Impact of Paroxysmal Supraventricular Tachycardia on Pregnancy Outcomes
Bibliographic record
Abstract
Background Paroxysmal supraventricular tachycardia (PSVT) is one of the most common arrhythmias in pregnant women. However, studies investigating the risk of PSVT in pregnancy are lacking. In pregnancy, we aimed to determine the: 1) proportion of women presenting with new-onset PSVT; 2) impact of prior PSVT history on episode severity and management; and 3) rate of adverse maternal and fetal/neonatal outcomes associated with PSVT. Methods Retrospective case-control study: 77 consecutive pregnancies in 75 women referred to the St. Paul's Hospital Cardiac Obstetrics Clinic (2010-2022) with a history or new presentation of PSVT. Maternal obstetric and fetal/neonatal adverse outcomes were compared to a healthy control group. Results Sixty-three pregnancies (82%) had a history of PSVT and 14 (18%) were new-onset in pregnancy. Sixty-eight percent of those with PSVT history had recurrence in pregnancy. Women with a recent history of PSVT within 5 years of pregnancy were more likely to experience recurrence compared to women with a remote history (81% vs. 31%, p<0.001). This group also experienced more frequent PSVT during pregnancy and increased rates of chemical cardioversion (38% vs. 13%, p=0.05). There were similar rates of adverse obstetric (8% vs. 2%, p=0.24) and fetal/neonatal outcomes (17% vs. 19%, p=0.72) between the PSVT group and controls. Conclusions PSVT events were safely managed in pregnancy with similar obstetric and fetal/neonatal outcomes as controls. However, recurrence of PSVT during pregnancy is frequent and leads to management complexities among those with a history, reinforcing the need for pre-pregnancy counselling and catheter ablation for definitive management.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".