Timeliness of reperfusion in ST-segment elevation myocardial infarction and outcomes in Kerala, India: results of the TRUST outcomes registry
Bibliographic record
Abstract
PURPOSE: Transatlantic guidelines endorse quality metrics for timely reperfusion in patients with ST-elevation myocardial infarction (STEMI). Compliance in low- and middle-income countries (LMICs) is largely unknown. STUDY DESIGN: We prospectively evaluated 2928 STEMI patients in Kerala, India, across 16 PCI-capable hospitals who received reperfusion with either primary percutaneous coronary intervention (PPCI) or fibrinolysis. Primary endpoint was a major adverse cardiovascular event (MACE) composite of death, non-fatal myocardial infarction, stroke or readmission for heart failure at 1-year. RESULTS: Among reperfused STEMI patients, 320 (10.9%) received timely reperfusion with either PPCI or fibrinolysis, 1985 (67.8%) received delayed PPCI, and 623 (21.3%) received delayed fibrinolysis. Timely reperfusion had lower unadjusted MACE rates than delayed PCI or fibrinolysis (timely reperfusion: 11.9%, delayed PPCI: 13.6%, delayed fibrinolysis: 23.9%, P < 0.001). Mortality was lowest in the timely reperfusion group (timely reperfusion: 6.3%, delayed PPCI: 7.8%, delayed fibrinolysis 18.8%, P < 0.001). After multivariate analysis, delayed fibrinolysis had a higher MACE rate (HR 1.52 95% CI 1.04-2.21) and mortality (HR 1.97, 95% CI 1.18-3.25) compared to timely reperfusion. Total ischemic time > 3 h and delayed first medical contact-to-needle time predicted MACE at 1 year. CONCLUSIONS: Among STEMI patients in Kerala, India, only one in 10 eligible patients received timely reperfusion. Longer total ischemic times and delayed fibrinolysis were associated with 1-year MACE. Improving timely reperfusion is critical to enhancing STEMI outcomes in LMICs. What is already known on this topic Given the established link between delay to reperfusion and worse major adverse cardiac events (MACE), global efforts have concentrated on minimizing different components of the total ischemic time to improve ST-elevation myocardial infarction (STEMI) outcomes. Compliance in low- and middle-income countries (LMICs) is largely unknown. What this study adds In this cohort of STEMI patients in Kerala, India, total ischemic time and first medical contact-to-needle time correlated with long-term MACE rates, whereas other timeliness indicators did not. How this study might affect research, practice or policy Our study highlights the significant barriers to accessing STEMI care that are prevalent in LMICs despite incremental growth in the number of PCI-capable hospitals. The pre-hospital phase within total ischemic time is the most important quality improvement metric of STEMI care in LMICs, especially for patients chosen for fibrinolysis.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".