Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Alexandra K, Lee"'
Autor:
Howard H. Moffet, Elbert S. Huang, Jennifer Y. Liu, Melissa M. Parker, Kasia J. Lipska, Neda Laiteerapong, Richard W. Grant, Alexandra K. Lee, Andrew J. Karter
Publikováno v:
Diabetes Epidemiology and Management, Vol 12, Iss , Pp 100162- (2023)
Objective: To estimate rates of severe hypoglycemia and falls among older adults with diabetes and evaluate their association. Research Design and Methods: Survey in an age-stratified, random sample adults with diabetes age 65–100 years; respondent
Externí odkaz:
https://doaj.org/article/6aba44f548724af59d303879edecb3c6
Autor:
William James Deardorff, Bocheng Jing, Sun Y. Jeon, W. John Boscardin, Alexandra K. Lee, Kathy Z. Fung, Sei J. Lee
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Electronic health record (EHR) prediction models may be easier to use in busy clinical settings since EHR data can be auto-populated into models. This study assessed whether adding functional status and/or Medicare claims data (wh
Externí odkaz:
https://doaj.org/article/ed03503a99874d90af66c8731290287e
Autor:
Alexandra K Lee
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 8, Iss 1 (2020)
Introduction For older adults with type 2 diabetes, the American Diabetes Association (ADA) Framework uses comorbidities and functional status to categorize patients by estimated life expectancy to guide individualization of glycemic treatment. We ev
Externí odkaz:
https://doaj.org/article/9e486c0a796049d58f62c951ac523ae5
Autor:
Lauren J. Hunt, Kenneth E. Covinsky, Irena Cenzer, Edie Espejo, W. John Boscardin, Heather Leutwyler, Alexandra K. Lee, Janine Cataldo
Publikováno v:
Journal of General Internal Medicine. 38:1697-1704
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a5eaad886c6a5066b7287e0d5d7fbf
https://doi.org/10.1007/s11606-022-07980-w
https://doi.org/10.1007/s11606-022-07980-w
Autor:
Matthew E. Growdon, Siqi Gan, Kristine Yaffe, Alexandra K. Lee, Timothy S. Anderson, Ulrike Muench, W. John Boscardin, Michael A. Steinman
Publikováno v:
Journal of the American Geriatrics Society. 71:1134-1144
Hospitalizations among people with dementia (PWD) may precipitate behavioral changes, leading to the psychotropic medication use despite adverse outcomes and limited efficacy. We sought to determine the incidence of new psychotropic medication use am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c6d9431bfd57f4fb2458ceef9cbc27
https://doi.org/10.1111/jgs.18161
https://doi.org/10.1111/jgs.18161
Publikováno v:
Journal of the American Geriatrics Society. 70:3176-3184
Guidelines recommend nursing home (NH) residents with cognitive impairment receive less intensive glycemic treatment and less frequent fingerstick monitoring. Our objective was to determine whether current practice aligns with guideline recommendatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e628a9d08dbcdd0a7d7277fd3e0d384b
https://doi.org/10.1111/jgs.17962
https://doi.org/10.1111/jgs.17962
Autor:
Lauren J. Hunt, Siqi Gan, Alexander K. Smith, Melissa D. Aldridge, W. John Boscardin, Krista L. Harrison, Jennifer E. James, Alexandra K. Lee, Kristine Yaffe
Publikováno v:
Journal of Palliative Medicine.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd05e2976eacd7d269f1cf87c545ae41
https://doi.org/10.1089/jpm.2023.0011
https://doi.org/10.1089/jpm.2023.0011
Autor:
Bocheng, Jing, W John, Boscardin, W James, Deardorff, Sun Young, Jeon, Alexandra K, Lee, Anne L, Donovan, Sei J, Lee
Publikováno v:
Med Care
BACKGROUND: It is unclear whether machine learning methods yield more accurate electronic health record (EHR) prediction models compared to traditional regression methods. OBJECTIVE: To compare machine learning and traditional regression models for 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10f7e2f842063537f09e34319ec8585d
https://doi.org/10.1097/mlr.0000000000001720
https://doi.org/10.1097/mlr.0000000000001720
Publikováno v:
Journal of the American Geriatrics Society. 70(10)
Many clinical and financial decisions for older adults depend on the future risk of disability and mortality. Prognostic tools for long-term disability risk in a general population are lacking. We aimed to create a comprehensive prognostic tool that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc9b1df5b41175a0209bb3e9f16ac4d7
https://pubmed.ncbi.nlm.nih.gov/35792836
https://pubmed.ncbi.nlm.nih.gov/35792836
Autor:
Amil M. Shah, B. Gwen Windham, Alexandra K. Lee, Chiadi E Ndumele, Justin B. Echouffo-Tcheugui, Elizabeth Selvin, Olive Tang, Natalie Daya
Publikováno v:
Diabetes Care
OBJECTIVE To assess the association of severe hypoglycemia measured at baseline with cardiovascular disease (CVD) among community-dwelling older individuals with diabetes, a group particularly susceptible to hypoglycemia. RESEARCH DESIGN AND METHODS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5baec915a540be79be6793d8e4dca083
https://doi.org/10.2337/dc20-0552
https://doi.org/10.2337/dc20-0552