Increased risk of major congenital malformations in early pregnancy use of angiotensin‐converting‐enzyme inhibitors and angiotensin‐receptor‐blockers: a meta‐analysis
Bibliographic record
Abstract
AIMS: To evaluate the risk of adverse fetal outcomes after exposure to angiotensin converting enzyme inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) in first trimester of pregnancy, by conducting a systematic review and meta-analysis. MATERIALS AND METHODS: A systematic literature search was conducted using Medline, Embase, Cochrane and PubMed from inception to 25 November 2019. Studies were included if they evaluated pregnancies exposed to ACE-Is or ARBs, reported fetal outcomes, and compared these outcomes with a control group. Pooled odds ratios (ORs) were estimated using inverse variance-weighted random effects model. The protocol was registered with the PROSPERO International Prospective Register of Systematic Reviews (CRD42020160566). RESULTS: Studies reporting on 6234 pregnancies exposed to ACE-Is or ARBs, 4104 pregnancies exposed to other oral antihypertensives, and 1,872,733 pregnancies without exposure were included in the meta-analysis. ACE-I or ARB exposed pregnancies, compared to non-exposed controls, had higher risk of major congenital malformations (OR 1.82; 95% confidence interval [CI]: 1.42-2.34), cardiovascular malformations (OR 2.50; 95% CI: 1.62-3.87) and stillbirths (OR 1.75; 95% CI: 1.21-2.53). There was no difference in congenital malformations observed between pregnancies exposed to other antihypertensives compared to non-exposed controls (OR 0.96; 95% CI: 0.69-1.33). CONCLUSIONS: Women exposed to ACE-Is or ARBs during early pregnancy had higher risk of adverse fetal outcomes, including malformations and stillbirths, than non-exposed controls. This increased risk was independent of underlying maternal hypertension, as those exposed to other antihypertensives did not exhibit a higher risk than healthy controls. Women planning for pregnancy using these medications, including those with diabetic nephropathy, should be counselled appropriately.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.003 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".