Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients.


Journal

Hospital practice (1995)
ISSN: 2154-8331
Titre abrégé: Hosp Pract (1995)
Pays: England
ID NLM: 101268948

Informations de publication

Date de publication:
Dec 2021
Historique:
pubmed: 4 9 2021
medline: 30 12 2021
entrez: 3 9 2021
Statut: ppublish

Résumé

Thirty-day readmission following hospitalization for acute coronary syndrome (ACS), atrial fibrillation (AF), or congestive heart failure (CHF) is common, and many occur within one week of discharge. Using a cohort of patients hospitalized for ACS, AF, or CHF, we sought to identify predictors of 30-day, early (0-7 day), and late (8-30 day) all-cause readmission. We identified 3531 hospitalizations for ACS, AF, or CHF at a large academic medical center between 2008 and 2018. Multivariable logistic regression models were created to identify predictors of 30-day, early, and late unplanned, all-cause readmission, adjusting for discharge diagnosis and other demographics and comorbidities. Of 3531 patients hospitalized for ACS, AF, or CHF, 700 (19.8%) were readmitted within 30 days, and 205 (29.3%) readmissions were early. Of all 30-day readmissions, 34.8% of ACS, 16.8% of AF, and 26.0% of the CHF cohorts' readmissions occurred early. Higher hemoglobin was associated with lower 30-day readmission [adjusted (adj) OR 0.92, 95% CI 0.88-0.97] while patients requiring intensive care unit (ICU) admission were more likely readmitted within 30 days (adj OR 1.31, 95% CI 1.03-1.67). Among patients with a 30-day readmission, females (adj OR 1.73, 95% CI 1.22, 2.47) and patients requiring ICU admission (adj OR 2.03, 95% CI 1.27, 3.26) were more likely readmitted early than late. Readmission predictors did not vary substantively by discharge diagnosis. Patients admitted to the ICU were more likely readmitted in the early and 30-day periods. Other predictors varied between readmission groups. Since outpatient follow-up often occurs beyond 1 week of discharge, early readmission predictors can help healthcare providers identify patients who may benefit from particular post-discharge services.

Identifiants

pubmed: 34474638
doi: 10.1080/21548331.2021.1976558
pmc: PMC8688234
mid: NIHMS1740116
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

364-370

Subventions

Organisme : NCATS NIH HHS
ID : TL1 TR002242
Pays : United States

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Auteurs

George Cholack (G)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.
Department of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.

Joshua Garfein (J)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Josh Errickson (J)

Department of Statistics, University of Michigan, Ann Arbor, MI, USA.

Rachel Krallman (R)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Daniel Montgomery (D)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Eva Kline-Rogers (E)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Kim Eagle (K)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Melvyn Rubenfire (M)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

Sherry Bumpus (S)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.
College of Health and Human Services, School of Nursing, Eastern Michigan University, Ypsilanti, MI, USA.

Geoffrey D Barnes (GD)

Michigan Medicine, Department of Internal Medicine, Division of Cardiovascular Medicine, Ann Arbor, MI, USA.

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