• Chiara Robba, Susanna Bacigaluppi, Nicola Luigi Bragazzi, Federico Bilotta, Mypinder S Sekhon, Rita Bertuetti, Ari Ercole, Alessandro Bertuccio, Marek Czosnyka, and Basil Matta.
• Neurosciences Critical Care Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom. Electronic address: kiarobba@gmail.com.
• World Neurosurg. 2016 Apr 1; 88: 383-398.

BackgroundAneurysmal subarachnoid hemorrhage (aSAH) during pregnancy represents an important cause of maternal and fetal morbidity and mortality. Approaches to diagnostics and treatment are still controversial, and there are only a limited number of cases described in the literature. Our study examines the management of aSAH in pregnant patients, creating a case series by combining patients from our hospital records with those from the limited available literature.MethodsData collected from Addenbrooke's Hospital records and cases published between January 1995 and January 2015 were studied. Chi-square test, exact Fisher's test, and chi-square test for trend were used for analyzing categorical data, while the t-test and Mann-Whitney-Wilcoxon test were used for continuous data.ResultsFifty-two patients were included. The mean age was 31.47 ± 5.80, and most patients were in their third trimester. A univariate pooled data analysis suggested that the maternal outcome may depend on the mother's age, mother's Hunt and Hess scale score, Glasgow Coma Scale at arrival, treatment modality for the aneurysm, mode, and timing of delivery. However, at the multivariate analysis only the presence of general complications resulted in a significant impact on maternal outcome.ConclusionsRuptured aneurysms in pregnant patients with aSAH may be safely secured in a timely manner. The diagnostic and treatment strategy for each of these patients should consider peculiar maternal and obstetric factors and requires a multidisciplinary assessment involving obstetrics, neurosurgeons, and intensivists. Considering the observed statistical power of our series, our findings should be taken with caution and should be supported by further systematic data collection.Copyright © 2016 Elsevier Inc. All rights reserved.

27 keywords...

hide…