Association of Dynamic Trajectories of Time-Series Data and Life-Threatening Mass Effect in Large Middle Cerebral Artery Stroke

Wu S, Yuan R, Wang Y, et al. Early prediction of malignant brain edema after ischemic stroke. Stroke. 2018;49(12):2918–27.

Article  PubMed  Google Scholar 

Miao J, Song X, Sun W, Qiu X, Lan Y, Zhu Z. Predictors of malignant cerebral edema in cerebral artery infarction: a meta-analysis. J Neurol Sci. 2020;409:116607. https://doi.org/10.1016/j.jns.2019.116607.

Article  PubMed  Google Scholar 

Ong CJ, Gluckstein J, Laurido-Soto O, Yan Y, Dhar R, Lee JM. Enhanced detection of edema in malignant anterior circulation stroke (EDEMA) score: a risk prediction tool. Stroke. 2017;48(7):1969–72.

Article  PubMed  PubMed Central  Google Scholar 

Shimoyama T, Kimura K, Uemura J, et al. The DASH score: a simple score to assess risk for development of malignant middle cerebral artery infarction. J Neurol Sci. 2014;338(1–2):102–6.

Article  PubMed  Google Scholar 

Huang X, Chen C, Wang H, et al. The ACORNS grading scale: a novel tool for the prediction of malignant brain edema after endovascular thrombectomy. J Neurointerv Surg. 2023;15(e2):e190–7. https://doi.org/10.1136/jnis-2022-019404.

Article  PubMed  Google Scholar 

Gerriets T, Stolz E, Konig S, et al. Sonographic monitoring of midline shift in space-occupying stroke: an early outcome predictor. Stroke. 2001;32(2):442–7. https://doi.org/10.1161/01.str.32.2.442.

Article  CAS  PubMed  Google Scholar 

Kimberly WT, Dutra BG, Boers AMM, et al. Association of reperfusion with brain edema in patients with acute ischemic stroke: a secondary analysis of the MR CLEAN trial. JAMA Neurol. 2018;75(4):453–61. https://doi.org/10.1001/jamaneurol.2017.5162.

Article  PubMed  PubMed Central  Google Scholar 

McKeown MEPA, Kobsa J, Top I, Snider SB, Kidwell C, Campbell BCV, Davis SM, Donnan GA, Lev M, Sheth KN, Petersen N, Kimberly WT, Bevers MB. Midline shift greater than 3 mm independently predicts outcome after ischemic stroke. Neurocrit Care. 2022;36(1):46–51.

Article  PubMed  Google Scholar 

Pullicino PM, Alexandrov AV, Shelton JA, Alexandrova NA, Smurawska LT, Norris JW. Mass effect and death from severe acute stroke. Neurology. 1997;49(4):1090–5. https://doi.org/10.1212/wnl.49.4.1090.

Article  CAS  PubMed  Google Scholar 

Huang X, Liu L, Ning J, Li L, Shen Y. Estimation of the distribution of longitudinal biomarker trajectories prior to disease progression. Stat Med. 2019;38(11):2030–46. https://doi.org/10.1002/sim.8085.

Article  PubMed  PubMed Central  Google Scholar 

Ong C, Zhang R, Orfanoudaki A, et al. New methods of natural language processing using machine learning methods to identify ischemic stroke presence, acuity, and location from clinical radiology reports. In: Machine learning for healthcare. Ann Arbor, MI; 2019.

Kasner SE, Chalela JA, Luciano JM, et al. Reliability and validity of estimating the NIH stroke scale score from medical records. Stroke. 1999;30(8):1534–7. https://doi.org/10.1161/01.str.30.8.1534.

Article  CAS  PubMed  Google Scholar 

Jauch EC, Saver JL, Adams HP Jr, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2013;44(3):870–947. https://doi.org/10.1161/STR.0b013e318284056a.

Article  PubMed  Google Scholar 

Powers WJ, Rabinstein AA, Ackerson T, et al. Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke. 2019;50(12):e344–418. https://doi.org/10.1161/STR.0000000000000211.

Article  PubMed  Google Scholar 

Yarbrough CK, Ong CJ, Beyer AB, Lipsey K, Derdeyn CP. Endovascular thrombectomy for anterior circulation stroke: systematic review and meta-analysis. Stroke. 2015;46(11):3177–83.

Article  PubMed  Google Scholar 

Nogueira RG, Jadhav AP, Haussen DC, et al. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med. 2018;378(1):11–21. https://doi.org/10.1056/NEJMoa1706442.

Article  PubMed  Google Scholar 

Albers GW, Marks MP, Kemp S, et al. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med. 2018;378(8):708–18. https://doi.org/10.1056/NEJMoa1713973.

Article  PubMed  PubMed Central  Google Scholar 

Hofmeijer J, Kappelle LJ, Algra A, et al. Surgical decompression for space-occupying cerebral infarction (the hemicraniectomy after middle cerebral artery infarction with life-threatening edema trial [HAMLET]): a multicentre, open, randomised trial. Lancet Neurol. 2009;8(4):326–33.

Article  PubMed  Google Scholar 

Juttler E, Schwab S, Schmiedek P, et al. Decompressive surgery for the treatment of malignant infarction of the middle cerebral artery (DESTINY): a randomized, controlled trial. Stroke. 2007;38(9):2518–25.

Article  PubMed  Google Scholar 

Juttler E, Unterberg A, Woitzik J, et al. Hemicraniectomy in older patients with extensive middle-cerebral-artery stroke. N Engl J Med. 2014;370(12):1091–100.

Article  PubMed  Google Scholar 

Vahedi K, Vicaut E, Mateo J, et al. Sequential-design, multicenter, randomized, controlled trial of early decompressive craniectomy in malignant middle cerebral artery infarction (DECIMAL Trial). Stroke. 2007;38(9):2506–17.

Article  PubMed  Google Scholar 

Ropper AH. Lateral displacement of the brain and level of consciousness in patients with an acute hemispheral mass. N Engl J Med. 1986;314(15):953–8.

Article  CAS  PubMed  Google Scholar 

Carney N, Totten AM, O’Reilly C, et al. Guidelines for the management of severe traumatic brain injury, fourth edition. Neurosurgery. 2017;80(1):6–15. https://doi.org/10.1227/NEU.0000000000001432.

Article  PubMed  Google Scholar 

Kim ISY, Balogun OO, Prescott BR, et al. Quantitative pupillometry and radiographic markers of intracranial midline shift: a pilot study. Front Neurol. 2022;13:1046548. https://doi.org/10.3389/fneur.2022.1046548.

Article  PubMed  PubMed Central  Google Scholar 

Aalen OO, Johansen S. An empirical transition matrix for non-homogeneous Markov chains based on censored observations. Scand J Stat. 1978;5(3):141–50.

Google Scholar 

Cheng Y, Wu S, Wang Y, et al. External validation and modification of the EDEMA score for predicting malignant brain edema after acute ischemic stroke. Neurocrit Care. 2020;32(1):104–12. https://doi.org/10.1007/s12028-019-00844-y.

Article  PubMed  Google Scholar 

Hofmeijer J, Algra A, Kappelle LJ, van der Worp HB. Predictors of life-threatening brain edema in middle cerebral artery infarction. Cerebrovasc Dis. 2008;25(1–2):176–84. https://doi.org/10.1159/000113736.

Article  PubMed  Google Scholar 

Conner SCLS, Lunetta KL, Casas JP, Lubitz SA, Ellinor PT, Anderson CD, Huang Q, Coleman J, White WB, Benjamin EJ, Trinquart L. Refining the association between body mass index and atrial fibrillation: G-formula and restricted mean survival times. J Am Heart Assoc. 2019;8(16):e013011.

Article  PubMed  PubMed Central  Google Scholar 

Zhang Z, Reinikainen J, Adeleke KA, Pieterse ME, Groothuis-Oudshoorn CGM. Time-varying covariates and coefficients in Cox regression models. Ann Transl Med. 2018;6(7):121. https://doi.org/10.21037/atm.2018.02.12.

Article  PubMed  PubMed Central  Google Scholar 

Grady PA, Blaumanis OR. Physiologic parameters of the Cushing reflex. Surg Neurol. 1988;29(6):454–61. https://doi.org/10.1016/0090-3019(88)90140-1.

Article  CAS  PubMed  Google Scholar 

Comments (0)

No login
gif