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Predictors of blood ionized calcium concentration in sick adult cattle

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dc.contributor.authorKarapinar, Tolga
dc.contributor.authorTumer, Kenan Cagri
dc.contributor.authorConstable, Peter D.
dc.contributor.authorBuczinski, Sébastien M. C.
dc.date.accessioned2026-01-04T19:32:02Z
dc.date.issued2023-12-01
dc.description.abstractAbstractBackgroundData on the factors affecting blood ionized calcium concentration (ciCa2+) and diagnostic performance of serum total calcium concentration (ctCa) measurements to detect abnormal blood iCa2+ status are lacking in sick adult cattle.ObjectiveAssess the association of ciCa2+ with venous blood pH, plasma concentrations of chloride (cCl), sodium (cNa), and potassium (cK), and ctCa, and total protein, albumin, and globulin concentrations in sick adult cattle.AnimalsTwo‐hundred and sixty‐five adult cattle (≥1‐year‐old) with different diseases.MethodsProspective study. Whole blood pH, ciCa2+, cNa, cK, and cCl were measured using a blood gas and electrolyte analyzer, whereas ctCa, and total protein, and albumin concentrations were determined using an autoanalyzer. The relationship between ciCa2+ and venous blood pH, plasma cCl, cNa, cK, and ctCa, and total protein, albumin, and globulin concentrations was investigated. Sensitivity and specificity were calculated for ctCa for diagnosis of abnormal ciCa2+.ResultsSensitivity of ctCa measurements to detect abnormal ciCa2+ was 66.0% whereas specificity of ctCa measurements was 72.3%. Serum total calcium concentration measurements accounted for 42% of adjusted blood ionized calcium (iCa2+7.40) concentration variance. Plasma cCl, and cK had explanatory power of ciCa2+7.40, accounting for an additional 21% and 9% of the variance, respectively.Conclusions and Clinical ImportanceSerum tCa measurements failed to accurately predict blood iCa2+ status in ill adult cattle. Serum tCa concentrations and plasma cCl were the strongest predictors of ciCa2+ in sick adult cattle.
dc.description.urihttps://doi.org/10.1111/jvim.16938
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/38038334
dc.description.urihttp://dx.doi.org/10.1111/jvim.16938
dc.description.urihttps://doaj.org/article/0e20e5d45f6a4c198dc6c80f8564d058
dc.identifier.doi10.1111/jvim.16938
dc.identifier.eissn1939-1676
dc.identifier.endpage529
dc.identifier.issn0891-6640
dc.identifier.openairedoi_dedup___::3be4d70450dc8c031abd567dabb0ffc6
dc.identifier.orcid0000-0003-1724-491x
dc.identifier.orcid0000-0002-2861-0236
dc.identifier.orcid0000-0003-1929-2106
dc.identifier.orcid0000-0002-8460-4885
dc.identifier.pubmed38038334
dc.identifier.scopus2-s2.0-85178481104
dc.identifier.startpage520
dc.identifier.urihttps://hdl.handle.net/20.500.12597/41256
dc.identifier.volume38
dc.identifier.wos001111581300001
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofJournal of Veterinary Internal Medicine
dc.rightsOPEN
dc.subjectFOOD ANIMAL
dc.subjectHypocalcemia
dc.subjectVeterinary medicine
dc.subjectGlobulins
dc.subjectHydrogen-Ion Concentration
dc.subjectCalcium, Dietary
dc.subjectionized calcium
dc.subjectElectrolytes
dc.subjectSF600-1100
dc.subjectAnimals
dc.subjecthypochloremia
dc.subjectCattle
dc.subjectCalcium
dc.subjectProspective Studies
dc.subjectblood pH
dc.subjectSerum Albumin
dc.subject.sdg2. Zero hunger
dc.subject.sdg3. Good health
dc.titlePredictors of blood ionized calcium concentration in sick adult cattle
dc.typeArticle
dspace.entity.typePublication
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Whole blood pH, <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup>, <jats:italic>c</jats:italic>Na, <jats:italic>c</jats:italic>K, and <jats:italic>c</jats:italic>Cl were measured using a blood gas and electrolyte analyzer, whereas <jats:italic>c</jats:italic>tCa, and total protein, and albumin concentrations were determined using an autoanalyzer. The relationship between <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup> and venous blood pH, plasma <jats:italic>c</jats:italic>Cl, <jats:italic>c</jats:italic>Na, <jats:italic>c</jats:italic>K, and <jats:italic>c</jats:italic>tCa, and total protein, albumin, and globulin concentrations was investigated. Sensitivity and specificity were calculated for <jats:italic>c</jats:italic>tCa for diagnosis of abnormal <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup>.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Sensitivity of <jats:italic>c</jats:italic>tCa measurements to detect abnormal <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup> was 66.0% whereas specificity of <jats:italic>c</jats:italic>tCa measurements was 72.3%. Serum total calcium concentration measurements accounted for 42% of adjusted blood ionized calcium (iCa<jats:sup>2+</jats:sup><jats:sub>7.40</jats:sub>) concentration variance. Plasma <jats:italic>c</jats:italic>Cl, and <jats:italic>c</jats:italic>K had explanatory power of <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup><jats:sub>7.40</jats:sub>, accounting for an additional 21% and 9% of the variance, respectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusions and Clinical Importance</jats:title><jats:p>Serum tCa measurements failed to accurately predict blood iCa<jats:sup>2+</jats:sup> status in ill adult cattle. Serum tCa concentrations and plasma <jats:italic>c</jats:italic>Cl were the strongest predictors of <jats:italic>c</jats:italic>iCa<jats:sup>2+</jats:sup> in sick adult cattle.</jats:p></jats:sec>"],"publicationDate":"2023-12-01","publisher":"Wiley","embargoEndDate":null,"sources":["Crossref","J Vet Intern Med","Journal of Veterinary Internal Medicine, Vol 38, Iss 1, Pp 520-529 (2024)"],"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"Journal of Veterinary Internal Medicine","issnPrinted":"0891-6640","issnOnline":"1939-1676","issnLinking":null,"ep":"529","iss":null,"sp":"520","vol":"38","edition":null,"conferencePlace":null,"conferenceDate":null},"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::3be4d70450dc8c031abd567dabb0ffc6","originalIds":["10.1111/jvim.16938","50|doiboost____|3be4d70450dc8c031abd567dabb0ffc6","od_______267::073eb46f272b3eb957b94507bd4ad6fc","38038334","PMC10800226","50|od_______267::073eb46f272b3eb957b94507bd4ad6fc","oai:pubmedcentral.nih.gov:10800226","oai:doaj.org/article:0e20e5d45f6a4c198dc6c80f8564d058","50|doajarticles::6de62a090a5db0624216bf0af5f17066"],"pids":[{"scheme":"doi","value":"10.1111/jvim.16938"},{"scheme":"pmid","value":"38038334"},{"scheme":"pmc","value":"PMC10800226"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0,"influence":2.5349236e-9,"popularity":2.1399287e-9,"impulse":0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"instances":[{"pids":[{"scheme":"doi","value":"10.1111/jvim.16938"}],"license":"CC BY","type":"Article","urls":["https://doi.org/10.1111/jvim.16938"],"publicationDate":"2023-12-01","refereed":"peerReviewed"},{"pids":[{"scheme":"pmid","value":"38038334"},{"scheme":"pmc","value":"PMC10800226"}],"alternateIdentifiers":[{"scheme":"doi","value":"10.1111/jvim.16938"}],"type":"Article","urls":["https://pubmed.ncbi.nlm.nih.gov/38038334"],"publicationDate":"2024-01-23","refereed":"nonPeerReviewed"},{"alternateIdentifiers":[{"scheme":"doi","value":"10.1111/jvim.16938"}],"license":"CC BY","type":"Other literature type","urls":["http://dx.doi.org/10.1111/jvim.16938"],"publicationDate":"2023-12-01","refereed":"nonPeerReviewed"},{"alternateIdentifiers":[{"scheme":"doi","value":"10.1111/jvim.16938"}],"type":"Article","urls":["https://doaj.org/article/0e20e5d45f6a4c198dc6c80f8564d058"],"publicationDate":"2024-01-01","refereed":"nonPeerReviewed"}],"isGreen":true,"isInDiamondJournal":false}
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