Evidence map›Paper›PMID 28836016›Full record

ArticleWiener klinische Wochenschrift2018

Impact of age on short- and long-term mortality of patients with ST-elevation myocardial infarction in the VIENNA STEMI network.

Paul Michael Haller, Bernhard Jäger, Serdar Farhan, Günter Christ, Wolfgang Schreiber, Franz Weidinger, Thomas Stefenelli, Georg Delle-Karth, Alfred Kaff, Gerald Maurer and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Wiener klinische Wochenschrift, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Paul Michael Haller3rd Medical Department, Cardiology and Intensive Care Medicine, Wilhelminenhospital, Montleartstraße 37, 1160, Vienna, Austria. paul.haller@meduniwien.ac.at.
Bernhard Jäger3rd Medical Department, Cardiology and Intensive Care Medicine, Wilhelminenhospital, Montleartstraße 37, 1160, Vienna, Austria.
Serdar Farhan3rd Medical Department, Cardiology and Intensive Care Medicine, Wilhelminenhospital, Montleartstraße 37, 1160, Vienna, Austria.
Günter Christ5th Medial Department, Cardiology, Sozialmedizinisches Zentrum Süd, Vienna, Austria.
Wolfgang SchreiberDepartment of Emergency Medicine, Medical University of Vienna, Vienna, Austria.
Franz Weidinger2nd Medical Department, Cardiology, Krankenhaus Rudolfstiftung, Vienna, Austria.
Thomas Stefenelli1st Medical Department, Cardiology, Sozialmedizinisches Zentrum Ost, Vienna, Austria.
Georg Delle-Karth4th Medical Department, Cardiology, Krankenhaus Hietzing, Vienna, Austria.
Alfred KaffAmbulance Services Vienna, Vienna, Austria.
Gerald MaurerDepartment of Cardiology, Medical University of Vienna, Vienna, Austria.
Kurt Huber3rd Medical Department, Cardiology and Intensive Care Medicine, Wilhelminenhospital, Montleartstraße 37, 1160, Vienna, Austria. kurt.huber@meduniwien.ac.at.
Wilhelminen Hospital · ATMedical University of Vienna · ATKlinik Hietzing · ATRudolfinerhaus Hospital · AT

Funding

Association for Research on Arteriosclerosis, Thrombosis and Vascular Biology N/A
6 · The paper itself

Abstract

BACKGROUND AND

aimOur senescent society includes a growing number of elderly people suffering from ST-elevation myocardial infarction (STEMI); however, exactly this population is often underrepresented in randomized trials. Hence, our aim was to investigate the influence of age on patient characteristics, as well as short- and long-term outcome in the Vienna STEMI registry.

methodsWe included all patients of the Vienna STEMI registry (2003-2009). Patients were stratified into age cohorts (≤45, 46-59, 60-79 and ≥80 years, respectively). Differences between cohorts were investigated by descriptive statistics and regression models. Crude and adjusted mortality rates were investigated using log rank test and Cox regression models, respectively. The influence of treatment on mortality was further investigated using propensity score matching.

resultsA total of 4579 patients fulfilled the criteria for further investigation. With rising age of cohorts, the number of females, diabetes mellitus (DM), hypertension (HTN), previous myocardial infarction (MI), shock, no reperfusion therapy and anterior wall infarction significantly increased. In contrast, the number of patients with a positive family history, smoking and hyperlipidemia (HLP) significantly declined. Log rank analysis showed significant differences between age cohorts for short- and long-term mortality. Cox regression analysis for short-term mortality revealed an independent association for age at the event, HTN and shock, while age, smoking, DM, HTN, HLP, previous MI and shock independently influenced long-term mortality after correction for confounders. Also, we found a significant association of age and total ischemic time (TIT), which however had no influence on long-term mortality (interaction term p = 0.236). Propensity score matching revealed reduced mortality rates for patients who received reperfusion therapy compared to conservative management, irrespective of age.

conclusionsIncreasing age independently influenced short- and long-term mortality in patients with STEMI in the Vienna STEMI network. The TIT significantly increased with baseline age, but had no impact on mortality. Furthermore, reperfusion therapy exerted beneficial effects irrespective of the patients' age.

Indexed as

AgedAged, 80 and overAge FactorsAustriaCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial ReperfusionPopulation DynamicsProportional Hazards ModelsRegistriesRisk FactorsST Elevation Myocardial InfarctionAgeMortalitySTEMITotal ischemic time

Identifiers

PMID28836016
OpenAlexW2746306392

What OpenQuestion holds

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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.