Prevalence and Clinical Correlates of Sleep-Disordered Breathing in Patients Hospitalized With Acute Decompensated Heart Failure
Bibliographic record
Abstract
BACKGROUND: Limited data are available regarding the presence of sleep-disordered breathing (SDB) assessed using polysomnography in patients hospitalized with left ventricular (LV) systolic dysfunction after acute decompensated heart failure (ADHF). We investigated the prevalence and clinical correlates of SDB in patients hospitalized with ADHF and LV systolic dysfunction. METHODS: Prospectively collected data from 105 consecutive patients with an LV ejection fraction < 50% who were hospitalized with ADHF from May 2012 to July 2014 were retrospectively assessed. Polysomnography was performed during the initial hospitalization after the initial improvement in ADHF acute signs and symptoms. The apnea-hypopnea index (AHI), including obstructive or central AHI, was computed as a severity of obstructive or central sleep apnea. Echocardiography and blood sampling for various parameters, such as B-type natriuretic peptide level, were performed systematically. RESULTS: The proportions of patients with an AHI ≥ 5 events per hour and those with an AHI ≥ 15 events per hour were 93% and 69%, respectively, and central sleep apnea was predominant (66% and 44%, respectively). In the multivariate analysis, only body mass index (BMI) was independently correlated with AHI, whereas age, BMI, and E/e' level were independently correlated with obstructive AHI. In addition, use of loop diuretics and E/e' level were independently correlated with central AHI. CONCLUSIONS: SDB determined using polysomnography was common in hospitalized patients with ADHF and LV systolic dysfunction. Age, BMI, and E/e' levels were significantly correlated with obstructive sleep apnea severity, whereas E/e' levels and use of loop diuretics were significantly correlated with central sleep apnea severity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".