[Initiation mode of ventricular tachyarrhythmias in chronic Chagas' cardiomyopathy].
Bibliographic record
Abstract
AIM: The purpose of this study was to investigate the modes of initiation of malignant ventricular tachyarrhythmias in patients with Chagas' cardiomyopathy (ChC) with an implantable cardioverter-defibrillator (ICD) through the analysis of stored intracardiac electrograms. Specifically, we analyzed the incidence of ventricular arrhythmias preceded by the short-long-short-pattern (sls). METHODS: We analyzed 179 spontaneous malignant ventricular tachyarrhythmias episodes in 15 patients with Chagas' cardiomyopathy with an ICD. The mean cycle length in normal sinus rhythm before initiation of the malignant ventricular tachyarrhythmias, the ventricular tachycardia (VT) cycle length, the prematurity ratio and the number of ventricular premature contractions (VPCs) (single, pairs or multiple) that triggered malignant ventricular tachyarrhythmias were compared between the two different initiation modes. RESULTS: Mean age: 60.4 +/- 5.7 -years-old, mean EF, 33.2 +/- 8.5%, 9 men and 6 women. A sls-pattern was found in 43.5% of the malignant ventricular tachyarrhythmias. Baseline cycle length (795 +/- 16 vs 788 +/- 14 ms), VT cycle length (320 +/- 7.7 ms vs 329 +/- 5.7 ms) and prematurity ratio (0.57 +/- 11 vs 0.60 +/- 12) were similar between sls and non-sls-sequences. Multiple VPCs as a trigger of malignant ventricular tachyarrhythmias was significantly less often in sls-events than in non-sls events (14% vs 40%; P < 0.0001). CONCLUSIONS: In this select population of patients with ChC, we observed a high prevalence of sls-pattern just before initiation of malignant ventricular tachyarrhythmias. Multiple VPCs were often associated with a non-sls trigger mode.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".