TY - JOUR
T1 - Which leukocyte subsets predict cardiovascular mortality? From the LUdwigshafen RIsk and Cardiovascular Health (LURIC) Study
AU - ó Hartaigh, Bríain
AU - Bosch, Jos A.
AU - Thomas, G. Neil
AU - Lord, Janet M.
AU - Pilz, Stefan
AU - Loerbroks, Adrian
AU - Kleber, Marcus E.
AU - Grammer, Tanja B.
AU - Fischer, Joachim E.
AU - Boehm, Bernhard O.
AU - März, Winfried
N1 - Funding Information:
We thank the LURIC study team either temporarily or permanently involved in patient recruitment and sample and data handling; the laboratory staff at the Ludwigshafen General Hospital and the Universities of Freiburg, Ulm, and Graz; and the German registration offices and local public health departments for their assistance. LURIC has received funding through the 6th Framework Program (integrated project Bloodomics, grant LSHM-CT-2004-503485 ) and the 7th Framework Program (integrated project Atheroremo, grant agreement number 201668 ) of the European Union. BóH is funded by a BBSRC grant studentship to GNT and JB. All of the authors contributed to the manuscript consistent with the authorship criteria set by the journal, including significant input in conception, design, and acquisition of data (WM, BB), analyses and interpretation of data (BóH, GNT, JB, AL, SP, WM), drafting and critical revision of manuscript (all). WM and BB had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
PY - 2012/9
Y1 - 2012/9
N2 - Objective: White blood cells are known to predict cardiovascular mortality, but form a highly heterogeneous population. It is therefore possible that specific subtypes disproportionally contribute to the prediction of cardiovascular outcomes. Therefore, we compared leukocyte subsets alone and in conjunction with an established inflammatory marker, C-reactive protein, for predicting death due to cardiovascular disease in a high-risk population. Methods: Patients, 3316, (mean [SD] age, 62 [10] years) scheduled for coronary angiography were prospectively followed up. Neutrophil, monocyte and lymphocyte counts were determined. Neutrophil and monocyte subsets were further analysed on the basis of surface expression of CD11b, CD18, CD31, CD40 and CD58. Lymphocytes were further subdivided into CD3, CD4, CD8, and CD19 subsets. The association between each marker and subsequent cardiovascular mortality was assessed using multivariable Cox regression models. Results: During a median follow-up period of 7.8 years, 745 (22.5%) patients died, of which 484 were due to cardiovascular events. After entering conventional risk factors and removing patients with a current infection, neutrophil count (HR [95% CI] = 1.90 [1.39, 2.60], P< 0.001) and the neutrophil/lymphocyte ratio (HR [95% CI] = 1.68 [1.24, 2.27], P= 0.003) emerged as independent predictors of cardiovascular mortality. After mutual adjustment, neutrophil count (HR [95% CI] = 1.87 [1.35, 2.50], P< 0.001) out-performed C-reactive protein (HR [95% CI] 1.32 [0.99, 1.78], P= 0.06) as a predictor of cardiovascular mortality. Conclusions: Due to its predictive potential and inexpensive determination, assessment of high neutrophil counts may represent an important marker, possibly improving cardiovascular mortality risk prediction.
AB - Objective: White blood cells are known to predict cardiovascular mortality, but form a highly heterogeneous population. It is therefore possible that specific subtypes disproportionally contribute to the prediction of cardiovascular outcomes. Therefore, we compared leukocyte subsets alone and in conjunction with an established inflammatory marker, C-reactive protein, for predicting death due to cardiovascular disease in a high-risk population. Methods: Patients, 3316, (mean [SD] age, 62 [10] years) scheduled for coronary angiography were prospectively followed up. Neutrophil, monocyte and lymphocyte counts were determined. Neutrophil and monocyte subsets were further analysed on the basis of surface expression of CD11b, CD18, CD31, CD40 and CD58. Lymphocytes were further subdivided into CD3, CD4, CD8, and CD19 subsets. The association between each marker and subsequent cardiovascular mortality was assessed using multivariable Cox regression models. Results: During a median follow-up period of 7.8 years, 745 (22.5%) patients died, of which 484 were due to cardiovascular events. After entering conventional risk factors and removing patients with a current infection, neutrophil count (HR [95% CI] = 1.90 [1.39, 2.60], P< 0.001) and the neutrophil/lymphocyte ratio (HR [95% CI] = 1.68 [1.24, 2.27], P= 0.003) emerged as independent predictors of cardiovascular mortality. After mutual adjustment, neutrophil count (HR [95% CI] = 1.87 [1.35, 2.50], P< 0.001) out-performed C-reactive protein (HR [95% CI] 1.32 [0.99, 1.78], P= 0.06) as a predictor of cardiovascular mortality. Conclusions: Due to its predictive potential and inexpensive determination, assessment of high neutrophil counts may represent an important marker, possibly improving cardiovascular mortality risk prediction.
KW - C-reactive protein
KW - Cardiovascular disease
KW - Neutrophil
KW - White blood cell
UR - https://www.scopus.com/pages/publications/84865372395
U2 - 10.1016/j.atherosclerosis.2012.04.012
DO - 10.1016/j.atherosclerosis.2012.04.012
M3 - Article
C2 - 22809446
SN - 0021-9150
VL - 224
SP - 161
EP - 169
JO - Atherosclerosis
JF - Atherosclerosis
IS - 1
ER -