Cerebrovascular pressure reactivity monitoring using wavelet analysis in traumatic brain injury patients: A retrospective study
Using continuous monitoring data in traumatic brain inury patients, Xiuyun Liu and colleagues compare the performance of cerebrovascular pressure reactivity monitoring using wavelet analysis to the pressure reactivity index.
Vyšlo v časopise:
Cerebrovascular pressure reactivity monitoring using wavelet analysis in traumatic brain injury patients: A retrospective study. PLoS Med 14(7): e32767. doi:10.1371/journal.pmed.1002348
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pmed.1002348
Souhrn
Using continuous monitoring data in traumatic brain inury patients, Xiuyun Liu and colleagues compare the performance of cerebrovascular pressure reactivity monitoring using wavelet analysis to the pressure reactivity index.
Zdroje
1. Thurman DJ, Alverson C, Dunn K a, Guerrero J, Sniezek JE. Traumatic brain injury in the United States: A public health perspective. J Head Trauma Rehabil. 1999;14: 602–15. doi: 10.1097/00001199-199912000-00009 10671706
2. JF K. Epidemiology of head injury. In: Cooper PR, ed. Head injury. 3rd ed. Baltimore: Williams & Wilkins; 1993.
3. Donnelly J, Budohoski KP, Smielewski P, Czosnyka M. Regulation of the cerebral circulation: bedside assessment and clinical implications. Crit Care. 2016;20: 129. doi: 10.1186/s13054-016-1293-6 27145751
4. Lassen N. Cerebral blood flow and oxygen consumption in man. Physiol Rev. 1959;39: 183–238. 13645234
5. Le Roux P, Menon DK, Citerio G, Vespa P, Bader MK, Brophy GM, et al. Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: A statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive. Intensive Care Med. 2014; 1189–1209.
6. Panerai RB, Hudson V, Fan L, Mahony P, Yeoman PM, Hope T, et al. Assessment of dynamic cerebral autoregulation based on spontaneous fluctuations in arterial blood pressure and intracranial pressure. Physiol Meas. 2002;23: 59–72. 11876242
7. Soul JS, Hammer PE, Tsuji M, Saul JP, Bassan H, Limperopoulos C, et al. Fluctuating pressure-passivity is common in the cerebral circulation of sick premature infants. Pediatr Res. 2007;61: 467–473. doi: 10.1203/pdr.0b013e31803237f6 17515873
8. Tiecks FP, Lam AM, Aaslid R, Newell DW. Comparison of Static and Dynamic Cerebral Autoregulation Measurements. Stroke. 1995;26: 1014–1019. doi: 10.1161/01.STR.26.6.1014 7762016
9. Donnelly J, Aries MJ, Czosnyka M. Further understanding of cerebral autoregulation at the bedside: possible implications for future therapy. Expert Rev Neurother. 2015; 169–185. doi: 10.1586/14737175.2015.996552 25614952
10. Czosnyka M, Smielewski P, Kirkpatrick P, Laing RJ, Menon D, Pickard JD. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41: 11–17–19.
11. Timofeev I, Czosnyka M, Nortje J, Smielewski P, Kirkpatrick P, Gupta A, et al. Effect of decompressive craniectomy on intracranial pressure and cerebrospinal compensation following traumatic brain injury. J Neurosurg. 2008;108: 66–73. doi: 10.3171/JNS/2008/108/01/0066 18173312
12. Lavinio A, Timofeev I, Nortje J, Outtrim J, Smielewski P, Gupta A, et al. Cerebrovascular reactivity during hypothermia and rewarming. Br J Anaesth. 2007;99: 237–244. doi: 10.1093/bja/aem118 17510046
13. Steiner LA, Czosnyka M, Piechnik SK, Smielewski P, Chatfield D, Menon DK, et al. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30: 733–738. doi: 10.1097/00003246-200204000-00002 11940737
14. Aries MJH, Czosnyka M, Budohoski KP, Steiner L a., Lavinio A, Kolias AG, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40: 2456–2463. doi: 10.1097/CCM.0b013e3182514eb6 22622398
15. Depreitere B, Güiza F, Van den Berghe G, Schuhmann MU, Maier G, Piper I, et al. Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg. 2014;120: 1451–7. doi: 10.3171/2014.3.JNS131500 24745709
16. Tian Fenghua, TarumiLiu Takashi, Liu Hanli Zhang R C L. Wavelet coherence analysis of dynamic cerebral autoregulation in neonatal hypoxic—ischemic encephalopathy. NeuroImage Clin. 2016; doi: 10.1016/j.nicl.2016.01.020 26937380
17. Addison P. The Illustrated Wavelet Transform Handbook [Internet]. Biomedical Instrumentation & Technology. 2002. doi: 10.1201/9781420033397
18. PS A. Identifying stable phase coupling associated with cerebral autoregulation using the synchrosqueezed cross-wavelet transform and low oscillation morlet wavelets. Conf Proc IEEE Eng Med Biol Soc. 2015;8: 5960–3.
19. Grinsted a., Moore JC, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys. 2004;11: 561–566. doi: 10.5194/npg-11-561-2004
20. Menon DK. Cerebral protection in severe brain injury: physiological determinants of outcome and their optimisation. Br Med Bull. 1999;55: 226–258. doi: 10.1258/0007142991902231 10695089
21. Czosnyka M, Smielewski P, Kirkpatrick P, Laing RJ, Menon D, Pickard JD. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41: 11–19. doi: 10.1097/00006123-199707000-00005 9218290
22. Keissar K, Davrath LR, Akselrod S. Coherence analysis between respiration and heart rate variability using continuous wavelet transform. Philos Trans A Math Phys Eng Sci. 2009;367: 1393–1406. doi: 10.1098/rsta.2008.0273 19324715
23. Keissar K, Davrath LR, Akselrod S. Coherence analysis between respiration and heart rate variability using continuous wavelet transform. Philos Trans A Math Phys Eng Sci. 2009;367: 1393–406. doi: 10.1098/rsta.2008.0273 19324715
24. Addison PS. The discrete wavelet transform. The Illustrated Wavelet Transform Handbook: Applications in Science, Engineering, Medicine and Finance. 2002. p. 353.
25. Torrence C, Compo GP. A Practical Guide to Wavelet Analysis. Bull Am Meteorol Soc. 1998;79: 61–78. doi: 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
26. Keissar K, Davrath LR, Akselrod S. Coherence analysis between respiration and heart rate variability using continuous wavelet transform. Philos Trans A Math Phys Eng Sci. 2009;367: 1393–1406. doi: 10.1098/rsta.2008.0273 19324715
27. JENNETT B. ASSESSMENT OF OUTCOME AFTER SEVERE BRAIN DAMAGE A Practical Scale [Internet]. The Lancet. 1975. pp. 480–484. doi: 10.1016/S0140-6736(75)92830-5
28. Obuchowski N a. Receiver operating characteristic curves and their use in radiology. Radiology. 2003;229: 3–8. doi: 10.1148/radiol.2291010898 14519861
29. Robin AX, Turck N, Hainard A, Lisacek F, Sanchez J, Müller M, et al. Package “pROC.” 2012-09-10 09:34:56. 2013; 1–71. 10.1186/1471-2105-12-77
30. Kvandal P, Sheppard L, Landsverk S a, Stefanovska A, Kirkeboen K a. Impaired cerebrovascular reactivity after acute traumatic brain injury can be detected by wavelet phase coherence analysis of the intracranial and arterial blood pressure signals. J Clin Monit Comput. 2013;27: 375–83. doi: 10.1007/s10877-013-9484-z 23748602
31. Toledo E, Gurevitz O, Hod H, Eldar M, Akselrod S. Wavelet analysis of instantaneous heart rate: a study of autonomic control during thrombolysis. Am J Physiol Regul Integr Comp Physiol. 2003;284: R1079–91. doi: 10.1152/ajpregu.00287.2002 12456384
32. Yam AT, Lang EW, Lagopoulos J, Yip K, Griffith J, Mudaliar Y, et al. Cerebral autoregulation and ageing. J Clin Neurosci. 2005;12: 643–646. doi: 10.1016/j.jocn.2004.08.017 16098757
33. Carey BJ, Panerai RB, Potter JF. Effect of aging on dynamic cerebral autoregulation during head-up tilt. Stroke. 2003;34: 1871–1875. doi: 10.1161/01.STR.0000081981.99908.F3 12855831
34. Depreitere B, Güiza F, Van den Berghe G, Schuhmann MU, Maier G, Piper I, et al. Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg. 2014;120: 1451–7. doi: 10.3171/2014.3.JNS131500 24745709
35. Kannel WB, Gordan T. Evaluation of cardiovascular risk in the elderly: the Framingham Study. Bull N Y Acad Med. 1978;54: 573–591. 274986
36. Fleg JL. Alterations in cardiovascular structure and function with advancing age. Am J Cardiol. 1986;57: 33C–34C. doi: 10.1016/0002-9149(86)91025-8 3004186
37. Gribbin B, Pickering TG, Sleight P, Peto R. Effect of Age and High Blood Pressure on Barorefiex Sensitivity in Man. Circ Res. 1971;29: 424–431. doi: 10.1161/01.RES.29.4.424 5110922
38. Wagner M, Jurcoane A, Volz S, Magerkurth J, Zanella FE, Neumann-Haefelin T, et al. Age-related changes of cerebral autoregulation: New insights with quantitative T2-mapping and pulsed arterial spin-labeling MR. AJNR Am J Neuroradiol. 2012;33: 2081–2087. doi: 10.3174/ajnr.A3138 22700750
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