A New Prediction Model for Aneurysmal Subarachnoid Hemorrhage

The model provides estimates of outcomes using patient characteristics that are readily available at hospital admission, but limitations remain.

Fifty years after the development of the Hunt Hess Scale — a clinical grading system for aneurysmal subarachnoid hemorrhage (SAH) — the task of predicting patient outcomes remains challenging and relies largely on the vagaries of a clinician's often fallible judgment.

Now, investigators have developed a new clinical prediction model for aneurysmal SAH using a derivation cohort of 10,936 SAH patients and a validation cohort of 3355 SAH patients, drawn from multiple randomized trials, prospective cohorts, and hospital registries in the Subarachnoid Haemorrhage International Trialists' data repository (Neurocrit Care 2014; 21:551).

Using available patient characteristics — age, World Federation of Neurosurgical Societies grade, premorbid hyperte…

Reviewing Authors

Judy Ch'ang, MD

Anthony S. Kim, MD

Disclosures

Grant/Research SupportNIH/National Institute of Neurological Disorders and Stroke; NIH/National Center for Advancing Translational Sciences

Anthony S. Kim, MD

Disclosures

Grant/Research SupportNIH/National Institute of Neurological Disorders and Stroke; NIH/National Center for Advancing Translational Sciences

A New Prediction Model for Aneurysmal Subarachnoid Hemorrhage

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Reviewing Authors