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Blood Metabolomic Predictors of 1-Year Outcome in Subarachnoid Hemorrhage

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Abstract

Background

Delayed neurological deficit (DND) is the most important cause of morbidity and mortality in patients with subarachnoid hemorrhage (SAH) whose aneurysms have been secured. However, the methods currently used to predict the development of DND, such as trans-cranial Doppler or levels biochemical markers in blood and cerebrospinal fluid are not very accurate.

Method

Venous blood was drawn from 50 patients with SAH, admitted to the neurosurgical department Umeå University Hospital, at day 1–3 and day 7 after the bleed. The clinical status of the patients was followed up approximately 1 year after this episode and classified according to the Glasgow Outcome Score (GOS).

Results

Results showed considerable differences in blood metabolomic patterns between day 1–3 and 7 after the hemorrhage. Fifty-six out of 98 metabolites could be identified from our in-house library and 17 of these metabolites changed significantly from day 1–3 to 7 after the bleed. One of these, myo-inositol, was predictive of clinical outcome even after correction for multiple testing. An estimation of the diagnostic accuracy of high levels of this substance in predicting good outcome (GOS 4–5) yielded a sensitivity of .763 and a specificity of .5 at the optimal cut off point.

Conclusions

SAH is an event with a profound effect on blood metabolomics profiles. Myo-inositol might be an interesting compound for future study to focus on in the search for metabolic markers in venous blood of delayed neurological deterioration in SAH patients.

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Acknowledgment

This research was supported by Grants from the County Council of Västerbotten, Sweden, and by Umeå University.

Conflict of interest

The authors have no conflicts of interest to declare.

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Authors and Affiliations

  1. Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden

    Rickard L. Sjöberg, Tommy Bergenheim & Peter Lindvall

  2. Department of Chemistry, Computational Life Science Cluster, Umeå University, Umeå, Sweden

    Lina Mörén & Henrik Antti

  3. Department of Anaesthesiology and Intensive Care Medicine, Institute of Surgical and Pereoperative Sciences, Umeå University, Umeå, Sweden

    Cecilia Lindgren & Silvana Naredi

  4. Department of Neurosurgery, Umeå University Hospital, 901 85, Umeå, Sweden

    Rickard L. Sjöberg

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  1. Rickard L. Sjöberg
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Correspondence to Rickard L. Sjöberg.

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Sjöberg, R.L., Bergenheim, T., Mörén, L. et al. Blood Metabolomic Predictors of 1-Year Outcome in Subarachnoid Hemorrhage. Neurocrit Care 23, 225–232 (2015). https://doi.org/10.1007/s12028-014-0089-2

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