Published online Jul 19, 2023. doi: 10.5498/wjp.v13.i7.478
Peer-review started: March 22, 2023
First decision: April 10, 2023
Revised: May 16, 2023
Accepted: June 21, 2023
Article in press: June 21, 2023
Published online: July 19, 2023
Processing time: 118 Days and 3 Hours
Comprehensive geriatric assessment (CGA) is a multidisciplinary approach that assesses the physical health, functional status, mental health and social-environmental status of older people. CGA can facilitate timely treatment, slow down the disease process and reduce dementia through multidimensional analysis of Mild cognitive impairment.
This study found that CGA allows accurate identification of mild cognitive impairment with high sensitivity and specificity, facilitating timely and effective intervention.
This study was conducted to evaluate the role of comprehensive geriatric assessment in screening for mild cognitive disorders.
Using Petersen as the diagnostic gold standard, healthy individuals were included in the control group and patients with mild cognitive impairment were assigned to the study group. The correlation between the cognitive function of the patients and their baseline clinical profiles was analysed. Patients' Montreal Cognitive Assessment (MoCA) and CGA screening results were compared, and the sensitivity and specificity were calculated to assess the screening role of CGA.
CGA assessment yielded higher diagnostic accuracy than MoCA. The results of the multivariate regression analysis showed no correlation of gender, age, body mass index and literacy with cognitive function. Patients with mild cognitive impairment obtained significantly lower MoCA scores than healthy individuals. In the CGA scale, patients with mild cognitive impairment showed significantly lower Mini-mental State Examination, Miniature Nutritional Assessment and Berg Balance Scale scores, and higher Activity of Daily Living, Instrumental Activities of Daily Living Scale and FRAIL scores than healthy individuals. The CGA provides higher diagnostic sensitivity and specificity than the MoCA.
CGA allows accurate identification of mild cognitive impairment with high sensitivity and specificity, facilitating timely and effective intervention, and is thus recommended for clinical use.
Future studies will expand the sample to further improve the protocol and provide more references for future relevant diagnostic treatments.