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Beneficial effect of statin on preventing contrast-induced acute kidney injury in patients with renal insufficiency: A meta-analysis.
Cho, A, Lee, YK, Sohn, SY
Medicine. 2020;(10):e19473
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Abstract
BACKGROUND Renal insufficiency is an important predictor of contrast-induced acute kidney injury (CI-AKI). We performed a meta-analysis to examine the effects of short-term statin therapy on the incidence of CI-AKI, particularly in patients with renal insufficiency. METHODS A systematic search was conducted to retrieve randomized controlled trials (RCTs) that investigated the impact of statin pretreatment before administration of contrast media on the development of CI-AKI in patients with mild to moderate renal insufficiency. The primary outcome was development of CI-AKI. The secondary outcome was the incidence ofacute kidney injury requiring hemodialysis. RESULTS Data analysis from 8 RCTs, which included a total of 2313 subjects in the statin-treated group and 2322 in the control group, showed that statin pretreatment was associated with significant reduction of the risk of CI-AKI (relative risk [RR] = 0.59; 95% confidential interval [CI] 0.44-0.79; P = .0003, I = 0%). A beneficial effect of statin on preventing CI-AKI was consistent, regardless of the dose of statin and use of N-acetylcysteine. In subgroup analysis based on baseline estimated glomerular filtration rate (eGFR), patients with baseline eGFR <60 mL/min/1.73 m (RR = 0.63; 95% CI 0.41-0.98; P = .04, I = 0%) and 30 < eGFR < 90 mL/min/1.73 m (RR = 0.56; 95% CI 0.39-0.82; P = .003, I = 0%) showed significant reduction of risk of CI-AKI. CONCLUSION Statin pretreatment is effective at preventing CI-AKI and should be considered in patients with preexisting renal insufficiency.
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Coronary plaque volume and predictors for fast plaque progression assessed by serial coronary CT angiography-A single-center observational study.
Weber, C, Deseive, S, Brim, G, Stocker, TJ, Broersen, A, Kitslaar, P, Martinoff, S, Massberg, S, Hadamitzky, M, Hausleiter, J
European journal of radiology. 2020;:108805
Abstract
PURPOSE The rationale of this study was to identify patients with fast progression of coronary plaque volume PV and characterize changes in PV and plaque components over time. METHOD Total PV (TPV) was measured in 350 patients undergoing serial coronary computed tomography angiography (median scan interval 3.6 years) using semi-automated software. Plaque morphology was assessed based on attenuation values and stratified into calcified, fibrous, fibrous-fatty and low-attenuation PV for volumetric measurements. Every plaque was additionally classified as either calcified, partially calcified or non-calcified. RESULTS In total, 812 and 955 plaques were detected in the first and second scan. Mean TPV increase was 20 % on a per-patient base (51.3 mm³ [interquartile range (IQR): 14.4, 126.7] vs. 61.6 mm³ [IQR: 16.7, 170.0]). TPV increase was driven by calcified PV (first scan: 7.6 mm³ [IQR: 0.2, 33.6] vs. second scan: 16.6 mm³ [IQR: 1.8, 62.1], p < 0.01). Forty-two patients showed fast progression of TPV, defined as >1.3 mm3 increase of TPV per month. Male sex (odds ratio 3.1, p = 0.02) and typical angina (odds ratio 3.95, p = 0.03) were identified as risk factors for fast TPV progression, while high-density lipoprotein cholesterol had a protective effect (odds ratio per 10 mg/dl increase of HDL cholesterol: 0.72, p < 0.01). Progression to >50 % stenosis at follow-up was observed in 34 of 327 (10.4 %) calcified plaques, in 13 of 401 (3.2 %) partially calcified plaques and 2 of 221 (0.9 %) non-calcified plaques (p < 0.01). CONCLUSION Fast plaque progression was observed in male patients and patients with typical angina. High HDL cholesterol showed a protective effect.
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Postsystolic shortening on echocardiography as a gateway to cardiac computed tomography in patients with suspected stable angina pectoris.
Brainin, P, Olsen, FJ, Lassen, MCH, Bech, J, Claggett, B, Fritz-Hansen, T, Folke, F, Gislason, GH, Biering-Sørensen, T
The international journal of cardiovascular imaging. 2020;(2):309-316
Abstract
Postsystolic shortening (PSS) by speckle-tracking echocardiography (STE) is a marker of myocardial ischemia and may improve diagnostic strategy. We sought to evaluate if PSS is associated with the coronary artery calcium score (CACS) and stenosis by computed tomography angiography (CTA) in patients with suspected stable angina pectoris (SAP). We retrospectively studied 437 SAP patients (age 58 ± 11 years, 41% male) who underwent STE, evaluation of CACS and assessment of significant stenosis (≥ 50%) by CTA. The postsystolic index (PSI) was defined as follows: 100x([peak negative strain cardiac cycle - peak negative strain systole])/peak negative strain cardiac cycle. A wall had PSS if any segment within the wall had a PSI ≥ 20%. We defined categories for walls with PSS: 0, 1, 2 and ≥ 3, and CACS 0, 1-100, 101-400 and > 400. Each additional wall with PSS was associated with a 43% relative increase in CACS (95%CI +9% to +87%, P = 0.010), while each 1% absolute increase in the PSI was associated with a 9% relative increase in CACS (95%CI +1% to +18%, P = 0.031). Walls with PSS (OR 1.81 per 1 wall increase, 95%CI 1.27-2.59, P = 0.001) and the PSI (OR 1.12 per 1% increase, 95%CI 1.04-1.21, P = 0.004) were associated with the occurrence of CACS > 400. Additionally, walls with PSS (OR 1.53 per 1 wall increase, 95%CI 1.21-1.93, P < 0.001) was a predictor of significant stenosis by CTA. PSS is associated with CACS and significant stenosis by CTA in patients with SAP and may aid in the selection of patients referred for cardiac computed tomography.
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Cardiac-CT and cardiac-MR cost-effectiveness: a literature review.
Centonze, M, Steidler, S, Casagranda, G, Alfonsi, U, Spagnolli, F, Rozzanigo, U, Palumbo, D, Faletti, R, De Cobelli, F
La Radiologia medica. 2020;(11):1200-1207
Abstract
Cardiovascular diseases are still among the first causes of death worldwide with a huge impact on healthcare systems. Within these conditions, the correct diagnosis of coronary artery disease with the most appropriate imaging-based evaluations is of utmost importance. The sustainability of the healthcare systems, considering the high economic burden of modern cardiac imaging equipments, makes cost-effective analysis an important tool, currently used for weighing different costs and health outcomes, when policy makers have to allocate funds and to prioritize interventions, getting the most out of their financial resources. This review aims at evaluating cost-effective analysis in the more recent literature, focused on the role of Calcium Score, coronary computed tomography angiography and cardiac magnetic resonance.
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Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion.
Monti, CB, Codari, M, van Assen, M, De Cecco, CN, Vliegenthart, R
Journal of thoracic imaging. 2020;:S58-S65
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Abstract
During the latest years, artificial intelligence, and especially machine learning (ML), have experienced a growth in popularity due to their versatility and potential in solving complex problems. In fact, ML allows the efficient handling of big volumes of data, allowing to tackle issues that were unfeasible before, especially with deep learning, which utilizes multilayered neural networks. Cardiac computed tomography (CT) is also experiencing a rise in examination numbers, and ML might help handle the increasing derived information. Moreover, cardiac CT presents some fields wherein ML may be pivotal, such as coronary calcium scoring, CT angiography, and perfusion. In particular, the main applications of ML involve image preprocessing and postprocessing, and the development of risk assessment models based on imaging findings. Concerning image preprocessing, ML can help improve image quality by optimizing acquisition protocols or removing artifacts that may hinder image analysis and interpretation. ML in image postprocessing might help perform automatic segmentations and shorten examination processing times, also providing tools for tissue characterization, especially concerning plaques. The development of risk assessment models from ML using data from cardiac CT could aid in the stratification of patients who undergo cardiac CT in different risk classes and better tailor their treatment to individual conditions. While ML is a powerful tool with great potential, applications in the field of cardiac CT are still expanding, and not yet routinely available in clinical practice due to the need for extensive validation. Nevertheless, ML is expected to have a big impact on cardiac CT in the near future.
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Increased Serum Malondialdehyde-Modified Low-Density Lipoprotein and Coronary Angiographic Progression After Drug-Eluting Stent Implantation in Patients With Stable Angina.
Yokoi, M, Ito, T, Fujita, H, Sugiura, T, Seo, Y, Ohte, N
Circulation journal : official journal of the Japanese Circulation Society. 2020;(10):1837-1845
Abstract
BACKGROUND Cardiac events can occur after drug-eluting stent (DES) implantation due to coronary plaque progression at non-stented sites. Malondialdehyde-modified low-density lipoprotein (MDA-LDL) is suggested to be an atherogenic marker. This study investigated the relationship between serum MDA-LDL and angiographic progression after DES implantation.Methods and Results:In total, 207 patients who underwent percutaneous coronary intervention (PCI) using DES and follow-up coronary angiography were retrospectively analyzed. MDA-LDL was serially measured before PCI and at follow up. Persistent high MDA-LDL was defined as a MDA-LDL level more than the median value both before PCI and at follow up. Angiographic progression was assessed by serial analysis of quantitative coronary angiography. Angiographic progression occurred in 35 patients (16.9%). MDA-LDL before PCI was significantly higher in the progression group than the non-progression group in all patients (143.4±35.8 U/L vs. 103.0±33.5U/L, P<0.001) and in patients with controlled LDL-cholesterol (LDL-C <100 mg/dL both before PCI and at follow up; 121.8±32.7 U/L vs. 84.9±24.9 U/L, P<0.001). There were positive correlations between % diameter stenosis changes and serum MDA-LDL before PCI in all patients (r=0.33, P<0.01) and those with controlled LDL-C (r=0.23, P=0.04). In multivariate logistic regression analysis, persistent high MDA-LDL was an independent predictor of plaque progression. CONCLUSIONS Increased serum MDA-LDL was associated with angiographic progression after DES implantation.
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PrevenTion of contrast-inducEd nephropAThy with urinE alkalinization: the TEATE study design.
Lombardi, M, Molisana, M, Genovesi, E, De Innocentiis, C, Limbruno, U, Misuraca, L, Moretti, L, Di Vito, L, Di Nicola, M, Zimarino, M, et al
Journal of cardiovascular medicine (Hagerstown, Md.). 2020;(1):65-72
Abstract
: Intravascular administration of iodinated contrast media is an essential tool for the imaging of blood vessels and cardiac chambers, as well as for percutaneous coronary and structural interventions. Along with the spreading of diagnostic and interventional procedures, the increasing incidence of contrast-induced nephropathy (CIN) has become an important and prognostically relevant problem. CIN is thought to be largely dependent on oxidative damage, and is a considerable cause of renal failure, being associated with prolonged hospitalization and significant morbidity/mortality. The most effective treatment strategy of this serious complication remains prevention, and several preventive measures have been extensively investigated in the last few years.Preprocedural hydration is the best-known and mostly accepted strategy. The administration of sodium bicarbonate has controversial effects, and is likely to be ineffective when the infused dose is unable to achieve adequate urine alkalinization. Since alkaline pH suppresses the production of free radicals, increasing urine pH would be an attractive goal for CIN prevention.In a prospective randomized controlled, open-label clinical trial we will test the hypothesis that urine alkalinization with either oral or intravenous bicarbonate on top of hydration alone is the main determinant of CIN prevention (primary endpoint) in a population of patients with moderate or severe chronic kidney disease scheduled for coronary angiography and/or angioplasty. If we then demonstrate nonsignificant differences in urine alkalinization and incidence of CIN between the two bicarbonate groups (secondary endpoint), a practical implication will be that oral administration is preferable for practical reasons over the administration of intravenous bicarbonate.
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Non-invasive imaging of high-risk coronary plaque: the role of computed tomography and positron emission tomography.
Bing, R, Loganath, K, Adamson, P, Newby, D, Moss, A
The British journal of radiology. 2020;(1113):20190740
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Abstract
Despite recent advances, cardiovascular disease remains the leading cause of death globally. As such, there is a need to optimise our current diagnostic and risk stratification pathways in order to better deliver individualised preventative therapies. Non-invasive imaging of coronary artery plaque can interrogate multiple aspects of coronary atherosclerotic disease, including plaque morphology, anatomy and flow. More recently, disease activity is being assessed to provide mechanistic insights into in vivo atherosclerosis biology. Molecular imaging using positron emission tomography is unique in this field, with the potential to identify specific biological processes using either bespoke or re-purposed radiotracers. This review provides an overview of non-invasive vulnerable plaque detection and molecular imaging of coronary atherosclerosis.
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Case Report and Literature Review on Low-Osmolar, Non-Ionic Iodine-Based Contrast-Induced Encephalopathy.
Liu, MR, Jiang, H, Li, XL, Yang, P
Clinical interventions in aging. 2020;:2277-2289
Abstract
Contrast-induced encephalopathy (CIE) is a rare complication following percutaneous carotid and coronary interventions, and important diagnostic radiological signs include brain edema and cortical enhancement. In this report, we detail a case of probable CIE in an 84-year-old woman following a normal diagnostic coronary angiography (CAG) that involved 20 mL of the low-osmolar, non-ionic monomeric, iodine-based contrast agent iopromide (Ultravist 370). The patient was unconscious and presented with hemiparesis, hemianopia, recurrent seizures, and cardiac and respiratory arrest within minutes to hours following the procedure. Non-contrast computed tomography (CT) of the head showed increased subarachnoid density, cortical enhancement, and brain edema in the right hemisphere. Three days of rehydration, reduction in cranial pressure, and treatment with an anticonvulsant and dexamethasone resulted in a gradual recovery with no neurological deficits. This case highlights that severe neurotoxic symptoms may occur in response to low doses of low-osmolar, non-ionic, monomeric contrast agents. This finding is of importance to interventional cardiologists for diagnostic considerations and development of treatment plans.
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Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.
Al'Aref, SJ, Maliakal, G, Singh, G, van Rosendael, AR, Ma, X, Xu, Z, Alawamlh, OAH, Lee, B, Pandey, M, Achenbach, S, et al
European heart journal. 2020;(3):359-367
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Abstract
AIMS: Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and the coronary artery calcium score (CACS), to predict the presence of obstructive CAD on coronary computed tomography angiography (CCTA). METHODS AND RESULTS The study screened 35 281 participants enrolled in the CONFIRM registry, who underwent ≥64 detector row CCTA evaluation because of either suspected or previously established CAD. A boosted ensemble algorithm (XGBoost) was used, with data split into a training set (80%) on which 10-fold cross-validation was done and a test set (20%). Performance was assessed of the (1) ML model (using 25 clinical and demographic features), (2) ML + CACS, (3) CAD consortium clinical score, (4) CAD consortium clinical score + CACS, and (5) updated Diamond-Forrester (UDF) score. The study population comprised of 13 054 patients, of whom 2380 (18.2%) had obstructive CAD (≥50% stenosis). Machine learning with CACS produced the best performance [area under the curve (AUC) of 0.881] compared with ML alone (AUC of 0.773), CAD consortium clinical score (AUC of 0.734), and with CACS (AUC of 0.866) and UDF (AUC of 0.682), P < 0.05 for all comparisons. CACS, age, and gender were the highest ranking features. CONCLUSION A ML model incorporating clinical features in addition to CACS can accurately estimate the pretest likelihood of obstructive CAD on CCTA. In clinical practice, the utilization of such an approach could improve risk stratification and help guide downstream management.