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037 OUTCOME OF 1051 OCTOGENARIANS AFTER PRIMARY PERCUTANEOUS CORONARY INTERVENTION FOR ST ELEVATION MYOCARDIAL INFARCTION: OBSERVATIONAL COHORT FROM THE LONDON HEART ATTACK GROUP

2013· article· en· W1995285270 on OpenAlexaff
Daniel I. Bromage, D AJones, Krishnaraj S. Rathod, Patrick Zhan‐Yun Lim, G Virdi, A.J. Jain, Sundeep Kalra, T Crake, Pascal Meier, Zoë Astroulakis, C Dollery, Mick Ozkor, Roby Rakhit, C Knight, Miles Dalby, Iqbal Malik, Nicholas Bunce, Mark Whitbread, Claire Grout, Anthony Mathur, Simon Redwood, Phillip MacCarthy, Andrew Wragg

Bibliographic record

VenueHeart · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionInternal medicineObservational studyCohortCardiologyPopulationClinical endpointRandomized controlled trial

Abstract

fetched live from OpenAlex

Introduction The use of primary percutaneous coronary intervention (PCI) in octogenarians to treat ST elevation myocardial infarction (STEMI) is less than in other age groups. This is due in part to underrepresentation in clinical trials and perceived increased risk. We present long-term survival of a large cohort of elderly patients following primary PCI in London. Table 1 Under 80 Over 80 p Value Gender (female) 1800 (19.6%) 474 (45.4%) <0.0001 Hypertension 3692 (42.3%) 501 (51.3%) 0.02 Hypercholesterolaemia 3708 (42.5%) 548 (56.1%) <0.0001 Previous MI 1442 (16.9%) 182 (18.7%) 0.150 Previous CABG 264 (3.0%) 46 (4.6%) 0.010 Multi vessel disease 3821 (41.8%) 562 (54.0%) <0.0001 GPIIb/IIIa 6515 (74.4%) 530 (53.8%) <0.0001 DES use 4058 (45.9%) 311 (30.9%) <0.0001 Access (radial) 2115 (23.4%) 194 (18.8%) 0.001 Procedural success 6932 (88.3%) 736 (84.7%) 0.003 Methods This was an observational study of 10 249 consecutive patients undergoing primary PCI for STEMI at eight London heart attack centres between January 2005 and November 2011. Patient's details were recorded at the time of procedure into the British Cardiac Intervention Society (BCIS) database. Outcome was assessed by all-cause mortality. Anonymous datasets from the eight centres were merged for analysis. The primary end-point was all-cause mortality at a median follow-up of 3.0 years (IQR range 1.2–4.6 years). Results A total of 1051 octogenarians (10.3% of the study population) with an average age of 84.2 years (IQR 80–101) were treated with primary PCI during the study period. Over time, the annual proportion of octogenarians gradually increased from 9.1% in 2005 to 10.5% in 2010. Unsurprisingly, when compared to patients under 80, octogenarian STEMI patients included a higher proportion of women, and had a higher prevalence of hypertension, hypercholesterolaemia, multi-vessel disease, previous infarction and previous CABG (table 1). They additionally were less likely to undergo radial access, receive GPIIb/IIIa inhibitors or a drug-eluting stent. When compared with younger patients, primary PCI in octogenarians was less likely to achieve TIMI flow grade 3. However between 2005 and 2011 the rates of post-procedural TIMI flow grade 3 increased significantly from 80.5% in 2005 to 90% in 2011 (p for trend 0.05). The cumulative incidence of all-cause mortality during follow-up was significantly higher in the octogenarian group compared to the younger subgroup (51.6% vs 12.8%, p<0.0001) (figure 1). As expected, the hazard of death during follow-up increased with age (unadjusted HR 1.069 per year increase (95% CI 1.064 to 1.074), p<0.0001), which persisted after adjustment for other predictors of mortality (HR of 1.059 (95% CI 1.048 to 1.071), p<0.0001). Figure 1 Conclusions Octogenarians constitute an important subgroup of STEMI patients. Data from London's experience would suggest that primary PCI rates are increasing in this group and that despite the high long term mortality, acute/year one rates survival rates are very encouraging.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.329
Teacher spread0.275 · 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 teacher head, not a consensus.

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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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