Faculty Opinions recommendation of Obstructive sleep apnea-hypopnea and neurocognitive functioning in the Sleep Heart Health Study.

2006 ◽  
Author(s):  
Mary Ip
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Neurocognitive Functioning ◽  
Health Study ◽  
Heart Health ◽  
Obstructive Sleep

Obstructive sleep apnea–hypopnea and neurocognitive functioning in the Sleep Heart Health Study

2006 ◽  
Vol 7 (6) ◽  
pp. 498-507 ◽  
Author(s):  
Stuart F. Quan ◽  
Ron Wright ◽  
Carol M. Baldwin ◽  
Kristine L. Kaemingk ◽  
James L. Goodwin ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Neurocognitive Functioning ◽  
Health Study ◽  
Heart Health ◽  
Obstructive Sleep

scholarly journals 0572 Using Anthropometric Measures to Screen for Obstructive Sleep Apnea in the Sleep Heart Health Study Cohort

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A219-A219
Author(s):  
K D Vana ◽  
G E Silva ◽  
J D Carreon ◽  
S F Quan
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Health Study ◽  
Heart Health ◽  
Height Ratio ◽  
Cut Point ◽  
Proxy Variables ◽  
Obstructive Sleep ◽  
Significant Difference

Abstract Introduction Individuals at high risk for obstructive sleep apnea (OSA) may not access sleep clinics for reasons including immobility, transportation difficulties, or living in rural areas. An easy-to-administer OSA screening tool for different body types, independent of witnessed apneas or body mass index (BMI), is lacking to identify this group quickly. We compared the sensitivities (SNs), specificities (SPs), and receiving operator curves (ROCs) of the neck circumference/height ratio (NHR) and waist circumference/height ratio (WHR) in predicting moderate and severe OSA (apnea-hypopnea index [AHI] ≥15/hr) with the SN, SP, and ROC of the derived Stop-Bang Questionnaire (dSBQ), which was created from proxy variables from the Sleep Heart Health Study (SHHS). Methods Data from the SHHS baseline evaluation were used and included participants (N=5431) who completed polysomnograms and had neck and waist circumferences, height measurements, and the SHHS proxy variables. This data then was divided randomly into 1/3 for derivation and 2/3 for validation analyses. Results No statistical differences were seen for gender, age, or ethnicity between the derivation and validation samples. In the validation sample (n=3621), the NHR cut-point of 0.21 resulted in a SN of 91% and a SP of 26% for AHI ≥15/hr. The WHR cut-point of 0.51 resulted in a SN of 91% and a SP of 21% for AHI ≥15/hr. Comparing the validation NHR and the dSBQ ROC curves showed no significant difference (AUCs=0.69 and 0.70, respectively; p=0.22). However, the ROC curve for WHR was significantly lower than for the dSBQ (AUCs=0.63 and 0.70, respectively; p<0.0001). Comparing the derivation and validation ROCs showed no significant differences between NHR ROCs, p=0.81, or between WHR ROCs, p=0.67. Conclusion The NHR is a viable screening tool, independent of witnessed apneas and BMI, that can be used for different body types and is statistically comparable to the dSBQ. Support This work was supported by U01HL53938 and U01HL53938-07S (University of Arizona).

APOE  4 is associated with obstructive sleep apnea/hypopnea: The Sleep Heart Health Study

Neurology ◽  
2004 ◽  
Vol 63 (4) ◽  
pp. 664-668 ◽  
Author(s):  
D. J. Gottlieb ◽  
A. L. DeStefano ◽  
D. J. Foley ◽  
E. Mignot ◽  
S. Redline ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Health Study ◽  
Heart Health ◽  
Obstructive Sleep

Abstract P186: Obstructive Sleep Apnea and Risk of Chronic Kidney Disease in the ARIC Sleep Heart Health Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Kelsie M Full ◽  
Chandra Jackson ◽  
Casey M Rebholz ◽  
Kunihiro Matsushita ◽  
Pamela L Lutsey
Keyword(s):  
Chronic Kidney Disease ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Kidney Disease ◽  
Health Behaviors ◽  
Health Study ◽  
Apnea Hypopnea Index ◽  
Heart Health ◽  
Obstructive Sleep ◽  
Increased Risk

Background: Obstructive sleep apnea (OSA) is a prevalent sleep disorder and may be associated with the development of chronic kidney disease (CKD) through hypoxia, inflammation, and oxidative stress. However, the prospective relationship between OSA and incident CKD remains unknown. In this study, we leveraged in-home polysomnography (PSG) data from a large community-based cohort of adults to examine the association between OSA and risk of incident CKD in late-midlife. Methods: Participants in the Atherosclerosis Risk in Communities (ARIC) study (N=1,525; mean age=62.5 ± 5.4 years, 52.4% female) completed in-home PSG assessments as part of the Sleep Heart Health Study. OSA severity was defined according to apnea-hypopnea index (AHI) (events/hour): normal <5.0, mild 5.0-14.9, moderate 15.0-29.9, and severe ≥30.0. Incident CKD was defined according to estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m 2 and at least 25% decline in eGFR from baseline, CKD-related hospitalization or death, or end-stage renal disease. Cox proportional hazards regression was used to estimate OSA severity with risk of incident CKD. Models were adjusted for demographics, health behaviors, BMI, and other markers of cardiometabolic conditions. Results: Among 1,525 participants, a total of 461 CKD events occurred over an average of 19 years of follow-up. After adjustment for demographics and health behaviors, severe OSA (AHI ≥30.0) was associated with increased risk of CKD (Hazard Ratio (HR): 1.51; 95% Confidence Interval (CI): 1.08, 2.10). This association was attenuated after additional adjustment for BMI (HR; 1.07, CI: 0.75, 1.52). Conclusions: Overall, OSA was linked to greater CKD risk. The association was attenuated after adjusting for obesity, a risk factor for both conditions. Due the high prevalence of OSA and CKD in the US adult population, more investigation is needed. Figure 1. Estimated probability of years free of Chronic Kidney Disease (CKD) by obstructive sleep apnea (OSA) severity in the ARIC Sleep Heart Health Study:

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