Strategies for safe living among lung transplant recipients: a single‐center survey
Bibliographic record
Abstract
BACKGROUND: Lung transplant (LT) recipients are at high risk for infection owing to lifelong immunosuppression and direct communication of the graft with the environment. Guidelines have been established for safe-living strategies after transplantation. We conducted a survey of LT patients to determine compliance with these strategies. METHODS: Adult LT outpatients completed a survey consisting of questions on a 5-point Likert scale with the following categories: hand washing, gardening, respiratory infections, food and water safety, animal contact, travel, and occupation. RESULTS: A total of 194 LT recipients completed the survey (age 54.4 ± 13.3 years; time post transplant 4.76 ± 3.5 years). Regular hand washing was practiced usually or always by 87.6%. Of those who worked with soil/gardened, 70/99 (70.7%) never wore a mask and 15.7% never wore gloves. Pet ownership was common (52%), but most patients used specific precautions during handling. Over one-third of patients continued employment after transplant but, of these, 56% had modified their occupation often because of perceived infectious risks. Most patients were fully compliant with influenza vaccination (92.3%). Patients <40 years of age were less likely to wear long-sleeved clothing in mosquito season (P = 0.002), more likely to handle pet feces (P = 0.005), and less likely to wear a mask with sick contacts (P = 0.021). CONCLUSIONS: We provide important insight into safe-living practices following lung transplantation and identify specific areas and subgroups of patients that could be targeted for enhanced education, with potential significant clinical benefit.
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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 | 0.001 | 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 | 0.000 |
| 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 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".