Predicting short and long-term mortality after acute ischemic stroke using EHR.

Vida Abedi; Venkatesh Avula; Seyed-Mostafa Razavi; Shreya Bavishi; Durgesh Chaudhary; Shima Shahjouei; Ming Wang; Christoph Griessenauer; Jiang Li; Ramin Zand

doi:10.1016/j.jns.2021.117560

Predicting short and long-term mortality after acute ischemic stroke using EHR.

Vida Abedi, Venkatesh Avula, Seyed-Mostafa Razavi, Shreya Bavishi, Durgesh Chaudhary, Shima Shahjouei, Ming Wang, Christoph Griessenauer (Co-author), Jiang Li, Ramin Zand

Research output: Contribution to journal › Original Article › peer-review

24 Citations (Web of Science)

Original language	English
Pages (from-to)	117560
Journal	JOURNAL OF THE NEUROLOGICAL SCIENCES
Volume	427
DOIs	https://doi.org/10.1016/j.jns.2021.117560
Publication status	Published - 2021

Keywords

HYPERCOAGULABLE STATE
PALLIATIVE CARE
OBESITY PARADOX
HEART-FAILURE
RISK
SURVIVAL
DISEASE

Access to Document

10.1016/j.jns.2021.117560

Cite this

Abedi, V., Avula, V., Razavi, S.-M., Bavishi, S., Chaudhary, D., Shahjouei, S., Wang, M., Griessenauer, C., Li, J., & Zand, R. (2021). Predicting short and long-term mortality after acute ischemic stroke using EHR. JOURNAL OF THE NEUROLOGICAL SCIENCES , 427, 117560. https://doi.org/10.1016/j.jns.2021.117560

Abedi, Vida ; Avula, Venkatesh ; Razavi, Seyed-Mostafa et al. / Predicting short and long-term mortality after acute ischemic stroke using EHR. In: JOURNAL OF THE NEUROLOGICAL SCIENCES 2021 ; Vol. 427. pp. 117560.

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title = "Predicting short and long-term mortality after acute ischemic stroke using EHR.",

keywords = "HYPERCOAGULABLE STATE, PALLIATIVE CARE, OBESITY PARADOX, HEART-FAILURE, RISK, SURVIVAL, DISEASE",

author = "Vida Abedi and Venkatesh Avula and Seyed-Mostafa Razavi and Shreya Bavishi and Durgesh Chaudhary and Shima Shahjouei and Ming Wang and Christoph Griessenauer and Jiang Li and Ramin Zand",

note = "Griessenauer: Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria",

year = "2021",

doi = "10.1016/j.jns.2021.117560",

language = "English",

volume = "427",

pages = "117560",

journal = "JOURNAL OF THE NEUROLOGICAL SCIENCES ",

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Abedi, V, Avula, V, Razavi, S-M, Bavishi, S, Chaudhary, D, Shahjouei, S, Wang, M, Griessenauer, C, Li, J & Zand, R 2021, 'Predicting short and long-term mortality after acute ischemic stroke using EHR.', JOURNAL OF THE NEUROLOGICAL SCIENCES , vol. 427, pp. 117560. https://doi.org/10.1016/j.jns.2021.117560

Predicting short and long-term mortality after acute ischemic stroke using EHR. / Abedi, Vida; Avula, Venkatesh; Razavi, Seyed-Mostafa et al.
In: JOURNAL OF THE NEUROLOGICAL SCIENCES , Vol. 427, 2021, p. 117560.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - Predicting short and long-term mortality after acute ischemic stroke using EHR.

AU - Abedi, Vida

AU - Avula, Venkatesh

AU - Razavi, Seyed-Mostafa

AU - Bavishi, Shreya

AU - Chaudhary, Durgesh

AU - Shahjouei, Shima

AU - Wang, Ming

AU - Griessenauer, Christoph

AU - Li, Jiang

AU - Zand, Ramin

N1 - Griessenauer: Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria

PY - 2021

Y1 - 2021

KW - HYPERCOAGULABLE STATE

KW - PALLIATIVE CARE

KW - OBESITY PARADOX

KW - HEART-FAILURE

KW - RISK

KW - SURVIVAL

KW - DISEASE

U2 - 10.1016/j.jns.2021.117560

DO - 10.1016/j.jns.2021.117560

M3 - Original Article

C2 - 34218182

SN - 0022-510X

VL - 427

SP - 117560

JO - JOURNAL OF THE NEUROLOGICAL SCIENCES

JF - JOURNAL OF THE NEUROLOGICAL SCIENCES

ER -

Abedi V, Avula V, Razavi SM, Bavishi S, Chaudhary D, Shahjouei S et al. Predicting short and long-term mortality after acute ischemic stroke using EHR. JOURNAL OF THE NEUROLOGICAL SCIENCES . 2021;427:117560. doi: 10.1016/j.jns.2021.117560