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Associations and predictions of readmission or death in acutely admitted older medical patients using self-reported frailty and functional measures. A Danish cohort study

Research output: Contribution to journalJournal articleResearchpeer-review

  • Jane Andreasen
  • Mette Aadahl
  • Erik Elgaard Sørensen
  • Helle Højmark Eriksen
  • Hans Lund
  • Kim Overvad
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OBJECTIVE: To assess whether frailty in acutely admitted older medical patients, assessed by a self-report questionnaire and evaluation of functional level at discharge, was associated with readmission or death within 6 months after discharge. A second objective was to assess the predictive performance of models including frailty, functional level, and known risk factors.

METHODS: A cohort study including acutely admitted older patients 65+ from seven medical and two acute medical units. The Tilburg Frailty Indicator (TFI), Timed-Up-and-Go (TUG), and grip strength (GS) exposure variables were measured. Associations were assessed using Cox regression with first unplanned readmission or death (all-causes) as the outcome. Prediction models including the three exposure variables and known risk factors were modelled using logistic regression and C-statistics.

RESULTS: Of 1328 included patients, 50% were readmitted or died within 6 months. When adjusted for gender and age, there was an 88% higher risk of readmission or death if the TFI scores were 8-13 points compared to 0-1 points (HR 1.88, CI 1.38;2.58). Likewise, higher TUG and lower GS scores were associated with higher risk of readmission or death. The area under the curve for the prediction models ranged from 0.64 (0.60;0.68) to 0.72 (0.68;0.76).

CONCLUSION: In acutely admitted older medical patients, higher frailty assessed by TFI, TUG, and GS was associated with a higher risk of readmission or death within 6 months after discharge. The performance of the prediction models was mediocre, and the models cannot stand alone as risk stratification tools in clinical practice.

Original languageEnglish
JournalArchives of Gerontology and Geriatrics
Pages (from-to)65-72
Number of pages8
Publication statusPublished - 21 Feb 2018

    Research areas

  • Journal Article

ID: 53618127