Examining outcomes following thrombolysis in an increasingly older and dependent stroke population.

BACKGROUND: Thrombolysis for acute ischaemic stroke (AIS) patients aged ˜80 years is evidence based, although its use in previously dependent patients is controversial. METHODS: Data from 831 thrombolysed AIS patients in our centre from 2009-2017 were used to compare demographic trends and outcomes (haemorrhage, mortality, three-month independence) in patients aged <80 and ˜80 years and with prior dependency. Comparison with UK and world registry data regarding age and pre-stroke dependency was made. RESULTS: The percentage of treated patients aged ˜80 years increased year-on-year, doubling from 25% to 50% (p <0.01), with increasing average age and pre-stroke dependency in world centres. Patients ˜80 years had higher (p <0.001) stroke severity, symptomatic intracerebral haemorrhage (5% vs. 1.5%), mortality (35% vs. 13%) and lower three month independent survival (24% vs. 60%). Patients with pre-stroke dependency had especially higher three month mortality (57-71%, OR 3.75 [95% CI 1.97-7.15]) in both age groups. CONCLUSION: Patients aged ˜80 years and with dependency increasingly receive thrombolysis. Given poorer outcomes thrombolysis trials are needed in pre-stroke dependent patients.

Clock Drawing Test in acute stroke and its relationship with long-term functional and cognitive outcomes.

Objective: The Clock Drawing Test (CDT) is commonly used as a screening tool for the assessment of dementia. The association between the CDT in acute stroke and long-term functional and cognitive outcomes in this population is unknown. The present prospective study is the first to examine if CDT scores in the acute stage after stroke are related to long-term outcomes and to compare the predictive ability of two scoring systems in a large sample of stroke patients. Method: A total of 340 patients admitted to an acute stroke unit were included in the present study. Separate stepwise multiple linear regression analyses were performed with eight independent variables (demographic/pre-stroke variables - age, sex, premorbid functioning; stroke-related variables - stroke severity, localization; cognitive variables - Orientation Test, CDT [2 scoring systems]), and four dependent variables administered one year post-stroke (Barthel Index, modified Rankin Scale, Reintegration to Normal Living index, Global Deterioration Scale). Results: Although both CDT scoring methods were related to all long-term outcome measures, the more comprehensive scoring system was the only baseline variable that significantly explained the variance in outcome measures in all four multiple regression models. Conclusion: Performance on the CDT in acute stroke is related to long-term outcomes including patients' degree of independence in performing activities of daily living, the degree to which they achieved reintegration into daily occupations, and the degree of cognitive decline observed one-year post-stroke. Future studies are needed to clarify the nature of the relationship between different CDT scoring systems and post-stroke outcomes.

Tonic spasms and short myelitis in an elderly woman--unique onset of neuromyelitis optica.

Neuromyelitis optica typically presents at a median age of 40-50 years. The myelitis is usually of acute onset, long (>3 vertebral segments) and causes severe sensorimotor and bladder and bowel disturbances. We describe a 73-year-old Caucasian woman with aquaporin-4 antibody-positive neuromyelitis optica whose index event was intermittent paroxysmal tonic spasms (and no other myelitis features) that recurred for 6 months and was associated with a short spinal cord lesion on MRI. This case reiterates recent observations that neuromyelitis optica can occur in older persons, and its myelitis can be 'short' and clinically mild.

Differences in wake-up and unknown onset stroke examined in a stroke registry.

INTRODUCTION: Debate exists as to whether wake-up stroke (WUS) (i.e. symptoms first noted on waking) differs from stroke developing while awake [awake onset stroke (AOS)]. Unknown onset stroke (UOS) with unclear symptom onset time is infrequently studied. AIMS: This study aimed to examine differences in stroke characteristics and outcomes in these three groups. METHODS: The stroke registry database from Halifax Infirmary, Canada, was interrogated for hospitalised stroke patients between 1999-2011. Information was available on demographics, stroke characteristics, and functional status at discharge and six months (modified Rankin score [mRS]). RESULTS: Of 3890 patients, 65% had AOS, 21% WUS and 14% UOS. UOS patients were significantly older, more commonly female and living alone than AOS patients, with no difference between AOS and WUS. UOS rates increased from 10 to 16% of patients during the study period (P < 0.0001). UOS but not WUS had a higher stroke severity than AOS. Intracerebral hemorrhage was less common (9 vs. 13%) and lacunar stroke more common (23 vs. 19%) in WUS compared to AOS. In UOS left hemisphere location was more likely, and lacunar stroke less common. Excellent outcomes were slightly lower for WUS. UOS had significantly higher rates of in-hospital mortality (23 vs. 16%, P < 0.0001) and poorer functional outcome six months after stroke (mRS < 3 in 26% of UOS and 46% of AOS, P = 0.02). CONCLUSION: WUS has lower rates of ICH but similar stroke severity and outcomes to AOS. UOS prevalence appears to be increasing, with higher stroke severity and worse prognosis.

Hypoplastic internal carotid artery stenosis with a low-lying carotid bifurcation causing cerebral ischemia.

Congenital abnormalities of the internal carotid artery (ICA) are infrequent and can be associated with aberrations of the Circle of Willis. A 47-year-old gentleman presented with transient neurological symptoms and cerebral infarction and carotid Doppler showed a stenotic right ICA. Subsequent computed tomographic angiography showed a hypoplastic ICA with a low-lying bifurcation at the C6 level and aplasia of the anterior communicating artery. This patient was commenced on aggressive medical therapy and at 7-month follow-up was symptom-free. This case report highlights the need for a centralized registry with long-term follow-up data in order to identify optimal management.

Developing predictive models of excellent and devastating outcome after stroke.

BACKGROUND: models to predict functional status post-stroke have utility in balancing groups in randomised trials, for outcome comparison between stroke centres and may assist in outcome prediction. This study aimed to develop models of both excellent [modified Rankin score (mRS) 0-1] and devastating outcomes (mRS of 5-6). METHODS: patients admitted with ischaemic or haemorrhagic stroke in 2001-02 to the Halifax Infirmary, Canada, were enrolled. Sixteen clinical variables from the first neurological assessment and six radiological variables from the acute CT scan were used to the model outcome at 6 months. RESULTS: five hundred and thirty-eight stroke patients were enrolled. Thirty per cent had an excellent outcome and 30% had a devastating outcome. Three models of the excellent outcome were developed [area under the receiver operator curve (AUC) 0.866-882] including the variables age, pre-stroke functional status, stroke severity, ability to lift both arms, walk independently, normal verbal Glasgow Coma Scale and leukoaraiosis. Predictive models of the devastating outcome (AUC of 0.859-0.874) included additional variables living alone pre-stroke and total anterior circulation stroke. The simplest models of both outcomes were externally validated (AUC of 0.856-0.885). CONCLUSION: this study demonstrates new externally validated predictive models of both excellent and devastating outcomes. Leukoaraiosis was the only independent radiological predictor of both outcomes. Living alone pre-stroke predicted devastating outcome post-stroke.

Predicting functional outcome after stroke by modelling baseline clinical and CT variables.

BACKGROUND: we aimed to assess whether the performance of stroke outcome models comprising simple clinical variables could be improved by the addition of more complex clinical variables and information from the first computed tomography (CT) scan. METHODS: 538 consecutive acute ischaemic and haemorrhagic stroke patients were enrolled in a Stroke Outcome Study between 2001 and 2002. Independent survival (modified Rankin scale

Gender differences in stroke examined in a 10-year cohort of patients admitted to a Canadian teaching hospital.

BACKGROUND AND PURPOSE: Studies suggest that women with stroke are investigated less aggressively and receive tissue plasminogen activator less frequently than men. We tested whether gender differences in the investigation, treatment, and outcome of stroke are due to confounding factors. METHODS: Gender differences in the use of investigations, trial enrollment, treatment with intravenous tissue plasminogen activator, and in-hospital outcomes were examined in data from our prospective registry using multivariate analysis to adjust for age, prestroke functional status, stroke subtype and severity, and atrial fibrillation. RESULTS: Of 2725 consecutive hospitalized patients (1996 to 2006), 88% had ischemic stroke and 48% were women. Women were older (median age, 77 versus 70 years), had more severe strokes, and were less likely to be independent prestroke (78% versus 87%) compared with men (all P<0.001). The proportion of women, but not men, aged >or=80 years, increased significantly between 1996 to 1997 and 2005 to 2006. After adjustment for confounding, women were less likely to have infratentorial strokes (OR, 0.78; 95% CI, 0.62 to 0.97), be able to walk unaided on admission (OR, 0.69; 95% CI, 0.54 to 0.87), be treated with tissue plasminogen activator (OR, 0.51; 95% CI, 0.35 to 0.72), experience pneumonia (OR, 0.38; 95% CI, 0.26 to 0.55), achieve a discharge Barthel Index of >or=95 (OR, 0.75; 95% CI, 0.61 to 0.94, and were more likely to experience a urinary tract infection (OR, 2.06; 95% CI, 1.61 to 2.64). There was no gender difference in adjusted use of investigations. CONCLUSIONS: The majority of the gender differences in stroke were explained by confounding. More research is required to understand gender differences in stroke pathophysiology and the utilization of thrombolytic therapy.

Computer-aided classification of breast masses in ultrasonic B-scans using a multiparameter approach.

Classification of breast masses in ultrasonic B-scan images is undertaken using a multiparameter approach. The parameters are generated on the basis of a non-Rayleigh statistic model of the backscattered envelope from the breast tissue. They can be computed automatically with minimal clinical intervention once the location of the mass is known. A new discriminant is developed that combines these parameters linearly. It is seen that this new discriminant performs classification of masses into benign or malignant better than the classification by any one of the individual parameters. The data set studied consisted of 99 cases (70 patients with benign masses and 29 patients with malignant masses). The areas under the receiver operating characteristic (ROC) curves (Az) and statistical attributes of the areas were studied to establish the enhancement in performance. The Az value after combining all the parameters was found to be 0.8701. Upon combining this parameter with the level of suspicion (LOS) scores of a radiologist, the performance is further enhanced with an area under the (empirical) ROC of 0.94 having an operating point at a sensitivity of 0.965 and specificity of 0.87. It is suggested that this automated approach may hold promise as a means of classifying breast masses.

Classification of breast masses in ultrasonic B scans using Nakagami and K distributions.

Classification of breast masses in greyscale ultrasound images is undertaken using a multiparameter approach. Five parameters reflecting the non-Rayleigh nature of the backscattered echo were used. These parameters, based mostly on the Nakagami and K distributions, were extracted from the envelope of the echoes at the site, boundary, spiculated region and shadow of the mass. They were combined to create a linear discriminant. The performance of this discriminant for the classification of breast masses was studied using a data set consisting of 70 benign and 29 malignant cases. The Az value for the discriminant was 0.96 +/- 0.02, showing great promise in the classification of masses into benign and malignant ones. The discriminant was combined with the level of suspicion values of the radiologist leading to an Az value of 0.97 +/- 0.014. The parameters used here can be calculated with minimal clinical intervention, so the method proposed here may therefore be easily implemented in an automated fashion. These results also support the recent reports suggesting that ultrasound may help as an adjunct to mammography in breast cancer diagnostics to enhance the classification of breast masses.

ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis.

Breast cancer diagnosis through ultrasound tissue characterization was studied using receiver operating characteristic (ROC) analysis of combinations of acoustic features, patient age, and radiological findings. A feature fusion method was devised that operates even if only partial diagnostic data are available. The ROC methodology uses ordinal dominance theory and bootstrap resampling to evaluate A(z) and confidence intervals in simple as well as paired data analyses. The combined diagnostic feature had an A(z) of 0.96 with a confidence interval of at a significance level of 0.05. The combined features show statistically significant improvement over prebiopsy radiological findings. These results indicate that ultrasound tissue characterization, in combination with patient record and clinical findings, may greatly reduce the need to perform biopsies of benign breast lesions.