Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

A mechanistic understanding of treatment-related outcomes of sleep disordered breathing using functional near infrared spectroscopy

Award Number: R01HL167012
ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 02/01/2023
PERIOD OF PERFORMANCE END DATE: 01/31/2028

Group Awards By:

View Award Description

A mechanistic understanding of treatment-related outcomes of sleep disordered breathing using functional near infrared spectroscopy - PROJECT SUMMARY Sleep disordered breathing (SDB), characterized by snoring and sleep disruption, affects one in ten children. Adverse outcomes of SDB such as problem behaviors, sleepiness, and lower quality of life contribute to poor classroom performance and are thought to be related to structural and functional alterations within the prefrontal cortex (PFC) of the brain. All clinical societies therefore support universal screening for SDB in children and its treatment by removal of tonsils and adenoids (adenotonsillectomy or ‘AT’), a surgery performed in 500,000 chil- dren annually in the United States alone. However, some children also experience spontaneous resolution of SDB and therefore watchful waiting is also an acceptable treatment option for these children. Currently there are no uniformly accepted criteria for children likely to benefit from AT as opposed to watchful waiting. Polysomnog- raphy is currently used for stratification of SDB severity. However, polysomnographic parameters neither corre- late with behavior, cognition, or quality of life nor the outcomes of AT in children with SDB. Therefore, two major gaps in knowledge exist, which include the lack of (i) understanding the mechanism by which AT impacts SDB outcomes, and (ii) a predictive model for selection of children likely to benefit from AT. Addressing these gaps could improve patient selection, reduce harm, and increase parental satisfaction related to one of the most com- mon pediatric surgical procedures. We have shown that the relationship between SDB and children’s behavior is mediated by structural alterations within or close to the PFC. Using functional near-infrared spectroscopy (fNIRS), we have further demonstrated that regional brain activation within the prefrontal cortex (PFC) correlates with behavioral measures in children with SDB. Using a range of data science techniques, we have additionally shown that polysomnographic param- eters do not predict SDB or AT outcomes. Here we propose the use of a novel biomarker for functional activation of the PFC using fNIRS and baseline patient characteristics to predict outcomes of children undergoing SDB treatment. In 200 children undergoing management of SDB by early AT or a strategy of watchful waiting at two large and diverse clinical practices, our specific aims include: Aim 1) To determine the extent to which cognitive outcomes of AT are mediated by PFC activation, Aim 2) To determine the extent to which parent-reported out- comes of AT are mediated by PFC activation, and Aim 3) To develop a predictive model for SDB treatment outcomes using demographic, anthropometric, polysomnographic, and fNIRS variables. Using a multidisciplinary approach with world-class expertise in data science approaches, this proposal seeks to address gaps in our mechanistic understanding of AT outcomes and establish an objective, child-friendly, and cost-effective ap- proach for identification of surgical candidates.


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: 2026 ( Subtotal = $582,192 )
2026	2026	UNIVERSITY OF MARYLAND, BALTIMORE	220 ARCH ST OFC LEVEL2	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	000	4	5/27/2026	NON-COMPETING CONTINUATION	$582,192
														Subtotal = $582,192

Issue Date FY: 2025 ( Subtotal = $593,214 )
2025	2025	UNIVERSITY OF MARYLAND, BALTIMORE	220 ARCH ST OFC LEVEL2	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	000	3	2/25/2025	NON-COMPETING CONTINUATION	$533,892
2025	2025	UNIVERSITY OF MARYLAND, BALTIMORE	220 ARCH ST OFC LEVEL2	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	001	3	7/24/2025	NON-COMPETING CONTINUATION	$59,322
														Subtotal = $593,214

Issue Date FY: 2024 ( Subtotal = $581,266 )
2024	2024	UNIVERSITY OF MARYLAND, BALTIMORE	220 ARCH ST OFC LEVEL2	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	000	2	2/16/2024	NON-COMPETING CONTINUATION	$533,816
2024	2024	UNIVERSITY OF MARYLAND, BALTIMORE	220 ARCH ST OFC LEVEL2	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	001	2	6/20/2024	NON-COMPETING CONTINUATION	$47,450
														Subtotal = $581,266

Issue Date FY: 2023 ( Subtotal = $581,851 )
2023	2023	UNIVERSITY OF MARYLAND	220 ARCH ST RM 02148	BALTIMORE	MD	21201	BALTIMORE CITY	USA	National Center on Sleep Disorders Research	000	1	1/26/2023	NEW	$581,851
														Subtotal = $581,851

Grand Total All Awards = $2,338,523

Top

All Categories

About

Search

Reports

Data Submission

Award Information

A mechanistic understanding of treatment-related outcomes of sleep disordered breathing using functional near infrared spectroscopy

Award Number: R01HL167012

ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 02/01/2023

PERIOD OF PERFORMANCE END DATE: 01/31/2028

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer