Objective:To assess the association between diabetes mellitus and the risk of sudden cardiac death (SCD), and to identify potential contributing factors.Methods:This meta-analysis was an updated version of the original study Diabetes mellitus and the risk of sudden cardiac death： a systematic review and meta-analysis of prospective studies. The original review included all eligible case-control and cohort studies published in PubMed and Embase up to 2017 that investigated the association between diabetes and SCD risk. In this updated study, newly published studies were added, including those available in PubMed, Embase, China National Knowledge Infrastructure (CNKI), and WANFANG MED ONLINE up to December 3, 2023. Search terms included "diabetes""glucose""sudden cardiac death" "cardiac arrest" and their Chinese equivalent. The primary outcome was the risk of SCD, while factors such as country, ethnicity, skin color, follow-up duration, left ventricular ejection fraction (LVEF), baseline comorbidities, and other relevant variables were analyzed as potential influencing factors. Relative risk ( RR) was used as the summary measure. A random-effects model was used when significant heterogeneity was detected, otherwise a fixed-effects model was used. Cochran′s Q test was used for subgroup analysis to assess the influence of factors such as region, baseline diseases, LVEF, and ethnicity (based on skin color) on the outcomes. Results:A total of 32 cohort/case-control studies with a combined sample size of 3 252 954 individuals were included. The meta-analysis showed that the risk of SCD in patients with diabetes was double that of non-diabetics ( RR=2.00, 95% CI: 1.83-2.19, P<0.001). In Asian populations, the risk of SCD in diabetic patients was 1.78 times that of non-diabetic individuals ( RR=1.78, 95% CI: 1.51-2.10), 2.05 times that of in European populations ( RR=2.05, 95% CI: 1.79-2.34), and 2.12 times that of in American populations ( RR=2.12, 95% CI: 1.82-2.47), with no statistically significant heterogeneity between regions ( P=0.287). Among individuals without other baseline comorbidities, the risk of SCD was 2.12 times higher in diabetic patients than in those without diabetes ( RR=2.12, 95% CI: 1.89-2.38). In patients with baseline coronary heart disease, the risk was 1.75 times that of non-diabetics ( RR=1.75, 95% CI: 1.45-2.11). In those with baseline heart failure, the risk was 1.92 times that of non-diabetics ( RR=1.92, 95% CI: 1.51-2.43). In patients with baseline atrial fibrillation, the risk was 4.00 times that of non-diabetic individuals ( RR=4.00, 95% CI: 1.38-11.56). In patients undergoing hemodialysis due to renal failure, the risk was 1.76 times that of non-diabetic individuals ( RR=1.76, 95% CI: 1.25-2.48), with no statistically significant heterogeneity between groups ( P=0.262). In cardiac patients with LVEF>50%, the risk of SCD in diabetic patients was 2.08 times that of non-diabetic individuals ( RR=2.08, 95% CI: 1.57-2.75), and in those with LVEF<50%, the risk was 1.69 times that of non-diabetic individuals ( RR=1.69, 95% CI: 1.30-2.18), with no statistically significant heterogeneity between groups ( P=0.277). In yellow-skinned populations, the risk of SCD in diabetic patients was 1.80 times that of healthy individuals ( RR=1.80, 95% CI: 1.73-1.87), and in white-skinned populations, it was 2.18 times that of healthy individuals ( RR=2.18, 95% CI: 1.88-2.54), with statistically significant heterogeneity between groups ( P=0.014). Conclusions:Diabetes mellitus significantly increased the risk of SCD, and this effect may be more pronounced in white-skinned populations, while region, baseline comorbidities, and LVEF had no further effect.

ObjectiveTaking Shengxuebao as the model traditional Chinese medicine（TCM）， this study aims to explore the methodologies and transfer patterns in the composition changes of TCM compound preparations from liquid to solid dosage forms. MethodBased on the previously established ultra-high performance liquid chromatography（UPLC） qualitative and quantitative methods for Shengxuebao， the fingerprint profiles of three preparations of Shengxuebao（homemade decoction， commercially available granules and mixtures） were established， and nineteen components were quantitatively analyzed. The similarities of fingerprint profiles among these three preparations were assessed using the Similarity Evaluation System for Chromatographic Fingerprint of TCM（2012 edition） and the total quantum statistical moment similarity method， respectively. The molecular connectivity index （MCI） and the average molar MCI of the chemical components in the three preparations were calculated. Seventy-two MCI values across 0-8 orders， including 8 subclasses， were calculated. The average molar MCI of 0-3 orders was used to study the "imprint template" structural characteristics and transfer patterns of the medicinal component groups. ResultThe similarities of the fingerprint profile of the decoction with those of the control， granules， and mixtures were 0.971， 0.888 and 0.799， respectively， indicating that the chemical composition of the granules and mixtures differed from that of the decoction， and that the 19 components were able to basically respond to the overall situation of the component group of Shengxuebao decoction. The total mass fractions of the detectable major components in Shengxuebao decoction， granules and mixtures was measured to be 5.498 6， 2.282 0， 1.416 6 mg·g^-1， respectively. The average molar MCI of 0-3 orders showed a gradual decrease across the three preparations， with the trend of decoction>granules>mixtures， indicating subtle changes in the overall structural characteristics of the chemical components in the samples of the three preparations. ConclusionAmong the three formulations of Shengxuebao， the traditional decoction contained the highest variety and quantity of components and carried the most substantial amount of component information， with a decreasing order observed in the granules and mixtures. This study further validates that traditional decoction is a reliable and fundamental dosage form， providing a reference for the modernization of TCM dosage forms and the quality consistency evaluation of compound preparations.

Preoperative patients′ preparedness for selective surgery is of great significance in improving surgical efficiency, improving treatment outcomes, and optimizing the quality of medical care. The lack of unified standards for existing evaluation tools hinders their clinical application. This article provides a review of the development, content, reliability, validity, and application of existing evaluation tools, and compares and analyzes them, in order to provide reference for medical workers to select suitable evaluation tools and construct a patient-centered preoperative preparation strategy.

Ultrasound examination has the advantages of non-radiation, non-invasive, low cost and high efficiency, and is the most commonly used method of liver imaging examination. In recent years, the application of computer vision technology to the intelligent analysis of ultrasound images has become a research hotspot in the field of intelligent healthcare. Through large-scale data training, the intelligent analysis model of ultrasound omics based on machine learning algorithm can assist clinical diagnosis and therapy, and improve the efficiency and accuracy of diagnosis. Based on the literature, the authors summarize the application proprect of computer vision technology assisted ultrasonography in the evaluation of diffuse liver lesions, focal liver lesions, microvascular invasion of liver cancer, postoperative recurrence of liver cancer, and postoperative therapy response to trans-catheter arterial chemoembolization.

Cerebral infarction, with high incidence, high mortality, high disability and high recurrence rates, can impose a serious burden on families and society. After cerebral infarction occurrence, neurons, as the fundamental structures of the central nervous system, are unable to renew or multiply after death; hence, full recovery from neurological impairments following cerebral infarction is challenging. With stem cell and genetic recombination advancements, cellular replacement therapy after cerebral infarction progresses, which helps clinical transformation and application. In this paper, the basic researches of cellular replacement therapy after cerebral infarction are reviewed from 3 aspects: endogenous nerve regeneration, exogenous stem cell transplantation, and in situ somatic cell trans-differentiation into neurons, in order to provide references for cerebral infarction treatment

Objective:To explore the effect of neutrophil-lymphocyte ratio (NLR) at the initial visit on the survival of children with newly diagnosed medulloblastoma (MB).Methods:This was a case-control study involving 61 children with newly diagnosed MB at the Department of Pediatrics, Beijing Shijitan Hospital, Capital Medical University from August 2018 to January 2020 .The blood cell counts, lymphocyte subsets and immunoglobulin in the periphe-ral blood were measured to calculate NLR at the initial visit.Based on the cut-off value determined by receiver opera-ting characteristic (ROC) curve, patients were divided into high NLR group (≥ 2.07, n=21) and low NLR group (<2.07, n=40). The progression-free survival (PFS) and overall survival (OS) between 2 groups were analyzed by the Kaplan-Meier method, followed by Log- rank test.The correlation between NLR at the initial visit with clinical characteristics, lymphocyte subsets and immunoglobulin of children with newly diagnosed MB was analyzed.Differences between groups were compared by the Chi- square test, Mann- Whitney U test and independent sample t test. Results:The survival analysis showed that the relapse rate (38.1% vs.10.0%, χ2=6.879, P=0.016) and mortality rate (19.0% vs.0, χ2=8.154, P=0.011) were significantly higher in high NLR group than those of low NLR group.PFS (12 months vs.19 months, χ2=9.775, P=0.002) and OS (19 months vs.20 months, χ2=8.432, P=0.004) were significantly shorter in high NLR group than those of low NLR group.No significant differences in clinical characteristics were detected between groups (all P>0.05). Compared with low NLR group, the percentage of T lymphocyte[(67.93±6.37)% vs.(73.38±8.08)%, t=2.886, df=48.865, P=0.006], T helper cells (Th)[(30.86±5.53)% vs.(34.29±7.44)%, t=2.037, df=51.981, P=0.047], and T suppressor cells (Ts)[(27.39±5.50)% vs.(30.84±6.58)%, t=2.164, df=47.581, P=0.035] were significantly lower in high NLR group.Spearman correlation analysis showed a negative correlation between NLR and T lymphocyte count ( r=-0.303, P=0.018), and Ts lymphocyte count ( r=-0.260, P=0.043). Conclusions:Children with newly diagnosed MB expressing a high level of NLR had a poor prognosis, which may be associated with T lymphocyte and Ts lymphocyte.

Deciphering the metabolites of multiple components in herbal medicine has far-reaching significance for revealing pharmacodynamic ingredients.However,most chemical components of herbal medicine are secondary metabolites with low content whose in vivo metabolites are close to trace amounts,making it difficult to achieve comprehensive detection and identification.In this paper,an efficient strategy was proposed:herb-derived metabolites were predicted according to the structural characteristics and metabolic reactions of chemical constituents in Corydalis Rhizoma and chemical structure screening tables for metabolites were conducted.The fragmentation patterns were summarized from represen-tative standards combining with specific cleavage behaviors to deduce structures of metabolites.Ion abundance plays an important role in compound identification,and high ion abundance can improve identification accuracy.The types of metabolites in different biological samples were very similar,but their ion abundance might be different.Therefore,for trace metabolites in biological samples,we used the following two methods to process:metabolites of high dose herbal extract were analyzed to char-acterize those of clinical dose herbal extracts in the same biological samples;cross-mapping of different biological samples was applied to identify trace metabolites based on the fact that a metabolite has different ion abundance in different biological samples.Compared with not using this strategy,44 more metabolites of clinical dose herbal extract were detected.This study improved the depth,breadth,and accuracy of current methods for herb-derived metabolites characterization.

The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.

The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.

Objectives To analyze the changes of serum complement C1q level in patients with metabolic syndrome (MS) and investigate whether it is associated with lipid metabolism and glycometabolism. Methods In a cross-sectional study, the subjects were selected as the patients and healthy people who went to the second xiangya hospital of central south university from July 2017 to June 2018. A total of 152 MS patients were enrolled and another 90 healthy subjects were enrolled as control group. Anthropometry parameters such as body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP) were measured. Serum concentrations of C1q and other biochemical indexes including blood glucose (GLU), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured in all groups. The correlations between C1q and these parameters were analyzed by spearman's rho test and the clinical value of C1q in predicting MS was further evaluated by stepwise multiple linear regression analysis. Results MS group had higher serum C1q levels (244.34±62.66) mg/L compared with the control group (202.37±35.92) mg/L (t=-6.250, P=0.000). C1q levels (244.34±62.66) mg/L were positively associated with TG levels [2.34(1.89, 3.62)] mmol/L (r=0.245, P=0.001), TC levels (4.91±1.26) mmol/L (r=0.398, P=0.000), LDL-C levels (3.23±1.03) mmol/L (r=0.325, P=0.000) in MS group, While C1q levels (258.92±69.59)mg/L were positively associated with SBP (144.76 ± 22.94) mmHg (r=0.388, P=0.018), TG levels [2.65(1.87, 3.82)] mmol / L (r=0.482, P=0.003), TC levels (5.18±1.31) mmol/L (r=0.529,P=0.001) in MS patients with obesity. The stepwise multiple regression analysis showed that TG levels were independently correlated with serum C1q levels both in MS patients (β=0.302, P=0.000) and in MS patients with obesity (β=0.653, P=0.000) after adjusting for age, gender and other biochemical markers. Conclusions MS patients had higher C1q levels than healthy subjects and serum C1q levels were closely positive related to harmful lipid profiles. Serum TG level was an independent influencing factor of serum C1q in MS patients.