Frailty, cognition and patient-reported outcomes in middle-aged and older adults with congenital heart disease: insights from an international multicentric study
Bibliographic record
Abstract
Abstract Background Prior research has demonstrated that a significant proportion of older patients with congenital heart disease (CHD) are frail or pre-frail and experience cognitive impairment. However, it remains unclear whether frailty and cognition are related to patient-reported outcomes (PROs) such as perceived health, anxiety and depression symptoms or quality of life in CHD. Purpose The objective of this study was to explore the relationships between frailty, cognitive function, and PROs in middle-aged and older adults with CHD ranging from mild to severe complexity. Methods As part of the cross-sectional ‘Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart disease – International Study II’ (APPROACH-IS II), we enrolled 814 individuals aged 40 years and older (median age: 52.0 years [45.0-61.0]; 51.4% female; 12.7% mild, 70.1% moderate, 17.2% complex CHD; 41.9% pre-frail, 5.8% frail; 38.7% cognitively impaired) across 17 centers in 11 countries. Frailty status was assessed using the Fried criteria, which categorize individuals into robust, pre-frail, and frail based on five factors: weakness, slow gait, unintentional weight loss, exhaustion, and low physical activity levels. Cognitive function was determined using the Montréal Cognitive Assessment. Participants completed questionnaires to evaluate perceived health (RAND-12 Health Survey, yielding both Physical and Mental Component Summaries, and EuroQOL-5D Visual Analog Scale), depressive symptoms (Patient Health Questionnaire-8), anxiety symptoms (General Anxiety Disorder scale-7), and quality of life (QoL Linear Analog Scale). Results Frailty was significantly associated with all PROs, with frail and pre-frail individuals reporting less favorable outcomes (see Figure). Cognitive function was linked to perceived health and anxiety, with patients exhibiting cognitive impairments reporting poorer perceived health and more anxiety symptoms. Conclusion This study indicates that concepts of frailty, cognitive functioning and PROs are closely related in adults with CHD. Frailty and cognition thus represent important domains when developing strategies to optimize PROs in adults with CHD. Moreover, when working with patients who are frail or cognitively impaired, healthcare workers are encouraged to consider and inquire about potential impact on PROs. Longitudinal research is needed to explore the direction of the association.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".