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Sleep-Wake Disturbance as a Predictor of Delirium and Subsequent Alzheimer's Disease and Related Dementias after Surgical Aortic Valve Replacement

Award Number: K23AG072383
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

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Sleep-Wake Disturbance as a Predictor of Delirium and Subsequent Alzheimer's Disease and Related Dementias after Surgical Aortic Valve Replacement - Project Summary/Abstract Applicant: I am a consultation-liaison psychiatrist keenly interested in delirium and the role that sleep-wake disturbance (SWD) plays in delirium vulnerability, its pathogenesis, and its relationship with subsequent Alzheimer’s disease and related dementias (ADRD). My mission is to improve the care and clinical outcomes of those with and at risk for delirium and to be a champion for excellence in care for older adults. This application is designed for me to obtain expertise in longitudinal study conduct and design, assessment of SWD, neuropsychological training relevant to delirium and the two neurocognitive disorders associated with it (Alzheimer’s disease and vascular neurocognitive disorder), and a solid background in statistical methods to become an independent physician-scientist. Project: I am proposing a prospective cohort study of subjects undergoing surgical aortic valve replacement with the goal of investigating objective SWD before surgery—both actigraphy and unattended type II home sleep tests (HST)—for its association with postoperative delirium and subsequent ADRD. This study represents a novel application of type II HST, which provides comprehensive assessment of sleep architecture, to characterize preoperative SWD as a marker of delirium risk and evidence in support of a mechanistic link between delirium and subsequent Alzheimer’s disease or vascular neurocognitive disorder. Professional development: I will obtain practical experience in empirical methods by conducting a longitudinal study with expertise in assessing SWD using unattended methods, neuropsychological testing, and relevant statistics. My training plan incorporates hands-on experiences in sleep medicine, neuropsychology, and statistics, complemented by coursework and directed readings that will provide the necessary theoretical foundation. Goals: My career goals are to establish an interdisciplinary research program at URMC with cardiac surgery and sleep medicine, to explore how SWD is mechanistically involved in delirium risk, onset, and its dire outcomes, and to advance the science of delirium pathophysiology and subsequent risk of ADRD.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $181,040 )
2025	2025	UNIVERSITY OF ROCHESTER	910 GENESEE ST	ROCHESTER	NY	14611	MONROE	USA	Aging Research	000	4	1/23/2025	NON-COMPETING CONTINUATION	$181,040
														Subtotal = $181,040

Issue Date FY: 2024 ( Subtotal = $180,949 )
2024	2024	UNIVERSITY OF ROCHESTER	910 GENESEE ST	ROCHESTER	NY	14611	MONROE	USA	Aging Research	000	3	2/14/2024	NON-COMPETING CONTINUATION	$180,949
														Subtotal = $180,949

Issue Date FY: 2023 ( Subtotal = $180,980 )
2023	2023	UNIVERSITY OF ROCHESTER	910 GENESEE ST	ROCHESTER	NY	14611	MONROE	USA	Aging Research	000	2	5/3/2023	NON-COMPETING CONTINUATION	$180,980
														Subtotal = $180,980

Issue Date FY: 2022 ( Subtotal = $180,964 )
2022	2022	UNIVERSITY OF ROCHESTER	500 JOSEPH C WILSON BLVD	ROCHESTER	NY	14627	MONROE	USA	Aging Research	000	1	2/17/2022	NEW	$180,964
														Subtotal = $180,964

Grand Total All Awards = $723,933

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Sleep-Wake Disturbance as a Predictor of Delirium and Subsequent Alzheimer's Disease and Related Dementias after Surgical Aortic Valve Replacement

Award Number: K23AG072383

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

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