Transcranial doppler in patients with ruptured brain aneurysms in cerebral hemodynamics evaluation and outcomes predicting
https://doi.org/10.24835/1607-0763-2019-2-127-136
Abstract
The purpose: to develop Doppler criteria in the evaluation of cerebral hemodynamics in predicting the outcome of the disease in patients with cerebral aneurysm rupture.
Materials and methods. 172 patients (76 male, 96 female) with cerebral aneurism rupture were participated in the research. All patients were continuously monitored by Doppler studies (a total of 803 studies) in the period from 1 to 20 days after the rupture of the arterial aneurysm. TCD was performed on the apparatus DWL MULTI-DOP T (Germany) with sensors 2 and 4 MHz. All patients were divided into 5 groups depending on the Glasgow outcome Scale (GOS) assessment. Group 1 (n = 87; 50.6%): with an excellent outcome of the disease (GOS 1); group 2 (n = 27; 15.7%): with an good outcome of the disease (GOS 2); group 3 (n = 8; 4.65%): with an acceptable outcome of the disease (GOS 3); group 4 (n = 6; 3.48%): with an acceptable outcome of the disease (GOS 4); group 5 (n = 8; 4.65%): with a lethal outcome of the disease (GOS 5) Systolic blood flow velocity (BFV), Lindegaard index and pulsatility index were estimated
Results. Doppler prognostic criterion of disease outcome were developed: early and progressive increase in blood flow velocity (development of spasm on the 1 day delay after hemorrhage); the development of critical spasm (blood flow velocity over 300 cm/s) by 7–8 days after subarachnoid hemorrhage, the rise of the blood flow velocity per day more than 36 cm/s; the duration of the spasm more than 16 days; increase in pulsatility index (more than 1.0) and Lindegaard index (more than 4.8), the presence of diffuse spasm.
Conclusion. The transcranial Doppler can be an additional screening non-invasive diagnostic method for cerebral hemodynamic evaluation and for determination complications in ruptured cerebral aneurysm.
About the Authors
L. T. KhamidovaRussian Federation
Laila T. Khamidova – cand. of med. sci., Head of the Department of Ultrasound and Functional Diagnostics
V. V. Krylov
Russian Federation
Vladimir V. Krylov – doct. of med. sci., Academic of the Russian Academy of Sciences, Director
for scientific work, associate professor of the Department of Anesthesiology, Reanimatology and Urgent Medicine
S. S. Petrikov
Russian Federation
Sergey S. Petrikov – Professor of the Russian Academy of Sciences, doct. of med. sci., Director
Professor of the Department of Neurosurgery and Neuroreanimation
N. V. Rybalko
Russian Federation
Natalia V. Rybalko – doct. of med. sci., leading researcher of the Department of Ultrasound and Functional Diagnostics
129090 Moscow, Bolshaya Sukharevskaya Square, 3. Phone: +7-915-297-33-43
References
1. Findlay J.M., Nisar J., Darsaut T. Cerebral vasospasm: a review. Can. J. Neurol. Sci. 2016; 43 (1): 15–32. http://doi.org/10.1017/cjn.2015.288.
2. Krylov V.V., Gusev S.A., Titova G.P. Vascular spasm in subarachnoid hemorrhage. Clinical Atlas. M.: Makcenter, 2000. 191 p. (In Russian)
3. Dausheva A.A., Belousova O.B. Miakota A.E. et al. Prediction of ischemic complications caused by cerebral arterial spasm after subarachnoid hemorrhages (clinicalDoppler comparison). Issues of neurosurgery. 1996; 2: 6–11. (In Russian)
4. Кrylov V.V., Prirodov A.V. Risk factors for surgical treatment of middle cerebral artery aneurysms in acute hemorrhage. Neurosurgery. 2011; 1: 31–41. (In Russian)
5. Krylov V.V., Gusev S.A., Gusev A.S. Vascular spasm after rupture of brain aneurysms. Neurosurgery. 2000; 3: 4–13. (In Russian)
6. Petricov S.S., Krylov V.V. Assessment of cerebral blood flow and neurophysiological monitoring. Neurosurgery. 2010; 1: 5–9. (In Russian)
7. Mastantuono J.-M., Combescure C., Elia N., Tramèr M., Lysakowski C. Transcranial Doppler in the Diagnosis of Cerebral Vasospasm. An Updated Meta-Analysis. Critical Care Med. 2018; 46 (10): 1665–1672. http://doi.org/10.1097/CCM.0000000000003297.
8. Viski S., Olah L. Use of Transcranial Doppler in Intensive Care Unit. J. Crit. Care Med. (Targu Mures). 2017; 19; 3 (3): 99–104.
9. Neulen A., Prokesch E., Stein M. Image-guided transcranial Doppler sonography for monitoring of vasospasm after subarachnoid hemorrhage. Clin. Neurol. Neurosurg. 2016; 145: 14–18. http://doi.org/10.1016/j.clineuro.2016.03.012.
10. McMahon C.J., McDermott P., Horsfall D. et al. The reproducibility of transcranial Doppler middle cerebral artery velocity measurements: implications for clinical practice. Br. J. Neurosurg. 2007; 21: 1: Р. 21–27. http://doi.org/10.1080/02688690701210539.
11. Sloan М.А., Wozniak M.A., Macro R.F. Transcranial Doppler and subarachnoid hemorrhage Transcranial Doppler Ultrasonography. Eds V.L. Babikian, L.R. Wechsler. 2 nd ed. Boston: Mass. Butterword-Heinemann, 1999: 109–127.
12. Grosset D.G., Straiton J., McDonald I., Cockburn M., Bullock R. Use of transcranial Doppler sonography to predict development of a delayed ischemic deficit after subarachnoid hemorrhage. J. Neurosurg. 1993; 78 (2): 183–187. http://doi.org/10.3171/jns.1993.78.2.0183.
13. Jarus-Dziedzic K., Juniewicz H., Wroñski J., Zub W.L., Kasper E., Gowacki M., Mierzwa J. The relation between cerebral blood flow velocities as measured by TCD and the incidence of delayed ischemic deficits. A prospective study after subarachnoid hemorrhage. Neurol. Res. 2002; 24 (6): 582–592. http://doi.org/10.1179/016164102101200393.
14. Kumar G., Shahripour R.B., Harrigan M.R. Vasospasm on transcranial Doppler is predictive of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. J. Neurosurg. 2016; 124 (5): 1257–1264. http://doi.org/10.3171/2015.4.JNS15428.
15. Krylov V.V., Prirodov A.V. Petricov S.S. Nontraumatic subarachnoid hemorrhage: diagnosis and treatment. Heart and vascular diseases. 2008; 1: 15–18. (In Russian)
Review
For citations:
Khamidova L.T., Krylov V.V., Petrikov S.S., Rybalko N.V. Transcranial doppler in patients with ruptured brain aneurysms in cerebral hemodynamics evaluation and outcomes predicting. Medical Visualization. 2019;(2):127-136. (In Russ.) https://doi.org/10.24835/1607-0763-2019-2-127-136