Nomogram to predict haemorrhagic transformation after stroke thrombolysis: a combined brain imaging and clinical study

A Novel Nomogram to Predict Symptomatic Intracranial Hemorrhage in Ischemic Stroke Patients After Intravenous Thrombolysis

“…Our study's findings were consistent with previous research, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] as we also identified NIHSS scores as predictors for sICH in patients undergoing rt-PA intravenous thrombolysis. This finding helped explain why patients with posterior circulation stroke (PCS) experienced a lower risk of sICH after intravenous thrombolysis when compared to those with anterior circulation stroke (ACS).…”

“…However, many of these models transform continuous variables into categorical ones, leading to potential information loss. [6][7][8][9]11 Although several prognostic nomograms have been developed for sICH events in AIS patients undergoing thrombolysis, [12][13][14][15][16][17][18][19][20] some limitations remain. Firstly, certain examinations are either unavailable in most medical centers or require a long time for the results to be obtained, [12][13][14][15][16] limiting their widespread applicability.…”

“…[6][7][8][9]11 Although several prognostic nomograms have been developed for sICH events in AIS patients undergoing thrombolysis, [12][13][14][15][16][17][18][19][20] some limitations remain. Firstly, certain examinations are either unavailable in most medical centers or require a long time for the results to be obtained, [12][13][14][15][16] limiting their widespread applicability. Secondly, many studies overlook the impact of baseline neuroimaging before IVT.…”

Risk factors of hemorrhagic transformation in acute ischaemic stroke: A systematic review and meta-analysis

“…After full-text screening, 107 studies were included based on the search results, and another 13 relevant studies were identified via manual searching. In total, 120 studies ( 5 , 6 , 16 – 19 , 29 – 142 ) were included in the meta-analysis.…”

“…Improved imaging technology in recent years, particularly the advent of CT perfusion, have shown great potential to enhance patient selection by more accurately characterizing infarct core and penumbra. For example, CT perfusion-based predictors including those measuring infarct core volume ( 19 , 53 , 183 , 184 ) and blood-brain-barrier permeability ( 6 , 142 , 185 – 188 ) haven been reported in previous work, and novel CT perfusion-based parameters such as net water uptake ( 189 ) continue to emerge. These techniques have largely emerged in tandem with EVT and indeed have enabled its application in the extended therapeutic window, meaning that the majority of published randomized trial data charactering HT has EVT as a focus.…”