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Record W141374139

Patients admitted with an acute coronary syndrome (ACS) in New Zealand in 2007: results of a second comprehensive nationwide audit and a comparison with the first audit from 2002.

2010· article· en· W141374139 on OpenAlexaboutno aff
Chris Ellis, Greg Gamble, Andrew Hamer, Michael Williams, P. Matsis, John F. Elliott, Gerard Devlin, Mark Richards, Harvey D. White

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionAcute coronary syndromeUnstable anginaConventional PCIAuditMyocardial infarctionInternal medicineEmergency medicineCanadian Cardiovascular SocietyCardiologyCardiac catheterisationAngina
DOInot available

Abstract

fetched live from OpenAlex

AIMS: To audit all patients admitted to a New Zealand (NZ) Hospital with an acute coronary syndrome (ACS) over a 14-day period, to assess their number, presentation type and patient management during the hospital admission and at discharge. To compare patient management in 2007 with the 1st NZ Cardiac Society ACS Audit from 2002. METHODS: We updated the established NZ ACS Audit group of 36 hospitals to 39 hospitals now admitting ACS patients across New Zealand. A comprehensive data form was used to record individual patient information for all patients admitted between 00.00 hours on 14 May 2007 to 24.00 hours on 27 May 2007. RESULTS: 1003 patients, 9% more than in 2002 (n=930), were admitted with a suspected or definite ACS: 8% with a ST-segment-elevation myocardial infarction (STEMI), 41% with a non-STEMI (NSTEMI), 33% with unstable angina pectoris (UAP), and 17% with another cardiac or medical condition. In 2007 non-invasive risk stratification following presentation remained similar to 2002 and was suboptimal: exercise treadmill tests (21% vs 20%, p=0.62), echocardiograms (19% vs 20%, p=0.85). An increase in utilisation of coronary angiography was noted (32% vs 21%, p<0.0001). In hospital revascularisation rates remained low in patients with diagnosed ACS (n=828): STEMI (45%), NSTEMI (23%) and UAP (7.3%). In comparison to 2002, changes were noted in revascularisation techniques with percutaneous coronary intervention (PCI) performed in 19% vs 7% (p<0.0001). The use of coronary artery bypass grafting (CABG) remained extremely low: 2.8% vs 3.5% (p=0.20). The use of hospital and discharge medication of proven benefit was also limited. CONCLUSIONS: A collaborative group of clinicians and nurses has performed a second nationwide audit of ACS patients. Despite a small increase in access to cardiac angiography, guideline recommended risk stratification following the index suspected ACS admission with a treadmill test or cardiac angiogram occurred in only 1 in 2 (48%) patients. Furthermore, in patients with a definite ACS, levels of revascularisation are low. (PCI 19%, CABG 2.8%). These aspects of care remain of significant concern and have not substantially changed in 5 years. There remains an urgent need to develop a comprehensive national strategy to improve all aspects of ACS patient management.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.326
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.259
Teacher spread0.240 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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