A Case of Peripartum Cardiomyopathy Affected by Left Ventricle Thrombus
Bibliographic record
Abstract
Peripartum cardiomyopathy (PPCM) mimicking dilated cardiomyopathy is defined as an idiopathic cardiomyopathy affecting perinatal or postnatal women with no cardiac history. It occurs in 1 in 20,000 births in Japan. A 25-year-old female without cardiology diseases presented to our hospital’s emergency department with upper abdominal pain, exertional dyspnea, and leg edema. One month prior, she gave birth to her first child via vaginal delivery. At 36 weeks of gestation, she was diagnosed with pregnancy hypertension by an obstetrician. Ultrasonography and non-contrast computed tomography were performed and revealed an edematous gallbladder as well as dilated hepatic and inferior jugular veins. Chest X-ray revealed cardiomegaly, lung edema, and pleural effusion. She was diagnosed with congestive heart failure. Transthoracic echocardiogram (TTE) revealed a dilated left ventricle with a reduced ejection fraction (EF) of 17%. Immediately after admission, diuretic agents, including furosemide and carperitide, were administered. Although her heart failure improved with sufficient diuretic treatment, thromboses measuring 16 × 8 and 29 × 11 mm in her left ventricle were revealed by TTE on day 10. Heparin sodium and warfarin potassium were initiated, which reduced the thromboses. Her symptoms improved, although EF was not restored to normal function. She was discharged on day 40 and an outpatient clinic follow-up was scheduled. Long-term prognosis of PPCM is currently unknown, and meticulous follow-up of the patient is required. Here we present a case of PPCM that was affected by a left ventricular thrombus. J Med Cases. 2016;7(12):550-553 doi: https://doi.org/10.14740/jmc2698w
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".