Peripartum Cardiomyopathy: A Case Report of Mortality From a Rare and Potentially Fatal Condition
Bibliographic record
Abstract
Peripartum cardiomyopathy (PPCM) poses a significant challenge in maternal health, characterized by heart failure with reduced ejection fraction during late pregnancy or early postpartum. Despite advances in understanding PPCM, it remains life-threatening with substantial maternal morbidity and mortality. This article reviews the epidemiology, etiology, diagnostic challenges, management strategies, and outcomes associated with PPCM. A case report of a 29-year-old woman with PPCM is presented, emphasizing the importance of early recognition and tailored management. The patient's presentation was marked by atypical symptoms, including dysuria, lumbar pain, persistent fever, and oral intake intolerance. Despite aggressive medical intervention, the patient experienced a tragic outcome, succumbing to cardiopulmonary arrest within 48 h of admission. This case underscores the challenges in diagnosing and managing PPCM, particularly when presenting with nonspecific symptoms and emphasizes the urgent need for improved diagnostic criteria and therapeutic interventions to mitigate adverse outcomes in affected individuals.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".