We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




High Lithium Levels Adversely Affect Renal Function

By HospiMedica International staff writers
Posted on 25 Nov 2014
Print article
A new study reveals that Lithium (Li), a mainstay treatment for patients with bipolar disorder, can cause acute kidney damage, even during a short-term exposure.

Researchers at the University of East Anglia (UEA; Norwich, United Kingdom) and the Norfolk and Suffolk NHS Foundation Trust (Norwich, United Kingdom) conducted a study involving 699 patients from the Norfolk-wide lithium register and database to determine associations between short-term exposure to elevated Li levels and estimated-glomerular filtration rate (eGFR) at 3, 6, and 12 months follow-up. The Li levels were 0.81–1.0, 1.01–1.2, and 1.21–2.0 mmol/L, with a reference group whose Li levels never exceeded 0.8 mmol/L.

The results showed that a single incident of a lithium level higher than 1 mmol/L was associated with a significant decrease in eGFR in the following 3 months, compared to patients whose Li levels never exceeded 0.8 mmol/L; kidney function remained affected for up to nine months after exposure to a high Li level. The researchers are currently exploring the effects of multiple exposures to high lithium levels on kidney function. The study was published on November 7, 2014, in BJM Open.

“A single exposure to a lithium level greater than 1.0 mmol/L is associated with an increased risk of kidney function impairment in the following three months and that the higher the level, the greater the effect,” said lead author Emma Kirkham, PhD, of UEA School of Pharmacy. “This highlights the need for regular monitoring undertaken at least every three months, and that monitoring should not be reduced further until the impact of more than one high-level of lithium has been fully established.”

Recently, the UK National Institute for Health and Care Excellence (NICE; London, United Kingdom) changed its recommendation that Li levels should be checked every six months, a reduction from the previous recommendation of checking Li levels every three months. The results of the study strongly support monitoring be undertaken at least every three months, in line with other guidelines, and not be reduced.

Related Links:

University of East Anglia
Norfolk and Suffolk NHS Foundation Trust
UK National Institute for Health and Care Excellence


Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Anesthesia Workstation
X40

Print article

Channels

Surgical Techniques

view channel
Image: Real-time analysis image by \"Eureka α\" with connective tissue highlighted in blue (Photo courtesy of Anaut Inc.)

AI-Powered Surgical Visualization Tool Supports Surgeons' Visual Recognition in Real Time

Connective tissue serves as an essential landmark in surgical navigation, often referred to as the "dissection plane" or "holy plane." Its accurate identification is vital for achieving safe and effective... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.