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Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury
BACKGROUND/OBJECTIVES: We recently developed techniques to monitor intraspinal pressure (ISP) and spinal cord perfusion pressure (SCPP) from the injury site to compute the optimum SCPP (SCPP(opt)) in patients with acute traumatic spinal cord injury (TSCI). We hypothesized that ISP and SCPP(opt) can...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420421/ https://www.ncbi.nlm.nih.gov/pubmed/30328047 http://dx.doi.org/10.1007/s12028-018-0616-7 |
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author | Hogg, Florence R. A. Gallagher, Mathew J. Chen, Suliang Zoumprouli, Argyro Papadopoulos, Marios C. Saadoun, Samira |
author_facet | Hogg, Florence R. A. Gallagher, Mathew J. Chen, Suliang Zoumprouli, Argyro Papadopoulos, Marios C. Saadoun, Samira |
author_sort | Hogg, Florence R. A. |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: We recently developed techniques to monitor intraspinal pressure (ISP) and spinal cord perfusion pressure (SCPP) from the injury site to compute the optimum SCPP (SCPP(opt)) in patients with acute traumatic spinal cord injury (TSCI). We hypothesized that ISP and SCPP(opt) can be predicted using clinical factors instead of ISP monitoring. METHODS: Sixty-four TSCI patients, grades A–C (American spinal injuries association Impairment Scale, AIS), were analyzed. For 24 h after surgery, we monitored ISP and SCPP and computed SCPP(opt) (SCPP that optimizes pressure reactivity). We studied how well 28 factors correlate with mean ISP or SCPP(opt) including 7 patient-related, 3 injury-related, 6 management-related, and 12 preoperative MRI-related factors. RESULTS: All patients underwent surgery to restore normal spinal alignment within 72 h of injury. Fifty-one percentage had U-shaped sPRx versus SCPP curves, thus allowing SCPP(opt) to be computed. Thirteen percentage, all AIS grade A or B, had no U-shaped sPRx versus SCPP curves. Thirty-six percentage (22/64) had U-shaped sPRx versus SCPP curves, but the SCPP did not reach the minimum of the curve, and thus, an exact SCPP(opt) could not be calculated. In total 5/28 factors were associated with lower ISP: older age, excess alcohol consumption, nonconus medullaris injury, expansion duroplasty, and less intraoperative bleeding. In a multivariate logistic regression model, these 5 factors predicted ISP as normal or high with 73% accuracy. Only 2/28 factors correlated with lower SCPP(opt): higher mean ISP and conus medullaris injury. In an ordinal multivariate logistic regression model, these 2 factors predicted SCPP(opt) as low, medium–low, medium–high, or high with only 42% accuracy. No MRI factors correlated with ISP or SCPP(opt). CONCLUSIONS: Elevated ISP can be predicted by clinical factors. Modifiable factors that may lower ISP are: reducing surgical bleeding and performing expansion duroplasty. No factors accurately predict SCPP(opt); thus, invasive monitoring remains the only way to estimate SCPP(opt). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12028-018-0616-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6420421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-64204212019-04-03 Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury Hogg, Florence R. A. Gallagher, Mathew J. Chen, Suliang Zoumprouli, Argyro Papadopoulos, Marios C. Saadoun, Samira Neurocrit Care Original Article BACKGROUND/OBJECTIVES: We recently developed techniques to monitor intraspinal pressure (ISP) and spinal cord perfusion pressure (SCPP) from the injury site to compute the optimum SCPP (SCPP(opt)) in patients with acute traumatic spinal cord injury (TSCI). We hypothesized that ISP and SCPP(opt) can be predicted using clinical factors instead of ISP monitoring. METHODS: Sixty-four TSCI patients, grades A–C (American spinal injuries association Impairment Scale, AIS), were analyzed. For 24 h after surgery, we monitored ISP and SCPP and computed SCPP(opt) (SCPP that optimizes pressure reactivity). We studied how well 28 factors correlate with mean ISP or SCPP(opt) including 7 patient-related, 3 injury-related, 6 management-related, and 12 preoperative MRI-related factors. RESULTS: All patients underwent surgery to restore normal spinal alignment within 72 h of injury. Fifty-one percentage had U-shaped sPRx versus SCPP curves, thus allowing SCPP(opt) to be computed. Thirteen percentage, all AIS grade A or B, had no U-shaped sPRx versus SCPP curves. Thirty-six percentage (22/64) had U-shaped sPRx versus SCPP curves, but the SCPP did not reach the minimum of the curve, and thus, an exact SCPP(opt) could not be calculated. In total 5/28 factors were associated with lower ISP: older age, excess alcohol consumption, nonconus medullaris injury, expansion duroplasty, and less intraoperative bleeding. In a multivariate logistic regression model, these 5 factors predicted ISP as normal or high with 73% accuracy. Only 2/28 factors correlated with lower SCPP(opt): higher mean ISP and conus medullaris injury. In an ordinal multivariate logistic regression model, these 2 factors predicted SCPP(opt) as low, medium–low, medium–high, or high with only 42% accuracy. No MRI factors correlated with ISP or SCPP(opt). CONCLUSIONS: Elevated ISP can be predicted by clinical factors. Modifiable factors that may lower ISP are: reducing surgical bleeding and performing expansion duroplasty. No factors accurately predict SCPP(opt); thus, invasive monitoring remains the only way to estimate SCPP(opt). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12028-018-0616-7) contains supplementary material, which is available to authorized users. Springer US 2018-10-16 2019 /pmc/articles/PMC6420421/ /pubmed/30328047 http://dx.doi.org/10.1007/s12028-018-0616-7 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Hogg, Florence R. A. Gallagher, Mathew J. Chen, Suliang Zoumprouli, Argyro Papadopoulos, Marios C. Saadoun, Samira Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title | Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title_full | Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title_fullStr | Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title_full_unstemmed | Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title_short | Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury |
title_sort | predictors of intraspinal pressure and optimal cord perfusion pressure after traumatic spinal cord injury |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420421/ https://www.ncbi.nlm.nih.gov/pubmed/30328047 http://dx.doi.org/10.1007/s12028-018-0616-7 |
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