2020
DOI: 10.1089/neu.2019.6495
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A Preliminary Cohort Study Assessing Routine Blood Analyte Levels and Neurological Outcome after Spinal Cord Injury

Abstract: There is increasing interest in the identification of biomarkers that could predict neurological outcome following a spinal cord injury (SCI). Although initial American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade is a good indicator of neurological outcome, for the patient and clinicians, an element of uncertainty remains. This preliminary study aimed to assess the additive potential of routine blood analytes following principal component analysis (PCA) to develop prognostic models for neurol… Show more

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Cited by 15 publications
(22 citation statements)
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References 70 publications
(70 reference statements)
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“…We previously published a preliminary study that highlighted the value of routinely measured blood analytes in prognostic models of SCI, and demonstrated that some blood measures, particularly markers of liver function, added modest but statistically significant value to predictions of 3- and 12-month ISNSCI AIS motor and sensory scores. 23 In this study, we have validated our findings in another, independent and larger SCI cohort. We have further developed alternative, more robust methods of modeling and have demonstrated that similar markers, including alanine transaminase (ALT) and gamma-glutamyl transferase (GGT) add value not only when predicting AIS scores at discharge and 12 months, but also with regard to Spinal Cord Independence Measure (SCIM) outcomes.…”
Section: Introductionsupporting
confidence: 83%
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“…We previously published a preliminary study that highlighted the value of routinely measured blood analytes in prognostic models of SCI, and demonstrated that some blood measures, particularly markers of liver function, added modest but statistically significant value to predictions of 3- and 12-month ISNSCI AIS motor and sensory scores. 23 In this study, we have validated our findings in another, independent and larger SCI cohort. We have further developed alternative, more robust methods of modeling and have demonstrated that similar markers, including alanine transaminase (ALT) and gamma-glutamyl transferase (GGT) add value not only when predicting AIS scores at discharge and 12 months, but also with regard to Spinal Cord Independence Measure (SCIM) outcomes.…”
Section: Introductionsupporting
confidence: 83%
“…Two factors—“liver function,” consisting of alanine transaminase, alkaline phosphatase and GGT, and “liver function and inflammation,” consisting of CRP and total bilirubin—added statistically significant value to models of AIS touch and pain scores at 3 months post-injury, and AIS motor and pain scores at 12 months. 23 , 61 , 62 Total bilirubin in particular was included in five of eight penalized models and was significant in three of the non-penalized models. This provides further evidence that liver function is relevant to neurological recovery in SCI.…”
Section: Discussionmentioning
confidence: 99%
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“…Here we show that perturbing the spinal cord-liver axis also damages the spinal cord and, depending on the severity of liver inflammation at the time of SCI, may even be detrimental to the brain. Notably, a clinical study of SCI subjects showed that blood analytes relating to “liver function” and “acute inflammation and liver function” including ALT were excellent predictors of neurological function at 3 and 12 months post-SCI (Brown et al ., 2020). This suggests that liver pathology after SCI is an important biomarker and imply a two-way link between hepatic inflammation/injury and the outcome from SCI.…”
Section: Discussionmentioning
confidence: 99%
“…As stated above, liver inflammation may be an important biomarker for SCI severity (Brown et al ., 2020). Our prior preclinical work shows that the liver is not only a “reporter” of injury but that the liver itself is also a “victim” of SCI, as it develops robust and persistent inflammation and lipid accumulation consistent with development of “neurogenic” NASH (Sauerbeck et al ., 2015; Goodus et al ., 2018; Goodus and McTigue, 2020).…”
Section: Discussionmentioning
confidence: 99%