Evidence map›Paper›PMID 30477196›Full record

ArticleJournal of clinical medicine2018

De-Ritis Ratio Improves Long-Term Risk Prediction after Acute Myocardial Infarction.

Matthias Steininger, Max-Paul Winter, Thomas Reiberger, Lorenz Koller, Feras El-Hamid, Stefan Forster, Sebastian Schnaubelt, Christian Hengstenberg, Klaus Distelmaier, Georg Goliasch and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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

14 authors.

Matthias SteiningerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. Matthias.steininger@meduniwien.ac.at.
Max-Paul WinterDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. max-paul.winter@meduniwien.ac.at.ORCID 0000-0002-2945-9742
Thomas ReibergerDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, 1090 Vienna, Austria. thomas.reiberger@meduniwien.ac.at.
Lorenz KollerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. lorenz.koller@meduniwien.ac.at.
Feras El-HamidDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. feras@el-hamid.de.
Stefan ForsterDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. forsterstefan@gmx.at.
Sebastian SchnaubeltDepartment of Emergency Medicine, Medical University of Vienna, 1090 Vienna, Austria. sebastian.schnaubelt@meduniwien.ac.at.
Christian HengstenbergDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. christian.hengstenberg@meduniwien.ac.at.ORCID 0000-0002-8284-2994
Klaus DistelmaierDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. Klaus.distelmaier@meduniwien.ac.at.
Georg GoliaschDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. georg.goliasch@meduniwien.ac.at.
Johann WojtaDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. johann.wojta@meduniwien.ac.at.
Aurel TomaDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. aurel.toma@meduniwien.ac.at.
Alexander NiessnerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. alexander.niessner@meduniwien.ac.at.
Patrick SulzgruberDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria. Patrick.Sulzgruber@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent evidence suggested levels of aspartate aminotransferase (AST), alanine transaminase (ALT), and AST/ALT ratio (De-Ritis ratio) were associated with a worse outcome after acute myocardial infarction (AMI). However, their value for predicting long-term prognosis remained unknown. Therefore, we investigated the prognostic potential of transaminases on patient outcome after AMI from a long-term perspective.

methodsData of a large AMI registry including 1355 consecutive patients were analyzed. The Cox regression hazard analysis was used to assess the impact of transaminases and the De-Ritis ratio on long-term mortality.

resultsThe median De-Ritis ratio for the entire study population was 1.5 (interquartile range [IQR]: 1.0⁻2.6). After a median follow-up time of 8.6 years, we found that AST (crude hazard ratio (HR) of 1.19 per 1-SD [95% confidence interval (CI): 1 .09⁻1.32;

conclusionThe De-Ritis ratio is a strong and independent predictor for long-term mortality after AMI. As a readily available biomarker in clinical routine, it might be used to identify patients at risk for fatal cardiovascular events and help to optimize secondary prevention strategies after AMI.

Indexed as

acute coronary syndromeALTASTDe-Ritis ratiolong-term prognosis

Identifiers

PMID30477196
PMCPMC6306912

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Registered trials

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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.