Objective:This study aims to initially establish a scoring system for comprehensively reflecting the severity of intracranial atherosclerotic lesions and to explore the correlation between this score and atherosclerotic risk factors as well as stroke events.Methods:This study retrospectively analyzed patients who underwent head and neck computer tomography angiography(CTA)examinations and had head MRI examinations within one month before or after the CTA examination from January 2021 to August 2024 in Beijing Hospital.An intracranial atherosclerosis disease score(ICADS)system was constructed based on the degree and number of vascular stenosis.The relationship between ICADS and atherosclerotic risk factors was explored by grouping patients according to the quartile of ICADS.Patients were divided into acute stroke group and non-acute stroke group to compare differences in ICADS and cerebrovascular disease risk factors between the two groups, and to investigate the correlation between stroke events and ICADS.Results:There were statistically significant differences in the proportions of patients with hypertension and diabetes among different ICADS groups.Multiple linear regression analysis showed that hypertension( B=1.17, 95% CI: 0.20-2.14, P<0.05)and diabetes( B=2.75, 95% CI: 1.85-3.64, P<0.001)were risk factors for higher ICADS.The ICADS was higher in the acute stroke group than in the non-acute stroke group(9 vs.6, P<0.001), and a higher ICADS was identified as a risk factor for stroke( OR=1.10, 95% CI: 1.07-1.14, P<0.001). Conclusions:ICADS can comprehensively reflect the severity of intracranial atherosclerotic lesions and is correlated with stroke events, making it useful for clinical screening of high-risk patients for stroke.

Objective:This study aims to initially establish a scoring system for comprehensively reflecting the severity of intracranial atherosclerotic lesions and to explore the correlation between this score and atherosclerotic risk factors as well as stroke events.Methods:This study retrospectively analyzed patients who underwent head and neck computer tomography angiography(CTA)examinations and had head MRI examinations within one month before or after the CTA examination from January 2021 to August 2024 in Beijing Hospital.An intracranial atherosclerosis disease score(ICADS)system was constructed based on the degree and number of vascular stenosis.The relationship between ICADS and atherosclerotic risk factors was explored by grouping patients according to the quartile of ICADS.Patients were divided into acute stroke group and non-acute stroke group to compare differences in ICADS and cerebrovascular disease risk factors between the two groups, and to investigate the correlation between stroke events and ICADS.Results:There were statistically significant differences in the proportions of patients with hypertension and diabetes among different ICADS groups.Multiple linear regression analysis showed that hypertension( B=1.17, 95% CI: 0.20-2.14, P<0.05)and diabetes( B=2.75, 95% CI: 1.85-3.64, P<0.001)were risk factors for higher ICADS.The ICADS was higher in the acute stroke group than in the non-acute stroke group(9 vs.6, P<0.001), and a higher ICADS was identified as a risk factor for stroke( OR=1.10, 95% CI: 1.07-1.14, P<0.001). Conclusions:ICADS can comprehensively reflect the severity of intracranial atherosclerotic lesions and is correlated with stroke events, making it useful for clinical screening of high-risk patients for stroke.

OBJECTIVE: This study aimed to explore the association between humidity exposure and the risk of cardiovascular disease (CVD), utilizing follow-up data and relative humidity (RH) metric assessments. METHODS: We extracted the baseline data from the China Hypertension Survey (CHS) of 24,510 enrolled participants aged ≥ 35 years without a history of CVD between 2012 and 2015 and followed them up from 2018 to 2019. The National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) provided the quality-controlled relative humidity (RH) datasets. Cox proportional hazards models were used to estimate hazard ratios ( HRs) for CVD in relation to RH. RESULTS: During the follow-up period (2018-2019), 973 patients with CVD were identified. The HR of CVD risk was 1.17 (95% CI: 1.04-1.31) per 10% increase in summer mean RH. Compared with participants in the 3 ^rd quintile group, those in the 1 ^st and 5 ^th quintiles of RH had a higher risk of CVD. For summer mean RH, the HRs (95% CIs) for the 1 ^st and 5 ^th quintiles were 1.34 (1.04-1.71) and 1.44 (1.14-1.83), respectively. The relationship ("U" shape) between summer mean RH and the risk of CVD was nonlinear. Stratified analyses indicated that the risk of CVD was substantially influenced by the summer mean RH in female, older individuals, and those in southern China. CONCLUSION Unsuitable (too high or low) humidity environments affect the risk of CVD. Our study highlights those future policies for adapting to climate change should consider the humidity-CVD relationship.
Humans ; Humidity/adverse effects* ; Cardiovascular Diseases/etiology* ; Female ; Male ; Middle Aged ; Prospective Studies ; China/epidemiology* ; Adult ; Aged ; Risk Factors ; Proportional Hazards Models ; Seasons

ObjectiveTo explore the molecular mechanism implicated in the treatment of primary myelofibrosis （PMF） using Chinese medicinal herbs （CMH） by bioinformatics and molecular dynamics. MethodsData mining was performed to find the high-frequency CMH in treating PMF between the year of 1985 and 2024 by searching CNKI， Chinese Science and Technology Journal Database （CCD）， and China Academic Journal Database （CSPD）. TCMSP， SwissTargetPrediction and related reports were used to collect the main active ingredients of high-frequency CMH and their targets. The PMF datasets GSE44426 and GSE124281 were downloaded from GEO database， and R software was used for data normalization and differentially expressed genes （DEGs） screening. Key module hub genes were obtained by weighted gene co-expression network analysis （WGCNA） analysis. The common intersection genes of active ingredient targets， DEGs and key module hub genes of CMH were selected， and the target network was generated using Cytoscape 3.9.2 software. The core target network was generated by topological analysis， while key pathways were selected by GO and KEGG pathway enrichment analysis， and protein interaction relationships were obtained from the String database， so as to construct drug-ingredient-target network and protein interaction network （PPI） relationship diagrams. Discovery Studio 2020 software was used to perform molecular docking， and the GROMACS program was used to perform molecular dynamics simulation. ResultsA total of 21 prescriptions were collected involving 121 herbs. There were 9 herbs with a frequency ≥10 times， which were Danshen （Radix et Rhizoma Salviae Miltiorrhizae）， Huangqi （Radix Astragali）， Baizhu （Rhizoma Atractylodis Macrocephalae）， Danggui （Radix Angelicae Sinensis）， Dangshen （Radix Codonopsis）， Gancao （Radix et Rhizoma Glycyrrhizae）， Baishao （Radix Paeoniae Alba）， Fuling （Poria） and Shudihuang （Radix Rehmanniae Praeparata） from high- to low-frequency. A total of 98 active ingredients and 1125 potential targets were obtained from 9 high-frequency CMH. GSE44426 and GSE124281 data sets screened out 24 gene samples， including 14 of the healthy control group and 10 of the PMF group， and identified 319 DEGs between the two groups， including 122 up-regulated genes and 197 down-regulated genes. WGCNA screened out 24 co-expression module genes and found that the five modules closely related to the onset of PMF were MEpink， MEdarkred， MEblack， MEgrey， and MEturquoise， involving 7112 key module hub genes. The GO and KEGG enrichment analyses indicated that lipids and the atherosclerosis pathways were mainly involved in the mechanism of above high-frequency CMH in treating PMF， which included six hub protein targets： HSP90AA1， HSP90AB1， SRC， MAPK1， IL1B and IL10. From the drug-ingredient-target network， seven active ingredients of CMH targeting at these six hub targets were found， including verbascoside， verbascos isoflavone， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The molecular docking and molecular dynamics analyses showed that the key CMH were Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and among the seven active ingredients， calycosin had the highest binding affinity with HSP90AB1. ConclusionThe main CMH for the treatment of PMF may be Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and the active ingredients include verbascoside， verbascos isoflavones， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The relevant targets are HSP90AA1， HSP90AB1， SRC， MAPK1， IL-10， and IL-1β， and the most critical pathways are lipid and atherosclerosis pathways.

Humans ; Acute Disease ; Pancreatitis/diagnosis* ; Follow-Up Studies ; Patient Discharge ; Disease Progression

BACKGROUND:Disseminated intravascular coagulation(DIC)is associated with increased mortality in sepsis patients.In this study,we aimed to assess the clinical ability of sepsis-induced coagulopathy(SIC)and sepsis-associated coagulopathy(SAC)criteria in identifying overt-DIC and pre-DIC status in sepsis patients. METHODS:Data from 419 sepsis patients were retrospectively collected from July 2018 to December 2022.The performances of the SIC and SAC were assessed to identify overt-DIC on days 1,3,7,or 14.The SIC status or SIC score on day 1,the SAC status or SAC score on day 1,and the sum of the SIC or SAC scores on days 1 and 3 were compared in terms of their ability to identify pre-DIC.The SIC or SAC status on day 1 was evaluated as a pre-DIC indicator for anticoagulant initiation. RESULTS:On day 1,the incidences of coagulopathy according to overt-DIC,SIC and SAC criteria were 11.7％,22.0％and 31.5％,respectively.The specificity of SIC for identifying overt-DIC was significantly higher than that of the SAC criteria from day 1 to day 14(P＜0.05).On day 1,the SIC score with a cut-off value＞3 had a significantly higher sensitivity(72.00％)and area under the curve(AUC)(0.69)in identifying pre-DIC than did the SIC or SAC status(sensitivity:SIC status 44.00％,SAC status 52.00％;AUC:SIC status 0.62,SAC status 0.61).The sum of the SIC scores on days 1 and 3 had a higher AUC value for identifying the pre-DIC state than that of SAC(0.79 vs.0.69,P＜0.001).Favorable effects of anticoagulant therapy were observed in SIC(adjusted hazard ratio[HR]=0.216,95％confidence interval[95％CI]:0.060-0.783,P=0.018)and SAC(adjusted HR=0.146,95％CI:0.041-0.513,P=0.003). CONCLUSION:The SIC and SAC seem to be valuable for predicting overt-DIC.The sum of SIC scores on days 1 and 3 has the potential to help identify pre-DIC.

Studies have found that gut microbiota and bile acids metabolism play an important role in the occurrence and development of type 2 diabetes mellitus and insulin resistance(T2DM-IR).Recent studies have shown that the abnormal transformation of qi and Liver-qi collaterals caused by liver dysfunction is the key to the pathogenesis of T2DM-IR,which is closely related to intestinal flora and bile acid metabolism disorders.This article delves into the crucial role of intestinal microbiota and bile acid metabolism in regulating qi and collaterals within traditional Chinese medicine treatment from a hepatic perspective.It unveils its favorable impact on enhancing insulin sensitivity and achieving balance in energy metabolism,thereby offering valuable references for clinical management of T2DM.

Studies have found that gut microbiota and bile acids metabolism play an important role in the occurrence and development of type 2 diabetes mellitus and insulin resistance(T2DM-IR).Recent studies have shown that the abnormal transformation of qi and Liver-qi collaterals caused by liver dysfunction is the key to the pathogenesis of T2DM-IR,which is closely related to intestinal flora and bile acid metabolism disorders.This article delves into the crucial role of intestinal microbiota and bile acid metabolism in regulating qi and collaterals within traditional Chinese medicine treatment from a hepatic perspective.It unveils its favorable impact on enhancing insulin sensitivity and achieving balance in energy metabolism,thereby offering valuable references for clinical management of T2DM.

Objective: To investigate the molecular characterization of adult diarrhea cases caused by enterotoxic Escherichia coli (ETEC) and explore the practical model of epidemiology for laboratory technique and data needs based on the surveillance network. Methods: Epidemiological design and sampling targeted adult cases ETEC caused diarrhea in epidemic season. The enterotoxin type, serogroup, resistance, colonization factor and molecular type of ETEC were identified. Multiple dynamic phenotypic characteristics of ETEC were indicated by multidimensional and multivariable data. Results: From 2016 to 2018, 84 eligible ETEC strains were detected. The dominant serums/toxins were O∶6 (STh), O∶25 (LT), O∶159 (STh), O∶153 (STh). O∶6 (STh+CS21), which replaced O∶25 and O∶159 as the popular clones in 2018. Six cases of O∶153 (STh+CFA/I+CS8+PT34) in outbreak in 2017 were imported ones. The resistance rates of ETEC strains detected in adults to sulfasoxazole, naproxinic acid, ampicillin and azithromycin were more than 30%, multidrug resistance (MDR) reached 58.3%. Serum/toxin types suggested that attenuated strains were more likely to become MDR. Molecular typing confirmed that the genetic similarity of the dominant clone of O∶6 serogroup (PT20-24) was higher than O∶25 and O∶159. There was a high correlation between the minimal inhibitory concentration (MIC) of azithromycin and the resistant gene mphA (87.5%, 28/32). O∶6 (STh+CS21+mphA) resistant clone was first detected in 2016. Conclusion A new epidemic clone in adult ETEC diarrhea cases in Shanghai was O∶6 (STh+CS21+mphA). For the first time the association between azithromycin resistance gene mphA and a serum group of ETEC was observed. Multidimensional and multivariate analysis techniques based on epidemiology can help reveal the potential transmission pattern of ETEC for the accurate surveillance and early warning of outbreaks.

Objective To compare the epidemiological characteristics of adult single fractures of the cuneiform between the east and west areas in China from 2010 through 2011.Methods Thirty-five hospitals in the east coast area (group A) and 28 hospitals in the west inland area (group B) were selected for this investigation. The data of adult single fracture of the cuneiform treated between January 2010 and De-cember 2011 at the 63 hospitals were collected through the PACS system and medical records inquiry system. The epidemiological characteristics concerning age, gender and fracture classification were compared between the 2 groups. Results A total of 457 adult single fractures of the cuneiform were collected, involving 384 cases in group A and 73 cases in group B. They accounted respectively for 4.38% (384/8,772) and 3.53% (73/2, 068) of the adult tarsal bone fractures in the same period, showing no significant difference (P >0.05), accounted respectively for 1.71% (384/22, 455) and 1.15% (73/6, 354) of the adult foot frac-tures, showing a significant difference (P <0.05), and accounted respectively for 0.20% (384/192,991) and 0.09% (73/81, 143) of all the adult fractures, showing a significant difference (P <0.05). The median age was 39 years in group A (29, 50) and 36 years in group B (25, 45), showing a significant difference (P <0.05). The male to female ratio was 1.61:1 (237/147) for group A and 1.52:1 (44/29) for group B. The peak age range of the fracture for males was from 21 to 30 years old in both groups, and its proportion was 28.69% (68/237) in group A and 38.64% (17/44) in group B. The peak age range of the fracture for females was from 41 to 50 years old in both groups, and its proportion was 26.53% (39/147)in group A and 27.59% (8/29) in group B. All the above comparisons were statistically insignificant (P> 0.05). The proportion of the age group of≥61 years was significantly larger in group A than in group B (P <0.05). The high risk type of the fracture was type 85-A1 in both groups, and its proportion was 61.98% (238/384) in group A and 52.05% (38/73) in group B. The proportion of type 85-B1 was significantly larger in group B than in group A (P <0.05). Conclusions Adult single fractures of the cuneiform were more common in young and male patients. The proportion of elderly patients (≥61 years old) was significantly larger in the east area. The high risk type of the fracture was simple fracture involving the medial cuneiform bone (type 85-A) in both areas. The proportion of the comminuted fracture of the medial cuneiform (type 85-B1) was significantly larger in the west area.