Evidence map›Paper›PMID 25885918›Full record

ArticleCardiovascular diabetology2015

Association of obesity and long-term mortality in patients with acute myocardial infarction with and without diabetes mellitus: results from the MONICA/KORA myocardial infarction registry.

Miriam Giovanna Colombo, Christa Meisinger, Ute Amann, Margit Heier, Wolfgang von Scheidt, Bernhard Kuch, Annette Peters, Inge Kirchberger

Abstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Miriam Giovanna ColomboCentral Hospital of Augsburg, MONICA/KORA Myocardial Infarction Registry, Stenglinstr. 2, 86156, Augsburg, Germany. Miriam.Colombo@helmholtz-muenchen.de.
Christa MeisingerCentral Hospital of Augsburg, MONICA/KORA Myocardial Infarction Registry, Stenglinstr. 2, 86156, Augsburg, Germany. Christa.Meisinger@helmholtz-muenchen.de.
Ute AmannCentral Hospital of Augsburg, MONICA/KORA Myocardial Infarction Registry, Stenglinstr. 2, 86156, Augsburg, Germany. Ute.Amann@helmholtz-muenchen.de.
Margit HeierCentral Hospital of Augsburg, MONICA/KORA Myocardial Infarction Registry, Stenglinstr. 2, 86156, Augsburg, Germany. Heier@helmholtz-muenchen.de.
Wolfgang von ScheidtCentral Hospital of Augsburg, Department of Internal Medicine I-Cardiology, Stenglinstr. 2, 86156, Augsburg, Germany. wolfgang.scheidt@klinikum-augsburg.de.
Bernhard KuchCentral Hospital of Augsburg, Department of Internal Medicine I-Cardiology, Stenglinstr. 2, 86156, Augsburg, Germany. b.kuch@donkliniken.de.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany. peters@helmholtz-muenchen.de.
Inge KirchbergerCentral Hospital of Augsburg, MONICA/KORA Myocardial Infarction Registry, Stenglinstr. 2, 86156, Augsburg, Germany. Inge.Kirchberger@helmholtz-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParadoxically, beneficial effects of overweight and obesity on survival have been found in patients after cardiovascular events such as acute myocardial infarction (AMI). This obesity paradox has not been analyzed in AMI patients with diabetes even though their cardiovascular morbidity and mortality is increased compared to their counterparts without diabetes. Therefore, the objective of this long-term study was to analyze the association between body mass index (BMI) and all-cause mortality in AMI patients with and without diabetes mellitus.

methodsIncluded in the study were 1190 patients with and 2864 patients without diabetes, aged 28-74 years, recruited from a German population-based AMI registry. Patients were consecutively hospitalized between 1 January 2000 and 31 December 2008 with a first ever AMI and followed up until December 2011. Data collection comprised standardized interviews and chart reviews. To assess the association between BMI and long-term mortality from all causes, Cox proportional hazards models were calculated adjusted for risk factors, co-morbidities, clinical characteristics, in-hospital complications as well as medical and drug treatment.

resultsAMI patients of normal weight (BMI 18.5-24.9 kg/m(2)) had the highest long-term mortality rate both in patients with and without diabetes with 50 deaths per 1000 person years and 26 deaths per 1000 person years, respectively. After adjusting for a selection of covariates, a significant, protective effect of overweight and obesity on all-cause mortality was found in AMI patients without diabetes (overweight: hazard ratio (HR) 0.73, 95% confidence interval (CI) 0.58-0.93; p=0.009; obesity: HR 0.64, 95% CI 0.47-0.87; p=0.004). In contrast, an obesity paradox was not found in AMI patients with diabetes. However, stratified analyses showed survival benefits in overweight AMI patients with diabetes who had been prescribed statins prior to AMI (HR 0.51, 95% CI 0.29-0.89, p=0.018) or four evidence-based medications at hospital-discharge (HR 0.52, 95% CI 0.34-0.80, p=0.003).

conclusionIn contrast to AMI patients without diabetes, AMI patients with diabetes do not experience a survival benefit from an elevated BMI. To investigate the underlying reasons for these findings, further studies stratifying their samples by diabetes status are needed.

Indexed as

Body Mass IndexRegistriesAdultAgedDiabetes MellitusFemaleFollow-Up StudiesHumansMaleMiddle AgedMortalityMyocardial InfarctionObesityTime Factors

Identifiers

PMID25885918
PMCPMC4396021

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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.