2017
DOI: 10.1161/jaha.116.005235
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Effect Modification of Chronic Kidney Disease on the Association of Circulating and Imaging Cardiac Biomarkers With Outcomes

Abstract: BackgroundCardiac troponin T and brain natriuretic peptide (BNP) are elevated in >50% of dialysis patients and are associated with poor outcomes. Few data investigated these associations in earlier chronic kidney disease (CKD).Methods and ResultsWe studied whether CKD modified associations of elevated BNP, N‐terminal‐pro‐BNP, high‐sensitivity cardiac troponin T, coronary artery calcification, and left ventricular hypertrophy with all‐cause death and cardiovascular death/events in 3218 multiethnic individuals f… Show more

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Cited by 29 publications
(24 citation statements)
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“…More research is required to define optimal thresholds for these measures, and determine how they should be utilised in combination with other prognostically important information, including alternative preoperative biomarkers (e.g., high-sensitivity troponin). 47 These other biomarkers might also help address, in part, the limitations of NT pro-BNP as a prognostic biomarker in the presence of obesity, 48 chronic renal kidney, 49 or heart failure with preserved ejection fraction. 50 Our findings also indicate that CPET, specifically VO 2 peak, can be used to identify patients at elevated risk for postoperative complications.…”
Section: Future Directionsmentioning
confidence: 99%
“…More research is required to define optimal thresholds for these measures, and determine how they should be utilised in combination with other prognostically important information, including alternative preoperative biomarkers (e.g., high-sensitivity troponin). 47 These other biomarkers might also help address, in part, the limitations of NT pro-BNP as a prognostic biomarker in the presence of obesity, 48 chronic renal kidney, 49 or heart failure with preserved ejection fraction. 50 Our findings also indicate that CPET, specifically VO 2 peak, can be used to identify patients at elevated risk for postoperative complications.…”
Section: Future Directionsmentioning
confidence: 99%
“…In contrast, Lamb et al [8] reported that cTnT concentration, but not cTnI, was independently associated with all-cause death. A multiethnic cohort study that followed 3,218 patients for 12.5 years reported that hs-cTnT was a valid indicator of all-cause death and cardiovascular events in CKD patients [12]. Increased levels of dp-ucMGP have been associated with increased mortality in dialysis patients CKD, chronic kidney disease; cTnT, cardiac troponin T; cTnI, cardiac troponin I; BNP, B-type natriuretic peptide; NT-proBNP, N-terminal proBNP; ST2, suppression of tumorigenicity 2; sST2, soluble ST2; GDF-15, growth and differentiation factor-15; MGP, matrix gla protein; ucMGP, undercarboxylated MGP; Dp-ucMGP, dephosphorylated undercarboxylated MGP.…”
Section: Prognostic Utility Of Troponinmentioning
confidence: 99%
“…In a multiethnic cohort study that followed 3,218 patients for 12.5 years, Gregg et al [12] reported that BNP, NT-proBNP, and hs-cTnT were valid indicators of all-cause death and cardiovascular events in CKD patients, and associations were equivalent if not stronger as compared to non-CKD individuals. The prognostic value persisted even after the adjustment for eGFR and traditional cardiovascular risk factors [12]. However, studies have failed to identify consistent thresholds for BNP and NT-proBNP in CKD patients with decompensated heart failure that can help clinicians differentiate cardiac vs. non-cardiac causes of shortness of breath or volume overload.…”
Section: Diagnostic Utility Of Bnpmentioning
confidence: 99%
“…Furthermore, the clinical performance of biomarkers needs to be confirmed in large prospective endpoint trials. In this regard, recent trials investigated the plasma concentrations of NT-proBNP, troponin T, and IGF-BP2 in patients with CKD and reported a higher prognostic value of the investigated biomarkers in these patients [61,62]. However, it is always questionable whether such studies consistently correct their statistical models for kidney function.…”
Section: Discussionmentioning
confidence: 99%