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Paroxysmalnocturnalhemoglobinuria(PNH)isadefectdiseaseofacquiredclonal hematopoietic stem cel s. It can be expressed as hemolytic anemia, hemoglobinuria, and venous thrombosis. Cerebral venous sinus thrombosis (CVST) is a rare but serious complication of PNH. Here we report a PNH patient with CVST and reviewthe relevant literature. For patients who have the risk factors for CVST and neurological symptoms, such as headache and increased intracranial pressure, should early conduct brain imaging examination and make the diagnosis clear, and give an active treatment in the aspects of anticoagulation, dehydration, eliminating the causes of disease, and controling complications.
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Objective To investigate the predictive value of plasma copeptin level for the outcomes in patients with acute ischemic stroke. Methods Consecutive patients with acute ischemic stroke were enroled in the study. Enzyme-linked immunosorbent assay was used to detect the plasma copeptin level. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate baseline stroke severity. The outcome was evaluated at 90 days with the modified Rankin Scale (mRS), and the good outcome was defined as mRS 0 - 2. Results A total of 160 patients with acute ischemic stroke were enroled, 121 had good outcome and 39 had poor outcome. The age (71. 87 ± 6. 11 years vs. 66. 19 ± 9. 39 years; t =- 3. 540, P = 0. 001), serum levels of C-reactive protein (6. 84 ± 2. 80 mmol/L vs. 5. 84 ± 2. 89 mmol/L;t = - 2. 459, P = 0. 023) and copeptin (143. 12 ± 34. 02 pmol/L vs. 50. 78 ± 18. 62 pmol/L; t = 21. 564, P 104. 3 pmol/L was used as the cutoff value, the sensitivity and specificity for predicting the poor outcomes at day 90 after onset were 86. 8% and 40. 2% , respectively. Conclusions The plasma copeptin level may be a good predictor for neurological outcome at day 90 after onset in patients with acute ischemic stroke.
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Gene Expression Omnibus (GEO)can act as an international public resource platform storing and sharing experimental data generated from high-throughout research projects that utilize genome-wide expression strategies like microarray screening and analysis.Numerous data involving inflammatory carcinoma models is helpful for dissecting the regulatory network and molecular mechanism of oncogenesis,thus offering favorable clues for new thoughts in prevention and treatment of cancers.GEO originated from various disease models or processed experiments also provides researchers with powerful evidence for tracing functions of novel predictive genes.