Infective Endocarditis in Pregnancy: Unveiling the Challenges, Outcomes, and Strategies for Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Infective endocarditis (IE) is a serious and potentially fatal infection affecting cardiac endothelium and valves, with a significant increase in its incidence. This comprehensive review aims to discuss the challenges of diagnosing and managing IE during pregnancy, highlighting the absence of research and randomized clinical trials. Despite its low occurrence, IE in pregnancy is associated with significant maternal and fetal mortality rates, often complicated by prematurity. This review covers the physiological changes during pregnancy that can mask the symptoms of IE and the epidemiological shift in risk factors, including the rise in opioid addiction and the use of cardiac devices. It also sheds light on the specific microorganisms responsible for most IE cases. This paper involved a detailed search of PubMed databases, focusing on studies related to IE in pregnant patients, including those addressing fetal and maternal outcomes. It highlights the diagnostic challenges posed by the physiological changes in pregnancy, the impact of IE on maternal and fetal health, and the lack of specific treatment guidelines for pregnant women. We stress on the importance of a multidisciplinary approach to care, aiming to enhance early diagnosis, effective patient care strategies, and overall outcomes for this vulnerable population. Finally, our findings underscore the need for more research and the development of evidence-based guidelines to improve the management of IE in pregnancy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 it