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High-Sensitivity Troponin T and C-Reactive Protein Have Different Prognostic Values in Hemo- and Peritoneal Dialysis
Titi Chen1,2,3, Hicham C Hassan4,5, Pierre Qian6,7
1The University of Sydney, Camperdown, New South Wales, Australia titi.chen@sydney.edu.au.
Insights
High-sensitivity cardiac troponin T (hs-cTnT) and C-reactive protein (CRP) predict adverse outcomes in dialysis patients. hs-cTnT monitoring is valuable for peritoneal dialysis patients, but not hemodialysis patients.
Area of Science:
- Nephrology
- Cardiology
- Biomarker Research
Background:
- Dialysis patients face high mortality rates.
- Biomarkers aid in risk stratification for this population.
- Evaluating prognostic value of hs-cTnT and CRP in dialysis patients.
Purpose of the Study:
- Assess prognostic value of hs-cTnT and CRP.
- Predict adverse outcomes in hemodialysis and peritoneal dialysis (PD) patients.
- Examine hs-cTnT variability in dialysis patients.
Main Methods:
- Retrospective cohort study of 574 dialysis patients.
- Examined mortality and major adverse cardiovascular events.
- Median follow-up of 3.5 years.
Main Results:
- hs-cTnT independently predicted outcomes in both hemodialysis and PD patients.
- CRP predicted outcomes in PD patients only.
- hs-cTnT increased over time in PD patients, but remained stable in hemodialysis patients.
Conclusions:
- hs-cTnT and CRP are useful predictors of mortality and MACE in dialysis patients.
- Interval hs-cTnT monitoring is valuable for PD patients.
- Routine hs-cTnT monitoring is not indicated for hemodialysis patients.
Background:
Dialysis patients have an exceedingly high mortality rate. Biomarkers may be useful tools in risk stratification of this population. We evaluated the prognostic value of high-sensitivity cardiac troponin T (hs-cTnT) and CRP (C-reactive protein) in predicting adverse outcomes in stable hemodialysis and peritoneal dialysis (PD) patients. Variability in hs-cTnT was also examined.
Methods And Results:
A retrospective cohort study included 574 dialysis patients (hemodialysis 347, PD 227). Outcomes examined included mortality and major adverse cardiovascular events, with median follow-up of 3.5 years. hs-cTnT was an independent predictor of both outcomes in hemodialysis and PD patients. Increased risk only became significant when hs-cTnT reached quintile 3 (>49 ng/L). Area under the receiver operating curve analysis showed that the addition of hs-cTnT to clinical parameters significantly improved its prognostic performance for mortality in PD patients (P=0.002). CRP was an independent predictor of both outcomes in PD patients only. Only CRP in the highest quintile (>16.8 mg/L) was associated with increased risk. hs-cTnT remained relatively stable for the whole follow-up period for hemodialysis patients, whereas for PD patients, hs-cTnT increased by 23.63% in year 2 and 29.13% in year 3 compared with baseline (P<0.001).
Conclusions:
hs-cTnT and CRP are useful tools in predicting mortality and major adverse cardiovascular events in hemodialysis and PD patients. Given that hs-cTnT levels increase over time in PD patients, interval monitoring may be valuable for risk assessment. In contrast, hs-cTnT in hemodialysis patients has little interval change and progress monitoring is not indicated.
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