Association between hyperuricemia and diabetic nephropathy: insights from the national health and nutrition examination survey 2007-2016 and mendelian randomization analysis.

BACKGROUND: This study aimed to investigate the role of uric acid (UA) in diabetic nephropathy (DN) from epidemiological and genetic perspectives. METHODS: We used data from the 2007-2016 National Health and Nutrition Examination Survey to evaluate the relationship between UA and DN risk using weighted multivariate-adjusted logistic regression. Subsequently, a two-sample Mendelian randomization study was conducted using genome-wide association study summary statistics. The main inverse variance weighting (IVW) method and supplementary MR method were used to verify the causal relationship between UA and DN, and sensitivity analysis was conducted to confirm the credibility of the results. RESULTS: Our observational study enrolled 4363 participants with diabetes mellitus from NHANES, among them, 2682 (61.4%) participants were identified as DN. The multivariate logistic regression model showed that compared with those without hyperuricemia, the DN risk of the hyperuricemia population was significantly increased (P < 0.05). The MR results suggest a direct causal effect of hyperuricemia on DN (IVW odds ratio (OR): 1.37 (95% confidence interval 1.07-1.76); P = 0.01), which is consistent with findings from other MR methods. CONCLUSION: The evidence from observational studies indicates a positive correlation between HUA and the onset of DN. And the causal effects of HUA on DN were supported by the MR analysis.

The Effects of Carotid Revascularization on 1-Year Cognitive Performance in Patients With Carotid Artery Stenosis.

PURPOSE: The impact of carotid revascularization on cognitive function for patients with severe carotid artery stenosis remains uncertain. This study is aimed to investigate the 1-year neurocognitive outcomes of patients who accept carotid revascularization and identify the risk factors associated with postoperative cognitive decline. METHODS: From April 2019 to April 2021, patients with ≥70% carotid artery stenosis who were treated with carotid endarterectomy (CEA) or carotid artery stenting (CAS) were recruited for this study. The Montreal Cognitive Assessment (MoCA) instrument was used to evaluate cognitive function preoperatively and at 3, 6, and 12 months postoperatively. Logistic regression analysis was built to identify potential risk factors for postoperative long-term cognitive decline. RESULTS: A total of 89 patients who met the criteria were enrolled and completed 1-year follow-up. At 3, 6, and 12 months after carotid revascularization, the total MoCA score, attention, language fluency, and delayed recall score were significantly improved compared with the baseline scores (p<0.05). At 12 months, there was also a significant improvement in cube copying compared with baseline (p=0.034). Logistic regression analysis showed that the advancing age, left side, and symptomatic carotid artery stenosis were independent risk factors for cognitive deterioration at 12 months after surgery. CONCLUSIONS: Overall, carotid revascularization has a beneficial effect on cognition function in patients with severe carotid artery stenosis, while advancing age, left side, and symptomatic carotid artery stenosis were significantly related to a decreased cognitive score after carotid revascularization. CLINICAL IMPACT: This study focused on the changes in cognitive function within 1 year after carotid revascularization in patients with severe carotid stenosis. Of course, carotid revascularization can improve the cognition function in these patients. On the other hand, we found the advancing age, left side and symptomatic carotid artery stenosis were significantly associated with decreased cognitive scores at 1 year after carotid revascularization, which suggests that clinicians may need to be aware of patients with these characteristics.

Navigating the future of diabetes: innovative nomogram models for predicting all-cause mortality risk in diabetic nephropathy.

OBJECTIVE: This study aims to establish and validate a nomogram model for the all-cause mortality rate in patients with diabetic nephropathy (DN). METHODS: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. A random split of 7:3 was performed between the training and validation sets. Utilizing follow-up data until December 31, 2019, we examined the all-cause mortality rate. Cox regression models and Least Absolute Shrinkage and Selection Operator (LASSO) regression models were employed in the training cohort to develop a nomogram for predicting all-cause mortality in the studied population. Finally, various validation methods were employed to assess the predictive performance of the nomogram, and Decision Curve Analysis (DCA) was conducted to evaluate the clinical utility of the nomogram. RESULTS: After the results of LASSO regression models and Cox multivariate analyses, a total of 8 variables were selected, gender, age, poverty income ratio, heart failure, body mass index, albumin, blood urea nitrogen and serum uric acid. A nomogram model was built based on these predictors. The C-index values in training cohort of 3-year, 5-year, 10-year mortality rates were 0.820, 0.807, and 0.798. In the validation cohort, the C-index values of 3-year, 5-year, 10-year mortality rates were 0.773, 0.788, and 0.817, respectively. The calibration curve demonstrates satisfactory consistency between the two cohorts. CONCLUSION: The newly developed nomogram proves to be effective in predicting the all-cause mortality risk in patients with diabetic nephropathy, and it has undergone robust internal validation.

Association of secondhand smoke exposure with all-cause mortality and cardiovascular death in patients with hypertension: Insights from NHANES.

BACKGROUND AND AIM: The impact of environmental chemical exposure on blood pressure (BP) is well-established. However, the relationship between secondhand smoke exposure (SHSE) and mortality in hypertensive patients in the general population remains unclear. METHODS AND RESULTS: This cohort study included US adults in the National Health and Nutrition Examination Survey from 2007 to 2018. All-cause mortality and cause-specific mortality outcomes were determined by associating them with the National Death Index records. Cox proportional risk models were used to estimate hazard ratios (HRs) for all-cause mortality and cardiovascular disease (CVD) mortality, and 95% confidence intervals (CIs) for SHSE. The cohort included 10,760 adult participants. The mean serum cotinine level was 0.024 ng/mL. During a mean follow-up period of 76.9 months, there were 1729 deaths, including 469 cardiovascular disease deaths recorded. After adjusting for lifestyle factors, BMI, hypertension duration, medication use, and chronic disease presence, the highest SHSE was significantly associated with higher all-cause and CVD mortality. CONCLUSIONS: This study demonstrates that higher SHSE is significantly associated with higher all-cause mortality and CVD mortality. Further research is necessary to elucidate the underlying mechanisms.

Association of serum 25-hydroxyvitamin D concentration with all-cause and cause-specific mortality in hypertensive patients.

BACKGROUND AND AIMS: To examine the association of serum 25-hydroxyvitamin D [25(OH)D] with all-cause mortality and disease-specific mortality in patients with hypertension. METHODS AND RESULTS: This cohort study included US adults in the National Health and Nutrition Examination Survey from 2007 to 2018. All-cause mortality and cause-specific mortality outcomes were determined by association with National Death Index records. Cox proportional risk models were used to estimate hazard ratios (HRs) for all-cause mortality and cause-specific mortality and 95% confidence intervals (CIs) for serum 25(OH)D concentrations. The cohort included 10,325 adult participants. The mean serum 25(OH)D level was 65.87 nmol/L, and 32.2% of patients were vitamin D deficient (<50 nmol/L). During a mean follow-up of 77 months, 1290 deaths were recorded, including 345 cardiovascular deaths and 237 cancer deaths. Patients with higher serum 25(OH)D were more likely to have lower all-cause mortality and cardiovascular mortality than those with serum 25(OH)D < 25.00 nmol/L. For cancer mortality in hypertensive patients, vitamin D may not have a predictive role in this. CONCLUSIONS: This study shows that higher 25(OH)D levels are significantly associated with lower all-cause mortality and cardiovascular disease (CVD) mortality. These findings suggest that maintaining adequate vitamin D status may reduce the risk of death in patients with hypertension.

Comparison of Different Endovascular Treatments of Femoropopliteal Artery In-Stent Restenosis: A Systematic Review and Bayesian Network Meta-Analysis.

BACKGROUND: This Bayesian network meta-analysis (NMA) sought to evaluate the efficacy of different endovascular treatments for femoropopliteal artery in-stent restenosis (FP-ISR). METHODS: PubMed, Embase, Cochrane Central Register of Controlled Trials, and Web of science for clinical trials from database inception to March 31, 2023, with no language restrictions to retrieve randomized controlled trials or cohort studies evaluating the impact of any kind of endovascular treatments for FP-ISR. Pair-wise meta-analysis and Bayesian NMA were performed to pool the outcome estimates different endovascular treatments. The primary end points under consideration were primary patency rates at both 6-month and 12-month follow-up. RESULTS: A total of 15 studies with 1,424 patients were ultimately enrolled to be analyzed, 7 types of endovascular treatment were identified for comparison. In terms of primary patency and freedom from target lesion revascularization (TLR) at 6-month and12-month follow-up, the direct meta-analysis findings showed that drug-coated balloons (DCB) and covered stent (CS) are considerably superior to plain old balloon angioplasty (POBA), Excimer laser atherectomy (ELA) + DCB is significantly better than DCB. According to the meta-analysis based on Bayesian theory, during the 6-month and 12-months follow-up, we could not find significant difference between the different treatments in terms of the primary patency and the freedom from TLR, based on the surface values under the cumulative ranking curve (SUCRA), CS was considered the best treatment in terms of primary patency (6 months SUCRA = 85.2; 12 months SUCRA = 78.9) and freedom from TLR (6 months SUCRA = 84.9; 12 months SUCRA = 70.9); directional atherectomy + POBA may lead to higher survival rate at 12 months (SUCRA = 89.1) than others treatments; in addition, both ELA + POBA and ELA + DCB have higher limb salvage than POBA. CONCLUSIONS: The findings of this NMA suggest that CS showed positive encouraging results in primary patency and TLR in FP-ISR at 6 and 12 months. However, due to the potential influence of certain confounding factors, the long-term results necessitate validation through numerous randomized controlled trials.

Comparison Between Conventional and Patch Carotid Endarterectomy: A Single-Center Retrospective Study.

OBJECTIVE: To compare perioperative and long-term safety and effectiveness between conventional carotid endarterectomy (cCEA) and patch carotid endarterectomy (pCEA) under current medical conditions. METHODS: Data on baseline characteristics as well as perioperative and long-term postoperative complications from patients who underwent cCEA or pCEA at the Department of Vascular Surgery, Xuanwu Hospital of Capital Medical University, from 2013 to 2022, were retrospectively collected and analyzed. RESULTS: A total of 248 CEA patients were included in our study. The majority of patients (87.3%) were male, and mean age was 63.6 ± 7.6 (range, 40-81) years; 104 patients (41.9%) underwent cCEA, while 144 (58.1%) underwent pCEA. Between the cCEA and pCEA groups, there were no significant differences in clinical baseline characteristics, occurrence of perioperative or long-term (median, 42.5 [range, 7 to 120] months) complications, and survival whether restenosis-free, asymptomatic or overall. CONCLUSIONS: In a single-center experience, conventional and patch CEA approaches appear similarly safe and effective.

Unveiling the Hidden Burden: Estimating All-Cause Mortality Risk in Older Individuals with Type 2 Diabetes.

Background: The mortality rate among older persons with diabetes has been steadily increasing, resulting in significant health and economic burdens on both society and individuals. The objective of this study is to develop and validate a predictive nomogram for estimating the 5-year all-cause mortality risk in older persons with T2D (T2D). Methods: We obtained data from the National Health and Nutrition Survey (NHANES). A random 7 : 3 split was made between the training and validation sets. By linking the national mortality index up until December 31, 2019, we ensured a minimum of 5 years of follow-up to assess all-cause mortality. A nomogram was developed in the training cohort using a logistic regression model as well as a least absolute shrinkage and selection operator (LASSO) regression model for predicting the 5-year risk of all-cause mortality. Finally, the prediction performance of the nomogram is evaluated using several validation methods. Results: We constructed a comprehensive prediction model based on the results of multivariate analysis and LASSO binomial regression. These models were then validated using data from the validation cohort. The final model includes four independent predictors: age, gender, estimated glomerular filtration rate, and white blood cell count. The C-index values for the training and validation cohorts were 0.748 and 0.762, respectively. The calibration curve demonstrates satisfactory consistency between the two cohorts. Conclusions: The newly developed nomogram proves to be a valuable tool in accurately predicting the 5-year all-cause mortality risk among older persons with diabetes, providing crucial information for tailored interventions.

MiR-326 sponges TET2 triggering imbalance of Th17/Treg differentiation to exacerbate pyroptosis of hepatocytes in concanavalin A-induced autoimmune hepatitis.

INTRODUCTION AND OBJECTIVES: MicroRNA-326 is abnormally expressed in autoimmune diseases, but its roles in autoimmune hepatitis (AIH) are unknown. In this study, we aimed to investigate the effect of miR-326 on AIH and the underlying mechanism. MATERIALS AND METHODS: Concanavalin A was administrated to induce AIH in mice and the expression levels of miR-326 and TET2 was evaluated by qRT-PCR and western blot, respectively. The percentages of Th17 and Treg cells were evaluated by flow cytometry and their marker proteins were determined by western blot and ELISA. The mitochondrial membrane potential (MMP) and ROS level were tested with the JC-1 kit and DCFH-DA assay. The binding relationships between miR-326 and TET2 were verified by dual-luciferase reporter assay. The liver tissues were stained by the HE staining. In vitro, AML12 cells were cocultured with mouse CD4+T cells. The expression levels of pyroptosis-related proteins were assessed by western blot. RESULTS: Concanavalin A triggered AIH and enhanced the expression level of miR-326 in mice. It increased both Th17/Treg ratio and the levels of their marker proteins. The expression of TET2 was decreased in AIH mice. Knockdown of miR-326 could decrease the levels of pyroptosis-related proteins, the ROS level and increase MMP. In mouse CD4+T cells, miR-326 sponged TET2 to release IL-17A. Coculture of AML12 cells with isolated CD4+T cells from miR-326 knockdown AIH mice could relieve pyroptosis. CONCLUSIONS: Knockdown of miR-326 exerted anti-pyroptosis effects via suppressing TET2 and downstream NF-κB signaling to dampen AIH. We highlighted a therapeutic target in AIH.

Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning.

The assessment of dissolved oxygen (DO) concentration at the sea surface is essential for comprehending the global ocean oxygen cycle and associated environmental and biochemical processes as it serves as the primary site for photosynthesis and sea-air exchange. However, limited comprehensive measurements and imprecise numerical simulations have impeded the study of global sea surface DO and its relationship with environmental challenges. This paper presents a novel spatiotemporal information embedding machine-learning framework that provides explanatory insights into the underlying driving mechanisms. By integrating extensive in situ data and high-resolution satellite data, the proposed framework successfully generated high-resolution (0.25° × 0.25°) estimates of DO concentration with exceptional accuracy (R2 = 0.95, RMSE = 11.95 µmol/kg, and test number = 2805) for near-global sea surface areas from 2010 to 2018, uncertainty estimated to be ±13.02 µmol/kg. The resulting sea surface DO data set exhibits precise spatial distribution and reveals compelling correlations with prominent marine phenomena and environmental stressors. Leveraging its interpretability, our model further revealed the key influence of marine factors on surface DO and their implications for environmental issues. The presented machine-learning framework offers an improved DO data set with higher resolution, facilitating the exploration of oceanic DO variability, deoxygenation phenomena, and their potential consequences for environments.

Identification of potential hub genes and regulatory networks of smoking-related endothelial dysfunction in atherosclerosis using bioinformatics analysis.

BACKGROUND: Endothelial dysfunction, the earliest stage of atherosclerosis, can be caused by smoking, but its molecular mechanism requires further investigation. OBJECTIVE: This study aimed to use bioinformatics analysis to identify potential mechanisms involved in smoking-related atherosclerotic endothelial dysfunction. METHODS: The transcriptome data used for this bioinformatics analysis were obtained from the Gene Expression Omnibus (GEO) database. The GSE137578 and GSE141136 datasets were used to identify common differentially expressed genes (co-DEGs) in endothelial cells treated with oxidized low-density lipoprotein (ox-LDL) and tobacco. The co-DEGs were annotated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomics (KEGG) databases. Additionally, a protein-protein interaction (PPI) network was constructed to visualize their interactions and screen for hub genes. GSE120521 dataset was used to verify the expression of hub genes in unstable plaques. The miRNA expression profile GSE137580 and online databases (starBase 2.0, TargetScan 8.0 and DGIdb v4.2.0) were used to predict the related non-coding RNAs and drugs. RESULTS: A total of 232 co-DEGs were identified, including 113 up-regulated genes and 119 down-regulated genes. These DEGs were primarily enriched in detrimental autophagy, cell death, transcription factors, and cytokines, and were implicated in ferroptosis, abnormal lipid metabolism, inflammation, and oxidative stress pathways. Ten hub genes were screened from the constructed PPI network, including up-regulated genes such as FOS, HMOX1, SQSTM1, PTGS2, ATF3, DDIT3, and down-regulated genes MCM4, KIF15, UHRF1, and CCL2. Importantly, HMOX1 was further up-regulated in unstable plaques (p= 0.034). Finally, a regulatory network involving lncRNA/circRNA-miRNA-hub genes and drug-hub genes was established. CONCLUSION: Atherosclerotic endothelial dysfunction is associated with smoking-induced injury. Through bioinformatics analysis, we identified potential mechanisms and provided potential therapeutic targets.

Chronic Rhinosinusitis and Premorbid Gastrointestinal Tract Diseases: A Population-Based Case-Control Study.

Objectives: The primary aim was to determine the prevalence of gastrointestinal diseases in patients with chronic rhinosinusitis (CRS), utilizing the National Health Insurance Research Database (NHIRD) in Taiwan. Several studies have supported the existence of distinct immune patterns between the Asian and Western populations in CRS patients. Through the population-based case-control study, we could compare the differences between various regions and provide further treatment strategies for subsequent studies in Asian CRS patients. The secondary aim was to assess whether different types of CRS influence the correlation with specific GI diseases. Understanding how different phenotypes or endotypes of CRS may relate to distinct GI disease patterns could provide valuable insights into the underlying mechanisms and potential shared pathways between these conditions. Methods: We use the NHIRD in Taiwan. Newly diagnosed patients with CRS were selected between January 1, 2001 and December 31, 2017 as the case group, and the controls were defined as individuals without a history of CRS. Patients with CRS were divided into two groups: with nasal polyps and without nasal polyps. We also separated GI tract diseases into four groups based on their different pathophysiologies. Results: This study included 356,245 participants (CRS: 71,249 and control: 284,996). The results showed that CRS was significantly associated with some specific GI tract diseases, including acute/chronic hepatitis B, gastroesophageal reflux disease (GERD) with/without esophagitis, achalasia of cardia, peptic/gastrojejunal ulcer, Crohn's disease, and ulcerative colitis. In addition, when CRS was subcategorized into chronic rhinosinusitis with nasal polyps (CRSwNP) and chronic rhinosinusitis without nasal polyps (CRSsNP), GERD with esophagitis and peptic ulcer were significantly associated with CRSsNP. Conclusions: A significant association between CRS and premorbid GI tract diseases has been identified. Remarkably, GERD with esophagitis and peptic ulcer were significantly associated with CRSsNP. The underlying mechanisms require further investigation and may lead to new treatments for CRS. Researchers can further investigate the mechanisms by referring to our classification method to determine the implications for diagnosis and treatment.

Association of prognostic nutritional index with the risk of all-cause mortality and cardiovascular mortality in patients with type 2 diabetes: NHANES 1999-2018.

INTRODUCTION: There is little bulk clinical evidence on nutritional status and mortality in patients with diabetes. The purpose of this study was to examine the relationship between prognostic nutritional index (PNI) and all-cause mortality and cardiovascular mortality in adults with diabetes. RESEARCH DESIGN AND METHODS: This study included 5916 adult patients with diabetes from the National Health and Nutrition Examination Survey 1999-2018. Cox proportional risk models were used to estimate risk ratios (HRs) and 95% CIs for all-cause mortality, cardiovascular disease (CVD) mortality. RESULTS: During a mean follow-up of 8.17 years, there were 1248 deaths from all causes and 370 deaths from CVD. After multivariate adjustment, the risk of all-cause mortality was reduced by 24%, 38%, and 28% in Q2 (49.0-52.99), Q3 (53.0-57.99), and Q4 (≥58.0), respectively, compared with Q1 (PNI<49.0). The risk of cardiovascular mortality was reduced by 30%, 27%, and 26%, respectively. Consistent results were observed in the subgroup analysis. CONCLUSIONS: Lower serum PNI levels were significantly associated with higher all-cause and CVD mortality. These findings suggest that maintaining an appropriate range of serum PNI status may reduce the risk of death in patients with diabetes.

Association of the controlling nutritional status score with all-cause mortality and cancer mortality risk in patients with type 2 diabetes: NHANES 1999-2018.

OBJECTIVE: There are studies on the nutritional status of type 2 diabetes (T2D), but there are no large cohort studies on the prognosis of Controlling Nutritional Status (CONUT) score for T2D. The aim of this study was to examine the association between CONUT score and all-cause mortality as well as cancer mortality in adults with T2D. METHODS: For this study, we analyzed a total of 3763 adult patients with T2D who were part of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Mortality outcomes were determined by linking to the National Death Index records as of December 31, 2019. Cox proportional risk models were used to estimate risk ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cancer deaths. RESULTS: During the mean follow-up of 8.17 years, there were 823 deaths from all causes and 155 deaths from cancer. After adjusting for multiple variables, the risk of all-cause mortality was higher in patients with a Mild (CONUT score ≥ 2), compared with patients with a Normal (CONUT score of 0-1). All-cause mortality risk was 39% higher, and cancer mortality risk was 45% higher. Consistent results were observed when stratified by age, sex, race, BMI, smoking status, and glycated hemoglobin levels. CONCLUSIONS: In a nationally representative sample of American adults with T2D, we found an association between CONUT score and all-cause mortality and cancer mortality.

A spatiotemporally weighted intelligent method for exploring fine-scale distributions of surface dissolved silicate in coastal seas.

The transfer of dissolved silicate (DSi) from land to coastal environments is a crucial part of global biogeochemical cycling. However, the retrieval of coastal DSi distribution is challenging due to the spatiotemporal non-stationarity and nonlinearity of modeling processes and the low resolution of in situ sampling. To explore the coastal DSi changes in a higher spatiotemporal resolution, this study developed a spatiotemporally weighted intelligent method based on a geographically and temporally neural network weighted regression (GTNNWR) model, a Data-Interpolating Empirical Orthogonal Functions (DINEOF) model, and satellite observations. For the first time, the complete surface DSi concentrations of 2182 days at the 500-meter and 1-day resolution in the coastal sea of Zhejiang Province, China, were obtained (Testing R2 = 78.5 %) by using 2901 in situ records with concurrent remote sensing reflectance. The long-term and large-scale distributions of DSi reflected the changes in coastal DSi under the influences of rivers, ocean currents, and biological effects across multiple spatiotemporal scales. Benefiting from the high-resolution modeling, this study found that the surface DSi concentration had at least 2 declines during a diatom bloom process, which can provide crucial signals for the timely monitoring and early warning of diatom blooms and guide the management of eutrophication. It was also indicated that the correlation coefficient between the monthly DSi concentration and the Yangtze River Diluted Water velocities reached -0.462**, quantitatively revealing the significant influence of the terrestrial input. In addition, the daily-scale DSi fluctuations resulting from typhoon transits were finely characterized, which greatly reduces the monitoring cost compared with the field sampling. Therefore, this study developed an effective data-driven-based method to help explore the fine-scale dynamic changes of surface DSi in coastal seas.

Long-term outcomes of angioplasty for pediatric renovascular hypertension: A single-center experience.

OBJECTIVES: We used single-center data to evaluate the long-term outcome of percutaneous transluminal angioplasty (PTA) for pediatric renovascular hypertension (RVH) and to analyze the factors that influence effectiveness. METHODS: We retrospectively evaluated 33 pediatric RVH patients (18 boys; mean age: 9.1 ± 4 years, range: 2-16) who underwent PTA from January 2007 to December 2019. 15 patients had Takayasu arteritis (TA) and 18 were non-TA. The median follow-up from the initial PTA was 69 months (range: 12-157; IQR: 25.5-89). RESULTS: The technical success rate of 52 PTA procedures was 90.4% in 33 children. Renal artery stents were implanted in two patients, external guidewires were used in two patients, and a drug-coated balloon was used in only one patient. The overall effective rate of PTA was 63.6%, including cured 39.4% and improved 24.2%, at the end of follow-up. Overall clinical outcomes were not statistically different between the TA and non-TA groups (p = 0.316), nor were cure rates (p = 0.072). 15 patients received reintervention due to restenosis after the first successful PTA; the interval was 2-56 months (median: 12 months). Four patients received reintervention due to a failed PTA. A total of four patients received open surgery. Binary logistics regression analysis showed that stenosis length and residual stenosis rate were strongly correlated with effective PTA (p = 0.045, p = 0.044). CONCLUSIONS: As a primary treatment for pediatric RVH, PTA can achieve satisfactory results, which are influenced by lesion length and residual stenosis rate.

The efficacy and safety of different endovascular modalities for infrapopliteal arteries lesions: A network meta-analysis of randomized controlled trials.

Background: Endovascular treatment has become the first-line therapy for infrapopliteal artery occlusive disease (IPOD), while the optimal endovascular method remains to be determined. We performed a network meta-analysis (NWM) of randomized controlled trials (RCTs) to simultaneously compare the outcomes of different endovascular modalities for IPOD. Methods and results: The Pubmed, Embase, and Cochrane databases were used as data sources. The NWM approach used random-effects models based on the frequentist framework. In total, 22 eligible RCTs (44 study arms; 1,348 patients) involving nine endovascular modalities or combinations [balloon angioplasty (BA), drug-coated balloon (DCB), drug-eluting stent (DES), atherectomy device + BA (AD + BA), AD + DCB, balloon-expandable bare metal stent (BMS), self-expanding stent (SES), absorbable metal stents (AMS), and inorganics-coated stent (ICS)] were included. BA had a lower 12-month primary patency rate than DCB (RR 0.50, CI 0.27, 0.93) and AD + DCB (RR 0.34, CI 0.12, 0.93). AD + DCB decreased 6-month TLR compared with AMS (RR 0.15, CI 0.03, 0.90), and DES decreased it compared with BMS (RR 0.25, CI 0.09, 0.71). DCB had a lower 6-month TLR rate than AMS (RR 0.26, CI 0.08, 0.86) and BA (RR 0.51, CI 0.30, 0.89). BA had a higher 12-month TLR rate than DCB (RR 1.76, CI 1.07, 2.90). According to the value of the surface under the cumulative ranking curve (SUCRA), AD + DCB was considered the best treatment in terms of primary patency at 6 months (SUCRA = 87.5) and 12 months (SURCA = 91). AD + BA was considered the best treatment in terms of 6-month TLR (SUCRA = 83.1), 12-month TLR (SURCA = 75.8), and 12-month all-cause mortality (SUCRA = 92.5). In terms of 12-month major amputation, DES was considered the best treatment (SUCRA = 78.6), while AD + DCB was considered the worst treatment (SUCRA = 28.8). Moreover, AD + BA always ranks higher than AD + DCB in the comparison including these two combinations. Subgroup analyses of modalities without stenting did not significantly change the primary outcomes. Conclusion: ADs showed noteworthy advantages in multiple terms for IPOD except for 12-month major amputation. AD + BA may be a better method for IPOD than AD + DCB. The efficacy and safety of ADs are worthy of further investigation. Systematic review registration: [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022331626].

Risk factors for in-stent restenosis after vertebral artery stenting of V1 segment: A systematic review and meta-analysis.

OBJECTIVE: In-stent restenosis (ISR) remains a challenge in the treatment of vertebral artery V1 segment stenosis. The aim of this meta-analysis is to identify the risk factors of ISR. METHODS: Studies eligible for inclusion criteria were found in PubMed, Embase, and Cochrane Library databases. Data related to risk factors of ISR were extracted from the included studies, and pooled analysis was performed when data of the same factor were available in ≥2 studies. Dichotomous outcomes were analyzed with odds ratios (OR) and continuous outcomes were analyzed with a weighted mean difference (WMD). The Stata 14.0 program was used for the meta-analysis. RESULTS: A total of 11 studies involving 1356 patients were included in our analysis. Pooled analyses showed that younger age (p = 0.01; WMD= -1.958; 95% confidence interval [CI], -3.453 to -0.463) and V1 tortuosity (p = 0.004; OR = 4.145; 95% CI, 1.56-11.012) significantly associated with higher risk of ISR in V1 segment stenting. While bare-metal stents, stent diameter and length, diabetes mellitus, coronary artery disease, and smoking were not found to increase ISR rates. CONCLUSIONS: This meta-analysis showed that young age and V1 tortuosity increase the ISR rates after vertebral V1 segment stenting.

Covered Cheatham-Platinum Stent for Treatment of Descending Thoracic Aortic Stenosis Caused by Takayasu Arteritis in Two Children.

Takayasu arteritis (TA) is a chronic type of systemic large vessel vasculitis, mainly involving the aorta and its main branches. Both surgical and endovascular revascularization are effective methods for treating TA-related stenosis of the aorta and its branches. By December 2020, there have been very limited reports on the use of coated Cheatham-Platinum (CP) stents in the treatment of TA associated descending thoracic aortic stenosis. Two children with thoracic aortic stenosis caused by TA who received the covered CP stent in Xuanwu Hospital of Capital Medical University were reported. The follow-up time was 1.5 years and 4 years, respectively. The covered cheatham-platinum (CP) stent may be an alternative treatment for TA associated children with descending aortic stenosis.

A Spatially Weighted Neural Network Based Water Quality Assessment Method for Large-Scale Coastal Areas.

The accurate assessment of large-scale and complex coastal waters is a grand challenge due to the spatial nonstationarity and complex nonlinearity involved in integrating remote sensing and in situ data. We developed a water quality assessment method based on a newly proposed geographically neural network weighted regression (GNNWR) model to address that challenge and obtained a highly accurate and realistic water quality distribution on the basis of the comprehensive index of Chinese Water Quality Classification Standards. Using geostationary ocean color imager (GOCI) data and observations from 1240 water quality sampling sites, we conducted experiments for a typical large-scale coastal area of the Zhejiang Coastal Sea (ZCS), People's Republic of China. The GNNWR model achieved higher prediction performance (average R2 = 84%) in comparison to the widely used models, and the obtained water quality classification (WQC) maps in May of 2015-2017 and August 2015 can depict intuitively reasonable spatiotemporal patterns of water quality in the ZCS. Furthermore, an analysis of WQC maps successfully illustrated how terrestrial discharges, anthropogenic activities, and seasonal changes influenced the coastal environment in the ZCS. Finally, we identified essential regions and provided targeted regulatory interventions for them to facilitate the management and restoration of large-scale and complex coastal environments.