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Record W4291883777 · doi:10.14740/cr1414

The Association Between Admission Heart Failure and In-Hospital Outcomes in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

2022· article· en· W4291883777 on OpenAlexvenueno aff
Amr Elkammash, Mohamed Abdel‐Hamid, Mohamed Sobhy, Amr Zaki, Mohamed Sadaka, Mustafa Alsinan, Khaled Elbastawisi, Ahmed M. Abbas, Khaled Madi

Bibliographic record

VenueCardiology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionInternal medicineMyocardial infarctionCardiologyHeart failureMaceOdds ratioConfidence interval

Abstract

fetched live from OpenAlex

Background: The Global Registry of Acute Coronary Events (GRACE) study showed that admission HF is associated with longer hospital stay and higher mortality in ST-elevation myocardial infarction (STEMI) patients. No data are available on the effect of heart failure (HF) on the length of cardiac care unit (CCU) stay and in-hospital major adverse cardiac events (MACEs). The link between the severity of HF and the in-hospital prognosis is not established. Therefore, we aimed to investigate the unstudied outcomes in HF patients as well as to compare the outcomes across the spectrum of HF presentations. Methods: We studied 210 STEMI patients presenting to a single primary percutaneous coronary intervention (PPCI) center in a retrospective cohort pattern. We excluded those who received fibrinolysis, those who had chest pain for more than 24 h and those with previous stents and presenting with stent thrombosis. All the procedures followed the ethical standards of Alexandria University and the Helsinki Declaration. Results: STEMI patients with HF had significantly longer CCU stay (mean value of 3.6 vs. 2.87 days, P = 0.009), higher in-hospital MACE (55% vs. 4.7%, P < 0.001) and higher mortality (15% vs. 0.53%, P < 0.001). Multivariate logistic regression analysis revealed that HF is an independent predictor of in-hospital mortality (odds ratio (OR) = 9.11, 95% confidence interval (CI): 1.66 - 49.9, P = 0.01). The patients with severe HF on admission (Killip III and IV) tended to stay longer in the CCU (4.13 ± 1.89 days vs. 3.25 ± 1.54 days, P = 0.069) and the hospital (5.88 ± 3.09 vs. 4.42 ± 2.47 days, P = 0.077), compared to those with mild HF (Killip II). There was a tendency for a higher incidence of in-hospital MACE (75% vs. 33%, P = 0.068) and mortality (16.7% vs. 12.5%, P = 0.798) in the former group compared to the latter. The differences among HF subgroups did not reach the point of statistical significance though. Conclusions: The presence of HF on the admission of STEMI patients undergoing PPCI is associated with longer CCU stay, higher in-hospital MACE and mortality.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.334
Teacher spread0.311 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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