Abstract
Current evidence about the effects of inflammation on the outcomes of patients with advanced chronic kidney disease (CKD) generally originates from single measurements of inflammatory biomarkers. Patients with CKD, however, are exposed to persistent low-grade inflammation and levels of serum inflammatory markers are subjected to a substantial variability over time, being influenced by multiple processes, such as transient infections, comorbidities, and the intermittent stimulus of dialysis. Understanding and evaluating inflammation in the context of its time-dependent oscillations in renal disease fluctuation is, therefore, important. Nevertheless, the relationship between longitudinal inflammatory variation and risk prediction has so far been addressed in only a few studies, not all of which have been sufficiently powered. Consequently, uncertainty exists about how to interpret the findings of these studies in the clinical setting. The purpose of this Review is to explore the reasons and implications of variability in levels of inflammatory biomarkers in patients with uremia, specifically focusing on C-reactive protein (CRP) measurements. We also discuss the value of repeated versus single measurements of inflammation in the clinical setting and provide solutions to reduce both sample size and intraindividual variability in hypothetical, randomized controlled trials aimed at reducing CRP levels in patients undergoing hemodialysis.
Key Points
-
In patients with end-stage renal disease, inflammatory markers are subject to substantial variability over time, and are influenced by transient infections, comorbidities, and the intermittent stimulus of dialysis
-
Insufficient evidence exists about the implications of regular C-reactive protein (CRP) screening in patients undergoing dialysis; multiple measures of CRP seem to offer predictive advantages with single determinations
-
Regular CRP screening could identify short-term variation in levels of inflammatory markers associated with mortality, which could facilitate risk stratification of patients with chronic kidney disease
-
Regular CRP screening for individual patients could enable extensive exploration of underlying causes of inflammation and the assignment of appropriate treatment
-
When designing a randomized controlled trial to lower CRP level in patients on hemodialysis, sample size and intrapatient variability can be reduced by estimating inflammation at each time point with averaged measurements for each individual
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Foley, R. N. et al. Chronic kidney disease and the risk for cardiovascular disease, renal replacement, and death in the United States Medicare population, 1998 to 1999. J. Am. Soc. Nephrol. 16, 489–495 (2005).
Vanholder, R. et al. Chronic kidney disease as cause of cardiovascular morbidity and mortality. Nephrol. Dial. Transplant. 20, 1048–1056 (2005).
de Jager, D. J. et al. Cardiovascular and noncardiovascular mortality among patients starting dialysis. JAMA 302, 1782–1789 (2009).
Stenvinkel, P. et al. Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int. 55, 1899–1911 (1999).
Shlipak, M. G. et al. Cardiovascular mortality risk in chronic kidney disease: comparison of traditional and novel risk factors. JAMA 293, 1737–1745 (2005).
Kimmel, P. L. et al. Immunologic function and survival in hemodialysis patients. Kidney Int. 54, 236–244 (1998).
Korevaar, J. C. et al. Effect of an increase in C-reactive protein level during a hemodialysis session on mortality. J. Am. Soc. Nephrol. 15, 2916–2922 (2004).
Memoli, B. Cytokine production in hemodialysis. Blood Purif. 17, 149–158 (1999).
Luger, A., Kovarik, J., Stummvoll, H. K., Urbanska, A. & Luger, T. A. Blood-membrane interaction in hemodialysis leads to increased cytokine production. Kidney Int. 32, 84–88 (1987).
Szeto, C. C. et al. Endotoxemia is related to systemic inflammation and atherosclerosis in peritoneal dialysis patients. Clin. J. Am. Soc. Nephrol. 3, 431–436 (2008).
Carrero, J. J., Yilmaz, M. I., Lindholm, B. & Stenvinkel, P. Cytokine dysregulation in chronic kidney disease: how can we treat it? Blood Purif. 26, 291–299 (2008).
Iseki, K., Tozawa, M., Yoshi, S. & Fukiyama, K. Serum C-reactive protein (CRP) and risk of death in chronic dialysis patients. Nephrol. Dial. Transplant. 14, 1956–1960 (1999).
Wanner, C. & Metzger, T. C-reactive protein a marker for all-cause and cardiovascular mortality in hemodialysis patients. Nephrol. Dial. Transplant. 17 (Suppl. 8), 29–32 (2002).
Pecoits-Filho, R., Barany, P., Lindholm, B., Heimburger, O. & Stenvinkel, P. Interleukin-6 is an independent predictor of mortality in patients starting dialysis treatment. Nephrol. Dial. Transplant. 17, 1684–1688 (2002).
Panichi, V. et al. Chronic inflammation and mortality in hemodialysis: effect of different renal replacement therapies. Results from the RISCAVID study. Nephrol. Dial. Transplant. 23, 2337–2343 (2008).
Kawaguchi, T. et al. C-reactive protein and mortality in hemodialysis patients: the dialysis outcomes and practice patterns study (DOPPS). Nephron Clin. Pract. 117, c167–c178 (2010).
Yilmaz, M. I., Carrero, J. J., Axelsson, J., Lindholm, B. & Stenvinkel, P. Low-grade inflammation in chronic kidney disease patients before the start of renal replacement therapy: sources and consequences. Clin. Nephrol. 68, 1–9 (2007).
Snaedal, S. et al. Comorbidity and acute clinical events as determinants of C-reactive protein variation in hemodialysis patients: implications for patient survival. Am. J. Kidney Dis. 53, 1024–1033 (2009).
Koj, A. Initiation of acute phase response and synthesis of cytokines. Biochim. Biophys. Acta 1317, 84–94 (1996).
Baigrie, R. J., Lamont, P. M., Kwiatkowski, D., Dallman, M. J. & Morris, P. J. Systemic cytokine response after major surgery. Br. J. Surg. 79, 757–760 (1992).
Hatada, T. & Miki, C. Nutritional status and postoperative cytokine response in colorectal cancer patients. Cytokine 12, 1331–1336 (2000).
Peri, G. et al. PTX3, A prototypical long pentraxin, is an early indicator of acute myocardial infarction in humans. Circulation 102, 636–641 (2000).
De Beer, F. C. et al. Measurement of serum C-reactive protein concentration in myocardial ischaemia and infarction. Br. Heart J. 47, 239–243 (1982).
Pepys, M. B. & Hirschfield, G. M. C-reactive protein, a critical update. J. Clin. Invest. 111, 1805–1812 (2003).
Vigushin, D. M., Pepys, M. B. & Hawkins, P. N. Metabolic and scintigraphic studies of radioiodinated human C-reactive protein in health and disease. J. Clin. Invest. 91, 1351–1357 (1993).
Zacho, J. et al. Genetically elevated C-reactive protein and ischemic vascular disease. N. Engl. J. Med. 359, 1897–1908 (2008).
Zhang, L. et al. C-reactive protein haplotype predicts serum C-reactive protein levels but not cardiovascular disease risk in a dialysis cohort. Am. J. Kidney Dis. 49, 118–126 (2007).
Lee, S. A. et al. Intra-individual variation of plasma adipokine levels and utility of single measurement of these biomarkers in population-based studies. Cancer Epidemiol. Biomarkers Prev. 16, 2464–2470 (2007).
Macy, E. M., Hayes, T. E. & Tracy, R. P. Variability in the measurement of C-reactive protein in healthy subjects: implications for reference intervals and epidemiological applications. Clin. Chem. 43, 52–58 (1997).
Ockene, I. S. et al. Variability and classification accuracy of serial high-sensitivity C-reactive protein measurements in healthy adults. Clin. Chem. 47, 444–450 (2001).
Bogaty, P. et al. Fluctuating inflammatory markers in patients with stable ischemic heart disease. Arch. Intern. Med. 165, 221–226 (2005).
Danesh, J. et al. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N. Engl. J. Med. 350, 1387–1397 (2004).
Koenig, W. et al. Refinement of the association of serum C-reactive protein concentration and coronary heart disease risk by correction for within-subject variation over time: the MONICA Augsburg studies, 1984 and 1987. Am. J. Epidemiol. 158, 357–364 (2003).
Vozarova, B. et al. Circulating interleukin-6 in relation to adiposity, insulin action, and insulin secretion. Obes. Res. 9, 414–417 (2001).
Koenig, W. et al. C-reactive protein, a sensitive marker of inflammation, predicts future risk of coronary heart disease in initially healthy middle-aged men: results from the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Augsburg Cohort Study, 1984 to 1992. Circulation 99, 237–242 (1999).
Fox, E. R. et al. Epidemiology, heritability, and genetic linkage of C-reactive protein in African Americans (from the Jackson Heart Study). Am. J. Cardiol. 102, 835–841 (2008).
Khera, A. et al. Race and gender differences in C-reactive protein levels. J. Am. Coll. Cardiol. 46, 464–469 (2005).
Nasermoaddeli, A., Sekine, M. & Kagamimori, S. Intra-individual variability of high-sensitivity C-reactive protein: age-related variations over time in Japanese subjects. Circ. J. 70, 559–563 (2006).
Carrero, J. J. Gender differences in chronic kidney disease: underpinnings and therapeutic implications. Kidney Blood Press. Res. 33, 383–392 (2010).
Picotte, M., Campbell, C. G. & Thorland, W. G. Day-to-day variation in plasma interleukin-6 concentrations in older adults. Cytokine 47, 162–165 (2009).
van Tellingen, A. et al. Intercurrent clinical events are predictive of plasma C-reactive protein levels in hemodialysis patients. Kidney Int. 62, 632–638 (2002).
Kaysen, G. A., Dubin, J. A., Muller, H. G., Rosales, L. M. & Levin, N. W. The acute-phase response varies with time and predicts serum albumin levels in hemodialysis patients. The HEMO Study Group. Kidney Int. 58, 346–352 (2000).
Tsirpanlis, G. et al. Exploring inflammation in hemodialysis patients: persistent and superimposed inflammation. A longitudinal study. Kidney Blood Press. Res. 27, 63–70 (2004).
Tsirpanlis, G. et al. The variability and accurate assessment of microinflammation in hemodialysis patients. Nephrol. Dial. Transplant. 19, 150–157 (2004).
Landray, M. J. et al. Inflammation, endothelial dysfunction, and platelet activation in patients with chronic kidney disease: the chronic renal impairment in Birmingham (CRIB) study. Am. J. Kidney Dis. 43, 244–253 (2004).
Miyata, T. et al. Implication of an increased oxidative stress in the formation of advanced glycation end products in patients with end-stage renal failure. Kidney Int. 51, 1170–1181 (1997).
Panichi, V. et al. C-reactive protein in patients on chronic hemodialysis with different techniques and different membranes. Biomed. Pharmacother. 60, 14–17 (2006).
Stigant, C. E., Djurdjev, O. & Levin, A. C-reactive protein levels in patients on maintenance hemodialysis: reliability and reflection on the utility of single measurements. Int. Urol. Nephrol. 37, 133–140 (2005).
Ortega, O. et al. Strict volume control and longitudinal changes in cardiac biomarker levels in hemodialysis patients. Nephron Clin. Pract. 113, c96–c103 (2009).
Shafi, T. et al. Association of residual urine output with mortality, quality of life, and inflammation in incident hemodialysis patients: the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) Study. Am. J. Kidney Dis. 56, 348–358 (2010).
Kolz, M. et al. DNA variants, plasma levels and variability of C-reactive protein in myocardial infarction survivors: results from the AIRGENE study. Eur. Heart J. 29, 1250–1258 (2008).
Bennermo, M. et al. Genetic predisposition of the interleukin-6 response to inflammation: implications for a variety of major diseases? Clin. Chem. 50, 2136–2140 (2004).
Girndt, M. et al. Anti-inflammatory interleukin-10 genotype protects dialysis patients from cardiovascular events. Kidney Int. 62, 949–955 (2002).
Menon, V. et al. C-reactive protein and albumin as predictors of all-cause and cardiovascular mortality in chronic kidney disease. Kidney Int. 68, 766–772 (2005).
Ortega, O. et al. Significance of high C-reactive protein levels in pre-dialysis patients. Nephrol. Dial. Transplant. 17, 1105–1109 (2002).
Panichi, V. et al. Interleukin-6 is a stronger predictor of total and cardiovascular mortality than C-reactive protein in hemodialysis patients. Nephrol. Dial. Transplant. 19, 1154–1160 (2004).
Wanner, C., Zimmermann, J., Schwedler, S. & Metzger, T. Inflammation and cardiovascular risk in dialysis patients. Kidney Int. 61, S99–S102 (2002).
Park, C. W. et al. Increased C-reactive protein following hemodialysis predicts cardiac hypertrophy in chronic hemodialysis patients. Am. J. Kidney Dis. 40, 1230–1239 (2002).
Tarakcioglu, M., Erbagci, A. B., Usalan, C., Deveci, R. & Kocabas, R. Acute effect of hemodialysis on serum levels of the proinflammatory cytokines. Mediators Inflamm. 12, 15–19 (2003).
Boehme, M. et al. Pentraxin 3 is elevated in hemodialysis patients and is associated with cardiovascular disease. Nephrol. Dial. Transplant. 22, 2224–2229 (2007).
Hasuike, Y. et al. Interleukin-6 is a predictor of mortality in stable hemodialysis patients. Am. J. Nephrol. 30, 389–398 (2009).
Kimmel, P. L. et al. Immunologic function and survival in hemodialysis patients. Kidney Int. 54, 236–244 (1998).
Kato, A., Takita, T., Furuhashi, M., Maruyama, Y. & Hishida, A. Comparison of serum albumin, C-reactive protein and carotid atherosclerosis as predictors of 10-year mortality in hemodialysis patients. Hemodial. Int. 14, 226–232 (2010).
Zoccali, C., Tripepi, G. & Mallamaci, F. Dissecting inflammation in ESRD: do cytokines and C-reactive protein have a complementary prognostic value for mortality in dialysis patients? J. Am. Soc. Nephrol. 17 (12 Suppl. 3), S169–S173 (2006).
Han, S. H. et al. Elevated cardiac troponin T predicts cardiovascular events in asymptomatic continuous ambulatory peritoneal dialysis patients without a history of cardiovascular disease. Am. J. Nephrol. 29, 129–135 (2009).
Herzig, K. A. et al. Is C-reactive protein a useful predictor of outcome in peritoneal dialysis patients? J. Am. Soc. Nephrol. 12, 814–821 (2001).
Wang, A. Y. et al. Inflammation, residual kidney function, and cardiac hypertrophy are interrelated and combine adversely to enhance mortality and cardiovascular death risk of peritoneal dialysis patients. J. Am. Soc. Nephrol. 15, 2186–2194 (2004).
Ikizler, T. A., Wingard, R. L., Harvell, J., Shyr, Y. & Hakim, R. M. Association of morbidity with markers of nutrition and inflammation in chronic hemodialysis patients: a prospective study. Kidney Int. 55, 1945–1951 (1999).
Tripepi, G., Mallamaci, F. & Zoccali, C. Inflammation markers, adhesion molecules, and all-cause and cardiovascular mortality in patients with ESRD: searching for the best risk marker by multivariate modeling. J. Am. Soc. Nephrol. 16 (Suppl. 1), S83–S88 (2005).
Honda, H. et al. Serum albumin, C-reactive protein, interleukin 6, and fetuin a as predictors of malnutrition, cardiovascular disease, and mortality in patients with ESRD. Am. J. Kidney Dis. 47, 139–148 (2006).
Pereira, B. J. et al. Plasma levels of IL-1 beta, TNF alpha and their specific inhibitors in undialyzed chronic renal failure, CAPD and hemodialysis patients. Kidney Int. 45, 890–896 (1994).
Herbelin, A., Nguyen, A. T., Zingraff, J., Urena, P. & Descamps-Latscha, B. Influence of uremia and hemodialysis on circulating interleukin-1 and tumor necrosis factor alpha. Kidney Int. 37, 116–125 (1990).
Ridker, P. M. et al. Measurement of C-reactive protein for the targeting of statin therapy in the primary prevention of acute coronary events. N. Engl. J. Med. 344, 1959–1965 (2001).
Nascimento, M. M. et al. The prognostic impact of fluctuating levels of C-reactive protein in Brazilian hemodialysis patients: a prospective study. Nephrol. Dial. Transplant. 19, 2803–2809 (2004).
Dekker, F. W., de Mutsert, R., van Dijk, P. C., Zoccali, C. & Jager, K. J. Survival analysis: time-dependent effects and time-varying risk factors. Kidney Int. 74, 994–997 (2008).
den Elzen, W. P., van Manen, J. G., Boeschoten, E. W., Krediet, R. T. & Dekker, F. W. The effect of single and repeatedly high concentrations of C-reactive protein on cardiovascular and non-cardiovascular mortality in patients starting with dialysis. Nephrol. Dial. Transplant. 21, 1588–1595 (2006).
Ridker, P. M. C-reactive protein and the prediction of cardiovascular events among those at intermediate risk: moving an inflammatory hypothesis toward consensus. J. Am. Coll. Cardiol. 49, 2129–2138 (2007).
Platz, E. A. et al. Intra-individual variation in serum C-reactive protein over 4 years: an implication for epidemiologic studies. Cancer Causes Control. 21, 847–851 (2010).
Meuwese, C. L. et al. Trimestral variation patterns of C-reactive protein, interleukin-6 and tumor necrosis factor-α are similarly associated with survival in hemodialysis patients. Nephrol. Dial. Transplant. doi:10.1093/ndt/gfq557.
Ates, K., Ates, A., Ekmekci, Y. & Nergizoglu, G. The time course of serum C-reactive protein is more predictive of mortality than its baseline level in peritoneal dialysis patients. Perit. Dial. Int. 25, 256–268 (2005).
Kim, B. S. et al. Persistent elevation of C-reactive protein may predict cardiac hypertrophy and dysfunction in patients maintained on hemodialysis. Am. J. Nephrol. 25, 189–195 (2005).
Rao, M. et al. Plasma interleukin-6 predicts cardiovascular mortality in hemodialysis patients. Am. J. Kidney Dis. 45, 324–333 (2005).
Levitt, H., Smith, K. G. & Rosner, M. H. Variability in calcium, phosphorus, and parathyroid hormone in patients on hemodialysis. Hemodial. Int. 13, 518–525 (2009).
Yang, W. et al. Hemoglobin variability and mortality in ESRD. J. Am. Soc. Nephrol. 18, 3164–3170 (2007).
Koulouridis, E. et al. Homocysteine and C-reactive protein levels in hemodialysis patients. Int. Urol. Nephrol. 33, 207–215 (2001).
Raj, D. S. et al. Coordinated increase in albumin, fibrinogen, and muscle protein synthesis during hemodialysis: role of cytokines. Am. J. Physiol. Endocrinol. Metab. 286, E658–E664 (2004).
Ciaccio, M. et al. Changes in serum fetuin-A and inflammatory markers levels in end-stage renal disease (ESRD): effect of a single session hemodialysis. Clin. Chem. Lab. Med. 46, 212–214 (2008).
Schulze, C. et al. Reduced expression of systemic proinflammatory cytokines after off-pump versus conventional coronary artery bypass grafting. Thorac. Cardiovasc. Surg. 48, 364–369 (2000).
Meuwese, C. L. et al. Variations in C-reactive protein during a single hemodialysis session do not associate with mortality. Nephrol. Dial. Transplant. 25, 3717–3723 (2010).
Pearson, T. A. et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 107, 499–511 (2003).
Carrero, J. J. & Stenvinkel P. Inflammation in end-stage renal disease—what have we learned in 10 years? Semin. Dial. 23, 498–509 (2010).
Simmons, E. M. et al. Plasma cytokine levels predict mortality in patients with acute renal failure. Kidney Int. 65, 1357–1365 (2004).
Ducloux, D. et al. C-reactive protein and cardiovascular disease in peritoneal dialysis patients. Kidney Int. 62, 1417–1422 (2002).
Wanner, C., Richardson, D., Fouque, D. & Stenvinkel, P. OPTA-Influence of inflammation/infection on anemia therapy in hemodialysis patients. Nephrol. Dial. Transplant. 22 (Suppl. 3), iii7–iii12 (2007).
Stenvinkel, P. et al. Inflammation and outcome in end-stage renal failure: does female gender constitute a survival advantage? Kidney Int. 62, 1791–1798 (2002).
Kawaguchi, T. et al. C-reactive protein and mortality in hemodialysis patients: the dialysis outcomes and practice patterns study (DOPPS). Nephron Clin. Pract. 117, c167–c178 (2010).
Zimmermann, J., Herrlinger, S., Pruy, A., Metzger, T. & Wanner, C. Inflammation enhances cardiovascular risk and mortality in hemodialysis patients. Kidney Int. 55, 648–658 (1999).
Mallamaci, F., Tripepi, G., Cutrupi, S., Malatino, L. S. & Zoccali, C. Prognostic value of combined use of biomarkers of inflammation, endothelial dysfunction, and myocardiopathy in patients with ESRD. Kidney Int. 67, 2330–2337 (2005).
Tripepi, G., Jager, K. J., Dekker, F. W. & Zoccali, C. Statistical methods for the assessment of prognostic biomarkers (Part II): calibration and re-classification. Nephrol. Dial. Transplant. 25, 1402–1405 (2010).
Tripepi, G., Jager, K. J., Dekker, F. W. & Zoccali, C. Statistical methods for the assessment of prognostic biomarkers (Part I): discrimination. Nephrol. Dial. Transplant. 25, 1399–1401 (2010).
Blankenberg, S. et al. Contribution of 30 biomarkers to 10-year cardiovascular risk estimation in 2 population cohorts: the MONICA, risk, genetics, archiving, and monograph (MORGAM) biomarker project. Circulation 121, 2388–2397 (2010).
Carrero, J. J. & Stenvinkel, P. Persistent inflammation as a catalyzt for other risk factors in chronic kidney disease: a hypothesis proposal. Clin. J. Am. Soc. Nephrol. 4 (Suppl. 1), S49–S55 (2009).
Gunnell, J., Yeun, J. Y., Depner, T. A. & Kaysen, G. A. Acute-phase response predicts erythropoietin resistance in hemodialysis and peritoneal dialysis patients. Am. J. Kidney Dis. 33, 63–72 (1999).
Wei, M., Bargman, J. M. & Oreopoulos, D. G. Factors related to erythropoietin hypo-responsiveness in patients on chronic peritoneal dialysis. Int. Urol. Nephrol. 39, 935–940 (2007).
Matias, P. J. et al. Cholecalciferol supplementation in hemodialysis patients: effects on mineral metabolism, inflammation, and cardiac dimension parameters. Clin. J. Am. Soc. Nephrol. 5, 905–911 (2010).
Caglar, K. et al. Short-term treatment with sevelamer increases serum fetuin-a concentration and improves endothelial dysfunction in chronic kidney disease stage 4 patients. Clin. J. Am. Soc. Nephrol. 3, 61–68 (2008).
Yamamoto, D., Takai, S., Hirahara, I. & Kusano, E. Captopril directly inhibits matrix metalloproteinase-2 activity in continuous ambulatory peritoneal dialysis therapy. Clin. Chim. Acta 411, 762–764 (2010).
Perkins, R. M. et al. Effect of pentoxifylline on GFR decline in CKD: a pilot, double-blind, randomized, placebo-controlled trial. Am. J. Kidney Dis. 53, 606–616 (2009).
Fellstrom, B. C. et al. Rosuvastatin and cardiovascular events in patients undergoing hemodialysis. N. Engl. J. Med. 360, 1395–1407 (2009).
Muntinghe, F. L. et al. CCR5 deletion protects against inflammation-associated mortality in dialysis patients. J. Am. Soc. Nephrol. 20, 1641–1649 (2009).
Muntinghe, F. L., Carrero, J. J., Navis, G. & Stenvinkel, P. TNF-α levels are not increased in inflamed patients carrying the CCR5 deletion 32. Cytokine 53, 16–18 (2011).
Smolen, J. S. et al. Effect of interleukin-6 receptor inhibition with tocilizumab in patients with rheumatoid arthritis (OPTION study): a double-blind, placebo-controlled, randomised trial. Lancet 371, 987–997 (2008).
Scheinecker, C., Redlich, K. & Smolen, J. S. Cytokines as therapeutic targets: advances and limitations. Immunity 28, 440–444 (2008).
Don, B. R. et al. The pharmacokinetics of etanercept in patients with end-stage renal disease on hemodialysis. J. Pharm. Pharmacol. 57, 1407–1413 (2005).
Don, B. R. et al. The effect of etanercept on suppression of the systemic inflammatory response in chronic hemodialysis patients. Clin. Nephrol. 73, 431–438 (2010).
Cheung, A. K. et al. Effects of high-flux hemodialysis on clinical outcomes: results of the HEMO study. J. Am. Soc. Nephrol. 14, 3251–3263 (2003).
Acknowledgements
The authors wish to express their gratitude to Dr. C. A. M. van der Hoorn–van Velthoven from the library at Leiden University Medical Centre for their assistance in the literature study. C. Meuwese's research stay at Karolinska Institutet was carried out under the Erasmus agreement between Leiden University Medical Center and Karolinska Institutet. Support for that stay was obtained from the Dutch Kidney Foundation and the Jo Keur foundation of the Leiden University Medical Centre. The authors and some of the studies hereby presented were partially supported by the Westman's and Loo and Hans Ostermans' foundations, The Heart and Lung Foundation, the Swedish Medical Research Council (Vetenskapsrådet) and Centre for Gender Medicine at Karolinska Institutet.
Author information
Authors and Affiliations
Contributions
All authors made substantial contributions to the discussion of content, and reviewed/edited the manuscript before submission. C. L. Meuwese and J. J. Carrero wrote the article, and F. W. Dekker and P. Stenvinkel revised and developed the draft to its final form.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Rights and permissions
About this article
Cite this article
Meuwese, C., Stenvinkel, P., Dekker, F. et al. Monitoring of inflammation in patients on dialysis: forewarned is forearmed. Nat Rev Nephrol 7, 166–176 (2011). https://doi.org/10.1038/nrneph.2011.2
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrneph.2011.2
This article is cited by
-
Persistent inflammation worsens short-term outcomes in massive stroke patients
BMC Neurology (2021)
-
A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals
Nature Biomedical Engineering (2020)
-
Biological basis of lymphocyte ratios for survival prediction in hemodialysis patients: a longitudinal study
International Urology and Nephrology (2020)
-
Self-management interventions for chronic kidney disease: a systematic review and meta-analysis
BMC Nephrology (2019)
-
Hepatocyte nuclear factors as possible C-reactive protein transcriptional inducer in the liver and white adipose tissue of rats with experimental chronic renal failure
Molecular and Cellular Biochemistry (2018)