https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37272 Wed 16 Sep 2020 14:03:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12977 Wed 11 Apr 2018 13:41:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43295 Wed 07 Feb 2024 17:18:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29149 Wed 04 Sep 2019 09:54:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54333 1.8. The primary outcome was good functional outcome at 90 days, defined as a modified Rankin Scale (mRS) score 0-2. follow-up infarct volume, core expansion and penumbral salvage volumes were secondary outcomes. Of 572 anterior circulation EVT patients, CTP source image data required to generate objective maps were available in 170, and a Target Mismatch was present in 151 (89%). The rate of 90-day good functional outcome was similar between Target Mismatch (53%) and Large Core Non-Mismatch groups (46%, p = 0.629). Median follow-up infarct volume in the Large Core Non-Mismatch group (104ml [IQR 25ml-189ml]) was larger than that in the Target Mismatch patients (16ml [8ml-47ml], p<0.001). Despite a lack of formal CTP selection criteria, the majority of patients treated at our centres had a Target Mismatch. Patients without Target Mismatch had larger follow-up infarct volumes, but the functional recovery rate was similar to that in Target Mismatch patients. Infarct volumes should be included as objective assessment criteria in the evaluation of the efficacy of EVT in non-Target Mismatch patients.]]> Tue 20 Feb 2024 16:05:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8882 Sat 24 Mar 2018 08:40:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12378 Sat 24 Mar 2018 08:17:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52709 19.8 km·h-1] and average acceleration. Linear mixed models and effect sizes identified differences between competition levels. No differences existed between competition levels for any total match physical performance metric. Peak total and high-speed distances demands were similar between competitions for all moving average durations. Interestingly, peak average acceleration demands were lower (SMD = 0.63–0.69) in the youth players across all moving average durations. The data suggest that the development of acceleration and repeat effort capacities is crucial in youth players for them to transition into professional competition.]]> Mon 23 Oct 2023 16:12:48 AEDT ]]>