Development of a Colic Severity Score for Predicting the Outcome of Equine Colic
Thirty‐two physical examination and laboratory variables were recorded during examination of 165 horses admitted for acute abdominal disease. Univariate analyses were performed to determine which of the variables were significantly different between horses that lived or died. Stepwise logistic regre...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
1995
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/129321 |
| _version_ | 1855526322120425472 |
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| author | Furr, Martin O. Lessard, Pierre White, Nathaniel A. |
| author_browse | Furr, Martin O. Lessard, Pierre White, Nathaniel A. |
| author_facet | Furr, Martin O. Lessard, Pierre White, Nathaniel A. |
| author_sort | Furr, Martin O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Thirty‐two physical examination and laboratory variables were recorded during examination of 165 horses admitted for acute abdominal disease. Univariate analyses were performed to determine which of the variables were significantly different between horses that lived or died. Stepwise logistic regression was performed to identify variables with the best predictive value. Four variables (heart rate, peritoneal fluid total protein concentration, blood lactate concentration, and abnormal mucous membrane) remained significant when entered into the model. Histograms for each significant variable were used to set “cutting‐points,” establishing categories that were made into a table of assigned values from which a Colic Severity Score (CSS) for each horse was calculated. Seventy‐one horses in a second group were used to validate the scoring chart. Case mortality rate was similar in both groups (20.6% in development group versus 21.1 % in validation group). All horses with a CSS > 7 died, whereas 75% of those with a score of 7 lived. For the validation group, use of the scoring table yielded a positive predictive value of 100%, negative predictive value of 91.8%, sensitivity of 66.7%, and specificity of 100%. The overall accuracy of the CSS was 93%. The CSS is a rapid and accurate method for predicting survival in cases of equine acute abdominal disease. |
| format | Journal Article |
| id | CGSpace129321 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1995 |
| publishDateRange | 1995 |
| publishDateSort | 1995 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1293212024-08-27T10:36:04Z Development of a Colic Severity Score for Predicting the Outcome of Equine Colic Furr, Martin O. Lessard, Pierre White, Nathaniel A. development horses Thirty‐two physical examination and laboratory variables were recorded during examination of 165 horses admitted for acute abdominal disease. Univariate analyses were performed to determine which of the variables were significantly different between horses that lived or died. Stepwise logistic regression was performed to identify variables with the best predictive value. Four variables (heart rate, peritoneal fluid total protein concentration, blood lactate concentration, and abnormal mucous membrane) remained significant when entered into the model. Histograms for each significant variable were used to set “cutting‐points,” establishing categories that were made into a table of assigned values from which a Colic Severity Score (CSS) for each horse was calculated. Seventy‐one horses in a second group were used to validate the scoring chart. Case mortality rate was similar in both groups (20.6% in development group versus 21.1 % in validation group). All horses with a CSS > 7 died, whereas 75% of those with a score of 7 lived. For the validation group, use of the scoring table yielded a positive predictive value of 100%, negative predictive value of 91.8%, sensitivity of 66.7%, and specificity of 100%. The overall accuracy of the CSS was 93%. The CSS is a rapid and accurate method for predicting survival in cases of equine acute abdominal disease. 1995-03 2023-03-10T14:33:14Z 2023-03-10T14:33:14Z Journal Article https://hdl.handle.net/10568/129321 en Limited Access Wiley Furr, Martin O.; Lessard, Pierre; White, Nathaniel A. 1995. Development of a Colic Severity Score for Predicting the Outcome of Equine Colic. Veterinary Surgery 24: 97-101 |
| spellingShingle | development horses Furr, Martin O. Lessard, Pierre White, Nathaniel A. Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title | Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title_full | Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title_fullStr | Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title_full_unstemmed | Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title_short | Development of a Colic Severity Score for Predicting the Outcome of Equine Colic |
| title_sort | development of a colic severity score for predicting the outcome of equine colic |
| topic | development horses |
| url | https://hdl.handle.net/10568/129321 |
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