Acid‐base disorders in sick goats and their association with mortality: A simplified strong ion difference approach

Objectives To investigate the acid‐base status of sick goats using the simplified strong ion difference (sSID) approach, to establish the quantitative contribution of sSID variables to changes in blood pH and HCO3− and to determine whether clinical, acid‐base, and biochemical variables on admission...

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Veröffentlicht in:Journal of veterinary internal medicine 2020-11, Vol.34 (6), p.2776-2786
Hauptverfasser: Gomez, Diego E., Bedford, Sofia, Darby, Shannon, Palmisano, Megan, MacKay, Robert J., Renaud, David L.
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container_end_page 2786
container_issue 6
container_start_page 2776
container_title Journal of veterinary internal medicine
container_volume 34
creator Gomez, Diego E.
Bedford, Sofia
Darby, Shannon
Palmisano, Megan
MacKay, Robert J.
Renaud, David L.
description Objectives To investigate the acid‐base status of sick goats using the simplified strong ion difference (sSID) approach, to establish the quantitative contribution of sSID variables to changes in blood pH and HCO3− and to determine whether clinical, acid‐base, and biochemical variables on admission are associated with the mortality of sick goats. Animals One hundred forty‐three sick goats. Methods Retrospective study. Calculated sSID variables included SID using 6 electrolytes unmeasured strong ions (USI) and the total nonvolatile buffer ion concentration in plasma (Atot). The relationship between measured blood pH and HCO3−, and the sSID variables was examined using forward stepwise linear regression. Cox proportional hazard models were constructed to assess associations between potential predictor variables and mortality of goats during hospitalization. Results Hypocapnia, hypokalemia, hyperchloremia, hyperlactatemia, and hyperproteinemia were common abnormalities identified in sick goats. Respiratory alkalosis, strong ion acidosis, and Atot acidosis were acid‐base disorders frequently encountered in sick goats. In sick goats, the sSID variables explained 97% and 100% of the changes in blood pH and HCO3−, respectively. The results indicated that changes in the respiratory rate (
doi_str_mv 10.1111/jvim.15956
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Animals One hundred forty‐three sick goats. Methods Retrospective study. Calculated sSID variables included SID using 6 electrolytes unmeasured strong ions (USI) and the total nonvolatile buffer ion concentration in plasma (Atot). The relationship between measured blood pH and HCO3−, and the sSID variables was examined using forward stepwise linear regression. Cox proportional hazard models were constructed to assess associations between potential predictor variables and mortality of goats during hospitalization. Results Hypocapnia, hypokalemia, hyperchloremia, hyperlactatemia, and hyperproteinemia were common abnormalities identified in sick goats. Respiratory alkalosis, strong ion acidosis, and Atot acidosis were acid‐base disorders frequently encountered in sick goats. In sick goats, the sSID variables explained 97% and 100% of the changes in blood pH and HCO3−, respectively. The results indicated that changes in the respiratory rate (&lt;16 respirations per minute), USI, and pH at admission were associated with increased hazard of hospital mortality in sick goats. Conclusions and Clinical Importance The sSID approach is a useful methodology to quantify acid‐base disorders in goats and to determine the mechanisms of their development. Clinicians should consider calculation of USI in sick goats as part of the battery of information required to establish prognosis.</description><identifier>ISSN: 0891-6640</identifier><identifier>ISSN: 1939-1676</identifier><identifier>EISSN: 1939-1676</identifier><identifier>DOI: 10.1111/jvim.15956</identifier><identifier>PMID: 33140905</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley &amp; Sons, Inc</publisher><subject>Acid-Base Equilibrium ; Acid-Base Imbalance - veterinary ; Acids ; Animals ; Carbon dioxide ; Cattle ; clinical pathology ; Creatinine ; Electrolytes ; FOOD AND FIBER ; Glucose ; Goat Diseases ; Goats ; haemonchus ; Hydrogen-Ion Concentration ; hyperlactatemia ; Ions ; Measurement techniques ; Mortality ; Plasma ; pregnancy toxemia ; Proteins ; Retrospective Studies ; strong ion difference ; unmeasured anions ; urolithiasis ; Variables</subject><ispartof>Journal of veterinary internal medicine, 2020-11, Vol.34 (6), p.2776-2786</ispartof><rights>2020 The Authors. published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.</rights><rights>2020 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4486-a55fa15e847f9f8db015fb038d4f77e8b7a2a3815079a37696fa118b614c2a783</citedby><cites>FETCH-LOGICAL-c4486-a55fa15e847f9f8db015fb038d4f77e8b7a2a3815079a37696fa118b614c2a783</cites><orcidid>0000-0001-7495-4868</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694813/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694813/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11543,27903,27904,45553,45554,46030,46454,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33140905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gomez, Diego E.</creatorcontrib><creatorcontrib>Bedford, Sofia</creatorcontrib><creatorcontrib>Darby, Shannon</creatorcontrib><creatorcontrib>Palmisano, Megan</creatorcontrib><creatorcontrib>MacKay, Robert J.</creatorcontrib><creatorcontrib>Renaud, David L.</creatorcontrib><title>Acid‐base disorders in sick goats and their association with mortality: A simplified strong ion difference approach</title><title>Journal of veterinary internal medicine</title><addtitle>J Vet Intern Med</addtitle><description>Objectives To investigate the acid‐base status of sick goats using the simplified strong ion difference (sSID) approach, to establish the quantitative contribution of sSID variables to changes in blood pH and HCO3− and to determine whether clinical, acid‐base, and biochemical variables on admission are associated with the mortality of sick goats. Animals One hundred forty‐three sick goats. Methods Retrospective study. Calculated sSID variables included SID using 6 electrolytes unmeasured strong ions (USI) and the total nonvolatile buffer ion concentration in plasma (Atot). The relationship between measured blood pH and HCO3−, and the sSID variables was examined using forward stepwise linear regression. Cox proportional hazard models were constructed to assess associations between potential predictor variables and mortality of goats during hospitalization. Results Hypocapnia, hypokalemia, hyperchloremia, hyperlactatemia, and hyperproteinemia were common abnormalities identified in sick goats. Respiratory alkalosis, strong ion acidosis, and Atot acidosis were acid‐base disorders frequently encountered in sick goats. In sick goats, the sSID variables explained 97% and 100% of the changes in blood pH and HCO3−, respectively. The results indicated that changes in the respiratory rate (&lt;16 respirations per minute), USI, and pH at admission were associated with increased hazard of hospital mortality in sick goats. Conclusions and Clinical Importance The sSID approach is a useful methodology to quantify acid‐base disorders in goats and to determine the mechanisms of their development. 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Animals One hundred forty‐three sick goats. Methods Retrospective study. Calculated sSID variables included SID using 6 electrolytes unmeasured strong ions (USI) and the total nonvolatile buffer ion concentration in plasma (Atot). The relationship between measured blood pH and HCO3−, and the sSID variables was examined using forward stepwise linear regression. Cox proportional hazard models were constructed to assess associations between potential predictor variables and mortality of goats during hospitalization. Results Hypocapnia, hypokalemia, hyperchloremia, hyperlactatemia, and hyperproteinemia were common abnormalities identified in sick goats. Respiratory alkalosis, strong ion acidosis, and Atot acidosis were acid‐base disorders frequently encountered in sick goats. In sick goats, the sSID variables explained 97% and 100% of the changes in blood pH and HCO3−, respectively. The results indicated that changes in the respiratory rate (&lt;16 respirations per minute), USI, and pH at admission were associated with increased hazard of hospital mortality in sick goats. Conclusions and Clinical Importance The sSID approach is a useful methodology to quantify acid‐base disorders in goats and to determine the mechanisms of their development. Clinicians should consider calculation of USI in sick goats as part of the battery of information required to establish prognosis.</abstract><cop>Hoboken, USA</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>33140905</pmid><doi>10.1111/jvim.15956</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7495-4868</orcidid><oa>free_for_read</oa></addata></record>
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subjects Acid-Base Equilibrium
Acid-Base Imbalance - veterinary
Acids
Animals
Carbon dioxide
Cattle
clinical pathology
Creatinine
Electrolytes
FOOD AND FIBER
Glucose
Goat Diseases
Goats
haemonchus
Hydrogen-Ion Concentration
hyperlactatemia
Ions
Measurement techniques
Mortality
Plasma
pregnancy toxemia
Proteins
Retrospective Studies
strong ion difference
unmeasured anions
urolithiasis
Variables
title Acid‐base disorders in sick goats and their association with mortality: A simplified strong ion difference approach
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