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Cystatin C predicts long term mortality better than creatinine in a nationwide study of intensive care patients
Johanna Helmersson-Karlqvist1, Miklos Lipcsey2, Johan Ärnlöv3,4
1Department of Medical Sciences/Clinical Chemistry, Uppsala University, 751 85, Uppsala, Sweden. johanna.helmersson_karlqvist@medsci.uu.se.
Insights
For critically ill patients, cystatin C estimated glomerular filtration rate (eGFR) better predicts long-term mortality risk than creatinine-based eGFR. Cystatin C equations improve risk prediction accuracy.
Area of Science:
- Nephrology
- Critical Care Medicine
- Epidemiology
Background:
- Decreased glomerular filtration rate (GFR) is associated with poor survival outcomes.
- The predictive capabilities of creatinine-based versus cystatin C-based estimated GFR (eGFR) in critically ill populations remain understudied.
- Accurate GFR assessment is crucial for risk stratification in intensive care settings.
Purpose of the Study:
- To compare the long-term mortality risk prediction of different eGFR equations in critically ill patients.
- To evaluate the performance of creatinine-based (CKD-EPI), cystatin C-based (CAPA), and combined equations for eGFR.
- To determine if cystatin C-based eGFR offers superior prognostic value over creatinine-based eGFR in this cohort.
Main Methods:
- Analysis of 22,488 critically ill patients admitted to Swedish University Hospitals between 2004 and 2015.
- Measurement of both serum creatinine and cystatin C from the same blood sample at admission.
- Utilized Cox regression models to assess the association between eGFR and long-term mortality over a median follow-up of 5.1 years.
Main Results:
- Reduced eGFR by all assessed equations was significantly linked to increased mortality.
- Patients reclassified to a lower GFR category by cystatin C-based equations exhibited significantly higher mortality risk compared to those not reclassified.
- The cystatin C equation demonstrated superior predictive performance, significantly increasing C-statistics for mortality prediction compared to creatinine and combined equations.
Conclusions:
- The sole use of cystatin C-based equations for estimating GFR provides superior risk prediction for long-term mortality in critically ill patients.
- Cystatin C-based eGFR offers enhanced prognostic accuracy compared to creatinine-based or combined equations in this patient population.
- Routine implementation of cystatin C-based eGFR may improve risk stratification and clinical decision-making for critically ill patients.
Abstract:
Decreased glomerular filtration rate (GFR) is linked to poor survival. The predictive value of creatinine estimated GFR (eGFR) and cystatin C eGFR in critically ill patients may differ substantially, but has been less studied. This study compares long-term mortality risk prediction by eGFR using a creatinine equation (CKD-EPI), a cystatin C equation (CAPA) and a combined creatinine/cystatin C equation (CKD-EPI), in 22,488 patients treated in intensive care at three University Hospitals in Sweden, between 2004 and 2015. Patients were analysed for both creatinine and cystatin C on the same blood sample tube at admission, using accredited laboratory methods. During follow-up (median 5.1 years) 8401 (37%) patients died. Reduced eGFR was significantly associated with death by all eGFR-equations in Cox regression models. However, patients reclassified to a lower GFR-category by using the cystatin C-based equation, as compared to the creatinine-based equation, had significantly higher mortality risk compared to the referent patients not reclassified. The cystatin C equation increased C-statistics for death prediction (p < 0.001 vs. creatinine, p = 0.013 vs. combined equation). In conclusion, this data favours the sole cystatin C equation rather than the creatinine or combined equations when estimating GFR for risk prediction purposes in critically ill patients.
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