Characteristics of aneurysmal subarachnoid hemorrhage associated with rheumatic disease
Autor: | Takeo Anda, Tsuyoshi Izumo, Makio Kaminogo, Nobutaka Horie, Yoichi Morofuji, Susumu Yamaguchi, Kazuhiko Suyama, Shuntaro Sato, Nagasaki Sah Registry Study, Takayuki Matsuo |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Subarachnoid hemorrhage business.industry Incidence (epidemiology) General Medicine Odds ratio medicine.disease Logistic regression Confidence interval nervous system diseases 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Aneurysm Internal medicine medicine Surgery cardiovascular diseases Neurology (clinical) Neurosurgery Family history business 030217 neurology & neurosurgery |
Zdroj: | Neurosurgical Review. 44:2611-2618 |
ISSN: | 1437-2320 0344-5607 |
DOI: | 10.1007/s10143-020-01435-8 |
Popis: | Spontaneous subarachnoid hemorrhage (SAH) occurs due to intracranial aneurysm rupture in most cases. Rheumatic disease may cause vessel wall inflammation, which can increase the risk of rupture. However, the characteristics of SAH with rheumatic disease are unknown. This study aimed to evaluate SAH features in patients with rheumatic disease. We retrospectively analyzed clinical data of 5066 patients from the Nagasaki SAH Registry Study who had been diagnosed with aneurysmal SAH between 2001 and 2018. We evaluated the SAH characteristics in patients with rheumatic disease using multivariable logistic regression analysis. In total, 102 patients (2.0%, 11 men and 91 women, median age 69.0 [57.0–75.5]) had rheumatic disease. In these patients, univariate logistic regression analysis showed that sex, hypertension, family history of SAH, smoking history, World Federation of Neurosurgical Societies grade on admission, aneurysm size, multiple aneurysms, treatment, and symptomatic spasms were associated with SAH. Multivariable logistic regression analysis showed that characteristics independently associated with SAH in rheumatic disease were female sex (odds ratio [OR] 3.38; 95% confidence interval [CI] 1.81–6.93, P |
Databáze: | OpenAIRE |
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