Markers for the detection of Lewy body disease versus Alzheimer's disease in mild cognitive impairment: a systematic review and meta-analysis.

BACKGROUND: Mild cognitive impairment (MCI) may evolve into dementia. Early recognition of possible evolution to Alzheimer's disease (AD) and dementia with Lewy Bodies (DLB) is of importance, but actual diagnostic criteria have some limitations. In this systematic review and meta-analysis, we aimed to find the most accurate markers that can discriminate patients with DLB versus AD, in MCI stage. METHODS: We searched several databases up to 17 August 2023 including studies comparing markers that may distinguish DLB-MCI from AD-MCI. We reported data regarding sensitivity, specificity, and the area under the curves (AUCs) with their 95% confidence intervals (CIs). RESULTS: Among 2219 articles initially screened, eight case-control studies and one cohort study were included for a total of 832 outpatients with MCI. The accuracy of cerebrospinal fluid (CSF) markers was the highest among the markers considered (AUC > 0.90 for the CSF markers), with the AUC of CSF Aß42/Aß40 of 0.94. The accuracy for clinical symptom scales was very good (AUC = 0.93), as evaluated in three studies. Although limited to one study, the accuracy of FDG-PET (cingulate island sign ratio) was very good (AUC = 0.95) in discriminating DLB from AD in MCI, while the accuracy of SPECT markers and EEG frequencies was variable. CONCLUSIONS: Few studies have assessed the accuracy of biomarkers and clinical tools to distinguish DLB from AD at the MCI stage. While results are promising for CSF markers, FDG-PET and clinical symptoms scales, more studies, particularly with a prospective design, are needed to evaluate their accuracy and clinical usefulness. CLINICAL TRIAL REGISTRATION: Prospero (CRD42023422600).

Validation of a Brief Form of the Self-Administered Multidimensional Prognostic Index: The SELFY-BRIEF-MPI Project.

In clinical practice, self-administered and brief tools to promptly identify older people at risk of frailty are required. The Multidimensional Prognostic Index (MPI), derived from the Comprehensive Geriatric Assessment (CGA) seems reliable enough to serve this purpose, but despite the several versions developed over the past 15 years, it lacks a self-administered and brief version. In this study, we aimed to evaluate the agreement between an abbreviated form of the SELFY-MPI (i.e., SELFY-BRIEF-MPI) and the standard version of the MPI. Four Italian hospitals consecutively enrolled outpatients and inpatients >65 years. The sample included 105 participants (mean age = 78.8 years, 53.3% females). Overall, the two versions showed non-statistically significant differences (Standard-MPI 0.42 ± 0.19 vs.. SELFY-BRIEF-MPI 0.41 ± 0.18; p = 0.104) and a very strong correlation (R = 0.86, p < 0.001). The Bland-Altman Plot revealed that only 5/105 measurements (4.76%) were outside the limits of agreement. The accuracy of the SELFY-BRIEF-MPI in identifying frail people (defined as a Standard-MPI > 0.66) was optimal (area under the curve, AUC = 0.90, p < 0.001). To predict multidimensional frailty, a SELFY-BRIEF-MPI score of 0.60 exhibited the greatest sensitivity/specificity ratio. In conclusion, the SELFY-BRIEF-MPI reported a good agreement with the standard version of the MPI, indicating its application in the screening of multidimensional frailty among older people.