Post-Traumatic Sleep-Wake Disorders

Exploration of the Relationships Between Stress and Distinct Pain and Sleep Disturbance Profiles in Patients Undergoing Chemotherapy

BACKGROUND

Unrelieved pain and sleep disturbance are common symptoms in oncology patients. Increased stress may be an underlying cause for both symptoms.

OBJECTIVES

The purposes of this study were to identify subgroups of outpatients with distinct pain and sleep disturbance profiles and to evaluate differences among these subgroups in demographic and clinical characteristics. Differences in global stress, cancer-specific stress, and cumulative life stress, as well as resilience and coping, were evaluated.

METHODS

Patients (N = 1343) completed self-report questionnaires for demographic and clinical characteristics and stress, resilience, and coping. Latent profile analysis was used to identify subgroups of patients with distinct pain and sleep disturbance profiles. Differences among the subgroups were determined using parametric and nonparametric tests.

RESULTS

Three distinct profiles were identified (ie, No Pain + Moderate Sleep Disturbance (SD) (27.6%), Moderate Pain + Moderate SD (38.6%), Severe Pain + High SD (33.8%)). Compared with the other 2 classes, Severe Pain + High SD class was younger, had fewer years of education, was more likely to be female, more likely to live alone, less likely to be employed, and had a higher level of comorbidity. This class had the highest stress scores and was more likely to report higher rates of adverse childhood experiences.

CONCLUSION

Over 70% of our sample reported clinically meaningful levels of both symptoms, and 33.8% reported relatively high rates of adverse childhood experiences.

IMPLICATION FOR PRACTICE

Clinicians need to perform routine assessments, particularly of adverse childhood experiences, and initiate appropriate referrals.

Trajectories of Fatigue, Psychological Distress, and Coping Styles After Mild Traumatic Brain Injury: A 6-Month Prospective Cohort Study

OBJECTIVE

To analyze fatigue after mild traumatic brain injury (TBI) with latent class growth analysis (LCGA) to determine distinct recovery trajectories and investigate influencing factors, including emotional distress and coping styles.

DESIGN

An observational cohort study design with validated questionnaires assessing fatigue, anxiety, depression, posttraumatic stress, and coping at 2 weeks and 3 and 6 months postinjury.

SETTING

Three level 1 trauma centers.

PARTICIPANTS

Patients with mild TBI (N=456).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Fatigue was measured with the fatigue severity subscale of the Checklist Individual Strength, including 8 items (sum score, 8-56). Subsequently, 3 clinical categories were created: high (score, 40-56), moderate (score, 26-38), and low (score, 8-25).

RESULTS

From the entire mild TBI group, 4 patient clusters with distinct patterns for fatigue, emotional distress, and coping styles were found with LCGA. Clusters 1 and 2 showed favorable recovery from fatigue over time, with low emotional distress and the predominant use of active coping in cluster 1 (30%) and low emotional distress and decreasing passive coping in cluster 2 (25%). Clusters 3 and 4 showed unfavorable recovery, with persistent high fatigue and increasing passive coping together with low emotional distress in cluster 3 (27%) and high emotional distress in cluster 4 (18%). Patients with adverse trajectories were more often women and more often experiencing sleep disturbances and pain.

CONCLUSIONS

The prognosis for recovery from posttraumatic fatigue is favorable for 55% of mild TBI patients. Patients at risk for chronic fatigue can be signaled in the acute phase postinjury based on the presence of high fatigue, high passive coping, and, for a subgroup of patients, high emotional distress. LCGA proved to be a highly valuable and multipurpose statistical method to map distinct courses of disease-related processes over time.

Sleep Disturbances in Traumatic Brain Injury: Associations With Sensory Sensitivity

STUDY OBJECTIVES

Sleep disturbances following traumatic brain injury (TBI) in Veterans are very common and often persist as chronic sequelae. In addition, sensory sensitivity, ie, discomfort upon exposure to light and noise, is common after TBI. However, the relationship between sleep disturbances and sensory sensitivity in Veterans following TBI has not yet been examined, yet both are established early markers of neurodegeneration.

METHODS

Veterans (n = 95) in the chronic phase of recovery from TBI at the VA Portland Health Care System completed an overnight polysomnography and provided self-report data on sensory (eg, light and noise) sensitivity, and sleep disturbances. Participants were categorized into four sensory sensitivity groups: (1) "neither," neither light nor noise sensitivity (n = 36); (2) "light," only light sensitivity (n = 12); (3) "noise," only noise sensitivity (n = 24); and (4) "both," light and noise sensitivity (n = 23).

RESULTS

Veterans with TBI reported sleep disturbances that were significantly correlated with the severity of their sensory sensitivity and associated with posttraumatic stress disorder (PTSD). Multiple linear regression revealed insomnia severity to be the strongest predictor of the relationship between sleep disturbances and sensory sensitivity. Furthermore, sensory sensitivity was associated with a higher mean heart rate during sleep, even after controlling for PTSD status.

CONCLUSIONS

These data are the first to report the prevalence and association between sensory sensitivity and sleep disturbances in Veterans with TBI. These data also suggest that the underlying mechanism of the sleep-sensory relationship could be due in part to comorbid PTSD and autonomic nervous system hyperarousal.

Sleep and Psychiatric Disorders in Persons With Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) frequently challenges the integrity of sleep function by affecting multiple brain areas implicated in controlling the switch between wakefulness and sleep and those involved in circadian and homeostatic processes; the malfunction of each causes a variety of disorders. In this review, we discuss recent data on the dynamics between disorders of sleep and mental/psychiatric disorders in persons with mTBI. This analysis sets the stage for understanding how a variety of physiological, emotional and environmental influences affect sleep and mental activities after injury to the brain. Consideration of the intricate links between sleep and mental functions in future research can increase understanding on the underlying mechanisms of sleep-related and psychiatric comorbidity in mTBI.