Patterns of cognitive change in elderly patients during and 6 months after hospitalisation: A prospective cohort study

Abstract

BackgroundThe extent and patterns of cognitive change regularly occurring in elderly patients who experience prolonged hospitalisation have not been well examined. ObjectiveTo describe patterns of cognitive change during and 6 months after hospitalisation and to identify prognostic factors associated with different patterns of changes. DesignA prospective cohort study. SettingFive med-surgical units at a tertiary hospital in Taipei, Taiwan. ParticipantsPatients ≥65 years old without preexisting profound cognitive impairment (Mini-Mental State Examination score ≥20) and with an expected hospital length of stay >5 days were drawn from consecutive admissions. Of 351 patients, 82.9% (138 women, 153 men, mean age=71.6 years) completed all four scheduled assessments. MethodsCognition was measured by the Mini-Mental State Examination at 4 times: admission, discharge, and 3 and 6 months post-discharge. Possible prognostic factors at admission included demographics, comorbidities, number of medications, serum haemoglobin, length of hospital stay, and surgery. ResultsFour cognitive-change patterns with a high prevalence of decline were identified by cluster analysis. The worsening then improve group (n=47) had a deep V-shape with a mean fluctuation of 3.9 points on the Mini-Mental State Examination, and the low continuous group (n=83) had little change. Both the start high and decline (n=66) and start low and decline (n=95) groups showed persistent and accelerated declines, with baseline cognitive scores of 29.1 and 25.5 points, respectively. Predictor variables at admission for different patterns of cognitive change were age, total education (years), cardiovascular comorbidities, number of medications, functional and nutritional status, depressive symptoms, surgical treatment, and haemoglobin level <12g/dL. ConclusionsCognitive decline during and after hospitalisation shows four heterogeneous patterns of change. Different patterns of change were predicted by age, education, cardiovascular comorbidities, number of medications, functional and nutritional status, depressive symptoms, surgical treatment, and haemoglobin level <12g/dL, most of which are potentially modifiable factors.