Literature DB >> 30517376

Cystatin C as a Candidate Biomarker of Cardiovascular Outcomes: Too Near, but too Far from Reality.

Luiz Sérgio F de Carvalho1,2, Thiago Quinaglia Ac Silva1, Otávio Rizzi Coelho-Filho1.   

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Year:  2018        PMID: 30517376      PMCID: PMC6263453          DOI: 10.5935/abc.20180226

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


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While the development of novel risk factors for cardiovascular risk assessment is necessary to improve risk stratification, proving its clinical value on top of traditional risk factors is routinely challenging.[1-3] Besides all the innovative and straightforward biomarker research published in the last decades, only very few markers of cardiovascular risk have shown clinical significance.[4,5] Among many of them, cystatin C has emerged some years ago as a candidate for improving cardiovascular risk stratification. In the Cardiovascular Health Study (CHS),[6] a community-based and longitudinal study with over 4,600 elderly individuals, cystatin C has shown to predict cardiovascular outcomes. As compared with the lowest quintile, the highest quintile of cystatin C was associated with a significantly increased risk of death from cardiovascular causes (hazard ratio [HR] 2.27 [1.73 to 2.97]), myocardial infarction (HR 1.48 [1.08 to 2.02]), and stroke (HR 1.47 [1.09 to 1.96]) after multivariate adjustment. However, cystatin C is typically known as a marker of renal function, being roughly correlated with glomerular filtration rate in early stages of kidney diseases.[7,8] Reasonably, since glomerular function is a strong surrogate marker of cardiovascular disease, it suggests an obvious association between cystatin C and cardiovascular outcomes. A mechanism to avoid the impact of this inexorable bias was to study only individuals with normal kidney function. Yet, additional studies have shown inconsistent magnitudes of effect between cystatin C and cardiovascular outcomes. In that context, Einwoegerer and Domingueti[9] in this issue of the Brazilian Archives of Cardiology investigated the role of plasma cystatin C levels on the risk of all-cause mortality and other softer endpoints by pooling studies of individuals with normal renal function. Unfortunately, only two studies compared quartiles of cystatin C with multivariate regression analysis, hence providing a sample size that is not too far from the original Ludwigshafen Risk and Cardiovascular Health (LURIC) study.[10] The meta-analysis suggested a robust association between high levels of cystatin C and the risk of all-cause mortality in individuals with normal renal function (HR 2.28 [1.70 - 3.05], p < 0.001). Heterogeneity among studies was substantial (I2 > 50%) and no sensitivity analysis was provided. Besides the critical limitations in meta-analysis data, authors also provided substantial elements in a systematic review of studies on the same topic. Although a first step for a candidate biomarker is to show strong association with a clinical outcome, this is not sufficient to prove its complementary clinically usefulness beyond traditional cardiovascular risk factors, such as age, gender, smoking, hypertension, diabetes, hyperlipidemia, obesity and aortic stenosis. A next fundamental step is to show whether cystatin C could improve risk prediction of cardiovascular outcomes in Receiver operating characteristic (ROC) curves models, net reclassification index (NRI) and integrated discrimination index (IDI) compared-to or added-to the Framinghan Heart Risk, ASCVD risk score, or any validated cardiovascular risk scores/engines.[11,12] Besides the potential mechanistic link between cystatin C and atherosclerotic disease, this association is unlikely to be causal. By using a Mendelian randomization approach, which takes into account both the genetic association with cystatin C and CVD to triangulate the causal effect, and combining a set of cohorts of over 250,000 individuals with 63,000 cases of cardiovascular events from the Cystatin C Mendelian Randomization Consortium no association could be found.[13] This finding in no way suggests that we should abandon the use of cystatin C for risk stratification purposes in kidney diseases, but there are two key messages in it: (i) it alerts against the chase of therapeutic strategies that target at lowering plasma cystatin C levels; (ii) it also indicates a low likelihood of association between cystatin C as a surrogate cardiovascular marker on top of classical risk factors. However, the last word in favor or against the use of cystatin C in clinical practice for cardiovascular risk stratification of individuals with normal renal function should be based on studies evaluating detrimental effects of this marker on established risk scores/engines.
  13 in total

Review 1.  Non-alcoholic fatty liver disease: a new and important cardiovascular risk factor?

Authors:  Lokpal S Bhatia; Nicholas P Curzen; Philip C Calder; Christopher D Byrne
Journal:  Eur Heart J       Date:  2012-03-08       Impact factor: 29.983

2.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

3.  Cystatin C and contrast-induced acute kidney injury.

Authors:  Carlo Briguori; Gabriella Visconti; Natalia V Rivera; Amelia Focaccio; Bruno Golia; Rosalia Giannone; Diletta Castaldo; Francesca De Micco; Bruno Ricciardelli; Antonio Colombo
Journal:  Circulation       Date:  2010-05-03       Impact factor: 29.690

4.  Cystatin C is independently associated with total and cardiovascular mortality in individuals undergoing coronary angiography. The Ludwigshafen Risk and Cardiovascular Health (LURIC) study.

Authors:  Rainer P Woitas; Marcus E Kleber; Andreas Meinitzer; Tanja B Grammer; Günther Silbernagel; Stefan Pilz; Andreas Tomaschitz; Gisela Weihrauch; Harald Dobnig; Winfried März; Hubert Scharnagl
Journal:  Atherosclerosis       Date:  2013-05-03       Impact factor: 5.162

5.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

6.  NGAL (neutrophil gelatinase-associated lipocalin) and cystatin C: are they good predictors of contrast nephropathy after percutaneous coronary interventions in patients with stable angina and normal serum creatinine?

Authors:  H Bachorzewska-Gajewska; J Malyszko; E Sitniewska; J S Malyszko; B Poniatowski; K Pawlak; S Dobrzycki
Journal:  Int J Cardiol       Date:  2007-06-13       Impact factor: 4.164

7.  Quantification of epicardial and intrathoracic fat volume does not provide an added prognostic value as an adjunct to coronary artery calcium score and myocardial perfusion single-photon emission computed tomography.

Authors:  Mathias Possner; Riccardo Liga; Thomas Gaisl; Jan Vontobel; Olivier F Clerc; Fran Mikulicic; Dominik C Benz; Christoph Gräni; Julia Stehli; Tobias A Fuchs; Damini Dey; Aju P Pazhenkottil; Bernhard A Herzog; Oliver Gaemperli; Ronny R Buechel; Philipp A Kaufmann
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-09-04       Impact factor: 6.875

8.  Common carotid intima-media thickness measurements do not improve cardiovascular risk prediction in individuals with elevated blood pressure: the USE-IMT collaboration.

Authors:  Michiel L Bots; Karlijn A Groenewegen; Todd J Anderson; Annie R Britton; Jacqueline M Dekker; Gunnar Engström; Greg W Evans; Jacqueline de Graaf; Diederick E Grobbee; Bo Hedblad; Albert Hofman; Suzanne Holewijn; Ai Ikeda; Maryam Kavousi; Kazuo Kitagawa; Akihiko Kitamura; M Arfan Ikram; Eva M Lonn; Matthias W Lorenz; Ellisiv B Mathiesen; Giel Nijpels; Shuhei Okazaki; Daniel H O'Leary; Joseph F Polak; Jacqueline F Price; Christine Robertson; Christopher M Rembold; Maria Rosvall; Tatjana Rundek; Jukka T Salonen; Matthias Sitzer; Coen D A Stehouwer; Oscar H Franco; Sanne A E Peters; Hester M den Ruijter
Journal:  Hypertension       Date:  2014-03-10       Impact factor: 10.190

9.  The high-density lipoprotein-adjusted SCORE model worsens SCORE-based risk classification in a contemporary population of 30,824 Europeans: the Copenhagen General Population Study.

Authors:  Martin B Mortensen; Shoaib Afzal; Børge G Nordestgaard; Erling Falk
Journal:  Eur Heart J       Date:  2015-06-16       Impact factor: 29.983

10.  Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.

Authors:  Sander W van der Laan; Tove Fall; Aicha Soumaré; Alexander Teumer; Sanaz Sedaghat; Jens Baumert; Delilah Zabaneh; Jessica van Setten; Ivana Isgum; Tessel E Galesloot; Johannes Arpegård; Philippe Amouyel; Stella Trompet; Melanie Waldenberger; Marcus Dörr; Patrik K Magnusson; Vilmantas Giedraitis; Anders Larsson; Andrew P Morris; Janine F Felix; Alanna C Morrison; Nora Franceschini; Joshua C Bis; Maryam Kavousi; Christopher O'Donnell; Fotios Drenos; Vinicius Tragante; Patricia B Munroe; Rainer Malik; Martin Dichgans; Bradford B Worrall; Jeanette Erdmann; Christopher P Nelson; Nilesh J Samani; Heribert Schunkert; Jonathan Marchini; Riyaz S Patel; Aroon D Hingorani; Lars Lind; Nancy L Pedersen; Jacqueline de Graaf; Lambertus A L M Kiemeney; Sebastian E Baumeister; Oscar H Franco; Albert Hofman; André G Uitterlinden; Wolfgang Koenig; Christa Meisinger; Annette Peters; Barbara Thorand; J Wouter Jukema; Bjørn Odvar Eriksen; Ingrid Toft; Tom Wilsgaard; N Charlotte Onland-Moret; Yvonne T van der Schouw; Stéphanie Debette; Meena Kumari; Per Svensson; Pim van der Harst; Mika Kivimaki; Brendan J Keating; Naveed Sattar; Abbas Dehghan; Alex P Reiner; Erik Ingelsson; Hester M den Ruijter; Paul I W de Bakker; Gerard Pasterkamp; Johan Ärnlöv; Michael V Holmes; Folkert W Asselbergs
Journal:  J Am Coll Cardiol       Date:  2016-08-30       Impact factor: 24.094

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