro experiments showed that ACDPs could reduce the activity of PI3K/AKT signaling pathway and downregulate the expression of cell cycle-related proteins, contributing to the decreased growth of liver cancer. Altogether, PI3K/AKT-cell cycle appears as the significant central node in anti-liver cancer of A. Cinnamomea.

Objective:To explore the value of FibroScan in liver grafts from brain-dead donors (DBD) prior to liver transplantation (LT).Methods:Liver grafts from 52 DBD were examined using ultrasound and FibroScan before LT. The causes of death were cerebral hemorrhage ( n=25), brain trauma ( n=21) and ischemic-hypoxic cerebropathy ( n=6). Blood samples were tested before LT and a biopsy was performed pre- or intra-operation for determining pathology. The diagnostic accuracy of FibroScan results was compared with that of pathological examinations. The latter is a gold standard for evaluating liver grafts. The eligible donors were grouped by stage of liver fibrosis (F0-F4) and steatosis (S0-S3) based upon Kleiner's scoring system of nonalcoholic fatty liver disease. Results:The value of liver stiffness (LS) significantly rose in group F1 as compared with group F0 (8.74±1.32) kPa and (5.93±1.64) kPa respectively ( P<0.01). The value of LS had a significantly positive correlation with liver graft fibrosis stage ( r=0.73, P<0.01). The area under receiver operating characteristic curve (AUROC) was 0.93 for F1 stage fibrosis ( P<0.01). Significant differences existed in controlled attenuation parameter (CAP) among groups S0, S1 and S2 (173.30±38.36), (230.29±23.27) and (250.00±57.01) dB/m respectively ( F=12.41, P<0.01). CAP was correlated with liver graft steatosis stage ( r=0.64, P<0.01). And AUROC for S1/S2 stage steatosis in liver grafts was 0.89 ( P=0.002) and 0.83 ( P=0.007) respectively. Conclusions:With a high diagnostic accuracy, FibroScan quantifies fibrosis and steatosis in liver grafts from DBD and provides further imaging evidence for assessing liver grafts.

At present, the prevention and control situation of epidemics of Corona Virus Disease 2019 (COVID-19) is still serious, medical institutions should provide quality and safe routine medical services while doing their best in the prevention and control of this disease. The purpose of this article is to suggest a way to give quality and safe medical services to patients who need surgical treatment, especially to those who need emergency surgical treatment, with strict classified managements and standard precaution during perioperative period. With those suggestions, we may reduce the incidence of nosocomial infection and contribute to the prevention and control of COVID-19.

Objective To analyze the clinical significance of early lymphocyte recovery after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in acute myeloid leukemia.Methods The clinical data of 89 patients with acute myeloid leukemia undergoing allo-HSCT were retrospectively analyzed.The absolute lymphocyte count at Day 21 (ALC21) after allo-HSCT was used for representing the recovery rate of lymphocyte.And the effects of ALC21 on disease relapse,overall survival (OS),disease-free survival (DFS) and other parameters were analyzed.Results The recurrent rate of ALC21 ≥0.5 × 109/L group (high ALC21 group) was significantly lower than that of ALC21 ＜0.5× 109/L group (low ALC21 group) (19.6 ％ vs 48.5 ％,P=0.004).The 2-year OS and DFS of high ALC21 group spiked markedly as compared with low ALC21 group [(74.0 ± 6.0 ％ vs (46.5±9.5) ％,P=0.002],[(70.5 ± 6.2) ％ vs (44.9±9.3) ％,P =0.009] while viral infection rate declined markedly (37.5 ％ vs 60.6 ％,P =0.035).However,non-recurrence mortality (NRM),acute graft-versus-host disease (aGVHD) and chronic graft-versus-host disease (cGVHD) (P =0.556) were not elevated in high ALC21 group as compared with low ALC21 group (P=0.584,P =0.08,P =0.556).Conclusions Early lymphocyte recovery after in acute myeloid leukemia patients has significant early predictive value for recurrence and long-term prognosis after allo-HSCT.