6 research outputs found

    Familial colloid cyst of the third ventricle

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    A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.Colloid cysts of the third ventricle are rare benign lesions. They can present as incidental finding on imaging or with symptoms of obstructive hydrocephalus. To date, 18 familial cases of colloid cyst have been reported. Due to the extreme rarity of these cysts, it has been suggested that there is a genetic component involved. This report presents a familial colloid cyst in non-twin brothers who both presented in their early twenties. In addition, both of them had congenital inguinal hernia. This may represent a potential association between familial colloid cysts and congenital inguinal hernia that could provide us with insight into the genetic mechanism involved

    Safety and Efficacy of Riluzole in Traumatic Spinal Cord Injury: A Systematic Review With Meta-Analyses

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    Traumatic spinal cord injury (SCI) is a cause of significant morbidity, often resulting in long-term disability. We aimed to compare outcomes after riluzole versus patients who received placebo or standard of care with no specific intervention. MEDLINE, Embase, Scopus, and Cochrane Library database searches yielded 92 records, and five met the study inclusion criteria. Fixed-effect and random-effects models were used to establish odds ratios (ORs) and mean difference (MD) with 95% confidence intervals (CIs) for each outcome. The results of the pooled analysis showed that in patients with acute traumatic SCI, riluzole resulted in increased American Spinal Injury Association (ASIA) motor scores at 3 months (MD 0.26, 95% CI [?0.10,0.61], I2?=?0%; p?=?0.157) and 6 months (MD 0.21, 95% CI [?0.17,0.60], I2?=?0%; p?=?0.280) and change in ASIA Impairment Scale (AIS) at 3 months (OR 0.59, 95% CI [?0.12,1.30], I2?=?0%, p?=?0.101) and 6 months (OR 0.28, 95% CI [?0.50,1.06], I2?=?0%, p?=?0.479) in comparison to the control groups, though not to a level of statistical significance. Riluzole resulted in fewer adverse events than the control groups (OR ?0.12, 95% CI [?1.59,1.35], I2?=?0%, p?=?0.874) and lower mortality (OR ?0.20, 95% CI [?1.03,0.63], I2?=?0%, p?=?0.640), though also not to a level of statistical significance. These meta-analyses suggest that riluzole for the treatment of traumatic SCI is safe and results in improved neurological outcomes when compared to controls, though not to a level of statistical significance. More robust prospective, randomized studies are necessary to help inform the safety and efficacy of riluzole for traumatic SCI

    Using automated electronic medical record data extraction to model ALS survival and progression

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    Abstract Background To assess the feasibility of using automated capture of Electronic Medical Record (EMR) data to build predictive models for amyotrophic lateral sclerosis (ALS) outcomes. Methods We used an Informatics for Integrating Biology and the Bedside search discovery tool to identify and extract data from 354 ALS patients from the University of Kansas Medical Center EMR. The completeness and integrity of the data extraction were verified by manual chart review. A linear mixed model was used to model disease progression. Cox proportional hazards models were used to investigate the effects of BMI, gender, and age on survival. Results Data extracted from the EMR was sufficient to create simple models of disease progression and survival. Several key variables of interest were unavailable without including a manual chart review. The average ALS Functional Rating Scale – Revised (ALSFRS-R) baseline score at first clinical visit was 34.08, and average decline was − 0.64 per month. Median survival was 27 months after first visit. Higher baseline ALSFRS-R score and BMI were associated with improved survival, higher baseline age was associated with decreased survival. Conclusions This study serves to show that EMR-captured data can be extracted and used to track outcomes in an ALS clinic setting, potentially important for post-marketing research of new drugs, or as historical controls for future studies. However, as automated EMR-based data extraction becomes more widely used there will be a need to standardize ALS data elements and clinical forms for data capture so data can be pooled across academic centers
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