Introduction: Heart failure with low ejection fraction (EF) is a known risk factor for stroke. Low EF is associated with increased risk of thrombus formation and is accompanied with 2 to 3 fold increased risk of stroke. This can happen even in the absence of atrial fibrillation. Hypothesis: Our hypothesis was that size of the stroke will be larger in patients with reduction in EF as compared with cardioembolic strokes in preserved EF. The worse the EF, the more stagnation of blood and poor cardiac output leading higher risk of thrombus formation. It’s also likely that the group with reduced EF form a larger thrombus leading to larger stroke as compared to the group with preserved EF. Methods: For our analysis, we retrospectively reviewed charts for 49 acute ischemic stroke patients without atrial fibrillation. We used transthoracic echocardiogram to determine the EF. There are 25 patients with preserved EF, cutoff > 50%. There were 24 patients in reduced EF group. Both groups were matched for age and cardiovascular risk factors. Infarct volume was manually calculated from T1 MRI using BrainLab software. Results: There is an inverse correlation between EF and infarct volume (r=-.283, p=.048) meaning patients with reduced EF had greater infarct volume. Median infarct volume is higher in reduced EF group (median volume = 36 cm 3 ) compared to patients with preserved EF (median volume = 11 cm 3 ) (p=.117). Conclusions: In our patient’s sample, there seems to be an inverse correlation between EF and size of stroke. Patients with reduced EF were associated with larger strokes. Larger studies need to be performed to establish a correlation.
‘ICU vampirism’ – time for judicious blood draws in critically ill patients
Objectives To investigate the incidence of carcinoma in situ ( CIS ) in Australia and examine implications for its diagnosis and management, as CIS of the urinary bladder is a non‐reportable disease in Australia. Methods Analysis of annual hospitalisation data using A ustralian I nstitute of H ealth and W elfare ( AIHW ) datasets showed an increase in CIS from 2001 onwards. To determine whether the increase seen with AIHW data represented a true increase in the rates offices, patient level data was examined using the Centre for Health record linkage ( CHeReL ) datasets. Results CHeReL linked data of 13 790 males and 5902 females, calculated the average incidence of CIS to be 20.9 per 100 000 and 6.5 per 100 000 respectively in those aged > 50 years, showing a rapid increase in the rates of CIS from 2001. There was an 11% ( P = 0.04) and 14% ( P = 0.02) annual increase in incidence of CIS in men and women and these rates increased with age. Conclusions National data ( AIHW ) substantially underestimate the incidence of CIS in the Australian population. Patient level data suggest CIS rates are rapidly increasing in Australia despite high treatment rates. Closer surveillance and awareness of these high rates warrants further study and we recommend that CIS be considered a reportable disease.