scholarly journals The Prognostic Value of Family History for the Estimation of Cardiovascular Mortality Risk in Men: Results from a Long-Term Cohort Study in Lithuania

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0143839 ◽  
Author(s):  
Abdonas Tamosiunas ◽  
Ricardas Radisauskas ◽  
Jurate Klumbiene ◽  
Gailute Bernotiene ◽  
Janina Petkeviciene ◽  
...  
2020 ◽  
Vol 229 ◽  
pp. 171
Author(s):  
Noraidatulakma Abdullah ◽  
Nor Azian Abdul Murad ◽  
Raihannah Othman ◽  
Azwa Shazwani Kamalul Arifin ◽  
Mohd Raziff Alias ◽  
...  

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318860
Author(s):  
Johanna Helmersson-Karlqvist ◽  
Miklos Lipcsey ◽  
Johan Ärnlöv ◽  
Max Bell ◽  
Bo Ravn ◽  
...  

ObjectiveDecreased kidney function increases cardiovascular risk and predicts poor survival. Estimated glomerular filtration rate (eGFR) by creatinine may theoretically be less accurate in the critically ill. This observational study compares long-term cardiovascular mortality risk by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation; Caucasian, Asian, paediatric and adult cohort (CAPA) cystatin C equation and the CKD-EPI combined creatinine/cystatin C equation.MethodsThe nationwide study includes 22 488 intensive care patients in Uppsala, Karolinska and Lund University Hospitals, Sweden, between 2004 and 2015. Creatinine and cystatin C were analysed with accredited methods at admission. Reclassification and model discrimination with C-statistics was used to compare creatinine and cystatin C for cardiovascular mortality prediction.ResultsDuring 5 years of follow-up, 2960 (13 %) of the patients died of cardiovascular causes. Reduced eGFR was significantly associated with cardiovascular death by all eGFR equations in Cox regression models. In each creatinine-based GFR category, 17%, 19% and 31% reclassified to a lower GFR category by cystatin C. These patients had significantly higher cardiovascular mortality risk, adjusted HR (95% CI), 1.55 (1.38 to 1.74), 1.76 (1.53 to 2.03) and 1.44 (1.11 to 1.86), respectively, compared with patients not reclassified. Harrell’s C-statistic for cardiovascular death for cystatin C, alone or combined with creatinine, was 0.73, significantly higher than for creatinine (0.71), p<0.001.ConclusionsA single cystatin C at admission to the intensive care unit added significant predictive value to creatinine for long-term cardiovascular death risk assessment. Cystatin C, alone or in combination with creatinine, should be used for estimating GFR for long-term risk prediction in critically ill.


PLoS ONE ◽  
2014 ◽  
Vol 9 (12) ◽  
pp. e116273 ◽  
Author(s):  
Yusuke Sakaguchi ◽  
Naohiko Fujii ◽  
Tatsuya Shoji ◽  
Terumasa Hayashi ◽  
Hiromi Rakugi ◽  
...  

2020 ◽  
pp. 1-10
Author(s):  
Hongwei Wu ◽  
Qiang Li ◽  
Lijing Fan ◽  
Dewang Zeng ◽  
Xianggeng Chi ◽  
...  

<b><i>Background:</i></b> Previous studies have reported that serum magnesium (Mg) deficiency is involved in the development of heart failure, particularly in patients with end-stage kidney disease. The association between serum Mg levels and mortality risk in patients receiving hemodialysis is controversial. We aimed to estimate the prognostic value of serum Mg concentration on all-cause mortality and cardiovascular mortality in patients receiving hemodialysis. <b><i>Methods:</i></b> We did a systematic literature search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify eligible studies that reported the prognostic value of serum Mg levels in mortality risk among patients on hemodialysis. We performed a meta-analysis by pooling and analyzing hazard ratios (HRs) and 95% confidence intervals (CIs). <b><i>Results:</i></b> We identified 13 observational studies with an overall sample of 42,967 hemodialysis patients. Higher all-cause mortality (adjusted HR 1.58 [95% CI: 1.31–1.91]) and higher cardiovascular mortality (adjusted HR 3.08 [95% CI: 1.27–7.50]) were found in patients with lower serum Mg levels after multivariable adjustment. There was marked heterogeneity (<i>I</i><sup>2</sup> = 79.6%, <i>p</i> &#x3c; 0.001) that was partly explained by differences in age stratification and study area. In addition, subgroup analysis showed that a serum Mg concentration of ≤1.1 mmol/L might be the vigilant cutoff value. <b><i>Conclusion:</i></b> A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.


2014 ◽  
Vol 64 (5) ◽  
pp. 472-481 ◽  
Author(s):  
Duck-chul Lee ◽  
Russell R. Pate ◽  
Carl J. Lavie ◽  
Xuemei Sui ◽  
Timothy S. Church ◽  
...  

Author(s):  
Serkan Asil ◽  
Ender Murat ◽  
Hatice Taşkan ◽  
Veysel Özgür Barış ◽  
Suat Görmel ◽  
...  

Introduction: The most important way to reduce CVD-related mortality is to apply appropriate treatment according to the risk status of the patients. For this purpose, the SCORE risk model is used in Europe. In addition to these risk models, some anthropometric measurements are known to be associated with CVD risk and risk factors. Objectives: This study aimed to investigate the association of these anthropometric measurements, especially neck circumference (NC), with the SCORE risk chart. Methods: This was planned as a cross-sectional study. The study population were classified according to their SCORE risk values. The relationship of NC and other anthropometric measurements with the total cardiovascular risk indicated by the SCORE risk was investigated. Results: A total of 232 patients were included in the study. The patients participating in the study were analysed in four groups according to the SCORE ten-year total cardiovascular mortality risk. As a result, the NC was statistically significantly lower among the SCORE low and moderate risk group than all other SCORE risk groups (low-high and very high 36(3)–38(4) (IQR) p: 0.026, 36(3)–39(4) (IQR) p < 0.001, 36(3)–40(4) (IQR) p < 0.001), (moderate-high and very high 38(4) vs. 39(4) (IQR) p: 0.02, 38(4) vs. 40(4) (IQR) p < 0.001, 39(4) vs. 40(4) (IQR) p > 0.05). NC was found to have the strongest correlation with SCORE than the other anthropometric measurements. Conclusions: Neck circumference correlates strongly with the SCORE risk model which shows the ten-year cardiovascular mortality risk and can be used in clinical practice to predict CVD risk.


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