Education Time Out and Debrief: Structured Implementation of Perioperative Resident Technical Education Discussion

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Acute Kidney Injury in Adults: An Underdiagnosed Condition

Acute kidney injury (AKI) is a complex disease process that is increasingly common and has an increased rate of adverse outcomes and mortality. It is commonly underdiagnosed in inpatient and community settings by many providers. This article is a comprehensive review of AKI from risk factors to diagnosis to management and follow-up.     

A Postmarketing Clinical Experience Study of Metadate® CD

Summary

Objective:The objective of the study was to investigate the effectiveness and safety of Metadate® CD (methylphenidate HCl, USP) Extended Release Capsules in the treatment of Attention-Deficit/Hyperactivity Disorder (ADHD), in actual clinical practice.

Method:This was a multicenter, open-label, postmarketing study. Eligible patients were aged 6-17 with a diagnosis of ADHD and receiving either no treatment or maintenance treatment with another approved methylphenidate (MPH) product. Metadate® CD was administered once daily for 3 weeks, titrated against reported and observed symptoms. Clinical Global Impression (CGI) scores at Week 3 were used for the primary efficacy evaluation. Patient treatment satisfaction was determined by questionnaire at the final evaluation visit. Safety was assessed through adverse event reporting, laboratory tests and vital sign measurements.

Results: Overall, of the 308 patients in the Intent-To-Treat population, the majority (65%) demonstrated a positive response to Metadate® CD (defined as CGI Global Improvement rating of very much or much improved). In addition, patients previously treated with immediate-release or extended-release tablet formulations of MPH were successfully converted to Metadate® CD at a comparable dose. Most patients (87%) were very satisfied or moderately satisfied with study treatment, and among previously treated patients, 71% rated Metadate® CD as much better or better than their previous MPH treatment. Adverse events were consistent with current FDA-approved product labeling for Metadate® CD.

Conclusions: Metadate® CD is effective and well-tolerated in actual clinical use for ADHD.     

USA300 methicillin‐resistant Staphylococcus aureus in Norway

Moen AEF*, Tannæs TM, Leegaard TM. USA300 methicillin‐resistant Staphylococcus aureus (MRSA) in Norway. Community‐associated methicillin‐resistant S. aureus USA300 is known for its ability to disseminate and colonize and the clone has been detected globally. We studied the most populated area in Norway in search for the strain and for signs of endemic establishment. Strain typing techniques such as spa‐, SCCmec‐ and dru‐typing, pulsed‐field gel electrophoresis and detection of USA300 molecular markers, lukS/F‐PV and arcA, were performed. USA300 has been present in the study area since 2003 and has increased in incidence in parallel with the total MRSA incidence. Most USA300 isolates were found in the community, but isolates were also detected in health care institutions.     

Fall injuries in Baghdad from 2003 to 2014: Results of a randomised household cluster survey

IntroductionFalls incur nearly 35 million disability-adjusted life-years annually; 75% of which occur in low- and middle-income countries. The epidemiology of civilian injuries during conflict is relatively unknown, yet important for planning prevention initiatives, health policy and humanitarian assistance. This study aimed to determine the death and disability and household consequences of fall injuries in post-invasion Baghdad.MethodsA two-stage, cluster randomised, community-based household survey was performed in May of 2014 to determine the civilian burden of injury from 2003 to 2014 in Baghdad. In addition to questions about household member death, households were interviewed regarding injury specifics, healthcare required, disability, relatedness to conflict and resultant financial hardship.ResultsNine hundred households totaling 5148 individuals were interviewed. There were 138 fall injuries (25% of all injuries reported); fall was the most common mechanism of civilian injury in Baghdad. The rate of serious fall injuries increased from 78 to 466 per 100,000 persons in 2003 and 2013, respectively. Fall was the most common mechanism among the injured elderly (i.e. ≥65 years; 15/24 elderly unintentional injuries; 63%). However, 46 fall injuries were children aged <15 years (49% of unintentional injuries) and 77 were respondents aged 15–64 years (36%). Respondents who spent significant time within the home (i.e. unemployed, retired, homemaker) had three times greater odds of having suffered a fall injury than student referents (aOR 3.34; 95%CI 1.30–8.60). Almost 80% of fall injured were left with life-limiting disability. Affected households often borrowed substantial sums of money (34 households; 30% of affected households) and/or suffered food insecurity after a family member's fall (52; 46%).ConclusionFalls were the most common cause of civilian injury in Baghdad. In part due to the effect of prolonged insecurity on a fragile health system, many injuries resulted in life-limiting disabilities. In turn, households shouldered much of the burden after fall injury due to loss of income and/or medical expenditure, often resulting in food insecurity. Given ongoing conflict, civilian injury control initiatives, trauma care strengthening efforts and support for households of the injured is urgently needed.     

A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation

Appropriate initialization and stable evolution are desirable criteria to satisfy in level set methods. In this study, a novel region-based level set method utilizing both global and local image information complementarily is proposed. The global image information is extracted from mean shift clustering without any prior knowledge. Appropriate initial contours are obtained by regulating the clustering results. The local image information, as extracted by a data fitting energy, is employed to maintain a stable evolution of the zero level set curves. The advantages of the proposed method are as follows. First, the controlling parameters of the evolution can be easily estimated by the clustering results. Second, the automaticity of the model increases because of a reduction in computational cost and manual intervention. Experimental results confirm the efficiency and accuracy of the proposed method for medical image segmentation.