EHRs Identify More Than 70 Conditions Predicting Alzheimer's In Vanderbilt Study
Vanderbilt Health
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Contributed by: HeLOS Intelligence
Summary
Vanderbilt University Medical Center's recent study has utilized electronic health records (EHRs) to uncover over 70 medical conditions that frequently precede Alzheimer's diagnoses, signaling a significant advancement in predictive healthcare. By analyzing extensive data from over 150 million individuals, the research identified conditions such as depression, insomnia, and Type 2 diabetes as potential early indicators of Alzheimer's risk. This correlation emphasizes the importance of EHRs in enabling early diagnosis and intervention, ultimately supporting healthcare professionals in proactively managing patients at risk. Furthermore, the study's validation with genetic data strengthens the case for integrating EHRs and genetics in routine clinical practice to improve Alzheimer's care and outcomes.
