Abstract 20897: Patient-Reported Outcomes in Tetralogy of Fallot: Baseline Results From a Prospective, International, Multi-Site Study
Bibliographic record
Abstract
Introduction: In addition to understanding causes of morbidity and mortality following tetralogy of Fallot repair (rTOF), the importance of patient-reported outcomes (PROs) such as quality of life (QOL) is increasingly being recognized. Hypothesis: We hypothesized that PROs in rTOF would be associated with selected sociodemographic factors, functional status, and/or clinical variables. Methods: As part of a prospective study of patients ≥12 years with rTOF and significant pulmonary regurgitation, participants completed PRO surveys: SF-12 Health Status (physical component summary [PCS] and mental component summary [MCS] t-scores), EQ-5D (5 dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression), and a 0-100 QOL linear analogue scale (QOL-LAS). With multivariable regression analysis, we determined the association between PROs and selected predictors. Results: We studied n=627 participants (55% male, 26±13 years, 75% adult) at 14 sites (North America, Europe and Asia). Median age at repair was 1.6 years (IQR 0.6, 4.2). In general, scores on the SF-12 and QOL-LAS suggested good outcomes: SF-12 PCS <18 years 52±6 and ≥18 years 51±9; SF-12 MCS <18 years 52±9 and ≥18 years 49±10; QOL-LAS <18 years 83±14 and ≥18 years 78±16. On the EQ-5D, difficulties were reported with usual activities (16%), pain (25%) and anxiety/depression (38%). In multivariable regression analysis, younger age at enrollment emerged as an independent predictor of better physical health status and worse mental health status (p=0.0005 and p=0.029, respectively), but not QOL. Better NYHA functional class was a predictor of better SF-12 PCS and MCS (p<0.0005 and p=0.002) as well as better QOL (p<0.0001). Other factors (including complexity of underlying TOF anatomy, previous shunt palliation and need for arrhythmia intervention) were not associated with PROs. Conclusions: Age and NYHA functional class at enrollment were found to be predictors of PROs in rTOF. While global measures of health status and QOL (SF-12 and QOL-LAS) suggest relatively good PROs, this study demonstrates the importance of inquiring about specific health problems (EQ-5D) to achieve a richer understanding of PROs in order to potentially maximize patient well-being.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".