Literature DB >> 25736049

Long-term mortality following interhospital transfer for acute myocardial infarction.

Isuru Ranasinghe1, Federica Barzi2, David Brieger3, Martin Gallagher4.   

Abstract

BACKGROUND: Interhospital transfer of patients admitted with an acute myocardial infarction for specialised care is common and costly. However, the long-term mortality of transferred patients compared with patients solely treated at the presenting hospital has not been evaluated. Here, we assess the long-term mortality of patients who undergo interhospital transfer during their acute myocardial infarction admission.
METHODS: We evaluated 40 482 patients with a ICD10-AM diagnosis of acute myocardial infarction admitted to hospitals in New South Wales, Australia, from 2004 to 2008, of whom 10 107 (25%) were transferred. We compared in-hospital and mortality up to 5.5 years postdischarge among transferred and non-transferred patients. We created a 1:1 propensity score matched cohort (n=16 854; 8427 per group) to account for selection bias.
RESULTS: In the matched cohort, transferred patients were more likely to undergo revascularisation (55.6% vs 13.7%, RR 4.05; 95% CI 3.83 to 4.29) and had lower mortality at 30 days (3.5% vs 5.7%, HR 0.60; 95% CI 0.52 to 0.70), 1 year (7.5% vs 12.6%, HR 0.58; 95% CI 0.52 to 0.64) and at the end of follow-up (15.3% vs 22.5%, HR 0.65; 95% CI 0.61 to 0.70) than patients treated in presenting hospitals. With the exception of transfers originating from revascularisation capable hospitals, these findings were consistent across a range of subgroups, including patients of all ages, ST-elevation myocardial infarction and non ST-elevation myocardial infarction patients, and transfers originating from hospitals in regional and major city areas. Sensitivity analyses showed that these findings are unlikely to be due to survival bias or to confounding by unmeasured variables.
CONCLUSIONS: Patients hospitalised for an acute myocardial infarction who are transferred to one or more hospitals for specialised care have higher rates of coronary revascularisation and experience lower long-term mortality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2015        PMID: 25736049     DOI: 10.1136/heartjnl-2014-306966

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  12 in total

1.  Differences in Hospital Risk-standardized Mortality Rates for Acute Myocardial Infarction When Assessed Using Transferred and Nontransferred Patients.

Authors:  Ian J Barbash; Hongwei Zhang; Derek C Angus; Steven E Reis; Chung-Chou H Chang; Francis R Pike; Jeremy M Kahn
Journal:  Med Care       Date:  2017-05       Impact factor: 2.983

2.  Surgical Transfer Decision Making: How Regional Resources are Allocated in a Regional Transfer Network.

Authors:  Kristy Kummerow Broman; Michael J Ward; Benjamin K Poulose; Margaret L Schwarze
Journal:  Jt Comm J Qual Patient Saf       Date:  2017-12-01

3.  Impact of myocardial revascularization on long-term outcomes in a nationwide cohort of first acute myocardial infarction survivors.

Authors:  Leonardo De Luca; Paola D'Errigo; Stefano Rosato; Gian Francesco Mureddu; Gabriella Badoni; Fulvia Seccareccia; Giovanni Baglio
Journal:  Eur Heart J Suppl       Date:  2022-05-18       Impact factor: 1.624

4.  Applying Supervised Machine Learning to Identify Which Patient Characteristics Identify the Highest Rates of Mortality Post-Interhospital Transfer.

Authors:  Andrew P Reimer; Nicholas K Schiltz; Vanessa P Ho; Elizabeth A Madigan; Siran M Koroukian
Journal:  Biomed Inform Insights       Date:  2019-03-18

Review 5.  Challenges in Managing Acute Cardiovascular Diseases and Follow Up Care in Rural Areas: A Narrative Review.

Authors:  Sandra C Thompson; Lee Nedkoff; Judith Katzenellenbogen; Mohammad Akhtar Hussain; Frank Sanfilippo
Journal:  Int J Environ Res Public Health       Date:  2019-12-15       Impact factor: 3.390

6.  Time-trends and predictors of interhospital transfers and 30-day rehospitalizations after acute coronary syndrome from 2000-2015.

Authors:  J Afonso Rocha; José Carlos Cardoso; Alberto Freitas; Thomas G Allison; Luís F Azevedo
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

7.  Deepening our Understanding of Quality in Australia (DUQuA): a study protocol for a nationwide, multilevel analysis of relationships between hospital quality management systems and patient factors.

Authors:  Natalie Taylor; Robyn Clay-Williams; Emily Hogden; Victoria Pye; Zhicheng Li; Oliver Groene; Rosa Suñol; Jeffrey Braithwaite
Journal:  BMJ Open       Date:  2015-12-07       Impact factor: 2.692

8.  Is there a role for a local inpatient CT coronary angiography service in selected patients with acute coronary syndrome? A cohort analysis of inpatient tertiary centre referrals for invasive coronary angiography.

Authors:  Hamish MacLachlan; Ranji Thomas; Jessica Langtree; Chris Hare; Andrew R J Mitchell
Journal:  Open Heart       Date:  2016-03-10

9.  Exploring the effects of transfers and readmissions on trends in population counts of hospital admissions for coronary heart disease: a Western Australian data linkage study.

Authors:  Derrick Lopez; Lee Nedkoff; Matthew Knuiman; Michael S T Hobbs; Thomas G Briffa; David B Preen; Joseph Hung; John Beilby; Sushma Mathur; Anna Reynolds; Frank M Sanfilippo
Journal:  BMJ Open       Date:  2017-11-17       Impact factor: 2.692

10.  SAFety, Effectiveness of care and Resource use among Australian Hospitals (SAFER Hospitals): a protocol for a population-wide cohort study of outcomes of hospital care.

Authors:  Isuru Ranasinghe; Sadia Hossain; Anna Ali; Dennis Horton; Robert Jt Adams; Bernadette Aliprandi-Costa; Christina Bertilone; Gustavo Carneiro; Martin Gallagher; Steven Guthridge; Billingsley Kaambwa; Sradha Kotwal; Gerry O'Callaghan; Ian A Scott; Renuka Visvanathan; Richard J Woodman
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

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