医学
蛛网膜下腔出血
血压
心脏病学
内科学
荟萃分析
重症监护医学
作者
Subhas Konar,William A. Florez-Perdomo,Ezequiel García-Ballestas,Gabriel Alexander Quiñones-Ossa,Tariq Janjua,Luis Rafael Moscote‐Salazar,Rakesh Mishra,Amit Agrawal
出处
期刊:Journal of Neurosurgical Sciences
[Edizioni Minerva Medica]
日期:2021-10-14
卷期号:67 (1)
被引量:5
标识
DOI:10.23736/s0390-5616.21.05477-1
摘要
The subarachnoid hemorrhage due to a ruptured brain aneurysm is a neurological emergency with high mobility and mortality. Hypertensive states are related to a bad prognosis and a higher risk of a ruptured aneurysm. However, the relationship between the blood pressure variability with the aneurysmal subarachnoid hemorrhage and its prognosis is quite unknown.A systematic review was performed across the databases. The following descriptors and related were used for the search: blood pressure, arterial pressure, variability, subarachnoid hemorrhage, hemorrhage, aneurysmal, aneurysmal subarachnoid hemorrhage. The following data were extracted: Glasgow Outcome Scale or Modified Rankin Scale, and blood pressure variabilities to categorize the prognosis.Five studies were selected. The blood pressure variability and the related outcome were assessed by mean systolic blood pressure and minimum systolic blood. The meta-analysis of mean systolic blood pressure (cut-off >95.3 mmHg) showed an odds ratio of 11.23 (95% CI: 4.423 to 28.537) (P≤0.001), predicting the good outcome after the aneurysmal subarachnoid hemorrhage. The pooled analysis revealed AUC of the ROC predicting the good outcome was statistically significant (AUC: 0.85, P<0.001). The pooled data analysis of minimum systolic blood pressure revealed an odds ratio of 6.43 (95% CI: 2.834-14.589, P<0.001) and AUC of the pooled ROC 0.931 (95% CI: 0.851 to 1.000, P<0.001) to predict poor outcome. The funnel plot through Egger's test for the analysis showed different grades of asymmetry.The blood pressure variability (mean and minimum systolic blood pressure) is a good predictor and parameter in the aneurysmal subarachnoid hemorrhage prognosis and outcome prediction.
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