Assessing the Seasonality of Lab Tests Among Patients with Alzheimer's Disease and Related Dementias in OneFlorida Data Trust.
Wenshan HanBalu BhasuranVictorine Patricia MuseSoren BrunakLifeng LinKarim HannaYu HuangJiang BianJiang BianPublished in: medRxiv : the preprint server for health sciences (2024)
About 1 in 9 older adults over 65 has Alzheimer's disease (AD), many of whom also have multiple other chronic conditions such as hypertension and diabetes, necessitating careful monitoring through laboratory tests. Understanding the patterns of laboratory tests in this population aids our understanding and management of these chronic conditions along with AD. In this study, we used an unimodal cosinor model to assess the seasonality of lab tests using electronic health record (EHR) data from 34,303 AD patients from the OneFlorida+ Clinical Research Consortium. We observed significant seasonal fluctuations-higher in winter in lab tests such as glucose, neutrophils per 100 white blood cells (WBC), and WBC. Notably, certain leukocyte types like eosinophils, lymphocytes, and monocytes are elevated during summer, likely reflecting seasonal respiratory diseases and allergens. Seasonality is more pronounced in older patients and varies by gender. Our findings suggest that recognizing these patterns and adjusting reference intervals for seasonality would allow healthcare providers to enhance diagnostic precision, tailor care, and potentially improve patient outcomes.
Keyphrases
- electronic health record
- healthcare
- clinical decision support
- peripheral blood
- end stage renal disease
- type diabetes
- blood pressure
- newly diagnosed
- ejection fraction
- chronic kidney disease
- big data
- cardiovascular disease
- prognostic factors
- machine learning
- health information
- drug induced
- metabolic syndrome
- signaling pathway
- glycemic control
- quality improvement
- chronic pain
- blood glucose
- artificial intelligence
- weight loss
- health insurance