Introduction: The prevalence and risk factors of anxiety and depression symptoms in relatives of moderate to severe traumatic brain injury (TBI) survivors have not been thoroughly investigated.
Methods: Ancillary study of a multicentric prospective randomized-controlled trial in nine university hospitals in 370 moderate-to-severe TBI patients. TBI survivor-relative dyads were included in the 6th month of follow-up. Relatives responded to the Hospital Anxiety and Depression Scale (HADS). The primary endpoints were the prevalence of severe symptoms of anxiety (HADS-Anxiety ≥ 11) and depression (HADS-Depression ≥ 11) in relatives. We explored the risk factors of severe anxiety and depression symptoms.
Results: Relatives were predominantly women (80.7%), spouse-husband (47.7%), or parents (39%). Out of the 171 dyads included, 83 (50.6%) and 59 (34.9%) relatives displayed severe symptoms of anxiety and depression, respectively. Severe anxiety symptoms in relatives were independently associated with the patient's discharge at home (OR 2.57, 95%CI [1.04-6.37]) and the patient's higher SF-36 Mental Health domain scores (OR 1.03 95%CI [1.01-1.05]). Severe depression symptoms were independently associated with a lower SF-36 Mental Health domain score (OR = 0.98 95%CI [0.96-1.00]). No ICU organization characteristics were associated with psychological symptoms in relatives.
Discussion: There is a high prevalence of anxiety and depression symptoms among relatives of moderate-to-severe TBI survivors at 6 months. Anxiety and depression were inversely correlated with the patient's mental health status at 6 months.
Conclusions: Long-term follow-up must provide psychological care to relatives after TBI.
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http://dx.doi.org/10.1016/j.accpm.2023.101232 | DOI Listing |
Int J Cardiol Congenit Heart Dis
June 2023
KU Leuven School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Mental health issues are common in individuals with congenital heart disease (CHD), stemming from various factors such as traumatic experiences, existential questions, and genetic predisposition. This article provides an overview of the literature on mental disorders and mental health in adults with CHD (ACHD) and presents new data on mental health as a predictor of quality of life (QoL). Empirical data show that disorders such as depression, anxiety, bipolar disorder, psychosis, Attention Deficit Hyperactivity Disorder (ADHD), and autism spectrum disorders occur more often in people with CHD than in healthy counterparts (Graphical abstract).
View Article and Find Full Text PDFWe present the Large PSG Model (LPSGM), a unified and flexible framework for sleep staging and disease diagnosis using polysomnography (PSG) data. LPSGM is designed to address the challenges of cross-center generalization in sleep staging and to enable fine-tuning for downstream disease diagnosis tasks. LPSGM introduces a unified training framework for heterogeneous datasets and allows flexible channel input adjustments during inference.
View Article and Find Full Text PDFAnn Surg Open
December 2024
Division of Palliative Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Background: Although resection is generally necessary for curative-intent treatment of most solid organ cancers, surgery is occasionally aborted due to intraoperative findings. Following aborted cancer surgery, patients have unique care needs that specialized palliative care (PC) providers may be best equipped to manage. We hypothesized that early ambulatory PC referral following aborted cancer surgery would be feasible and acceptable.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, Nevada, USA.
Introduction: Understanding how contextual socioeconomic factors are associated with psychosocial distress among different ethnoracial groups is important for addressing health disparities in individuals at risk for Alzheimer's disease.
Methods: Using Health and Aging Brain Study-Health Disparities (HABS-HD) data collected between 2017 and 2023, we examined the association of neighborhood disadvantage with psychosocial distress using demographically adjusted linear regression models, stratified by ethnoracial group and cognitive status.
Results: We included 630 non-Hispanic Black, 1109 Hispanic, and 1068 non-Hispanic White older adults deemed cognitively normal (CN) or diagnosed with mild cognitive impairment (MCI).
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