Retrospective Evaluation of Hematological Ratios in Dogs With Nonassociative Immune-Mediated Hemolytic Anemia: 206 Cases
Bibliographic record
Abstract
BACKGROUND: The utility of hematological ratios in immune-mediated hemolytic anemia (IMHA) in dogs has seldom been investigated. HYPOTHESIS: Hematological ratios are associated with disease severity and outcome in dogs with IMHA. ANIMALS: Two hundred and six client-owned dogs with non-associative IMHA. METHODS: Retrospective multicenter study. Medical records were reviewed to identify dogs with non-associative IMHA. The neutrophil-to-lymphocyte (NLR), neutrophil-to-monocyte (NMR), band neutrophil-to-segmented neutrophil (BNR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR), neutrophil-to-platelet (NPR) and red blood cell distribution width-to-platelet (RDWPR) ratios were retrospectively calculated. Their association with hematological variables, number of blood transfusions, and survival at discharge, 1 month, and 6 months was evaluated. RESULTS: Of the 206 dogs included, 164 (80%, 95% confidence interval [CI]: 74-85), 144 (70%, 95% CI: 64-76), and 114 (55%; 95% CI: 48-62) were alive at discharge, one month, and six months, respectively. The hematological ratios were not associated with survival at any time point, regardless of treatment before referral. Only the RDWPR was associated with blood product requirement (odds ratio [OR], 0.70; 95% CI: 0.54-0.91; p < 0.01). Dogs that had received glucocorticoids before referral had a higher 1-month mortality rate compared with glucocorticoid-naïve dogs (73% and 67%, respectively; OR, 2.2; 95% CI: 1.1-4.5; p = 0.03). CONCLUSIONS AND CLINICAL IMPORTANCE: Hematological ratios had limited value in predicting outcome or disease severity in a large population of dogs with non-associative IMHA. Glucocorticoid treatment before referral was independently associated with decreased survival, likely reflecting selection bias toward dogs with more severe disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".