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Record W2415225310 · doi:10.1016/j.repce.2015.11.022

External validation of the ProACS score for risk stratification of patients with acute coronary syndromes

2016· article· en· W2415225310 on OpenAlexaboutno aff
Ana Teresa Timóteo, Sílvia Aguiar Rosa, Marta Afonso Nogueira, Adriana Belo, Rui Cruz Ferreira

Bibliographic record

VenueRevista Portuguesa de Cardiologia (English Edition) · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKillip classFramingham Risk ScoreAcute coronary syndromeCohortInternal medicineRisk stratificationReceiver operating characteristicMyocardial infarctionRisk assessmentCardiologyPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

The ProACS risk score is an early and simple risk stratification score developed for all-cause in-hospital mortality in acute coronary syndromes (ACS) from a Portuguese nationwide ACS registry. Our center only recently participated in the registry and was not included in the cohort used for developing the score. Our objective was to perform an external validation of this risk score for short- and long-term follow-up. Consecutive patients admitted to our center with ACS were included. Demographic and admission characteristics, as well as treatment and outcome data were collected. The ProACS risk score variables are age (≥72 years), systolic blood pressure (≤116 mmHg), Killip class (2/3 or 4) and ST-segment elevation. We calculated ProACS, Global Registry of Acute Coronary Events (GRACE) and Canada Acute Coronary Syndrome risk score (C-ACS) risk scores for each patient. A total of 3170 patients were included, with a mean age of 64±13 years, 62% with ST-segment elevation myocardial infarction. All-cause in-hospital mortality was 5.7% and 10.3% at one-year follow-up. The ProACS risk score showed good discriminative ability for all considered outcomes (area under the receiver operating characteristic curve >0.75) and a good fit, similar to C-ACS, but lower than the GRACE risk score and slightly lower than in the original development cohort. The ProACS risk score provided good differentiation between patients at low, intermediate and high mortality risk in both short- and long-term follow-up (p<0.001 for all comparisons). The ProACS score is valid in external cohorts for risk stratification for ACS. It can be applied very early, at the first medical contact, but should subsequently be complemented by the GRACE risk score. O score ProACS é um score simples e precoce desenvolvido para estratificação de risco de mortalidade hospitalar nas síndromes coronárias agudas (SCA), a partir de um registo nacional de SCA. O nosso centro só participou mais recentemente, pelo que os nossos doentes não foram incluídos na coorte de desenvolvimento do score. O nosso objetivo é o de validar externamente o score ProACS para mortalidade a curto e longo prazo. Foram incluídos doentes consecutivos admitidos no nosso centro por SCA. Obtiveram-se as características demográficas e da admissão, bem como o tratamento e seguimento. O score ProACS inclui as seguintes variáveis: idade ≥ 72 anos, pressão arterial sistólica ≤ 116 mmHg, classe Killip na admissão e elevação do segmento ST. Para cada doente foi calculado o score ProACS, Global Registry of Acute Coronary Events (GRACE) e o C-ACS. Incluíram-se 3170 doentes, idade média de 64 ± 13 anos, 62% com enfarte com elevação de ST. A mortalidade total hospitalar foi de 5,7 e 10,3% a um ano de seguimento. O score ProACS mostrou uma boa capacidade discriminativa (AUC > 0,75) e boa calibração, semelhante ao C-ACS, mas inferior quando comparado com o score GRACE e ligeiramente inferior quando comparado com a coorte de desenvolvimento original. Permite uma boa diferenciação entre doentes com risco baixo, intermédio e alto quer para mortalidade a curto quer a longo prazo (p < 0,001 para todas as comparações). O score ProACS é um score válido em coortes externas. Pode ser aplicado muito precocemente no primeiro contacto médico, mas posteriormente deverá ser complementados pelo score GRACE.

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)0.020
metaresearch head score (Gemma)0.050
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 score0.020
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.050
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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".

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Citations6
Published2016
Admission routes1
Has abstractyes

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