Predictors of hydrocephalus as a complication of non-traumatic subarachnoid hemorrhage: a retrospective observational cohort study in 107 patients
Autor: | Thomas Schmidt, Sanchez-Rodriguez Jose Juan, Fatima Azucena Medina Govea, Christian Heinen, Thomas Kretschmer, Juan Manuel Vinas Rios, Martín Sánchez-Aguilar |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
medicine.medical_specialty
Subarachnoid hemorrhage Traumatic brain injury lcsh:Surgery 03 medical and health sciences 0302 clinical medicine Aneurysm medicine Orthopedics and Sports Medicine cardiovascular diseases business.industry Intraventricular hemorraghe Research Retrospective cohort study Subarachnoid hemorraghe lcsh:RD1-811 medicine.disease Surgery Hydrocephalus Shunt (medical) nervous system diseases Anesthesiology and Pain Medicine 030220 oncology & carcinogenesis Vasospasmus business Complication Shunt dependency 030217 neurology & neurosurgery Cohort study |
Zdroj: | Patient Safety in Surgery, Vol 12, Iss 1, Pp 1-8 (2018) Patient Safety in Surgery |
ISSN: | 1754-9493 |
Popis: | Background The predictors of shunt dependency such as amount of subarachnoid blood, acute hydrocephalus (HC), mode of aneurysm repair, clinical grade at admission and cerebro spinal fluid (CSF) drainage in excess of 1500 ml during the 1st week after the subarachnoid hemorrhage (SAH) have been identified as predictors of shunt dependency. Therefore our main objective is to identify predictors of CSF shunt dependency following non-traumatic subarachnoid hemorrhage. Methods We performed a retrospective study including patients from January 1st 2012 to September 30th 2014 between 16 and 89 years old and had a non-traumatic subarachnoid hemorrhage in cranial computed tomography (CCT). We excluded patients with the following characteristics: Patients who died 3 days after admittance, lesions in brainstem, previous surgical treatment in another clinic, traumatic brain injury, pregnancy and disability prior to SAH. We performed a descriptive and comparative analysis as well as a logistic regression with the variables that showed a significant difference (p |
Databáze: | OpenAIRE |
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