Serum Acute Phase Protein Concentrations in Dogs with Autoimmune Hemolytic Anemia
Bibliographic record
Abstract
BACKGROUND: Serial monitoring of acute phase protein (APP) concentrations in canine autoimmune hemolytic anemia (AIHA) has not been reported. HYPOTHESES: Acute canine AIHA is accompanied by an acute phase response (APR) characterized by increased C-reactive protein (CRP) and alpha1-acid glycoprotein (AAG) concentrations and decreased albumin concentrations. ANIMALS: Twenty-seven dogs with AIHA and 11 control dogs. METHODS: Prospective, cohort study. CRP, AAG, and albumin concentrations, white blood cell (WBC) count, and packed cell volume (PCV) were determined at admission (day 1), every 48 hours until death or discharge, and on days 30, 90, 180, and 365. RESULTS: Compared with controls, CRP and AAG concentrations were increased and albumin concentration was decreased in dogs with AIHA (days 1-7; P < .002) and normalized with disease stabilization (days 9-365; P > .05). APP concentrations on day 1 were not predictive of survival, duration of hospitalization, or number of blood transfusions (P= .153-.940). PCV correlated with APP concentrations over time (CRP r=-.600, AAG r=-.665, albumin r= .533; P < .0001) as did WBC count (CRP r= .253, AAG r= .486, albumin r=-.246; P < .006). Day 1 CRP concentration was lower for dogs that received corticosteroids before referral (115.3 microg/mL) compared with dogs that did not (191.2 microg/mL; P= .02). CONCLUSIONS: An APR occurs in canine AIHA. Initial APP concentrations are not predictive of acute survival, correlate with hematologic markers of remission, and normalize rapidly with disease stabilization.
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 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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".