Evidence map›Paper›PMID 42328055›Full record

ArticleFrontiers in veterinary science2026

Evaluation of systemic inflammatory response syndrome criteria in horses with colic associated with acute gastrointestinal disease.

V Biondi, M Pugliese, P Gambadauro, C Faraci, D A Sicuso, G Bruschetta, A Passantino, G Catone, C Vullo

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

V BiondiDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
M PuglieseDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
P GambadauroDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
C FaraciDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
D A SicusoDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
G BruschettaDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
A PassantinoDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
G CatoneDepartment of Veterinary Sciences, University of Messina, Messina, Italy.
C VulloDepartment of Chemical, Biological, Pharmaceutical, and Environmental Sciences, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammatory response syndrome (SIRS) is a severe clinical condition commonly observed in horses with acute gastrointestinal disease associated with colic and is linked to increased risk of organ dysfunction and mortality. Early identification of SIRS and reliable prognostic indicators are essential to improve clinical management. This study aimed to assess the occurrence of SIRS in adult horses with colic, evaluate its association with outcome, and investigate the prognostic value of selected clinicopathological variables. Materials and methods: A total of 41 adult horses admitted for acute gastrointestinal disease were included. Clinical, hematological, and biochemical data were collected at admission. A SIRS score (0-6) was calculated based on temperature, heart rate, respiratory rate, white blood cell count, blood lactate concentration, and mucous membrane characteristics. Horses were classified as SIRS-positive (≥2 criteria) or SIRS-negative. Outcomes were recorded as survivors (SUR) or non-survivors (NSUR). Statistical analyses included group comparisons and linear regression to evaluate associations between variables and survival. Results: SIRS was identified in 58.5% (24/41) of horses. Mortality was significantly higher in the SIRS-positive group (50%) compared to the SIRS-negative group (11.7%). SIRS-positive horses showed increased heart and respiratory rates and significant eosinopenia. Among SIRS-positive horses, non-survivors had significantly higher blood lactate concentrations than survivors ( Conclusion: SIRS is associated with increased mortality in horses with acute gastrointestinal disease. Blood lactate concentration and eosinophil count emerged as relevant prognostic indicators. The combined use of SIRS scoring and selected laboratory parameters may support early risk stratification and clinical decision-making in equine emergency medicine. Further prospective studies are needed to confirm these findings.

Indexed as

clinical and laboratory variablescolic syndromehorsesoutcomesystemic inflammatory response syndrome

Identifiers

PMID42328055
PMCPMC13275441

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.