Impact of Preoperative STEMI on Postoperative Recovery and Complications Following Cardiac Surgery
Bibliographic record
Abstract
Background: Comprehensive perioperative management strategies are advised for patients undergoing cardiac surgery who have a history of preoperative ST-segment elevation myocardial infarction (STEMI) because these patients have a higher risk for adverse postoperative outcomes. This systematic review explored the influence of preoperative STEMI on postoperative recovery and complications in cardiac surgery patients. Methods: A systematic search of PubMed, MEDLINE, EMBASE, and Cochrane Library databases was conducted following the Preferred Reporting Items for Systemic Reviews and Meta-analyses (PRISMA) guidelines. Studies published between 1990 and 2024 were screened for inclusion based on predefined criteria. A total of 420 studies were initially identified, and eight studies, encompassing 1741 patients undergoing coronary artery bypass grafting (CABG), were included in the review. Two independent reviewers performed data extraction, and the quality of studies was assessed using the Newcastle–Ottawa scale. Key findings from each study were narratively synthesized to explore common themes and outcomes related to postoperative mortality, major adverse cardiac events (MACEs), and complications. Results: Of the 420 initially identified studies, eight met the inclusion criteria. Across these included studies, STEMI patients demonstrated higher postoperative mortality rates and increased incidence of MACEs compared to other cardiac surgery patients. Complications such as renal failure were particularly prevalent in patients with preoperative cardiogenic shock, with up to 50% of these patients requiring intra-aortic balloon pump (IABP) support. Recovery of left ventricular ejection fraction (LVEF) varied, ranging from 0.36 to 0.50, depending on the extent of preoperative myocardial dysfunction and the revascularization strategy employed. Variability in patient demographics, surgical techniques, and clinical settings contributed to differences in reported outcomes across studies. Conclusion: These findings underscore the importance of tailored perioperative strategies and specialized care protocols for STEMI patients undergoing cardiac surgery. By addressing the unique challenges posed by this high-risk group, healthcare providers can improve patient outcomes and reduce the incidence of postoperative complications.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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".