Bibliographic record
Abstract
St-Elevation Myocardial Infarction (STEMI), commonly an acute, occlusive blood clot in a major epicardial coronary artery, is the most serious of heart attacks, carrying a significant mortality and morbidity, and opening the occluded artery quickly with good distal reflow is the goal for best clinical outcomes. Slow arrival of Emergency Health Services (EHS), a lack of Cathlab availability in underdeveloped and rural areas, poor performance and bleeding risks with thrombolytic drug therapy, and a high rate of poor microvascular re-flow regardless of therapy, have prompted searches for alternative or adjunctive treatments. Mechanical forces or pressure waves imparted to the human body (herein described as “Acoustic Therapies”) have been well studied both in vitro and in catheter-based systems in their abilities to increase blood flow and disrupt and clear blood clots. However, the search for a non-invasive acoustic therapy suitable for first-line response in the treatment of acute thrombotic arterial occlusions, including STEMI, remains elusive. Indeed, due to the vast differences of acoustic penetration windows and variabilities of at-risk adjacent tissues, there has been a historic dilemma of “threading the needle” in finding a workable waveform and mode of delivery that is intense enough to provide adequate penetration with a clot-disruptive effect, while also avoiding harm to the patient. STEMI victims who reach professional care in view of Primary Percutaneous Coronary Intervention (PPCI) or pre-hospital IV thrombolysis, reportedly have a ~ 4-10% resultant in-hospital mortality, with the number approaching 50% if complicated by cardiogenic shock, hence there remains room for improvement. Indeed, acoustic reperfusion for STEMI could foreseeably add particular value as a stand-alone therapy or adjunctive to IV thrombolysis in rural or relatively poor areas where a Cardiac Cathlab is not readily available, as an early warning and treatment system for STEMI patients awaiting EHS, and, importantly, for treatment of the infamous "No-Reflow phenomenon" following PPCI, where many solutions have been tried and failed. This paper provides a history and commentary on the various forwarded non-invasive acoustic STEMI reperfusion strategies to date, including High Frequency diagnostic UltraSound (HFUS) with IV Microbubbles (MBs) - a technique commonly referred to as "Sonothrombolysis", transcutaneous Low Frequency Ultrasound (LFUS), and little-known diastolic timed Low Frequency Vibration (dtLFV), which involves palpable, infrasonic to sonic frequency percussions to the chest wall as a stand-alone measure, or as an adjunct to IV thrombolysis. A discussion is provided on each of these therapies' challenges, how they could fit in the modern paradigm of care, and where they are along their respective research and development pathways.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".