Patterns of cognitive change in elderly patients during and 6 months after hospitalisation: a prospective cohort study.
BACKGROUND
The extent and patterns of cognitive change regularly occurring in elderly patients who experience prolonged hospitalisation have not been well examined.


OBJECTIVE
To describe patterns of cognitive change during and 6 months after hospitalisation and to identify prognostic factors associated with different patterns of changes.


METHODS
A prospective cohort study.


METHODS
Five med-surgical units at a tertiary hospital in Taipei, Taiwan.


METHODS
Patients ≥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.


METHODS
Cognition 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.


RESULTS
Four 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 <12 g/dL.


CONCLUSIONS
Cognitive 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 <12 g/dL, most of which are potentially modifiable factors.
Chen
Cheryl Chia-Hui
CC
School of Nursing, National Taiwan University, Taipei, Taiwan, ROC.
Chiu
Ming-Jang
MJ
Chen
Sui-Pi
SP
Cheng
Chia-Min
CM
Huang
Guan-Hua
GH
D000368:Aged; D003071:Cognition; D005260:Female; D006760:Hospitalization; D006801:Humans; D007902:Length of Stay; D008297:Male; D011379:Prognosis; D011446:Prospective Studies