Revisiting the "Timed Up and Go" test: a 12-s cut-off can predict Hospitalization Associated Functional Decline in older adults.

Early detection of functional decline, a major risk among hospitalized older adults, can facilitate interventions that could significantly reduce it. We aimed to examine the contribution of the Timed Up and Go (TUG) test in predicting Hospitalization Associated Functional Decline (HAFD) among older adults, able to independently ambulate before admission. We used a cross-sectional study design; a total of 310 older adults (age ≥ 65) hospitalized in internal medicine wards between December 2018 and August 2020 were included; exclusion criteria were inability to ambulate, a diagnosis restricting mobility, hospitalization for end-of-life care, or impaired cognition. The Modified Barthel Index was used to assess HAFD; it was administered at admission to evaluate patients' independence in activities of daily living 2 weeks prior hospitalization, and at discharge. The TUG test was performed on admission and to predict significant functional decline (defined by a reduction of three points or more in the Modified Barthel Index), while accounting for demographics, length of hospitalization, comorbidity burden (Charlson's comorbidity index), and cognitive function (ALFI-MMSE). Participants were divided into three groups according to their TUG score-under or over a cut-off score of 12 s, or inability to complete the test. Adjusting for age, comorbidity, cognitive ability, and duration of hospitalization, the group that performed the test in less than 12 s showed no statistically significant change in the Modified Barthel Index, therefore no significant HAFD. The other groups showed a statistically significant decline in function. Risk for significant HAFD is currently underestimated in clinical settings, limited to subjective assessment, and underused in the context of implementing early interventions to prevent HAFD. The TUG may support screening for those at risk of hospitalizing-associated functional decline and could help identify patients suitable for preventative interventions.