Single Incision Laparoscopic Surgery for Acute Appendicitis: Feasibility in Pediatric Patients

Background. Laparoscopic appendicectomy is accepted by many as the gold standard approach for the treatment of acute appendicitis. The use of Single Incision Laparoscopic Surgery (SILS) has the potential of further reducing postoperative port site complications as well as improving cosmesis and patient satisfaction. Method. In this paper we report our experience and assess the feasibility of SILS appendicectomy in the pediatric setting. Results. Five pediatric patients with uncomplicated appendicitis underwent SILS appendicectomy. There were no significant intraoperative or postoperative complications. All patients were discharged within 24 hours. Conclusions. The use of Single Incision Laparoscopic Surgery appears to be a feasible and safe technique for the treatment of uncomplicated appendicitis in the pediatric setting. Further studies are warranted to fully investigate the potential advantages of this new technique

Validation of a Predictive Model for Survival in Patients With Advanced Cancer: Secondary Analysis of RTOG 9714.

BackgroundThe objective of this study was to validate a simple predictive model for survival of patients with advanced cancer.MethodsPrevious studies with training and validation datasets developed a model predicting survival of patients referred for palliative radiotherapy using three readily available factors: primary cancer site, site of metastases and Karnofsky performance score (KPS). This predictive model was used in the current study, where each factor was assigned a value proportional to its prognostic weight and the sum of the weighted scores for each patient was survival prediction score (SPS). Patients were also classified according to their number of risk factors (NRF). Three risk groups were established. The Radiation Therapy and Oncology Group (RTOG) 9714 data was used to provide an additional external validation set comprised of patients treated among multiple institutions with appropriate statistical tests.ResultsThe RTOG external validation set comprised of 908 patients treated at 66 different radiation facilities from 1998 to 2002. The SPS method classified all patients into the low-risk group. Based on the NRF, two distinct risk groups with significantly different survival estimates were identified. The ability to predict survival was similar to that of the training and previous validation datasets for both the SPS and NRF methods.ConclusionsThe three variable NRF model is preferred because of its relative simplicity

HERMA-Heartbeat Microwave Authentication

Systems and methods for identifying and/or authenticating individuals utilizing microwave sensing modules are disclosed. A HEaRtbeat Microwave Authentication (HERMA) system can enable the active identification and/or authentication of a user by analyzing reflected RF signals that contain a person's unique characteristics related to their heartbeats. An illumination signal is transmitted towards a person where a reflected signal captures the motion of the skin and tissue (i.e. displacement) due to the person's heartbeats. The HERMA system can utilize existing transmitters in a mobile device (e.g. Wi-Fi, Bluetooth, Cellphone signals) as the illumination source with at least one external receive antenna. The received reflected signals can be pre-processed and analyzed to identify and/or authenticate a user

Does preservation of the sub-valvular apparatus during mitral valve replacement affect long-term survival and quality of life? A Microsimulation Study

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.Abstract Background Techniques to preserve the sub-valvular apparatus in order to reduce morbidity and mortality following mitral valve replacement have been frequently reported. However, it is uncertain what impact sub-valvular apparatus preservation techniques have on long-term outcomes following mitral valve replacement. This study investigated the effect of sub-valvular apparatus preservation on long-term survival and quality of life following mitral valve replacement. Methods A microsimulation model was used to compare long-term survival and quality-adjusted life years following mitral valve replacement after conventional valve replacement and sub-valvular apparatus preservation. Probabilistic sensitivity analysis and alternative analysis were performed to investigate uncertainty associated with the results. Results Our Analysis suggests that patients survive longer if the sub-valvular apparatus are preserved (65.7% SD 1.5%, compared with 58.1% SD 1.6% at 10 years). The quality adjusted life years gained over a 10 year period where also greater after sub-valvular apparatus preservation. (6.54 QALY SD 0.07 QALY, compared with 5.61 QALY, SD 0.07 QALY). The superiority of preservation techniques was insensitive to patient age, parameter or model uncertainty. Conclusion This study suggests that long-term outcomes may be improved when the sub-valvular apparatus are preserved. Given the lack of empirical data further research is needed to investigate health-related quality of life after mitral valve replacement, and to establish whether outcomes differ between preservation techniques.Published versio

Effectiveness of the “Timed Up and Go” (TUG) and the Chair Test as Screening Tools for Geriatric Fall Risk Assessment in the ED

OBJECTIVE: We sought to evaluate the effectiveness of the Timed Up and Go (TUG) and the Chair test as screening tools in the Emergency Department (ED), stratified by sex. METHODS: This prospective cohort study was conducted at a Level 1 Trauma center. After consent, subjects performed the TUG and the Chair test. Subjects were contacted for phone follow-up and asked to self-report interim falling. RESULTS: Data from 192 subjects were analyzed. At baseline, 71.4% (n = 137) screened positive for increased falls risk based on the TUG evaluation, and 77.1% (n = 148) scored below average on the Chair test. There were no differences by patient sex. By the six-month evaluation 51 (26.6%) study participants reported at least one fall. Females reported a non-significant higher prevalence of falls compared to males (29.7% versus 22.2%, p = 0.24). TUG test had a sensitivity of 70.6% (95% CI: 56.2%-82.5%), a specificity of 28.4% (95% CI: 21.1%-36.6%), a positive predictive (PP) value 26.3% (95% CI: 19.1%-34.5%) and a negative predictive (NP) value of 72.7% (95% CI: 59.0%-83.9%). Similar results were observed with the Chair test. It had a sensitivity of 78.4% (95% CI: 64.7%-88.7%), a specificity of 23.4% (95% CI: 16.7%-31.3%), a PP value 27.0% (95% CI: 20.1%-34.9%) and a NP value of 75.0% (95% CI: 59.7%-86.8%). No significant differences were observed between sexes. CONCLUSIONS: There were no sex specific significant differences in TUG or Chair test screening performance. Neither test performed well as a screening tool for future falls in the elderly in the ED setting

Combined mTOR and MEK inhibition is an effective therapy in a novel mouse model for angiosarcoma

Angiosarcoma is an aggressive malignancy of vascular origin that occurs de novo or in the context of previous cancer therapy. Despite multi-modal aggressive treatment including surgical resection, chemotherapy, and radiation, five-year overall survival remains poor at 35%. Due to its rarity, little is known about its molecular pathology and clinical trials have been extremely difficult to conduct. Development of animal models for rare diseases like angiosarcoma is critical to improve our understanding of tumorigenesis and to test novel treatment regimens. A genetically engineered mouse model for angiosarcoma was generated by conditional deletion of Trp53, Pten, and Ptpn12 in endothelial cells. Tumors arising from these mice recapitulate the histology and molecular pathology of the human disease including hyperactivation of the PI3K/mTOR and MAPK signaling pathways. Treatment of tumor-bearing mice with mTOR or MEK inhibitors effectively inactivated signaling and resulted in reduced proliferation and elevated apoptosis leading to tumor regression. The effect of treatment on tumor growth was transient and proliferation was restored after a period of dormancy. However, combined inhibition of mTOR and MEK resulted in profound tumor regression which was sustained for the duration of treatment. These results suggest that angiosarcoma may be effectively treated by this drug combination

Vehicle emissions and PM2.5 mass concentrations in six Brazilian cities

In Brazil, the principal source of air pollution is the combustion of fuels (ethanol, gasohol, and diesel). In this study, we quantify the contributions that vehicle emissions make to the urban fine particulate matter (PM2.5) mass in six state capitals in Brazil, collecting data for use in a larger project evaluating the impact of air pollution on human health. From winter 2007 to winter 2008, we collected 24-h PM2.5 samples, employing gravimetry to determine PM2.5 mass concentrations; reflectance to quantify black carbon concentrations; X-ray fluorescence to characterize elemental composition; and ion chromatography to determine the composition and concentrations of anions and cations. Mean PM2.5 concentrations in the cities of São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, and Recife were 28, 17.2, 14.7, 14.4, 13.4, and 7.3 μg/m3, respectively. In São Paulo and Rio de Janeiro, black carbon explained approximately 30% of the PM2.5 mass. We used receptor models to identify distinct source-related PM2.5 fractions and correlate those fractions with daily mortality rates. Using specific rotation factor analysis, we identified the following principal contributing factors: soil and crustal material; vehicle emissions and biomass burning (black carbon factor); and fuel oil combustion in industries (sulfur factor). In all six cities, vehicle emissions explained at least 40% of the PM2.5 mass. Elemental composition determination with receptor modeling proved an adequate strategy to identify air pollution sources and to evaluate their short- and long-term effects on human health. Our data could inform decisions regarding environmental policies vis-à-vis health care costs