Risk Factors and Outcome of Post Fallot Repair Junctional Ectopic Tachycardia (JET)
Bibliographic record
Abstract
BACKGROUND: Junctional ectopic tachycardia (JET) is a common arrhythmia causing hemodynamic impairment following corrective cardiac surgery such as tetralogy of Fallot (TOF) repair. METHODS: We report our experience with postoperative JET following surgical repair of TOF. The retrospective study was done from 2003 to 2012 with a total of 105 patients who underwent TOF repair. These patients' clinical and electrocardiographic data (pre-, intra-, and postoperative) were monitored to identify risk factors for the occurrence of JET and to evaluate the outcome of the affected patients. RESULTS: Incidence-Fourteen patients developed JET, with only four patients going directly from sinus rhythm to JET. In all others, either a transient atrioventricular (AV) block or a junctional rhythm preceded JET, mostly intraoperatively, showing a significant relation ( P = .010). Age-Patients with JET were of younger age ( P = .025) and had longer cardiopulmonary bypass ( P = .044) and aortic cross-clamping times ( P = .038). Increased cost and care-The occurrence of JET was associated with a longer stay in the intensive care unit (ICU) and a prolonged need for inotropic support and mechanical ventilation. Time to rate control correlated with length of ICU and hospital stay. MORTALITY: All JET patients converted into sinus rhythm, one of them died shortly after cessation of JET and two patients subsequently developed a first-degree AV block. CONCLUSION: The occurrence of JET remains an important complication during the initial postoperative period by increasing mechanical ventilation time, the need for inotropic support, and prolonging the length of ICU and hospital stay. Risk factors are younger age, longer aortic cross-clamping/bypass times, and intraoperative arrhythmias.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".