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Post-anoxic quantitative MRI changes may predict emergence from coma and functional outcomes at discharge.

ABSTRACT: Traditional predictors of neurological prognosis after cardiac arrest are unreliable after targeted temperature management. Absence of pupillary reflexes remains a reliable predictor of poor outcome. Diffusion-weighted imaging has emerged as a potential predictor of recovery, and here we compare imaging characteristics to pupillary exam.We identified 69 patients who had MRIs within seven days of arrest and used a semi-automated algorithm to perform quantitative volumetric analysis of apparent diffusion coefficient (ADC) sequences at various thresholds. Area under receiver operating characteristic curves (ROC-AUC) were estimated to compare predictive values of quantitative MRI with pupillary exam at days 3, 5 and 7 post-arrest, for persistence of coma and functional outcomes at discharge. Cerebral Performance Category scores of 3-4 were considered poor outcome.Excluding patients where life support was withdrawn, ?2.8% diffusion restriction of the entire brain at an ADC of ?650×10-6m2/s was 100% specific and 68% sensitive for failure to wake up from coma before discharge. The ROC-AUC of ADC changes at ?450×10-6mm2/s and ?650×10-6mm2/s were significantly superior in predicting failure to wake up from coma compared to bilateral absence of pupillary reflexes. Among survivors, >0.01% of diffusion restriction of the entire brain at an ADC ?450×10-6m2/s was 100% specific and 46% sensitive for poor functional outcome at discharge. The ROC curve predicting poor functional outcome at ADC ?450×10-6mm2/s had an AUC of 0.737 (0.574-0.899, p=0.04).Post-anoxic diffusion changes using quantitative brain MRI may aid in predicting persistent coma and poor functional outcomes at hospital discharge.

SUBMITTER: Reynolds AS

PROVIDER: S-EPMC5751429 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Post-anoxic quantitative MRI changes may predict emergence from coma and functional outcomes at discharge.

Reynolds Alexandra S AS Guo Xiaotao X Matthews Elizabeth E Brodie Daniel D Rabbani Leroy E LE Roh David J DJ Park Soojin S Claassen Jan J Elkind Mitchell S V MSV Zhao Binsheng B Agarwal Sachin S

Resuscitation 20170615

<h4>Background</h4>Traditional predictors of neurological prognosis after cardiac arrest are unreliable after targeted temperature management. Absence of pupillary reflexes remains a reliable predictor of poor outcome. Diffusion-weighted imaging has emerged as a potential predictor of recovery, and here we compare imaging characteristics to pupillary exam.<h4>Methods</h4>We identified 69 patients who had MRIs within seven days of arrest and used a semi-automated algorithm to perform quantitative ...[more]

PMID: 28624592

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Post-anoxic quantitative MRI changes may predict emergence from coma and functional outcomes at discharge.

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Post-anoxic quantitative MRI changes may predict emergence from coma and functional outcomes at discharge.

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