Current PTCA practice and clinical outcomes in The Netherlands: the real world in the pre-drug-eluting stent era
Bibliographic record
Abstract
AIMS: To document the practice of interventional cardiology and the clinical restenosis rate, as well as the risk factors for clinical restenosis in an unselected population of patients in daily practice and to provide a perspective for the need of new devices such as drug-eluting stents. METHODS AND RESULTS: A total of 3177 consecutive patients, who underwent successful percutaneous transluminal coronary angioplasty (PTCA) in the Netherlands, were included. Patients with acute myocardial infarction were excluded. The pre-defined end-point of clinical restenosis was defined as cardiac death, myocardial infarction and revascularisation of the target vessel. Follow-up (9.6 months, IQR 3.9) was complete in 3146 (99.3%) patients with a mean age of 62.1+/-10.7 years. Of them 896 (28.5%) were female, 459 (14.6%) had diabetes and 1459 (46.4%) had multi-vessel disease. Most patients (2105, 66.9%) were treated for stable angina. Of all patients, 819 (26.0%) were treated for multiple lesions, 2340 (74.4%) underwent stenting and 820 (26.1%) received glycoprotein IIb/IIIa inhibitors. All stented patients received life-long aspirin and ticlopidin/clopidogrel during at least 1 month after the procedure. Target vessel revascularisation during follow-up by either coronary artery by-pass grafting (CABG) or PTCA was necessary in 304 patients (9.7%). Thirty-three (1.1%) patients died of cardiac disease and 22 (0.7%) patients suffered from myocardial infarction (MI) attributable to the originally treated vessel. Overall, the need for revascularisation, or the incidence of cardiac death or MI occurred in 346 patients (11.0%), at 9 and 12 months these event-rates were 10.2% and 12.0%, respectively. Diabetes, hypertension, peripheral vessel disease, multi-vessel disease and treatment of type C lesions prevailed as independent risk factors for clinical restenosis. Longer stents and smaller minimal stent diameter were risk factors for in-stent stenosis. CONCLUSION: In this unselected series of consecutive patients treated for stable and unstable angina in everyday clinical practice in the pre-drug-eluting stent era, clinical restenosis after 9 and 12 months follow-up of the patients occurred in 10.2% and 12.0%, respectively. The risk varies from 8.3% to 17.6% depending on the number of risk factors. A proper selection of patients that benefit from new devices warranted, since the vast majority are well-treated with standard techniques and proper assignment of expensive new devices is obviously of importance for overall health care.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.002 |
| 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".