Revision: review of non-elective hospitalisations of adults with CHD
Bibliographic record
Abstract
Introduction The adult CHD population is increasing and ageing and remains at high risk for morbidity and mortality. In a retrospective single-centre study, we conducted a comprehensive review of non-elective hospitalisations of adults with CHD and explored factors associated with length of stay. METHODS: We identified adults (⩾18 years) with CHD admitted during a 12-month period and managed by the adult CHD service. Data regarding demographics, cardiac history, hospital admission, resource utilisation, and length of stay were extracted. RESULTS: There were 103 admissions of 91 patients (age 37±10 years; 52% female). Of 91 patients, 96% had moderate or complex defects. Of 103 admissions, 45% were through the emergency department. The most common reasons for admission were arrhythmia (37%) and heart failure (28%); 29% of admissions included a stay in the ICU. The mean number of consultations by other services was 2.0. Electrophysiology and anaesthesiology departments were most frequently consulted. After removing outliers, the mean length of stay was 7.9±7.4 days (median=5 days). The length of stay was longer for patients admitted for heart failure (12.2±10.3 days; p=0.001) and admitted directly to the ward (9.6±8.9 days; p=0.009). CONCLUSIONS: Among non-electively hospitalised adults with CHD in a tertiary-care centre, management often entails an interdisciplinary approach, and the length of stay is longest for patients admitted with heart failure. The healthcare system must ensure optimal resources to maintain high-quality care for this expanding patient population.
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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 | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.015 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".