Incidence, Characteristics and Atherosclerotic Involvement of Coronary Artery Anomalies in Adult Population Undergoing Catheter Coronary Angiography
Bibliographic record
Abstract
BACKGROUND: Coronary artery anomalies (CAAs) are rare disorders of coronary anatomy with varied clinical presentations. There are widespread geographic variations in incidence and patterns of these anomalies, with limited data from North Indian population. We performed a retrospective study to evaluate the incidence, characteristics and atherosclerotic involvement of CAAs in adult population undergoing catheter coronary angiography. METHODS: Serial coronary angiographies performed at our institution over a period of 2.5 years (from January 2017 to June 2019) were retrospectively analyzed. We identified patients with anomalous coronaries and studied their clinical characteristics and angiographic profiles. RESULTS: Among 3,233 coronary angiograms analyzed, CAAs were found in 99 patients with an incidence of 3.06%. Mean age of the patients was 56.2 ± 12.9 years (range: 20 - 86 years), with 74.75% being males and 25.25% females. Split right coronary artery (RCA) was the most common coronary anomaly, being seen in 27 patients; with an angiographic incidence of 0.84%. Dual left anterior descending artery (LAD) was the second most common anomaly and was seen in 22 cases with an angiographic incidence of 0.68%. Absent left main trunk was noted in 14 patients (0.43%). Ectopic origin of RCA from left sinus was seen in 12 patients (0.37%), while ectopic origin of RCA from ascending aorta was seen in four patients (0.12%). Ectopic origin of left circumflex artery (LCX) from right sinus or RCA was noted in 13 patients (0.40%). One patient (0.03%) had a superdominant LAD supplying the posterior descending artery (PDA). Coronary artery fistulae were seen in six patients (0.18%). Significant coronary artery disease (CAD) was seen in 89 of 268 (33.21%) normal vessels, whereas it was seen in 56 of 114 (49.12%) of anomalous vessels. This difference was statistically significant (P = 0.003). CONCLUSIONS: The incidence of CAAs in our study was slightly higher than many of the previous angiographic series. The patterns of coronary anomalies in our study were different from most of the previous studies. Our study had higher incidence of atherosclerotic involvement of anomalous vessels as compared to normal vessels.
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 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 | 0.002 |
| 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".