Previous Creatinine Levels Safely Predict Amantadine Dose for Influenza a Outbreak Control
Bibliographic record
Abstract
BACKGROUND: Amantadine, an antiviral agent, is the only drug currently approved in Canada for prophylaxis of influenza A virus infection. To minimize side effects, the amantadine dose is adjusted for age and estimated creatinine clearance (CrCl) based on plasma creatinine (Cr) levels. As amantadine is used more frequently for influenza A outbreak control in care facilities for elderly people, physicians are increasingly called on to prescribe it for residents and to consider the necessity of requesting plasma Cr levels. OBJECTIVE: To determine whether previous Cr levels are predictive in estimating current CrCl and safe amantadine dose determination. DESIGN AND SETTING: Residents' charts were reviewed in two facilities in Vancouver, British Columbia. CrCl estimated using previous or current Cr results, current weight and age, as well as recommended amantadine doses based on Canadian National Advisory Committee on Immunization guidelines, were studied. RESULTS: 165 charts with Cr results in March 1998 were included; 122 had results before March 1998, and 103 had Cr results after March 1998. Pearson's correlation coefficient for CrCl estimated from current and previous Cr values was 0.929 for results less than six months previously, 0.974 for six to 12 months previously and 0.952 for 12 to 18 months previously. The same or a more conservative dose of amantadine was predicted in 92% of cases when using a Cr result taken within the previous year and in 76% of cases when using a Cr result taken 12 to 18 months previously. CONCLUSION: In long term care facilities, Cr levels measured up to 12 months previously can usually safely be used to estimate CrCl. Using previous Cr results permits advance preparation of doctor's orders for amantadine prophylaxis and avoids repeating Cr testing on every resident when an outbreak occurs, reducing related staff time and cost.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".