Noninvasive Predictors of Coronary Slow Flow Phenomenon in Patients Presenting with Chronic Coronary Syndrome
Bibliographic record
Abstract
Background: Patients with coronary slow flow phenomenon (CSFP) exhibit the following characteristics: Predominantly middle-aged males, the majority have mixed pattern angina, persistent chest pain sensations after therapy, and many have had repeated invasive and non-invasive examinations. Objectives: Our study aimed to determine the base of non-invasive predictors of coronary slow flow phenomenon in patients presenting with chronic coronary syndrome. Patients and Methods: This a case-control study included 100 participants of suspected coronary artery disease were divided into two groups matched in age and sex group I: 50 patients with primary CSFP and group II: 50 patients with normal coronary angiography. Each patient was undergoing to demographic data taking, physical investigation, good hydration, restrict fasting hours requested for coronary angiography, 12 lead-Electrocardiogram (ECG)s were obtained for each patient at rest, laboratory parameters, coronary angiography, treadmill exercise ECG, transthoracic echocardiography to assess the thickness of the left ventricle’s (LV) wall, its interior dimensions, as well as the LV’s ejection fraction (EF) using M-mood method and the aortic propagation velocity. Results: male sex and the Canadian Cardiovascular Society Angina grade’s (CCSA) class 3 were significantly decreased in group I compared to group II and male sex, Diabetes mellitus (DM), smoker and CCSA class 4 were substantially increase in group I compared to group II (P <0.05). P wave max, P Wave dispersion (PWd), corrected QT dispersion (QTcd) at resting ECG, T wave inversion and ST Waves segment depression at stress ECG were significantly increase in group I compared to group II. QTc min was significantly lower in group I compared to group II (P <0.05). LA diameter was significantly increased in group I than group II. Aortic propagation velocity was significantly decreased in group I than group II (P <0.05). Hematocrit, total leucocytic count, mean platelet volume and High-sensitivity C-reactive protein (hsCRP) were significantly increase group I compared to group II (P <0.05). Conclusions: Patients suspected of having a coronary artery disease who are diagnosed with coronary slow flow, male sex, dilated LA, CCSA class 3 or 4, elevated hematocrit value, elevated total leucocytic count, increased mean platelet volume, increased HsCRP, P max, PWd, QTcd, T wave inversion, ST segment depression, and decreased aortic propagation were statistically higher in CSFP patient compared to controls.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".