Weight Bearing Index Is Associated With Length of Hospital Stay in Patients Undergoing Cardiac Surgery
Bibliographic record
Abstract
Background: It has been reported that weight bearing index (WBI) is associated with rehabilitation; however, there are few reports about its association with the length of hospital stay in patients who have undergone cardiac surgery. Methods: We registered 108 patients who did not have preoperative contraindication of exercise and underwent both cardiac surgery and cardiac rehabilitation from April 2017 to May 2022 at Fukuoka University Hospital. We excluded seven patients whose hospital stays were prolonged due to severe infection or unstable hemodynamics after cardiac surgery. We investigated patient background, laboratory, respiratory, and echocardiographic examinations, physical functions, periprocedural complications, and postoperative outcomes. We divided the patients into two groups according to a cutoff value for walking (0.45 kgf/kg WBI). Results: . The low WBI group consisted of 48 patients and the preserved WBI group consisted of 60 ones. The patients in the low WBI group showed a lower percentage of male. With regard to physical functions, grip strength, one-leg standing time, the Short Physical Performance Battery score, 10-m walking speed, walking distance for 2 min both pre- and post-cardiac surgery in the low WBI group were significantly low. After cardiac surgery, the New York Heart Association (NYHA) classification was high, and the strength of exercise tolerance at discharge was low in the low WBI group. There were no significant differences in the progression of cardiac rehabilitation until walking between the groups, but the length of hospital stay in the low WBI group was significantly long. WBI was an independent predictor of the length of hospital stay in a logistic regression analysis. Conclusions: Preoperative WBI was associated with physical functions, NYHA classification, and length of hospital stay. Preoperative WBI could be a simple marker for detecting postoperative outcomes.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".