Knihovna AV ČR, v. v. i.
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Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Kayla O, Moore"'
1
Akademický článek
Deriving International Classification of Diseases, 9th and 10th revision, codes for identifying and following up patients with diabetic lower extremity ulcers
Autor: Xavier P. Fowler, MD, Mark A. Eid, MD, J. Aaron Barnes, MD, Kunal S. Mehta, MD, Reed W. Bratches, MPH, David Hu, BA, Ella Goodney, Mark A. Creager, MD, Mark P. Bonaca, MD, Mark W. Feinberg, MD, Kayla O. Moore, MPH, Barbara Gladders, MS, David G. Armstrong, DPM, MD, PhD, Philip P. Goodney, MD, MS
Publikováno v: Journal of Vascular Surgery Cases and Innovative Techniques, Vol 8, Iss 4, Pp 877-884 (2022)
Objective: Administrative claims data offer a rich data source for clinical research. However, its application to the study of diabetic lower extremity ulceration is lacking. Our objective was to create a widely applicable framework by which investig
Externí odkaz: https://doaj.org/article/bbabe7bc32b34dab9db056b0952ff112
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2
Akademický článek
Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling
Autor: Andrea M. Austin, Niveditta Ramkumar, Barbara Gladders, Jonathan A. Barnes, Mark A. Eid, Kayla O. Moore, Mark W. Feinberg, Mark A. Creager, Marc Bonaca, Philip P. Goodney
Publikováno v: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background This study illustrates the use of logistic regression and machine learning methods, specifically random forest models, in health services research by analyzing outcomes for a cohort of patients with concomitant peripheral artery d
Externí odkaz: https://doaj.org/article/48631c81ed824144bf4db48f30bb7037
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3
Effect of a Decision Aid on Agreement Between Patient Preferences and Repair Type for Abdominal Aortic Aneurysm: A Randomized Clinical Trial
Autor: Mark A, Eid, Michael J, Barry, Gale L, Tang, Peter K, Henke, Jason M, Johanning, Edith, Tzeng, Salvatore T, Scali, David H, Stone, Bjoern D, Suckow, Eugene S, Lee, Shipra, Arya, Benjamin S, Brooke, Peter R, Nelson, Emily L, Spangler, Leila, Murebee, Hasan H, Dosluoglu, Joseph D, Raffetto, Panos, Kougais, Luke P, Brewster, Olamide, Alabi, Alan, Dardik, Vivienne J, Halpern, Jessica B, O'Connell, Daniel M, Ihnat, Wei, Zhou, Brenda E, Sirovich, Kunal, Metha, Kayla O, Moore, Amy, Voorhees, Philip P, Goodney, Ashley, Langston
Publikováno v: JAMA surgery. 157(9)
Patients with abdominal aortic aneurysm (AAA) can choose open repair or endovascular repair (EVAR). While EVAR is less invasive, it requires lifelong surveillance and more frequent aneurysm-related reinterventions than open repair. A decision aid may
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a18427114357b4c2630bb467416a0c8
https://pubmed.ncbi.nlm.nih.gov/35947365
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4
The Impact of Work Status and Age in Choosing Type of Abdominal Aortic Aneurysm Repair
Autor: Yiyuan David Hu, James M. Jones, Catherine J. Sensenig, Mark A. Eid, Kunal Mehta, Jenaya L. Goldwag, Jonathan A. Barnes, Kayla O. Moore, Vivienne Halpern, Peter Henke, Gale Tang, Leila Mureebe, Olamide Alabi, Edith Tzeng, David Stone, Benjamin Brooke, Peter Nelson, Emily Spangler, Michael Barry, Ravinder Kang, Salvatore Scali, Jessica O'Connell, Philip Goodney
Publikováno v: Journal of Surgical Research. 275:149-154
The PReferences for Open Versus Endovascular Repair of Abdominal Aortic Aneurysm (PROVE-AAA) trial aimed to determine the efficacy of a validated decision aid to enable better alignment between patient preference and their ultimate repair. We sought
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3846bef920f51596a18a3c5b8a0dc86d
https://doi.org/10.1016/j.jss.2021.12.036
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5
Validation of an indirect linkage algorithm to combine registry data with Medicare claims R1WC: 331/2546
Autor: Jialin Mao, Kayla O. Moore, Jesse A. Columbo, Kunal S. Mehta, Philip P. Goodney, Art Sedrakyan
Publikováno v: J Vasc Surg
The linkage of registries to Medicare claims data can help extend follow-up for patients receiving medical devices. In the present study, we tested and validated an algorithm that does not require patient identifiers to link data from a national vasc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d59284c5533746c7da72c6bad3902f45
https://europepmc.org/articles/PMC9443721/
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6
Short-Term Concerns Primarily Determine Patient Preference for Abdominal Aortic Aneurysm Repair
Autor: J M Jones, Salvatore T. Scali, K S Mehta, Leila Mureebe, Edith Tzeng, Ravinder Kang, J L Goldwag, Peter K. Henke, Philip P. Goodney, Mark A Eid, Benjamin S. Brooke, J O'Connell, G Tang, Emily L. Spangler, Michael J. Barry, Peter R. Nelson, Kayla O. Moore, David H. Stone, O Alabi, Vivienne J. Halpern, C J Sensenig, J A Barnes, Y D Hu
Publikováno v: The Journal of surgical research. 269
Introduction Abdominal aortic aneurysm (AAA) repair may be performed through open or endovascular approaches, but the factors influencing a patient's repair-type preference are not well characterized. Here we performed a qualitative analysis to bette
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4a78bce91794d349fd7db06db256f7b
https://pubmed.ncbi.nlm.nih.gov/34551368
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7
Patient-reported outcomes for peripheral vascular interventions in the vascular quality initiative
Autor: Oliver Aalami, Ke Zhang, Megon Berman, Jessica P. Simons, Kim G. Smolderen, Dawn Pavia, Michael C. Stoner, Daniel J. Bertges, Leila Mureebe, Shannon Wheadon, Carrie Bosela, Jeff Lord, Matthew A. Corriere, Joanne Miller, Caroline Morgan, Livia de Guerre, Jens Eldrup-Jorgensen, Kate Maduzia, Kayla O. Moore, Scott S. Berman, Yazan Duwayri, Emily Knaeble, Gary W. Lemmon
Publikováno v: Journal of vascular surgery. 74(5)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc3b86f0d7dd7018ef9827506347f2d
https://pubmed.ncbi.nlm.nih.gov/34688397
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8
Translating coding lists in administrative claims-based research for cardiovascular procedures
Autor: Peter B. Anderson, John B. Rode, Kayla O. Moore, Sarah Y. Bessen, Spencer W. Trooboff, Zachary J. Wanken, Jesse A. Columbo, Philip P. Goodney
Publikováno v: J Vasc Surg
Background To effectively use administrative claims for healthcare research, clinical events must be inferred from coding data according to validated algorithms. In October 2015, the United States transitioned from the International Classification of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8576c62ac3d2d1e9f5fca3f31a7e6e
https://pubmed.ncbi.nlm.nih.gov/32081477
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9
Characterizing Reimbursements for Medicare Patients Receiving Endovascular Abdominal Aortic Aneurysm Repair at Vascular Quality Initiative Centers
Autor: Kayla O. Moore, Barbara Gladders, Philip P. Goodney, Bjoern D. Suckow, Spencer W. Trooboff, J. Aaron Barnes, Brian P. Lucas, Zachary J. Wanken, Art Sedrakyan, Jesse A. Columbo, David H. Stone
Publikováno v: Annals of vascular surgery. 62
Endovascular aortic aneurysm repair (EVR) has a major financial impact on health care systems. We characterized reimbursement for index EVR hospitalizations among Medicare beneficiaries having surgery at Vascular Quality Initiative (VQI) centers.We l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0006574092c7760e90c4e4101ebbb9bc
https://pubmed.ncbi.nlm.nih.gov/31610277
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10
A pilot study for long-term outcome assessment after aortic aneurysm repair using Vascular Quality Initiative data matched to Medicare claims
Autor: Art Sedrakyan, Andrew W. Hoel, Niveditta Ramkumar, Kayla O. Moore, Philip P. Goodney, Adrienne Faerber, Benjamin S. Brooke, Salvatore T. Scali
Publikováno v: Journal of vascular surgery. 66(3)
Objective Accurate and complete long-term postoperative outcome data are critical to improving value in health care delivery. The Society for Vascular Surgery Vascular Quality Initiative (VQI) is an important tool to achieve this goal in vascular sur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d9377a86143722253feceff4fa29a5c
https://pubmed.ncbi.nlm.nih.gov/28222989
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