Technical Note: Therapeutic Cessation of Lactation of Staphylococcus aureus-Infected Mammary Quarters
Bibliographic record
Abstract
The objective of the present study was to compare the ability of chlorhexidine and povidone-iodine to cause cessation of lactation in Staphylococcus aureus-infected mammary quarters, assess milk production in the treated quarter in the subsequent lactation, and evaluate whether microbiological cure was obtained. Fourteen mid- to late-lactation Holstein-Friesian dairy cattle from the Washington State University dairy herd with single mammary quarter S. aureus intramammary infections were studied. Cows were randomly assigned to one of two treatment groups, povidone-iodine or chlorhexidine. Cows in the povidone-iodine group were infused with 120 ml of 5% povidone-iodine solution (0.5% iodine) after complete milk-out. Chlorhexidine-treated cows were infused with a proprietary chlorhexidine suspension after two milkings 24 h apart. Treated mammary quarters were not milked for the rest of the lactation. Milk production from each mammary quarter (kg of milk/quarter) was measured using in-line volume flow meters for 5 consecutive days before treatment and again at the start of the subsequent lactation. Povidoneiodine caused permanent cessation of lactation in the treated quarter, whereas 71% of the chlorhexidine-treated mammary quarters returned to function in the subsequent lactation. Hence, if the primary objective is to eliminate the mammary quarter from lactation, and thereby presumably lower the risk of herdmates acquiring new S. aureus intramammary infection, then povidone-iodine appears to be the best of the two methods. No difference in total milk production between lactation one and two in either group was found, suggesting that permanent loss of a quarter was not detrimental to overall milk production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".