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1.
Br J Neurosurg ; 32(2): 165-171, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29338437

ABSTRACT

PURPOSE: Rupture of an intracranial aneurysm is a life-threatening acute cerebrovascular event. The purpose of this study was to investigate whether aneurysmal subarachnoid haemorrhage (SAH) incidence rate is higher or lower in elderly population than in middle aged population. MATERIALS AND METHODS: Aneurysmal SAH cases were collected retrospectively from the archives of 21 hospitals in Mainland China. All the cases were collected from September 2016 and backward consecutively for a period of time up to 8 years. SAH was initially diagnosed by brain computed tomography (CT). CT angiography (CTA) or digital subtraction angiography (DSA) was followed and SAH was confirmed to be due to cerebral aneurysm rupture. For cases when multiple bleeding occurred, the age of the first SAH was used in this study. The total incidence from all hospitals at each age group were summed together for females and males respectively; then adjusted by the total population number at each age group for females and males which was from the 2010 population census of the People's Republic of China. RESULTS: In total there were 8,144 cases of intracranial aneurysmal SAH, with 4,861 females and 3,283 males. For females the relative aneurysmal SAH incidence rate started to decrease after around 65 years old, while for males the relative aneurysmal SAH incidence rate started to decrease after around 53 years old. CONCLUSION: Our data tentatively suggest elderly patients may be at a reduced risk of rupture compared with patients who are younger while have similar other risk factors.


Subject(s)
Subarachnoid Hemorrhage/epidemiology , Adult , Age Factors , Aged , Aged, 80 and over , Aneurysm, Ruptured/diagnostic imaging , Aneurysm, Ruptured/epidemiology , Angiography, Digital Subtraction , China/epidemiology , Female , Humans , Incidence , Male , Middle Aged , Retrospective Studies , Risk Factors , Sex Factors , Subarachnoid Hemorrhage/diagnostic imaging , Tomography, X-Ray Computed
2.
Neurol India ; 61(5): 472-7, 2013.
Article in English | MEDLINE | ID: mdl-24262447

ABSTRACT

BACKGROUND: Cerebral hemorrhage (CH) could affect the cerebral function on specific cognitive abilities and lead to the cognitive decline or cognitive dysfunction. Electroencephalogram (EEG) is a relatively cheap and easy usable tool, which could reflect the cerebral function of the patients. MATERIALS AND METHODS: A total of 170 patients (patients with and without cognitive impairment) with CH and 120 normal healthy controls were recruited from September 2008 to June 2012 at the Department of Neurology. EEG studies were carried out to analyze the cerebral function in all the subjects. Correlation, clustering and concordance analysis were performed to analyze the relationship between EEG power and Montreal cognitive assessment (MoCA) scores. The effects of EEG analysis were assessed to diagnosis the cognitive impairment. RESULTS: The results were showed that patients with cognitive impairment had a significantly decreased EEG beta power (0.771 ± 0.149 µV 2 ) compared with the normal cognitive function (1.654 ± 0.186 µV 2 , P < 0.01) or normal healthy controls (1.703 ± 0.216 µV 2 , P < 0.01). Significantly positive correlation (r = 0.90174, P < 0.001) was discovered between relative beta power and hemorrhage type, while significantly negative correlations between the relative beta power and hemorrhage size and amount were also observed (r =-0.81235 and r =-0.90136, respectively, all P < 0.001). There was a better concordance between K-means clustering algorithm calculating of the relative beta power and MoCA scores (κ =0.913, P < 0.001). CONCLUSION: The cognitive impairment post hemorrhage was positively correlated to hemorrhage type and negatively correlated with hemorrhage size and amount. The analysis method of EEG beta power abnormality holds a promise to assess the cognitive impairment post CH.


Subject(s)
Basal Ganglia/physiopathology , Cerebral Hemorrhage/complications , Cognition Disorders/diagnosis , Cognition , Electroencephalography/methods , Thalamus/physiopathology , Aged , Aged, 80 and over , Algorithms , Cerebral Hemorrhage/physiopathology , Cognition Disorders/etiology , Cognition Disorders/physiopathology , Female , Humans , Male , Middle Aged , Neuropsychological Tests
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