Objective: To assess the specific effect of dizziness on psychosocial outcome after mild to moderate traumatic brain injury (TBI).
Design: Six-month cross-sectional study. Setting An outpatient TBI clinic in a tertiary care referral center. Participants A consecutive sample of 207 adults with mild to moderate TBI, 138 (66.7%) of whom had subjective complaint of posttraumatic dizziness.
Interventions: Not applicable.
Main Outcome Measures: Psychosocial indices (Glasgow Outcome Scale [GOS], General Health Questionnaire [GHQ], Rivermead Head Injury Follow-Up Questionnaire [RHFUQ], return to work status) were collected from dizzy and nondizzy patients.
Results: Despite similar demographic, TBI, and global disability (GOS) profiles of both groups, psychosocial functioning (GHQ, RHFUQ, return to work) was significantly worse in dizzy subjects ( P <.01 for all indices). A logistic regression analysis identified dizziness ( P =.006), total GHQ ( P =.001), and psychotropic and analgesic use ( P =.05) as significant independent predictors of reemployment.
Conclusions: Although dizziness was closely linked to psychologic distress at 6 months after head injury, it also emerged as an independent predictor of failure to return to work, suggesting that not all its adverse effects on outcome are psychologically mediated. Clinicians need to be alert to the presence of dizziness as an adverse prognostic indicator after mild to moderate TBI.
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http://dx.doi.org/10.1016/j.apmr.2004.02.012 | DOI Listing |
Purpose: We designed a study investigating the cardioprotective role of sleep apnea (SA) in patients with acute myocardial infarction (AMI), focusing on its association with infarct size and coronary collateral circulation.
Methods: We recruited adults with AMI, who underwent Level-III SA testing during hospitalization. Delayed-enhancement cardiac magnetic resonance (CMR) imaging was performed to quantify AMI size (percent-infarcted myocardium).
Front Child Adolesc Psychiatry
May 2024
Social Psychiatry and Mental Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Introduction: The present study conducted a secondary data analysis of a comprehensive survey from Child Guidance Centers in Japan to identify factors that are associated with child abuse severity in infancy (0-3 years, 1,868 cases) and preschool age (4-6 years, 1,529 cases). A predictive model for abuse severity was developed.
Methods: The data originated from a nationwide survey that was conducted in April 2013, consisting of details of abuse cases, including child characteristics, abuser attributes, and family situation.
Ecancermedicalscience
November 2024
Department of Community Health and Primary Care, College of Medicine, University of Lagos, Idi-araba, Lagos 101017, Nigeria.
Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a major side effect associated with chemotherapy. It can lead to detrimental dose reductions and discontinuation of treatment because of its significant effect, which impairs the quality of life among the surviving population of cancer patients. This study assesses the prevalence and predictors of CIPN among female breast cancer patients receiving chemotherapy at the Lagos University Teaching Hospital and Lagos State University Teaching Hospital (LUTH and LASUTH), respectively.
View Article and Find Full Text PDFBraz J Vet Med
January 2024
Veterinarian, DSc., Departamento de Clínica Veterinária, FMVZ, UNESP, Botucatu, São Paulo, Brazil.
Intestinal parasites of the genus are the most prevalent in coproparasitological examinations and necropsies of dogs in Brazil. Although adult dogs often remain asymptomatic when infected, there is limited published information concerning the laboratory and clinical findings and severity of infection in symptomatic adult dogs. Therefore, this study aimed to characterize the clinical and laboratory findings of adult -infected dogs.
View Article and Find Full Text PDFNarra J
December 2024
Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis severity. A dataset containing 1,546 clinical images was subjected to pre-processing techniques, including cropping and applying noise reduction through median filtering.
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