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The anion gap as a prognostic indicator in horses with abdominal pain.

Abstract: The anion gap was calculated for each of 90 horses with signs of abdominal pain, using laboratory data obtained shortly after admission. The anion gap was defined as the difference between the sodium concentration (mEq/L) and the sum of the chloride and bicarbonate concentrations. To evaluate the use of the anion gap as a prognostic indicator, the survival rates were calculated for horses whose anion gap concentrations were within various ranges. It was found that the probability of survival decreased as the anion gap progressively increased about 20 mEq/L. The survival rates for increasing ranges of anion gap were as follows: less than 20 mEq/L, 81% survival; 20 to 24.9 mEq/L, 47%; greater than or equal to 25 mEq/L, 0%. Though not of diagnostic significance as to the source of abdominal pain, the anion gap is a suitable prognostic indicator.
Publication Date: 1982-07-01 PubMed ID: 7107490
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  • Journal Article

Summary

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The research evaluates how the anion gap, a measure derived from electrolyte concentrations in the blood, can be used to predict survival rates in horses suffering from abdominal pain.

Introduction

  • The study focuses on the anion gap in horses, which is a blood test that measures the difference between the detected anions (negatively charged ions) and cations (positively charged ions), specifically sodium and a combination of chloride and bicarbonate.
  • The anion gap is not usually applied as a direct diagnostic tool to identify the source of abdominal pain, but it has potential as a prognostic indicator, a tool that predicts the likely progression or outcome of a disease.

Methodology

  • Research involved analyzing the anion gap in 90 horses that displayed signs of abdominal pain, with laboratory data obtained shortly after their admission.
  • The anion gap for every horse was calculated, where anion gap was defined as the difference between the concentration of sodium, and the sum of chloride and bicarbonate concentrations (all in milliequivalents per liter).

Findings

  • The results showed a clear relationship between increases in anion gap and decreases in survival rates.
  • As the anion gap increased past the threshold of 20 mEq/L, probability of survival was observed to drop.
  • Specifically, when the anion gap was less than 20 mEq/L, the survival rate was 81%; at an anion gap of 20 to 24.9 mEq/L, the survival rate fell steeply to 47%, and for anion gaps of 25 mEq/L or higher, there were no observed survivals (0% survival rate).

Conclusion

  • While the anion gap lacks diagnostic utility for pinpointing the exact cause of abdominal pain, it proves valuable as a prognostic tool.
  • Hence, the study concludes that the anion gap could be a meaningful gauge in predicting survival outcome for horses experiencing abdominal pain, especially when the calculated anion gap goes beyond 20 mEq/L.

Cite This Article

APA
Bristol DG. (1982). The anion gap as a prognostic indicator in horses with abdominal pain. J Am Vet Med Assoc, 181(1), 63-65.

Publication

ISSN: 0003-1488
NlmUniqueID: 7503067
Country: United States
Language: English
Volume: 181
Issue: 1
Pages: 63-65

Researcher Affiliations

Bristol, D G

    MeSH Terms

    • Abdomen
    • Acid-Base Equilibrium
    • Acidosis / blood
    • Acidosis / veterinary
    • Animals
    • Bicarbonates / blood
    • Chlorides / blood
    • Horse Diseases / mortality
    • Horses
    • Lactates / blood
    • Pain / mortality
    • Pain / veterinary
    • Prognosis
    • Retrospective Studies
    • Sodium / blood

    Citations

    This article has been cited 4 times.
    1. Bishop RC, Gutierrez-Nibeyro SD, Stewart MC, McCoy AM. Performance of predictive models of survival in horses undergoing emergency exploratory laparotomy for colic. Vet Surg 2022 Aug;51(6):891-902.
      doi: 10.1111/vsu.13839pubmed: 35674231google scholar: lookup
    2. Moore RM, Muir WW, Rush BR. Systemic and colonic venous plasma biochemical alterations in horses during low-flow ischemia and reperfusion of the large colon. Can J Vet Res 1998 Jan;62(1):14-20.
      pubmed: 9442934
    3. Reeves MJ, Curtis CR, Salman MD, Hilbert BJ. Prognosis in equine colic patients using multivariable analysis. Can J Vet Res 1989 Jan;53(1):87-94.
      pubmed: 2914230
    4. Pascoe PJ, Ducharme NG, Ducharme GR, Lumsden JH. A computer-derived protocol using recursive partitioning to aid in estimating prognosis of horses with abdominal pain in referral hospitals. Can J Vet Res 1990 Jun;54(3):373-8.
      pubmed: 2199007