2020
DOI: 10.1016/j.jstrokecerebrovasdis.2020.105340
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Blood Pressure Variability: A New Predicting Factor for Clinical Outcomes of Intracerebral Hemorrhage

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Cited by 30 publications
(31 citation statements)
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“… 15 BPV can be measured using various parameters such SD, CV, residual SD, successive variation (SV), mean absolute change (MAC), and average real variability (ARV). 16 , 32 …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“… 15 BPV can be measured using various parameters such SD, CV, residual SD, successive variation (SV), mean absolute change (MAC), and average real variability (ARV). 16 , 32 …”
Section: Discussionmentioning
confidence: 99%
“…Systematic chart reviews were performed to extract demographics including age, sex and race/ethnicity, clinical information such as symptoms, diagnosis, NIH Stroke Scale (NIHSS), laboratory data such as coagulation and inflammatory markers, neuroimaging findings, and outcomes. Amongst the various parameters, blood pressure variability (BPV) 15 , 16 and neutrophil to lymphocyte ratio (NLR) 17 were analyzed separately to determine if there was a correlation between them and ICH severity and outcome.…”
Section: Methodsmentioning
confidence: 99%
“…Recent evidence suggests that high blood pressure and blood pressure variability are important factors in predicting the prognosis of acute stroke. In particular, it is known that systolic blood pressure at admission and systolic blood pressure variability increase the risk of cerebral hemorrhage or symptomatic hemorrhagic transformation, and adversely affect mortality and functional outcome [ 30 , 31 , 32 ]. As a result of our study, in the comparison between the expired group and the surviving group, there was no difference in SBP at admission, but in the case of SBPV, there was a significant difference between the two groups.…”
Section: Discussionmentioning
confidence: 99%
“…Thirdly, recent emerging lines of evidence suggest that high blood pressure variations are important predictors of the prognosis of ICH. 28 , 29 However, our study did not take this factor into account. Finally, we had little background information, such as purine consumption, history of gout and exercise habit that would affect admission serum UA concentration.…”
Section: Discussionmentioning
confidence: 98%