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Petrov, Megan E. Ruiter

0000-0001-5443-7548

Mayo Clinic

Arizona State University

Citations 3

SleepWell24, a Smartphone Application to Promote Adherence to Positive Airway Pressure Therapy: Feasibility and Acceptability in a Randomized Controlled Trial
Epstein, Dana R. , Krahn, Lois E., Todd, Michael , Park, John G. , Hoffmann, Coles M., Hasanaj, Kristina , Hollingshead, Kevin , Yu, Tsung-Yen, Krahn, Lois, St Louis, Erik K, Morgenthaler, Timothy I. , Petrov, Megan E. Ruiter , Louis, Erik K. St. , Buman, Matthew P.

Behavioral Sleep Medicine | November 30, 2023 | Volume: 22 | Issue: 4 | Pages: 420-432

10.1080/15402002.2023.2289442 Get It

0550 Insomnia is Associated with Greater Arterial Stiffness and Cardiac Dysfunction
Youngstedt, Shawn D., Mookadam, Farouk , Jiao, Nana , Lim, Lance, Petrov, Megan E. Ruiter , Mookadam, Farouk , Wong, B, Angadi, Siddhartha S.

Sleep | May 27, 2020 | Volume: 43 | Issue: Supplement_1 | Pages: A210-A211

10.1093/sleep/zsaa056.547 Get It

Abstract Introduction Insomnia is a novel and modifiable risk factor for incident cardiovascular disease (CVD). However, identification of early markers of subclinical CVD in diagnosed insomnia is understudied. Our aim for this ongoing study is to contrast markers of cardiovascular structure and function between people with insomnia and good-sleeping controls. Methods Persons with insomnia (met ICSD-III criteria) and good sleeping controls (<8 Insomnia Severity Index, mean 8-night SOL and WASO<31min) were recruited from the community. Twenty-two adults (21-39y; 55% women) with no history of CVD, diabetes, inflammatory conditions, significant hypertension, or current sleep-disordered breathing (WatchPat200, Itamar Medical) were enrolled and underwent fasting cardiovascular testing. Testing included: Central augmented aortic pressure (AP) and carotid-femoral pulse wave velocity (cfPWV) for vascular stiffness; brachial artery flow mediated dilation (FMD) to assess endothelial function; and 2D echocardiography to assess ejection fraction (EF%), left ventricular global longitudinal strain (LVGLS), left atrial volume index (LAVI), mitral valve E/e’ ratio (E/e’), and lateral e’. ANCOVA models, adjusting for age, comparing persons with insomnia (n=6) to good sleeping controls (n=16) on each cardiovascular measure were conducted. Results AP (range:-5,10mmHg), cfPWV (range: 4.8-7.6m/s), EF% (range:55.0-72.0%), LVGLS (range:-26,-19%) LAVI (range:14.1-26.7mL/m2), E/e’ (range:3.2-7.8), and lateral e’ (range:0.09-0.22cm/sec) were all within normal ranges according to age and sex normative standards. Mean FMD was 8.8% (SD=4.3, range:4.3-19.8%). Age adjusted ANCOVA models indicated that the insomnia group had significantly worse cardiovascular function than good sleeping controls on cfPWV (M=6.8±0.3 vs. M=5.7±0.2; p=0.004), EF% (M=60.0±1.7 vs. M=65.2±1.0; p=0.017), LVGLS (M=-21.6±0.6 vs. M=-24.3±0.4; p=0.001), and lateral e’ (M=0.12±0.01 vs. M=0.18±0.01; p=0.003). No group differences were found for AP, FMD, LAVI, and E/e’. Conclusion Among relatively healthy young adults, people with insomnia had greater arterial stiffness and worse left ventricular systolic and diastolic functioning. Support American Academy of Sleep Medicine Foundation Focused Projects Award for Junior Investigators 179-FP-18
0695 Sleepwell24, A Smartphone Application To Promote PAP Therapy Adherence: Feasibility And Acceptability
Hasanaj, Kristina , Hoffmann, Coles M., Epstein, Dana R. , Krahn, L, Park, J G, Hollingshead, Kevin , Yu, Tsung-Yen, Louis, Ermaze, Buman, M. P. , Petrov, Megan E. Ruiter , Louis, E K St., Morgenthaler, Timothy I.

Sleep | May 27, 2020 | Volume: 43 | Issue: Supplement_1 | Pages: A265-A265

10.1093/sleep/zsaa056.691 Get It

Abstract Introduction We aimed to test the feasibility and acceptability of SleepWell24, a multicomponent, smartphone-delivered intervention to increase positive airway pressure (PAP) adherence among newly diagnosed OSA patients. Methods SleepWell24 targets PAP adherence along with other health behaviors through education, trouble-shooting, goal-setting, and near real-time biofeedback of PAP machine use, and sleep and physical activity levels (via Fitbit integration), and other chronic disease self-management components. Patients with a first-time diagnosis of OSA (AHI≥5) and prescribed PAP therapy were enrolled from the Centers for Sleep Medicine at Mayo Clinic in Rochester, MN and Phoenix, AZ. Patients were randomized to SleepWell24 or usual care (UC) and assessed for PAP use over 60 consecutive nights. UC patients received a Fitbit monitor to control for non-specific intervention effects related to the introduction of a new personal technology. Feasibility was assessed with recruitment and retention rates and acceptability was assessed post-intervention with the validated, 8-item Treatment Evaluation Questionnaire (TEQ; range:0-4). ANCOVA models, adjusting for age, sex, and AHI severity, compared intervention arms on acceptability ratings. Results OSA patients were consented and randomized (N=111). Before the intervention began 4 participants withdrew, 12 were lost to follow-up, and 5 could not start the trial due to durable medical equipment (DME) vendor barriers. Ninety OSA patients (n=41 SleepWell24, n=49 UC; age M±SD=57.2±12.2; 44.4% female, 61.1% AHI≥15) started the intervention, with 2 participants withdrawing, 1 becoming deceased (unrelated to treatment) and 7 with missing PAP data due to DME vendor barriers. There was no significant between-groups differences on post-treatment acceptability (SleepWell24 M±SD=2.7±1.1 vs. UC M±SD=3.1±0.9, F[1,73]=2.3, p=0.11), and 77% of SleepWell24 participants found the app to be moderately to totally acceptable. Conclusion Overall, SleepWell24 was found to be feasible for delivery in two large clinical sleep medicine centers, and patients found the app to be acceptable. A number of challenges in trial delivery were encountered that have implications for scaled-up efficacy testing: (a) partnerships with DME vendors for near real-time PAP data integration; (b) alignment with clinical practice (i.e., referral, medical record integration); and (c) patient engagement. Support National Institute of Nursing Research / National Institutes of Health: R21NR016046