Cerebral Small Vessel Disease and Functional Outcome Prediction after Intracerebral Haemorrhage

OBJECTIVE: To determine whether CT-based cerebral small vessel disease (SVD) biomarkers are associated with 6-month functional outcome after intracerebral hemorrhage (ICH), and whether these biomarkers improve the performance of pre-existing ICH score. METHODS: We included 864 patients with acute ICH from a multicentre, hospital-based prospective cohort study. We evaluated CT-based SVD biomarkers (white matter hypodensities [WMH]; lacunes; brain atrophy; and a composite SVD burden score) and their associations with poor 6-month functional outcome (modified Rankin Scale [mRS] score >2). The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow test were used to assess discrimination and calibration of the ICH score with and without SVD biomarkers. RESULTS: In multivariable models (adjusted for ICH score components), WMH presence (OR 1.52, 95%CI 1.12-2.06), cortical atrophy presence (OR 1.80, 95%CI 1.19-2.73), deep atrophy presence (OR 1.66, 95%CI 1.17-2.34), and severe atrophy (either deep or cortical) (OR 1.94, 95%CI 1.36-2.74) were independently associated with poor functional outcome. For the ICH score, the AUROC was 0.71 (95%CI 0.68-0.74). Adding SVD markers did not significantly improve ICH score discrimination; for the best model (adding severe atrophy) the AUROC was 0.73 (95%CI 0.69-0.76). These results were confirmed when considering lobar and non-lobar ICH, separately. CONCLUSIONS: The ICH score has acceptable discrimination for predicting 6-month functional outcome after ICH. CT biomarkers of SVD are associated with functional outcome but adding them does not significantly improve ICH score discrimination

Baseline factors associated with early and late death in intracerebral haemorrhage survivors

Background and purpose: The aim of this study was to determine whether early and late death are associated with different baseline factors in intracerebral haemorrhage (ICH) survivors. Methods: This was a secondary analysis of the multicentre prospective observational CROMIS‐2 ICH study. Death was defined as ‘early’ if occurring within 6 months of study entry and ‘late’ if occurring after this time point. Results: In our cohort (n = 1094), there were 306 deaths (per 100 patient‐years: absolute event rate, 11.7; 95% confidence intervals, 10.5–13.1); 156 were ‘early’ and 150 ‘late’. In multivariable analyses, early death was independently associated with age [per year increase; hazard ratio (HR), 1.05, P = 0.003], history of hypertension (HR, 1.89, P = 0.038), pre‐event modified Rankin scale score (per point increase; HR, 1.41, P < 0.0001), admission National Institutes of Health Stroke Scale score (per point increase; HR, 1.11, P < 0.0001) and haemorrhage volume >60 mL (HR, 4.08, P < 0.0001). Late death showed independent associations with age (per year increase; HR, 1.04, P = 0.003), pre‐event modified Rankin scale score (per point increase; HR, 1.42, P = 0.001), prior anticoagulant use (HR, 2.13, P = 0.028) and the presence of intraventricular extension (HR, 1.73, P = 0.033) in multivariable analyses. In further analyses where time was treated as continuous (rather than dichotomized), the HR of previous cerebral ischaemic events increased with time, whereas HRs for Glasgow Coma Scale score, National Institutes of Health Stroke Scale score and ICH volume decreased over time. Conclusions: We provide new evidence that not all baseline factors associated with early mortality after ICH are associated with mortality after 6 months and that the effects of baseline variables change over time. Our findings could help design better prognostic scores for later death after ICH

The development and validation of a low-cost trans perineal (TP) prostate biopsy simulator from 3Dprinted mould: improving trainees’ confidence and cognitive targeting skills

Introduction & Objectives To develop a simulation modality for trans perineal (TP) prostate biopsy that can be utilised in training. The aim of this study is to create a novel and low-cost model that has face, content and construct validity and high educational value. Materials & Methods This research developed a TP prostate biopsy simulation model using 3D-printed moulds and utilisation of tissue mimicking materials. Important regions including the anterior, mid and posterior zones were coded with different colours. Ultrasound - visible abnormal lesions were embedded in the prostate phantom. Expert, amateurs and biopsy- naïve participants in TP prostate biopsies were prospectively recruited. Skills that were deemed essential for TP prostate biopsy were identified through the consensus of six experts (>125 independent cases each). These skills were incorporated into tasks that were subsequently used to rate the performances of the participants. This included accuracy and timing of both systematic and target biopsies. Immediate feedback can be obtained based on the colour of biopsy cores taken. A survey was distributed after usage of simulator to evaluate its realism and educational value. Results This research developed a low cost (<£7) TP prostate biopsy bench model simulator for training and education using 3D- printed moulds. We were able to prove face, content and construct validity in this simulator. There was a significant difference (p= 0.02) in the accuracy of systematic 12-core ultrasound-guided biopsies between expert and novice groups. There is also significant difference (p=0.01) in the ability of expert group to accurately identify the target lesion on ultrasound. Participants rated the overall realism of the simulator as 4.57 out of 5 (range 3 – 5). 100% of the experts felt that there is benefit in introducing this simulator in TP prostate biopsy training. 85.7% of the participants strongly agree that the simulator improved their confidence in performing this procedure. Conclusions There is value in integrating this proof-of-concept TP prostate biopsy simulator into training. Its low cost makes its introduction feasible. It has highly rated educational value and was shown to have face, content, and construct validity. There is potential in improving patient safety and diagnostic accuracy with this simulator

Cerebral Small Vessel Disease and Functional Outcome Prediction after Intracerebral Haemorrhage

OBJECTIVE To determine whether CT-based cerebral small vessel disease (SVD) biomarkers are associated with 6-month functional outcome after intracerebral hemorrhage (ICH) and whether these biomarkers improve the performance of the preexisting ICH prediction score. METHODS We included 864 patients with acute ICH from a multicenter, hospital-based prospective cohort study. We evaluated CT-based SVD biomarkers (white matter hypodensities [WMH], lacunes, brain atrophy, and a composite SVD burden score) and their associations with poor 6-month functional outcome (modified Rankin Scale score >2). The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow test were used to assess discrimination and calibration of the ICH score with and without SVD biomarkers. RESULTS In multivariable models (adjusted for ICH score components), WMH presence (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.12-2.06), cortical atrophy presence (OR 1.80, 95% CI 1.19-2.73), deep atrophy presence (OR 1.66, 95% CI 1.17-2.34), and severe atrophy (either deep or cortical) (OR 1.94, 95% CI 1.36-2.74) were independently associated with poor functional outcome. For the revised ICH score, the AUROC was 0.71 (95% CI 0.68-0.74). Adding SVD markers did not significantly improve ICH score discrimination; for the best model (adding severe atrophy), the AUROC was 0.73 (95% CI 0.69-0.76). These results were confirmed when lobar and nonlobar ICH were considered separately. CONCLUSIONS The ICH score has acceptable discrimination for predicting 6-month functional outcome after ICH. CT biomarkers of SVD are associated with functional outcome, but adding them does not significantly improve ICH score discrimination. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov Identifier: NCT02513316