An assessment on the use of infra-scanner for the diagnosis of the brain hematoma in head trauma.

PURPOSE: Timely identification and treatment of intracranial hematomas in patients with brain injury is essential for successful treatment. This study evaluates Infra-scanner as a handy medical screening tool for diagnosing, on-site, cerebral hematomas in patients with head injury. MATERIALS AND METHODS: Patients referred to the emergency department of university hospitals with mild to moderate brain trauma, up to 12 h from injury were included. NIR sensors of infra-scan device were placed on the right and left frontal, temporal, peritoneal and occipital parts of the head and light absorption was recorded. Positive or negative cerebral hemorrhage cases were compared with contrast-enhanced CT scan results as the gold standard. Diagnostic parameters of the device and cases related to bleeding were analyzed and reported. RESULTS: A total of 300 patients were studied. Sensitivity of the infrasound scanner in the Iranian study population was 94.8 (95% CI: 88% -100) and its specificity was 86.9 (95% CI: 79% -99% 99). Negative predictive value (NPV) was 90.3% and positive predictive value (PPV) was 92.9%. Sensitivity in men (95.7%) (95%CI, 90% -1) was more than women (95% CI, 81% -99%)90%. At the ages of less than 36 years, sensitivity (95.3%) and specificity (87.1%) were more than sensitivity (94.4%) and specificity (86.5%) over 36 years old. If the test had been performed in less than / equal to two hours from trauma, the sensitivity (94.9%) and the specificity (92%) were greater than the sensitivity (94.6%) and the specificity (75%) during when the scan had been performed in more than two hours from trauma. In general, in extra-axial bleeding including EDH, SAH, SDH, the sensitivity was 95.1% and the specificity was 84.5%, while in intra-axial bleeding, including ICH and IVH, the sensitivity was lower (93.9%) and the specificity was 91.7. The sensitivity of the device in detecting bleeding in the occipital lobe (95.8%) was higher than other brain lobes. CONCLUSION: This study shows that Infra-scanner is useful in initial examination and screening of patients with head injury and can be used as an adjunct to a CT scan or when not available and may allow earlier treatment which reduce the secondary damage to the hematoma.

Comparison of Doppler Ultrasound and Digital Subtraction Angiography in extracranial stenosis.

OBJECTIVE: Evaluating the degree of extracranial stenosis is important in predicting the risk of cerebrovascular events and to assess if the patient can benefit from any intervention. Non-invasive methods, like Doppler Ultrasonography (DUS) are preferred to invasive methods such as Digital Subtraction Angiography (DSA). METHODS: In this retrospective study, the level of agreement between DUS and DSA regarding the degree of stenosis of Internal Carotid Arteries (ICAs) and Vertebral Arteries (VAs) was assessed. The degree of ICA stenosis was classified into 5 groups. DSA was assumed as the gold standard. VA stenosis was classified into two groups of more or less than 50% stenosis. RESULTS: A total of 428 ICAs were assessed. Based on DSA results, DUS could estimate the degree of arterial stenosis in groups of 0-15% stenosis and 100% stenosis most accurately, and the least accuracy was in groups of 50-69% and 70-99% stenosis. The overall agreement between DUS and DSA in the classified ICA stenosis was moderate (Weighted Kappa = 0.565, P < 0.001). Also, the agreement of DUS and DSA when classifying ICA stenosis into two groups of above and below 50%, was moderate (Kappa = 0.583, P < 0.001). DUS was most sensitive and specific in the group of 100% stenosis (Sensitivity: 0.75 Specificity: 0.99) as well as the group of 1-15% stenosis (Sensitivity: 0.80 Specificity: 0.76). Also, DUS was least sensitive in group of 50-69% stenosis (Sensitivity: 0.11 Specificity: 0.94). Regarding VAS, 108 arteries were assessed and the agreement between DUS and DSA was fair (Kappa = 0.248, CI95 = -0.013 - 0.509, P < 0.01). CONCLUSIONS: DUS can be used as the first-line screening tool for detecting extra cranial arteries stenosis. The practicality of the DUS as a screening tool for extracranial VAs stenosis appears to be limited.

Filling the gaps in SARDs research: collection and linkage of administrative health data and self-reported survey data for a general population-based cohort of individuals with and without diagnoses of systemic autoimmune rheumatic disease (SARDs) from British Columbia, Canada.

PURPOSE: Systemic autoimmune rheumatic diseases (SARDs) are a group of debilitating autoimmune diseases, including systemic lupus erythematosus and related disorders. Assessing the healthcare and economic burden of SARDs has been challenging: while administrative databases can be used to determine healthcare utilisation and costs with minimal selection and recall bias, other health, sociodemographic and economic data have typically been sourced from highly selected, clinic-based cohorts. To address these gaps, we are collecting self-reported survey data from a general population-based cohort of individuals with and without SARDs and linking it to their longitudinal administrative health data. PARTICIPANTS: Using administrative data from the province of British Columbia (BC), Canada, we established a population-based cohort of all BC adults receiving care for SARDs during 1996-2010 (n=20 729) and non-SARD individuals randomly selected from the general population. BC Ministry of Health granted us contact information for 12 000 SARD and non-SARD individuals, who were recruited to complete the surveys by mail or online. FINDINGS TO DATE: Four hundred individuals were initially invited to participate, with 135 (34%) consenting and 127 (94%) submitting the first survey (72% completed online). Sixty-three (49.6%) reported ≥1 SARD diagnosis. The non-SARDs group (n=64) was 92% female with mean age 57.0±11.6 years. The SARDs group (n=63) was 94% female with mean age 56.5±13.1 years. Forty-eight per cent of those with SARDs were current-or-former smokers (mean 10.6±16.2 pack-years), and 33% were overweight or obese (mean body mass index of 24.4±5.3). FUTURE PLANS: Health and productivity data collected from the surveys will be linked to participants' administrative health data from the years 1990-2013, allowing us to determine the healthcare and lost productivity costs of SARDs, and assess the impact of patient-reported variables on utilisation, costs, disability and clinical outcomes. Findings will be disseminated through scientific conferences and peer-reviewed journals.