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Intracranial and Blood Pressure Variability and In-Hospital Outcomes in Intracranial Device-Monitored Patients with Spontaneous Intracerebral Hemorrhage

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Abstract

Background

Spontaneous intracerebral hemorrhage (sICH) is a major health concern and has high mortality rates up to 52%. Despite a decrease in its incidence, fatality rates remain unchanged; understanding and preventing of factors associated with mortality and treatments for these are needed. Blood pressure variability (BPV) has been shown to be a potential modifiable factor associated with clinical outcomes in patients with traumatic intracerebral hemorrhage and sICH. Few data are available on the effect of intracranial pressure (ICP) variability (ICPV) and outcomes in patients with sICH. The goal of our study was to investigate the association between ICPV and BPV during the first 24 h of intensive care unit (ICU) admission and external ventricular drain (EVD) placement, and mortality in patients with sICH who were monitored with an EVD.

Methods

We conducted a single-center retrospective study of adult patients admitted to an ICU with a diagnosis of sICH who required EVD placement during hospitalization. We excluded patients with ICH secondary to other pathological conditions such as trauma, underlying malignancy, or arteriovenous malformation. Blood pressure and ICP measurements were collected and recorded hourly during the first 24 h of ICU admission and EVD placement, respectively. Measures of variability used were standard deviation (SD) and successive variation (SV). Primary outcome of interest was in-hospital mortality, and secondary outcomes were hematoma expansion and discharge home (a surrogate for good functional outcome at discharge). Descriptive statistics and multivariable logistic regressions were performed.

Results

We identified 179 patients with sICH who required EVD placement. Of these, 52 (29%) patients died, 121 (68%) patients had hematoma expansion, and 12 (7%) patients were discharged home. Patient’s mean age (± SD) was 56 (± 14), and 87 (49%) were women. The mean opening ICP (± SD) was 21 (± 8) and median ICH score (interquartile range) was 2 (2–3). Multivariable logistic regression found an association between ICP-SV and ICP-SD and hematoma expansion (odds ratio 1.6 [1.03–2.30], p = 0.035 and odds ratio 0.77 [0.63–0.93] p = 0.009, respectively).

Conclusions

Our study found an association between ICPV and hematoma expansion in patients with sICH monitored with an EVD. Measures of ICPV relating to rapid changes in ICP (ICP-SV) were associated with a higher odds of hematoma expansion, whereas measures relating to tight control of ICP (ICP-SD) were associated with a lower odds of hematoma expansion. One measure of BPV, sytolic blood pressure maximum-minimum (SBP max-min), was found to be weakly associated with discharge home (a surrogate for good functional outcome at hospital discharge). More research is needed to support these findings.

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References

  1. Qureshi AI, Mendelow AD, Hanley DF. Intracerebral haemorrhage. Lancet Lond Engl. 2009;373(9675):1632–44. https://doi.org/10.1016/S0140-6736(09)60371-8.

    Article  Google Scholar 

  2. Testai FD, Aiyagari V. Acute hemorrhagic stroke pathophysiology and medical interventions: blood pressure control, management of anticoagulant-associated brain hemorrhage and general management principles. Neurol Clin. 2008;26(4):963–85. https://doi.org/10.1016/j.ncl.2008.06.001.

    Article  PubMed  Google Scholar 

  3. Zahuranec DB, Lisabeth LD, Sanchez BN, et al. Intracerebral hemorrhage mortality is not changing despite declining incidence. Neurology. 2014;82(24):2180–6. https://doi.org/10.1212/WNL.0000000000000519.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Broderick JP, Brott TG, Duldner JE, Tomsick T, Huster G. Volume of intracerebral haemorrhage. A powerful and easy-to-use predictor of 30-day mortality. Stroke. 1993;24(7):987–93. https://doi.org/10.1161/01.STR.24.7.987.

    Article  CAS  PubMed  Google Scholar 

  5. Davis SM, Broderick J, Hennerici M, et al. Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage. Neurology. 2006;66(8):1175–81. https://doi.org/10.1212/01.wnl.0000208408.98482.99.

    Article  CAS  PubMed  Google Scholar 

  6. Morotti A, Boulouis G, Charidimou A, et al. Hematoma expansion in intracerebral hemorrhage with unclear onset. Neurology. 2021;96(19):e2363–71. https://doi.org/10.1212/WNL.0000000000011895.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Greenberg SM, Ziai WC, Cordonnier C, et al. 2022 guideline for the management of patients with spontaneous intracerebral hemorrhage: a guideline from the American Heart Association/American Stroke Association. Stroke. 2022. https://doi.org/10.1161/STR.0000000000000407.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Chung PW, Kim JT, Sanossian N, et al. Association between hyperacute stage blood pressure variability and outcome in patients with spontaneous intracerebral hemorrhage. Stroke. 2018;49(2):348–54. https://doi.org/10.1161/STROKEAHA.117.017701.

    Article  PubMed  Google Scholar 

  9. Manning L, Hirakawa Y, Arima H, et al. Blood pressure variability and outcome after acute intracerebral haemorrhage: a post-hoc analysis of INTERACT2, a randomised controlled trial. Lancet Neurol. 2014;13(4):364–73. https://doi.org/10.1016/S1474-4422(14)70018-3.

    Article  PubMed  Google Scholar 

  10. Tanaka E, Koga M, Kobayashi J, et al. Blood pressure variability on antihypertensive therapy in acute intracerebral hemorrhage: the stroke acute management with urgent risk-factor assessment and improvement-intracerebral hemorrhage study. Stroke. 2014;45(8):2275–9. https://doi.org/10.1161/STROKEAHA.114.005420.

    Article  CAS  PubMed  Google Scholar 

  11. Gurshawn T, Jackson M, Barr J, et al. Transportation management affecting outcomes of patients with spontaneous intracranial hemorrhage. Air Med J. 2020;39(3):189–95. https://doi.org/10.1016/j.amj.2019.12.001.

    Article  PubMed  Google Scholar 

  12. Treggiari MM, Schutz N, Yanez ND, Romand JA. Role of intracranial pressure values and patterns in predicting outcome in traumatic brain injury: a systematic review. Neurocrit Care. 2007;6(2):104–12. https://doi.org/10.1007/s12028-007-0012-1.

    Article  PubMed  Google Scholar 

  13. Kalita J, Misra UK, Vajpeyee A, Phadke RV, Handique A, Salwani V. Brain herniations in patients with intracerebral hemorrhage. Acta Neurol Scand. 2009;119(4):254–60. https://doi.org/10.1111/j.1600-0404.2008.01095.x.

    Article  CAS  PubMed  Google Scholar 

  14. Svedung Wettervik T, Howells T, Enblad P, Lewén A. Intracranial pressure variability: relation to clinical outcome, intracranial pressure–volume index, cerebrovascular reactivity and blood pressure variability. J Clin Monit Comput. 2020;34(4):733–41. https://doi.org/10.1007/s10877-019-00387-9.

    Article  PubMed  Google Scholar 

  15. Svedung Wettervik T, Howells T, Hånell A, Ronne-Engström E, Lewén A, Enblad P. Low intracranial pressure variability is associated with delayed cerebral ischemia and unfavorable outcome in aneurysmal subarachnoid hemorrhage. J Clin Monit Comput. 2022;36(2):569–78. https://doi.org/10.1007/s10877-021-00688-y.

    Article  PubMed  Google Scholar 

  16. Kirkness CJ, Burr RL, Mitchell PH. Intracranial and blood pressure variability and long-term outcome after aneurysmal sub-arachnoid hemorrhage. Am J Crit Care. 2009;18(3):241–51. https://doi.org/10.4037/ajcc2009743.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tian Y, Wang Z, Jia Y, et al. Intracranial pressure variability predicts short-term outcome after intracerebral hemorrhage: a retrospective study. J Neurol Sci. 2013;330(1–2):38–44. https://doi.org/10.1016/j.jns.2013.04.001.

    Article  PubMed  Google Scholar 

  18. Tran C, Frederick H, Baqai H, et al. Traumatic brain injury and intraparenchymal hemorrhage progression: blood pressure variability matters. Am J Emerg Med. 2022;52:119–27. https://doi.org/10.1016/j.ajem.2021.12.005.

    Article  PubMed  Google Scholar 

  19. Tiffany L, Haase DJ, Boswell K, et al. Care intensity of spontaneous intracranial hemorrhage: effectiveness of the critical care resuscitation unit. Am J Emerg Med. 2021;46:437–44. https://doi.org/10.1016/j.ajem.2020.10.044.

    Article  PubMed  Google Scholar 

  20. Ajam K, Gold LS, Beck SS, Damon S, Phelps R, Rea TD. Reliability of the cerebral performance category to classify neurological status among survivors of ventricular fibrillation arrest: a cohort study. Scand J Trauma Resusc Emerg Med. 2011;19(1):38. https://doi.org/10.1186/1757-7241-19-38.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Grossestreuer AV, Abella BS, Sheak KR, et al. Inter-rater reliability of post-arrest cerebral performance category (CPC) scores. Resuscitation. 2016;109:21–4. https://doi.org/10.1016/j.resuscitation.2016.09.006.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Quinn TJ, Dawson J, Walters MR, Lees KR. Exploring the reliability of the modified Rankin Scale. Stroke. 2009;40(3):762–6. https://doi.org/10.1161/STROKEAHA.108.522516.

    Article  PubMed  Google Scholar 

  23. Tuteja G, Uppal A, Strong J, et al. Interventions affecting blood pressure variability and outcomes after intubating patients with spontaneous intracranial hemorrhage. Am J Emerg Med. 2019;37(9):1665–71. https://doi.org/10.1016/j.ajem.2018.11.041.

    Article  PubMed  Google Scholar 

  24. Dodd WS, Laurent D, Dumont AS, et al. Pathophysiology of delayed cerebral ischemia after subarachnoid hemorrhage: a review. J Am Heart Assoc. 2021;10(15):e021845. https://doi.org/10.1161/JAHA.121.021845.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Connolly ES, Rabinstein AA, Carhuapoma JR, et al. Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2012;43(6):1711–37. https://doi.org/10.1161/STR.0b013e3182587839.

    Article  PubMed  Google Scholar 

  26. Tran Q, Najafali D, et al. Effect of blood pressure variability on outcomes in emergency patients with intracranial hemorrhage. West J Emerg Med. 2021. https://doi.org/10.5811/westjem.2020.9.48072.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Manning LS, Mistri AK, Potter J, Rothwell PM, Robinson TG. Short-term blood pressure variability in acute stroke: post hoc analysis of the controlling hypertension and hypotension immediately post stroke and continue or stop post-stroke antihypertensives collaborative study trials. Stroke. 2015;46(6):1518–24. https://doi.org/10.1161/STROKEAHA.115.009078.

    Article  CAS  PubMed  Google Scholar 

  28. Bzhilyanskaya V, Najafali D, Torre OM, et al. Emergency department and transport predictors of neurological deterioration in patients with spontaneous intracranial hemorrhage. Am J Emerg Med. 2022;53:154–60. https://doi.org/10.1016/j.ajem.2022.01.002.

    Article  PubMed  Google Scholar 

  29. Li Q, Warren AD, Qureshi AI, et al. Ultra-early blood pressure reduction attenuates hematoma growth and improves outcome in intracerebral hemorrhage. Ann Neurol. 2020;88(2):388–95. https://doi.org/10.1002/ana.25793.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Wang X, Arima H, Heeley E, et al. Magnitude of blood pressure reduction and clinical outcomes in acute intracerebral hemorrhage: intensive blood pressure reduction in acute cerebral hemorrhage trial study. Hypertension. 2015;65(5):1026–32. https://doi.org/10.1161/HYPERTENSIONAHA.114.05044.

    Article  CAS  PubMed  Google Scholar 

  31. Saulle M, Schambra H. Recovery and rehabilitation after intracerebral hemorrhage. Semin Neurol. 2016;36(03):306–12. https://doi.org/10.1055/s-0036-1581995.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kitago T, Ratan RR. Rehabilitation following hemorrhagic stroke: building the case for stroke-subtype specific recovery therapies. F1000Research. 2017;6:2044. https://doi.org/10.12688/f1000research.11913.1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

Authors

Contributions

SC: Conceptualization, data curation, formal analysis, investigation, project administration, visualization, writing—original draft, writing–review and editing. HB: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. FM: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. AA: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. JS: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. HF: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. NS: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. JO: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. JAS: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. AS: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. MBP: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. QKT: Conceptualization, data curation, formal analysis, investigation, visualization, writing—original draft, writing—review and editing. The authors approve of the final manuscript.

Corresponding author

Correspondence to Stephanie Cardona.

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This study was exempted by the institutional review board number HP-00094744.

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Appendix 1

Appendix 1

See Table 4.

Table 4 Continuous and categorical variables used in multivariable logistic regression

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Cardona, S., Baqai, H., Mikdashi, F. et al. Intracranial and Blood Pressure Variability and In-Hospital Outcomes in Intracranial Device-Monitored Patients with Spontaneous Intracerebral Hemorrhage. Neurocrit Care 39, 357–367 (2023). https://doi.org/10.1007/s12028-023-01677-6

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