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Veterinary medicine and science2025; 11(2); e70210; doi: 10.1002/vms3.70210

Can Arterial Blood Gas, Electrolyte and Acid-Base Analysis at Admission be Used to Predict Survival to Hospital Discharge for Different Causes of Colic?

Abstract: Predicting outcome in horses presenting with colic remains challenging. Objective: To test whether arterial blood samples in horses admitted for colic predict outcome to hospital discharge for different colic types. Methods: Arterial blood samples collected on admission from 358 horses undergoing medical or surgical management of colic were evaluated for pH, PaO, PaCO, Na, K, iCa, Cl, HCO (P), HCO (P, set), Base (B), Base (ecf) and anion gap. Categories were small intestinal non-strangulating (SINS) or strangulating (SIS) lesions, large colon non-volvulus (LCNV) or volvulus (LCV), small colon non-strangulating (SCNS) or strangulating (SCS) lesions, viscus rupture or other. Multivariable logistic regression models were developed based on survival, or not, to hospital discharge. Odd ratios (ORs) with 95% confidence intervals (95%CI) and area under the curve receiver operator characteristics (AUROC), sensitivity, specificity and positive and negative predictive values were calculated at a cut-off value of p = 0.5. Results: A total of 295/358 (82.4%) horses survived to hospital discharge. Variables retained as significantly associated with survival were PaO for SINS (OR 1.15, 95%CI 1.04-1.27), PaO (OR 1.06, 95% CI 1.01-1.11) and Na (OR 1.24, 95% CI 1.02-1.52) for SIS, Ca (OR 175.1, 95% CI 2.20-13958) and HCO (P) (OR 1.18, 95% CI 1.01-1.37) for LCNV and PaCO (OR 1.47, 95% CI 1.05-2.06) for LCV. AUROCs showed acceptable-excellent discrimination (range: 0.7-0.9), excellent sensitivity (range: 91%-100%) but poor-fair specificity (range: 8%-50%). Conclusions: Arterial blood is good at predicting survival based on colic type but less accurate at predicting those horses which do not survive to hospital discharge.
Publication Date: 2025-02-06 PubMed ID: 39912702PubMed Central: PMC11800372DOI: 10.1002/vms3.70210Google Scholar: Lookup
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  • Journal Article

Summary

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The research article is about a study that investigated the potential of using arterial blood samples taken from horses admitted for colic to predict their chances of survival to hospital discharge. This study identified several factors from the blood samples that significantly affect survival rates, but noted that predicting non-survival was less accurate.

Overview of the Research

  • The research primarily aimed to assess if arterial blood samples taken from horses suffering from different types of colic could be used to predict their survival to hospital discharge.
  • The study involved 358 horses that were undergoing either medical or surgical management for colic. These horses had arterial blood samples collected when they were admitted to the hospital.
  • Various parameters such as pH, PaO, PaCO, Na, K, iCa, Cl, HCO (P), HCO (P, set), Base (B), Base (ecf) and anion gap were evaluated in the collected blood samples.
  • The types of colic accounted for in the study were categorized as-
    • Small intestinal non-strangulating (SINS) or strangulating (SIS) lesions,
    • Large colon non-volvulus (LCNV) or volvulus (LCV),
    • Small colon non-strangulating (SCNS) or strangulating (SCS) lesions, and
    • Viscus rupture or other.
  • The researchers used multivariable logistic regression models to predict survival based on the aforementioned arterial blood parameters.

Key Findings

  • Out of the total 358 horses, 82.4% (295 horses) survived to hospital discharge.
  • The study identified several arterial blood parameters that significantly predicted survival. These were:
    • PaO for SINS
    • PaO and Na for SIS
    • Ca and HCO (P) for LCNV
    • PaCO for LCV
  • The area under the curve receiver operator characteristics (AUROCs), which describes the model’s ability to distinguish between surviving and non-surviving horses, were ranged from acceptable to excellent (0.7-0.9).
  • The sensitivity of the model, which is its ability to correctly identify those who survived, was excellent (ranging from 91% to 100%).
  • The specificity of the model, its ability to correctly identify those who did not survive, was poor to fair (ranging from 8% to 50%).

Conclusion

  • The researchers concluded that arterial blood samples could contribute significantly to predictions about survival based on the type of colic. However, the study was not as accurate in predicting the horses that did not survive until hospital discharge.

Cite This Article

APA
Milner PI, Bardell D. (2025). Can Arterial Blood Gas, Electrolyte and Acid-Base Analysis at Admission be Used to Predict Survival to Hospital Discharge for Different Causes of Colic? Vet Med Sci, 11(2), e70210. https://doi.org/10.1002/vms3.70210

Publication

ISSN: 2053-1095
NlmUniqueID: 101678837
Country: England
Language: English
Volume: 11
Issue: 2
Pages: e70210
PII: e70210

Researcher Affiliations

Milner, Peter I
  • Department of Equine Clinical Sciences, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, UK.
Bardell, David
  • Department of Equine Clinical Sciences, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, UK.

MeSH Terms

  • Horses
  • Animals
  • Horse Diseases / mortality
  • Horse Diseases / blood
  • Blood Gas Analysis / veterinary
  • Colic / veterinary
  • Colic / mortality
  • Colic / blood
  • Electrolytes / blood
  • Male
  • Female
  • Acid-Base Equilibrium / physiology

Conflict of Interest Statement

The authors declare no conflicts of interest.

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Citations

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