Severe Angina is Significant Risk Factor in Patients Undergoing the Abdominal Nonvascular Surgery
Bibliographic record
Abstract
Background: Severe angina is significant risk factor in patients undergoing the abdominal nonvascular surgery. Aims: The aim of our study was to prove that the incidence of expected perioperative cardiac complications was significantly higher in the group of severe than in the group of mild angina. Methods: Our prospective observational clinical study included the group of 78 consecutive patients with angiographically verified coronary arterial disease who had angina. Coronary patients underwent open abdominal nonvascular surgery during general anesthesia in University Clinical Center. The patients were classified into stratification subgroups, using the "Canadian Cardiovascular Society" grading of the angina. This subgroups were compared in relation to frequency of perioperative cardiac complications. During operation, and in the following 72 postoperative hours, the patients were monitored by continuous ST-T segment recording. Twelve-lead electrocardiography was performed immediately after the surgery, and on postoperative days 1, 2 and 7 as well as one day before discharge. Cardiac biomarkers were evaluated at 6 hours, 24 hours and 96 hours following the surgery. A non-parametrical Pearson's hi-square test using the contingency tables was used to analyze the data from two subgroups with the level of significance set at 95% (p < 0.05). Results: Significant difference of the the incidence of perioperative cardiac death was found between two evaluated stratification subgroups 15.0% (severe angina) vs 0.0% (mild angina)(p < 0.01). Conclusions: We found high statistical significance of the incidence of perioperative cardiac death between the subgroup of severe angina and the subgroup of mild angina in patients having undergone open abdominal nonvascular surgery during general anesthesia.
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 | 0.001 |
| 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 | 0.001 |
| 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".