CORONARY ANGIOGRAPHIC CHARACTERISTICS OF CORONARY ARTERY DISEASE IN YOUNG ADULTS UNDER AGE FORTY YEARS COMPARE TO THOSE OVER AGE FORTY
Bibliographic record
Abstract
Objective: To compare the coronary angiographic characteristics of coronary artery disease in young patients of less than and equal to 40 years of age with those of more than 40 years of age. Patients and Methods: Observational study conducted from Sept to Jan 2003-2004. A total of 299 patients of Coronary Artery Disease were included in the study. 102 patients were in less than and equal to 40 years of age (group 1) and 197 patients were in greater than 40 years of age (group II).All patients were selected according to inclusion and exclusion criteria. All demographic and clinical variables and laboratory investigations were recorded for each patient. Coronary angiographic characteristics were recorded and analyzed for each group. Results: Study result showed that more patients in group I had single vessel disease than patients in group II 39% vs 15% respectively, which was statistically significant P=0.001, while patients in group II had more double, triple and LM disease as compared to group I 35% vs 20% (P=0.04), 25% vs 12% (P=0.03) and 9% vs 2% (P=0.03) respectively. There was statistically no significant difference between the groups in terms of baseline demographic and clinical variables except for angina class and DM. Group I had more angina class- I patients 51% vs 25% than group II (P=0.003), while group II had more patients with DM 36% vs 14% than in group I (P=0.002). There was no difference between the groups in terms of length of lesions and types of lesions determined by coronary angiography and predilection for invovment. The most common effected vessel was LAD followed by RCA and CX. Conclusion: It is evident from present study that young patients of CAD have less extensive disease. CAD in young person is more prevalent in those who smoke and had deranged lipid profile.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".