Anxiety disorders are common in Parkinson's Disease (PD), but are not well-characterized. This study determined the prevalence and clinical correlates of all DSM-IV-TR anxiety disorder diagnoses in a sample of 127 subjects with idiopathic PD who underwent comprehensive assessments administered by a psychiatrist and neurologist. A panel of six psychiatrists with expertise in geriatric psychiatry and/or movement disorders established by consensus all psychiatric diagnoses. Current and lifetime prevalence of at least one anxiety disorder diagnosis was 43% (n=55) and 49% (n=63), respectively. Anxiety Disorder Not Otherwise Specified, a DSM diagnosis used for anxiety disturbances not meeting criteria for defined subtypes, was the most common diagnosis (30% lifetime prevalence, n=38). Compared to non-anxious subjects, panic disorder (n=13) was associated with earlier age of PD onset [50.3(12.2) vs. 61.0(13.7) years, p<.01], higher rates of motor fluctuations [77% (10/13) vs. 39% (25/64), p=.01] and morning dystonia [38% (5/13) vs. 13% (8/62), p<.03]. This high prevalence of anxiety disorders, including disturbances often not meeting conventional diagnostic criteria, suggests that anxiety in PD is likely under-diagnosed and under-treated and refined characterization of anxiety disorders in PD is needed. In addition, certain anxiety subtypes may be clinically useful markers associated with disease impact in PD.
Mood disorders are the most common psychiatric problem associated with Parkinson's disease (PD), and have a negative impact on disability and quality of life. Accurate diagnosis of depressive disturbances in PD is critical and will facilitate the testing and use of new interventions; however, there are no clear diagnostic criteria for depressive disorders in PD. In their current form, strict Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria are difficult to use in PD and require attribution of specific symptoms to PD itself or the depressive syndrome. Additionally, DSM criteria for major depression and dysthymia exclude perhaps half of PD patients with comorbid clinically significant depression. This review summarizes an NIH-sponsored workshop and describes recommended changes to DSM diagnostic criteria for depression for use in PD. Participants also recommended: (1) an inclusive approach to symptom assessment to enhance reliability of ratings in PD and avoid the need to attribute symptoms to a particular cause; (2) the inclusion of subsyndromal depression in clinical research studies of depression of PD; (3) the specification of timing of assessments for PD patients with motor fluctuations; and (4) the use of informants for cognitively impaired patients. The proposed diagnostic criteria are provisional and intended to be defined further and validated but provide a common starting point for clinical research in PD-associated depression.
Duchenne muscular dystrophy (DMD) is the most common and the most severe of the muscular dystrophies in man. It is inherited as an X-linked recessive trait and is characterized by ongoing necrosis of skeletal muscle fibres with regeneration and eventually fibrosis and fatty infiltration. Although the gene and gene product which are defective in DMD have recently been identified, the pathogenesis of the disease is still poorly understood. A myopathy has been described in the dog which has been shown to be inherited as an X-linked trait and which is therefore a potential model of the human disease. We have studied the phenotypic expression of the disease, canine X-linked muscular dystrophy (CXMD), and have examined the molecular relationship between it and DMD. We report here that dogs with CXMD faithfully mimic the phenotype of Duchenne muscular dystrophy and that they lack the Duchenne gene transcript and its protein product, dystrophin.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.