Research Progress on the Relationship between Coronary Artery Calcification and Chronic Renal Failure

Cardiovascular disease risk assessment, exercise training, and management of complications in patients with chronic kidney disease

Patients with chronic kidney disease are at high and very high risk of cardiovascular disease. As estimated glomerular filtration rate declines, the incidence and severity of risk factors, complications, and atherosclerotic cardiovascular events increase. In this scenario, tailored assessment is the key to evaluate the severity of chronic kidney disease and estimate cardiovascular disease risk. Personalized stratification differentiates patients with chronic kidney disease without diabetes mellitus or established atherosclerotic cardiovascular disease in their management and beneficial treatment. Exercise intensity assessment and prescription is suggested to propose specific and safe recommendations for physical activity, training, and cardiac rehabilitation. Programs are based on a combination of endurance and resistance exercise and should be adapted to very high risk chronic kidney disease and haemodialysis patients and after kidney transplantation. Appropriate management of cardiovascular complications in these patients, such as risk factors, heart failure, arrhythmias, and coronary artery disease, is essential to ensure the best treatment and improve the prognosis. Therefore, we propose a critical and comprehensive review to suggest how to manage patients with chronic kidney disease in clinical practice and, specifically, with regard to cardiovascular risk assessment, exercise training prescription, and management of complications.

The Serum NLRP1 Level and Coronary Artery Calcification: From Association to Development of a Risk-Prediction Nomogram

Background

To investigate the correlation between inflammasomes and coronary artery calcification (CAC), and develop and validating a nomogram for predicting the risk of CAC in patients with coronary artery disease (CAD).

Methods

A total of 626 patients with CAD at the Affiliated Hospital of Xuzhou Medical University were enrolled in this study. The patients were divided into the calcification group and the non-calcification group based on the assessment of coronary calcification. We constructed a training set and a validation set through random assignment. The least absolute shrinkage and selection operator (LASSO) regression and multivariate analysis were performed to identify independent risk factors of CAC in patients with CAD. Based on these independent predictors, we developed a web-based dynamic nomogram prediction model. The area under the receiver operating characteristic curve (AUC-ROC), calibration curves, and decision curve analysis (DCA) were used to evaluate this nomogram.

Results

Age, smoking, diabetes mellitus (DM), hyperlipidemia, the serum level of nucleotide-binding oligomerization domain (NOD)-like receptor protein 1 (NLRP1), alkaline phosphatase (ALP) and triglycerides (TG) were identified as independent risk factors of CAC. The AUC-ROC of the nomogram is 0.881 (95% confidence interval (CI): 0.850-0.912) in the training set and 0.825 (95% CI: 0.760-0.876) in the validation set, implying high discriminative ability. Satisfactory performance of this model was confirmed using calibration curves and DCA.

Conclusions

The serum NLRP1 level is an independent predictor of CAC. We established a web-based dynamic nomogram, providing a more accurate estimation and comprehensive perspective for predicting the risk of CAC in patients with CAD.

The Relationship of Fetuin-A with Coronary Calcification, Carotid Atherosclerosis, and Mortality Risk in Non-Dialysis Chronic Kidney Disease

Objective

This study investigated the relationship of fetuin-A with coronary calcification, carotid atherosclerosis, and mortality risk in non-dialysis chronic kidney disease (CKD).

Methods

The study included 135 adult patients with CKD at stages 3-5, who were divided into coronary artery calcification (CAC) and non-CAC groups. We excluded current smokers and individuals with diabetes mellitus, inflammatory conditions, liver diseases, acute kidney failure, chronic hemodialysis, and cancer. We conducted kidney function tests, complete blood counts, and measured serum levels of fetuin-A, tumor necrosis factor-alpha (TNF-α), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), total cholesterol (TC), total triglycerides (TG), high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. Cardiac spiral computed tomography was used to calculate the CAC score, employing the Agatston method. Carotid ultrasonography was performed to assess carotid intima-media thickness (CIMT) and to detect the presence of plaques.

Results

CAC patients had considerably higher levels of TNF-α (p<0.001), IL-6 (p<0.001), hs-CRP (p=0.006), TC, TG, parathyroid hormone (PTH) (p<0.001) and phosphorus (p<0.001) than non-CAC patients. They also had significantly lower levels of fetuin-A (p<0.001). Fetuin-A was considerably lower in CKD subgroups as CKD progressed. Fetuin-A (p=0.046), age (p=0.009), TNF-α (p=0.027), IL-6 (p=0.005), TG (p=0.002), PTH (p=0.002), and phosphorus (p=0.004) were significant predictors of CAC. CAC and fetuin-A were strong predictors of all-cause mortality and cardiovascular (CV) mortality. Fetuin-A was a significant predictor of CIMT (p=0.045).

Conclusion

Fetuin-A reliably predicted CAC and CIMT. Fetuin-A and CAC emerged as significant risk factors for all-cause and CV mortality in non-dialysis CKD.

A machine learning-based diagnostic model for myocardial infarction patients: Analysis of neutrophil extracellular traps-related genes and eQTL Mendelian randomization

To identify neutrophil extracellular trap (NET)-associated gene features in the blood of patients with myocardial infarction (MI) using bioinformatics and machine learning, with the aim of exploring potential diagnostic utility in atherosclerosis. The datasets GSE66360 and GSE48060 were downloaded from the Gene Expression Omnibus (GEO) public database. GSE66360 was used as the training set, and GSE48060 was used as an independent validation set. Differential genes related to NETs were screened using R software. Machine learning was performed based on the differential expression of NET-related genes across different samples. The advantages and disadvantages of 4 machine learning algorithms (Random Forest [RF], Extreme Gradient Boosting [XGBoost, XGB], Generalized Linear Models [GLM], and Support Vector Machine-Recursive Feature Elimination [SVM-RFE]) were compared, and the optimal method was used to screen feature genes and construct diagnostic models, which were then validated in the external validation dataset. Correlations between feature genes and immune cells were analyzed, and samples were reclustered based on the expression of feature genes. Differences in downstream molecular mechanisms and immune responses were explored for different clusters. Weighted Gene Co-expression Network Analysis was performed on different clusters, and disease-related NET genes were extracted, followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Finally, Mendelian randomization was employed to further investigate the causal relationship between the expression of model genes and the occurrence of MI. Forty-seven NET-related differential genes were obtained, and after comparing the 4 machine learning methods, support vector machine was used to screen ATG7, MMP9, interleukin 6 (IL6), DNASE1, and PDE4B as key genes for the construction of diagnostic models. The diagnostic value of the model was validated in an independent external validation dataset. These five genes showed strong correlations with neutrophils. Different sample clusters also demonstrated differential enrichment in pathways such as nitrogen metabolism, complement and coagulation cascades, cytokine-cytokine receptor interaction, renin-angiotensin system, and steroid biosynthesis. The Mendelian randomization results demonstrate a causal relationship between the expression of ATG7 and the incidence of myocardial infarction. The feature genes ATG7, MMP9, IL6, DNASE1, and PDE4B, identified using bioinformatics, may serve as potential diagnostic biomarkers and therapeutic targets for Myocardial infarction. Specifically, the expression of ATG7 could potentially be a significant factor in the occurrence of MI.

Relationship between the triglyceride-glucose index and coronary artery calcification in asymptomatic, non-diabetic patients undergoing maintenance hemodialysis

OBJECTIVE

Coronary artery calcification (CAC) is positively and independently associated with cardiovascular disease (CVD) in patients undergoing maintenance hemodialysis (MHD). Insulin resistance is independently associated with CAC and is an important risk factor for CVD. The triglyceride-glucose (TyG) index is a reliable biomarker of insulin resistance. This cross-sectional, observational study aimed to investigate the relationship between the TyG index and CAC in asymptomatic non-diabetic patients undergoing MHD.

METHODS

The quantitative coronary artery calcification score (CACS) was calculated and expressed using the Agatston score. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Multiple Poisson regression analysis, Spearman correlation analysis, and receiver operating characteristic (ROC) curves were used to investigate the relationship between the TyG index and CAC.

RESULTS

The 151 patients were divided into three groups according to the tertiles of the TyG index. With an increase in the TyG index, the CACS significantly increased (Spearman's rho = 0.414, p < 0.001). Poisson regression analysis indicated that the TyG index was independently related to the presence of CAC (prevalence ratio, 1.281 [95% confidence interval, 1.121-1.465], p < 0.001). Furthermore, ROC curve analysis showed that the TyG index was of value in predicting the CAC in asymptomatic non-diabetic patients undergoing MHD, with an area under the curve of 0.667 (p = 0.010).

CONCLUSION

The TyG index is independently related to the presence of CAC in asymptomatic, non-diabetic patients undergoing MHD.

Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk

The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data-scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.

Shenkang injection combined with alprostadil for chronic renal failure: A systematic review and meta-analysis

Objective

To systematically evaluate the clinical efficacy and safety of Shenkang injection (SKI) combined with alprostadil in the treatment of chronic renal failure (CRF).

Method

Randomized controlled trials (RCTs) of Shenkang injection combined with alprostadil in CRF treatment were investigated by retrieving a total of 7 databases including CNKI, Wanfang database, VIP, CBM, PubMed, Embase and Cochrane Library, with the search time ranging from 2012 to now. Revman 5.2 software was used for data analysis, and Cochrane bias risk tool was used to evaluate the quality of the included literature. The final results were represented by relative risk (RR), mean difference (MD) and 95% confidence interval (95% CI).

Results

A total of 20 RCTs and 1,573 patients were included in this study. Meta-analysis showed that the overall response rate (ORR) of the treatment group was superior to the control group [RR = 0.20, 95% CI (0.16, 0.25), P &lt; 0.00001]. Compared with the control group, the treatment group achieved favorable improvement in terms of the creatinine clearance rate (Ccr) [MD = 9.48, 95% CI (8.73, 10.24), P &lt; 0.00001], serum creatinine (Scr) [MD = −55.12, 95% CI (−63.42, −46.82), P &lt; 0.00001], quantitative urine protein (Upro) [MD = −0.48, 95% CI (−0.53, −0.43), P &lt; 0.00001], and blood urea nitrogen (BUN) [MD=-3.73, 95% CI (−4.08, −3.3) 7, P &lt; 0.00001]. There was no statistical difference in the incidence of adverse reactions in each group.

Conclusion

Currently, Shenkang injection combined with alprostadil has been widely used in clinical treatment of CRF due to the certain effect superior to other methods. However, its specific efficacy and safety need to be further verified through numerous large-scale clinical trials.

Machine Learning for the Prevalence and Severity of Coronary Artery Calcification in Nondialysis Chronic Kidney Disease Patients: A Chinese Large Cohort Study

PURPOSE

This study sought to determine whether machine learning (ML) can be used to better identify the risk factors and establish the prediction models for the prevalence and severity of coronary artery calcification (CAC) in nondialysis chronic kidney disease (CKD) patients and compare the performance of distinctive ML models with conventional logistic regression (LR) model.

MATERIALS AND METHODS

In all, 3701 Chinese nondialysis CKD patients undergoing noncontrast cardiac computed tomography (CT) scanning were enrolled from November 2013 to December 2017. CAC score derived from the cardiac CT was calculated with the calcium scoring software and was used to assess and stratify the prevalence and severity of CAC. Four ML models (LR, random forest, support vector machine, and k-nearest neighbor) and the corresponding feature ranks were conducted. The model that incorporated the independent predictors was shown as the receiver-operating characteristic (ROC) curve. Area under the curve (AUC) was used to present the prediction value. ML model performance was compared with the traditional LR model using pairwise comparisons of AUCs.

RESULTS

Of the 3701 patients, 943 (25.5%) patients had CAC. Of the 943 patients with CAC, 764 patients (20.6%) and 179 patients (4.8%) had an Agatston CAC score of 1 to 300 and ≥300, respectively. The primary cohort and the independent validation cohort comprised 2957 patients and 744 patients, respectively. For the prevalence of CAC, the AUCs of ML models were from 0.78 to 0.82 in the training data set and the internal validation cohort. For the severity of CAC, the AUCs of the 4 ML models were from 0.67 to 0.70 in the training data set and from 0.53 to 0.70 in the internal validation cohort. For the prevalence of CAC, the AUC was 0.80 (95% confidence interval [CI]: 0.77-0.83) for ML (LR) versus 0.80 (95% CI: 0.77-0.83) for the traditional LR model ( P =0.2533). For the severity of CAC, the AUC was 0.70 (95% CI: 0.63-0.77) for ML (LR) versus 0.70 (95% CI: 0.63-0.77) for traditional LR model ( P =0.982).

CONCLUSIONS

This study constructed prediction models for the presence and severity of CAC based on Agatston scores derived from noncontrast cardiac CT scanning in nondialysis CKD patients using ML, and showed ML LR had the best performance.

Ultra-low CONtraSt PCI vs conVEntional PCI in patients of ACS with increased risk of CI-AKI (CONSaVE-AKI)

Objectives

This prospective, randomized study assessed short-term outcomes and safety of ultra-low contrast percutaneous coronary intervention(ULC-PCI) vs conventional PCI in high risk for contrast induced acute kidney injury(CI-AKI) patients presenting with acute coronary syndrome(ACS).

Background

Patients at an increased risk of developing CI-AKI can be identified prior to PCI based on their pre-procedural risk scores. ULC-PCI is a novel contrast conservation strategy in such high risk patients for prevention of CI-AKI.

Methods

82 patients undergoing PCI for ACS were enrolled having estimated glomerular filtration rate(eGFR) < 60 ml/min/1.73 m² and moderate to very high pre-procedural risk of developing CI-AKI as calculated by Maioli risk calculator. They were randomized into two groups of 41 patients each of ULC-PCI (contrast volume ≤ patient's eGFR) and conventional PCI (contrast volume ≤ 3xpatient's eGFR). Primary end point was development of CI-AKI.

Results

Baseline clinical and angiographic characteristics were similar between groups. Primary outcome of CI-AKI occurred more in patients of the conventional PCI group [7 (17.1%)] than in the ULC PCI group [(0 patients), p = 0.012]. Contrast volume (41.02 (±9.8) ml vs 112.54 (±25.18) ml; P < 0.0001) was markedly lower in the ULC-PCI group. No significant difference in secondary safety outcomes between two study arms at 30 days. IVUS was used in 17% patients in ULC PCI.

Conclusion

ULC-PCI in patients with increased risk of developing CI-AKI is feasible, appears safe, and has the potential to decrease the incidence of CI-AKI specially in resource limited setting such as ours where coronary imaging by IVUS is not possible in every patient.

Scoring of medial arterial calcification predicts cardiovascular events and mortality after kidney transplantation

BACKGROUND

Progression of vascular calcification causes cardiovascular disease, which is the most common cause of death in chronic kidney failure and after kidney transplantation (KT). The prognostic impact of the extent of medial vascular calcification at KT is unknown.

METHODS

In this prospective cohort study, we investigated the impact of medial calcification compared to a mix of intimal and medial calcification represented by coronary artery calcification (CAC score) and aortic valve calcification in 342 patients starting on kidney failure replacement therapy. The primary outcomes were cardiovascular events (CVE) and death. The median follow-up time was 6.4 years (interquartile range 3.7-9.6 years). Exposure was CAC score and arteria epigastrica medial calcification scored as none, mild, moderate, or severe by a pathologist at time of KT (n = 200). We divided the patients according to kidney failure replacement therapy during follow-up, that is, living donor KT, deceased donor KT, or dialysis.

RESULTS

Moderate to severe medial calcification in the arteria epigastrica was associated with higher mortality (p = 0.001), and the hazard ratio for CVE was 3.1 (95% confidence interval [CI] 1.12-9.02, p < 0.05) compared to no or mild medial calcification. The hazard ratio for 10-year mortality in the dialysis group was 33.6 (95% CI, 10.0-113.0, p < 0.001) compared to living donor recipients, independent of Framingham risk score and prevalent CAC.

CONCLUSION

Scoring of medial calcification in the arteria epigastrica identified living donor recipients as having 3.1 times higher risk of CVE, independent of traditional risk factors. The medial calcification score could be a reliable method to identify patients with high and low risk of CVE and mortality following KT.

Optimizing the Outcomes of Percutaneous Coronary Intervention in Patients with Chronic Kidney Disease

Percutaneous coronary intervention (PCI) is one of the most common procedures performed in medicine. However, its net benefit among patients with chronic kidney disease (CKD) is less well established than in the general population. The prevalence of patients suffering from both CAD and CKD is high, and is likely to increase in the coming years. Planning the adequate management of this group of patients is crucial to improve their outcome after PCI. This starts with proper preparation before the procedure, the use of all available means to reduce contrast during the procedure, and the implementation of modern strategies such as radial access and drug-eluting stents. At the end of the procedure, personalized antithrombotic therapy for the patient's specific characteristics is advisable to account for the elevated ischemic and bleeding risk of these patients.

Impact of serum albumin level and variability on short-term cardiovascular-related and all-cause mortality in patients on maintenance hemodialysis

Studies have shown that low serum albumin (Salb) levels are associated with a high risk of mortality among patients on maintenance hemodialysis (MHD); however, the impact of Salb variability on short-term cardiovascular mortality remains unclear. Herein, we investigated the association between Salb levels and Salb variability on short-term all-cause and cardiovascular-related mortality in patients on MHD.Eligible patients on MHD at Chongqing General Hospital between June 2017 and June 2020 were recruited in this study. Patients were grouped by Salb levels (normal Salb, ≥3.8 g/dL; low Salb, 3.4-3.8 g/dL; and lower Salb, 2-3.4 g/dL) and Salb variability (decreased, >5% loss; increased, >5% gain; and steady, 5% loss to 5% gain). Associations between Salb levels, Salb variability, and all-cause and cardiovascular-related mortality were analyzed using Cox regression models. A survival analysis was performed using the Kaplan-Meier analysis.We enrolled a total of 181 patients on MHD with an average age of 65 years (interquartile range [IQR], 53-75 years). The mean Salb level was 3.8 ± 0.6 g/dL (IQR 2.9-4.4 g/dL), and the median Salb variability was 2.6% per year (IQR, -4.1 to 6.5). Fifty-two (29%) patients died, including 31 (17%) patients who died due to cardiovascular-related causes. Compared with the other groups, the lower Salb group had higher all-cause mortality (P < .01). Cox regression analyses revealed that lower Salb levels and decreased Salb variability were independently associated with all-cause mortality (hazard ratio [HR] = 1.95, 95% confidence interval [CI] 1.103-3.452; HR = 2.245, 95% CI 1.084-4.650), whereas increased Salb variability was independently associated with cardiovascular-related mortality (HR = 2.919, 95% CI 1.178-7.234; P < .05).Lower Salb levels were an independent predictor of all-cause mortality in patients on MHD. Increased Salb variability was strongly associated with cardiovascular-related mortality in the same population, especially in the short-term and in patients with normal Salb levels. Significantly elevated Salb variability should be evaluated to reduce cardiovascular-related mortality.

Mid-term predictive value of calciprotein particles in maintenance hemodialysis patients based on a gel-filtration assay

BACKGROUND AND AIMS

Calciprotein particles (CPPs), nano-aggregates containing fetuin-A-bound calcium-phosphate, are associated with aortic stiffness and coronary calcification in maintenance hemodialysis patients. A novel gel-filtration assay can detect low-density small CPPs, which are actually a major form of circulating CPPs in vivo. We sought to investigate whether circulating CPP levels measured by gel-filtration method would accurately predict hard endpoints in maintenance hemodialysis patients.

METHODS

This study used a prospective, multicenter, longitudinal, and observational design. One-hundred eight patients enrolled in this study were followed-up for about 2 years. We reported all-cause death and cardiovascular events, which included major adverse cardiac, cerebrovascular, and limb events.

RESULTS

Kaplan-Meier analysis showed no significant difference between patients with the higher (>median) and lower (<median) CPP levels with regard to all-cause death. However, the higher CPP group showed a higher incidence of cardiovascular events (log-rank test χ² = 4.41, p = 0.036). Univariate Cox regression analysis revealed that CPP levels were not associated with all-cause death, but were significantly associated with higher incidence of cardiovascular events (hazard ratio (HR) 1.03, 95% confidence interval (CI) [1.02-1.05], p < 0.001) for every thousand CPP increase. Multivariate Cox regression analysis revealed that CPP levels were not associated with all-cause death, but were independently associated with cardiovascular events (HR 1.03, 95% CI [1.01-1.04], p < 0.001) for every thousand CPP.

CONCLUSIONS

This finding suggests a potential predictive value of CPPs in maintenance hemodialysis patients.

Ultra-low contrast coronary angiography and zero-contrast percutaneous coronary intervention for prevention of contrast-induced nephropathy: step-by-step approach and review

Contrast-induced nephropathy is a serious complication after intravascular administration of iodinated contrast media and is associated with numerous adverse outcomes. Its prevalence is particularly high in patients with multiple comorbidities who undergo coronary angiography and percutaneous coronary intervention (PCI). Currently, the only effective method to prevent contrast-induced kidney injury is adequate hydration and a reduction of contrast volume during the intervention. Recently, new approaches aiming to minimize contrast usage have been proposed, i.e., ultra-low contrast angiography and zero-contrast PCI. However, neither tutorials for these techniques nor reviews of their outcomes exist in the literature, and therefore dissemination of these approaches among the interventional community may be limited. This article presents a step-by-step description on how to perform ultra-low coronary angiography and zero-contrast PCI, which should help invasive cardiologists to adopt these techniques in daily practice. A review of clinical studies, case series and single case reports regarding these methods is also provided. Despite the promising results, such procedures still require some improvements and confirmation of their effectiveness as well as safety in large clinical studies. This article aims to spread these new techniques throughout the interventional community, which is paramount for their further development and wider utilization.

[Zhenwu Decoction delays ventricular hypertrophy in rats with uremic cardiomyopathy]

OBJECTIVE

To investigate the inhibitory effect of Zhenwu Decoction on ventricular hypertrophy in rats with uremic cardiomyopathy and explore the mechanism.

METHODS

Cardiocytes isolated from suckling rats were divided into control group and indoxyl sulfate (IS) group, and the protein synthesis was assayed with [³H]- leucine incorporation and cellular protein expressions were detected using Western blotting. Fifty SD rats were randomly divided into sham operation group, model group, and low- and high-dose Zhenwu Decoction treatment groups, and except for those in the sham operation group, all the rats underwent 5/6 nephrectomy. Four weeks after the operation, the rats in low- and high-dose treatment groups were given Zhenwu Decoction via gavage at the dose of 4.5 g/kg and 13.5 g/kg, respectively; the rats in the sham-operated and model groups were given an equal volume of distilled water. After 4 weeks of treatment, serum levels of IS were determined, and cardiac and ventricular mass indexes were measured in the rats; cardiac ultrasound was performed and Western blotting was used to measure the expressions of BNP, p-ERK1/2, p-p38 and p-JNK in the myocardium.

RESULTS

Rat cardiomyocytes treated with IS showed significantly enhanced protein synthesis and increased expression levels of BNP, p-erk1/2, and p-p38 as compared with the control cells (P &lt; 0.01), but the expression of p-jnk was comparable between the two groups. In the animal experiment, the rats in the model group showed significantly increased serum creatinine (SCr) and urea nitrogen (BUN) levels, 24-h urine protein (24 hUpro), plasma IS level, left ventricular mass index (LVMI) and whole heart mass index (HMI) compared with those in the sham group (P &lt; 0.01); Both LVESD and LVEDD were significantly reduced and LVAWS, LVAWD, LVPWS and LVPWD were significantly increased in the model rat, which also presented with obvious cardiomyocyte hypertrophy and increased myocardial expressions of BNP, p-ERK1/2, p-p38 and p-jnk (P &lt; 0.01). Compared with the rats in the model group, the rats treated with low-dose and high-dose Zhenwu Decoction had significantly lowered levels of SCr, BUN, 24 hUpro and IS (P &lt; 0.05) and decreased LVMI and HMI; LVESD, LVEDD, LVPWS, LVAWS, and LVAWD were improved more obviously in the high-dose group, and the myocardial expressions of BNP, p-ERK1/2, p-p38 and p-JNK was significantly downregulated after the treatment.

CONCLUSIONS

Zhenwu Decoctin can reduce plasma IS levels and inhibit ventricular hypertrophy to delay ventricular remodeling in rats with uremic cardiomyopathy.

Acute- and Long-term Outcomes of Rotational Atherectomy followed by Cutting Balloon versus Plain Balloon before Drug-Eluting Stent Implantation for Calcified Coronary Lesions

BACKGROUND

Coronary calcification is a major determinant of stent underexpansion and subsequent adverse events. This study aimed to evaluate the acute- and long-term outcomes of rotational atherectomy (RA) followed by cutting balloon (CB) versus plain balloon before drug-eluting stent implantation for calcified coronary lesions.

METHODS

From June April 2013 to March 2016, a total of 127 patients with moderately or severely calcified coronary lesions were treated with RA. Patients were divided into two groups according to the balloon type after RA: RA+CB group (n = 75) and RA+plain balloon group (n = 52). Minimal lumen diameter and acute lumen gain were analyzed by quantitative coronary angiography. In-hospital and long-term (>1 year) outcomes were recorded. Multivariate Cox regression analysis was performed to determine the independent predictors of in-stent restenosis.

RESULTS

The mean age of the patients was 65.5 years, and 76.4% were men. Total lesion length and minimal lumen diameter at baseline were similar in the two groups. After RA and balloon dilation, the lumen diameter was significantly larger in the RA+CB group than in the RA+plain balloon group (1.57 ± 0.46 mm vs. 1.10 ± 0.40 mm, t = 4.123, P < 0.001). The final lumen diameter was also larger in the RA+CB group compared to that in the RA group (2.81 ± 0.41 mm vs. 2.60 ± 0.25 mm, t = 2.111, P = 0.039). Moreover, patients receiving RA and CB tended to have larger final lumen gain (2.15 ± 0.48 mm vs. 1.95 ± 0.47 mm, t = 1.542, P = 0.132). Multivariate Cox regression analysis indicated that the strategy of RA+CB was a significant protective factor against long-term (>1 year) in-stent restenosis (hazard ratio: 0.136, 95% confidence interval: 0.020-0.936, P = 0.043).

CONCLUSIONS

In patients with moderately or severely calcified lesions, a strategy of RA followed by CB before stent implantation can increase lumen diameter and acute lumen gain. This strategy is safe with lower risk of long-term in-stent restenosis.

The relationship between inflammatory factors, oxidative stress and DIO-1 concentration in patients with chronic renal failure accompanied with or without euthyroid sick syndrome

Objective

To investigate the relationship between inflammatory factors, oxidative stress and type 1 deiodinase (DIO-1) concentration in patients with chronic renal failure (CRF) with or without euthyroid sick syndrome (ESS).

Methods

This study recruited patients with CRF and divided them into two groups: group 1 had low free triiodothyronine (FT3) levels; and group 2 had normal FT3 levels. Group 3 consisted of healthy volunteers. Serum levels of interleukin (IL)-6, IL-1β, tumour necrosis factor (TNF)-α, 8-isoprostane and DIO-1 were measured using enzyme-linked immunosorbent assays. Multiple regression analysis was used to analyse correlations between parameters.

Results

Sixty patients were enrolled into each group and the groups were comparable in terms of vital signs, white blood cell count, free thyroxine and thyroid stimulating hormone concentrations. The serum DIO-1 concentration was significantly higher in group 2 than in groups 1 and 3. Multivariate regression analysis revealed that the DIO-1 concentration was inversely correlated with the TNF-α concentration.

Conclusions

Patients with CRF without ESS showed higher concentrations of DIO-1 than patients with ESS. The DIO-1 concentration was inversely correlated with the TNF-α concentration, which might indicate that the inflammatory response was milder in the patients with CRF without ESS than in those with ESS.