Evidence map›Paper›PMID 29509764›Full record

Observational studyPLoS medicine2018

Multimorbidity and survival for patients with acute myocardial infarction in England and Wales: Latent class analysis of a nationwide population-based cohort.

Marlous Hall, Tatendashe B Dondo, Andrew T Yan, Mamas A Mamas, Adam D Timmis, John E Deanfield, Tomas Jernberg, Harry Hemingway, Keith A A Fox, Chris P Gale

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03037255 (Association of Long-term Conditions With Survival Following Acute Myocardial Infarction in England and Wales), which is not on this map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 1% 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.

NCT03037255 completednot on this map

Association of Long-term Conditions With Survival Following Acute Myocardial Infarction in England and Wales

Typeobservational_patient_registrySponsorMarlous HallRan2003 to 2021Enrolled693,633ConditionsAcute Myocardial Infarction, Diabetes Mellitus, Peripheral Vascular Disease, Chronic Heart FailureArmslong term conditions
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.

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1 more citing papers are in PubMed but not listed here.

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

10 authors at 7 institutions in 3 countries.

Marlous HallLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-1246-2627
Tatendashe B DondoLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Andrew T YanDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mamas A MamasKeele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom.
Adam D TimmisNIHR Cardiovascular Biomedical Research Unit, Barts Heart Centre, London, United Kingdom.
John E DeanfieldNational Institute for Cardiovascular Outcomes Research, University College London, London, United Kingdom.
Tomas JernbergDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
Harry HemingwayFarr Institute of Health Informatics Research, University College London, London, United Kingdom.
Keith A A FoxCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Chris P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
University of Leeds · GBKarolinska Institutet · SEKeele University · GBNational Institute for Health Research · GBUCL Biomedical Research Centre · GBUniversity of Edinburgh · GBUniversity of Toronto · CA

Funding

British Heart Foundation PG/13/81/30474Medical Research Council MR/K006584/1Wellcome TrustWellcome Trust 206470/Z/17/Z
6 · The paper itself

Abstract

backgroundThere is limited knowledge of the scale and impact of multimorbidity for patients who have had an acute myocardial infarction (AMI). Therefore, this study aimed to determine the extent to which multimorbidity is associated with long-term survival following AMI. METHODS AND

findingsThis national observational study included 693,388 patients (median age 70.7 years, 452,896 [65.5%] male) from the Myocardial Ischaemia National Audit Project (England and Wales) who were admitted with AMI between 1 January 2003 and 30 June 2013. There were 412,809 (59.5%) patients with multimorbidity at the time of admission with AMI, i.e., having at least 1 of the following long-term health conditions: diabetes, chronic obstructive pulmonary disease or asthma, heart failure, renal failure, cerebrovascular disease, peripheral vascular disease, or hypertension. Those with heart failure, renal failure, or cerebrovascular disease had the worst outcomes (39.5 [95% CI 39.0-40.0], 38.2 [27.7-26.8], and 26.6 [25.2-26.4] deaths per 100 person-years, respectively). Latent class analysis revealed 3 multimorbidity phenotype clusters: (1) a high multimorbidity class, with concomitant heart failure, peripheral vascular disease, and hypertension, (2) a medium multimorbidity class, with peripheral vascular disease and hypertension, and (3) a low multimorbidity class. Patients in class 1 were less likely to receive pharmacological therapies compared with class 2 and 3 patients (including aspirin, 83.8% versus 87.3% and 87.2%, respectively; β-blockers, 74.0% versus 80.9% and 81.4%; and statins, 80.6% versus 85.9% and 85.2%). Flexible parametric survival modelling indicated that patients in class 1 and class 2 had a 2.4-fold (95% CI 2.3-2.5) and 1.5-fold (95% CI 1.4-1.5) increased risk of death and a loss in life expectancy of 2.89 and 1.52 years, respectively, compared with those in class 3 over the 8.4-year follow-up period. The study was limited to all-cause mortality due to the lack of available cause-specific mortality data. However, we isolated the disease-specific association with mortality by providing the loss in life expectancy following AMI according to multimorbidity phenotype cluster compared with the general age-, sex-, and year-matched population.

conclusionsMultimorbidity among patients with AMI was common, and conferred an accumulative increased risk of death. Three multimorbidity phenotype clusters that were significantly associated with loss in life expectancy were identified and should be a concomitant treatment target to improve cardiovascular outcomes.

trial registrationClinicalTrials.gov NCT03037255.

Indexed as

Life ExpectancyAgedCause of DeathCerebrovascular DisordersCluster AnalysisEnglandFemaleHeart FailureHospitalizationHumansMaleMedical AuditMedication Therapy ManagementMultimorbidityMyocardial InfarctionNoncommunicable Diseases

Identifiers

PMID29509764
PMCPMC5839532
OpenAlexW2790350670

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.