Evidence map›Paper›PMID 40103625›Full record

ArticleARYA atherosclerosis2024

In-hospital mortality of acute ST-elevation myocardial infarction (STEMI) and its predictors-using Yazd Cardiovascular Diseases Registry, YCDR.

Mohsen Mohammadi, Seyedeh Mahdieh Namayandeh, Masoud Mirzaei, Mohsen Askari Shahi, Seyed Mahmoud Sadr Bafighi, Hamidreza Dehghan

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In one paragraph

Article in ARYA atherosclerosis, 2024. 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. 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

6 authors.

Mohsen MohammadiCenter For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyedeh Mahdieh NamayandehCenter For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Afshar Research Development Center, Afshar Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Masoud MirzaeiCenter For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohsen Askari ShahiCenter For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyed Mahmoud Sadr BafighiDepartment of Cardiology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Hamidreza DehghanResearch Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was estimate and identify in hospital mortality predictors factors for patients with acute ST elevation myocardial infarction (STEMI).

methodsThis study is a retrospective cohort study based on data from the Yazd Cardiovascular Diseases Registry (YCDR) from 2015-2018 in Yazd Province, Iran, focusing on hospitalized patients with ST-elevation myocardial infarction (STEMI). The primary outcome was in-hospital mortality in STEMI patients. A total of 1861 patients with STEMI were analyzed. Multivariable logistic regression was used to determine death predictive factors for in-hospital mortality in STEMI patients. The significance level of the model was considered to be 5% and the software was used for analysis.

resultsThe study included 1,861 patients with STEMI. Among them, 103 (5.5%) individuals died during admission the hospital. After multivariable logistic regression, the following variables were identified as death predictive factors for in-hospital mortality of STEMI: having a history of CVA (OR: 5.6, 95% CI: 2.2-20.3), killip class IV (OR: 6.4, 95%CI: 1.5-11.2), lower ejection fraction (OR: 3.6, 95% CI: 1.2-9.8), lower HDL cholesterol (OR: 1.2, 95% CI: 1.01-2.3), and lower hemoglobin (OR: 1.4, 95% CI: 1.3-2.9).

conclusionThis study found that lower ejection fraction, lower hemoglobin levels, Killip class IV, having a history of CVA, and low HDL cholesterol levels are important death predictive factors for hospital mortality in patients with STEMI. Health policy in STEMI management must consider these factors to improve hospital prognosis.

Indexed as

Acute Myocardial InfarctionIschemiaPrognostic FactorsSTEMI

Identifiers

PMID40103625
PMCPMC11913461

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