scholarly journals Accelerated coronary artery calcification in mildly reduced renal function of high-risk hypertensives: A three-year prospective observation

2003 ◽  
Vol 41 (6) ◽  
pp. 311
Author(s):  
Joseph Shemesh ◽  
Michael Bursztyn ◽  
Ehud Grossman ◽  
Michael Motro
2003 ◽  
Vol 21 (10) ◽  
pp. 1953-1959 ◽  
Author(s):  
Michael Bursztyn ◽  
Michael Motro ◽  
Ehud Grossman ◽  
Joseph Shemesh

VASA ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Adem Adar ◽  
Hakan Erkan ◽  
Tayyar Gokdeniz ◽  
Aysegul Karadeniz ◽  
Ismail G. Cavusoglu ◽  
...  

Background: We aimed to investigate the association between aortic arch and coronary artery calcification (CAC). We postulated that low‐ and high‐risk CAC scores could be predicted with the evaluation of standard chest radiography for aortic arch calcification (AAC). Patients and methods: Consecutive patients who were referred for a multidetector computerized tomography (MDCT) examination were enrolled prospectively. All patients were scanned using a commercially available 64‐slice MDCT scanner for the evaluation of CAC score. A four‐point grading scale (0, 1, 2 and 3) was used to evaluate AAC on the standard posterior‐anterior chest radiography images. Results: The study group consisted of 248 patients. Median age of the study group was 52 (IQR: 10) years, and 165 (67 %) were male. AAC grades (r = 0.676, p < 0.0001) and age (r = 0.518, p < 0.0001) were significantly and positively correlated with CAC score. Presence of AAC was independently associated with the presence of CAC (OR: 11.20, 95 % CI 4.25 to 29.52). An AAC grade of ≥ 2 was the strongest independent predictor of a high‐risk CAC score (OR: 27.42, 95 % CI 6.09 to 123.52). Receiver operating characteristics curve analysis yielded a strong predictive ability of AAC grades for a CAC score of ≥ 100 (AUC = 0.892, P < 0.0001), and ≥ 400 (AUC = 0.894, P < 0.0001). Absence of AAC had a sensitivity, specificity and accuracy of 90 %, 84 % and 89 %, respectively, for a CAC score of < 100. An AAC grade of ≥ 2 predicted a CAC score of ≥400 with a sensitivity, specificity and accuracy of 68 %, 98 % and 95 %, respectively. Conclusions: AAC is a strong and independent predictor of CAC. The discriminative performance of AAC is high in detecting patients with low‐ and high‐risk CAC scores.


2012 ◽  
Vol 53 (4) ◽  
pp. 685 ◽  
Author(s):  
Jae Hyun Chang ◽  
Ji Yoon Sung ◽  
Ji Yong Jung ◽  
Hyun Hee Lee ◽  
Wookyung Chung ◽  
...  

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Fei Chen ◽  
Zhi-liang Zuo ◽  
Fang-yang Huang ◽  
Tian-li Xia ◽  
Bao-tao Huang ◽  
...  

2005 ◽  
Vol 45 (4) ◽  
pp. 787 ◽  
Author(s):  
Nurhan Seyahi ◽  
Mehmet R. Altiparmak ◽  
Arzu Kahveci

2002 ◽  
Vol 22 (3) ◽  
pp. 418-423 ◽  
Author(s):  
Leslie A. Lange ◽  
Ethan M. Lange ◽  
Lawrence F. Bielak ◽  
Carl D. Langefeld ◽  
Sharon L. Kardia ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Hanjun Mo ◽  
Fang Ye ◽  
Danxia Chen ◽  
Qizhe Wang ◽  
Ru Liu ◽  
...  

Background: Contrast induced nephropathy (CIN) is a common complication in patients receiving intravascular contrast media. In 2020, the American College of Radiology and the National Kidney Foundation issued a new contrast induced acute kidney injury (CI-AKI) criteria. Therefore, we aimed to explore the potential risk factors for CIN under the new criteria, and develop a predictive model for patients with coronary artery disease (CAD) with relatively normal renal function (NRF).Methods: Patients undergoing coronary angiography or percutaneous coronary intervention at Zhongshan Hospital, Fudan University between May 2019 and April 2020 were consecutively enrolled. Eligible candidates were selected for statistical analysis. Univariate and multivariate logistic regression analyses were used to identify the predictive factors. A stepwise method and a machine learning (ML) method were used to construct a model based on the Akaike information criterion. The performance of our model was evaluated using the area under the receiver operating characteristic curves (AUC) and calibration curves. The model was further simplified into a risk score.Results: A total of 2,009 patients with complete information were included in the final statistical analysis. The results showed that the incidence of CIN was 3.2 and 1.2% under the old and new criteria, respectively. Three independent predictors were identified: baseline uric acid level, creatine kinase-MB level, and log (N-terminal pro-brain natriuretic peptide) level. Our stepwise model had an AUC of 0.816, which was higher than that of the ML model (AUC = 0.668, P = 0.09). The model also achieved accurate predictions regarding calibration. A risk score was then developed, and patients were divided into two risk groups: low risk (total score &lt; 10) and high risk (total score ≥ 10).Conclusions: In this study, we first identified important predictors of CIN in patients with CAD with NRF. We then developed the first CI-AKI model on the basis of the new criteria, which exhibited accurate predictive performance. The simplified risk score may be useful in clinical practice to identify high-risk patients.


2020 ◽  
Vol 315 ◽  
pp. e264-e265
Author(s):  
V.V. Semenov ◽  
V. Stryzhenyi ◽  
D. Chvora ◽  
Y. Larchenko ◽  
T. Glebova ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Olexandr Kuryata ◽  
Viktor Shatailo ◽  
Alina Nikolaichyk ◽  
Viktor Semenov

Abstract Background and Aims Coronary artery calcium score (CACS) allows to improve significantly predictive value of traditional tools for cardiovascular risk estimation. Reduced renal function is associated with increase of rates of cardiovascular events. Dyslipidemia is an important factor of cardiovascular system injury in chronic kidney disease. The Aim. To investigate association between glomerular filtration rate (GFR), total cholesterol and CACS. Method We performed the study on 170 patients (77 males and 93 females, aged 56 [52;63] years) who underwent CACS at Dnipropetrovsk Mechnikov Regional Hospital, Dnipro, Ukraine, from December 2017 till March 2019. Patients in the study were free of known cardiovascular disease and required reclassification of cardiovascular risk. Patients were subdivided by total cholesterol (TC) level (&lt;5.2 mmol/l, n=83; ≥5.2 mmol/l, n=87) and by GFR (≥90 ml/min, n=64; 60-89 ml/min, n=90; 30-59 ml/min, n=16). CACS was presented in Agatston units (AU). Results Median age in groups by TC was comparable (56 [53;63] vs 56 [51;64] years, p=0.51) and elevated significantly with decline of GFR (54 [49;59], 57 [53;65] and 70 [59;77] years for patients with GFR≥90, 60-89 and 30-59 ml/min respectively, p for trend &lt;0.001). We didn’t observe any statistically significant differences of CACS after patients subdivision, though it was higher in TC≥5.2 mmol/l group. Conclusion We didn’t find convincing data supporting significant impact of TC excess on coronary artery calcification.


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