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Published on: January 16, 2019
Addition of cystatin C predicts cardiovascular death better than creatinine in intensive care
Johanna Helmersson-Karlqvist1, Miklos Lipcsey2, Johan Ärnlöv3,4
1Department of Medical Sciences/Clinical Chemistry, Uppsala University, Uppsala, Sweden johanna.helmersson_karlqvist@medsci.uu.se.
Insights
Cystatin C measurement in critically ill patients improves cardiovascular death risk prediction compared to creatinine alone. This biomarker enhances estimated glomerular filtration rate (eGFR) assessment for better patient outcomes.
Area of Science:
- Nephrology
- Cardiology
- Critical Care Medicine
Background:
- Decreased kidney function, indicated by estimated glomerular filtration rate (eGFR), is a known risk factor for cardiovascular mortality.
- Creatinine-based eGFR equations may lack accuracy in critically ill patients.
Purpose of the Study:
- To compare the accuracy of different eGFR equations in predicting long-term cardiovascular mortality in intensive care unit (ICU) patients.
- To evaluate the added value of cystatin C in combination with creatinine for risk stratification.
Main Methods:
- An observational study of 22,488 ICU patients in Sweden (2004-2015).
- Analysis of creatinine and cystatin C levels at ICU admission.
- Comparison of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine, Caucasian, Asian, paediatric and adult cohort (CAPA) cystatin C, and CKD-EPI combined equations using reclassification and C-statistics.
Main Results:
- Reduced eGFR associated with cardiovascular death across all equations.
- Patients reclassified to a lower GFR category by cystatin C had significantly higher cardiovascular mortality risk (adjusted HRs ranging from 1.44 to 1.76).
- Cystatin C-based equations (alone or combined) demonstrated significantly higher predictive accuracy (C-statistic 0.73) than creatinine alone (0.71, p<0.001).
Conclusions:
- A single cystatin C measurement at ICU admission significantly improves cardiovascular death risk prediction beyond creatinine.
- Cystatin C, alone or combined with creatinine, is recommended for eGFR estimation in critically ill patients for enhanced long-term risk prediction.
Objective:
Decreased 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.
Methods:
The 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.
Results:
During 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.
Conclusions:
A 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.
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