Comparison of patient comfort after coronary angiography by standard arterial access approaches
Bibliographic record
Abstract
BACKGROUND: Radial access during coronary angiography has become an increasingly popular alternative to femoral access. The procedural outcomes and complications of these two approaches have been thoroughly evaluated; however, no studies have focused exclusively on the postprocedural quality of life of patients. AIM: To determine and compare both methods from the patient's point of view. METHODS: Data were gathered from 165 consecutive patients scheduled for elective coronary angiography (from October 2011 to June 2012). The choice of the access site was left at operator's discretion. Femoral and radial groups consisted of 91 and 74 patients, respectively. Quality of life was assessed by the Short Form of the McGill Questionnaire and a self-designed questionnaire (Questionnaire II) consisting of eight questions evaluating the procedure-specific aspects of recovery time. After three months from index hospitalisation post-discharge interviews were conducted using a modified version of Questionnaire II with an additional two questions. RESULTS: Patients from the transfemoral approach group characterised their pain (according to McGill Questionnaire) more often as aching (mean value ± SD: 0.84 ± 1.2 vs. 0.21 ± 0.6; p = 0.003), heavy (0.29 vs. 0.027; p = 0.02), and exhausting (0.22 ± 0.7 vs. 0.07 ± 0.2; p = 0.037). Moreover, in Questionnaire II they indicated tenderness of the puncture site (0.42 ± 0.8 vs. 0.23 ± 0.07; p = 0.00004) more frequently. CONCLUSIONS: The quality of life of patients who underwent coronary angiography from radial access was remarkably better in terms of pain characteristic and overall discomfort.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".