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dc.contributor.authorDillane, Patrick
dc.contributor.authorKrump, Lea
dc.contributor.authorKennedy, Emer
dc.contributor.authorSayers, Riona
dc.contributor.authorSayers, Gearóid P.
dc.date.accessioned2020-07-28T10:58:08Z
dc.date.available2020-07-28T10:58:08Z
dc.date.issued2020-04-09
dc.identifier.citationDillane P, Krump L, Kennedy E, Sayers RG, Sayers GP (2020) Determining the predictive capability of a Clinical Assessment Scoring Chart to differentiate severity of the clinical consequences of neonatal calf diarrhea relative to gold-standard blood gas analysis. PLoS ONE 15(4): e0230708. https://doi.org/10.1371/journal.pone.0230708en_US
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11019/2191
dc.descriptionpeer-revieweden_US
dc.description.abstractNeonatal calf diarrhea (NCD) is a major problem to calf health worldwide, in terms of both morbidity and mortality. A five-point ordinal scale clinical assessment scoring (CAS) chart was utilized to assess calves suffering from NCD-related clinical abnormalities (acidosis and dehydration) on commercial farms. The objective of this research was to determine the predictive capability of this CAS chart against gold standard blood gas parameters, designed to assist farmers in the accurate assessment of the clinical consequences of NCD. A total of 443 diarrheic and non-diarrheic calves were enrolled in the study. The CAS chart rated a calf’s health from no clinical signs to varying degrees of clinical severity on a 0 (clinically normal) to 4 (grave) scale, based on clinical indicators including calf demeanour, ear position, mobility, suckle reflex, desire-to-feed, and enophthalmos. Blood gas analysis was conducted for individual calves, consisting of pH, base excess, Na+, K+, Ca2+, Cl−, glucose, total hemoglobin, bicarbonate, anion gap, and strong ion difference. Statistical evaluation was performed by comparison of the CAS score with blood gas profiles using ordinal logistic regression and a non-parametric estimation of the Receiver Operating Characteristics (ROC). The ROC analysis indicated that the CAS chart had acceptable specificity (>95%) with low sensitivity (<60%) in differentiating clinically normal from acidotic/dehydrated cases. Assessment of individual severity classes indicated that the chart can predict and differentiate both clinically normal and advanced cases from the other severity classes (peak estimations >80%) but had reduced accuracy in differentiating mild and moderate cases (peak estimations >50%). The chart, as presented, provides a simple tool to differentiate clinically normal from calves suffering the consequences of diarrhea, but fails to accurately differentiate severity for NCD related acidosis and dehydration. Further efforts are required to enhance the sensitivity and differential diagnostic value of this type of chart.en_US
dc.language.isoenen_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.ispartofseriesPLoS One;15
dc.rightsAttribution-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.subjectGeneral Agricultural and Biological Sciencesen_US
dc.subjectblood gas analysisen_US
dc.subjectclinical assesment scoring charten_US
dc.subjectneonatal calf diarrheaen_US
dc.titleDetermining the predictive capability of a Clinical Assessment Scoring Chart to differentiate severity of the clinical consequences of neonatal calf diarrhea relative to gold-standard blood gas analysisen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0230708
dc.source.volume15
dc.source.issue4
dc.source.beginpagee0230708
refterms.dateFOA2020-07-28T10:58:08Z


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