6 research outputs found
Potential risk factors for DCI.
Results from the logistic regression analysis expressed in odds ratio for the occurrence of DCI.</p
Total occurrence and type of intervention for vasospasm.
Total occurrence and type of intervention for vasospasm.</p
Baseline characteristics of the entire cohort consisting of 104 patients.
Baseline characteristics of the entire cohort consisting of 104 patients.</p
S1 Dataset -
BackgroundOne of the longest-standing treatments to prevent delayed cerebral infarction (DCI) in patients with aneurysmal subarachnoid hemorrhage (aSAH) remains raising the blood pressure to a certain level of mean arterial pressure. This may require high doses of norepinephrine, which has been associated with severe end organ damage. With this study, we aimed to investigate the effects of norepinephrine on the incidence of DCI in a clinical setting.MethodsWe conducted a retrospective evaluation of patients with aSAH admitted to our institution between November 2018 and March 2021. Potential risk factors for DCI were analyzed and significant predictors were assessed by means of a logistic regression analysis to account for potential confounders.ResultsIn this study, 104 patients were included. Hereof, 39 (38%) showed radiologic signs of DCI between day three and 14 post-intervention. These patients had more frequent vasospasms (n = 37 vs. 30, p = 0.022), a higher Hunt & Hess score (3 ± 2 vs. 2 ± 1, p = 0.004), a lower initial Glasgow Coma Scale score (9 ± 5 vs. 12 ± 4, p = 0.003) and received a higher median norepinephrine dose (20,356μg vs. 6,508μg, p ConclusionOur results indicate a significant association between higher dose norepinephrine administration and the occurrence of DCI. Future research including greater sample sizes and a prospective setting will be necessary to further investigate the relationship.</div
Potential risk factors for DCI.
Relationships between categorical variables. Mann-Whitney-U was used for the comparison of DI and continuous variables.</p
Potential risk factors for poor outcome.
Results from the univariate anaylsis expressed with a p-value as well as results from the subsequent logistic regression analysis expressed in odds ratio and p-value.</p