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Review
. 2018;45(1-3):159-165.
doi: 10.1159/000485153. Epub 2018 Jan 26.

Fluid Overload and Inflammation Axis

Review

Fluid Overload and Inflammation Axis

Marijke J E Dekker et al. Blood Purif. 2018.

Abstract

Extracellular fluid overload (FO), which is assessed using bioimpedance technologies, is an important predictor of outcome in dialysis patients and in patients with early stages of chronic kidney disease. While traditional cardiovascular abnormalities are assumed to mediate this risk, recently also, the importance of noncardiovascular factors, such as systemic inflammation and malnutrition has been shown. While both FO and inflammation are independent risk factors for mortality, recent studies have shown that their combined presence can lead to a cumulative risk profile. From a pathophysiologic viewpoint, FO and inflammation can also be mutually reinforcing. Inflammation could contribute to FO by hypoalbuminemia, capillary leakage, and a (unnoticed) decline in lean and/or fat tissue mass resulting in incorrect estimation of dry weight. Reciprocally, FO could lead to inflammation by the translocation of endotoxins through a congested bowel wall or by a proinflammatory effect of tissue sodium. The relative importance of these putative factors is, however, not clear yet and epidemiological studies have shown no clear temporal direction regarding the relationship between FO and inflammation. FO and inflammation appear to be part of (dynamic) clusters of risk factors, including malnutrition and hyponatremia. Technology-guided fluid management of the often vulnerable dialysis patient with FO and inflammation cannot yet be based on evidence from randomized controlled trials, in which these specific patients were in general not included. In the absence of those trials, treatment should be based on identifying actionable causes of inflammation and on the judicious removal of excess volume based on frequent clinical reassessment.

Keywords: Extracellular fluid; Inflammation; Malnutrition; Outcomes; Pathophysiology; Segmental bioimpedance.

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Figures

Fig. 1
Fig. 1
Different models to assess fluid status. a Total body water (TBW) compartment. b TBW compartment divided into the intracellular water (ICW) and extracellular water (ECW) compartment. c Display of the body compartments as calculated according to the 3-compartment model assuming a fixed hydration status of lean tissue mass (LTM) and fat tissue mass (FTM).
Fig. 2
Fig. 2
Known associations between fluid overload (FO) and inflammation. Known associations between FO and inflammation in patients with end stage renal disease, peritoneal dialysis and on hemodialysis.
Fig. 3
Fig. 3
Potential pathophysiological explanations of the fluid overload and inflammation axis. VCAM, vascular cell adhesion protein; UFR, ultrafiltration rate; IDH, intradialytic hypotension; Th-17, T-helper 17 cells.

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