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C-reactive protein and prediction of 1-year mortality in prevalent hemodialysis patients
Jonathan Bazeley1, Brian Bieber, Yun Li
1Arbor Research Collaborative for Health, Ann Arbor, Michigan, USA.
Insights
Measuring C-reactive protein (CRP) improves mortality prediction in hemodialysis patients. This inflammatory biomarker offers valuable insights when assessed alongside other common markers for better patient outcomes.
Area of Science:
- Nephrology
- Clinical Chemistry
- Epidemiology
Background:
- C-reactive protein (CRP) measurement is routine in many countries but uncommon in North America.
- Inflammatory biomarkers play a role in patient health outcomes.
Purpose of the Study:
- To evaluate the predictive value of C-reactive protein (CRP) for mortality in hemodialysis patients.
- To compare CRP's predictive performance with other inflammatory biomarkers.
Main Methods:
- Analysis of data from 5061 prevalent hemodialysis patients across 140 facilities in 10 countries (2005-2008).
- Cox and logistic regression models were used to assess the association of CRP with mortality and predict 1-year mortality.
- Model performance was evaluated using c-statistics, net reclassification improvement (NRI), and generalized R(2).
Main Results:
- Median baseline CRP levels varied significantly by country, being lower in Japan (1.0 mg/L) than other nations (6.0 mg/L).
- CRP showed a positive, monotonic association with mortality, with no identified threshold for risk leveling.
- CRP performance in mortality prediction models was comparable to albumin and superior to ferritin and white blood cell (WBC) count, indicated by higher NRI (12.8% for CRP vs. 10.3% for albumin).
Conclusions:
- Measuring CRP in addition to standard inflammatory biomarkers significantly enhances mortality prediction in hemodialysis patients.
- Further research is needed to explore interventions that reduce CRP levels and improve clinical outcomes.
Background And Objectives:
Measurement of C-reactive protein (CRP) levels remains uncommon in North America, although it is now routine in many countries. Using Dialysis Outcomes and Practice Patterns Study data, our primary aim was to evaluate the value of CRP for predicting mortality when measured along with other common inflammatory biomarkers.
Design, Setting, Participants, & Measurements:
We studied 5061 prevalent hemodialysis patients from 2005 to 2008 in 140 facilities routinely measuring CRP in 10 countries. The association of CRP with mortality was evaluated using Cox regression. Prediction of 1-year mortality was assessed in logistic regression models with differing adjustment variables.
Results:
Median baseline CRP was lower in Japan (1.0 mg/L) than other countries (6.0 mg/L). CRP was positively, monotonically associated with mortality. No threshold below which mortality rate leveled off was identified. In prediction models, CRP performance was comparable with albumin and exceeded ferritin and white blood cell (WBC) count based on measures of model discrimination (c-statistics, net reclassification improvement [NRI]) and global model fit (generalized R(2)). The primary analysis included age, gender, diabetes, catheter use, and the four inflammatory markers (omitting one at a time). Specifying NRI ≥5% as appropriate reclassification of predicted mortality risk, NRI for CRP was 12.8% compared with 10.3% for albumin, 0.8% for ferritin, and <0.1% for WBC.
Conclusions:
These findings demonstrate the value of measuring CRP in addition to standard inflammatory biomarkers to improve mortality prediction in hemodialysis patients. Future studies are indicated to identify interventions that lower CRP and to identify whether they improve clinical outcomes.
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