The ASCOD (Austrian Spanish Cooperation Development) [1] armoured fighting vehicle family is the product of a cooperation agreement between Austrian Steyr-Daimler-Puch AG and Spanish General Dynamics Santa Bárbara Sistemas. Both companies are now divisions of a unit of General Dynamics.

In ASCOD, every patient should be graded into 5 predefined phenotypes: A (atheroclerosis); S (small-vessel disease); C (cardiac pathology); O (other cause), and D (dissection).

May 7, 2024 · Compared to alternative classification systems that assign only one cause to each individual stroke and often have an "undefined" category, the ASCOD system allows classification of each stroke by detailing multifactorial causes and their relative probability of causation.

The ASCOD Algorithm for Cryptogenic Stroke assigns phenotype in patients with ischemic stroke of uncertain causes.

In this new evolution of ASCO called ASCOD, we have added a 'D' for dissection, recognizing that dissection is a very frequent disease in young stroke patients. We have also simplified the system by leaving out the 'levels of diagnostic evidence', which has been integrated into grades 9 and 0.

Mar 26, 2015 · Although the scoring of the ASCOD system is complex, the categories, with the exception of the differentiation of cases of arterial dissection and the exclusion of stroke of undetermined cause, are similar to those used in the TOAST classification.

Jul 30, 2013 · In this new evolution of ASCO called ASCOD, we have added a ‘D' for dissection, recognizing that dissection is a very frequent disease in young stroke patients. We have also simplified the system by leaving out the ‘levels of diagnostic evidence', which has been integrated into grades 9 and 0.

This study aimed to characterise the various phenotypes of ischaemic stroke in a young urban population (≤50 years old) using the ASCOD classification system, which assigns a score to five stroke categories: atherosclerosis, small vessel disease …

May 7, 2024 · The ASCOD classification system 1, published in 2013, aims to define phenotypes of ischaemic strokes for individual patients by assigning a degree of probability to each of the most common causes of this pathology. It serves most strictly as a research tool but is also useful clinically as a mnemonic to consider common causes of ischaemic stroke.

We assessed demographics and stroke etiology using both the TOAST and ASCOD classification systems. We then compared those labeled as cryptogenic per TOAST classification with their respective ASCOD classification to elucidate further stroke mechanisms in these patients.