Literature DB >> 34293045

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

J Afonso Rocha1,2, José Carlos Cardoso3,4, Alberto Freitas5, Thomas G Allison6, Luís F Azevedo5.   

Abstract

AIMS: Assess trends and factors associated with interhospital transfers (IHT) and 30-day acute coronary syndrome (ACS) rehospitalizations in a national administrative database of patients admitted with an ACS between 2000-2015. METHODS AND
RESULTS: Cohort study of patients hospitalized with ACS from 2000 to 2015, using a validated linkage algorithm to identify and link patient-level sequential hospitalizations occurring within 30 days from first admission (considering all hospitalizations within the 30-day timeframe as belonging to the same ACS episode of care-ACS-EC). From 212,481 ACS-EC, 42,670 (20.1%) had more than one hospitalization. ACS-EC hospitalization rates decreased throughout the study period (2000: 207.7/100.000 person-years to 2015: 185,8/100,000 person-years, p for trend <0.05). Proportion of IHT increased from 10.5% in 2000 to 20.1% in 2015 compared to a reduction in both planned and unplanned 30-day ACS rehospitalization from 9.0% in 2000 to 2.7% in 2015. After adjusting for patient and first admission hospital's characteristics, compared to 2000-2003, in 2012-2015 the odds of IHT increased by 3.81 (95%CI: 3.65-3.98); the odds of unplanned and planned 30-day ACS rehospitalization decreased by 0.36 (95%CI: 0.33; 0.39) and 0.47 (95%CI: 0.43; 0.53), respectively. Female sex, older age and the presence and severity of comorbidities were associated with lower likelihood of being transferred or having a planned 30-day ACS rehospitalization. Unplanned 30-day ACS rehospitalization was more likely in patients with higher comorbidity burden.
CONCLUSION: IHT and 30-day ACS rehospitalization reflect coronary referral network efficiency and access to specialized treatment. Identifying factors associated with higher likelihood of IHT and 30-day ACS rehospitalization may allow heightened surveillance and interventions to reduce rehospitalizations and inequities in access to specialized treatment.

Entities:  

Year:  2021        PMID: 34293045     DOI: 10.1371/journal.pone.0255134

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  35 in total

1.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

2.  Acute myocardial infarction hospitalization and treatment: Areas with a high percentage of First Nations identity residents.

Authors:  Helen Ke Wei-Randall; Mélanie Josée Davidson; Jing Jin; Sushma Mathur; Lisa Oliver
Journal:  Health Rep       Date:  2013-07       Impact factor: 4.796

3.  Hospital transfer of patients with acute myocardial infarction: the effects of age, race, and insurance type.

Authors:  Jerry H Gurwitz; Robert J Goldberg; Judith A Malmgren; Hal V Barron; Alan J Tiefenbrunn; Paul D F Frederick; Joel M Gore
Journal:  Am J Med       Date:  2002-05       Impact factor: 4.965

4.  Population trends in the incidence and outcomes of acute myocardial infarction.

Authors:  Robert W Yeh; Stephen Sidney; Malini Chandra; Michael Sorel; Joseph V Selby; Alan S Go
Journal:  N Engl J Med       Date:  2010-06-10       Impact factor: 91.245

5.  An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction.

Authors:  Harlan M Krumholz; Zhenqiu Lin; Elizabeth E Drye; Mayur M Desai; Lein F Han; Michael T Rapp; Jennifer A Mattera; Sharon-Lise T Normand
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2011-03

6.  Early diagnosis of myocardial infarction with sensitive cardiac troponin assays.

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Journal:  N Engl J Med       Date:  2009-08-27       Impact factor: 91.245

7.  The prevalence of 30-day readmission after acute myocardial infarction: A systematic review and meta-analysis.

Authors:  Huijie Wang; Ting Zhao; Xiaoliang Wei; Huifang Lu; Xiufang Lin
Journal:  Clin Cardiol       Date:  2019-08-12       Impact factor: 2.882

8.  Estimating average annual per cent change in trend analysis.

Authors:  Limin X Clegg; Benjamin F Hankey; Ram Tiwari; Eric J Feuer; Brenda K Edwards
Journal:  Stat Med       Date:  2009-12-20       Impact factor: 2.373

9.  Decade-Long Trends in 30-Day Rehospitalization Rates After Acute Myocardial Infarction.

Authors:  Han-Yang Chen; Mayra Tisminetzky; Kate L Lapane; Jorge Yarzebski; Sharina D Person; Catarina I Kiefe; Joel M Gore; Robert J Goldberg
Journal:  J Am Heart Assoc       Date:  2015-11-03       Impact factor: 5.501

10.  Internal deterministic record linkage using indirect identifiers for matching of same-patient hospital transfers and early readmissions after acute coronary syndrome in a nationwide hospital discharge database: a retrospective observational validation study.

Authors:  Afonso Rocha; Luıs Filipe Azevedo; J C Silva Cardoso; Thomas G Allison; Alberto Freitas
Journal:  BMJ Open       Date:  2019-12-30       Impact factor: 2.692

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