MétaCan
Menu
Back to cohort

Serum cardiac biomarker analysis in dogs with naturally occurring dilated cardiomyopathy

2024· article· W7163737737 on OpenAlexaboutno aff
Ryan MacPherson, Claire Beaumont, Nathan Tremblay

Bibliographic record

VenueInternational Journal of Veterinary Sciences and Animal Husbandry · 2024
Typearticle
Language
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDilated cardiomyopathyNatriuretic peptideHeart failureBiomarkerGold standard (test)TroponinTroponin ICreatine kinase

Abstract

fetched live from OpenAlex

Identifying dilated cardiomyopathy (DCM) in dogs before the onset of congestive heart failure remains one of the most pressing challenges in veterinary cardiology. Physical examination and thoracic radiography lack the sensitivity to detect early myocardial dysfunction, and echocardiography while considered the gold standard requires specialist equipment and expertise not available in most general practices. Circulating cardiac biomarkers offer a blood-based screening alternative, but their diagnostic and prognostic value across the spectrum of DCM severity in naturally affected dogs has not been fully defined.This research measured serum concentrations of cardiac troponin I (cTnI), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and creatine kinase myocardial band (CK-MB) in 60 dogs: 38 with echocardiographically confirmed DCM classified by the American College of Veterinary Internal Medicine (ACVIM) staging system (Stage B1, n = 11; Stage B2, n = 14; Stage C, n = 13) and 22 breed-matched healthy controls. Dogs were recruited prospectively at the Toronto Metropolitan University of Veterinary Medicine Cardiology Service between March 2021 and September 2023. Blood was collected at the time of echocardiographic assessment, and biomarker concentrations were measured using validated immunoassay platforms.All three biomarkers were significantly elevated in DCM dogs compared with controls (P<0.001 for each). Median cTnI was 0.62 ng/mL (interquartile range [IQR] 0.21–1.47) in the DCM group versus 0.04 ng/mL (IQR 0.02–0.07) in controls. Median NT-proBNP was 1,847 pmol/L (IQR 786–4,218) in DCM dogs versus 312 pmol/L (IQR 198–441) in controls. CK-MB was mildly elevated in DCM dogs (mean 14.7 ± 6.3 U/L vs 7.2 ± 2.1 U/L; P<0.01) but showed lower discriminatory power than the other two markers. A stepwise increase in both cTnI and NT-proBNP was observed across ACVIM stages, with the steepest rise occurring between Stage B2 and Stage C. Serum cTnI correlated positively with left ventricular internal diameter in diastole (LVIDd; r = 0.73; P<0.001) and negatively with fractional shortening (r = ?0.68; P<0.001). ROC analysis showed that cTnI at a cut-off of 0.10 ng/mL had a sensitivity of 92.1% and specificity of 90.9% for distinguishing DCM dogs from controls (AUC = 0.95), while NT-proBNP at 550 pmol/L achieved sensitivity of 86.8% and specificity of 86.4% (AUC = 0.91).These findings support the use of cTnI as a first-line screening biomarker for occult and overt DCM in predisposed breeds, with NT-proBNP providing complementary information on the degree of myocardial wall stress. A combined biomarker panel may offer the most robust approach to early detection and severity stratification in clinical practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.324
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Veterinary Sciences and Animal HusbandrySame topicCardiovascular Conditions and TreatmentsFrench-language works237,207