BACKGROUND: Recent criteria allow biomarkers to provide evidence of @entity195 ( @entity195 ) pathophysiology. How they should be implemented in daily practice remains unclear, especially in @entity73 ( @entity73 ) @entity1 . OBJECTIVE: We evaluated how a clinical decision support system such as the PredictAD tool can aid clinicians to integrate biomarker evidence to support @entity195 diagnosis. METHODS: With available data on demographics, cerebrospinal fluid (CSF), and MRI, we trained the PredictAD tool on a reference population of 246 controls and 491 @entity195 @entity1 . We then applied the identified algorithm to 211 @entity73 @entity1 . For comparison, we also classified @entity1 based on individual biomarkers (MRI; CSF) and the NIA-AA criteria. Progression to @entity303 was used as outcome measure. RESULTS: After a median follow up of 3 years, 72 (34%) @entity73 @entity1 remained stable and 139 (66%) progressed to @entity195 . The PredictAD tool assigned a likelihood of underlying @entity195 to each @entity1 (AUC 0.82). Excluding @entity1 with missing data resulted in an AUC of 0.87. According to the NIA-AA criteria, half of the @entity73 @entity1 had uninformative biomarkers, precluding an assignment of @entity195 likelihood. A minority (41%) was assigned to high or low @entity195 likelihood with good predictive value. The individual biomarkers showed best value for CSF total tau (AUC 0.86). CONCLUSION: The ability of the PredictAD tool to identify @entity195 pathophysiology was comparable to individual biomarkers. The PredictAD tool has the advantage that it assigns likelihood to all @entity1 , regardless of missing or conflicting data, allowing clinicians to integrate biomarker data in daily practice.

Integrating Biomarkers for Underlying XXXX in Mild @entity73 in Daily Practice: Comparison of a Clinical Decision Support System with Individual Biomarkers.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity73 :: ('MESH:D003072', 'Disease') :: ['MCI', 'mild cognitive impairment'] @entity303 :: ('MESH:D003704', 'Disease') :: ['dementia'] @entity195 :: ('MESH:D000544', 'Disease') :: ['AD', "Alzheimer's disease"]
@entity195 :: (MESH:D000544,Disease) :: ['Alzheimer's Disease']
