56-69: Frailty syndrome as a valuable factor which influence the survival, mortality and mean life expectancy in patients qualified for CRT
Bibliographic record
Abstract
Frailty is a geriatric syndrome that embodies an elevated risk of catastrophic declines in health and function among older adults. We hypothesized that presence of frailty syndrome can be important part of life of patients with advanced heart failure and what is more important to be a factor of adequate response for treatment like cardiac resynchronization (CRT). Methods: 106 pts (aged > 65 years, 18W) qualified for CRT with heart failure (EF < 35%, left bundle branch block and NYHA ≥ 2) were included. In all frailty was evaluated by using Canadian Study of Health and Aging Clinical Frailty Scale (CSHA-CFS). Values > 5 are recognized as frailty syndrome – patients were divided into 2 groups: frailty (F) and without symptoms of frailty (NF). 1-, 2- and 5-years survival, mortality and mean life expectancy were calculated by validated The Seattle Heart Failure Model (SHFM). Results: In 82 (77.3%) of patients included, frailty syndrome was recognized. Average 1-year survival for patients with frailty syndrome recognized was statistically lower (p= 0,0361) if compare to the patients without frailty syndrome (F: 90.31% vs. NF: 94.7%). Similar, statistical relationships were observed for 2-years (82.40% vs. 89.70%; p = 0,0327) and 5-years (62.92% vs. 75.12%; p = 0,0226). Average 1-year mortality for patients with frailty syndrome was statistically higher (p = 0,0335) if compare to the patients without frailty syndrome (F: 10.69% vs. NF: 5.04%). The same relationships were observed for 2-years (17.62% vs. 10.37%; p = 0,0345) and 5-years (39.63% vs. 24.87%; p = 0,0306). Mean life expectancy for patients with frailty syndrome was not statistically (p = 0.6492) lower (10.11 y) than patients without frailty (11.2y). Correlations between intense of frailty were: survival (1y = -0.3; 2y = -0.3; 5y = -0.34), mortality (1y = 0.25; 2y = 0.31; 5y = 0.26) and mean life expectancy (0.04 NS) – the only value of mean life expectancy was not statistical, the remaining correlations were statistical. CONCLUSIONS: Frailty is a frequent syndrome observed in elder patients with advanced heart failure qualified for CRT. Recognition of frailty may potentially be a valuable factor which influence the survival, mortality and mean life expectancy, however those results should be confirmed on bigger group of patients.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".