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Published in: Journal of Clinical Monitoring and Computing 6/2016

01-12-2016 | Brief Communication

Trending autoregulatory indices during treatment for traumatic brain injury

Authors: Nam Kim, Alex Krasner, Colin Kosinski, Michael Wininger, Maria Qadri, Zachary Kappus, Shabbar Danish, William Craelius

Published in: Journal of Clinical Monitoring and Computing | Issue 6/2016

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Abstract

Our goal is to use automatic data monitoring for reliable prediction of episodes of intracranial hypertension in patients with traumatic brain injury. Here we test the validity of our method on retrospective patient data. We developed the Continuous Hemodynamic Autoregulatory Monitor (CHARM), that siphons and stores signals from existing monitors in the surgical intensive care unit (SICU), efficiently compresses them, and standardizes the search for statistical relationships between any proposed index and adverse events. CHARM uses an automated event detector to reliably locate episodes of elevated intracranial pressure (ICP), while eliminating artifacts within retrospective patient data. A graphical user interface allowed data scanning, selection of criteria for events, and calculating indices. The pressure reactivity index (PRx), defined as the least square linear regression slope of intracranial pressure versus arterial BP, was calculated for a single case that spanned 259 h. CHARM collected continuous records of ABP, ICP, ECG, SpO2, and ventilation from 29 patients with TBI over an 18-month period. Analysis of a single patient showed that PRx data distribution in the single hours immediately prior to all 16 intracranial hypertensive events, significantly differed from that in the 243 h that did not precede such events (p < 0.0001). The PRx index, however, lacked sufficient resolution as a real-time predictor of IH in this patient. CHARM streamlines the search for reliable predictors of intracranial hypertension. We report statistical evidence supporting the predictive potential of the pressure reactivity index.
Literature
1.
go back to reference Feigin V, Kurtzke JF, Korczyn A, Beghi E, Brown A, Hennerici MG, Dubois B, Rothwell PM, Evers S, Preux PM, Pareja FB, Lavados PM, Nagata K, Logroscino G, Kesselring J, Bennett D, Barker-Collo S, Stegmayr B, Chazot P, Li S, Brainin M, Wang W. Bridging the gap between experimental and nonexperimental neuroepidemiology, and ultimately—between neuroepidemiological research and practice: Round Table Discussion at the First International Congress on Clinical Neurology and Epidemiology. Neuroepidemiology. 2009;33(4):296–304. doi:10.1159/000252942.CrossRefPubMed Feigin V, Kurtzke JF, Korczyn A, Beghi E, Brown A, Hennerici MG, Dubois B, Rothwell PM, Evers S, Preux PM, Pareja FB, Lavados PM, Nagata K, Logroscino G, Kesselring J, Bennett D, Barker-Collo S, Stegmayr B, Chazot P, Li S, Brainin M, Wang W. Bridging the gap between experimental and nonexperimental neuroepidemiology, and ultimately—between neuroepidemiological research and practice: Round Table Discussion at the First International Congress on Clinical Neurology and Epidemiology. Neuroepidemiology. 2009;33(4):296–304. doi:10.​1159/​000252942.CrossRefPubMed
3.
go back to reference Kochanek PM, Carney N, Adelson PD, Ashwal S, Bell MJ, Bratton S, Carson S, Chesnut RM, Ghajar J, Goldstein B, Grant GA, Kissoon N, Peterson K, Selden NR, Tong KA, Tasker RC, Vavilala MS, Wainwright MS, Warden CR. Guidelines for the acute medical management of severe traumatic brain injury in infants, children, and adolescents-second edition introduction. Pediatr Crit Care Med. 2012;13(1):S3–6. doi:10.1097/PCC.0b013e31823f437e.CrossRef Kochanek PM, Carney N, Adelson PD, Ashwal S, Bell MJ, Bratton S, Carson S, Chesnut RM, Ghajar J, Goldstein B, Grant GA, Kissoon N, Peterson K, Selden NR, Tong KA, Tasker RC, Vavilala MS, Wainwright MS, Warden CR. Guidelines for the acute medical management of severe traumatic brain injury in infants, children, and adolescents-second edition introduction. Pediatr Crit Care Med. 2012;13(1):S3–6. doi:10.​1097/​PCC.​0b013e31823f437e​.CrossRef
5.
go back to reference Kirkman MA, Smith M. Intracranial pressure monitoring, cerebral perfusion pressure estimation, and ICP/CPP-guided therapy: a standard of care or optional extra after brain injury? Br J Anaesth. 2014;112(1):35–46. doi:10.1093/bja/aet418.CrossRefPubMed Kirkman MA, Smith M. Intracranial pressure monitoring, cerebral perfusion pressure estimation, and ICP/CPP-guided therapy: a standard of care or optional extra after brain injury? Br J Anaesth. 2014;112(1):35–46. doi:10.​1093/​bja/​aet418.CrossRefPubMed
6.
go back to reference Bullock MR, Povlishock JT (eds) Guidelines for the management of severe traumatic brain injury. J Neurotrauma. 2007;24(Suppl 1). Bullock MR, Povlishock JT (eds) Guidelines for the management of severe traumatic brain injury. J Neurotrauma. 2007;24(Suppl 1).
7.
go back to reference Dias C, Silva MJ, Pereira E, Silva S, Cerejo A, Smielewski P, Rocha AP, Gaio AR, Paiva J-A, Czosnyka M. Post-traumatic multimodal brain monitoring: response to hypertonic saline. J Neurotrauma. 2014;31(22):1872–80. doi:10.1089/neu.2014.3376.CrossRefPubMed Dias C, Silva MJ, Pereira E, Silva S, Cerejo A, Smielewski P, Rocha AP, Gaio AR, Paiva J-A, Czosnyka M. Post-traumatic multimodal brain monitoring: response to hypertonic saline. J Neurotrauma. 2014;31(22):1872–80. doi:10.​1089/​neu.​2014.​3376.CrossRefPubMed
9.
go back to reference Le Roux P, Menon DK, Citerio G, Vespa P, Bader MK, Brophy GM, Diringer MN, Stocchetti N, Videtta W, Armonda R, Badjatia N, Boeesel J, Chesnut R, Chou S, Claassen J, Czosnyka M, De Georgia M, Figaji A, Fugate J, Helbok R, Horowitz D, Hutchinson P, Kumar M, McNett M, Miller C, Naidech A, Oddo M, Olson D, O’Phelan K, Provencio JJ, Puppo C, Riker R, Robertson C, Schmidt M, Taccone F. Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care. Intensive Care Med. 2014;40(9):1189–209. doi:10.1007/s00134-014-3369-6.CrossRefPubMed Le Roux P, Menon DK, Citerio G, Vespa P, Bader MK, Brophy GM, Diringer MN, Stocchetti N, Videtta W, Armonda R, Badjatia N, Boeesel J, Chesnut R, Chou S, Claassen J, Czosnyka M, De Georgia M, Figaji A, Fugate J, Helbok R, Horowitz D, Hutchinson P, Kumar M, McNett M, Miller C, Naidech A, Oddo M, Olson D, O’Phelan K, Provencio JJ, Puppo C, Riker R, Robertson C, Schmidt M, Taccone F. Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care. Intensive Care Med. 2014;40(9):1189–209. doi:10.​1007/​s00134-014-3369-6.CrossRefPubMed
10.
go back to reference Sanchez-Porras R, Santos E, Czosnyka M, Zheng Z, Unterberg AW, Sakowitz OW. ‘Long’ pressure reactivity index (L-PRx) as a measure of autoregulation correlates with outcome in traumatic brain injury patients. Acta Neurochir (Wien). 2012;154(9):1575–81. doi:10.1007/s00701-012-1423-0.CrossRef Sanchez-Porras R, Santos E, Czosnyka M, Zheng Z, Unterberg AW, Sakowitz OW. ‘Long’ pressure reactivity index (L-PRx) as a measure of autoregulation correlates with outcome in traumatic brain injury patients. Acta Neurochir (Wien). 2012;154(9):1575–81. doi:10.​1007/​s00701-012-1423-0.CrossRef
11.
go back to reference Marmarelis V, Shin D, Zhang R. Linear and nonlinear modeling of cerebral flow autoregulation using principal dynamic modes. Open Biomed Eng J. 2012;6:42–55.CrossRefPubMedPubMedCentral Marmarelis V, Shin D, Zhang R. Linear and nonlinear modeling of cerebral flow autoregulation using principal dynamic modes. Open Biomed Eng J. 2012;6:42–55.CrossRefPubMedPubMedCentral
12.
go back to reference Budohoski KP, Reinhard M, Aries MJH, Czosnyka Z, Smielewski P, Pickard JD, Kirkpatrick PJ, Czosnyka M. Monitoring cerebral autoregulation after head injury. Which component of transcranial Doppler flow velocity is optimal? Neurocrit Care. 2012;17(2):211–8.CrossRefPubMed Budohoski KP, Reinhard M, Aries MJH, Czosnyka Z, Smielewski P, Pickard JD, Kirkpatrick PJ, Czosnyka M. Monitoring cerebral autoregulation after head injury. Which component of transcranial Doppler flow velocity is optimal? Neurocrit Care. 2012;17(2):211–8.CrossRefPubMed
13.
go back to reference Johnson U, Nilsson P, Ronne-Engstrom E, Howells T, Enblad P. Favorable outcome in traumatic brain injury patients with impaired cerebral pressure autoregulation when treated at low cerebral perfusion pressure levels. Neurosurgery. 2011;68(3):714–21. doi:10.1227/NEU.0b013e3182077313.CrossRefPubMed Johnson U, Nilsson P, Ronne-Engstrom E, Howells T, Enblad P. Favorable outcome in traumatic brain injury patients with impaired cerebral pressure autoregulation when treated at low cerebral perfusion pressure levels. Neurosurgery. 2011;68(3):714–21. doi:10.​1227/​NEU.​0b013e3182077313​.CrossRefPubMed
14.
go back to reference Zweifel C, Castellani G, Czosnyka M, Carrera E, Brady KM, Kirkpatrick PJ, Pickard JD, Smielewski P. Continuous assessment of cerebral autoregulation with near-infrared spectroscopy in adults after subarachnoid hemorrhage. Stroke. 2010;41(9):1963–8. doi:10.1161/strokeaha.109.577320.CrossRefPubMed Zweifel C, Castellani G, Czosnyka M, Carrera E, Brady KM, Kirkpatrick PJ, Pickard JD, Smielewski P. Continuous assessment of cerebral autoregulation with near-infrared spectroscopy in adults after subarachnoid hemorrhage. Stroke. 2010;41(9):1963–8. doi:10.​1161/​strokeaha.​109.​577320.CrossRefPubMed
18.
go back to reference Hu X, Nenov V, Glenn TC, Steiner LA, Czosnyka M, Bergsneider M, Martin N. Nonlinear analysis of cerebral hemodynamic and intracranial pressure signals for characterization of autoregulation. IEEE Trans Biomed Eng. 2006;53(2):195–209. doi:10.1109/tbme.2005.862546.CrossRefPubMed Hu X, Nenov V, Glenn TC, Steiner LA, Czosnyka M, Bergsneider M, Martin N. Nonlinear analysis of cerebral hemodynamic and intracranial pressure signals for characterization of autoregulation. IEEE Trans Biomed Eng. 2006;53(2):195–209. doi:10.​1109/​tbme.​2005.​862546.CrossRefPubMed
20.
go back to reference Guiza F, Depreitere B, Piper I, Van den Berghe G, Meyfroidt G. Novel methods to predict increased intracranial pressure during intensive care and long-term neurologic outcome after traumatic brain injury: development and validation in a multicenter dataset. Crit Care Med. 2013;41(2):554–64. doi:10.1097/CCM.0b013e3182742d0a.CrossRefPubMed Guiza F, Depreitere B, Piper I, Van den Berghe G, Meyfroidt G. Novel methods to predict increased intracranial pressure during intensive care and long-term neurologic outcome after traumatic brain injury: development and validation in a multicenter dataset. Crit Care Med. 2013;41(2):554–64. doi:10.​1097/​CCM.​0b013e3182742d0a​.CrossRefPubMed
21.
go back to reference Bellazzi R, Ferrazzi F, Sacchi L. Predictive data mining in clinical medicine: a focus on selected methods and applications. Wiley Interdiscip Rev Data Min Knowl Discov. 2011;1(5):416–30. doi:10.1002/widm.23.CrossRef Bellazzi R, Ferrazzi F, Sacchi L. Predictive data mining in clinical medicine: a focus on selected methods and applications. Wiley Interdiscip Rev Data Min Knowl Discov. 2011;1(5):416–30. doi:10.​1002/​widm.​23.CrossRef
23.
go back to reference Burykin A, Peck T, Buchman TG. Using “off-the-shelf” tools for terabyte-scale waveform recording in intensive care: computer system design, database description and lessons learned. Comput Methods Progr Biomed. 2011;103(3):151–60. doi:10.1016/j.cmpb.2010.10.004.CrossRef Burykin A, Peck T, Buchman TG. Using “off-the-shelf” tools for terabyte-scale waveform recording in intensive care: computer system design, database description and lessons learned. Comput Methods Progr Biomed. 2011;103(3):151–60. doi:10.​1016/​j.​cmpb.​2010.​10.​004.CrossRef
24.
25.
go back to reference Lazaridis C, Czosnyka M. Patient-specific intracranial pressure response. J Neurosurg. 2014;120(4):892.CrossRefPubMed Lazaridis C, Czosnyka M. Patient-specific intracranial pressure response. J Neurosurg. 2014;120(4):892.CrossRefPubMed
26.
go back to reference Guendling K, Smielewski P, Czosnyka M, Lewis P, Nortje J, Timofeev I, Hutchinson PJ, Pickard JD (2006) Use of ICM plus software for on-line analysis of intracranial and arterial pressures in head-injured patients. In: Hoff JT, Keep RF, Xi G, Hua Y (eds) Brain edema XIII, vol 96. Acta Neurochirurgica Supplementa. pp 108–113. Guendling K, Smielewski P, Czosnyka M, Lewis P, Nortje J, Timofeev I, Hutchinson PJ, Pickard JD (2006) Use of ICM plus software for on-line analysis of intracranial and arterial pressures in head-injured patients. In: Hoff JT, Keep RF, Xi G, Hua Y (eds) Brain edema XIII, vol 96. Acta Neurochirurgica Supplementa. pp 108–113.
29.
go back to reference Aries MJ, Czosnyka M, Budohoski KP, Kolias AG, Radolovich DK, Lavinio A, Pickard JD, Smielewski P. Continuous monitoring of cerebrovascular reactivity using pulse waveform of intracranial pressure. Neurocrit Care. 2012;17(1):67–76. doi:10.1007/s12028-012-9687-z.CrossRefPubMed Aries MJ, Czosnyka M, Budohoski KP, Kolias AG, Radolovich DK, Lavinio A, Pickard JD, Smielewski P. Continuous monitoring of cerebrovascular reactivity using pulse waveform of intracranial pressure. Neurocrit Care. 2012;17(1):67–76. doi:10.​1007/​s12028-012-9687-z.CrossRefPubMed
32.
go back to reference von Mises R. Mathematical theory of probability and statistics. Orlando: Academic Press; 1964. von Mises R. Mathematical theory of probability and statistics. Orlando: Academic Press; 1964.
33.
go back to reference Cohen MJ, Grossman AD, Morabito D, Knudson MM, Butte AJ, Manley GT. Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care. 2010;. doi:10.1186/cc8864. Cohen MJ, Grossman AD, Morabito D, Knudson MM, Butte AJ, Manley GT. Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care. 2010;. doi:10.​1186/​cc8864.
34.
38.
go back to reference Warner HR, Toronto AF, Veasey LG, Stephenson R. A mathematical approach to medical diagnosis. Application to congenital heart disease. Jama. 1961;177:177–83.CrossRefPubMed Warner HR, Toronto AF, Veasey LG, Stephenson R. A mathematical approach to medical diagnosis. Application to congenital heart disease. Jama. 1961;177:177–83.CrossRefPubMed
39.
go back to reference Smielewski P, Czosnyka M, Steiner L, Belestri M, Piechnik S, Pickard JD (2005) ICM+: software for on-line analysis of bedside monitoring data after severe head trauma. In: Poon WS (ed) Intracranial pressure and brain monitoring XII, vol 95. Acta Neurochirurgica Supplementa, pp 43–49. Smielewski P, Czosnyka M, Steiner L, Belestri M, Piechnik S, Pickard JD (2005) ICM+: software for on-line analysis of bedside monitoring data after severe head trauma. In: Poon WS (ed) Intracranial pressure and brain monitoring XII, vol 95. Acta Neurochirurgica Supplementa, pp 43–49.
41.
go back to reference Aries MJ, Czosnyka M, Budohoski KP, Steiner LA, Lavinio A, Kolias AG, Hutchinson PJ, Brady KM, Menon DK, Pickard JD, Smielewski P. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40(8):2456–63. doi:10.1097/CCM.0b013e3182514eb6.CrossRefPubMed Aries MJ, Czosnyka M, Budohoski KP, Steiner LA, Lavinio A, Kolias AG, Hutchinson PJ, Brady KM, Menon DK, Pickard JD, Smielewski P. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40(8):2456–63. doi:10.​1097/​CCM.​0b013e3182514eb6​.CrossRefPubMed
Metadata
Title
Trending autoregulatory indices during treatment for traumatic brain injury
Authors
Nam Kim
Alex Krasner
Colin Kosinski
Michael Wininger
Maria Qadri
Zachary Kappus
Shabbar Danish
William Craelius
Publication date
01-12-2016
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 6/2016
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-015-9779-3

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