Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia

T. Nguyen; C. Stirling; L. Nichols; R. Chandra; S. Rehman; M.-J. Buscot; K. Smith; L. Blizzard; Leon Tat Lai; H. Asadi; A. Dubey; J. Froelich; N. Thani; M. Reeves; Amanda G. Thrift; Seana L. Gall

doi:10.1177/23969873221087559

Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia

T. Nguyen, C. Stirling, L. Nichols, R. Chandra, S. Rehman, M.-J. Buscot, K. Smith, L. Blizzard, Leon Tat Lai, H. Asadi, A. Dubey, J. Froelich, N. Thani, M. Reeves, Amanda G. Thrift, Seana L. Gall

Research output: Contribution to journal › Meeting Abstract › peer-review

Abstract

Background and aims: We explored predictors of very early (24h) treatment following aneurysmal subarachnoid haemorrhage (aSAH) in order to inform interventions to reduce treatment delays. Method(s): Confirmed first-ever aSAH cases were identified from two Australian tertiary referral centers during 2010-2016. We used medical and ambulance records to extract details of participants, including time from onset to either endovascular coiling or neurosurgical clipping, demographics, severity of aSAH (mFisher grade; WFNS), risk factors, pre-hospital care, and presenting symptoms. Factors associated with treatment 24h on univariable multinomial regression were entered into a multivariable model including purposefully selected confounders to identify factors independently associated with time to treatment. Result(s …

Original language	English
Article number	P0661/166
Pages (from-to)	391
Number of pages	1
Journal	European Stroke Journal
Volume	7
Issue number	1S
DOIs	https://doi.org/10.1177/23969873221087559
Publication status	Published - 2022
Event	European Stroke Organisation Conference 2022 - Lyon, France Duration: 4 May 2022 → 6 May 2022 Conference number: 8th https://journals.sagepub.com/doi/10.1177/23969873221087559

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Nguyen, T., Stirling, C., Nichols, L., Chandra, R., Rehman, S., Buscot, M.-J., Smith, K., Blizzard, L., Lai, L. T., Asadi, H., Dubey, A., Froelich, J., Thani, N., Reeves, M., Thrift, A. G., & Gall, S. L. (2022). Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia. European Stroke Journal, 7(1S), 391. Article P0661/166. https://doi.org/10.1177/23969873221087559

@article{0775325407c44530b3c43291ddec3756,

title = "Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia",

abstract = "Background and aims: We explored predictors of very early (24h) treatment following aneurysmal subarachnoid haemorrhage (aSAH) in order to inform interventions to reduce treatment delays. Method(s): Confirmed first-ever aSAH cases were identified from two Australian tertiary referral centers during 2010-2016. We used medical and ambulance records to extract details of participants, including time from onset to either endovascular coiling or neurosurgical clipping, demographics, severity of aSAH (mFisher grade; WFNS), risk factors, pre-hospital care, and presenting symptoms. Factors associated with treatment 24h on univariable multinomial regression were entered into a multivariable model including purposefully selected confounders to identify factors independently associated with time to treatment. Result(s …",

author = "T. Nguyen and C. Stirling and L. Nichols and R. Chandra and S. Rehman and M.-J. Buscot and K. Smith and L. Blizzard and Lai, {Leon Tat} and H. Asadi and A. Dubey and J. Froelich and N. Thani and M. Reeves and Thrift, {Amanda G.} and Gall, {Seana L.}",

year = "2022",

doi = "10.1177/23969873221087559",

language = "English",

volume = "7",

pages = "391",

journal = "European Stroke Journal",

issn = "2396-9873",

publisher = "SAGE Publications Ltd",

number = "1S",

note = "European Stroke Organisation Conference 2022, ESOC 2022 ; Conference date: 04-05-2022 Through 06-05-2022",

url = "https://journals.sagepub.com/doi/10.1177/23969873221087559",

}

Nguyen, T, Stirling, C, Nichols, L, Chandra, R, Rehman, S, Buscot, M-J, Smith, K, Blizzard, L, Lai, LT, Asadi, H, Dubey, A, Froelich, J, Thani, N, Reeves, M, Thrift, AG & Gall, SL 2022, 'Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia', European Stroke Journal, vol. 7, no. 1S, P0661/166, pp. 391. https://doi.org/10.1177/23969873221087559

TY - JOUR

T1 - Predictors of optimal treatment time following aneurysmal subarachnoid hemorrhage across two tertiary referral centers in Australia

AU - Nguyen, T.

AU - Stirling, C.

AU - Nichols, L.

AU - Chandra, R.

AU - Rehman, S.

AU - Buscot, M.-J.

AU - Smith, K.

AU - Blizzard, L.

AU - Lai, Leon Tat

AU - Asadi, H.

AU - Dubey, A.

AU - Froelich, J.

AU - Thani, N.

AU - Reeves, M.

AU - Thrift, Amanda G.

AU - Gall, Seana L.

N1 - Conference code: 8th

PY - 2022

Y1 - 2022

N2 - Background and aims: We explored predictors of very early (24h) treatment following aneurysmal subarachnoid haemorrhage (aSAH) in order to inform interventions to reduce treatment delays. Method(s): Confirmed first-ever aSAH cases were identified from two Australian tertiary referral centers during 2010-2016. We used medical and ambulance records to extract details of participants, including time from onset to either endovascular coiling or neurosurgical clipping, demographics, severity of aSAH (mFisher grade; WFNS), risk factors, pre-hospital care, and presenting symptoms. Factors associated with treatment 24h on univariable multinomial regression were entered into a multivariable model including purposefully selected confounders to identify factors independently associated with time to treatment. Result(s …

AB - Background and aims: We explored predictors of very early (24h) treatment following aneurysmal subarachnoid haemorrhage (aSAH) in order to inform interventions to reduce treatment delays. Method(s): Confirmed first-ever aSAH cases were identified from two Australian tertiary referral centers during 2010-2016. We used medical and ambulance records to extract details of participants, including time from onset to either endovascular coiling or neurosurgical clipping, demographics, severity of aSAH (mFisher grade; WFNS), risk factors, pre-hospital care, and presenting symptoms. Factors associated with treatment 24h on univariable multinomial regression were entered into a multivariable model including purposefully selected confounders to identify factors independently associated with time to treatment. Result(s …

U2 - 10.1177/23969873221087559

DO - 10.1177/23969873221087559

M3 - Meeting Abstract

SN - 2396-9873

VL - 7

SP - 391

JO - European Stroke Journal

JF - European Stroke Journal

IS - 1S

M1 - P0661/166

T2 - European Stroke Organisation Conference 2022

Y2 - 4 May 2022 through 6 May 2022

ER -