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Updated: Apr 23, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Mini-Mental State Examination as a diagnostic and screening test for delirium: systematic review and
Alex J Mitchell1, Deepak Shukla1, Hafsa A Ajumal2
1Leicester General Hospital, Leicester Partnership Trust, Leicester LE5 4PW, UK.
Objective:
To analyse the evidence concerning the accuracy of the Mini-Mental State Examination (MMSE) as a diagnostic and screening test for the presence of delirium in adults.
Method:
Two authors searched MEDLINE, PsychINFO and EMBASE from inception till March 2014. Articles were included that investigated the diagnostic validity of the MMSE to detect delirium against standardised criteria. A diagnostic validity meta-analysis was conducted.
Results:
Thirteen studies were included representing 2017 patients in medical settings of whom 29.4% had delirium. The meta-analysis revealed the MMSE had an overall sensitivity and specificity estimate of 84.1% and 73.0%, but this was 81.1% and 82.8% in a subgroup analysis involving robust high quality studies. Sensitivity was unchanged but specificity was 68.4% (95% CI = 50.9-83.5%) in studies using a predefined cutoff of <24 to signify a case. In high-risk samples where delirium was present in 25% of patients, then the Positive predictive value and Negative predictive value would be 50.9% (48.3-66.2%) and 93.2% (90.0-96.5%).
Conclusion:
The MMSE cannot be recommended as a case-finding confirmatory test of delirium, but may be used as an initial screen to rule out high scorers who are unlikely to have delirium with approximately 93% accuracy.
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