Bio

Bio


Tenacious sleep nerd with over 20 years of research and data analysis experience.

Scientist known for successfully planning and executing multifaceted clinical research projects. A high level thinker with exceptional strategic skills and the rare ability to effectively improve collaborations between diverse stakeholders. Extensive experience in analyzing data, publishing manuscripts, and statistical programming.

Currently a PhD student in the Epidemiology & Clinical Research program at the department of Health Research and Policy at Stanford. Working to improve our understanding of the genetic basis of sleep and sleep disorders by creating a large cohort and making the data freely available to the scientific community.

Current Role at Stanford


Senior Manager of Clinical Research
Responsibilities included leading technical initiatives, writing grants/proposals, performing statistical analysis and power calculations for grant applications/publications, designing research studies/clinical trials, developing budgets, negotiating contracts, and actively building successful collaborations with internal and third party organizations.

•Project Director for the Stanford Technology Analytics and Genomics in Sleep (STAGES) study: a prospective study that will sleep related data on 30,000 sleep clinic patients (age 13 and up) including genetic and phenotypic data. Managed the study at the strategic level to ensure that the project progresses on time and on budget. Chair the Operations Committee, coordinated the development of the data management portal, provided high-level oversight for data collection, and managed the databases and servers for and secure storage and sharing.

• Helped department secure >40 million dollars in funding by directing the submission of 15 grant applications. Grants included an 18 million dollar family foundation grant to build a prospective cohort of 30k sleep clinic patients and a 7.85 million dollar NIH P01 grant to research the genetic, neurobiological, and immunological basis of type 1 narcolepsy.

• Project Director for the Alliance Sleep Questionnaire (ASQ): an online questionnaire that uses complex, branching logic to identify potential sleep disorders. Partnered with stakeholders from 5 sites to develop the ASQ’s content, conducted the pilot study, managed deployment, and integrated the new tool into the core workflow at Stanford’s Sleep Clinic. Responsible for the ongoing management of the ASQ (monitoring data acquisition and integrity, assessing data quality, developing scoring algorithms, and performing data analysis). To date, the ASQ has been completed by over 10,000 people, is critical for >10 research studies (including STAGES, Google baseline pilot), and has become standard of care at the Stanford Sleep Medicine Center.

• Database Architect/Administrator for the Stanford Sleep Cohort and Narcolepsy Cohort. Created system to link clinical, research, and sleep study data on >40,000 individuals including biological data on >5,000 narcolepsy cases and >15,000 controls. Optimized data security and operational effectiveness by providing technical expertise and developing both the schema and data dictionaries.

• Implemented and managed Stanford’s Multi-site PSG Triple Re-Score Project. Authored manual of operations for the Stanford Site, developed a partnership with Philips Respironics to streamline data-export of >500 studies, hired/managed scoring techs, produced final dataset, and provided regular updates to the project’s steering committee.

• Program and Technical Director of Stanford’s Accredited Sleep Technologist Education Program. Developed A-STEP’s course curriculum (including speakers and materials), managed all administrative requirements (enrollment and record keeping), and presented lectures on various topics ranging from sleep scoring to patient hook ups.

• Provided operational oversight for 8 clinical studies with sample sizes ranging from 40 to over 8,000.

• Authored/co-authored 30 manuscripts and abstracts published in scientific journals.

• Composed/managed >40 department active IRB protocols (involved updates/renewals, adherence to regulations, and coordination of inter institutional agreements with >25 collaborators).

Professional Affiliations and Activities


  • Member, Sleep Research Society (2010 - Present)
  • Member, California Sleep Society (2007 - Present)
  • Member, American Association of Sleep Technologists (1997 - Present)

Education & Certifications


  • Master of Science, Stanford University, EPIDM-MS (2013)
  • Bachelor of Arts, University of California San Diego, Psychology (1995)
  • RST, American Board of Sleep Medicine, Registered Sleep Technologist #2791 (2012)
  • RPSGT, Board of Registered Polysomnographic Technologists, Sleep Technologist #2157 (1998)
  • BA, University of California, San Diego, Psychology (1995)

Publications

All Publications


  • Diagnostic value of sleep stage dissociation as visualized on a 2-Dimensional sleep state space in human narcolepsy. Journal of neuroscience methods Olsen, A. V., Stephansen, J., Leary, E., Peppard, P. E., Sheungshul, H., Jenum, P., Sorensen, H., Mignot, E. 2017

    Abstract

    Type 1 narcolepsy (NT1) is characterized by symptoms believed to represent Rapid Eye Movement (REM) sleep stage dissociations, occurrences where features of wake and REM sleep are intermingled, resulting in a mixed state. We hypothesized that sleep stage dissociations can be objectively detected through the analysis of nocturnal Polysomnography (PSG) data, and that those affecting REM sleep can be used as a diagnostic feature for narcolepsy.A Linear Discriminant Analysis (LDA) model using 38 features extracted from EOG, EMG and EEG was used in control subjects to select features differentiating wake, stage N1, N2, N3 and REM sleep. Sleep stage differentiation was next represented in a 2D projection. Features characteristic of sleep stage differences were estimated from the residual sleep stage probability in the 2D space. Using this model we evaluated PSG data from NT1 and non-narcoleptic subjects. An LDA classifier was used to determine the best separation plane.This method replicates the specificity/sensitivity from the training set to the validation set better than many other methods.Eight prominent features could differentiate narcolepsy and controls in the validation dataset. Using a composite measure and a specificity cut off 95% in the training dataset, sensitivity was 43%. Specificity/sensitivity was 94%/38% in the validation set. Using hypersomnia subjects, specificity/sensitivity was 84%/15%. Analyzing treated narcoleptics the specificity/sensitivity was 94%/10%.Sleep stage dissociation can be used for the diagnosis of narcolepsy. However the use of some medications and presence of undiagnosed hypersomnolence patients impacts the result.

    View details for DOI 10.1016/j.jneumeth.2017.02.004

    View details for PubMedID 28219726

  • Breathing Disturbances Without Hypoxia Are Associated With Objective Sleepiness in Sleep Apnea. Sleep Koch, H., Schneider, L. D., Finn, L. A., Leary, E. B., Peppard, P. E., Hagen, E., Sorensen, H. B., Jennum, P., Mignot, E. 2017; 40 (11)

    Abstract

    To determine whether defining two subtypes of sleep-disordered breathing (SDB) events-with or without hypoxia-results in measures that are more strongly associated with hypertension and sleepiness.A total of 1022 participants with 2112 nocturnal polysomnograms from the Wisconsin Sleep Cohort were analyzed with our automated algorithm, developed to detect breathing disturbances and desaturations. Breathing events were time-locked to desaturations, resulting in two indices-desaturating (hypoxia-breathing disturbance index [H-BDI]) and nondesaturating (nonhypoxia-breathing disturbance index [NH-BDI]) events-regardless of arousals. Measures of subjective (Epworth Sleepiness Scale) and objective (2981 multiple sleep latency tests from a subset of 865 participants) sleepiness were analyzed, in addition to clinically relevant clinicodemographic variables. Hypertension was defined as BP ≥ 140/90 or antihypertensive use.H-BDI, but not NH-BDI, correlated strongly with SDB severity indices that included hypoxia (r ≥ 0.89, p ≤ .001 with 3% oxygen-desaturation index [ODI] and apnea hypopnea index with 4% desaturations). A doubling of desaturation-associated events was associated with hypertension prevalence, which was significant for ODI but not H-BDI (3% ODI OR = 1.06, 95% CI = 1.00-1.12, p < .05; H-BDI OR 1.04, 95% CI = 0.98-1.10) and daytime sleepiness (β = 0.20 Epworth Sleepiness Scale [ESS] score, p < .0001; β = -0.20 minutes in MSL on multiple sleep latency test [MSLT], p < .01). Independently, nondesaturating event doubling was associated with more objective sleepiness (β = -0.52 minutes in MSL on MSLT, p < .001), but had less association with subjective sleepiness (β = 0.12 ESS score, p = .10). In longitudinal analyses, baseline nondesaturating events were associated with worsening of H-BDI over a 4-year follow-up, suggesting evolution in severity.In SDB, nondesaturating events are independently associated with objective daytime sleepiness, beyond the effect of desaturating events.

    View details for DOI 10.1093/sleep/zsx152

    View details for PubMedID 29029253

  • Validation of the Alliance Sleep Questionnaire (ASQ) Obstructive Sleep Apnea (OSA) Module in Sleep Disordered Patients Sleep (Abstract suppl.) Leary, E. B., Malunjkar, S., Ruoff, C., Walsh, J. K., Mignot, E. . 2016; 39: A124
  • T Cell Receptor Sequencing in Narcolepsy Sleep (Abstract suppl.) Jolanki , O., Moore IV, H., Lin, L., Hillary, R., Einen, M., Leary, E., Ollila, H., Mignot, E. 2016; 39
  • Characterization of the Stanford Narcolepsy Database Sleep (Abstract suppl.) Cheung, J., Schneider, L. D., Chau, A., Einen, M., Leary, E. B., Lin, L., Ruoff, C. M., Mignot, E. 2016; 39: A246
  • Prescription and Non-Prescription Medications for Sleep-Related Clinical Trials Sleep (Abstract suppl.) Nichols, D. A., Ho, V., Griffin, K. S., Leary, E. B., Walsh, J. K., Gottlieb, D. J., Kushida, C. A. 2016; 39: A375
  • Sleep-stage transitions during polysomnographic recordings as diagnostic features of type 1 narcolepsy. Sleep medicine Christensen, J. A., Carrillo, O., Leary, E. B., Peppard, P. E., Young, T., Sorensen, H. B., Jennum, P., Mignot, E. 2015; 16 (12): 1558-1566

    View details for DOI 10.1016/j.sleep.2015.06.007

    View details for PubMedID 26299470

  • Design and validation of a periodic leg movement detector. PloS one Moore, H., Leary, E., Lee, S., Carrillo, O., Stubbs, R., Peppard, P., Young, T., Widrow, B., Mignot, E. 2014; 9 (12)

    Abstract

    Periodic Limb Movements (PLMs) are episodic, involuntary movements caused by fairly specific muscle contractions that occur during sleep and can be scored during nocturnal polysomnography (NPSG). Because leg movements (LM) may be accompanied by an arousal or sleep fragmentation, a high PLM index (i.e. average number of PLMs per hour) may have an effect on an individual's overall health and wellbeing. This study presents the design and validation of the Stanford PLM automatic detector (S-PLMAD), a robust, automated leg movement detector to score PLM. NPSG studies from adult participants of the Wisconsin Sleep Cohort (WSC, n = 1,073, 2000-2004) and successive Stanford Sleep Cohort (SSC) patients (n = 760, 1999-2007) undergoing baseline NPSG were used in the design and validation of this study. The scoring algorithm of the S-PLMAD was initially based on the 2007 American Association of Sleep Medicine clinical scoring rules. It was first tested against other published algorithms using manually scored LM in the WSC. Rules were then modified to accommodate baseline noise and electrocardiography interference and to better exclude LM adjacent to respiratory events. The S-PLMAD incorporates adaptive noise cancelling of cardiac interference and noise-floor adjustable detection thresholds, removes LM secondary to sleep disordered breathing within 5 sec of respiratory events, and is robust to transient artifacts. Furthermore, it provides PLM indices for sleep (PLMS) and wake plus periodicity index and other metrics. To validate the final S-PLMAD, experts visually scored 78 studies in normal sleepers and patients with restless legs syndrome, sleep disordered breathing, rapid eye movement sleep behavior disorder, narcolepsy-cataplexy, insomnia, and delayed sleep phase syndrome. PLM indices were highly correlated between expert, visually scored PLMS and automatic scorings (r2 = 0.94 in WSC and r2 = 0.94 in SSC). In conclusion, The S-PLMAD is a robust and high throughput PLM detector that functions well in controls and sleep disorder patients.

    View details for DOI 10.1371/journal.pone.0114565

    View details for PubMedID 25489744

    View details for PubMedCentralID PMC4260847

  • Effects of Continuous Positive Airway Pressure on Neurocognitive Function in Obstructive Sleep Apnea Patients: The Apnea Positive Pressure Long-term Efficacy Study (APPLES) SLEEP Kushida, C. A., Nichols, D. A., Holmes, T. H., Quan, S. F., Walsh, J. K., Gottlieb, D. J., Simon, R. D., Guilleminault, C., White, D. P., Goodwin, J. L., Schweitzer, P. K., Leary, E. B., Hyde, P. R., Hirshkowitz, M., Green, S., McEvoy, L. K., Chan, C., Gevins, A., Kay, G. G., Bloch, D. A., Crabtree, T., Dement, W. C. 2012; 35 (12): 1593-U40

    Abstract

    To determine the neurocognitive effects of continuous positive airway pressure (CPAP) therapy on patients with obstructive sleep apnea (OSA).The Apnea Positive Pressure Long-term Efficacy Study (APPLES) was a 6-month, randomized, double-blind, 2-arm, sham-controlled, multicenter trial conducted at 5 U.S. university, hospital, or private practices. Of 1,516 participants enrolled, 1,105 were randomized, and 1,098 participants diagnosed with OSA contributed to the analysis of the primary outcome measures.Active or sham CPAP MEASUREMENTS: THREE NEUROCOGNITIVE VARIABLES, EACH REPRESENTING A NEUROCOGNITIVE DOMAIN: Pathfinder Number Test-Total Time (attention and psychomotor function [A/P]), Buschke Selective Reminding Test-Sum Recall (learning and memory [L/M]), and Sustained Working Memory Test-Overall Mid-Day Score (executive and frontal-lobe function [E/F])The primary neurocognitive analyses showed a difference between groups for only the E/F variable at the 2 month CPAP visit, but no difference at the 6 month CPAP visit or for the A/P or L/M variables at either the 2 or 6 month visits. When stratified by measures of OSA severity (AHI or oxygen saturation parameters), the primary E/F variable and one secondary E/F neurocognitive variable revealed transient differences between study arms for those with the most severe OSA. Participants in the active CPAP group had a significantly greater ability to remain awake whether measured subjectively by the Epworth Sleepiness Scale or objectively by the maintenance of wakefulness test.CPAP treatment improved both subjectively and objectively measured sleepiness, especially in individuals with severe OSA (AHI > 30). CPAP use resulted in mild, transient improvement in the most sensitive measures of executive and frontal-lobe function for those with severe disease, which suggests the existence of a complex OSA-neurocognitive relationship.Registered at clinicaltrials.gov. Identifier: NCT00051363.Kushida CA; Nichols DA; Holmes TH; Quan SF; Walsh JK; Gottlieb DJ; Simon RD; Guilleminault C; White DP; Goodwin JL; Schweitzer PK; Leary EB; Hyde PR; Hirshkowitz M; Green S; McEvoy LK; Chan C; Gevins A; Kay GG; Bloch DA; Crabtree T; Demen WC. Effects of continuous positive airway pressure on neurocognitive function in obstructive sleep apnea patients: the Apnea Positive Pressure Long-term Efficacy Study (APPLES). SLEEP 2012;35(12):1593-1602.

    View details for DOI 10.5665/sleep.2226

    View details for Web of Science ID 000313000600005

    View details for PubMedID 23204602

    View details for PubMedCentralID PMC3490352

  • Patient Preparation Fundamentals of Sleep Technology Leary, E. B. Lippincott Williams & Wilkins. 2012; 2nd: 311–324
  • Polysomnographic Recording Procedures Fundamentals of Sleep Technology Leary, E. B. Lippincott Williams & Wilkins. 2012; 2nd: 325–339
  • The Association between Obstructive Sleep Apnea and Neurocognitive Performance-The Apnea Positive Pressure Long-term Efficacy Study (APPLES) SLEEP Quan, S. F., Chan, C. S., Dement, W. C., Gevins, A., Goodwin, J. L., Gottlieb, D. J., Green, S., Guilleminault, C., Hirshkowitz, M., Hyde, P. R., Kay, G. G., Leary, E. B., Nichols, D. A., Schweitzer, P. K., Simon, R. D., Walsh, J. K., Kushida, C. A. 2011; 34 (3): 303-U207

    Abstract

    To determine associations between obstructive sleep apnea (OSA) and neurocognitive performance in a large cohort of adults.Cross-sectional analyses of polysomnographic and neurocognitive data from 1204 adult participants with a clinical diagnosis of obstructive sleep apnea (OSA) in the Apnea Positive Pressure Long-term Efficacy Study (APPLES), assessed at baseline before randomization to either continuous positive airway pressure (CPAP) or sham CPAP.Sleep and respiratory indices obtained by laboratory polysomnography and several measures of neurocognitive performance.Weak correlations were found for both the apnea hypopnea index (AHI) and several indices of oxygen desaturation and neurocognitive performance in unadjusted analyses. After adjustment for level of education, ethnicity, and gender, there was no association between the AHI and neurocognitive performance. However, severity of oxygen desaturation was weakly associated with worse neurocognitive performance on some measures of intelligence, attention, and processing speed.The impact of OSA on neurocognitive performance is small for many individuals with this condition and is most related to the severity of hypoxemia.

    View details for Web of Science ID 000287917600010

    View details for PubMedID 21358847

    View details for PubMedCentralID PMC3041706

  • Sleep disorders: a widely ignored pandemic. FOCUS: Journal for Respiratory Care & Sleep Medicine Dement, W. C., Leary, E. B. 2009; Jan/Feb (28)
  • Patient Preparation Fundamentals of Sleep Technology Leary, E. B. Lippincott Williams & Wilkins. 2007; 1: 241–252
  • The Apnea Positive Pressure Long-term Efficacy Study (APPLES): Rationale, Design, Methods, and Procedures JOURNAL OF CLINICAL SLEEP MEDICINE Kushida, C. A., Nichols, D. A., Quan, S. F., Goodwin, J. L., White, D. P., Gottlieb, D. J., Walsh, J. K., Schweitzer, P. K., Guilleminault, C., Simon, R. D., Leary, E. B., Hyde, P. R., Holmes, T. H., Bloch, D. A., Green, S., McEvoy, L. K., Gevins, A., Dement, W. C. 2006; 2 (3): 288-300