Evidence map›Paper›PMID 33452007›Full record

ArticleOpen heart2021

180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study.

John A Dodson, Alexandra M Hajduk, Terrence E Murphy, Mary Geda, Harlan M Krumholz, Sui Tsang, Michael G Nanna, Mary E Tinetti, Gregory Ouellet, Deborah Sybrant and 2 more

Erratum issuedOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Open heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

John A DodsonLeon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA John.Dodson@nyumc.org.ORCID 0000-0003-0163-3013
Alexandra M HajdukGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Terrence E MurphyGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Mary GedaGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA.
Sui TsangGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Michael G NannaDuke Clinical Research Institute, Durham, North Carolina, USA.
Mary E TinettiGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Gregory OuelletGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Deborah SybrantInternational Heart Institute of Montana, Missoula, Montana, USA.
Thomas M GillGeriatrics Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Sarwat I ChaudhrySection of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Yale University · USClinical Research Institute · USNew York University · USThe International Heart Institute of Montana · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Risk Stratification in Older Persons with Acute Myocardial Infarction: SILVER-AMIR01HL115295 · NHLBI · YALE UNIVERSITY · PI CHAUDHRY, SARWAT I · 2012 to 2016
$11.3M
Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
Geriatric impairments, risk of treatment-related harms, and shared decision-making among older adults with acute myocardial infarctionK23AG052463 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DODSON, JOHN A · 2016 to 2019
$658k
ACADEMIC LEADERSHIP AWARD IN DISABILITY AND DISABLING DISORDERSK07AG043587 · NIA · YALE UNIVERSITY · PI GILL, THOMAS MICHAEL · 2013 to 2017
$645k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL115295NHLBI NIH HHS T32 HL069749NIA NIH HHS K07 AG043587NIA NIH HHS K23 AG052463NIA NIH HHS P30 AG021342NIA NIH HHS T32 AG019134
6 · The paper itself

Abstract

objectiveTo develop a 180-day readmission risk model for older adults with acute myocardial infarction (AMI) that considered a broad range of clinical, demographic and age-related functional domains.

methodsWe used data from ComprehenSIVe Evaluation of Risk in Older Adults with AMI (SILVER-AMI), a prospective cohort study that enrolled participants aged ≥75 years with AMI from 94 US hospitals. Participants underwent an in-hospital assessment of functional impairments, including cognition, vision, hearing and mobility. Clinical variables previously shown to be associated with readmission risk were also evaluated. The outcome was 180-day readmission. From an initial list of 72 variables, we used backward selection and Bayesian model averaging to derive a risk model (N=2004) that was subsequently internally validated (N=1002).

resultsOf the 3006 SILVER-AMI participants discharged alive, mean age was 81.5 years, 44.4% were women and 10.5% were non-white. Within 180 days, 1222 participants (40.7%) were readmitted. The final risk model included 10 variables: history of chronic obstructive pulmonary disease, history of heart failure, initial heart rate, first diastolic blood pressure, ischaemic ECG changes, initial haemoglobin, ejection fraction, length of stay, self-reported health status and functional mobility. Model discrimination was moderate (0.68 derivation cohort, 0.65 validation cohort), with good calibration. The predicted readmission rate (derivation cohort) was 23.0% in the lowest quintile and 65.4% in the highest quintile.

conclusionsOver 40% of participants in our sample experienced hospital readmission within 180 days of AMI. Our final readmission risk model included a broad range of characteristics, including functional mobility and self-reported health status, neither of which have been previously considered in 180-day risk models.

Indexed as

Aged, 80 and overFemaleFollow-Up StudiesHumansIncidenceMaleMyocardial InfarctionPatient ReadmissionProspective StudiesRisk AssessmentRisk FactorsTime FactorsUnited Statesacute coronary syndromeepidemiologyhealth careoutcome assessment

Identifiers

PMID33452007
PMCPMC7813425
OpenAlexW3120185321

What OpenQuestion holds

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LicenceCC BY-NC
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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.