Modulation of mercaptopurine intestinal toxicity and pharmacokinetics by gut microbiota.

The interaction between the gut microbiota and mercaptopurine (6-MP), a crucial drug used in pediatric acute lymphoblastic leukemia (ALL) treatment, has not been extensively studied. Here we reveal the significant perturbation of gut microbiota after 2-week 6-MP treatment in beagles and mice followed by the functional prediction that showed impairment of SCFAs production and altered amino acid synthesis. And the targeted metabolomics in plasma also showed changes in amino acids. Additionally, targeted metabolomics analysis of feces showed changes in amino acids and SCFAs. Furthermore, ablating the intestinal microbiota by broad-spectrum antibiotics exacerbated the imbalance of amino acids, particularly leading to a significant decrease in the concentration of S-adenosylmethionine (SAM). Importantly, the depletion of gut microbiota worsened the damage of small intestine caused by 6-MP, resulting in increased intestinal permeability. Considering the relationship between toxicity and 6-MP metabolites, we conducted a pharmacokinetic study in pseudo germ-free rats to confirm that gut microbiota depletion altered the methylation metabolites of 6-MP. Specifically, the concentration of MeTINs, a secondary methylation metabolite, showed a negative correlation with SAM, the pivotal methyl donor. Additionally, we observed a strong correlation between Alistipes and SAM levels in both feces and plasma. In conclusion, our study demonstrates that 6-MP disrupts the gut microbiota, and depleting the gut microbiota exacerbates 6-MP-induced intestinal toxicity. Moreover, SAM derived from microbiota plays a crucial role in influencing plasma SAM and the methylation of 6-MP. These findings underscore the importance of comprehending the role of the gut microbiota in 6-MP metabolism and toxicity.

Quantitative evaluation of the time-course and efficacy of targeted agents for ulcerative colitis.

Background: Targeted agents are widely utilized in the treatment of ulcerative colitis (UC). Hence, a comprehensive understanding of comparative drug efficacy in UC is of great importance for drug development and clinical practice. Our objective was the quantitative evaluation of the comparative efficacy of targeted agents for UC. Methods: Three mathematical models were developed based on data from randomized controlled trials in patients with moderate-to-severe UC to describe the time-course and dose-response of efficacy defined as clinical remission, clinical response, and endoscopic improvement, as well as the placebo effect. The covariate effects were further evaluated. Model simulation was performed in a hypothetical population to compare the efficacies across different drugs. Results: The analysis dataset was composed of data from 35 trials of 12 drugs in UC. Time-response relationships were evaluated that indicated a gradual onset of drug efficacy in adalimumab, ozanimod, and Janus kinase (JAK) inhibitors. The dose-response relationships were estimated for each drug respectively. Patient age, disease duration, baseline weight, prior tumor necrosis factor (TNF) inhibitor exposure, and current treatment with corticosteroid showed an impact on efficacy, suggesting that younger patients with shorter UC duration without prior anti-TNF treatment and current corticosteroids therapy tend to display greater treatment effects. Conclusion: This study developed three longitudinal models for UC to quantitatively describe the efficacy of targeted agents, as well as the influencing factors of efficacy. Infliximab and upadacitinib were determined to be the most effective biological and small targeted molecules, respectively. These findings may provide valuable implications for guiding future decision-making in clinical practice and drug development for UC.

Advances in heart failure monitoring: Biosensors targeting molecular markers in peripheral bio-fluids.

Cardiovascular diseases (CVDs), especially chronic heart failure, threaten many patients' lives worldwide. Because of its slow course and complex causes, its clinical screening, diagnosis, and prognosis are essential challenges. Clinical biomarkers and biosensor technologies can rapidly screen and diagnose. Multiple types of biomarkers are employed for screening purposes, precise diagnosis, and treatment follow-up. This article provides an up-to-date overview of the biomarkers associated with the six main heart failure etiology pathways. Plasma natriuretic peptides (BNP and NT-proBNP) and cardiac troponins (cTnT, cTnl) are still analyzed as gold-standard markers for heart failure. Other complementary biomarkers include growth differentiation factor 15 (GDF-15), circulating Galactose Lectin 3 (Gal-3), soluble interleukin (sST2), C-reactive protein (CRP), and tumor necrosis factor-alpha (TNF-α). For these biomarkers, the electrochemical biosensors have exhibited sufficient sensitivity, detection limit, and specificity. This review systematically summarizes the latest molecular biomarkers and sensors for heart failure, which will provide comprehensive and cutting-edge authoritative scientific information for biomedical and electronic-sensing researchers in the field of heart failure, as well as patients. In addition, our proposed future outlook may provide new research ideas for researchers.

Nanotoxicity of tungsten trioxide nanosheets containing oxygen vacancy to human umbilical vein endothelial cells.

Because of the excellent performance in photochemistry, WO3 is increasingly applied in the field of biology and medicine. However, little is known about the mechanism of WO3 cytotoxicity. In this work, WO3 nanosheets with oxygen vacancy are synthesized by solvothermal method, then characterized and added to culture medium of human umbilical vein endothelial cells (HUVECs) with different concentrations. We characterized and analyzed the morphology of nano-WO3 by transmission electron microscopy and calculated the specific data of oxygen vacancy by XPS. It is the first time the effect of WO3-x on cells that WO3-x can cause oxidative stress in HUVEC cells, resulting in DNA damage and thus promoting apoptosis. Transcriptome sequencing is performed on cells treated with low and high concentrations of WO3-x, and a series of key signals affecting cell proliferation and apoptosis are detected in differentially expressed genes, which indicates the research direction of nanotoxicity. The expression levels of key genes are also verified by quantitative PCR after cell treatment with different concentrations of WO3-x. This work fills the gap between the biocompatibility of nano WO3-x materials and molecular cytology and paves the way for investigating the mechanism and risks of oxygen vacancy in cancer therapy.

Clinical, Imaging Characteristics and Outcome of Intracerebral Hemorrhage Caused by Structural Vascular Lesions.

BACKGROUND: The objective of this study was to investigate the clinical, imaging, and outcome characteristics of intracerebral hemorrhage (ICH) caused by structural vascular lesions. METHODS: We retrospectively analyzed data from a prospective observational cohort study of patients with spontaneous ICH admitted to the First Affiliated Hospital of Chongqing Medical University between May 2016 and April 2021. Good outcome was defined as modified Rankin Scale score of 0-3 at 3 months. The clinical and imaging characteristics were compared between primary ICH and ICH caused by structural vascular lesions. Multivariable logistic regression analysis was performed to test the associations of etiology with clinical outcome. RESULTS: All patients enrolled in this study were Asian. Compared with patients with primary ICH, those with structural vascular lesions were younger (48 vs. 62 years, P < 0.001), had a lower incidence of hypertension (26.4% vs. 81.7%, P < 0.001) and diabetes (7.4% vs. 16.2%, P = 0.003), and had mostly lobar hemorrhages (49.1% vs. 22.8%). ICH from structural vascular lesions had smaller baseline hematoma volume (8.4 ml vs. 13.8 ml, P = 0.010), had lower mortality rate at 30 days and 3 months (5.8% vs. 12.0%, P = 0.020; 6.7% vs. 14.8%, P = 0.007), and are associated with better functional outcome at 3 months (88% vs.70.3%, P < 0.001). CONCLUSIONS: Compared with primary ICH, ICH due to vascular lesions has smaller hematoma volume and less severe neurological deficit at presentation and better functional outcomes.

Highly Stretchable, Knittable, Wearable Fiberform Hydrovoltaic Generators Driven by Water Transpiration for Portable Self-Power Supply and Self-Powered Strain Sensor.

The development of excellently stretchable, highly mobile, and sustainable power supplies is of great importance for self-power wearable electronics. Transpiration-driven hydrovoltaic power generator (HPG) has been demonstrated to be a promising energy harvesting strategy with the advantages of negative heat and zero-carbon emissions. Herein, this work demonstrates a fiber-based stretchable HPG with the advantages of high output, portability, knittability, and sustainable power generation. Based on the functionalized micro-nano water diffusion channels constructed by the discarded mask straps (MSs) and oxidation-treated carbon nanomaterials, the applied water can continuously produce electricity during the spontaneous flow and diffusion. Experimentally, when a tiny 0.1 mL of water encounters one end of the proposed HPG, the centimeter-length device can yield a peak voltage of 0.43 V, peak current of 29.5 µA, and energy density of 5.833 mW h cm-3. By efficiently integrating multiple power generation units, sufficient output power can be provided to drive commercial electronic devices even in the stretched state. Furthermore, due to the reversibility of the electrical output during dynamic stretching-releasing, it can passively convert physiological activities and motion behaviors into quantifiable and processable current signals, opening up HPG's application in the field of self-powered wearable sensing.

SAH and SAM/SAH ratio associate with acute kidney injury in critically ill patients: A case-control study.

BACKGROUND: Acute kidney injury (AKI) is a serious clinical emergency with an acute onset, rapid progression and poor prognosis, which has high morbidity and mortality in hospitalized patients. DNA methylation plays an important role in the occurrence and progression of kidney disease, and aberrant methylation and certain altered methylation-related metabolites have been reported in AKI patients. However, the specific alterations of methylation-related metabolites in the AKI patients were not investigated clearly. METHOD: In this study, 61 AKI and 61 matched non-AKI inpatients were recruited after propensity score matching the age and hypertension. And 11 methylation-related metabolites in the plasma and urine of the two groups were quantified by using UHPLC-MS/MS method. RESULTS: Certain methylation-relate intermediates were up-regulated in the plasma (choline, trimethylamine N-oxide (TMAO), trimethyl lysine (TML), S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH)) and down-regulated in the urine of AKI inpatients (choline, betaine, TMAO, dimethylglycine (DMG), SAM and taurine). The correlation analysis revealed a relatively strong correlation between plasma SAH, SAM/SAH ratio and renal function index (serum creatinine (SCr) and estimated glomerular filtration rate (eGFR), r = 0.523-0.616), and the correlation of urinary intermediates with renal function index was weaker than that in the plasma. Furthermore, receiver operating characteristic (ROC) analysis showed that plasma SAH and urinary SAM/SAH ratio represented the best distinguishing efficiency with AUC 0.844 and 0.794, respectively. Moreover, the findings of binary regression analysis demonstrated plasma choline, TMAO, TML, SAM and SAH were the risk markers of AKI (up-regulation in plasma, OR > 1), urinary choline, betaine, TMAO, DMG and SAM were protective markers of AKI (down-regulation in urine, OR < 1), and SAM/SAH ratio was a protective marker in plasma and urine (down-regulation in both two biofluids, OR = 0.510, 0.383-0.678 in plasma, OR = 0.904, 0.854-0.968 in urine), indicating the increased risk of AKI when combined with the alteration of plasma and urinary levels. CONCLUSION: The comprehensive analysis of plasma and urine samples from AKI inpatients offers a more extensive assessment of methylated metabolic alterations, suggesting a close relationship between AKI stress and altered methylation ability. The plasma level of SAH and SAM/SAH ratio and urinary SAM/SAH ratio both showed a strong correlation with renal function (SCr and eGFR) and good accuracy for distinguishing AKI in the two biomatrices, which exhibited promising prospects in predicting renal function decline and providing further information for the pathogenesis of AKI.

Identification of combinatorial miRNA panels derived from extracellular vesicles as biomarkers for esophageal squamous cell carcinoma.

MicroRNAs (miRNAs) are relatively stable in blood, emerging as one of the most promising biomarkers in tumor liquid biopsy. Both total and extracellular vesicles (EVs) encapsulated miRNA have been studied for prognostic potential in a variety of cancers. Here, we systematically compared and verified the total and vesicle-derived miRNA expression profiles from plasma samples in healthy controls and patients with esophageal squamous cell carcinoma (ESCC). In the present study, four miRNA species miR-636, miR-7641, miR-28-3p, and miR-1246 that were differentially expressed in ESCC patients were chosen for further study. We first elucidated their essential function in ESCC progression and further explored their preliminary mechanism by identifying target proteins and involving signal pathways. Subsequently, the prognostic miRNA panels including miR-636, miR-7641, miR-1246, and miR-28-3p for ESCC diagnosis were constructed and validated using different cohort. Our results showed that the panel including the above four miRNAs derived from plasma EVs was most effective in distinguishing tumor patients from normal subjects, while integrated plasma EVs-derived miR-1246, miR-28-3p and total plasma miRNAs miR-636, miR-7641 showed the best capability in predicting lymph node metastasis. In summary, our studies revealed that plasma EVs-derived miRNAs could be emerged as promising biomarkers for ESCC diagnosis.

Busulfan-induced hepatic sinusoidal endothelial cell injury: Modulatory role of pirfenidone for therapeutic purposes.

Transplantation conditioning using Busulfan has been known to cause hepatotoxicity, which has great individual differences. Some have mild symptoms like the increase of hepatic drug-metabolizing enzyme, while others may have very serious ones, like hepatic sinusoidal obstruction syndrome. However, simply controlling the exposure of Busulfan may not effectively prevent or reduce the occurrence of hepatic sinusoidal obstruction syndrome. The occurrence of hepatic sinusoid obstruction syndrome is closely related to hepatic sinusoidal endothelial cells (HSECs). The objective of this study is to investigate the potential protective effect of Pirfenidone against Busulfan-induced damage to hepatic sinusoidal endothelial cells and to preliminarily explore the mechanisms underlying this protective effect. Our results indicate that Pirfenidone has a great protective effect on the injury induced by Busulfan. In addition, Busulfan increased the relative mRNA expression of transforming growth factor-ß1 (TGF-ß1), collagen and tissue inhibitor of metalloproteinase-1 in HSECs. After pretreatment with Pirfenidone, the expression level of TGF-ß1 was down-regulated. Mechanically, Pirfenidone primarily improves liver fibrosis by inhibiting collagen formation and hepatic stellate cell activation, thereby providing a protective effect on HSECs damaged by Busulfan. Therefore, Pirfenidone may reduce the hepatotoxicity caused by transplantation conditioning regimens based on Busulfan.

Microbiome changes involves in mercaptopurine mediated anti-inflammatory response in acute lymphoblastic leukemia mice.

BACKGROUND: Inflammasome has been reported to play an important role in the pathogenesis and progression of hematologic malignancies. As one of the backbone drugs for treating acute lymphoblastic leukemia (ALL), the anti-inflammatory effect of mercaptopurine (6-MP) and the impact of gut microbiome changes caused by 6-MP on anti-inflammasome remain unclear. OBJECTIVE: We aimed to explore the association between 6-MP therapeutic effects and microbiome-involved inflammatory responses in ALL mice models. STUDY DESIGN: ALL murine model was built by i.v. injecting murine L1210 cells into DBA/2 mice (model group). Two weeks after cell injections, 6-MP was orally administrated for 14 days (6-MP group). Fecal samples of mice were collected at different time points. Cecum short-chain fatty acids (SCFAs) concentrations were determined by LC-MS/MS method. Serum cytokines were measured using a cytometric bead array. Gut microbiota composition in mice was explored using 16S rRNA gene sequencing. RESULTS: The anti-tumor effect of 6-MP was proved in ALL mice models. The levels of pro-inflammatory factors IL-6 and TNFα significantly decreased after the administration of 6-MP. Cecum contents' acetate, propionate, and butyrate levels were negatively correlated with IL-6 (correlation coefficient: acetate, -0.24; propionate, -0.26; butyrate, -0.17) and TNFα (correlation coefficient: acetate, -0.45; propionate, -0.42; butyrate, -0.31) changes. Relative abundance changes of f_Lachnospiraceae.g_ASF356 and f_Peptococcaceae.g_uncultured were in accordance with the changes of butyrate levels and opposite to the changes of pro-inflammatory levels. CONCLUSION: The anti-inflammatory response of 6-MP influenced by intestinal microbiota and its metabolites SCFAs, especially butyrate, played an essential role in improving ALL progression.

MSKD: Structured knowledge distillation for efficient medical image segmentation.

In recent years, deep learning has revolutionized the field of medical image segmentation by enabling the development of powerful deep neural networks. However, these models tend to be complex and computationally demanding, posing challenges for practical implementation in clinical settings. To address this issue, we propose an efficient structured knowledge distillation framework that leverages a powerful teacher network to assist in training a lightweight student network. Specifically, we propose the Feature Filtering Distillation method, which focuses on transferring region-level semantic information while minimizing redundant information transmission from the teacher to the student network. This approach effectively mitigates the problem of inaccurate segmentation caused by similar internal organ characteristics. Additionally, we propose the Region Graph Distillation method, which exploits the higher-order representational capabilities of graphs to enable the student network to better imitate structured semantic information from the teacher. To validate the effectiveness of our proposed methods, we conducted experiments on the Synapse multi-organ segmentation and KiTS kidney tumor segmentation datasets using various network models. The results demonstrate that our method significantly improves the segmentation performance of lightweight neural networks, with improvements of up to 18.56% in Dice coefficient. Importantly, our approach achieves these improvements without introducing additional model parameters. Overall, our proposed knowledge distillation methods offer a promising solution for efficient medical image segmentation, empowering medical experts to make more accurate diagnoses and improve patient treatment.

Regulating the Polypyrrole Ion-Selective Membrane and Au Solid Contact Layer to Improve the Performance of Nitrate All-Solid Ion-Selective Electrodes.

With polymerization duration and Au3+ concentration of the electrolyte regulated, a desirable nitrate-doped polypyrrole ion-selective membrane (PPy(NO3-)-ISM) and Au solid contact layer of anticipate surface morphology were obtained, and the performance of nitrate all-solid ion-selective electrodes (NS ISEs) was improved. It was found that the roughest PPy(NO3-)-ISM remarkably increases the actual contact surface area of the PPy(NO3-)-ISMs with nitrate solution, which leads to better adsorption of NO3- ions upon the PPy(NO3-)-ISMs, and produces a larger number of electrons. The most hydrophobic Au solid contact layer avoids the formation of the aqueous layer at the interface between the PPy(NO3-)-ISM and Au solid contact layer, and ensures unimpeded transporting of the produced electrons. The PPy-Au-NS ISE for polymerization duration 1800 s and at Au3+ concentration 2.5 mM of the electrolyte displays an optimal nitrate potential response, including a Nernstian slope of 54.0 mV/dec, LOD of 1.1 × 10-4 M, rapid average response time less than 1.9 s, and long-term stability of more than 5 weeks. This indicates that the PPy-Au-NS ISE is an effective working electrode for the electrochemical determination of NO3- concentration.

Transmembrane capability of DNA origami sheet enhanced by 3D configurational changes.

DNA origami-engineered nanostructures are widely used in biomedical applications involving transmembrane delivery. Here, we propose a method to enhance the transmembrane capability of DNA origami sheets by changing their configuration from two-dimensional to three-dimensional. Three DNA nanostructures are designed and constructed, including the two-dimensional rectangular DNA origami sheet, the DNA tube, and the DNA tetrahedron. The latter two are the variants of the DNA origami sheet with three-dimensional morphologies achieved through one-step folding and multi-step parallel folding separately. The design feasibility and structural stability of three DNA nanostructures are confirmed by molecular dynamics simulations. The fluorescence signals of the brain tumor models demonstrate that the tubular and the tetrahedral configurational changes could dramatically increase the penetration efficiency of the original DNA origami sheet by about three and five times, respectively. Our findings provide constructive insights for further rational designs of DNA nanostructures for transmembrane delivery.

Combination of size-exclusion chromatography and ion exchange adsorption for improving the proteomic analysis of plasma-derived extracellular vesicles.

Extracellular vesicles (EVs) are lipid membrane vesicles released by live cells that carry a variety of biomolecules, including nucleic acids, lipids, and proteins. Recently, proteins in plasma-derived EVs have emerged as novel biomarkers with essential functions in the diagnosis and prognosis of human diseases. However, the current methods of isolating EVs from plasma often lead to coisolated impurities in biological fluids. Therefore, before performing any research protocol, the process of extracting EVs from plasma for proteomic analysis must be optimized. In this study, two EV isolation strategies, size exclusion chromatography (SEC) and SEC combined with ion exchange adsorption (SEC + IEA), were compared in terms of the purity and quantity of protein in EVs. Our results demonstrated that, compared to single-step SEC, SEC combined with IEA could produce plasma-derived EVs with a higher purity by decreasing the abundance of lipoprotein. Additionally, with MS analysis, we demonstrated that the combination approach maintained the stability and improved the purity of EVs in many plasma samples. Furthermore, by combining SEC with IEA, more cancer-associated proteins were detected in the plasma of various cancer samples.

Sensitive HPLC-DMS/MS/MS method coupled with dispersive magnetic solid phase extraction followed by in situ derivatization for the simultaneous determination of multiplexing androgens and 17-hydroxyprogesterone in human serum and its application to patients with polycystic ovarian syndrome.

BACKGROUND AND AIMS: Androgens play important roles in polycystic ovarian syndrome (PCOS). However, measures of androgens based on mass spectrometry (MS) remain complex due to endogenous inferences of isomers or compounds with similar structures. Lack of sensitivity can also affect the accurate quantification of androgens, especially for very low level of 11-oxygenated androgens. MATERIALS AND METHODS: We developed a fast and sensitive high-performance liquid chromatography-differential mobility spectrometry tandem mass spectrometry (HPLC-DMS/MS/MS) method for the simultaneous determination of seven androgens and 17-hydroxyprogesterone. Dispersive magnetic solid phase extraction (DMSPE) was conducted with core-shell structured nanoparticles of magnetic graphene oxide (Fe3O4@GO). In situ derivatization was performed using Girard's Reagent P. RESULTS: Linear ranges of the eight analytes were set in terms of clinical use. Intra- and inter-run precisions were < 16.7 % and 12.9 % for all the analytes and relative error was - 14.7-13.3 % and - 9.3-11.0 %, respectively. Extraction recoveries were 54.0-92.7 % for different analytes. The method was validated and was applied to assay 432 clinical samples. CONCLUSION: The developed method is green, fast, sensitive and accurate for the determination of endogenous androgens. It can be readily implemented in medical laboratories to provide superior analytical performance over the traditional electrochemiluminescence immunoassay method.

Population pharmacokinetics of ruxolitinib in children with hemophagocytic lymphohistiocytosis: focus on the drug-drug interactions.

PURPOSE: The optimal dose regimen of ruxolitinib (RUX) in children with hemophagocytic lymphohistiocytosis (HLH) remains to be determined. The aim was to develop and verify a population pharmacokinetic (PPK) model, and then provide references for the optimization of dose regimen of RUX in children with HLH. METHODS: A total of 189 RUX concentrations from 32 children were included. The PPK model was established using the nonlinear mixed-effects model approach. Predictive performance and stability of the final PPK model were evaluated. The exposure of RUX in different clinical scenarios was simulated through Monte Carlo simulations. RESULTS: A one-compartment model with first-order absorption and linear elimination was identified to describe the disposition of RUX. The absorption rate constant (Ka) in the final PPK model was 1.05 h-1, and the apparent clearance (CL/F) and volume of distribution (V/F) were 9.80 L/h and 30.6 L, respectively. Coadministration with triazoles (TZS) and azithromycin (AZM) resulted in approximately 31.0% and 32.4% reductions in the CL/F of RUX, respectively. Multiple evaluation procedures showed satisfactory predictive performance and stability of the final model. Monte Carlo simulations showed that the exposure of RUX was significantly affected by the coadministration with TZS and/or AZM under different clinical scenarios. CONCLUSION: For the first time, a PPK model of RUX in children with HLH was developed and evaluated. The coadministration with TZS and/or AZM were found to reduce the clearance of RUX in children. These findings could provide new insights for the precise treatment of RUX in children with HLH.

The SON2A2 score: A novel grading scale for predicting hemorrhage and outcomes after thrombolysis.

Objectives: This study aimed to develop a score including novel putative predictors for predicting the risk of sICH and outcomes after thrombolytic therapy with intravenous (IV) recombinant tissue-type plasminogen activator (r-tPA) in acute ischemic stroke patients. Methods: All patients with acute ischemic stroke treated with IV r-tPA at three university-based hospitals in Chongqing, China, from 2014 to 2019 were retrospectively studied. Potential risk factors associated with sICH (NINDS criteria) were determined with multivariate logistic regression, and we developed our score according to the magnitude of logistic regression coefficients. The score was validated in another independent cohort. Area under the receiver operating characteristic curve (AUC-ROC) was used to assess the performance of the score. Calibration was evaluated using the Hosmer-Lemeshow goodness-of-fit method. Results: The SON2A2 score (0 to 8 points) consisted of history of smoking (no = 1, yes = 0, ß = 0.81), onset-to-needle time (≥3.5 = 1,<3.5=0, ß = 0.74), NIH Stroke Scale on admission (>10 = 2, ≤10 = 0, ß = 1.22), neutrophil percentage (≥80.0% = 1, <80% = 0, ß = 0.81), ASPECT score (≤11 = 2, >11 = 0, ß = 1.30), and age (>65 years = 1, ≤65 years = 0, ß = 0.89). The SON2A2 score was strongly associated with sICH (OR 1.98; 95%CI 1.675-2.34) and poor outcomes (OR 1.89; 95%CI 1.68-2.13). AUC-ROC in the derivation cohort was 0.82 (95%CI 0.77-0.86). Similar results were obtained in the validation cohort. The Hosmer-Lemeshow test revealed that predicted and observed event rates in derivation and validation cohorts were very close. Conclusion: The SON2A2 score is a simple, efficient, quick, and easy-to-perform scale for predicting the risk of sICH and outcome after intravenous r-tPA thrombolysis within 4.5 h in patients with ischemic stroke, and risk assessment using this test has the potential for early and personalized management of this disease in high-risk patients.

An Analysis of Total Arch Re-Replacement After Proximal Aortic Surgery.

BACKGROUND: After proximal aortic surgery, total arch replacement (TAR) may again be needed because of recurrent dissection or aneurysm. This paper analyzed the relevant data of this technology with hopes of improving cognition and treatment. METHODS: There were a total of 60 eligible cases of secondary TAR after proximal aortic surgery in our center from 2010 to 2020. The primary surgical procedures included aortic valve replacement (AVR), ascending aortic replacement, Bentall, hemi-arch replacement, and thoracic endovascular aortic repair (TEVAR). The data were analyzed using the IBM SPSS Statistics 23.0 for Windows™ and presented as the mean ± standard deviations and direct frequencies, as appropriate. RESULTS: The interval between two operations was 44.8±53.6 months, 24 cases (40%) underwent emergency operation, the recurrence of type A dissection included 51 cases, accounting for 85% of the causes of total arch re-replacement. In the second surgical procedures, the ascending + TAR + stented elephant trunk (SET) implantation accounted for 75.0%. The overall surgical success rate was 98.3%. Postoperative respiratory complications were the most common, including infection, pneumothorax and hemothorax in 21 cases (35.6%). The second most common complication was acute kidney injury (AKI) in six cases (10.2%), and neurological complications took place in three cases (5.1%). The 30-day mortality rate was 15.3% and the 1-, 3- and 5-year survival rates were 96.0%, 84.0%, and 76.0%, respectively. CONCLUSIONS: The recurrence of dissection is the main cause of TAR after proximal aortic surgery, followed by aneurysm and the resurgical criteria for aneurysm needs to be unified. In addition to TAR, SET also is widely used. Despite high early mortality, its long-term prognosis is acceptable.

Association between Serum Cystatin C levels and long-term cardiovascular outcomes and all-cause mortality in older patients with obstructive sleep apnea.

Background and Aims: To investigate the association between obstructive sleep apnea (OSA) severity and baseline serum cystatin C (Cys-C) concentration and to explore the association between baseline serum Cys-C and long-term cardiovascular outcomes and mortality in older patients with OSA. Methods: Between January 2015 and October 2017, a total of 1107 consecutive eligible older patients (≥60 years) with OSA were included in this multicenter, prospective cohort study, and baseline demographics, clinical characteristics, sleep parameters, and follow-up outcomes were collected. Participants were divided into different groups based on baseline serum Cys-C levels. The primary end point was major adverse cardiovascular events (MACE) and the secondary end point was all-cause mortality. The correlation between OSA severity and baseline serum Cys-C was evaluated by Spearman correlation analysis. Multivariate Cox regression was used to analyze the association between Cys-C and the incidence of MACE and mortality. Results: Participants included 672 men and 435 women, with a median age of 66 (range, 60-96) years. At baseline, apnea-hypopnea index (AHI) (r = 0.128, p < 0.05), oxygen desaturation index (ODI) (r = 0.116, p < 0.05), and the lowest pulse oxygen saturation (LSpO2) (r = -0.097, p < 0.05) were correlated with serum Cys-C concentration. During the median follow-up period of 42 months, 97 patients (8.8%) experienced MACE and 40 patients (3.6%) experienced death. The association between serum Cys-C levels and the risk of MACE and all-cause mortality was slow rising shaped. The multivariable Cox regression analysis showed patients with a serum Cys-C concentration of ≥1.14 mg/L had higher risks of MACE (HR = 5.30, 95% CI: 2.28-12.30, p < 0.05) and all-cause mortality (HR = 9.66, 95% CI: 2.09-44.72, p < 0.05) compared with patients with serum Cys-C of ≤0.81 mg/L in older patients with OSA. The receiver-operating characteristic curve showed baseline serum Cys-C levels exhibited moderately capable of identifying patients with a long-term risk of clinical adverse events (MACE and mortality). Conclusion: OSA severity was positively correlated with serum Cys-C concentration. High levels of Cys-C were independently associated with increased risks of MACE and all-cause mortality in older patients with OSA, suggesting that lowering Cys-C levels should be considered as a therapeutic target, and monitoring serum Cys-C may be beneficial to the favorable prognosis of older patients with OSA.