Multicomponent intervention for frail and pre‐frail older adults with acute cardiovascular conditions: The <scp>TARGET‐EFT</scp> randomized clinical trial
Bibliographic record
Abstract
BACKGROUND: Hospitalization for cardiovascular disease (CVD) may be complicated by hospital-acquired disability (HAD) and subsequently poor health-related quality of life (HRQOL). While frailty has been shown to be a risk factor, it has yet to be studied as a therapeutic target to improve outcomes. OBJECTIVES: This trial sought to determine the effects of an in-hospital multicomponent intervention targeting physical weakness, cognitive impairment, malnutrition, and anemia on patient-centered outcomes compared to usual care. METHODS: A single-center parallel-group randomized clinical trial was conducted in older patients with acute CVD and evidence of frailty or pre-frailty as measured by the Essential Frailty Toolset (EFT). Patients were randomized to usual care or a multicomponent intervention. Outcomes were HRQOL (EQ-5D-5L score) and disability (Older Americans Resources and Services score) at 30 days post-discharge and mood disturbances (Hospital Anxiety and Depression Scale) at discharge. RESULTS: The trial cohort consisted of 142 patients with a mean age of 79.5 years and 55% females. The primary diagnosis was heart failure in 29%, valvular heart disease in 28%, ischemic heart disease in 14%, arrhythmia in 11%, and other CVDs in 18%. The intervention improved HRQOL scores (coefficient 0.08; 95% CI 0.01, 0.15; p = 0.03) and mood scores (coefficient -1.95; 95% CI -3.82, -0.09; p = 0.04) but not disability scores (coefficient 0.18; 95% CI -1.44, 1.81; p = 0.82). There were no intervention-related adverse events. CONCLUSION: In frail older patients hospitalized for acute CVDs, an in-hospital multicomponent intervention targeted to frailty was safe and led to modest yet clinically meaningful improvements in HRQOL and mental well-being. The downstream impact of these effects on event-free survival and functional status remains to be evaluated in future research, as does the generalizability to other healthcare systems. CLINICAL REGISTRATION NUMBER: NCT04291690.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".