Introduction: Postoperative delirium can increase cognitive impairment and mortality in patients with Parkinson's disease. The purpose of this study was to develop and internally validate a clinical prediction model of delirium after deep brain stimulation of the subthalamic nucleus in Parkinson's disease under general anesthesia.
Methods: We conducted a retrospective observational cohort study on the data of 240 patients with Parkinson's disease who underwent deep brain stimulation of the subthalamic nucleus under general anesthesia.
Background: Insomnia may affect vascular factors and promote arteriosclerosis. Microparticles (MPs) are a heterogeneous group of bioactive small vesicles that can be found in blood and body fluids following activation, necrosis or apoptosis of virtually any eukaryotic cells. MPs are believed to participate in the pathogenesis of atherosclerosis.
View Article and Find Full Text PDFBackground: Large-nerve fiber dysfunction, as assessed by vibration perception threshold (VPT) predicts risks of ulceration, amputation, and mortality in diabetes. Serum uric acid (UA) is closely associated with various metabolic disorders, especially diabetes. Thus, we sought to investigate the clinical relevance of UA to large-nerve fiber dysfunction, among patients with type 2 diabetes (T2D).
View Article and Find Full Text PDFObjective: To Study T lymphocyte subsets, including T(H1) and T(H2) cells in peripheral blood mononuclear cells (PBMC) of children with mycoplasma pneumonia, understand immunopathogenesis and explore the possibility of immunotherapy of patients with mycoplasma pneumonia.
Methods: Fresh peripheral blood samples of patients from two groups, group 1, mycoplasma pneumonia (MP) group (35 cases, 15 males and 20 females, age range 3 - 13 years, mean 9 years), and control group consisted of 28 healthy children (14 males and 14 females, age range 3 - 12 years, mean 7 years) were treated and run through the flow cytometry. The data were obtained by using Simultest IMK-Lymphocyte software and the percentage of CD(3)(+), CD(3)(+)CD(4)(+), CD(3)(+)CD(8)(+), CD(3)(-)CD(19)(+) and CD(3)(-)CD(16 + 56)(+) cells were counted.