Literature DB >> 35900651

Older patients acutely admitted and readmitted to the same geriatric department: a descriptive cohort study of primary diagnoses and health characteristics.

Alexander Viktor Eriksen1,2, Mikkel Dreier Thrane1,2, Lars Matzen1,2, Jesper Ryg1,2, Karen Andersen-Ranberg3,4,5.   

Abstract

PURPOSE: Advancing age is associated with increased risk for acute admissions and readmissions. The societal challenges of ageing populations have made the prevention of readmissions come into focus. Readmission may be perceived as the result of inadequate treatment during index admission but may also be caused by the onset of new disease following a generally impaired health of geriatric patients. We aimed at comparing the diagnoses at index and readmission to illuminate this issue.
METHODS: This is a descriptive, retrospective cohort study of patients acutely admitted and readmitted (within 30 days from discharge) to the same geriatric ward (November 1, 2017-April 30, 2018). Electronic medical records were scrutinised manually for discharge diagnoses and patient characteristics.
RESULTS: Readmission rate was 10.7% (98 of 918 unique admissions). Mean age was 85.6 (men 56%). About 75% were readmitted with a new acute disease unrelated to index admission, most commonly pneumonia (27%), other infections (22%), and dehydration (14%). The health characteristics were long index length-of-stay (median 7; IQR 5-11), high Charlson Comorbidity Index (CCI ≥ 3, n = 49 (50%), polypharmacy (≥ 5 prescriptions) (94%), and hospitalisations 12 months prior to index admission (57%). KEY
CONCLUSIONS: The majority of readmitted geriatric patients have contracted a new acute condition. Although being characterised by several adverse health characteristics, prospective studies comparing readmitted and non-readmitted geriatric patients are needed. Still, increasing the awareness of early recognition of acute disease onset in geriatric patients is warranted.
© 2022. The Author(s), under exclusive licence to European Geriatric Medicine Society.

Entities:  

Keywords:  Acute readmission; Comorbidity; Geriatric; Patient characteristics; Polypharmacy

Mesh:

Year:  2022        PMID: 35900651     DOI: 10.1007/s41999-022-00670-0

Source DB:  PubMed          Journal:  Eur Geriatr Med        ISSN: 1878-7649            Impact factor:   3.269


  29 in total

1.  Predictive model of readmission to internal medicine wards.

Authors:  Antonio Zapatero; Raquel Barba; Javier Marco; Juan Hinojosa; Susana Plaza; Juan Emilio Losa; Jesus Canora
Journal:  Eur J Intern Med       Date:  2012-02-13       Impact factor: 4.487

2.  Early hospital readmission of nursing home residents and community-dwelling elderly adults discharged from the geriatrics service of an urban teaching hospital: patterns and risk factors.

Authors:  Michael Bogaisky; Laurel Dezieck
Journal:  J Am Geriatr Soc       Date:  2015-03-02       Impact factor: 5.562

3.  Comparison between planned and unplanned readmissions to a department of internal medicine.

Authors:  M P Kossovsky; T V Perneger; F P Sarasin; F Bolla; F Borst; J M Gaspoz
Journal:  J Clin Epidemiol       Date:  1999-02       Impact factor: 6.437

4.  Risk factors of readmission after geriatric hospital care: An interRAI-based cohort study in Finland.

Authors:  Hanna M Kerminen; Pirkko O Jäntti; Jaakko N A Valvanne; Heini S A Huhtala; Esa R K Jämsen
Journal:  Arch Gerontol Geriatr       Date:  2021-01-20       Impact factor: 3.250

Review 5.  Risk factors for acute care hospital readmission in older persons in Western countries: a systematic review.

Authors:  Mona Kyndi Pedersen; Gabriele Meyer; Lisbeth Uhrenfeldt
Journal:  JBI Database System Rev Implement Rep       Date:  2017-02

6.  Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

Authors:  Karen Barnett; Stewart W Mercer; Michael Norbury; Graham Watt; Sally Wyke; Bruce Guthrie
Journal:  Lancet       Date:  2012-05-10       Impact factor: 79.321

7.  Thirty-day hospital readmission rate amongst older adults correlates with an increased number of medications, but not with Beers medications.

Authors:  Suresh Basnet; Meng Zhang; Martin Lesser; Gisele Wolf-Klein; Guang Qiu; Myia Williams; Renee Pekmezaris; Paola DiMarzio
Journal:  Geriatr Gerontol Int       Date:  2018-09-17       Impact factor: 2.730

Review 8.  Limitations in Activities of Daily Living in Community-Dwelling People Aged 75 and Over: A Systematic Literature Review of Risk and Protective Factors.

Authors:  Anne van der Vorst; G A Rixt Zijlstra; Nico De Witte; Daan Duppen; Andreas E Stuck; Gertrudis I J M Kempen; Jos M G A Schols
Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

9.  Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model.

Authors:  Sharon K Inouye; Ying Zhang; Richard N Jones; Peilin Shi; L Adrienne Cupples; Harold N Calderon; Edward R Marcantonio
Journal:  Med Care       Date:  2008-07       Impact factor: 2.983

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