Psychogios, Marios-Nikos

[["dc.bibliographiccitation.artnumber","100114"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Thrombosis and Circulation"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Amelung, Nadine"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios Nikos"],["dc.date.accessioned","2019-07-10T08:12:03Z"],["dc.date.available","2019-07-10T08:12:03Z"],["dc.date.issued","2016"],["dc.description.abstract","Flat panel detectors have revolutionized tomographic imaging in the angio suite. Recent developments in hardware and software have improved soft tissue resolution and acquisition time even further, enabling soft-tissue and perfusion imaging within the angio suite. The so called “one-stop-shop” stroke imaging with flat panel detector computed tomography (FDCT) will significantly improve door to groin times and probably have an impact on patient outcome. In the presented case a patient underwent multidetector CT (MDCT) to exclude hemorrhage, then MDCT angiography (MDCTA) to identify the occluded vessel, and MDCT perfusion (MDCTP) for penumbra imaging. Patient’s symptoms significantly improved during transport to the angiography suite. Thus, prior to intervention, multimodal FDCT with vessel and perfusion imaging was acquired and ultimately led to cancelation of the interventional therapy. In this clinical scenario, multimodal FDCT imaging can provide quick answers and eliminate the risk of an invasive angiography in cases of reperfusion prior to mechanical thrombectomy."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2016"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14210"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60849"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","Flatdetector; Stroke; imaging; Onestopshop; Rotationa; Angiography; Thrombectomy; Thrombolysis; Flatdetector; CTangiography"],["dc.subject.ddc","610"],["dc.title","Evaluation of an Acute Stroke Patient with Flat Detector CT Prior to Mechanical Thrombectomy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","67"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Imaging"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Hadjidemetriou, Stathis"],["dc.contributor.author","Psychogios, Marios"],["dc.contributor.author","Lingor, Paul"],["dc.contributor.author","von Eckardstein, Kajetan"],["dc.contributor.author","Papageorgiou, Ismini"],["dc.date.accessioned","2020-12-10T18:47:13Z"],["dc.date.available","2020-12-10T18:47:13Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.3390/jimaging3040067"],["dc.identifier.eissn","2313-433X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78687"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.publisher","MDPI"],["dc.relation.eissn","2313-433X"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Restoration of Bi-Contrast MRI Data for Intensity Uniformity with Bayesian Coring of Co-Occurrence Statistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neurology"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Hofer, Sabine"],["dc.contributor.author","Eggert, Eva"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Frahm, Jens"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2021-04-14T08:31:11Z"],["dc.date.available","2021-04-14T08:31:11Z"],["dc.date.issued","2020"],["dc.description.abstract","Age-related degeneration of the cervical spinal column is the most common cause of spinal cord lesions. T1 mapping has been shown to indicate the grade and site of spinal cord compression in low grade spinal canal stenosis (SCS). Aim of our study was to further investigate the diagnostic potential of a novel T1 mapping method at 0.75 mm resolution and 4 s acquisition time in 31 patients with various grades of degenerative cervical SCS. T1 mapping was performed in axial sections of the stenosis as well as above and below. Included subjects received standard T2-weighted MRI of the cervical spine (including SCS-grading 0-III), electrophysiological, and clinical examination. We found that patients with cervical SCS showed a significant difference in T1 relaxation times within the stenosis (727 ± 66 ms, mean ± standard deviation) in comparison to non-stenotic segments above (854 ± 104 ms, p \\u0026lt; 0.001) and below (893 ± 137 ms, p \\u0026lt; 0.001). There was no difference in mean T1 in non-stenotic segments in patients (p = 0.232) or between segments in controls (p = 0.272). Mean difference of the T1 relaxation times was significantly higher in grade III stenosis (234 ± 45) vs. in grade II stenosis (176 ± 45, p = 0.037) vs. in grade I stenosis (90 ± 87 ms, p = 0.010). A higher difference in T1 relaxation time was associated with a central efferent conduction deficit. In conclusion, T1 mapping may be useful as a tool for SCS quantification in all grades of SCS, including high-grade stenosis with myelopathy signal in conventional T2-weighted imaging."],["dc.identifier.doi","10.3389/fneur.2020.574604"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83508"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-2295"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","T1 Mapping Quantifies Spinal Cord Compression in Patients With Various Degrees of Cervical Spinal Canal Stenosis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neurology"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Malinova, Vesna"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Mielke, Dorothee"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Rohde, Veit"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2021-04-14T08:25:15Z"],["dc.date.available","2021-04-14T08:25:15Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s12883-020-01792-3"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17436"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81571"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","1471-2377"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Angioplasty with the scepter C dual lumen balloon catheter and postprocedural result evaluation in patients with subarachnoid hemorrhage related vasospasms"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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.artnumber","1391843"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Stroke Research and Treatment"],["dc.bibliographiccitation.lastpage","6"],["dc.bibliographiccitation.volume","2017"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Karch, André"],["dc.contributor.author","Weber-Krueger, Mark"],["dc.contributor.author","Mikolajczyk, Rafael T."],["dc.contributor.author","Stahrenberg, Raoul"],["dc.contributor.author","Gröschel, Klaus"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Wachter, Rolf"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2018-04-23T11:47:07Z"],["dc.date.available","2018-04-23T11:47:07Z"],["dc.date.issued","2017"],["dc.description.abstract","Background. Atrial fibrillation (AF) is an important cause of embolic stroke of undetermined source (ESUS). Imaging-patterns like multiple infarcts, simultaneous involvement of different circulations, infarcts of different ages, and isolated cortical infarcts are likely to indicate cardioembolic stroke. The aim of our study was to evaluate the association between embolic stroke patterns, ESUS, and the new diagnosis of AF. Methods. Stroke etiology and imaging characteristics from patients included in the Find-AF study were obtained. Embolic stroke patterns in CT- or MR-imaging were correlated with the diagnosis of ESUS as well as the short- (on baseline ECG and during 7-day Holter) and long-term (12-month follow-up) diagnosis of AF. Results. From 281 patients included in the Find-AF study, 127 (45.2%) patients with ischemic lesions detected in CT or MRI were included. 26 (20.5%) of these patients had ESUS. At least one embolic stroke pattern was detected in 67 (52.7%) patients. Embolic stroke patterns were not associated with ESUS (OR 1.57, 0.65–3.79, ), the short-term (OR 0.64, 0.26–1.58, ) or long-term diagnosis of AF (OR 0.72, 0.31–1.68, ). Conclusions. This secondary data analysis of the Find-AF study could not provide evidence for an association between embolic stroke patterns, ESUS, and the new diagnosis of AF."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1155/2017/1391843"],["dc.identifier.gro","3142074"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14531"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13300"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","2090-8105"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Association between Embolic Stroke Patterns, ESUS Etiology, and New Diagnosis of Atrial Fibrillation: A Secondary Data Analysis of the Find-AF Trial"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0202592"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Scalzo, Fabien"],["dc.contributor.author","Leyhe, Johanna R."],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Liebeskind, David S."],["dc.date.accessioned","2019-07-09T11:46:07Z"],["dc.date.available","2019-07-09T11:46:07Z"],["dc.date.issued","2018"],["dc.description.abstract","BACKGROUND: The pivotal impact of collateral circulation on outcomes in endovascular therapy has fueled the development of numerous CTA collateral scales, yet synchronized validation with conventional angiography has never occurred. We validated multiphase flat-detector CTA (mpFDCTA) for collateral imaging in patients undergoing endovascular stroke treatment. MATERIALS AND METHODS: Consecutive acute ischemic stroke patient data, including mpFDCTA shortly followed by digital subtraction angiography (DSA), in the setting of acute ICA- or MCA-occlusions were analyzed. An independent core lab scored mpFDCTA with an established collateral scale and separately graded American Society of Interventional and Therapeutic Neuroradiology (ASITN) collateral score on DSA, blind to all other data. RESULTS: 24 consecutive cases (age 76.7 ± 7.3 years; 58.3% women; baseline NIHSS median 17 (4-23)) of acute ICA- or MCA-occlusion were analyzed. Time from mpFDCTA to intracranial DSA was 23.04 ± 7.6 minutes. Median mpFDCTA collateral score was 3 (0-5) and median DSA ASITN collateral score was 2 (0-3), including the full range of potential collateral grades. mpFDCTA and ASITN collateral score were strongly correlated (r = 0.86, p<0.001). mpFDCTA provided more complete collateral data compared to selective DSA injections in cases of ICA-occlusion. ROC analyses for prediction of clinical outcomes revealed an AUC of 0.76 for mpFDCTA- and 0.70 for DSA ASITN collaterals. CONCLUSIONS: mpFDCTA in the angiography suite provides a validated measure of collaterals, offering distinct advantages over conventional angiography. Direct patient transfer to the angiography suite and mpFDCTA collateral grading provides a novel and reliable triage paradigm for acute ischemic stroke."],["dc.identifier.doi","10.1371/journal.pone.0202592"],["dc.identifier.pmid","30142167"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15394"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59377"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15695 but duplicate"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Validation of collateral scoring on flat-detector multiphase CT angiography in patients with acute ischemic stroke"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1811"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","European Radiology"],["dc.bibliographiccitation.lastpage","1819"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Xyda, Argyro"],["dc.contributor.author","Haberland, Ulrike"],["dc.contributor.author","Klotz, Ernst"],["dc.contributor.author","Bock, Hans Christoph"],["dc.contributor.author","Jung, Klaus"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Schramm, Ramona"],["dc.contributor.author","Psychogios, Marios Nikos"],["dc.contributor.author","Erb, Gunter"],["dc.contributor.author","Schramm, Peter"],["dc.date.accessioned","2018-11-07T08:52:58Z"],["dc.date.available","2018-11-07T08:52:58Z"],["dc.date.issued","2011"],["dc.description.abstract","Validation of the feasibility and efficacy of volume perfusion computed tomography (VPCT) in the preoperative assessment of cerebral gliomas by applying a 128-slice CT covering the entire tumour. Forty-six patients (25 men, 21 women; mean age 52.8 years) with cerebral gliomas were evaluated with VPCT. Two readers independently evaluated VPCT data, drawing volumes of interest (VOIs) around the tumour according to maximum intensity projection volumes, which were mapped automatically onto the cerebral blood volume (CBV), flow (CBF) and permeability (Ktrans) perfusion datasets. As control, a second VOI was placed in the contralateral healthy cortex. Correlation among perfusion parameters, tumour grade, hemisphere and VOIs was assessed. The diagnostic power of perfusion parameters was analysed by receiver operating characteristics curve analyses. VPCT was feasible in the assessment of the entire tumour extent. Mean values of Ktrans, CBV, CBF in high-grade gliomas were significantly higher compared with low-grade (p < 0.01). Ktrans demonstrated the highest diagnostic (97% sensitivity), positive (100%) and negative (94%) prognostic values. VPCT was feasible in all subjects. All areas of different perfusion characteristics are depicted and quantified in colour-coded 3D maps. The derived parameters correlate well with tumour histopathology, differentiating low- from high-grade gliomas."],["dc.identifier.doi","10.1007/s00330-011-2150-2"],["dc.identifier.isi","000293640500002"],["dc.identifier.pmid","21573969"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7113"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22293"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","0938-7994"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Brain volume perfusion CT performed with 128-detector row CT system in patients with cerebral gliomas: A feasibility study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neurology"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Daniel, Behme"],["dc.contributor.author","Henrik, Sack"],["dc.contributor.author","Ioannis, Tsogkas"],["dc.contributor.author","Veit, Rohde"],["dc.contributor.author","Marios-Nikos, Psychogios"],["dc.date.accessioned","2020-12-10T18:38:53Z"],["dc.date.available","2020-12-10T18:38:53Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s12883-020-1623-9"],["dc.identifier.eissn","1471-2377"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17147"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77469"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.haserratum","/handle/2/81977"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","SMART coils for intracranial aneurysm repair – a single center experience"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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"]]