Prognostic value of cardiac markers in ESRD: Chronic Hemodialysis and New Cardiac Markers Evaluation (CHANCE) study

Iliou, Marie Christine; Fumeron, Christine; Benoit, Marie-Odile; Tuppin, Philippe; Calonge, Victorio Menoyo; Moatti, N.; Buisson, Claude; Jacquot, C.

doi:10.1016/s0272-6386(03)00746-7

Cited by 55 publications

(42 citation statements)

References 32 publications

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“…d Sudden cardiac death versus nonsudden cardiac death (P,0.05). or natriuretic peptides, and markers of inflammation, such as IL-6, were not collected (26,39,40). High-sensitivity Creactive protein was available in only a subset of participants and was therefore not included.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Sudden Cardiac Death

Shastri

Tangri

Tighiouart

et al. 2012

Clinical Journal of the American Society of Nephrology

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SummaryBackground and objectives There are few data on risk factors for sudden cardiac death (SCD) in patients undergoing hemodialysis (HD). The study objective was to identify predictors associated with various causes of death in the Hemodialysis (HEMO) Study and to develop a prediction model for SCD using a competing risk approach.Design, setting, participants, & measurements In this analysis of 1745 HEMO participants, all-cause mortality was classified as SCD, non-SCD, and noncardiac death. Predictors for each cause of death were evaluated using cause-specific Cox proportional hazards models, and a competing risk approach was used to calculate absolute risk predictions for SCD.Results During a median follow-up of 2.5 years, 808 patients died. Rates of SCD, non-SCD, and noncardiac death were 22%, 17%, and 61%, respectively. Predictors of various causes of death differ somewhat in HD patients. Age, diabetes, peripheral vascular disease, ischemic heart disease, serum creatinine, and alkaline phosphatase were independent predictors of SCD. The 3-year C-statistic for SCD was 0.75 (95% confidence interval, 0.70-0.79), and calibration was good (x 2 =1.1; P=0.89). At years 3 and 5 of follow-up, the standard Cox model overestimated the risk for SCD as compared with the competing risk approach on the relative scale by 25% and 46%, respectively, and on the absolute scale by 2% and 6%, respectively.Conclusions Predictors of various causes of death differ in HD patients. The proposed prediction model for SCD accounts for competing causes of death. External validation of this model is required.

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Section: Discussionmentioning

confidence: 99%

Predictors of Sudden Cardiac Death

Shastri

Tangri

Tighiouart

et al. 2012

Clinical Journal of the American Society of Nephrology

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“…Conversely, clinically relevant heart involvement is overall rare in patients with AA amyloidosis (7,17). The prognostic value of troponin, a powerful predictive factor of survival in patients undergoing hemodialysis (19) and in those with primary amyloidosis regardless of ESRD (20), remains to be more thoroughly evaluated in patients with AL amyloidosis on dialysis.…”

Section: Discussionmentioning

confidence: 99%

Presentation and Outcome of Patients with Systemic Amyloidosis Undergoing Dialysis

Bollée

Guery²,

Joly³

et al. 2008

Clinical Journal of the American Society of Nephrology

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“…Most of the studies showed a positive correlation of LVMI and LV dysfunction with levels of cTnT as well as NT-proBNP [32,33,34]. The relationship between LVH and myocardial ischemia is well known and is due to decreased perfusion of the myocardial wall [35].…”

Section: Discussionmentioning

confidence: 99%

Association between Changes in N-Terminal Pro-Brain Natriuretic Peptide Levels and Changes in Left Ventricular Mass Index in Stable Hemodialysis Patients

et al. 2008

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Background/Aims: Left ventricular (LV) hypertrophy is a powerful predictor of mortality in dialysis patients. Serial measurements of LV mass provide prognostic information. We evaluated the association between changes in biomarkers and changes in LV mass index (LVMI) in hemodialysis (HD) patients. Methods: This was a prospective study of 21 stable HD patients with preserved LV ejection fraction (≧50%). Echocardiography and measurements of N-terminal pro-brain natriuretic peptide (NT-proBNP), brain natriuretic peptide (BNP) and cardiac troponin T were performed on the same day and repeated 6 and 12 months later. Results: At baseline, the NT-proBNP and BNP levels correlated with LVMI. Percent changes in LVMI were positively associated with those in log-transformed NT-proBNP levels during both the first (baseline vs. month 6, r = 0.78, p < 0.001) and the second 6 months (months 6 vs. 12, r = 0.73, p < 0.001). Among the 3 biomarkers, NT-proBNP was the only one that was related to changes in LVMI by multivariate correlation analysis, including age, sex, blood pressure, predialysis weight and use of angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker. Conclusion: Our results show that changes in LVMI are closely correlated with variation in NT-proBNP levels in HD patients. These data have significant implications for the application of NT-proBNP as a biomarker for assessing changes in LVMI in HD patients.

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Prognostic value of cardiac markers in ESRD: Chronic Hemodialysis and New Cardiac Markers Evaluation (CHANCE) study

Cited by 55 publications

References 32 publications

Predictors of Sudden Cardiac Death

Predictors of Sudden Cardiac Death

Presentation and Outcome of Patients with Systemic Amyloidosis Undergoing Dialysis

Association between Changes in N-Terminal Pro-Brain Natriuretic Peptide Levels and Changes in Left Ventricular Mass Index in Stable Hemodialysis Patients

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