Evidence map›Paper›PMID 39690128›Full record

ArticleJournal of veterinary internal medicine

Retrospective cohort study on diseases and risk factors associated with death in hospitalized neonatal foals.

Donatienne L Castelain, Alexander Dufourni, Mathilde L Pas, Jade Bokma, Eva de Bruijn, Ellen Paulussen, Laurence Lefère, Gunther van Loon, Bart Pardon

Abstract read
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Donatienne L CastelainDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0002-0515-2287
Alexander DufourniDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0003-0850-5989
Mathilde L PasDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0003-3546-1328
Jade BokmaDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0002-8854-1041
Eva de BruijnDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.
Ellen PaulussenDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0002-4012-2841
Laurence LefèreDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.
Gunther van LoonDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0001-5191-5241
Bart PardonDepartment of Internal Medicine, Reproduction and Population Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium.ORCID https://orcid.org/0000-0003-1026-8433

Funding

FOD Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu RF 21/6351Ghent University
6 · The paper itself

Abstract

backgroundThe care of sick neonatal foals is labor-intensive and costly. Prediction of risk of death upon admission is often difficult but might support decision-making.

objectivesTo determine diseases and risk factors associated with death in neonatal hospitalized foals. ANIMALS: Two hundred twenty-two hospitalized foals, ≤7 days old.

methodsRetrospective cohort study. Clinical and laboratory variables were evaluated for their association with death by means of Cox survival analysis and by classification and regression tree (CART) analysis.

resultsMost prevalent diseases were sepsis (43.9%), enteritis (14.0%), and omphalitis (9.0%). Case fatality rate was 33.3%. Neonatal sepsis significantly increased the risk of death (hazard ratio [HR] = 1.9; 95% confidence interval [CI] = 1.2-3.0; P = .009). Multivariable Cox regression in foals ≤7 days old revealed comatose mental state (HR = 2.9; 95% CI = 1.1-8.1; P = .04), L-lactatemia (≥373.8 mg/L [4.2 mmol/L]; HR = 4.4; 95% CI = 1.7-11.7; P = .003) and increased serum amyloid A (SAA; ≥2054 μg/mL; HR = 3.9; 95% CI = 1.2-12.7; P = .02) as risk factors for death, with a sensitivity and specificity of 7.5% and 95.7%, respectively. The CART analysis highlighted L-lactatemia, comatose mental state, and hypercapnia as risk factors for death, with a sensitivity of 38.1% and specificity of 86.1% after validation. CONCLUSIONS AND CLINICAL IMPORTANCE: In this study sample, sepsis was associated with the highest risk of death. Identified risk factors such as SAA, L-lactate, and comatose mental state might guide veterinarians and owners in better decision-making for economic or welfare reasons. Frequently measured laboratory variables, such as blood glucose concentration and Immunoglobulin G, were not sensitive and specific enough to provide reliable decision support for survival estimation.

Indexed as

Animals, NewbornHorse DiseasesAnimalsCohort StudiesFemaleHorsesHospitalizationMaleRetrospective StudiesRisk FactorsSepsisblood cultureprognosissepsissepticemiasurvival analysis

Identifiers

PMID39690128
PMCPMC11652109

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Registered trials

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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.