Acute Spinal Cord Injury: Correlations and Causal Relations Between Intraspinal Pressure, Spinal Cord Perfusion Pressure, Lactate-to-Pyruvate Ratio, and Limb Power

Florence R A Hogg, Siobhan Kearney, Argyro Zoumprouli, Marios C Papadopoulos, Samira Saadoun, Florence R A Hogg, Siobhan Kearney, Argyro Zoumprouli, Marios C Papadopoulos, Samira Saadoun

Abstract

Background/objective: We have recently developed monitoring from the injury site in patients with acute, severe traumatic spinal cord injuries to facilitate their management in the intensive care unit. This is analogous to monitoring from the brain in patients with traumatic brain injuries. This study aims to determine whether, after traumatic spinal cord injury, fluctuations in the monitored physiological, and metabolic parameters at the injury site are causally linked to changes in limb power.

Methods: This is an observational study of a cohort of adult patients with motor-incomplete spinal cord injuries, i.e., grade C American spinal injuries association Impairment Scale. A pressure probe and a microdialysis catheter were placed intradurally at the injury site. For up to a week after surgery, we monitored limb power, intraspinal pressure, spinal cord perfusion pressure, and tissue lactate-to-pyruvate ratio. We established correlations between these variables and performed Granger causality analysis.

Results: Nineteen patients, aged 22-70 years, were recruited. Motor score versus intraspinal pressure had exponential decay relation (intraspinal pressure rise to 20 mmHg was associated with drop of 11 motor points, but little drop in motor points as intraspinal pressure rose further, R2 = 0.98). Motor score versus spinal cord perfusion pressure (up to 110 mmHg) had linear relation (1.4 motor point rise/10 mmHg rise in spinal cord perfusion pressure, R2 = 0.96). Motor score versus lactate-to-pyruvate ratio (greater than 20) also had linear relation (0.8 motor score drop/10-point rise in lactate-to-pyruvate ratio, R2 = 0.92). Increased intraspinal pressure Granger-caused increase in lactate-to-pyruvate ratio, decrease in spinal cord perfusion, and decrease in motor score. Increased spinal cord perfusion Granger-caused decrease in lactate-to-pyruvate ratio and increase in motor score. Increased lactate-to-pyruvate ratio Granger-caused increase in intraspinal pressure, decrease in spinal cord perfusion, and decrease in motor score. Causality analysis also revealed multiple vicious cycles that amplify insults to the cord thus exacerbating cord damage.

Conclusion: Monitoring intraspinal pressure, spinal cord perfusion pressure, lactate-to-pyruvate ratio, and intervening to normalize these parameters are likely to improve limb power.

Keywords: Blood pressure; Intraspinal pressure; LPR; Management; Microdialysis; Monitoring; Spinal cord injury.

Conflict of interest statement

All authors have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Monitoring setup. a Intraspinal pressure probe and microdialysis catheter inserted intradurally to monitor from injured cord. b Preoperative sagittal T2 MRI of patient no. 52 with spinal cord injury at C6. c. Postoperative axial CT with intraspinal pressure probe and microdialysis catheter in situ. d Multi-modality monitoring of motor score (yellow), intraspinal pressure (blue), mean arterial pressure (green), spinal cord perfusion pressure (red) as well as tissue glucose (pink), lactate (orange), pyruvate (cyan), and lactate-to-pyruvate ratio (purple) (Color figure online)
Fig. 2
Fig. 2
Standardized motor score correlates with injury site physiology. Standardized motor score versus a intraspinal pressure, b spinal cord perfusion pressure and c mean arterial pressure. Mean ± standard error. Trends (dotted gray line) modeled as exponential decay (intraspinal pressure, R2 = 0.98, P < 0.0005), linear (spinal cord perfusion pressure in the range < 50 to 110 mmHg, R2 = 0.96, P < 0.0005), and bounded exponential (Mean arterial pressure, R2 = 0.73, P < 0.05)
Fig. 3
Fig. 3
Standardized motor score correlates with injury site metabolism. a Relation between standardized motor score and lactate-to-pyruvate ratio. b Glucose and c Lactate + Pyruvate versus lactate-to-pyruvate ratio. Mean ± standard error. In a, the dotted line is the best fit straight line for lactate-to-pyruvate ratio in the range 20 to > 70 mmHg, R2 = 0.92, P < 0.005
Fig. 4
Fig. 4
Intraspinal pressure correlates with injury site metabolism. a Tissue glucose, b tissue lactate-to-pyruvate ratio and c tissue pyruvate (black) + lactate (gray), versus Intraspinal pressure. Mean ± standard error. In a, best fit straight line R2 = 0.57, P < 0.05
Fig. 5
Fig. 5
Spinal cord perfusion pressure correlates with injury site metabolism. a Tissue glucose. b Tissue lactate-to-pyruvate ratio and c. tissue pyruvate (black) + lactate (gray), versus ISP. Mean ± standard error. In a, best fit straight line R2 = 0.83, P < 0.005
Fig. 6
Fig. 6
Granger causality relations. Each arrow indicates the direction of information flow, i.e., causal influence, with corresponding F and P values. ‘ + ’ or ‘–’ indicate the correlation between the variables. Causality arrows are shown if P < 0.05. Analysis is shown for lag = 1, but also holds for lag = 2 or 3. For details, see supplement

References

    1. Lee BB, Cripps RA, Fitzharris M, Wing PC. The global map for traumatic spinal cord injury epidemiology: update 2011, global incidence rate. Spinal Cord. 2014;52:110–116. doi: 10.1038/sc.2012.158.
    1. Centre NSS. Spinal cord injury facts and figures at a glance. J Spinal Cord Med. 2014;37:659–660. doi: 10.1179/1079026814Z.000000000341.
    1. Fehlings MG, Vaccaro A, Wilson JR, et al. Early versus delayed decompression for traumatic cervical spinal cord injury: results of the Surgical Timing in Acute Spinal Cord Injury Study (STASCIS) PLoS ONE. 2012;7:e32037. doi: 10.1371/journal.pone.0032037.
    1. Batchelor PE, Wills TE, Skeers P, et al. Meta-analysis of pre-clinical studies of early decompression in acute spinal cord injury: a battle of time and pressure. PLoS ONE. 2013;8:e72659. doi: 10.1371/journal.pone.0072659.
    1. Wagner FC, Jr, Chehrazi B. Early decompression and neurological outcome in acute cervical spinal cord injuries. J Neurosurg. 1982;56:699–705. doi: 10.3171/jns.1982.56.5.0699.
    1. Dvorak MF, Noonan VK, Fallah N, et al. The influence of time from injury to surgery on motor recovery and length of hospital stay in acute traumatic spinal cord injury: an observational Canadian cohort study. J Neurotrauma. 2015;32:645–654. doi: 10.1089/neu.2014.3632.
    1. Wilson JR, Singh A, Craven C, et al. Early versus late surgery for traumatic spinal cord injury: the results of a prospective Canadian cohort study. Spinal Cord. 2012;50:840–843. doi: 10.1038/sc.2012.59.
    1. Bracken MB, Collins WF, Freeman DF, et al. Efficacy of methylprednisolone in acute spinal cord injury. JAMA. 1984;251:45–52. doi: 10.1001/jama.1984.03340250025015.
    1. Bracken MB, Shepard MJ, Collins WF, et al. A randomized, controlled trial of methylprednisolone or naloxone in the treatment of acute spinal-cord injury. Results of the Second National Acute Spinal Cord Injury Study. N Engl J Med. 1990;322:1405–1411. doi: 10.1056/NEJM199005173222001.
    1. Bracken MB, Shepard MJ, Holford TR, et al. Administration of methylprednisolone for 24 or 48 hours or tirilazad mesylate for 48 hours in the treatment of acute spinal cord injury. Results of the Third National Acute Spinal Cord Injury Randomized Controlled Trial. National Acute Spinal Cord Injury Study. JAMA. 1997;277:1597–1604. doi: 10.1001/jama.1997.03540440031029.
    1. Otani K AH, Kadoya S, Nakagawa H, Ikata T, Tominaga S. Beneficial effect of methylprednisolone sodium succinate in the treatment of acute spinal cord injury. Sekitsui Sekizui 1994:633–47.
    1. Fehlings MG, Wilson JR, Tetreault LA, et al. A clinical practice guideline for the management of patients with acute spinal cord injury: recommendations on the use of methylprednisolone sodium succinate. Global Spine J. 2017;7:203S–S211. doi: 10.1177/2192568217703085.
    1. Tator CH, Rowed DW, Schwartz ML, et al. Management of acute spinal cord injuries. Can J Surg. 1984;27(289–93):96.
    1. Vale FL, Burns J, Jackson AB, Hadley MN. Combined medical and surgical treatment after acute spinal cord injury: results of a prospective pilot study to assess the merits of aggressive medical resuscitation and blood pressure management. J Neurosurg. 1997;87:239–246. doi: 10.3171/jns.1997.87.2.0239.
    1. Jacobs WB. Mean Arterial Blood Pressure Treatment for Acute Spinal Cord Injury (MAPS). ; 2014:02232165.
    1. Levi L, Wolf A, Belzberg H. Hemodynamic parameters in patients with acute cervical cord trauma: description, intervention, and prediction of outcome. Neurosurgery. 1993;33:1007–16.
    1. Wilson JR, Forgione N, Fehlings MG. Emerging therapies for acute traumatic spinal cord injury. CMAJ. 2013;185:485–492. doi: 10.1503/cmaj.121206.
    1. Saadoun S, Papadopoulos MC. Spinal cord injury: is monitoring from the injury site the future? Crit Care. 2016;20:308. doi: 10.1186/s13054-016-1490-3.
    1. Chen S, Smielewski P, Czosnyka M, Papadopoulos MC, Saadoun S. Continuous monitoring and visualization of optimum spinal cord perfusion pressure in patients with acute cord injury. J Neurotrauma. 2017;34:2941–2949. doi: 10.1089/neu.2017.4982.
    1. Saadoun S, Chen S, Papadopoulos MC. Intraspinal pressure and spinal cord perfusion pressure predict neurological outcome after traumatic spinal cord injury. J Neurol Neurosurg Psychiatry. 2017;88:452–453. doi: 10.1136/jnnp-2016-314600.
    1. Hogg FRA, Gallagher MJ, Chen S, Zoumprouli A, Papadopoulos MC, Saadoun S. Predictors of intraspinal pressure and optimal cord perfusion pressure after traumatic spinal cord injury. Neurocrit Care. 2019;30:421–428. doi: 10.1007/s12028-018-0616-7.
    1. Phang I, Zoumprouli A, Papadopoulos MC, Saadoun S. Microdialysis to optimize cord perfusion and drug delivery in spinal cord injury. Ann Neurol. 2016;80:522–531. doi: 10.1002/ana.24750.
    1. Chen S, Phang I, Zoumprouli A, Papadopoulos MC, Saadoun S. Metabolic profile of injured human spinal cord determined using surface microdialysis. J Neurochem. 2016;139:700–705. doi: 10.1111/jnc.13854.
    1. Phang I, Zoumprouli A, Saadoun S, Papadopoulos MC. Safety profile and probe placement accuracy of intraspinal pressure monitoring for traumatic spinal cord injury: injured spinal cord pressure evaluation study. J Neurosurg Spine. 2016;25:398–405. doi: 10.3171/2016.1.SPINE151317.
    1. Gallagher MJ, Zoumprouli A, Phang I, et al. Markedly deranged injury site metabolism and impaired functional recovery in acute spinal cord injury patients with fever. Crit Care Med 2018.
    1. Werndle MC, Saadoun S, Phang I, et al. Monitoring of spinal cord perfusion pressure in acute spinal cord injury: initial findings of the injured spinal cord pressure evaluation study. Crit Care Med. 2014;42:646–655. doi: 10.1097/CCM.0000000000000028.
    1. Granger CWJ. Investigating causal relations by econometric models and cross-spectral methods. Econometrica. 1969;37:424–438. doi: 10.2307/1912791.
    1. Seth AK, Barrett AB, Barnett L. Granger causality analysis in neuroscience and neuroimaging. J Neurosci. 2015;35:3293–3297. doi: 10.1523/JNEUROSCI.4399-14.2015.
    1. Werndle MC, Saadoun S, Phang I, et al. Measurement of intraspinal pressure after spinal cord injury: technical note from the injured spinal cord pressure evaluation study. Acta Neurochir Suppl. 2016;122:323–328. doi: 10.1007/978-3-319-22533-3_64.
    1. Werndle MC, Saadoun S, Phang I, et al. Monitoring of spinal cord perfusion pressure in acute spinal cord injury: initial findings of the injured spinal cord pressure evaluation study*. Crit Care Med. 2014;42:646–655. doi: 10.1097/CCM.0000000000000028.
    1. Varsos GV, Werndle MC, Czosnyka ZH, et al. Intraspinal pressure and spinal cord perfusion pressure after spinal cord injury: an observational study. J Neurosurg Spine. 2015;23:763–771. doi: 10.3171/2015.3.SPINE14870.
    1. Gallagher MJ, Zoumprouli A, Phang I, et al. Markedly deranged injury site metabolism and impaired functional recovery in acute spinal cord injury patients with fever. Crit Care Med. 2018;46:1150–1157. doi: 10.1097/CCM.0000000000003134.
    1. Hennekens CH, DeMets D. Statistical association and causation: contributions of different types of evidence. JAMA. 2011;305:1134–1135. doi: 10.1001/jama.2011.322.
    1. Black N. Why we need observational studies to evaluate the effectiveness of health care. BMJ. 1996;312:1215–1218. doi: 10.1136/bmj.312.7040.1215.
    1. Sanson-Fisher RW, Bonevski B, Green LW, D'Este C. Limitations of the randomized controlled trial in evaluating population-based health interventions. Am J Prev Med. 2007;33:155–161. doi: 10.1016/j.amepre.2007.04.007.
    1. Sugihara G, May R, Ye H, et al. Detecting causality in complex ecosystems. Science. 2012;338:496–500. doi: 10.1126/science.1227079.
    1. Chen Z, Guo H, Lu Z, Sun K, Jin Q. Hyperglycemia aggravates spinal cord injury through endoplasmic reticulum stress mediated neuronal apoptosis, gliosis and activation. Biomed Pharmacother. 2019;112:108672. doi: 10.1016/j.biopha.2019.108672.
    1. Kobayakawa K, Kumamaru H, Saiwai H, et al. Acute hyperglycemia impairs functional improvement after spinal cord injury in mice and humans. Sci Transl Med. 2014;6:256ra137. doi: 10.1126/scitranslmed.3009430.
    1. Park KS, Kim JB, Keung M, et al. Chronic hyperglycemia before spinal cord injury increases inflammatory reaction and astrogliosis after injury: human and rat studies. J Neurotrauma 2020.
    1. Walters BC, Hadley MN, Hurlbert RJ, et al. Guidelines for the management of acute cervical spine and spinal cord injuries: 2013 update. Neurosurgery. 2013;60:82–91. doi: 10.1227/01.neu.0000430319.32247.7f.
    1. Phang I, Werndle MC, Saadoun S, et al. Expansion duroplasty improves intraspinal pressure, spinal cord perfusion pressure, and vascular pressure reactivity index in patients with traumatic spinal cord injury: injured spinal cord pressure evaluation study. J Neurotrauma. 2015;32:865–874. doi: 10.1089/neu.2014.3668.

Source: PubMed

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