Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Objective To investigate the role of cytochrome P450 2E1 (CYP2E1) in trichloroethylene (TCE)-induced skin sensitization and liver damage in guinea pigs, using diallyl sulfide (DAS), a CYP2E1 inhibitor, as an intervention. Methods Specific pathogen-free female guinea pigs were randomly divided into blank control group, solvent control group, positive control (2,4-dinitrochlorobenzene) group, TCE-exposure group, and DAS-intervention group. Skin sensitization experiments were conducted using the guinea pig TCE maximal dose-skin sensitization test. Urinary trichloroacetic acid levels were determined following TCE induction and challenge. At 48 hours after the final challenge, serum liver function markers and inflammatory cytokines levels were detected. Histopathological examination on skin and liver tissues was performed, and hepatic CYP2E1 protein expression and oxidative stress indicators were assessed. Results The sensitization rates of guinea pigs were 100.0%, 75.0%, and 33.3% in the positive control, TCE-exposure, and DAS-intervention groups, respectively, while the blank control and solvent control groups were both 0.0%. Compared with the guinea pigs in TCE-exposure group, those in the DAS-intervention group had lower urinary trichloroacetic acid levels at intradermal induction, local induction, first challenge, and 24 hours after the final challenge time point (all P<0.05). Histopathology of guinea pigs showed dermal inflammatory infiltration and basal keratinocyte necrosis in the TCE-exposure group, whereas only mild dermal inflammation was observed in the DAS-intervention group. The guinea pigs in TCE-exposure group exhibited diffuse hepatocellular necrosis, while hepatic damage in the DAS-intervention group was alleviated, characterized by only mild hepatocellular steatosis and hepatocyte swelling around the central vein. The skin sensitization rate of guinea pigs in the TCE-exposure group increased (all P<0.01), the serum alanine aminotransferase (ALT )activity, the levels of interleukin (IL)-2, IL-17, and tumor necrosis factor-α (TNF- α) increased (all P<0.05), the relative expression of CYP2E1 protein, the activity of superoxide dismutase (SOD), and the level of malondialdehyde in liver tissue increased (all P<0.05), while the activity of catalase decreased (P<0.05), compared with the blank control and solvent control groups. The serum ALT activity and the levels of IL-2, IL-17, and TNF-α of guinea pigs in DAS-intervention group reduced (all P<0.05), as well as CYP2E1 protein expression, SOD activity, and malondialdehyde level in liver tissue reduced (all P<0.05), compared with the TCE-exposure group. Conclusion TCE can induce hepatic CYP2E1 expression, thereby promoting oxidative stress and inflammatory responses, which contributes to skin sensitization and liver damage. DAS alleviates TCE-induced toxic effects on skin and liver by inhibiting CYP2E1 expression.

ObjectiveTo improve the quality standard of Yuanhu Zhitong oral liquid in order to strengthen the quality control of this oral liquid. MethodThin layer chromatography（TLC） was used for the qualitative identification of Corydalis Rhizoma and Angelicae Dahuricae Radix in Yuanhu Zhitong oral liquid by taking tetrahydropalmatine， corydaline reference substances and Corydalis Rhizoma reference medicinal materials as reference， and cyclohexane-trichloromethane-methanol（5∶3∶0.5） as developing solvent， Corydalis Rhizoma was identified using GF254 glass thin layer plate under ultraviolet light（365 nm）. And taking petroleum ether（60-90 ℃） -ether-formic acid（10∶10∶1） as developing solvent， Angelicae Dahuricae Radix was identified using a silica gel G TLC plate under ultraviolet light（305 nm）. High performance liquid chromatography（HPLC） was performed on a Waters XSelect HSS T3 column（4.6 mm×250 mm， 5 μm） with acetonitrile（A）-0.1% glacial acetic acid solution（adjusted pH to 6.1 by triethylamine）（B） as the mobile phase for gradient elution（0-10 min， 20%-30%A； 10-25 min， 30%-40%A； 25-40 min， 40%-50%A； 40-60 min， 50%-60%A）， the detection wavelength was set at 280 nm， then the fingerprint of Yuanhu Zhitong oral liquid was established， and the contents of tetrahydropalmatine and corydaline were determined. ResultIn the thin layer chromatograms， the corresponding spots of Yuanhu Zhitong oral liquid， the reference substances and reference medicinal materials were clear， with good separation and strong specificity. A total of 12 common peaks were identified in 10 batches of Yuanhu Zhitong oral liquid samples， and the peaks of berberine hydrochloride， dehydrocorydaline， glaucine， tetrahydropalmatine and corydaline. The similarities between the 10 batches of samples and the control fingerprint were all >0.90. The results of determination showed that the concentrations of corydaline and tetrahydropalmatine had good linearity with paek area in the range of 0.038 6-0.193 0， 0.034 0-0.170 0 g·L^-1， respectively. The methodological investigation was qualified， and the contents of corydaline and tetrahydropalmatine in 10 batches of Yuanhu Zhitong oral liquid samples were 0.077 5-0.142 9、0.126 1-0.178 2 g·L^-1， respectively. ConclusionThe established TLC， fingerprint and determination are simple， specific and reproducible， which can be used to improve the quality control standard of Yuanhu Zhitong oral liquid.

ObjectiveTo evaluate the effect of antihypertensive and lipid-regulating Chinese patent medicine combined with conventional Western medicine in the treatment of hypertension with dyslipidemia. To carry out the evidence synthesis of clinical research and provide evidence-based evidence support for clinical decision-making. MethodThe databases including China National Knowledge Infrastructure （CNKI），Wanfang Data Knowledge Service Platform （WF），VIP，SinoMed，Embase，PubMed，Web of Science （WOS），and the Cochrane Library were searched for randomized controlled trials （RCT） of all listed Chinese patent medicines in the treatment of hypertension with dyslipidemia from the establishment of the databases to April 15，2023. The literature was screened and extracted，and the risk of bias tool 2.0 （RoB2） was used to assess the quality and risk of bias of the methodology. Revman 5.4.1 software was used to analyze the outcome indicators. Grading of Recommendations Assessment，Development and Evaluation （GRADE） was applied to assess the quality of evidence formed by clinical research data. The inclusion and recommendation of Chinese patent medicines in the National Drug Catalogue for Basic Medical Insurance，Work-related Injury Insurance and Maternity Insurance （2022） and domestic guidelines and consensus were searched to form a bubble chart. ResultA total of 15 studies were included. The evaluation of the methodological quality of each study showed that the risk of bias stemmed from the lack of blinding and allocation concealment，and low sample size. The comprehensive analysis of clinical studies showed that Dengzhan Shengmai capsules combined with rosuvastatin and amlodipine besylate，Yindan Xinnaotong capsules combined with simvastatin and levamlodipine tablets，Xiaoshuan Tongluo capsules combined with nifedipine controlled release tablets and pravastatin sodium tablets，Xinshubao capsules combined with atorvastatin calcium tablets and irbesartan，Wenyading capsules combined with enalapril，and Jiangzhining tablets combined with conventional Western medicines were all superior to conventional Western medicines used in the control group in improving systolic blood pressure （SBP），diastolic blood pressure （DBP），cholesterol （TC），triglyceride （TG），low density lipoprotein cholesterol （LDL-C），and high density lipoprotein cholesterol （HDL-C）. There was no significant difference in the incidence of adverse reactions between the two groups. The GRADE evaluation of the main outcome indicators showed that the evidence quality of SBP and incidence of adverse reactions was graded as B，that of DBP as C，and that of total TC，TG，LDL-C，and HDL-C as D. The evaluation of Chinese patent medicines covered by medical insurance and recommended by guidelines and consensus showed that Yindan Xinnaotong soft capsules，Dengzhan Shengmai capsules and Xiaoshuan Tongluo capsules belonged to class B drugs of medical insurance，and were recommended for 7，6 and 3 times in the guidelines and consensus，respectively. ConclusionCompared with simple medicine treatment，Chinese patent medicine combined with conventional Western medicine has more advantages in improving blood pressure and blood lipid，and shows higher safety. Among them，Yindan Xinnaotong soft capsules，Dengzhan Shengmai capsules and Xiaoshuan Tongluo capsules have stronger clinical applicability and economy. All the trials included in this article adhered to the principle of randomization and reported the outcome measures. However，the quality of evidence in related clinical studies was low. In terms of trial design，large-sample，multi-center，blinded randomized controlled trials based on the consolidated standards of reporting trials （CONSORT） statement are still needed for comprehensive trial designs and reporting，to further improve the GRADE quality evaluation and guideline formulation under the guidance of evidence-based medicine，so as to provide higher quality evidence-based research evidence for clinical decision-making.

ObjectiveTo evaluate the quality of research and evidence related to antihypertensive Chinese patent medicines combined with western medicines for the treatment of hypertension， synthesize and update the evidence， form expert consensus， and provide evidence for clinical decision-making. MethodThe databases of China National Knowledge Infrastructure （CNKI）， WanFang Data Knowledge Service Platform （WanFang）， Vip Chinese Science and Technology Journal Database （VIP）， Chinese Biomedical Literature Service System （Sinomed）， National Library of Medicine （PubMed）， Cochrane Library， Web of Science， and US Clinical Trials Registry were searched for randomized controlled trials of antihypertensive Chinese medicine combined with western medicine for the treatment of hypertension from database construction to July 31， 2022. The quality of the literature was evaluated using the bias risk assessment tool in Cochrane Handbook 6.3. Evidence synthesis of main outcome indicators was performed using R software. The Grading of Recommendations Assessment， Development， and Evaluation profiler （GRADEprofiler） 3.6 was employed to evaluate the quality of evidence. Expert consensus was formed based on the Delphi method after two rounds of voting. Result64 pieces of literature were included， and the results of literature quality evaluation and risk of bias showed that 70.31% （45/64） of the studies indicated some risks， and 29.69% （19/64） indicated high risks. Compared with conventional western medicines， the combination of Chinese patent medicines with western medicines can significantly lower systolic pressure （SBP） and diastolic pressure （DBP）， increase the effective rate of antihypertensive， reduce the incidence of adverse reactions， endothelin-1， and traditional Chinese medicine syndrome scores. Egger's test showed that Songling Xuemaikang capsules reduced SBP and DBP. Tianma Gouteng granules reduced SBP and DBP and increased the effective rate of antihypertensive， and Xinmaitong capsules reduced SBP and increased the effective rate of antihypertensive， without significant publication bias. Songling Xuemaikang capsules increased the effective rate of antihypertensive， and Xinmaitong capsules decreased DBP， with significant publication bias. The results of the GRADE evidence quality evaluation showed that most evidence was at grades B and C. Finally， four strong recommendations and 14 weak recommendations were formed. ConclusionCompared with conventional western medicines for the treatment of hypertension， antihypertensive Chinese patent medicines combined with western medicines have advantages in reducing blood pressure and improving drug use safety， but they are mostly weak recommendations in terms of efficacy， and more high-quality evidence is needed.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.

Objective:To explore the feasibility of deep learning-based restoration of obscured thyroid ultrasound images.Methods:A total of 358 images of thyroid nodules were retropectively collected from January 2020 to October 2021 at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, and the images were randomly masked and restored using DeepFillv2. The difference in grey values between the images before and after restoration was compared, and 6 sonographers (2 chief physicians, 2 attending physicians, 2 residents) were invited to compare the rate of correctness of judgement and detection of image discrepancies. The ultrasound features of thyroid nodules (solid composition, microcalcifications, markedly hypoechoic, ill-defined or irregular margins, or extrathyroidal extensions, vertical orientation and comet-tail artifact) were extracted according to the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS). The consistency of ultrasound features of thyroid nodules before and after restoration were compared.Results:The mean squared error of the images before and after restoration ranged from 0.274 to 0.522, and there were significant differences in the rate of correctness of judgement and detection of image discrepancies between physicians of different groups(all P<0.001). The overall accuracy rate was 51.95%, the overall detection rate was 1.79%, there were significant differences also within the chief physicians and resident groups (all P<0.001). The agreement rate of all ultrasound features of the nodules before and after image restoration was higher than 70%, over 90% agreement rate for features such as solid composition and comet-tail artifact. Conclusions:The algorithm can effectively repair obscured thyroid ultrasound images while preserving image features, which is expected to expand the deep learning image database, and promote the development of deep learning in the field of ultrasound images.