Circulating progenitor cell count for cardiovascular risk stratification: a pooled analysis
Gian Paolo Fadini1, Shoichi Maruyama, Takenori Ozaki
1Department of Clinical and Experimental Medicine, University of Padova Medical School, Padova, Italy. gianpaolofadini@hotmail.com
Insights
Reduced circulating progenitor cells (CPC) identify high-risk cardiovascular patients. Combining CPC count with high-sensitivity C-reactive protein (hsCRP) improves cardiovascular risk prediction, especially for major adverse cardiovascular events (MACE).
Area of Science:
- Cardiovascular Research
- Vascular Biology
- Biomarker Discovery
Background:
- Circulating progenitor cells (CPC) are vital for blood vessel health.
- Low CPC counts are linked to increased cardiovascular disease risk.
- The role of CPC in cardiovascular risk stratification, especially with inflammation, requires further investigation.
Purpose of the Study:
- To evaluate if CPC count enhances cardiovascular risk stratification.
- To determine if low-grade inflammation, measured by hsCRP, modulates the predictive value of CPC.
- To assess the combined predictive power of CPC and hsCRP for major adverse cardiovascular events (MACE).
Main Methods:
- Pooled data from 4 longitudinal studies (1,057 patients).
- Assessed CPC counts, hsCRP levels, and cardiovascular risk factors.
- Utilized Cox proportional hazard analyses to evaluate MACE prediction models.
Main Results:
- CPC count independently predicted MACE, even after adjusting for hsCRP.
- Models including CPC showed improved discrimination (IDI) and reclassification (NRI) of MACE risk.
- A significant interaction was observed: low CPC combined with high hsCRP markedly increased MACE risk.
Conclusions:
- Reduced CPC count identifies high-risk individuals for short-term MACE.
- The combination of low CPC and elevated hsCRP offers superior cardiovascular risk prediction.
- CPC count serves as a valuable biomarker for cardiovascular risk stratification in high-risk populations.
Background:
Circulating progenitor cells (CPC) contribute to the homeostasis of the vessel wall, and a reduced CPC count predicts cardiovascular morbidity and mortality. We tested the hypothesis that CPC count improves cardiovascular risk stratification and that this is modulated by low-grade inflammation.
Methodology/Principal Findings:
We pooled data from 4 longitudinal studies, including a total of 1,057 patients having CPC determined and major adverse cardiovascular events (MACE) collected. We recorded cardiovascular risk factors and high-sensitive C-reactive protein (hsCRP) level. Risk estimates were derived from Cox proportional hazard analyses. CPC count and/or hsCRP level were added to a reference model including age, sex, cardiovascular risk factors, prevalent CVD, chronic renal failure (CRF) and medications. The sample was composed of high-risk individuals, as 76.3% had prevalent CVD and 31.6% had CRF. There were 331 (31.3%) incident MACE during an average 1.7+/-1.1 year follow-up time. CPC count was independently associated with incident MACE even after correction for hsCRP. According to C-statistics, models including CPC yielded a non-significant improvement in accuracy of MACE prediction. However, the integrated discrimination improvement index (IDI) showed better performance of models including CPC compared to the reference model and models including hsCRP in identifying MACE. CPC count also yielded significant net reclassification improvements (NRI) for CV death, non-fatal AMI and other CV events. The effect of CPC was independent of hsCRP, but there was a significant more-than-additive interaction between low CPC count and raised hsCRP level in predicting incident MACE.
Conclusions/Significance:
In high risk individuals, a reduced CPC count helps identifying more patients at higher risk of MACE over the short term, especially in combination with a raised hsCRP level.
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