Impact of Cardiac Resynchronization Therapy on Hospitalizations in the Resynchronization-Defibrillation for Ambulatory Heart Failure Trial
Bibliographic record
Abstract
BACKGROUND: This study reports the impact of cardiac resynchronization therapy (CRT) on hospitalizations in patients randomized to implantable cardioverter-defibrillator (ICD) or ICD-CRT in the Resynchronization-Defibrillation for Ambulatory Heart Failure Trial (RAFT). METHODS AND RESULTS: Hospitalization rates and lengths of hospital stay were compared between the 2 groups. At the 18-month follow-up, the numbers of patients hospitalized for any cause were similar in the ICD (n=351, 38.8%) and ICD-CRT (n=331, 30.0%) groups. The number of patients hospitalized for heart failure was significantly lower in the ICD-CRT (n=101, 11.3%) compared with the ICD (n=141, 15.6%; P=0.003) group. The number of patients hospitalized for a device-related indication was similar in the ICD-CRT group (n=147, 16.4%) and ICD group (n=126, 13.9%; P=0.148). The total number of hospitalizations for any cause (n=1448 versus n=1553; P=0.042), any cardiovascular cause (n=667 versus n=790; P=0.017), and any heart failure cause (n=385 versus n=505; P<0.0001) was significantly lower in ICD-CRT group compared with the ICD group, whereas the number of hospitalizations for device-related causes was significantly higher in the ICD-CRT group compared with the ICD group (246 versus 159; P<0.001). Although the reduction in hospitalizations for heart failure in the CRT-ICD group was offset by an increased number of hospitalizations for device-related indications, the length of hospital stay for any cause was significantly shorter in the ICD-CRT group (8.83±13.30 days) compared with the ICD group (9.59±14.40 days; P=0.005). CONCLUSION: ICD-CRT therapy significantly reduces hospitalizations and total days in hospital in patients with New York Heart Association class II/III heart failure compared with ICD therapy despite increased admissions for device-related indications. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00251251.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".