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Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals

BACKGROUND: The quantitative effect of strong electrolytes, unmeasured strong anions (UAs), pCO (2), and plasma protein concentrations in determining plasma pH can be demonstrated using the physicochemical approach. Plasma anion gap (AG) and strong ion gap (SIG) are used to assess UAs in different s...

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Autores principales: Gomez, D.E., Biermann, N.M., Sanchez, L.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858039/
https://www.ncbi.nlm.nih.gov/pubmed/26256847
http://dx.doi.org/10.1111/jvim.13590
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author Gomez, D.E.
Biermann, N.M.
Sanchez, L.C.
author_facet Gomez, D.E.
Biermann, N.M.
Sanchez, L.C.
author_sort Gomez, D.E.
collection PubMed
description BACKGROUND: The quantitative effect of strong electrolytes, unmeasured strong anions (UAs), pCO (2), and plasma protein concentrations in determining plasma pH can be demonstrated using the physicochemical approach. Plasma anion gap (AG) and strong ion gap (SIG) are used to assess UAs in different species. HYPOTHESES: Strong ions are a major factor influencing changes in plasma pH of hospitalized foals. AG and SIG accurately predict severe hyper‐l‐lactatemia ([l‐lac(−)] > 7 mmol/L). ANIMALS: Seven hundred and ninety three hospitalized foals < 7 days old. METHODS: Retrospective study. The relationship between measured pH and physicochemical variables, and the relationship between plasma [l‐lac(−)] and AG and SIG, were determined using regression analyses. Optimal AG and SIG cut points to predict hyper‐l‐lactatemia were identified using an ROC curve analysis. RESULTS: Combined, the measured strong ion difference and SIG accounted for 54–69% of the changes in the measured arterial pH of hospitalized foals. AG and SIG were significantly associated with plasma [l‐lac(−)] (P < .0001). The receiver operator characteristics (ROC) AUC of AG and SIG for prediction of severe hyper‐l‐lactatemia were 0.89 (95%CI, 0.8–0.95; P < .0001) and 0.90 (95%CI, 0.81–0.96; P < .0001), respectively. Severe hyper‐l‐lactatemia was best predicted by AG > 27 mmol/L (sensitivity 80%, 95%CI, 56–94, specificity 85%, 95%CI, 73–93; P < .0001) and SIG <−15 mmol/L (sensitivity 90%, 95%CI, 68–98; specificity 80%; 95%CI, 68–90; P < .0001). CONCLUSION AND CLINICAL RELEVANCE: Altered concentrations of strong ions (Na(+), K(+), Cl(−)) and UAs were the primary cause of acidemia of hospitalized foals. AG and SIG were good predictors of hyper‐l‐lactatemia and could be used as surrogate tests.
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spelling pubmed-48580392016-06-22 Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals Gomez, D.E. Biermann, N.M. Sanchez, L.C. J Vet Intern Med EQUID BACKGROUND: The quantitative effect of strong electrolytes, unmeasured strong anions (UAs), pCO (2), and plasma protein concentrations in determining plasma pH can be demonstrated using the physicochemical approach. Plasma anion gap (AG) and strong ion gap (SIG) are used to assess UAs in different species. HYPOTHESES: Strong ions are a major factor influencing changes in plasma pH of hospitalized foals. AG and SIG accurately predict severe hyper‐l‐lactatemia ([l‐lac(−)] > 7 mmol/L). ANIMALS: Seven hundred and ninety three hospitalized foals < 7 days old. METHODS: Retrospective study. The relationship between measured pH and physicochemical variables, and the relationship between plasma [l‐lac(−)] and AG and SIG, were determined using regression analyses. Optimal AG and SIG cut points to predict hyper‐l‐lactatemia were identified using an ROC curve analysis. RESULTS: Combined, the measured strong ion difference and SIG accounted for 54–69% of the changes in the measured arterial pH of hospitalized foals. AG and SIG were significantly associated with plasma [l‐lac(−)] (P < .0001). The receiver operator characteristics (ROC) AUC of AG and SIG for prediction of severe hyper‐l‐lactatemia were 0.89 (95%CI, 0.8–0.95; P < .0001) and 0.90 (95%CI, 0.81–0.96; P < .0001), respectively. Severe hyper‐l‐lactatemia was best predicted by AG > 27 mmol/L (sensitivity 80%, 95%CI, 56–94, specificity 85%, 95%CI, 73–93; P < .0001) and SIG <−15 mmol/L (sensitivity 90%, 95%CI, 68–98; specificity 80%; 95%CI, 68–90; P < .0001). CONCLUSION AND CLINICAL RELEVANCE: Altered concentrations of strong ions (Na(+), K(+), Cl(−)) and UAs were the primary cause of acidemia of hospitalized foals. AG and SIG were good predictors of hyper‐l‐lactatemia and could be used as surrogate tests. John Wiley and Sons Inc. 2015-08-10 2015 /pmc/articles/PMC4858039/ /pubmed/26256847 http://dx.doi.org/10.1111/jvim.13590 Text en Copyright © 2015 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle EQUID
Gomez, D.E.
Biermann, N.M.
Sanchez, L.C.
Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title_full Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title_fullStr Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title_full_unstemmed Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title_short Physicochemical Approach to Determine the Mechanism for Acid–Base Disorders in 793 Hospitalized Foals
title_sort physicochemical approach to determine the mechanism for acid–base disorders in 793 hospitalized foals
topic EQUID
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858039/
https://www.ncbi.nlm.nih.gov/pubmed/26256847
http://dx.doi.org/10.1111/jvim.13590
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