10 research outputs found
Premanifest Huntington's disease: Examination of oculomotor abnormalities in clinical practice.
Different oculomotor abnormalities have been reported to occur in premanifest Huntington's disease. The aim of this study is to investigate which oculomotor items of the Unified Huntington's Disease Rating Scale (UHDRS) are affected in premanifest individuals compared to healthy controls, and if CAG repeat length and age are correlated with oculomotor abnormalities in premanifest Huntington's disease gene carriers.We compared baseline data of 70 premanifest individuals and 27 controls who participated in the Enroll-HD study at the Leiden University Medical Center, the Netherlands. Premanifest gene carriers were divided in individuals near to disease onset and individuals far from disease onset.Using a logistic regression model, only horizontal ocular pursuit of the six oculomotor items of the UHDRS was significantly more frequently affected in premanifest individuals close to disease onset compared to controls (p = 0.044, OR 13.100). Age was significantly higher in premanifest individuals with affected horizontal ocular pursuit (p = 0.016, OR 1.115) and with affected vertical ocular pursuit (p = 0.030, OR 1.065) compared to premanifest individuals without ocular pursuit deficits.Our results suggest that horizontal ocular pursuit is the only affected oculomotor item of the UHDRS in premanifest individuals and could be used to assess early clinical signs of Huntington's disease. Saccade initiation and saccade velocity do not seem useful for detecting differences between premanifest individuals and controls
Relationship of CAG repeat length and age in premanifest individuals (<i>n</i> = 70) with horizontal and vertical ocular pursuit.
<p>Relationship of CAG repeat length and age in premanifest individuals (<i>n</i> = 70) with horizontal and vertical ocular pursuit.</p
Relationship of premanifest individuals and controls with the oculomotor items of the UHDRS.
<p>Relationship of premanifest individuals and controls with the oculomotor items of the UHDRS.</p
Premanifest Huntington’s disease: Examination of oculomotor abnormalities in clinical practice
Chronic Treatment with the AMP-Kinase Activator AICAR Increases Glycogen Storage and Fatty Acid Oxidation in Skeletal Muscles but Does Not Reduce Hyperglucagonemia and Hyperglycemia in Insulin Deficient Rats
Climate change affects low trophic level marine consumers: warming decreases copepod size and abundance
Prediction of cognition in Parkinson's disease with a clinical–genetic score: a longitudinal analysis of nine cohorts
International audienceSummary Background Cognitive decline is a debilitating manifestation of disease progression in Parkinson’s disease. We aimed to develop a clinical-genetic score to predict global cognitive impairment in patients with the disease. Methods A prediction algorithm for global cognitive impairment (defined as Mini Mental State Exam (MMSE) ≤25) was built using data from 1,350 patients with 5,165 longitudinal visits over 12.8 (median, 2.8) years. Age at onset, MMSE, education, motor exam score, gender, depression and GBA mutations, machine selected through stepwise Cox’ hazards analysis and Akaike’s information criterion, were used to compute the multivariable predictor. Independent validation was achieved in another 1,132 patients with 19,127 visits over 8.6 (median, 6.5) years. Findings The cognitive risk score accurately predicted cognitive impairment within ten years of disease onset with an area under the curve (AUC) of >0.85 in both the discovery (95% CI, 0.821–0.902) and validation populations (95% CI, 0.779 – 0.913). 72.6% of patients scoring in the highest quartile were cognitively impaired by ten years vs. 3.7% in the lowest quartile (hazard ratio, 18.4, 95% CI, 9.4 – 36.1). Dementia or disabling cognitive impairment was predicted with an AUC of 0.877 (95% CI 0.788–0.943) and high negative predictive value (0.920, 95% 0.877–0.954) at the predefined cutoff (0.196). Performance was stable in 10,000 randomly resampled subsets. Interpretation Our predictive algorithm provides a potential test for future cognitive health or impairment in patients with Parkinson’s. It could improve trials of cognitive interventions and inform on prognosis
A Complicated Course of Brain Tumor Resection in a Patient with a Left Ventricular Assist Device
Left ventricular assist devices (LVAD) are mechanical pumps that have become a standard treatment for end-stage heart failure. As patients with LVAD are living longer, the number of noncardiac surgeries performed in these patients is rising. However, these patients present a unique set of risk factors, some of which include acquired coagulopathies, anticoagulation status, and hemodynamic instability. Thus, performing noncardiac surgeries in patients with an LVAD requires a precise and complex surgical strategy with optimal communication among the surgical team. Therefore, knowledge of best perioperative approaches for patients with LVAD is urgently needed. Here, we present a detailed perioperative surgical approach in the case of a brain tumor resection for a 62-year-old patient with an LVAD whose course was complicated with a brain hematoma. Critical details include key aspects of monitoring patient hemodynamic stability and handling of anesthesia, patient positioning, and antiplatelet and anticoagulation drug therapy. This case highlights the importance for anesthesiologists to be well informed about perioperative LVAD management, as well as common complications that they may encounter