send link to app

SAH DCI


4.2 ( 1872 ratings )
Forme et santé Médecine
Développeur DigitalNeurosurgeon.com
1.99 USD

SAH DCI calculates the risk for delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) based on several classification systems that are published in scientific journals.

The basic module calculates 3 parameters. It uses the WFNS SAH score and the modified Fisher score to calculate the VASOGRADE risk category.[1,2]

The advanced module calculates 7 parameters. It uses some more input parameters and also calculates the BEHAVIOR score and the risk chart category as published by De Rooij et al.[3,4] In both modules, a report can be sent by email that includes all user-entered parameters and a full report as displayed in the app.

This app has been developed and tested by a neurosurgeon, and incorporates CE-marked technology for risk minimization inspired by the European MEDDEV guidelines and FDA guidance on mobile medical applications.

References:

[1] Frontera, J. A., & Claassen, J. (2006). PREDICTION OF SYMPTOMATICVASOSPASM AFTER SUBARACHNOID HEMORRHAGE: THE MODIFIED FISHER SCALE. Neurosurgery, 59(3), 529–538. http://doi.org/10.1227/01.NEU.0000228680.22550.A2

[2] de Oliveira Manoel, a. L., Jaja, B. N., Germans, M. R., Yan, H., Qian, W., Kouzmina, E., … Tseng, M.-Y. (2015). The VASOGRADE: A Simple Grading Scale for Prediction of Delayed Cerebral Ischemia After Subarachnoid Hemorrhage. Stroke, 1–7. http://doi.org/10.1161/STROKEAHA.115.008728

[3] Jabbarli, R., Reinhard, M., Roelz, R., Shah, M., Niesen, W.-D., Kaier, K., … Van Velthoven, V. (2015). Early identification of individuals at high risk for cerebral infarction after aneurysmal subarachnoid hemorrhage: the BEHAVIOR score. Journal of Cerebral Blood Flow & Metabolism, (February), 1–6. http://doi.org/10.1038/jcbfm.2015.81

[4] De Rooij, N. K., Greving, J. P., Rinkel, G. J. E., & Frijns, C. J. M. (2013). Early prediction of delayed cerebral ischemia after subarachnoid hemorrhage: Development and validation of a practical risk chart. Stroke. http://doi.org/10.1161/STROKEAHA.113.001125