Evidence map›Paper›PMID 37131092›Full record

Observational studyInternal and emergency medicine2023

Prehospital stratification and prioritisation of non-ST-segment elevation acute coronary syndrome patients (NSTEACS): the MARIACHI scale.

Silvia Solà-Muñoz, Morales Jorge, Xavier Jiménez-Fàbrega, Sonia Jiménez-Delgado, Youcef Azeli, J Ramon Marsal, Sara Jordán, Josepa Mauri, Javier Jacob

Abstract readObservational Study
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In one paragraph

Observational study in Internal and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Early predictors of severe left main and/or three-vessel disease in patients with non-ST-segment elevation myocardial infarction: A dual-center retrospective study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Silvia Solà-MuñozSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain. silviasola@gencat.cat.ORCID 0000-0002-8839-9460
Morales JorgeSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain.
Xavier Jiménez-FàbregaSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain.
Sonia Jiménez-DelgadoSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain.
Youcef AzeliSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain.
J Ramon MarsalRTI Health Solutions, Research Triangle Park, Spain.
Sara JordánSistema d'Emergències Mèdiques de Catalunya, Catalonia, Spain.
Josepa MauriCardiology Department, Hospital Universitari Germans Trias I Pujol, Badalona, Spain.
Javier JacobUniversitat de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to develop and validate a risk scale (MARIACHI) for patients classified as non-ST-segment elevation acute coronary syndrome (NSTEACS) in a prehospital setting with the ability to identify patients at an increased risk of mortality at an early stage.

methodsA retrospective observational study conducted in Catalonia over two periods: 2015-2017 (development and internal validation cohort) and Aug 2018-Jan 2019 (external validation cohort). We included patients classified as prehospital NSTEACS, assisted by an advanced life support unit and requiring hospital admission. The primary outcome was in-hospital mortality. Cohorts were compared using logistic regression and a predictive model was created using bootstrapping techniques.

resultsThe development and internal validation cohort included 519 patients. The model is composed of five variables associated with hospital mortality: age, systolic blood pressure, heart rate > 95 bpm, Killip-Kimball III-IV and ST depression ≥ 0.5 mm. The model showed good overall performance (Brier = 0.043) and consistency in discrimination (AUC 0.88, 95% CI 0.83-0.92) and calibration (slope = 0.91; 95% CI 0.89-0.93). We included 1316 patients for the external validation sample. There was no difference in discrimination (AUC 0.83, 95% CI 0.78-0.87; DeLong Test p = 0.071), but there was in calibration (p < 0.001), so it was recalibrated. The finally model obtained was stratified and scored into three groups according to the predicted risk of patient in-hospital mortality: low risk: < 1% (-8 to 0 points), moderate risk: 1-5% (+ 1 to + 5 points) and high risk: > 5% (6-12 points).

conclusionThe MARIACHI scale showed correct discrimination and calibration to predict high-risk NSTEACS. Identification of high-risk patients may help with treatment and low referral decisions at the prehospital level.

Indexed as

Acute Coronary SyndromeEmergency Medical ServicesHospitalizationHumansRetrospective StudiesRisk AssessmentRisk FactorsNon-ST-elevation myocardial infarctionPrehospitalScoreUnstable angina

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.