Tag: Alzheimer's disease

Mortality Stays Slightly Elevated: Globe Life Exec

Mary Pat Campbell

Link:https://www.thinkadvisor.com/2024/07/30/mortality-stays-slightly-elevated-globe-life-exec/

Excerpt:

Since the COVID-19 pandemic began, in early 2020, Globe Life has been one of the life insurers that’s been quickest to give analysts candid assessments of U.S. mortality.

Mortality is much lower than it was when pandemic-related mortality was peaking, and mortality trends are now helping, not, hurting, Globe Life’s earnings, Kalmbach said.

“Mortality has been fairly consistent over the last few quarters, which has been good,” he said.

He sees the mortality rate from accidents and other nonmedical causes improving.

….

“Heart disease and cancer, although improved, are still a little bit higher,” he said. “Another one that remains elevated as a cause of death is neurological disorders, which would be stroke and Alzheimer’s. We’re keeping an eye on that.”

Author(s): Allison Bell

Publication Date: 30 July 2024

Publication Site: think Advisor

The amazing power of “machine eyes”

Mary Pat Campbell

Link: https://erictopol.substack.com/p/the-amazing-power-of-machine-eyes

Graphic:

Excerpt:

Today’s report on AI of retinal vessel images to help predict the risk of heart attack and stroke, from over 65,000 UK Biobank participants, reinforces a growing body of evidence that deep neural networks can be trained to “interpret” medical images far beyond what was anticipated. Add that finding to last week’s multinational study of deep learning of retinal photos to detect Alzheimer’s disease with good accuracy. In this post I am going to briefly review what has already been gleaned from 2 classic medical images—the retina and the electrocardiogram (ECG)—as representative for the exciting capability of machine vision to “see” well beyond human limits. Obviously, machines aren’t really seeing or interpreting and don’t have eyes in the human sense, but they sure can be trained from hundreds of thousand (or millions) of images to come up with outputs that are extraordinary. I hope when you’ve read this you’ll agree this is a particularly striking advance, which has not yet been actualized in medical practice, but has enormous potential.

Author(s): Eric Topol

Publication Date: 4 Oct 2022

Publication Site: Eric Topol’s substack, Ground Truths

People With Dementia Are Twice As Likely To Get Covid-19 And Four Times More Likely To Die From It

Mary Pat Campbell

Link: https://www.forbes.com/sites/mishagajewski/2021/02/09/people-with-dementia-are-twice-as-likely-to-get-covid-19-and-four-times-more-likely-to-die-from-it/

Graphic:

Excerpt:

Patients with dementia are at higher risk for Covid-19 and are more likely to have worse outcomes, according to a new study published today.

The study, led by Case Western Reserve University researchers, reviewed electronic health records of 61.9 million adults in the United States and found that the risk for contracting Covid-19 was twice as high for people with dementia compared to the general population.

The risk was even greater still for African Americans with dementia, who were found to be close to three times as likely to be infected with Covid-19.

….

The study, which was published in the journal Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, also found that certain types of dementia had a greater risk than others.

Author(s): Misha Gajewski

Publication Date: 9 February 2021

Publication Site: Forbes

Research establishes a new method to predict individual risk of cognitive decline

Mary Pat Campbell

Link: https://medicalxpress.com/news/2021-02-method-individual-cognitive-decline.html

Excerpt:

The early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer’s disease. A recent study, published in the Journal of Alzheimer’s Disease, by researchers at the University of Kentucky establishes what they believe is a new way to predict the risk years before a clinical diagnosis. Their work shows that direct measures of brain signatures during mental activity are more sensitive and accurate predictors of memory decline than current standard behavioral testing.

“Many studies have measured electrophysiological rhythms during resting and sleep to predict Alzheimer’s risk. This study demonstrates that better predictions of a person’s cognitive risk can be made when the brain is challenged with a task. Additionally, we learned that out of thousands of possible brain oscillation measures, left-frontal brainwaves during so-called working memory tasks are good predictors for dementia risk,” explained lead investigator Yang Jiang, associate professor of behavioral sciences and an affiliated faculty member at the Sanders-Brown Center on Aging.

Author(s): University of Kentucky (it’s a press release)

Publication Date: 5 February 2021

Publication Site: Medical Xpress