Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Diabetic Medicine
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 3 versions
addClaim

Hyperlactatemia in diabetic ketoacidosis

Authors: Umesh Masharani; Lisa A. Strycker; Ann A. Lazar; Karin Wu; George A. Brooks;

Hyperlactatemia in diabetic ketoacidosis

Abstract

AbstractAimsThe study examined the prevalence and degree of lactate elevation in diabetic ketoacidosis, and explored which biochemical abnormalities predicted L‐lactate levels.MethodsWe reviewed episodes of diabetic ketoacidosis from 79 diabetes patients (one episode per patient). Separate univariate linear regression models were specified to predict lactate level from each of nine biochemical variables. Significant predictors from the univariate models were included in a final multivariate linear regression model to predict lactate levels.ResultsMean (SD) lactate level was 3.05 (1.66) mmol/L; about 65% of patients had lactate levels >2 mmol/L. In the final multivariate linear regression model (R2 = 0.45), higher lactate levels were associated with greater hydrogen ion concentration (standardised β = .60, t = 4.16, p < 0.0001), higher blood glucose (standardised β = .28, t = 2.67, p = 0.009) and lower glomerular filtration rate estimated from creatinine (standardised β = −.23, t = 2.29, p = 0.025). Bicarbonate, beta‐hydroxybutyrate, body mass index, mean arterial pressure and calculated osmolality were not significant predictors of lactate level. There were three distinct patterns of lactate levels with treatment of diabetic ketoacidosis: group 1 = gradual decline, group 2 = initial increase and then decline and group 3 = initial decline followed by a transient peak and subsequent decline.ConclusionsElevated lactate level is the norm in patients with diabetic ketoacidosis. Higher blood glucose levels and higher hydrogen ion concentrations are related to greater lactate. With treatment, there are different patterns of decline in lactate levels.

Country
United States
Keywords

Blood Glucose, lactate, Biomedical and Clinical Sciences, 3-Hydroxybutyric Acid, Clinical Sciences, Diabetes, Clinical sciences, hydrogen ion, Diabetic Ketoacidosis, Endocrinology & Metabolism, diabetic ketoacidosis, Hyperglycemia, Public Health and Health Services, Diabetes Mellitus, blood glucose, Psychology, Humans, Hyperlactatemia, Lactic Acid, Metabolic and endocrine

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
Green