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Intravenous Fluids and Acute Kidney Injury

Open access
Ding, Xiaoqiang, Cheng, Zhen, Qian, Qi·2017·Blood Purification

Abstract

Over 50% of the human body is comprised of fluids that are distributed in defined compartments. Although compartmentalized, these fluids are dynamically connected. Fluids, electrolytes, and acid-base balance in each compartment are tightly regulated, mostly in an energy-dependent manner to achieve their designed functions. For over a century, our understanding of the microvascular fluid homeostasis has evolved from hypothesized Ernest Starling principle to evidence-based and the revised Starling principle, incorporating the functional endothelial surface layer. The kidney is a highly vascular and encapsulated organ that is exquisitely sensitive to inadequate (insufficient or excess) blood flow. The kidney is particularly sensitive to venous congestion, and studies show that reduced venous return triggers a greater degree of kidney damage than that from lacking arterial flow. Thus, fluid overload can induce severe and sustained kidney injury. In the setting of established acute kidney injury, fluid management can be challenging. Impaired capacity of urine output and urine concentration and dilution should be taken into consideration when designing fluid therapy. Video Journal Club ‘Cappuccino with Claudio Ronco' at http://www.karger.com/?doi=452702.

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Cited by

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Metadata

Authors
Ding, X., Cheng, Z., & Qian, Q.
Venue
Blood Purification
Publisher
S. Karger AG
Published
2017
Volume
43
Issue
1-3
Pages
163-172
ISSN
  • 0253-5068 (ISSN-L)
  • 1421-9735
OpenAlex
W2581605534
Cited by
6,827
References
7
FWCI
420.98
Type
journal article
Language
en
Open access
bronze
Licence

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CoChat. (2026). Citation check: Intravenous Fluids and Acute Kidney Injury. https://app.cochat.ai/papers/10.1159/000452702
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Ding, X., Cheng, Z., & Qian, Q. (2017). Intravenous Fluids and Acute Kidney Injury. Blood Purification. https://doi.org/10.1159/000452702

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.