Banks, Siobhan; Van Dongen, Hans P. A.; Maislin, Greg; Dinges, David F.
doi: 10.1093/sleep/33.8.1013pmid: 20815182
AbstractObjective:Establish the dose-response relationship between increasing sleep durations in a single night and recovery of neurobehavioral functions following chronic sleep restriction.Design:Intent-to-treat design in which subjects were randomized to 1 of 6 recovery sleep doses (0, 2, 4, 6, 8, or 10 h TIB) for 1 night following 5 nights of sleep restriction to 4 h TIB.Setting:Twelve consecutive days in a controlled laboratory environment.Participants:N = 159 healthy adults (aged 22–45 y), median = 29 y).Interventions:Following a week of home monitoring with actigraphy and 2 baseline nights of 10 h TIB, subjects were randomized to either sleep restriction to 4 h TIB per night for 5 nights followed by randomization to 1 of 6 nocturnal acute recovery sleep conditions (N = 142), or to a control condition involving 10 h TIB on all nights (N = 17).Measurements and Results:Primary neurobehavioral outcomes included lapses on the Psychomotor Vigilance Test (PVT), subjective sleepiness from the Karolinska Sleepiness Scale (KSS), and physiological sleepiness from a modified Maintenance of Wakefulness Test (MWT). Secondary outcomes included psychomotor and cognitive speed as measured by PVT fastest RTs and number correct on the Digit Symbol Substitution Task (DSST), respectively, and subjective fatigue from the Profile of Mood States (POMS). The dynamics of neurobehavioral outcomes following acute recovery sleep were statistically modeled across the 0 h–10 h recovery sleep doses. While TST, stage 2, REM sleep and NREM slow wave energy (SWE) increased linearly across recovery sleep doses, best-fitting neurobehavioral recovery functions were exponential across recovery sleep doses for PVT and KSS outcomes, and linear for the MWT. Analyses based on return to baseline and on estimated intersection with control condition means revealed recovery was incomplete at the 10 h TIB (8.96 h TST) for PVT performance, KSS sleepiness, and POMS fatigue. Both TST and SWE were elevated above baseline at the maximum recovery dose of 10 h TIB.Conclusions:Neurobehavioral deficits induced by 5 nights of sleep restricted to 4 h improved monotonically as acute recovery sleep dose increased, but some deficits remained after 10 h TIB for recovery. Complete recovery from such sleep restriction may require a longer sleep period during 1 night, and/or multiple nights of recovery sleep. It appears that acute recovery from chronic sleep restriction occurs as a result of elevated sleep pressure evident in both increased SWE and TST.
Bodenmann, Sereina; Landolt, Hans-Peter
doi: 10.1093/sleep/33.8.1027pmid: 20815183
Abstract Study Objectives: Modafinil may promote wakefulness by increasing cerebral dopaminergic neurotransmission, which importantly depends on activity of catechol-O-methyltransferase (COMT) in prefrontal cortex. The effects of modafinil on sleep homeostasis in humans are unknown. Employing a novel sleep-pharmacogenetic approach, we investigated the interaction of modafinil with sleep deprivation to study dopaminergic mechanisms of sleep homeostasis. Design: Placebo-controlled, double-blind, randomized crossover study. Setting: Sleep laboratory in temporal isolation unit. Participants: 22 healthy young men (23.4 ± 0.5 years) prospectively enrolled based on genotype of the functional Val158Met polymorphism of COMT (10 Val/Val and 12 Met/Met homozygotes). Interventions: 2 × 100 mg modafinil and placebo administered at 11 and 23 hours during 40 hours prolonged wakefulness. Measurements and Results: Subjective sleepiness and EEG markers of sleep homeostasis in wakefulness and sleep were equally affected by sleep deprivation in Val/Val and Met/Met allele carriers (placebo condition). Modafinil attenuated the evolution of sleepiness and EEG 5-8 Hz activity during sleep deprivation in both genotypes. In contrast to caffeine, modafinil did not reduce EEG slow wave activity (0.75–4.5 Hz) in recovery sleep, yet specifically increased 3.0–6.75 Hz and > 16.75 Hz activity in NREM sleep in the Val/Val genotype of COMT. Conclusions: The Val158Met polymorphism of COMT modulates the effects of modafinil on the NREM sleep EEG in recovery sleep after prolonged wakefulness. The sleep EEG changes induced by modafinil markedly differ from those of caffeine, showing that pharmacological interference with dopaminergic and adenosinergic neurotransmission during sleep deprivation differently affects sleep homeostasis. EEG spectral analysis, sleep deprivation, pharmacogenetics, dopamine, adenosine WAKEFULNESS AND SLEEP ARE REGULATED BY A CIRCADIAN PROCESS THAT SETS THE TIMING OF SLEEP, AND A HOMEOSTATIC PROCESS THAT TRACKS a sleep debt.1 Sleep deprivation provides the most powerful challenge to the mechanisms underlying sleep homeostasis and predictably affects waking performance, subjective state, and electrical brain activity in wakefulness and sleep. Prolonged wakefulness impairs neurobehavioral and cognitive performance, increases subjective and objective measures of sleepiness, and elevates low-frequency electroencephalogram (EEG) activity in wakefulness, NREM sleep, and REM sleep.2–4 High EEG slow wave activity or delta activity (spectral power within ~ 0.5–4.5 Hz) is characteristic of deep NREM sleep and an established marker of sleep homeostasis.4,5 The neurophysiological mechanisms and the relationships among sleep deprivation-induced changes in neurocognitive measures, sleepiness, and brain activity are poorly understood. Recent studies suggest that distinct markers of accumulated sleep debt are closely related.6–9 By contrast, other studies indicate that they represent different entities and underlying mechanisms.10–14 Sleep pharmacogenetics provides a powerful novel approach in humans to identify molecular mechanisms of sleep homeostasis. For example, the competitive adenosine A1 and A2A receptor antagonist, caffeine, improves performance, reduces subjective sleepiness, and attenuates EEG markers of sleep homeostasis after sleep deprivation.15,16 In view of the EEG, the stimulant lowers theta activity (5–8 Hz) in waking and slow wave activity in NREM and REM sleep.7,17–21 Together with enhanced spindle frequency activity (~ 11–15 Hz) and beta oscillations (> 16 Hz) in NREM recovery sleep, these changes indicate that caffeine attenuates the wakinginduced build-up of sleep need. Interestingly, not only the increase in EEG beta activity but also self-rated sensitivity to the sleep-disrupting effects of caffeine depend on the genotype of the 1976T > C single nucleotide polymorphism (SNP; NCBI SNP-ID: rs5751876) of the adenosine A2A receptor gene (ADORA2A).21 The convergent pharmacological and genetic data strongly suggest that the adenosine neuro modulator/ receptor system plays an important role in behavioral, subjective, and electrophysiological effects of sleep loss. This hypothesis is further supported by the finding that a functional 22G > A polymorphism of the gene encoding adenosine de-aminase (Online Mendelian Inheritance in Man database accession number: 608958) modifies the duration and intensity of deep slow wave sleep.22 To examine whether the effects of caffeine are specific or rather reflect nonspecific psychostimulant actions, the changes induced by other stimulants on markers of sleep homeostasis have to be studied. Modafinil promotes wakefulness and improves cognitive performance in healthy volunteers, and has demonstrated efficacy in treating excessive daytime sleepiness in narcolepsy and other diseases presenting with enhanced sleepiness and fatigue.15,23–25 Increasing evidence suggests that interference with dopamine re-uptake and D1/D2 receptors contributes to the stimulant actions of this drug.26–28 Consistent with this notion, we recently demonstrated that the functional Val158Met polymorphism of the gene encoding the monoamine metabolizing enzyme, catechol-O-methyltransferase (COMT), predicts the efficacy of modafinil in alleviating impaired subjective well-being, sustained vigilant attention, and executive functioning in healthy subjects following sleep loss.14 By contrast, neither COMT genotype nor modafinil affected the rebound of slow wave sleep and EEG < 2 Hz activity in recovery sleep.14 To investigate in more detail a role for dopamine in sleep homeostasis in humans, we performed the first quantification of modafinil-induced changes in waking and sleep EEG during and after sleep deprivation in Val/Val and Met/Met allele carriers of the Val158Met polymorphism of COMT. We show that in contrast to caffeine, modafinil does not attenuate slow wave activity in recovery sleep, but increases 3.0–6.75 Hz activity and beta oscillations in COMT genotype-specific manner. Together with our previous publication,14 we conclude that distinct mechanisms underlie sleep loss-induced changes in waking performance, subjective sleepiness, and electrical brain activity in wakefulness and sleep. Moreover, stimulants acting on dopaminergic and adenosinergic neurotransmission interact differently with sleep homeostasis. Materials And Methods Study Participants, Genotyping, and Pre-Experimental Procedures The study protocol and all experimental procedures were reviewed and approved by the local ethics committees for research on human subjects, and carried out in accordance with the Declaration of Helsinki. The study participants are the same as those in 2 previous reports,14,29 in which recruitment, genetic analyses, and all pre-experimental procedures have been described in detail. In summary, 88 respondents to public advertisements were genotyped for the Val158Met SNP of COMT (NCBI SNP-ID: rs4680). Twenty-two men were prospectively selected for participation in this study based on their Val158Met genotype. Ten were homozygous Val/Val allele carriers, and 12 were homozygous Met/Met allele carriers. All were nonsmokers, moderate consumers of alcohol and caffeine, good sleepers with no sleep disorders, free of neurological and psychiatric disorders, and denied taking medications or illicit drugs during ≥ 2 months before the study. The 2 genotypic groups were carefully matched for age, body mass index, trait anxiety, daytime sleepiness, and diurnal preference.14 During 2 weeks prior to the study, each participant wore a wrist activity monitor on the non-dominant arm, kept a sleep-wake diary, and was asked to abstain from all sources of caffeine. Three days before and during the experiment, participants were also requested to abstain from alcohol and to strictly maintain regular 8-h sleep/16-h wake cycles. Sleep and wake times were scheduled at 24:00 and 08:00, respectively. Participants were not allowed to deviate from these times by more than 1 hour. Compliance with these instructions was verified by inspection of rest-activity plots and sleep-wake diaries. Upon arrival in the sleep laboratory, saliva samples for caffeine determination were taken, and breath ethanol concentration was measured. Study Protocol All subjects completed 2 experimental blocks, consisting of 4 nights and 2 days in the sleep laboratory, separated by one week. After 2 consecutive 8-h nocturnal sleep recordings (adaptation and baseline nights, 24:00–08:00), subjects were kept awake for 40 h under constant supervision by members of the research team. Cognitive performance, subjective state, and waking EEG were intermittently recorded in 14 sessions, starting 15 min after lights-on following the baseline nights.14,29 After 11 h (at 19:00) and 23 h (at 07:00) of prolonged waking, 2 doses of 100 mg modafinil or placebo were administered to each subject in randomized, double-blind, crossover fashion. A 10-h recovery night (24:00–10:00) concluded each experimental block. Psychomotor Vigilance Task The psychomotor vigilance task (PVT) is a simple visual reaction time task with no learning curve and virtually independent of aptitude.2 The 10-min PVT used in the present study is described in detail in our previous publication.14 Subjective Sleepiness A German translation of the Stanford Sleepiness Scale30 was administered at 3-h intervals before and after completion of the PVT.14 The 2 values were averaged for analyses. Due to technical problems, the sleepiness scores in the placebo condition at 08:00 and 11:00 on day 2 of prolonged waking are missing in one Met/Met allele carrier. Waking EEG The waking EEG was recorded under standardized conditions and the data were processed as previously described.29 In brief, subjects relaxed comfortably in a chair and placed their chin on an individually adjusted head-rest. Each recording consisted of a 3-min period with eyes closed and a 5-min period with eyes open while fixating a black dot attached to the wall. When signs of drowsiness were detected (e.g., reduced EEG alpha activity or rolling eyes), subjects were alerted by addressing them over the intercom. One hour before each waking EEG, subjects stayed in the laboratory (constant temperature, light intensity < 150 lux), and 15 min before each recording they were by themselves in their bedrooms. The bioelectric signals (including EEG [C3A2 derivation reported here], bipolar electrooculogram [EOG], mental electromyogram [EMG], and electrocardiogram [ECG]) were recorded with the polygraphic amplifer Artisan (Micromed, Mogliano Veneto, Italy) and Rembrandt Datalab (Version 8; Embla Systems, Broomfield, CO, USA). Analog signals were conditioned by a high-pass filter (EEG: −3 dB at 0.15 Hz; EMG: 10 Hz; ECG: 1 Hz) and an anti-aliasing low-pass filter (−3 dB at 67.2 Hz), digitized and transmitted via fiber-optic cables to a computer. Data were sampled with a frequency of 256 Hz. The EEG spectra (Fast Fourier Transform, Hanning window) of artifact-free, 50% overlapping 2-s epochs were computed with MATLAB (The MathWorks Inc, Natick, MA, USA). Mean power spectra of the 5-min periods with eyes open are reported. To quantify the time course of relative EEG activity in the 5–8 Hz band, individual power values were expressed as a percentage of the mean value in the recordings at 11:00, 14:00, and 17:00 of day 1 (i.e., before the first modafinil/placebo administration). To compare the waking EEG in baseline and after sleep deprivation, mean absolute values recorded at 11:00, 14:00, and 17:00 on days 1 and 2, respectively, of prolonged waking were analyzed. The waking EEG data of 1 Val/Val allele carrier recorded in the placebo condition at 05:00 could not be used because of artifacts. Sleep EEG Continuous polysomnography of EEG, EOG, EMG, and ECG was performed during all experimental nights as previously reported.14,29 Standard sleep stage scoring31 of 20-s epochs (C3A2 derivation) was performed with Rembrandt Analysis Manager (Version 8; Embla Systems, Broomfield, CO, USA). Four-s EEG spectra (FFT routine, Hanning window, 0.25-Hz resolution) were calculated with MATLAB (The MathWorks Inc, Natick, MA, USA), averaged over 5 consecutive epochs and matched with the sleep scores. Twenty-s epochs with movement- and arousal-related artifact were visually identified and eliminated. For sleep and sleep EEG analyses, only the first 8 h of the recovery night were considered. To compute all-night power spectra in NREM sleep (stages 2–4) and REM sleep, all artifact-free 20-s values were averaged. In the recovery nights, the evolution of power in specific low-frequency EEG bands (0.75–4.5 Hz and 3.0–6.75 Hz) was calculated across consecutive NREM sleep episodes. Data Analyses and Statistics The effect of sleep deprivation and modafinil on subjective sleepiness, waking EEG, sleep variables, and the EEG in REM sleep and NREM sleep were analyzed in homozygous carriers of Val and Met alleles of the Val158Met polymorphism of COMT. To approximate a normal distribution, absolute power densities were log-transformed before statistical tests. The SAS 9.1 statistical software (SAS Institute, Cary, NC) was used. Three-way mixed-model analyses of variance (ANOVA) with the between-subjects factor “genotype” (Val/Val, Met/Met) and the within-subjects factors “treatment” (placebo, modafinil), “session” (14 time points across prolonged waking), and “condition” (baseline, sleep deprivation) served to estimate the effects of Val158Met genotype, sleep loss and modafinil. The significance level was set at α < 0.05. If not stated otherwise, only significant effects of factors and interactions are reported. Paired and unpaired, 2-tailed t-tests to localize differences within and between subjects were only performed if respective main effects or interactions of the ANOVA were significant. EEG power was computed for consecutive 0.5-Hz (in waking) and 0.25-Hz bins (in sleep) and for specific frequency bands. The frequency bins and bands are indicated by the encompassing frequency ranges (e.g., the 5–8 Hz band denotes 4.75–8.25 Hz in waking, and the 3.0–6.75 Hz band encompasses 2.875–6.875 Hz in sleep). Results Effects of Sleep Deprivation and Modafinil on Vigilant Attention and Subjective Sleepiness The time courses of sustained vigilant attention quantified as median reaction time on the PVT, subjective sleepiness, and EEG theta activity during prolonged wakefulness in placebo and modafinil conditions are illustrated in Figure 1. When receiving placebo, these variables evolved similarly in homozygous Val/Val and Met/Met allele carriers. Figure 1A recapitulates the striking genotype-dependent efficacy of modafinil to improve reduced vigilant attention following sleep deprivation.14 While the stimulant maintained baseline performance on the PVT throughout prolonged wakefulness in Val/Val genotype, the drug was hardly effective in Met/Met allele carriers (genotype × treatment × session: F26,203 = 1.71, P < 0.03). Figure 1 Open in new tabDownload slide In contrast to sustained vigilant attention, modafinil attenuates the evolution of subjective sleepiness and theta activity in the waking EEG (C3A2 derivation, power within 5–8 Hz) during sleep deprivation independently of Val158Met polymorphism of COMT. (A) Median reaction times (RT), expressed as speed (1/RT) on the psychomotor vigilance task (PVT); (B) mean scores on the Stanford Sleepiness Scale (SSS); and (C) EEG theta activity are plotted for consecutive 3-h intervals. EEG power in placebo and modafinil conditions was expressed as a percentage of mean theta activity in the waking EEG recordings at 11:00, 14:00, and 17:00 on day 1 of prolonged wakefulness. Error bars represent SEM. Tick marks on the x-axes are rounded up to the nearest hour. modafinil (100 mg) was administered at 11 and 23 h waking (vertical dashed lines). Black symbols: Val/Val genotype (open circles: placebo; closed circles: modafinil). Gray symbols: Met/Met genotype (open circles: placebo; closed circles: modafinil). Asterisks indicate the time intervals with significant differences between modafinil and placebo (P < 0.05, paired 2-tailed t-tests). In contrast to vigilant attention, the Val158Met polymorphism of COMT did not modulate the effects of modafinil on subjective sleepiness. In both Val/Val and Met/Met genotypes, Stanford sleepiness scores increased during 40 h continuous wakefulness and were modulated by circadian influences (Figure 1B; session: F13,195 = 22.83, P < 0.001). Modafinil counteracted the sleep deprivation-induced changes independently of genotype (treatment: F1,56.3 = 17.92, P < 0.001; genotype × treatment × session: F26,206 = 1.25, P > 0.1). Effects of Sleep Deprivation and Modafinil on the Waking EEG To quantify the effects of sleep loss on the waking EEG, spectral power averaged over 3 test sessions (11:00, 14:00, and 17:00) after sleep deprivation was compared to the corresponding values in baseline. Under placebo, prolonged waking affected the EEG in all bins below 8.0 Hz, as well as in the 10.5 and 12.0–13.5 Hz ranges (condition: F1,60 ≥ 4.86, P ≤ 0.04). Figure 2A illustrates the significant increase in most bins below 7.0 Hz in both Val/Val and Met/Met allele carriers. Except for the 10.5–11.0 Hz range (genotype × condition: F1,60 = 4.22, P < 0.05), the effect of sleep loss on the waking EEG was the same in both genotypes. Figure 2 Open in new tabDownload slide Sleep deprivation affects EEG similarly in Val/Val (n = 10, black lines) and Met/Met (n = 12, gray lines) homozygotes of the Val158Met polymorphism of COMT. EEG power density (C3A2 derivation) in (A) wakefulness, (B) NREM sleep (stages 2–4), and (C) REM sleep in the placebo condition. Absolute power values in each frequency bin after sleep deprivation were expressed as percentage of the corresponding value in baseline (horizontal dashed line at 100%). To quantify the effects on the waking EEG, power values in the recording sessions at 11:00, 14:00, and 17:00 on day 2 of sleep deprivation were expressed as a percentage of the corresponding values of day 1. Means ± SEM are plotted for each 0.5 Hz bin in waking and for each 0.25 Hz bin in NREM and REM sleep. Black and gray triangles denote significant differences from baseline in Val/Val and Met/Met genotypes, respectively (P < 0.05, paired 2-tailed t-tests). Because EEG theta activity in waking has been suggested to provide an objective measure of homeostatic sleep pressure and is attenuated after caffeine intake,6,7,32 the effects of modafinil on the time course of 5-8 Hz activity during prolonged waking were analyzed in Val/Val and Met/Met homozygotes. In both genotypes, theta power increased with increasing duration of wakefulness and also circadian modulation was present (Figure 1C; session: F13,178 = 11.00, P < 0.001). Similar to subjective sleepiness, modafinil reduced the sleep loss-induced increase in theta activity independently of Val158Met genotype (treatment: F1,62.8 = 6.9, P < 0.02; session × treatment × genotype: F26,196 = 0.67, P > 0.8). Effects of Sleep Deprivation and Modafinil on Sleep and the Sleep EEG Visually scored sleep variables Sleep architecture in baseline was very similar in homozygous carriers of Val and Met alleles of COMT (Table 1). Compared to baseline, sleep episode duration, total sleep time, sleep efficiency, and stage 4 sleep increased in the recovery night after prolonged wakefulness. By contrast, sleep latency and stage 1 sleep were reduced. These typical sleep deprivation-induced changes in sleep structure were similar in Val/ Val and Met/Met genotypes, and independent of placebo and modafinil intake during prolonged wakefulness (P > 0.1 for genotype and treatment main effects, and all interactions involving genotype). Table 1 Visually scored sleep variables in homozygous Val/Val and Met/Met genotypes of Val158Met polymorphism of COMT . Val/Val genotype . Met/Met genotype . . Placebo condition . Modafinil condition . Placebo condition . Modafinil condition . Variable Baseline Recovery Baseline Recovery Baseline Recovery Baseline Recovery Episode 463.6 ± 3.9 477.7 ± 0.7** 471.0 ± 1.4 476.4 ± 0.7** 465.5 ± 3.7 477.1 ± 0.7** 464.8 ± 4.0 474.9 ± 1.6** TST 445.2 ± 4.2 466.9 ± 2.2** 450.8 ± 3.9 463.4 ± 2.5** 449.4 ± 3.9 465.2 ± 1.5** 450.1 ± 5.3 461.8 ± 2.2** Efficiency 92.8 ± 0.9 97.3 ± 0.5** 93.9 ± 0.8 96.5 ± 0.5** 93.7 ± 0.8 96.9 ± 0.3** 93.8 ± 1.1 96.2 ± 0.5* SL 16.2 ± 4.0 2.3 ± 0.7** 8.8 ± 1.5 3.6 ± 0.7** 14.3 ± 3.7 2.9 ± 0.7** 14.9 ± 4.0 5.1 ± 1.6** RL 65.9 ± 4.8 85.1 ± 15.7 61.2 ± 2.5 100.0 ± 19.8 69.1 ± 5.2 73.2 ± 8.4 68.0 ± 5.7 88.4 ± 11.2 WASO 6.6 ± 3.2 0.8 ± 0.3 8.7 ± 3.4 1.2 ± 0.6 4.9 ± 1.0 1.4 ± 1.1* 4.1 ± 1.5 1.3 ± 0.5 Stage 1 39.5 ± 2.8 22.7 ± 3.4*** 37.1 ± 4.6 24.8 ± 4.3** 37.9 ± 4.5 21.2 ± 5.3*** 37.1 ± 3.9 26.0 ± 3.8*** Stage 2 215.3 ± 13.1 207.8 ± 13.8 224.3 ± 12.3 201.8 ± 13.9** 222.9 ± 7.9 202.3 ± 11.0* 222.4 ± 10.7 214.0 ± 8.6 Stage 3 38.1 ± 4.0 44.1 ± 4.5 38.4 ± 3.9 42.6 ± 4.0 34.7 ± 3.7 37.1 ± 3.5 31.9 ± 3.8 37.4 ± 2.5 Stage 4 49.2 ± 11.5 98.2 ± 14.8*** 47.2 ± 10.2 94.5 ± 15.0*** 54.5 ± 6.0 104.1 ± 7.8*** 56.7 ± 6.5 91.8 ± 7.7*** REM sleep 103.1 ± 6.0 94.3 ± 10.6 103.8 ± 7.6 99.7 ± 8.2 99.5 ± 4.2 100.5 ± 6.7 102.1 ± 6.7 92.6 ± 5.0 MT 11.8 ± 2.0 10.0 ± 1.8 11.5 ± 2.1 11.8 ± 2.1 11.3 ± 1.2 10.4 ± 1.2 10.6 ± 1.9 11.8 ± 1.1 . Val/Val genotype . Met/Met genotype . . Placebo condition . Modafinil condition . Placebo condition . Modafinil condition . Variable Baseline Recovery Baseline Recovery Baseline Recovery Baseline Recovery Episode 463.6 ± 3.9 477.7 ± 0.7** 471.0 ± 1.4 476.4 ± 0.7** 465.5 ± 3.7 477.1 ± 0.7** 464.8 ± 4.0 474.9 ± 1.6** TST 445.2 ± 4.2 466.9 ± 2.2** 450.8 ± 3.9 463.4 ± 2.5** 449.4 ± 3.9 465.2 ± 1.5** 450.1 ± 5.3 461.8 ± 2.2** Efficiency 92.8 ± 0.9 97.3 ± 0.5** 93.9 ± 0.8 96.5 ± 0.5** 93.7 ± 0.8 96.9 ± 0.3** 93.8 ± 1.1 96.2 ± 0.5* SL 16.2 ± 4.0 2.3 ± 0.7** 8.8 ± 1.5 3.6 ± 0.7** 14.3 ± 3.7 2.9 ± 0.7** 14.9 ± 4.0 5.1 ± 1.6** RL 65.9 ± 4.8 85.1 ± 15.7 61.2 ± 2.5 100.0 ± 19.8 69.1 ± 5.2 73.2 ± 8.4 68.0 ± 5.7 88.4 ± 11.2 WASO 6.6 ± 3.2 0.8 ± 0.3 8.7 ± 3.4 1.2 ± 0.6 4.9 ± 1.0 1.4 ± 1.1* 4.1 ± 1.5 1.3 ± 0.5 Stage 1 39.5 ± 2.8 22.7 ± 3.4*** 37.1 ± 4.6 24.8 ± 4.3** 37.9 ± 4.5 21.2 ± 5.3*** 37.1 ± 3.9 26.0 ± 3.8*** Stage 2 215.3 ± 13.1 207.8 ± 13.8 224.3 ± 12.3 201.8 ± 13.9** 222.9 ± 7.9 202.3 ± 11.0* 222.4 ± 10.7 214.0 ± 8.6 Stage 3 38.1 ± 4.0 44.1 ± 4.5 38.4 ± 3.9 42.6 ± 4.0 34.7 ± 3.7 37.1 ± 3.5 31.9 ± 3.8 37.4 ± 2.5 Stage 4 49.2 ± 11.5 98.2 ± 14.8*** 47.2 ± 10.2 94.5 ± 15.0*** 54.5 ± 6.0 104.1 ± 7.8*** 56.7 ± 6.5 91.8 ± 7.7*** REM sleep 103.1 ± 6.0 94.3 ± 10.6 103.8 ± 7.6 99.7 ± 8.2 99.5 ± 4.2 100.5 ± 6.7 102.1 ± 6.7 92.6 ± 5.0 MT 11.8 ± 2.0 10.0 ± 1.8 11.5 ± 2.1 11.8 ± 2.1 11.3 ± 1.2 10.4 ± 1.2 10.6 ± 1.9 11.8 ± 1.1 Mean values ± SEM are in minutes (except sleep efficiency in %) for the first 480 minutes from lights-off. Ten Val/Val and 12 Met/Met allele carriers. Placebo condition, placebo intake during sleep deprivation; modafinil condition, 2 x 100 mg modafinil intake during sleep deprivation; Baseline, baseline night; Recovery, recovery night after 40 hours extended waking; Episode, sleep episode (time after sleep onset until final awakening); TST, total sleep time; Efficiency, sleep efficiency (percentage of TST per 480 min); SL, sleep latency (time from lights-off to first occurrence of stage 2); RL, REM sleep latency (time from sleep onset to first occurrence of REM sleep); WASO, waking after sleep onset; Stages 1–4, NREM sleep stages; MT, movement time. *** P < 0.001; ** P < 0.01 * P < 0.05 compared to baseline (paired, two-tailed t -tests). Open in new tab Table 1 Visually scored sleep variables in homozygous Val/Val and Met/Met genotypes of Val158Met polymorphism of COMT . Val/Val genotype . Met/Met genotype . . Placebo condition . Modafinil condition . Placebo condition . Modafinil condition . Variable Baseline Recovery Baseline Recovery Baseline Recovery Baseline Recovery Episode 463.6 ± 3.9 477.7 ± 0.7** 471.0 ± 1.4 476.4 ± 0.7** 465.5 ± 3.7 477.1 ± 0.7** 464.8 ± 4.0 474.9 ± 1.6** TST 445.2 ± 4.2 466.9 ± 2.2** 450.8 ± 3.9 463.4 ± 2.5** 449.4 ± 3.9 465.2 ± 1.5** 450.1 ± 5.3 461.8 ± 2.2** Efficiency 92.8 ± 0.9 97.3 ± 0.5** 93.9 ± 0.8 96.5 ± 0.5** 93.7 ± 0.8 96.9 ± 0.3** 93.8 ± 1.1 96.2 ± 0.5* SL 16.2 ± 4.0 2.3 ± 0.7** 8.8 ± 1.5 3.6 ± 0.7** 14.3 ± 3.7 2.9 ± 0.7** 14.9 ± 4.0 5.1 ± 1.6** RL 65.9 ± 4.8 85.1 ± 15.7 61.2 ± 2.5 100.0 ± 19.8 69.1 ± 5.2 73.2 ± 8.4 68.0 ± 5.7 88.4 ± 11.2 WASO 6.6 ± 3.2 0.8 ± 0.3 8.7 ± 3.4 1.2 ± 0.6 4.9 ± 1.0 1.4 ± 1.1* 4.1 ± 1.5 1.3 ± 0.5 Stage 1 39.5 ± 2.8 22.7 ± 3.4*** 37.1 ± 4.6 24.8 ± 4.3** 37.9 ± 4.5 21.2 ± 5.3*** 37.1 ± 3.9 26.0 ± 3.8*** Stage 2 215.3 ± 13.1 207.8 ± 13.8 224.3 ± 12.3 201.8 ± 13.9** 222.9 ± 7.9 202.3 ± 11.0* 222.4 ± 10.7 214.0 ± 8.6 Stage 3 38.1 ± 4.0 44.1 ± 4.5 38.4 ± 3.9 42.6 ± 4.0 34.7 ± 3.7 37.1 ± 3.5 31.9 ± 3.8 37.4 ± 2.5 Stage 4 49.2 ± 11.5 98.2 ± 14.8*** 47.2 ± 10.2 94.5 ± 15.0*** 54.5 ± 6.0 104.1 ± 7.8*** 56.7 ± 6.5 91.8 ± 7.7*** REM sleep 103.1 ± 6.0 94.3 ± 10.6 103.8 ± 7.6 99.7 ± 8.2 99.5 ± 4.2 100.5 ± 6.7 102.1 ± 6.7 92.6 ± 5.0 MT 11.8 ± 2.0 10.0 ± 1.8 11.5 ± 2.1 11.8 ± 2.1 11.3 ± 1.2 10.4 ± 1.2 10.6 ± 1.9 11.8 ± 1.1 . Val/Val genotype . Met/Met genotype . . Placebo condition . Modafinil condition . Placebo condition . Modafinil condition . Variable Baseline Recovery Baseline Recovery Baseline Recovery Baseline Recovery Episode 463.6 ± 3.9 477.7 ± 0.7** 471.0 ± 1.4 476.4 ± 0.7** 465.5 ± 3.7 477.1 ± 0.7** 464.8 ± 4.0 474.9 ± 1.6** TST 445.2 ± 4.2 466.9 ± 2.2** 450.8 ± 3.9 463.4 ± 2.5** 449.4 ± 3.9 465.2 ± 1.5** 450.1 ± 5.3 461.8 ± 2.2** Efficiency 92.8 ± 0.9 97.3 ± 0.5** 93.9 ± 0.8 96.5 ± 0.5** 93.7 ± 0.8 96.9 ± 0.3** 93.8 ± 1.1 96.2 ± 0.5* SL 16.2 ± 4.0 2.3 ± 0.7** 8.8 ± 1.5 3.6 ± 0.7** 14.3 ± 3.7 2.9 ± 0.7** 14.9 ± 4.0 5.1 ± 1.6** RL 65.9 ± 4.8 85.1 ± 15.7 61.2 ± 2.5 100.0 ± 19.8 69.1 ± 5.2 73.2 ± 8.4 68.0 ± 5.7 88.4 ± 11.2 WASO 6.6 ± 3.2 0.8 ± 0.3 8.7 ± 3.4 1.2 ± 0.6 4.9 ± 1.0 1.4 ± 1.1* 4.1 ± 1.5 1.3 ± 0.5 Stage 1 39.5 ± 2.8 22.7 ± 3.4*** 37.1 ± 4.6 24.8 ± 4.3** 37.9 ± 4.5 21.2 ± 5.3*** 37.1 ± 3.9 26.0 ± 3.8*** Stage 2 215.3 ± 13.1 207.8 ± 13.8 224.3 ± 12.3 201.8 ± 13.9** 222.9 ± 7.9 202.3 ± 11.0* 222.4 ± 10.7 214.0 ± 8.6 Stage 3 38.1 ± 4.0 44.1 ± 4.5 38.4 ± 3.9 42.6 ± 4.0 34.7 ± 3.7 37.1 ± 3.5 31.9 ± 3.8 37.4 ± 2.5 Stage 4 49.2 ± 11.5 98.2 ± 14.8*** 47.2 ± 10.2 94.5 ± 15.0*** 54.5 ± 6.0 104.1 ± 7.8*** 56.7 ± 6.5 91.8 ± 7.7*** REM sleep 103.1 ± 6.0 94.3 ± 10.6 103.8 ± 7.6 99.7 ± 8.2 99.5 ± 4.2 100.5 ± 6.7 102.1 ± 6.7 92.6 ± 5.0 MT 11.8 ± 2.0 10.0 ± 1.8 11.5 ± 2.1 11.8 ± 2.1 11.3 ± 1.2 10.4 ± 1.2 10.6 ± 1.9 11.8 ± 1.1 Mean values ± SEM are in minutes (except sleep efficiency in %) for the first 480 minutes from lights-off. Ten Val/Val and 12 Met/Met allele carriers. Placebo condition, placebo intake during sleep deprivation; modafinil condition, 2 x 100 mg modafinil intake during sleep deprivation; Baseline, baseline night; Recovery, recovery night after 40 hours extended waking; Episode, sleep episode (time after sleep onset until final awakening); TST, total sleep time; Efficiency, sleep efficiency (percentage of TST per 480 min); SL, sleep latency (time from lights-off to first occurrence of stage 2); RL, REM sleep latency (time from sleep onset to first occurrence of REM sleep); WASO, waking after sleep onset; Stages 1–4, NREM sleep stages; MT, movement time. *** P < 0.001; ** P < 0.01 * P < 0.05 compared to baseline (paired, two-tailed t -tests). Open in new tab Nrem Sleep Eeg To characterize sleep loss and modafinil-induced changes during sleep in more detail, the spectral composition of the EEG in NREM sleep was quantified. After intake of placebo, prolonged waking enhanced EEG power in delta, theta, and alpha frequencies (0–10.25 Hz) and reduced activity in the frequency range of sleep spindles (13.25–15.75 Hz) irrespective of genotype (condition: F1,60 ≥ 5.05, P ≤ 0.03). The COMT genotype modulated the effect of sleep loss on the 10.5–11.25 Hz band (condition: F1,60 ≥ 8.86, P ≤ 0.005, genotype × condition: F1,60 ≥ 4.58, P ≤ 0.04). In the alpha and sigma range, respectively, EEG activity was increased up to 8.75 Hz and reduced in the 13.0–13.25 Hz range in Val/Val homozygotes, whereas the changes extended to 11.0 Hz and encompassed the 13.5–15.5 Hz range in Met/Met homozygotes (Figure 2B). EEG slow wave activity (SWA, 0.75–4.5 Hz) in NREM sleep is a reliable marker of sleep homeostasis and is consistently reduced after caffeine.4,16 SWA did not differ between Val/Val and Met/Met genotypes in either baseline or recovery nights. In all recordings, SWA was highest in the first NREM sleep episode and declined across consecutive NREM sleep episodes (Figure 3). Moreover, the rebound of SWA after prolonged waking and its time course in recovery sleep were not altered by modafinil when compared to placebo. These data indicate that in both genotypes of COMT, the stimulant did not interfere with the homeostatic build-up and dissipation of sleep pressure. Figure 3 Open in new tabDownload slide Intake of 2 × 100 mg modafinil does not affect the rebound of EEG slow wave activity (C3A2 derivation, power within 0.75-4.5 Hz) in NREM sleep (stages 2–4) after sleep deprivation in either Val/Val or Met/ Met genotype of COMT. Mean slow wave activity in NREM sleep episodes 1–4 in baseline (mean of 2 nights) and recovery nights was expressed as a percentage of the mean all-night values in baseline (dashed vertical lines). Val/Val genotype: black symbols (dots: mean baseline; open triangles: placebo recovery; filled triangles: modafinil recovery). Met/Met genotype: gray symbols (dots: mean baseline; open triangles: placebo recovery; filled triangles: modafinil recovery). Means ± SEM are plotted. *P < 0.01 (placebo-recovery vs. mean baseline; paired, 2-tailed t-tests) +P < 0.03 (modafinil-recovery vs. mean baseline; paired, 2-tailed t-tests) Despite the fact that sleep architecture and SWA were unaffected, modafinil induced subtle genotype- and state-specific changes in the NREM sleep EEG of the recovery night (Figure 4). Compared to placebo, EEG power was enhanced in 3.0–6.75 and 16.75–20.0 Hz ranges exclusively in Val/Val allele carriers (genotype × treatment: F1,60 ≥ 4.06, P ≤ 0.05). The stimulant induced no changes in the EEG in Met/Met allele carriers. Time course analyses revealed that the modafinil-induced increase in 3.0–6.75 Hz activity in the Val/Val homozygotes was restricted to the 3rd NREM sleep episode. Figure 4 Open in new tabDownload slide Modafinil increases EEG 3.0–6.75 and 16.75–20.0 Hz activity in NREM sleep (stages 2–4) in Val/Val genotype but has no effect in Met/Met genotype. Top panel: In each frequency bin between 0.0–20.0 Hz, EEG power (C3A2 derivation) after modafinil was expressed as a percentage of the corresponding values after placebo (horizontal dashed line at 100%). Val/Val genotype: black line (n = 10); Met/Met genotype: gray line (n = 12). Means ± SEM are plotted for each 0.25 Hz bin. Black triangles indicate frequency bins which differed in the Val/Val genotype between modafinil and placebo (P < 0.05, paired 2-tailed t-tests). No significant differences were observed in the Met/Met genotype. Bottom panel: Significant (P < 0.05, black) and non-significant (P > 0.05, white) F-values of genotype × treatment interaction in 3-way mixed-model ANOVA with between-subjects factor genotype (Val/Val, Met/Met) and within-subjects factors condition (baseline, sleep deprivation) and treatment (placebo, modafinil). REM sleep EEG Sleep deprivation not only affected the EEG in wakefulness and NREM sleep, but also in REM sleep. Following intake of placebo, EEG activity in the recovery night was enhanced in REM sleep in delta frequencies (0–5.25 Hz) and reduced in alpha (8.0–10.75) and sigma (12.75–14.0 and 14.5 Hz) bands (condition: F1,60 ≥ 4.36, P ≤ 0.05). The changes were similar in both genotypes, and encompassed virtually all bins in 1.0–3.75 and 8.0–10.5 Hz ranges in Val/Val and in 0.5–4.75 and 9.0–9.5 Hz ranges in Met/Met homozygotes (Figure 2C). modafinil had no effect on EEG activity in REM sleep in either genotype. Discussion The Val158Met polymorphism of COMT reduces COMT enzymatic activity in prefrontal cortex,33 enhances dopamine D1 receptor availability in cortico-limbic structures,33–35 and modifies grey matter volume in hippocampus and dorsolateral prefrontal cortex.36 The main aim of the present study was to quantify the impact of this common genetic variation on the effects of sleep deprivation and modafinil on sleep and EEG markers of sleep homeostasis in wakefulness, NREM sleep, and REM sleep. We found in Val/Val and Met/Met genotypes that sleep loss induced similar alterations in subjective sleepiness, sleep structure, and EEG in wakefulness, NREM sleep, and REM sleep. modafinil was equally effective in both genotypes in attenuating sleepiness and EEG theta activity in wakefulness. By contrast, the stimulant induced no changes in slow wave sleep and EEG slow wave activity in NREM sleep after sleep deprivation. This is in contrast to the adenosine receptor antagonist, caffeine, and demonstrates that modafinil leaves NREM sleep rebound after prolonged wakefulness unaffected. Nevertheless, in NREM sleep, the drug increased EEG activity in 3.0–6.75 and > 16.75 Hz frequencies exclusively in Val/Val allele carriers. Taken together, the data show that the promotion of wakefulness by pharmacological interference with dopaminergic and adenosinergic mechanisms differently affects sleep EEG markers of sleep homeostasis. Prolonged wakefulness increases sleepiness, impairs performance, reduces vigilance, and alters the waking and sleep EEG.2–4 It is widely accepted that these changes reflect a wakefulness-induced increase in sleep pressure, which is homeostatically regulated. The mechanisms underlying sleep homeostasis are not well understood. Recent imaging studies in humans suggested that the brain dopamine system is involved in enhanced sleepiness and reduced cognitive performance after sleep deprivation.37,38 We investigated whether functional genetic variation in dopamine metabolism affects waking-induced changes in distinct markers of sleep homeostasis. Except for the 10.5–11 Hz range in the waking and NREM sleep EEG, the effects of sleep deprivation were the same in homozygous Val and Met allele carriers. While it is possible that genetic variation of COMT and sleep loss influence different aspects of dopamine neurotransmission/receptors (e.g., D1vs. D2/D3 receptors) and different brain areas (e.g., prefrontal cortex vs. striatum), further studies are needed to establish a potential role for dopamine in sleep homeostasis in humans. Many stimulants and wake-promoting medications increase dopaminergic neurotransmission.39 Although the precise mode of action of modafinil remains unclear, data in animals and humans demonstrate that increased dopaminergic neurotransmis-sion also contributes to the effects of modafinil.26–28 In support of this view, we recently reported that the Val158Met polymorphism of COMT strongly modulates the efficacy of modafinil to restore measures of well-being, executive functioning, and sustained attention after sleep loss.14 For example, modafinil maintained baseline performance on the psychomotor vigilance task measuring sustained vigilant attention throughout 40 hours without sleep in Val/Val homozygotes, whereas the same dose was virtually ineffective in Met/Met genotype (Figure 1A). By contrast, here we show that the stimulant reduced a subjective (Stanford Sleepiness Scale) and an objective (EEG 5–8 Hz activity) measure of sleepiness to a similar extent in both genotypes. This observation indicates that different mechanisms control neurobehavioral, subjective, and EEG markers of sleep homeostasis in wakefulness. This notion is consistent with recent findings in individuals who were either vulnerable or resistant to the neurobehavioral consequences of sleep deprivation.11 Our genetic and pharmacological data suggest that dopaminergic mechanisms contribute to the dissociation between performance and waking EEG measures of sleep homeostasis. Similar to modafinil, caffeine improves neurobehavioral performance and subjective sleepiness and attenuates EEG theta activity in wakefulness.7,8 On the contrary, the effects of modafinil on the sleep EEG clearly differ from those of caffeine. Caffeine shortens slow wave sleep, reduces EEG low-delta activity, and increases spindle frequency activity and beta oscillations in NREM sleep.7,17,18,21 In support of the hypothesis that blockade of adenosine receptors during wakefulness attenuates the build-up of sleep pressure, caffeine consistently reduces EEG markers of sleep homeostasis in both wakefulness and sleep. modafinil leaves delta and spindle frequency activity in NREM sleep unaffected when compared to placebo. The state-specific differences between modafinil and caffeine demonstrate that the changes in NREM sleep EEG refect specific actions of different stimulant drugs. In addition, the data show that decreased theta power in wakefulness is not necessarily followed by reduced delta activity in NREM sleep. Different mechanisms thus also underlie stimulant-induced changes in waking and sleep EEG markers of sleep homeostasis. Some studies in cats, rats, mice, and humans reported reduced or absent rebound sleep after modafinil-induced wakefulness.40–43 Because an ideal stimulant may promote wakefulness without subsequent sleep rebound,44 these reports raised widespread interest in modafinil. However, it may also be argued that a stimulant that lacks interference with sleep-wake regulation is advantageous. Indeed, other studies showed that modafinil-induced wakefulness enhances slow wave sleep duration and NREM sleep intensity as measured by EEG delta activity to a similar extent as the same duration of non-pharmacological sleep deprivation.14,44–48 These reports are consistent with the present data and demonstrate that modafinil does not attenuate slow wave sleep and slow wave activity in recovery sleep after sleep deprivation. To investigate whether modafinil affects other markers of sleep homeostasis, we extended our analyses to the entire 0–20 Hz EEG power spectrum in wakefulness and sleep. In agreement with the preliminary results of another group,49 we found that during prolonged wakefulness, modafinil reduced theta activity (Figure 1C) and increased high alpha (11–13 Hz) oscillations29 when compared to placebo. These changes in the waking EEG were independent of COMT genotype. By contrast, the evolution across sleep deprivation of power in the 8–12 Hz band was not affected by modafinil (data not shown). This observation is opposite to a previous study, which suggested that modafinil inhibits the decrease of 8.5–11.5 Hz power present under placebo.50 Differences in drug doses, time of administration, and data analyses may underlie the discrepant findings. Compared to placebo, modafinil increased 3.0–6.75 and > 16.75 Hz activity in NREM sleep in Val/Val allele carriers, whereas no such effects were observed in Met/Met homozygotes. The differences between the genotypes were not apparent from visual scoring because the scoring rules do not rely on EEG activity in these frequencies.31 It is well established that extension of prior wakefulness not only enhances delta activity but also theta oscillations in NREM sleep, whereas EEG power in the frequency range of sleep spindles is reduced4,51,52 (see also Figure 2B). To examine whether the genotype-specific modulation of 3.0–6.75 Hz activity reflects an interaction of modafinil with sleep homeostasis, a time course analysis was performed. Because the increase in the Val/Val genotype occurred in the third NREM sleep episode, when sleep pressure has largely dissipated, we suggest that it reflects a drug effect rather than an interaction with sleep regulation. This conclusion is further supported by the lack of effects of modafinil on low-delta and spindle frequencies in NREM sleep, and the absence of any EEG changes in REM sleep. Interestingly, also the dopamine D1/D2 receptor antagonist pergolide was reported to affect the sleep EEG in sleep state-specific manner.53 Comparison with this study, however, is difficult because it was conducted in patients with restless legs syndrome and did not include sleep deprivation. The functional significance of the genotype-dependent increase in 3.0–6.75 Hz activity in NREM sleep after modafinil remains to be elucidated in future studies. Notwithstanding, our data highlight the importance of genetic factors when investigating pharmacological changes in the sleep EEG. Acknowledgments We thank S. Xu, C. Stoll, T. Rusterholz, Dr. R. Dürr, V. Bachmann, Dr. E. Geissler, Dr. K. Jaggi, Dr. S. Regel, Dr. R. Khatami, Dr. U. Luhmann, Dr. N. Schäfer, Prof. W. Berger, and Prof. H. Jung, for their help with data collection and analysis, blood drawing, isolation of DNA, and genotyping. We are also indebted to Dr. C. Kopp and Prof. A. A. 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Sabanayagam, Charumathi; Shankar, Anoop
doi: 10.1093/sleep/33.8.1037pmid: 20815184
AbstractBackground:Previous studies have shown that both short and long sleep durations are related to increased likelihood of diabetes and hypertension. However, the relation between sleep duration and cardiovascular disease (CVD) is not clear. We examined the hypothesis that compared with sleep duration of 7 hours, shorter and longer sleep durations are independently related to CVD.Methods:We conducted a cross-sectional study of 30,397 National Health Interview Survey 2005 participants ≥ 18 years of age (57.1% women). Sleep duration was categorized as ≤ 5 hours, 6 hours, 7 hours, 8 hours, and ≥ 9 hours. The main outcome of interest was the presence of any CVD (n = 2146), including myocardial infarction, angina, and stroke.Results:We found both short and long sleep durations to be independently associated with CVD, independent of age, sex, race-ethnicity, smoking, alcohol intake, body mass index, physical activity, diabetes mellitus, hypertension, and depression. Compared with a sleep duration of 7 h (referent), the multivariate odds ratio (95% confidence interval) of CVD was 2.20 (1.78, 2.71), 1.33 (1.13, 1.57), 1.23 (1.06, 1.41), and 1.57 (1.31, 1.89) for sleep duration ≤ 5 h, 6 h, 8 h, and ≥ 9 h. This association persisted in subgroup analyses by gender, race-ethnicity, and body mass index categories. Also, similar associations were observed when we examined myocardial infarction and stroke separately.Conclusion:Compared with sleep duration of 7 h, there was a positive association between both shorter and longer sleep durations and CVD in a representative sample of US adults. These results suggest that sleep duration may be an important marker of CVD.
Levine, Adam C.; Adusumilli, Josna; Landrigan, Christopher P.
doi: 10.1093/sleep/33.8.1043pmid: 20815185
AbstractStudy Objectives:The Institute of Medicine (IOM) has called for the elimination of resident work shifts exceeding 16 hours without sleep. We sought to comprehensively evaluate the effects of eliminating or reducing shifts over 16 hours.Design and Outcome Measures:We performed a systematic review of published and unpublished studies (1950–2008) to synthesize data on all intervention studies that have reduced or eliminated U.S. residents' extended shifts. A total of 2,984 citations were identified initially, which were independently reviewed by two authors to determine their eligibility for inclusion. All outcomes relevant to quality of life, education, and safety were collected. Study quality was rated using the U.S. Preventive Services Task Force methodology.Measurements and Results:Twenty-three studies met inclusion criteria (κ = 0.88 [95% CI, 0.77–0.94] for inclusion decisions). Following reduction or elimination of extended shifts, 8 of 8 studies measuring resident quality of life found improvements. Four of 14 studies that assessed educational outcomes found improvements, 9 found no significant changes, and one found education worsened. Seven of 11 identified statistically significant improvements in patient safety or quality of care; no studies found that safety or care quality worsened.Conclusions:In a systematic review, we found that reduction or elimination of resident work shifts exceeding 16 hours did not adversely affect resident education, and was associated with improvements in patient safety and resident quality of life in most studies. Further multi-center studies are needed to substantiate these findings, and definitively measure the effects of eliminating extended shifts on patient outcomes.
Richardson, Heidi L.; Walker, Adrian M.; Horne, Rosemary S.C.
doi: 10.1093/sleep/33.8.1055pmid: 20815186
AbstractIntroduction:Victims of the sudden infant death syndrome (SIDS) may have preexisting abnormalities in their arousal pathways, inhibiting the progression of subcortical activation (SCA) to full cortical arousal (CA). Approximately 60% of SIDS victims are male, and it has been suggested that male infants have delayed cortical maturation compared to females. We hypothesized that CA frequency would be lower and CA threshold would be higher in male infants during both active (AS) and quiet (QS) sleep.Methods:50 healthy term infants (21 male, 29 female) were studied with daytime polysomnography at 2–4 weeks and 2–3 months after birth. Arousal from sleep was induced using a pulsatile air-jet to the nostrils at increasing pressures.Results:At 2–4 weeks, arousability from AS was similar in males and females, however during QS, male infants required a lower stimulus to induce SCA and CA. This gender difference in arousal threshold was not observed at 2–3 months. CA frequencies were similar between genders during both sleep states at both ages, though overall, CA was more frequent in AS than in QS.Conclusions:This study demonstrated that at 2–4 weeks, male infants were easier to arouse than female infants during QS. There were no significant effects of gender on total arousability or SCA and CA frequencies at 2–3 months, the age of peak SIDS incidence. Thus, although male infants are at greater risk of SIDS than female infants, this difference is unlikely to be associated with gender differences in CA threshold or frequency.
Braley, Tiffany J.; Chervin, Ronald D.
doi: 10.1093/sleep/33.8.1061pmid: 20815187
AbstractAmong patients with multiple sclerosis (MS), fatigue is the most commonly reported symptom, and one of the most debilitating. Despite its high prevalence and significant impact, fatigue is still poorly understood and often under-emphasized because of its complexity and subjective nature. In recent years, an abundance of literature from specialists in sleep medicine, neurology, psychiatry, psychology, physical medicine and rehabilitation, and radiology have shed light on the potential causes, impact, and treatment of MS-related fatigue. Though such a diversity of contributions clearly has advantages, few recent articles have attempted to synthesize this literature, and existing overviews have focused primarily on potential causes of fatigue rather than clinical evaluation or treatment. The aims of this review are to examine, in particular for sleep specialists, the most commonly proposed primary and secondary mechanisms of fatigue in MS, tools for assessment of fatigue in this setting, and available treatment approaches to a most common and challenging problem.
Epstein, Matthew D.; Segal, Leopoldo N.; Ibrahim, Sherin M.; Friedman, Neil; Bustami, Rami
doi: 10.1093/sleep/33.8.1069pmid: 20815188
AbstractBackground:Obstructive sleep apnea (OSA) is associated with prothrombotic effects that could lead to venous thromboembolic disease. We performed a prospective cross-sectional study to determine the prevalence of snoring and risk of OSA in patients with acute pulmonary embolism (PE). Methods: We evaluated 270 consecutive patients who underwent a computed tomographic angiogram for suspected PE. Patients without PE served as a control group. Demographic and clinical characteristics were analyzed. The Berlin Questionnaire was used to determine the presence of snoring and the risk of OSA. A subset of patients also underwent formal nocturnal polysomnography.Results:PE was present in 71 (26%) of the 270 patients who underwent a computed tomographic angiogram. When compared with patients without PE, patients with PE had a significantly higher prevalence of snoring (75% vs 50%, odds ratio = 2.91, 95% confidence interval: 1.60, 5.33, P = 0.001) and an increased risk of having OSA, as defined by the Berlin Questionnaire (65% vs 36%, odds ratio = 3.25, confidence interval: 1.84, 5.72, P < 0.001). Results from the multivariate analysis showed that PE was independently associated with risk of OSA (OR = 2.78, P = 0.001). Conclusions: We found a higher prevalence of snoring and high risk of OSA in patients diagnosed with acute PE, in comparison with patients in whom PE was suspected but ruled out. This association might be independent of other risks factors common to both OSA and PE. Therefore, OSA may represent a risk factor for the development of PE.
Lee, Richard W. W.; Vasudavan, Sivabalan; Hui, David S.; Prvan, Tania; Petocz, Peter; Darendeliler, M. Ali; Cistulli, Peter A.
doi: 10.1093/sleep/33.8.1075pmid: 20815189
AbstractStudy Objectives:To explore differences in craniofacial structures and obesity between Caucasian and Chinese patients with obstructive sleep apnea (OSA).Design:Inter-ethnic comparison study.Setting:Two sleep disorder clinics in Australia and Hong Kong.Patients:150 patients with OSA (74 Caucasian, 76 Chinese).Interventions:Anthropometry, cephalometry, and polysomnography were performed and compared. Subgroup analyses after matching for: (1) body mass index (BMI); (2) OSA severity.Measurements and Results:The mean age and BMI were similar between the ethnic groups. Chinese patients had more severe OSA (AHI 35.3 vs 25.2 events/h, P = 0.005). They also had more craniofacial bony restriction, including a shorter cranial base (63.6 ± 3.3 vs 77.5 ± 6.7 mm, P < 0.001), maxilla (50.7 ± 3.7 vs 58.8 ± 4.3 mm, P < 0.001) and mandible length (65.4 ± 4.2 vs 77.9 ± 9.4 mm, P < 0.001). These findings remained after correction for differences in body height. Similar results were shown in the BMI-matched analysis (n = 66). When matched for OSA severity (n = 52), Chinese patients had more craniofacial bony restriction, but Caucasian patients were more overweight (BMI 30.7 vs 28.4 kg/m2, P = 0.03) and had a larger neck circumference (40.8 vs 39.1 cm, P = 0.004); however, the ratios of BMI to the mandible or maxilla size were similar.Conclusions:Craniofacial factors and obesity contribute differentially to OSA in Caucasian and Chinese patients. For the same degree of OSA severity, Caucasians were more overweight, whereas Chinese exhibited more craniofacial bony restriction.
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