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Record W2508046357 · doi:10.14740/cr476w

ST-Segment Elevation Myocardial Infarction: Door to Balloon Time Improvement Project

2016· article· en· W2508046357 on OpenAlexvenueno aff
Saad Al Bugami, Jamilah AlRahimi, Abdullah Almalki, Farqad Alamger, Ahmed Krimly, Wail Al Kashkari

Bibliographic record

VenueCardiology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDoor-to-balloonConventional PCIPercutaneous coronary interventionMyocardial infarctionEmergency departmentChest painCardiologyAcute coronary syndromeInternal medicineCardiac catheterizationSingle CenterEmergency medicineBalloonST elevationST segmentCath lab

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this quality improvement project was to evaluate prospectively the causes of delay for patients with acute ST-segment elevation myocardial infarction (STEMI) requiring primary percutaneous coronary intervention (PCI) upon arrival at the emergency department (ED) and implement recommendations to reduce delays and analyze the impact of recommendations to reduce the door-to-balloon (D2B) time in a newly established cardiac center (King Faisal Cardiac Center (KFCC)). Primary PCI has developed as an effective treatment strategy for acute STEMI, the survival rate and patient outcome are however dependent on the time to treatment. The international benchmark for all programs dealing with acute coronary syndrome patients suffering from STEMI has been established as 90 minutes or less from the time the patient arrives at the hospital to the opening of the affected vessel in the cardiac catheterization laboratory "door-to-balloon time" or D2B. In KFCC during the year 2014, the STEMI, D2B time of ≤ 90 minutes was achieved in 25%. METHODS: We conducted a single center prospective data collection for consecutive patients presenting with STEMI within 24 hours of the onset of chest pain between January 2015 and December 2015. The boundaries of the process began when the patient entered the emergency department and ended when the balloon was inflated during the PCI. Certain well-defined metrics were chosen to drive the change and identify the defect. RESULTS: A total of 37 patients presented with STEMI. The number of patients who achieved the target D2B time ≤ 90 minutes was 20 (54%). Nine patients (24.4%) had D2B time between 91 and 120 minutes and eight patients (21.6%) beyond 120 minutes. The delays were due to late identifications of patients with chest pain as well as in obtaining ECG, activation and transport to the catheterization laboratory. CONCLUSION: There was a measurable improvement up to 54%. Several factors have contributed to the delays in achieving the goal standard of above 90%; these include late identifications of patients with STEMI, delays in obtaining the ECG, activation of the catheterization laboratory and delay of patients' transportation.

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 imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.063
GPT teacher head0.389
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

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