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Observational Study
. 2017 Apr 3;12(4):603-613.
doi: 10.2215/CJN.09710916. Epub 2017 Mar 27.

Association between Monocyte Count and Risk of Incident CKD and Progression to ESRD

Affiliations
Observational Study

Association between Monocyte Count and Risk of Incident CKD and Progression to ESRD

Benjamin Bowe et al. Clin J Am Soc Nephrol. .

Abstract

Background and objectives: Experimental evidence suggests a role for monocytes in the biology of kidney disease progression; however, whether monocyte count is associated with risk of incident CKD, CKD progression, and ESRD has not been examined in large epidemiologic studies.

Design, settings, participants, & measurements: We built a longitudinal observational cohort of 1,594,700 United States veterans with at least one eGFR during fiscal year 2004 (date of last eGFR during this period designated time zero) and no prior history of ESRD, dialysis, or kidney transplant. Cohort participants were followed until September 30, 2013 or death. Monocyte count closest to and before time zero was categorized in quartiles: quartile 1, >0.00 to ≤0.40 thousand cells per cubic millimeter (k/cmm); quartile 2, >0.40 to ≤0.55 k/cmm; quartile 3, >0.55 to ≤0.70 k/cmm; and quartile 4, >0.70 k/cmm. Survival models were built to examine the association between monocyte count and risk of incident eGFR<60 ml/min per 1.73 m2, risk of incident CKD, and risk of CKD progression defined as doubling of serum creatinine, eGFR decline ≥30%, or the composite outcome of ESRD, dialysis, or renal transplantation.

Results: Over a median follow-up of 9.2 years (interquartile range, 8.3-9.4); in adjusted survival models, there was a graded association between monocyte counts and risk of renal outcomes. Compared with quartile 1, quartile 4 was associated with higher risk of incident eGFR<60 ml/min per 1.73 m2 (hazard ratio, 1.13; 95% confidence interval, 1.12 to 1.14) and risk of incident CKD (hazard ratio, 1.15; 95% confidence interval, 1.13 to 1.16). Quartile 4 was associated with higher risk of doubling of serum creatinine (hazard ratio, 1.22; 95% confidence interval, 1.20 to 1.24), ≥30% eGFR decline (hazard ratio, 1.18; 95% confidence interval, 1.17 to 1.19), and the composite renal end point (hazard ratio, 1.19; 95% confidence interval, 1.16 to 1.22). Cubic spline analyses of the relationship between monocyte count levels and renal outcomes showed a linear relationship, in which risk was higher with higher monocyte count. Results were robust to changes in sensitivity analyses.

Conclusions: Our results show a significant association between higher monocyte count and risks of incident CKD and CKD progression to ESRD.

Keywords: Disease Progression; ESRD; Epidemiologic Studies; Epidemiology and outcomes; Follow-Up Studies; Kidney Failure, Chronic; Monocytes; Renal Insufficiency, Chronic; United States; Veterans; chemokine; chemokine receptor; chronic kidney disease; clinical epidemiology; creatinine; eGFR decline; eGFR slope; end stage kidney disease; kidney; kidney transplantation; renal dialysis; renal function decline; renal progression; white blood cell.

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Figures

Figure 1.
Figure 1.
Cohort assembly. (A) Diagram of participant flow. (B) Timeline for cohort selection. T0, time zero.
Figure 2.
Figure 2.
Kaplan–Meier curves representing the survival probability of renal outcomes by monocyte quartiles. (A) eGFR<60 ml/min per 1.73 m2. (B) Chronic Kidney Disease. (C) Doubling of serum creatinine. (D) >=30% decline in eGFR. (E) ESRD, dialysis, or transplant. Inset represents the same Kaplan-Meier curves on a narrower y-axis scale.
Figure 3.
Figure 3.
Cubic spline analyses of risk of renal outcomes by monocyte count (median monocyte count as reference) in red, with monocyte count probability distribution in gray; blue lines represent 95% confidence intervals of the spline. (A) Risk of eGFR<60 ml/min per 1.73 m2. (B) Risk of Chronic Kidney Disease. (C) Risk of doubling of serum creatinine. (D) Risk of ≥30% decline in eGFR. (E) Risk of ESRD, dialysis, or transplant.

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References

    1. Ghattas A, Griffiths HR, Devitt A, Lip GY, Shantsila E: Monocytes in coronary artery disease and atherosclerosis: Where are we now? J Am Coll Cardiol 62: 1541–1551, 2013 - PubMed
    1. Swaminathan S, Shah SV: Novel inflammatory mechanisms of accelerated atherosclerosis in kidney disease. Kidney Int 80: 453–463, 2011 - PubMed
    1. Adamsson Eryd S, Smith JG, Melander O, Hedblad B, Engström G: Incidence of coronary events and case fatality rate in relation to blood lymphocyte and neutrophil counts. Arterioscler Thromb Vasc Biol 32: 533–539, 2012 - PubMed
    1. Johnsen SH, Fosse E, Joakimsen O, Mathiesen EB, Stensland-Bugge E, Njølstad I, Arnesen E: Monocyte count is a predictor of novel plaque formation: A 7-year follow-up study of 2610 persons without carotid plaque at baseline the Tromsø Study. Stroke 36: 715–719, 2005 - PubMed
    1. Nasir K, Guallar E, Navas-Acien A, Criqui MH, Lima JA: Relationship of monocyte count and peripheral arterial disease: Results from the National Health and Nutrition Examination Survey 1999-2002. Arterioscler Thromb Vasc Biol 25: 1966–1971, 2005 - PubMed

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