Behme, Daniel

[["dc.bibliographiccitation.firstpage","362"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Stroke"],["dc.bibliographiccitation.lastpage","372"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Peter, Carolin"],["dc.contributor.author","Zapf, Antonia"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2021-06-01T10:48:59Z"],["dc.date.available","2021-06-01T10:48:59Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.5853/jos.2018.00605"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86121"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2287-6405"],["dc.relation.issn","2287-6391"],["dc.title","Outcome Prediction Using Perfusion Parameters and Collateral Scores of Multi-Phase and Single-Phase CT Angiography in Acute Stroke: Need for One, Two, Three, or Thirty Scans?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","287"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","The Neuroradiology Journal"],["dc.bibliographiccitation.lastpage","293"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Schnieder, M"],["dc.contributor.author","Psychogios, MN"],["dc.contributor.author","Maier, IL"],["dc.contributor.author","Tsogkas, I"],["dc.contributor.author","Schregel, K"],["dc.contributor.author","Kleinknecht, A"],["dc.contributor.author","Knauth, M"],["dc.contributor.author","Bähr, M."],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Behme, D"],["dc.date.accessioned","2020-12-10T18:38:38Z"],["dc.date.available","2020-12-10T18:38:38Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1177/1971400918791700"],["dc.identifier.eissn","2385-1996"],["dc.identifier.issn","1971-4009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77395"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","The problem of strict image-based inclusion criteria for mechanical thrombectomy – an analysis of stroke patients with an initial low CBV-ASPECTS score"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","18"],["dc.bibliographiccitation.issue","1-2"],["dc.bibliographiccitation.journal","Cerebrovascular Diseases"],["dc.bibliographiccitation.lastpage","25"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2018-04-23T11:48:23Z"],["dc.date.available","2018-04-23T11:48:23Z"],["dc.date.issued","2017"],["dc.description.abstract","Background: Endovascular treatment (EVT) has been shown to significantly improve functional outcome in patients with acute large cerebral vessel occlusions. To date, no evidence-based recommendations on blood pressure management after successful EVT exist. Previous studies showed an association between high pre-EVT systolic blood pressure (SBP) and functional outcome, but do not answer the question on how to manage blood pressure after successful recanalization. The purpose of this study was to determine the role of blood pressure measurements as a predictor for early functional outcome in patients with successful EVT. Methods: Prospectively derived data from patients with acute large vessel occlusion within the anterior circulation and EVT was analyzed in this monocentric study. Mean systolic- and maximum SBP as well as SBP-peaks have been obtained for the first 24 h after successful EVT. Predictive value of SBP for discharge modified Rankin Scale (mRS) ≤2 has been investigated using logistic regression models. Results: From 168 patients with successful EVT, 74 (44%) had a favorable outcome with an mRS ≤2. Mean- (127 vs. 131 mm Hg, p = 0.035) and maximum SBP (157 vs. 169 mm Hg, p < 0.001) as well as the number of SBP-peaks (0 vs. 1.5, p = 0.004) were lower in patients with favorable outcomes. Multivariable logistic regression showed high mean- and maximum SBP to predict unfavorable outcomes. Cutoff mean SBP was 141 mm Hg and maximum SBP 159 mm Hg. Conclusions: High SBP in the first 24 h after recanalization of acute anterior cerebral vessel occlusions is associated with unfavorable functional outcome. Interventional studies are needed to determine the role of SBP management as a modifiable parameter in the early phase after successful EVT."],["dc.identifier.doi","10.1159/000484720"],["dc.identifier.gro","3142065"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13499"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.status","final"],["dc.relation.issn","1015-9770"],["dc.title","High Systolic Blood Pressure after Successful Endovascular Treatment Affects Early Functional Outcome in Acute Ischemic Stroke"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PloS one"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2018-01-08T17:09:39Z"],["dc.date.available","2018-01-08T17:09:39Z"],["dc.date.issued","2017"],["dc.description.abstract","Identification of patients requiring decompressive hemicraniectomy (DH) after endovascular therapy (EVT) is crucial as clinical signs are not reliable and early DH has been shown to improve clinical outcome. The aim of our study was to identify imaging-based scores to predict the risk for space occupying ischemic stroke and DH."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1371/journal.pone.0173737"],["dc.identifier.pmid","28282456"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14394"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11572"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Early computed tomography-based scores to predict decompressive hemicraniectomy after endovascular therapy in acute ischemic stroke"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","International Journal of Stroke"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Mpotsaris, Anastasios"],["dc.contributor.author","Zeyen, P."],["dc.contributor.author","Psychogios, Marios Nikos"],["dc.contributor.author","Kowoll, Annika"],["dc.contributor.author","Maurer, C."],["dc.contributor.author","Joachimski, F."],["dc.contributor.author","Wasser, Katrin"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Kabbasch, Christoph"],["dc.contributor.author","Berlis, A."],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Liebig, Thomas"],["dc.contributor.author","Weber, W."],["dc.date.accessioned","2018-11-07T09:58:45Z"],["dc.date.available","2018-11-07T09:58:45Z"],["dc.date.issued","2015"],["dc.format.extent","27"],["dc.identifier.isi","000359304000058"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37432"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.publisher.place","Hoboken"],["dc.relation.issn","1747-4949"],["dc.relation.issn","1747-4930"],["dc.title","Emergency stenting of the internal carotid artery in combination with anterior circulation thrombectomy in acute ischemic stroke - A retrospective multicenter study"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1253"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Journal of NeuroInterventional Surgery"],["dc.bibliographiccitation.lastpage","1257"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Leyhe, Johanna Rosemarie"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Hesse, Amélie Carolina"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Papageorgiou, Ismini"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2020-12-10T18:37:18Z"],["dc.date.available","2020-12-10T18:37:18Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1136/neurintsurg-2016-012866"],["dc.identifier.eissn","1759-8486"],["dc.identifier.issn","1759-8478"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76904"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Latest generation of flat detector CT as a peri-interventional diagnostic tool: a comparative study with multidetector CT"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","525"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of NeuroInterventional Surgery"],["dc.bibliographiccitation.lastpage","529"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Hesse, Amélie Carolina"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Kemmling, André"],["dc.contributor.author","Zapf, Antonia"],["dc.contributor.author","Hokamp, Nils Große"],["dc.contributor.author","Frischmuth, Isabelle"],["dc.contributor.author","Maier, Ilko"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Buhk, Jan-Hendrik"],["dc.contributor.author","Tran, Julia"],["dc.contributor.author","Fiehler, Jens"],["dc.contributor.author","Mpotsaris, Anastasios"],["dc.contributor.author","Schramm, Peter"],["dc.contributor.author","Berlis, Ansgar"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2020-12-10T18:37:18Z"],["dc.date.available","2020-12-10T18:37:18Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1136/neurintsurg-2017-013394"],["dc.identifier.eissn","1759-8486"],["dc.identifier.issn","1759-8478"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76905"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Comparing different thrombectomy techniques in five large-volume centers: a ‘real world’ observational study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","300"],["dc.bibliographiccitation.journal","Journal of the neurological sciences"],["dc.bibliographiccitation.lastpage","304"],["dc.bibliographiccitation.volume","372"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Kleinknecht, Alexander"],["dc.contributor.author","Wasser, Katrin"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2018-01-09T10:18:58Z"],["dc.date.available","2018-01-09T10:18:58Z"],["dc.date.issued","2017"],["dc.description.abstract","Although endovascular treatment for proximal cerebral vessel occlusion is very effective, it remains controversial if intravenous thrombolysis (IVT) prior to endovascular treatment is superior compared to endovascular treatment alone. In this study we compared functional outcomes and recanalization rates of endovascularly treated stroke patients with and without bridging IVT."],["dc.identifier.doi","10.1016/j.jns.2016.12.001"],["dc.identifier.pmid","28017233"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11576"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1878-5883"],["dc.title","Bridging-therapy with intravenous recombinant tissue plasminogen activator improves functional outcome in patients with endovascular treatment in acute stroke"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neurology"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Schramm, Katarina"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2022-01-11T14:06:14Z"],["dc.date.available","2022-01-11T14:06:14Z"],["dc.date.issued","2021"],["dc.description.abstract","Background: Patients with large vessel occlusion stroke (LVOS) eligible for mechanical thrombectomy (MT) are at risk for stroke- and non-stroke-related complications resulting in the need for tracheostomy (TS). Risk factors for TS have not yet been systematically investigated in this subgroup of stroke patients. Methods: Prospectively derived data from patients with LVOS and MT being treated in a large, academic neurological ICU (neuro-ICU) between 2014 and 2019 were analyzed in this single-center study. Predictive value of peri- and post-interventional factors, stroke imaging, and pre-stroke medical history were investigated for their potential to predict tracheostomy during ICU stay using logistic regression models. Results: From 635 LVOS-patients treated with MT, 40 (6.3%) underwent tracheostomy during their neuro-ICU stay. Patients receiving tracheostomy were younger [71 (62–75) vs. 77 (66–83), p < 0.001], had a higher National Institute of Health Stroke Scale (NIHSS) at baseline [18 (15–20) vs. 15 (10–19), p = 0.009] as well as higher rates of hospital acquired pneumonia (HAP) [39 (97.5%) vs. 224 (37.6%), p < 0.001], failed extubation [15 (37.5%) vs. 19 (3.2%), p < 0.001], sepsis [11 (27.5%) vs. 16 (2.7%), p < 0.001], symptomatic intracerebral hemorrhage [5 (12.5%) vs. 22 (3.9%), p = 0.026] and decompressive hemicraniectomy (DH) [19 (51.4%) vs. 21 (3.8%), p < 0.001]. In multivariate logistic regression analysis, HAP (OR 21.26 (CI 2.76–163.56), p = 0.003], Sepsis [OR 5.39 (1.71–16.91), p = 0.004], failed extubation [OR 8.41 (3.09–22.93), p < 0.001] and DH [OR 9.94 (3.92–25.21), p < 0.001] remained as strongest predictors for TS. Patients with longer periods from admission to TS had longer ICU length of stay ( r = 0.384, p = 0.03). There was no association between the time from admission to TS and clinical outcome (NIHSS at discharge: r = 0.125, p = 0.461; mRS at 90 days: r = −0.179, p = 0.403). Conclusions: Patients with LVOS undergoing MT are at high risk to require TS if extubation after the intervention fails, DH is needed, and severe infectious complications occur in the acute phase after ischemic stroke. These factors are likely to be useful for the indication and timing of TS to reduce overall sedation and shorten ICU length of stay."],["dc.description.abstract","Background: Patients with large vessel occlusion stroke (LVOS) eligible for mechanical thrombectomy (MT) are at risk for stroke- and non-stroke-related complications resulting in the need for tracheostomy (TS). Risk factors for TS have not yet been systematically investigated in this subgroup of stroke patients. Methods: Prospectively derived data from patients with LVOS and MT being treated in a large, academic neurological ICU (neuro-ICU) between 2014 and 2019 were analyzed in this single-center study. Predictive value of peri- and post-interventional factors, stroke imaging, and pre-stroke medical history were investigated for their potential to predict tracheostomy during ICU stay using logistic regression models. Results: From 635 LVOS-patients treated with MT, 40 (6.3%) underwent tracheostomy during their neuro-ICU stay. Patients receiving tracheostomy were younger [71 (62–75) vs. 77 (66–83), p < 0.001], had a higher National Institute of Health Stroke Scale (NIHSS) at baseline [18 (15–20) vs. 15 (10–19), p = 0.009] as well as higher rates of hospital acquired pneumonia (HAP) [39 (97.5%) vs. 224 (37.6%), p < 0.001], failed extubation [15 (37.5%) vs. 19 (3.2%), p < 0.001], sepsis [11 (27.5%) vs. 16 (2.7%), p < 0.001], symptomatic intracerebral hemorrhage [5 (12.5%) vs. 22 (3.9%), p = 0.026] and decompressive hemicraniectomy (DH) [19 (51.4%) vs. 21 (3.8%), p < 0.001]. In multivariate logistic regression analysis, HAP (OR 21.26 (CI 2.76–163.56), p = 0.003], Sepsis [OR 5.39 (1.71–16.91), p = 0.004], failed extubation [OR 8.41 (3.09–22.93), p < 0.001] and DH [OR 9.94 (3.92–25.21), p < 0.001] remained as strongest predictors for TS. Patients with longer periods from admission to TS had longer ICU length of stay ( r = 0.384, p = 0.03). There was no association between the time from admission to TS and clinical outcome (NIHSS at discharge: r = 0.125, p = 0.461; mRS at 90 days: r = −0.179, p = 0.403). Conclusions: Patients with LVOS undergoing MT are at high risk to require TS if extubation after the intervention fails, DH is needed, and severe infectious complications occur in the acute phase after ischemic stroke. These factors are likely to be useful for the indication and timing of TS to reduce overall sedation and shorten ICU length of stay."],["dc.identifier.doi","10.3389/fneur.2021.728624"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97862"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-2295"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Predictive Factors for the Need of Tracheostomy in Patients With Large Vessel Occlusion Stroke Being Treated With Mechanical Thrombectomy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2171"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Kirsch, Mareike"],["dc.contributor.author","Maier, Ilko"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Riedel, Christian Heiner"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Brehm, Alex"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","von Arnim, Christine A. F."],["dc.date.accessioned","2021-07-05T15:00:47Z"],["dc.date.available","2021-07-05T15:00:47Z"],["dc.date.issued","2021"],["dc.description.abstract","Frailty is associated with an increased risk of adverse health-care outcomes in elderly patients. The Hospital Frailty Risk Score (HFRS) has been developed and proven to be capable of identifying patients which are at high risk of adverse outcomes. We aimed to investigate whether frail patients also face adverse outcomes after experiencing an endovascular treated large vessel occlusion stroke (LVOS). In this retrospective observational cohort study, we analyzed patients ≥ 65 years that were admitted during 2015–2019 with LVOS and endovascular treatment. Primary outcomes were mortality and the modified Rankin Scale (mRS) after three months. Regression models were used to determine the impact of frailty. A total of 318 patients were included in the cohort. The median HFRS was 1.6 (IQR 4.8). A total of 238 (75.1%) patients fulfilled the criteria for a low-frailty risk with a HFRS < 5.72 (22.7%) for moderate-frailty risk with an HFRS from 5–15 and 7 (2.2%) patients for a high-frailty risk. Multivariate regression analyses revealed that the HFRS was associated with an increased mortality after 90 days (CI (95%) 1.001 to 1.236; OR 1.112) and a worse mRS (CI (95%) 1.004 to 1.270; OR 1.129). We identified frailty as an impact factor on functional outcome and mortality in patients undergoing thrombectomy in LVOS."],["dc.description.abstract","Frailty is associated with an increased risk of adverse health-care outcomes in elderly patients. The Hospital Frailty Risk Score (HFRS) has been developed and proven to be capable of identifying patients which are at high risk of adverse outcomes. We aimed to investigate whether frail patients also face adverse outcomes after experiencing an endovascular treated large vessel occlusion stroke (LVOS). In this retrospective observational cohort study, we analyzed patients ≥ 65 years that were admitted during 2015–2019 with LVOS and endovascular treatment. Primary outcomes were mortality and the modified Rankin Scale (mRS) after three months. Regression models were used to determine the impact of frailty. A total of 318 patients were included in the cohort. The median HFRS was 1.6 (IQR 4.8). A total of 238 (75.1%) patients fulfilled the criteria for a low-frailty risk with a HFRS < 5.72 (22.7%) for moderate-frailty risk with an HFRS from 5–15 and 7 (2.2%) patients for a high-frailty risk. Multivariate regression analyses revealed that the HFRS was associated with an increased mortality after 90 days (CI (95%) 1.001 to 1.236; OR 1.112) and a worse mRS (CI (95%) 1.004 to 1.270; OR 1.129). We identified frailty as an impact factor on functional outcome and mortality in patients undergoing thrombectomy in LVOS."],["dc.identifier.doi","10.3390/jcm10102171"],["dc.identifier.pii","jcm10102171"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87901"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Analysis of Frailty in Geriatric Patients as a Prognostic Factor in Endovascular Treated Patients with Large Vessel Occlusion Strokes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]