Abstract 14004: Long Term Outcomes of Ambulatory Outpatient Management of Acute Decompensated Heart Failure in a Heart Failure Specialist Nurse Delivered Consultant Led Unit versus Inpatient Management
Bibliographic record
Abstract
Introduction: Acutely decompensated heart failure (ADHF) usually results in hospitalisation for intravenous diuretics. The safety and efficacy of ambulatory or outpatient management of ADHF by heart failure specialist nurses has not been described before. Methods: This retrospective analysis compared 2 cohorts of consecutive ADHF patients - hospitalised in-patients (IP) versus outpatients (OP) who were treated with bolus intravenous diuretics in a specialist heart failure nurse delivered consultant led OP HF unit (Ambulatory HF Unit -AHFU) with input from various specialties (renal, diabetes, elderly care, chest, pharmacy, palliative, ascitic, pleural teams) from 2016 to 2020. Mean follow-up duration was similar for both groups (IP=46±8.1 months; OP=45.5± 7 months, p=0.1). We compared clinical risk scores using the Get With the Guidelines (GWTG) score, comorbidities using the Charlson Comorbidity Index (CCI) and frailty using the Rockwood Clinical Frailty Index (CFI). Results were expressed as mean±SD, analysed using the Student’s T test and Chi-squared test. Results: 1012 patients were treated in our specialist outpatient AHFU and 1889 patients were hospitalised. Mean number of visits per ambulatory spell was 5.1±-2.2 days and the median dose of furosemide was 220 mg (range 80-480). Average hospital stay for IP was 12.1±5 days. CCI (IP=6.5±2; OP=6.4±1.9; p=0.19) and mean GWTG scores were similar (IP=40.4±7.9; OP=39.9±7.1; p=0.09) between the 2 groups but mean Frailty Index was higher amongst the IP group (IP 5.1±1.2; OP 4.9±1; p=0<0.001). 30 day hospitalisation and mortality (30 day,1 year and overall mortality) were lower in the OP cohorts. Conclusions: Ambulatory management of ADHF using bolus IV diuretics in a heart failure specialist nurse delivered consultant led multidisciplinary unit offers an effective alternative to hospitalisation and also leads to improved outcomes. Frailty Index can help assess suitability for outpatient management of ADHF.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".