JOURNAL ARTICLE

Iatrogenic hyperchloremia: An overview in hospitalized patients for pharmacists.

  • Published In: American Journal of Health-System Pharmacy, 2024, v. 81, n. 17. P. e462 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Most, Amoreena; Nordbeck, Sarah; Farina, Nicholas 3 of 3

Abstract

This article provides an overview of hyperchloremia, an electrolyte imbalance linked to increased risk of acute kidney injury (AKI) and metabolic acidosis, focusing on its pathophysiology and prevention strategies in hospitalized patients. It highlights that intravenous (IV) fluids, including resuscitation fluids, medication diluents, and total parenteral nutrition (TPN), contribute to chloride load, with unbalanced crystalloids like 0.9% sodium chloride associated with higher rates of hyperchloremia compared to balanced crystalloids such as lactated Ringer's or Plasma-Lyte. While multiple randomized controlled trials (RCTs) have not shown mortality differences between balanced and unbalanced fluids in critically ill patients, some evidence suggests patients with sepsis may benefit from balanced crystalloids to reduce AKI and mortality risk. The article also discusses the role of medication diluents and TPN as modifiable sources of chloride and emphasizes that management of hyperchloremia is primarily preventative, with further research needed on treatment approaches and specific patient populations.

Additional Information

  • Source:American Journal of Health-System Pharmacy. 2024/09, Vol. 81, Issue 17, pe462
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1079-2082
  • DOI:10.1093/ajhp/zxae086
  • Accession Number:179145845
  • Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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