scholarly journals Aortic arch calcification and risk of cardiovascular or all-cause and mortality in dialysis patients: A meta-analysis

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ao Zhang ◽  
Shiji Wang ◽  
Hongxiang Li ◽  
Juan Yang ◽  
Hui Wu
PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e48793 ◽  
Author(s):  
Mi Jung Lee ◽  
Dong Ho Shin ◽  
Seung Jun Kim ◽  
Hyung Jung Oh ◽  
Dong Eun Yoo ◽  
...  

VASA ◽  
2005 ◽  
Vol 34 (2) ◽  
pp. 113-117 ◽  
Author(s):  
Papanas ◽  
Symeonidis ◽  
Maltezos ◽  
Giannakis ◽  
Mavridis ◽  
...  

Background: The purpose of this study is to evaluate the severity of aortic arch calcification among type 2 diabetic patients in association with diabetes duration, diabetic complications, coronary artery disease and presence of cardiovascular risk factors. Patients and methods: This study included 207 type 2 diabetic patients (101 men) with a mean age of 61.5 ± 8.1 years and a mean diabetes duration of 13.9 ± 6.4 years. Aortic arch calcification was assessed by means of posteroanterior chest X-rays. Severity of calcification was graded as follows: grade 0 (no visible calcification), grade 1 (small spots of calcification or single thin calcification of the aortic knob), grade 2 (one or more areas of thick calcification), grade 3 (circular calcification of the aortic knob). Results: Severity of calcification was grade 0 in 84 patients (40.58%), grade 1 in 64 patients (30.92%), grade 2 in 43 patients (20.77%) and grade 3 in 16 patients (7.73%). In simple regression analysis severity of aortic arch calcification was associated with age (p = 0.032), duration of diabetes (p = 0.026), insulin dependence (p = 0.042) and presence of coronary artery disease (p = 0.039), hypertension (p = 0.019), dyslipidaemia (p = 0.029), retinopathy (p = 0.012) and microalbuminuria (p = 0.01). In multiple regression analysis severity of aortic arch calcification was associated with age (p = 0.04), duration of diabetes (p = 0.032) and presence of hypertension (p = 0.024), dyslipidaemia (p = 0.031) and coronary artery disease (p = 0.04), while the association with retinopathy, microalbuminuria and insulin dependence was no longer significant. Conclusions: Severity of aortic arch calcification is associated with age, diabetes duration, diabetic complications (retinopathy, microalbuminuria), coronary artery disease, insulin dependence, and presence of hypertension and dyslipidaemia.


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.


2021 ◽  
Vol 8 ◽  
pp. 205435812199399
Author(s):  
Sara N. Davison ◽  
Sarah Rathwell ◽  
Sunita Ghosh ◽  
Chelsy George ◽  
Ted Pfister ◽  
...  

Background: Chronic pain is a common and distressing symptom reported by patients with chronic kidney disease (CKD). Clinical practice and research in this area do not appear to be advancing sufficiently to address the issue of chronic pain management in patients with CKD. Objectives: To determine the prevalence and severity of chronic pain in patients with CKD. Design: Systematic review and meta-analysis. Setting: Interventional and observational studies presenting data from 2000 or later. Exclusion criteria included acute kidney injury or studies that limited the study population to a specific cause, symptom, and/or comorbidity. Patients: Adults with glomerular filtration rate (GFR) category 3 to 5 CKD including dialysis patients and those managed conservatively without dialysis. Measurements: Data extracted included title, first author, design, country, year of data collection, publication year, mean age, stage of CKD, prevalence of pain, and severity of pain. Methods: Databases searched included MEDLINE, CINAHL, EMBASE, and Cochrane Library, last searched on February 3, 2020. Two reviewers independently screened all titles and abstracts, assessed potentially relevant articles, and extracted data. We estimated pooled prevalence of overall chronic pain, musculoskeletal pain, bone/joint pain, muscle pain/soreness, and neuropathic pain and the I2 statistic was computed to measure heterogeneity. Random effects models were used to account for variations in study design and sample populations and a double arcsine transformation was used in the model calculations to account for potential overweighting of studies reporting either very high or very low prevalence measurements. Pain severity scores were calibrated to a score out of 10, to compare across studies. Weighted mean severity scores and 95% confidence intervals were reported. Results: Sixty-eight studies representing 16 558 patients from 26 countries were included. The mean prevalence of chronic pain in hemodialysis patients was 60.5%, and the mean prevalence of moderate or severe pain was 43.6%. Although limited, pain prevalence data for peritoneal dialysis patients (35.9%), those managed conservatively without dialysis (59.8%), those following withdrawal of dialysis (39.2%), and patients with earlier GFR category of CKD (61.2%) suggest similarly high prevalence rates. Limitations: Studies lacked a consistent approach to defining the chronicity and nature of pain. There was also variability in the measures used to determine pain severity, limiting the ability to compare findings across populations. Furthermore, most studies reported mean severity scores for the entire cohort, rather than reporting the prevalence (numerator and denominator) for each of the pain severity categories (mild, moderate, and severe). Mean severity scores for a population do not allow for “responder analyses” nor allow for an understanding of clinically relevant pain. Conclusions: Chronic pain is common and often severe across diverse CKD populations providing a strong imperative to establish chronic pain management as a clinical and research priority. Future research needs to move toward a better understanding of the determinants of chronic pain and to evaluating the effectiveness of pain management strategies with particular attention to the patient outcomes such as overall symptom burden, physical function, and quality of life. The current variability in the outcome measures used to assess pain limits the ability to pool data or make comparisons among studies, which will hinder future evaluations of the efficacy and effectiveness of treatments. Recommendations for measuring and reporting pain in future CKD studies are provided. Trial registration: PROSPERO Registration number CRD42020166965


Renal Failure ◽  
2014 ◽  
Vol 37 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Chun-Juan Zhai ◽  
Xin-Shuang Yu ◽  
Xiao-Wei Yang ◽  
Jing Sun ◽  
Rong Wang

2021 ◽  
Author(s):  
F. Huber ◽  
J. Gottsberger ◽  
B. Schachner ◽  
P. Benedikt ◽  
A. Zierer

Cardiology ◽  
2010 ◽  
Vol 117 (4) ◽  
pp. 260-264 ◽  
Author(s):  
Lin Xu ◽  
Chao Qiang Jiang ◽  
Tai Hing Lam ◽  
G. Neil Thomas ◽  
Wei Sen Zhang ◽  
...  

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