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Tangalos, Eric G.

Mayo Clinic

Mayo Clinic

Citations 43

Telemedicine Barriers Associated with Regional Quality Measures
North, Frederick , Crane, Sarah J. , Takahashi, Paul Y. , Ward, William J. , Tulledge‐Scheitel, Sidna M. , Ytterberg, Karen L., Tangalos, Eric G., Stroebel, Robert J. , Takahashi, Paul

Telemedicine and e-Health | November 9, 2013 | Volume: 20 | Issue: 2 | Pages: 179-181

10.1089/tmj.2013.0167 Get It

Telemedicine practitioners are familiar with multiple barriers to delivering care at a distance. Licensing and reimbursement barriers are well known and are being addressed at national and state levels by the American Telemedicine Association. Another telemedicine barrier comes in the form of quality measures for diabetes. Minnesota medical practices are currently being compared on the proportion of their patients with diabetes who have attained goals for blood pressure, low-density lipoprotein cholesterol, and hemoglobin A1C. The quality measure for blood pressure specifically excludes measurements taken by the patient, thus precluding blood pressure telemonitoring as a way to meet the blood pressure goal. To counter this barrier, advocacy in telemedicine is needed so that telemonitoring as a data collection tool is included in quality measures.
Association of diabetes with amnestic and nonamnestic mild cognitive impairment
Roberts, Rosebud O., Geda, Yonas E. , Cha, Ruth H., Baertlein, Luke , Tangalos, Eric G., Ivnik, Robert J., Mielke, Michelle M. , Petersen, Ronald C. , Knopman, David S. , Cha, Ruth H., Pankratz, V. Shane , Boeve, Bradley F. , Mielke, Michelle M , Geda, Yonas E

Alzheimer's & Dementia | April 4, 2013 | Volume: 10 | Issue: 1 | Pages: 18-26

10.1016/j.jalz.2013.01.001 Get It

AbstractBackgroundType 2 diabetes may increase the risk of amnestic mild cognitive impairment (aMCI) through Alzheimer's disease (AD)‐related and vascular pathology and may also increase the risk of nonamnestic MCI (naMCI) through vascular disease mechanisms. We examined the association of type 2 diabetes with mild cognitive impairment (MCI) and MCI subtype (aMCI and naMCI) overall and by sex.MethodsParticipants were Olmsted County, Minnesota residents (70 years and older) enrolled in a prospective, population‐based study. At baseline and every 15 months thereafter, participants were evaluated using the Clinical Dementia Rating scale, a neurological evaluation, and neuropsychological testing for a diagnosis of normal cognition, MCI, and dementia by a consensus panel. Type 2 diabetes was ascertained from the medical records of participants at baseline.ResultsOver a median 4.0 years of follow‐up, 348 of 1450 subjects developed MCI. Type 2 diabetes was associated (hazard ratio [95% confidence interval]) with MCI (1.39 [1.08–1.79]), aMCI (1.58 [1.17–2.15]; multiple domain: 1.58 [1.01–2.47]; single domain: 1.49 [1.09–2.05]), and the hazard ratio for naMCI was elevated (1.37 [0.84–2.24]). Diabetes was strongly associated with multiple‐domain aMCI in men (2.42 [1.31–4.48]) and an elevated risk of multiple domain naMCI in men (2.11 [0.70–6.33]), and with single domain naMCI in women (2.32 [1.04–5.20]).ConclusionsDiabetes was associated with an increased risk of MCI in elderly persons. The association of diabetes with MCI may vary with subtype, number of domains, and sex. Prevention and control of diabetes may reduce the risk of MCI and Alzheimer's disease.
Comparison of memory fMRI response among normal, MCI, and Alzheimer’s patients
Ward, H. A., Borowski, Bret, Gunter, Jeffrey L. , H., R., O’Brien, Peter C. , Petersen, Ronald C. , Tang‐Wai, David F. , Ivnik, Robert J., Tangalos, Eric G., Jack, Clifford R. , Machulda, Mary M. , Boeve, Bradley F. , Knopman, David S. , Smith, Glenn E. , Jack, Clifford R

Neurology | May 13, 2012 | Volume: 61 | Issue: 4 | Pages: 500-506

10.1212/01.wnl.0000079052.01016.78 Get It

Total intracranial volume: Normative values and lack of association with Alzheimer’s disease
Edland, Steven D. , Plevak, Matt, O’Brien, Peter C. , Tangalos, Eric G., Petersen, Ronald C. , Jack, Clifford R. , Xu, Yue Cheng , Jack, Clifford R

Neurology | May 13, 2012 | Volume: 59 | Issue: 2 | Pages: 272-274

10.1212/wnl.59.2.272 Get It

Prospective analysis of risk factors for nursing home placement of dementia patients
O’Brien, Peter C. , Ivnik, Robert J., Kokmen, E., Tangalos, Eric G., Smith, Glenn E.

Neurology | May 13, 2012 | Volume: 57 | Issue: 8 | Pages: 1467-1473

10.1212/wnl.57.8.1467 Get It

Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review) [RETIRED]
Petersen, Ronald C. , Stevens, J E , Tangalos, Eric G., DeKosky, Steven T. , Ganguli, Mary , Cummings, Jeffrey L.

Neurology | May 13, 2012 | Volume: 56 | Issue: 9 | Pages: 1133-1142

10.1212/wnl.56.9.1133 Get It

Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, Clifford R. , Petersen, Ronald , Xu, Yun , O’Brien, Peter C. , Ivnik, Robert J., Waring, Stephen C. , Tangalos, Eric G., Kokmen, E., Smith, Glenn E. , Boeve, Bradley F. , Waring, Stephen C. , Jack, Clifford R

Neurology | May 13, 2012 | Volume: 52 | Issue: 7 | Pages: 1397-1397

10.1212/wnl.52.7.1397 Get It

Postmenopausal estrogen replacement therapy and risk of AD
Waring, Stephen C. , Rocca, Walter A. , Petersen, Ronald C. , O’Brien, Peter C. , Tangalos, Eric G., Kokmen, E., Waring, Stephen C.

Neurology | May 13, 2012 | Volume: 52 | Issue: 5 | Pages: 965-965

10.1212/wnl.52.5.965 Get It

Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, Clifford R. , Shiung, Maria M., Gunter, Jeffrey L. , O’Brien, Peter C. , Weigand, Stephen D. , Ivnik, Robert J., Cha, R. H., Tangalos, Eric G., Petersen, Ronald C. , Knopman, David S. , Boeve, Bradley F. , Smith, Glenn E. , Cha, R. H., Jack, Clifford R

Neurology | May 13, 2012 | Volume: 62 | Issue: 4 | Pages: 591-600

10.1212/01.wnl.0000110315.26026.ef Get It