Bibliographic record
Abstract
Since the advent of neonatal cardiac surgery in the 1970s, an increasing number of patients suffering from congenital heart disease (CHD) have survived into adulthood. In 2010, it is estimated that 1.2 million or 1 in 150 of young adults have some form of CHD in the United States. Current birth, incidence, and survival rate predict an increase in the CHD population between 10,000 and 300,000 patients per year. Data from large adult CHD (ACHD) centers (UCLA, Toronto, Mayo Clinic) show that as many as 50% of these patients with complex physiology are 40 years of age or older and that two-thirds of them can be categorized as medium or high risk to demonstrate signs and symptoms of low cardiac output. As this population ages, it is very likely for hospital-based physicians to encounter such patients in their procedural and/or surgical practice. Risk stratification and interdisciplinary approach in the care of these patients will assure a safe outcome. The assessment of the patient must consider the variable expression of CHD. Because most lesions are "fixed but not cured," the periprocedural practitioner must consider the altered physiology of the heart in context of the physiological challenges of percutaneous and open surgical interventions. The 2008 American Heart Association/American College of Cardiology guidelines for the Management of Adults with CHD establish for the first time a streamlined approach to the care of these patients. This review will apply these guidelines to the patients with ACHD undergoing noncardiac surgery and intervention.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.230 | 0.065 |
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".