Effect of enhanced external counterpulsation treatment on mean platelet volume in patients affected by ischemic chronic heart failure
Bibliographic record
Abstract
Mean platelet volume (MPV) is increased in chronic heart failure (CHF) and is an independent predictor of mortality in CHF patients. It is not known whether enhanced external counterpulsation (EECP) therapy leads to decreased MPV values or not. The purpose of this study was to examine the effects of EECP on platelet count and MPV values and to assess the influence of MPV on the risk of death and recurrent ischemic events in ischemic CHF patients. A total of 68 ischemic heart failure patients with CHF symptoms and refractory angina pectoris were included in the study, 47 consecutive patients (39 males and eight females) aged 44-82 years. Although follow-up period started after completion of EECP in treated patients, control group follow-up started at the end of 7-week treatment without EECP. All patients were monitored for a mean duration of 13 ± 8 months (range, 1-36 months). The primary endpoints of the study were effects of EECP treatment on platelets after treatment period (7 weeks) and the recurrence of ischemic events. Secondary endpoint was cardiovascular death during the follow-up period. We observed a significant increase in platelet count and decrease in MPV levels (P = 0.044 and P = 0.004, respectively) in the control group. There were no significant differences in platelet count and MPV levels in the EECP group (P > 0.05). After the treatment period, New York Heart Association functional classification (2.60 ± 0.75 vs. 1.72 ± 0.68, P < 0.001) and Canadian Cardiovascular Society functional classification of angina (2.50 ± 0.90 vs. 1.60 ± 0.74, P < 0.001) improved in patients with EECP treatment. In our study, we found that EECP therapy had a neutral effect on MPV values and platelet count.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".