Special Imaging Technique to Aid in the Diagnosis of Patients in Coma After Cardiac Arrest

Overview

In the present pilot study, the investigators propose to determine if performing CT perfusion scans in post-cardiac arrest patients in coma will help prognosticate the outcome in these patients.

Cardiac arrest is common and is associated with poor survival despite intensive medical care. These patients are subjected to cooling therapy to improve neurological outcomes. After cooling these patients are allowed to spontaneously return to normal body temperature. From here on, the outcome of these patients is mainly dependent on a wait and watch approach as the clinical examination of patients in a coma is very limited. Despite these attempts, 41% of these patients die and only 55 % of them have a favourable neurological outcome. There have been few clinical scoring systems to provide prognosis in the face of a cardiac arrest but none of them address the more serious group- those in coma. For patients in coma, their medications, particularly those that suppress the central nervous system, cause difficulty in their clinical assessment. Multiple ancillary tests, such as routine CT or MRI of brain, do not give any useful prognostic information. We hypothesize that the neurological outcome of patients in coma is mainly dependent on presence of brainstem function. To the best of our knowledge, no study has addressed the issue of brainstem function in cardiac arrest patients. This may be due to the fact that there was no imaging tool which could confidently depict the function of the brainstem. In a recently performed study in our institution, using CT perfusion technique, we have demonstrated that patients with diffusely impaired brainstem perfusion have poor prognosis and do not survive. This study is already being considered by the World Health Organization for the modification of criteria for the declaration of brain death. We suggest that a similar imaging technique will potentially be useful in prognosticating patients in coma following cardiac arrest. In the present pilot study, we propose to determine if performing CT perfusion scans in post-cardiac arrest patients in coma will help prognosticate the outcome in these patients. This may potentially help in early withdrawal of care in patients with significantly impaired brainstem function. If so, this will have a significant impact on patient care and can potentially have huge financial implications for the health care system. Such early decision making may also help in organ harvesting in suitable situations. This will potentially improve the quality of life in many other terminally ill patients.

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