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Susan Redline

Researcher at Brigham and Women's Hospital

Publications -  1071
Citations -  97728

Susan Redline is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Polysomnography & Obstructive sleep apnea. The author has an hindex of 138, co-authored 899 publications receiving 80945 citations. Previous affiliations of Susan Redline include Brown University & University of California, Davis.

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Differences in polysomnography predictors for hypertension and impaired glucose tolerance. Commentary

TL;DR: These data are consistent with disparate pathways mediating hypertension and impaired glucose tolerance, and suggest that vascular responses may be more directly related to sympathetic surges and arousals, whereas metabolic sequelae may be mediated more by hypoxic stress.
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More Than the Sum of the Respiratory Events: Personalized Medicine Approaches for Obstructive Sleep Apnea

TL;DR: Treatments could be individualized based on the underlying cause of OSA; patients could better understand which symptoms and outcomes will respond to OSA treatment, and by how much; and researchers could select populations most likely to benefit from specific treatment approaches for OSA.
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Chronotype, Social Jet Lag, and Cardiometabolic Risk Factors in Early Adolescence

TL;DR: In this article, the authors investigated associations of chronotype and social jet lag with adiposity and cardiometabolic risk in young adolescents, finding that greater evening preference was associated with a higher waist circumference and higher fat mass index.
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Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

Heming Wang, +64 more
TL;DR: 42 genome-wide significant loci for self-reported daytime sleepiness in GWAS of 452,071 individuals from the UK Biobank that cluster into two biological subtypes of either sleep propensity or sleep fragmentation.
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Factors that may influence the classification of sleep-wake by wrist actigraphy: the MrOS Sleep Study.

TL;DR: Sleep parameters from the PIM and TAT modes of actigraphy corresponded reasonably well to polysomnography (PSG) in this population, with the Pim mode correlating highest.