A nomogram to predict the risk of cognitive impairment in patients with depressive disorder

This study was to describe the cognitive function status in patients with depressive disorder and to construct a nomogram model to predict the risk factors of cognitive impairment in these patients. From October 2019 to February 2021, a total of 141 patients with depressive disorder completed the su...

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Bibliographic Details
Published in:Research in nursing & health 2024-06, Vol.47 (3), p.302-311
Main Authors: Jian, Ya‐Ling, Jia, Shoumei, Shi, Shenxun, Shi, Zhongying, Zhao, Ying
Format: Article
Language:English
Subjects:
Cognitive ability
cognitive function
Cognitive functioning
Cognitive impairment
Depressive personality disorders
Hospitals
independent risk factors
major depressive disorder
Mental depression
nomogram
Nomograms
Regression analysis
Risk factors
Sleep
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Summary:This study was to describe the cognitive function status in patients with depressive disorder and to construct a nomogram model to predict the risk factors of cognitive impairment in these patients. From October 2019 to February 2021, a total of 141 patients with depressive disorder completed the survey in two hospitals. The Montreal cognitive assessment (MoCA) was used with a cutoff score of 26 to differentiate cognitive impairment. Univariable and multivariable logistic regression analyses were conducted to identify independent risk factors. A nomogram was then constructed based on the results of the multivariable logistic regression analysis. The patients had an average MoCA score of 23.99 ± 3.02. The multivariable logistic regression analysis revealed that age (OR: 1.096, 95% CI: 1.042–1.153, p 
ISSN:0160-6891
1098-240X
1098-240X
DOI:10.1002/nur.22364