Does Warfarin Use Impact Hospital Length of Stay? A Retrospective Study Looking at Patients Treated for Atrial Fibrillation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors received anecdotal practice information from clinicians indicating that when warfarin was initiated in the hospital setting, it may be associated with an increased length of stay (LOS): specifically to achieve a desired minimum international normalized ratio (INR) of 2.0 before discharge in a subset of patients where clinicians perceived follow-up after discharge was not deemed optimal. Given that oral thromboprophylactic anticoagulation with warfarin is the mainstay treatment for the prevention of stroke in atrial fibrillation (AF), the authors decided to look at hospitalized patients from this population to determine if a subset of these patients experienced an increased LOS. The study design entailed a retrospective chart review of consecutive patients admitted to a large, tertiary care, academic center. Patients were included if they were admitted with a primary, secondary, or most responsible diagnosis of paroxysmal or chronic AF. Medical records were audited over an 18-month period (February 1, 2009, to July 31, 2010) to determine the average LOS and to identify patients with a documented prolonged LOS secondary due to subtherapeutic INR at the time of potential discharge. Our final study cohort of 189 patients had an average LOS of 5.2 days (SD = 5.2). However, for eight (4.2%) of these patients discharge was delayed an additional 2.25 days (SD = 1.3) for reasons solely attributed to achieving a therapeutic INR.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it