Prevalence and Correlates of Cardiac Cachexia among Jordanian Patients with Chronic Heart Failure
Bibliographic record
Abstract
BACKGROUND: Cardiac cachexia is considered as an ominous complication that possibly associated with the terminal stages of chronic heart failure as it consumes the protein-calories reserves of the patients.AIMS: The aims of this study were to identify the prevalence, level, and correlates of cardiac cachexia among Jordanian patients with chronic heart failure.METHODS: A cross-sectional design was employed. A convenient sample of 300 chronic heart failure patients was recruited from accessible chronic heart failure patients who regularly visit the cardiac care clinics at two different hospitals that represent two health sectors in Jordan. A self-developed instrument was used to collect the data for the purpose of this study.RESULTS: The mean of the total cachexia score of the sample was 5.88. Cardiac cachexia was detected in 58.7% (n= 176) about half of them were having mild cachexia. The prevalence of cardiac cachexia was 13.15%. There were statistically significant correlation between the total cachexia score and some variables that include the patients’ age, monthly income, and number of years since diagnosed as chronic heart failure patients; however, number of daily smoked cigarettes wasn’t significantly correlated with the total cachexia score.CONCLUSION: Cardiac cachexia has not been widely investigated yet. The findings of this study can be used as a baseline data since this study is the first of its kind conducted at the national and regional level. In addition, this study can be useful for determining effective therapeutic modalities that can be employed on behalf of those patients among the health care team; particularly nurses.
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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 | 0.000 | 0.001 |
| 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".