Publications by authors named "Vincent Capaldi"

Article Synopsis
  • Traumatic brain injury (TBI) is common in veterans and is linked to various long-term sleep-wake disorders (SWD) that are not fully understood, which complicates diagnosis and treatment.
  • A literature review identified gaps in knowledge regarding the pathophysiology of TBI-related sleep issues, compared them with post-traumatic stress disorder sleep disturbances, and highlighted the importance of biomarkers and treatment strategies.
  • The conclusion stresses that a better understanding of the scientific basis for TBI and its impact on sleep is needed, focusing on biomarkers and neuroimaging to improve diagnosis and therapy in affected veterans.
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Background And Objectives: Insomnia affects about one-third of patients with traumatic brain injury and is associated with worsened outcomes after injury. We hypothesized that higher levels of plasma neuroinflammation biomarkers at the time of TBI would be associated with worse 12-month insomnia trajectories.

Methods: Participants were prospectively enrolled from 18 level-1 trauma centers participating in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury study from February 26, 2014, to August 8, 2018.

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Article Synopsis
  • The study focuses on improving treatment for military personnel suffering from insomnia by using a machine learning model to predict responses to cognitive behavioral therapy for insomnia (CBT-I).
  • The model analyzed data from 1,449 US Army soldiers and achieved a prediction accuracy of about 60%, identifying significant predictors like insomnia severity and suicidal ideation.
  • The results suggest that using this model could help target individuals who are more likely to benefit from CBT-I, promoting a personalized approach to insomnia treatment in military settings.
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Background: Sleep problems are common and costly in the US military. Yet, within the military health system, there is a gross shortage of trained specialist providers to address sleep problems. As a result, demand for sleep medicine care far exceeds the available supply.

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We previously described five trajectories of insomnia (each defined by a distinct pattern of insomnia severity over 12 months following traumatic brain injury [TBI]). Our objective in the present study was to estimate the association between insomnia trajectory status and trajectories of mental health and neurocognitive outcomes during the 12 months after TBI. In this study, participants included  = 2022 adults from the Federal Inter-agency Traumatic Brain Injury Repository database and Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study.

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Study Objectives: Although many military personnel with insomnia are treated with prescription medication, little reliable guidance exists to identify patients most likely to respond. As a first step toward personalized care for insomnia, we present results of a machine-learning model to predict response to insomnia medication.

Methods: The sample comprised n = 4,738 nondeployed US Army soldiers treated with insomnia medication and followed 6-12 weeks after initiating treatment.

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Objective: Insufficient and disturbed sleep are associated with significant morbidity among working-age adults. Poor sleep results in negative health outcomes and increases economic costs to employers. The current systematic review surveyed the peer-reviewed scientific literature and aggregated scientific evidence of sleep-related economic burdens borne by employers.

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The impact of traumatic brain injury (TBI) severity and loss of consciousness (LOC) on the development of neuropsychiatric symptoms was studied in injured service members (SMs;  = 1278) evacuated from combat settings between 2003 and 2012. TBI diagnoses of mild TBI (mTBI) or moderate-to-severe TBI (MS-TBI) along with LOC status were identified using International Classification of Diseases, Ninth Revision (ICD-9) codes and the Defense and Veterans Brain Injury Center Standard Surveillance Case Definition for TBI. Self-reported psychiatric symptoms were evaluated for post-traumatic stress disorder (PTSD) with the PTSD Checklist, Civilian Version for PTSD, the Patient Health Questionnaire-9 for major depressive disorder (MDD), and the Patient Health Questionnaire-15 for somatic symptom disorder (SSD) in two time periods post-injury: Assessment Period 1 (AP1, 0.

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Study Objectives: The majority of active-duty service members obtain insufficient sleep, which can influence diagnostic evaluations for sleep disorders, including disorders of hypersomnolence. An incorrect diagnosis of hypersomnia may be career ending for military service or lead to inappropriate medical care. This study was conducted to assess the rates at which narcolepsy (Nc) and idiopathic hypersomnia (IH) are diagnosed by military vs civilian sleep disorders centers.

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Introduction: Sleep disorders are common in the military, and there is a gross shortage of sleep specialists in the military health system. The purposes of the present study were to (1) understand perceptions and expectations surrounding sleep telehealth approaches and (2) solicit feedback to optimize and refine a proposed novel sleep telehealth management platform. To accomplish these objectives, we investigated the perceptions, expectations, and preferences of active duty service members (ADSMs) with sleep disorders, primary care managers (PCMs), and administrative stakeholders regarding sleep telehealth management.

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Article Synopsis
  • Insomnia is a common problem after a traumatic brain injury (TBI) and can lead to ongoing health issues.
  • Researchers studied how people's insomnia changed over a year after their injuries by looking at data from a large study called TRACK-TBI.
  • They found five different groups of insomnia symptoms among over 2,000 participants, including those with ongoing mild or severe insomnia and those whose symptoms improved or seemed to develop later.
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Introduction: At the start of the coronavirus disease 2019 (COVID-19) pandemic, Walter Reed Army Institute of Research (WRAIR) mobilized to rapidly conduct medical research to detect, prevent, and treat the disease in order to minimize the impact of the pandemic on the health and readiness of U.S. Forces.

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Study Objectives: To describe initial insomnia-related encounters among a national sample of Medicare beneficiaries, and to identify older adults at risk for potentially inappropriate prescription insomnia medication usage.

Methods: Our data source was a random 5% sample of Medicare administrative claims data (2006-2013). Insomnia was operationalized as International Classification of Disease, Ninth Revision, Clinical Modification diagnostic codes.

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Article Synopsis
  • Soldiers in multi-domain operations (MDO) need physical strength, mental sharpness, and emotional stability, which optimal sleep can enhance.
  • The review discusses the impact of sleep on soldier readiness, the connection between sleep and pain, and challenges in military training that affect sleep quality.
  • Integrating sleep science into military planning and operations is vital for improving performance and managing fatigue, making it a key focus for military leaders.
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Introduction: Sleep disorders' are highly prevalent among U.S. active duty service members (ADSMs) and present well-documented challenges to military health, safety, and performance.

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Background: The impact of sleep disorders on active duty Soldiers' medical readiness is clinically significant. Sleep disorders often present high comorbidity with disease states impacting readiness ranging from obesity and drug dependence. Patient data generated from military health databases can be accessed to examine such relationships.

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Article Synopsis
  • The G308A gene polymorphism affects how well people perform under total sleep deprivation (TSD) conditions.
  • In a study, participants underwent 48 hours of TSD while taking different doses of caffeine in a controlled setting.
  • The findings showed that people with the A allele of the G308A gene are more resilient to performance decline during TSD, and caffeine didn’t change this effect, indicating that the gene and caffeine work through separate mechanisms.
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Background: Sleep loss negatively impacts stationary balance in a laboratory setting, but few studies have examined this link in a naturalistic environment. We tested this relationship in U.S.

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