Perioperative Management of Two Pediatric Patients With Hypertrophic Cardiomyopathy Undergoing Minimally Invasive Surgical Procedures
Bibliographic record
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common genetic disease of the heart and remains an important etiology of sudden cardiac death in adolescents and young adults. Autosomal dominant inheritance of a mutation in one of the numerous genes encoding for proteins in the myocardial sarcomere leads to an abnormal myocyte growth pattern with hypertrophy. Perioperative management of patients with HCM for any type of surgical procedure carries an increased risk of morbidity and mortality related to the propensity for arrhythmias and myocardial ischemia. During the perioperative period, myocardial function may be impacted by alterations in preload, afterload, and myocardial contractility related to the surgical procedure, anesthetic agents, and changes in intravascular volume. We present two pediatric patients with a known diagnosis of HCM who presented for non-cardiac, minimally invasive surgical (MIS) procedures. The perioperative implications of HCM are reviewed with particular emphasis placed on the potential cardiovascular alterations induced by the MIS procedure with increases in intra-thoracic or intra-abdominal pressure. J Med Cases. 2016;7(4):115-119 doi: http://dx.doi.org/10.14740/jmc2410w
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".