Altoida Celebrates Historic Day for Patients with Alzheimer’s Disease

Examination of Vascular Comorbidity and Alzheimer’s Progression Pathways

February 22, 2022Neelem Sheikh

Modifiable risk factors for Alzheimer’s disease, including diabetes, midlife hypertension, midlife obesity, smoking, physical inactivity, depression, and low educational attainment, contribute to up to half of Alzheimer’s cases globally (17.2 million) and in the U.S. (2.9 million). Researchers projected that if even a 10% to 25% reduction in all seven risk factors were to take place, it could potentially prevent as many as 1.1 to 3 million cases worldwide and 184,000 to 492,000 cases in the U.S.

It has long been known that vascular conditions, such as stroke and heart disease, as well as vascular risk factors, such as hypertension, hypercholesterolemia, type 2 diabetes, and obesity, may increase the risk of developing Alzheimer’s disease. However, more recent research suggests that in addition to contributing to the development of Alzheimer’s disease, some vascular risk factors may also contribute to the rate of progression of Alzheimer’s disease.

Understanding how comorbidities uniquely affect Alzheimer’s patients and their respective progression pathways at a hyper-personalized level is fundamental to informing precision medicine approaches to enable the most effective and personalized treatment and care possible.

Below, we provide a more detailed evaluation of vascular comorbidity and Alzheimer’s progression as well as steps toward precision medicine approaches in brain health.

Vascular Comorbidity and Alzheimer’s Progression

Over the years, there have been several studies assessing the impact of vascular risk factors on Alzheimer’s progression, with some suggesting that hypertension, hypercholesterolemia, and diabetes are associated with a greater rate of cognitive decline, while others did not show a significant influence of vascular risk factors on Alzheimer’s progression. Some studies even showed that diabetes was associated with a slower rate of neurocognitive decline in Alzheimer’s patients. It’s clear there is a link between vascular comorbidity and Alzheimer’s progression, but it’s unclear which particular vascular risk factor(s) are the primary factor(s) driving decline in neurocognitive function.

A 2011 study aimed to address this very question, assessing vascular risk factors, including hypertension, hypercholesterolemia, and diabetes, and their influence on the progression of Alzheimer’s disease. In addition to confirming the findings of previous studies regarding the influence of age at onset, education level, and occupational attainment, they found a strong correlation between hypertension and Alzheimer’s progression.

While there were no significant associations between diabetes or hypercholesterolemia and annual Mini-Mental State Exam (MMSE) scores, a multiple regression analysis revealed that hypertension was a significant variable associated with annual MMSE scores—more specifically, younger, more educated individuals with hypertension had a greater decline in annual MMSE scores. This suggests that hypertension may be a primary risk factor in driving decline in neurocognitive function.

Longitudinal Monitoring to Inform Precision Medicine Approaches

It is important to understand these associations between vascular comorbidity and Alzheimer’s progression, as understanding the unique manifestation of neurocognitive impairments, as well as the unique rates of progression in each Alzheimer’s patient, are fundamental to providing the most effective, precise, and personalized treatment and care for each patient.

As alluded to above, we are seeing a definite shift towards the incorporation of precision medicine approaches in neurology. To adequately inform precision medicine approaches in brain health as a whole, there is a need for sensitive longitudinal monitoring tools that can produce hyper-personalized, highly granular measures of neurocognitive function in high frequency.

Altoida: The World’s First Precision Neurology Platform and Medical Device

At Altoida, we are building the world’s-first precision neurology platform and app-based medical device—backed by 11 years of clinical validation—to accelerate and improve drug development, neurological disease research, and patient care.

By completing a series of augmented reality and motor activities designed to simulate complex ADLs on a smartphone or tablet, Altoida’s device extracts and provides new and robust measurements of neurocognitive function across 13 neurocognitive domains. Our device measures and analyzes nearly 800 multimodal cognitive and functional digital biomarkers. Through the collection of highly granular data from integrated smartphone or tablet sensors, Altoida’s device produces comprehensive neurocognitive domain scores.

Our web-based platform allows healthcare providers, researchers, and clinical stakeholders to manage and monitor patients. Patient data from Altoida’s tests and other health data, such as prescriptions, traditional biomarker data, and existing conditions, will be available in the platform and can be observed longitudinally to reveal trends and patterns.

This method, along with our innovative artificial intelligence, will pioneer fully digital predictive neurological disease diagnosis. After our recent Breakthrough Device designation by the FDA, Altoida’s device will provide patients with a predictive score that will enable a highly accurate prediction of whether a patient aged 55 and older will or will not convert from Mild Cognitive Impairment to Alzheimer’s disease.

 When this score is taken in conjunction with our neurocognitive domain scores, providers will be able to make specific, personalized conclusions about how neurological diseases are uniquely affecting their patients. This, in turn, will enable a personalized precision approach to treatment and care plan development for neurological disease patients.

To learn more about the connection between vascular comorbidity and Alzheimer’s progression or about Altoida’s Precision Neurology platform, contact us today.

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At Altoida, we use digital biomarkers to radically change the method of assessing brain health and cognitive diseases. After nearly two decades of research, we are developing a platform and device to measure and analyze cognitive biomarkers associated with cognitive impairment to evaluate perceptual and memory function.
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