{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T03:33:47Z","timestamp":1790393627999,"version":"4.1.0"},"reference-count":45,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T00:00:00Z","timestamp":1706659200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:p>\n                    Time constant of the cerebral arterial bed (\u03c4) is a transcranial Doppler (TCD) based metric that is expected to quantify the transit time of red blood cells from the insonation point to the arteriole-capillary boundary during a cardiac cycle. This study aims to assess the potential of \u03c4 as an early predictor of delayed cerebral ischemia (DCI). Consecutive patients (56\u2009\u00b1\u200915\u2009years) treated for aneurysmal subarachnoid haemorrhage were included in the study. \u03c4 was assessed through a modelling approach that involved simultaneous recordings of arterial blood pressure and cerebral blood flow velocity (CBFV) from TCD's first recordings. 71 patients were included. 17 patients experienced DCI. \u03c4 was significantly shorter in patients who later developed DCI: 187\u2009\u00b1\u200964\u2009ms vs. 249\u2009\u00b1\u2009184\u2009ms; p\u2009=\u20090.040 with moderate effect size (r\n                    <jats:sub>G<\/jats:sub>\n                    \u2009=\u20090.24). Logistic regression showed that there was a significant association between increased CBFV, shortened \u03c4, and the development of DCI (\u03c7\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u200911.54; p\u2009=\u20090.003) with AUC for the model 0.75. Patients who had both shortened \u03c4 and increased CBFV were 20 times more likely to develop DCI (OR\u2009=\u200920.4 (2.2\u2013187.7)). Our results suggest that early alterations in \u03c4 are associated with DCI after aSAH. The highest performance of the model including both CBFV and \u03c4 may suggest the importance of both macrovascular and microvascular changes assessment.\n                  <\/jats:p>","DOI":"10.1177\/0271678x241228512","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T19:17:05Z","timestamp":1706728625000},"page":"1208-1217","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Predictive value of cerebrovascular time constant for delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage"],"prefix":"10.1177","volume":"44","author":[{"given":"Agnieszka","family":"Uryga","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Magdalena","family":"Kasprowicz","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wroclaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karol","family":"Budohoski","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA"},{"name":"Department of Neurosurgery, University of Utah, Salt Lake City, Utah, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathalie","family":"Nasr","sequence":"additional","affiliation":[{"name":"Department of Neurology, Poitiers University Hospital, Laboratoire de Neurosciences Exp\u00e9rimentales et Cliniques, University of Poitiers, Poitiers, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marek","family":"Czosnyka","sequence":"additional","affiliation":[{"name":"Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke\u2019s Hospital, University of Cambridge, Cambridge, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,1,31]]},"reference":[{"key":"bibr1-0271678X241228512","doi-asserted-by":"publisher","DOI":"10.1097\/ANA.0000000000000130"},{"key":"bibr2-0271678X241228512","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2012.01.003"},{"key":"bibr3-0271678X241228512","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.110.597005"},{"key":"bibr4-0271678X241228512","doi-asserted-by":"publisher","DOI":"10.3171\/jns.1982.57.6.0769"},{"key":"bibr5-0271678X241228512","doi-asserted-by":"publisher","DOI":"10.1161\/hs0102.100484"},{"key":"bibr6-0271678X241228512","first-page":"81","volume":"42","author":"Lindegaard KF","year":"1988","journal-title":"Acta Neurochir Suppl (Wien)"},{"key":"bibr7-0271678X241228512","first-page":"1237","volume":"44","author":"Vora 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