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To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jss.2009.06.051 Byline: Jan Bosch (a), Petra Bosch-Sijtsema (b)(c) Keywords: Software product lines; Software ecosystems; Global development; Software integration; Software composition Abstract: Three trends accelerate the increase in complexity of large-scale software development, i.e. software product lines, global development and software ecosystems. For the case study companies we studied, these trends caused several problems, which are organized around architecture, process and organization, and the problems are related to the efficiency and effectiveness of software development as these companies used too integration-centric approaches. We present five approaches to software development, organized from integration-centric to composition-oriented and describe the areas of applicability. Author Affiliation: (a) Intuit Inc., Mountain View, CA, USA (b) Helsinki University of Technology, Finland (c) Visiting Scholar Stanford University, Stanford, CA, USA Article History: Received 8 November 2008; Revised 21 May 2009; Accepted 26 June 2009

Objective: We aimed to investigate the prevalence and characteristics of non-accidental trauma (NAT) in children with polytrauma treated at level-I trauma centres (TC).Summary Of Background: Data 6-10% Of children who present at the emergency department with injuries, sustain polytrauma. Polytrauma may result from either accidental (AT) or NAT, i.e. inflicted or neglect. The prevalence of NAT among children with polytrauma is currently unclear.Methods: This is a retrospective study that included children (0-18 years) with an Injury Severity Score >15, who presented at one of the 11 Level-I trauma centers (TC) in the Netherlands between January 1, 2010 and January 1, 2016. Outcomes were classified based on the conclusions of the Child Abuse and Neglect-team. Cases in which conclusions were unavailable and there was no clear accidental cause of injuries were reviewed by an expert panel.Results: The study included 1623 children, 1452 (89%) were classified as AT, 171 (11%) as NAT; 39 (2,4%) inflicted and 132 (8,1%) neglect. Of pre-school aged children (<5 years) 41% sustained NAT (OR26.73, 95%CI 17.70-40.35), 35/342 (10%) inflicted and 104/342 (31%) neglect. Admission due to 'cardiopulmonary arrest' was the result of inflicted trauma (30% vs 0%,p < 0.001). NAT had a higher mortality rate (16% vs 10%, p = 0.006). Indicators of NAT were: (near-)drowning (OR10.74, 95%CI 5.94-19.41), burn (OR8.62, 95%CI 4.08-18.19) and fall from height (OR2.18, 95%CI 1.56-3.02).Conclusions: NAT was the cause of polytrauma in 11% of children in our nationwide level-I TC study; 41% of these polytrauma were the result of NAT experienced by preschool-aged children. Our data show the importance of awareness for NAT. [ABSTRACT FROM AUTHOR]

Introduction: Anastomotic pseudoaneurysms and true para-anastomotic aneurysms after initial open abdominal aortic prosthetic reconstruction often need reintervention because they are at risk for rupture. However, open surgical reinterventions are technically challenging procedures with high mortality and morbidity rates. In the present multicenter study, we describe the long-term clinical course in an expanded number of patients who underwent endovascular repair of para-anastomotic aneurysms after previous open reconstruction. Methods: The study included all patients who were treated with an endovascular stent graft between July 1999 and July 2009 for an aortoiliac anastomotic pseudoaneurysm or a true para-anastomotic aneurysm after previous aortic prosthetic reconstruction for aneurysmal or occlusive disease in one of the four participating centers. Main outcomes were long-term complications, reinterventions and conversion rate, mortality, and hospital length of stay. Results: An endovascular stent graft was used to treat 58 patients (53 men; mean age, 71 ± 9 years), with 80 aortic or iliac pseudoaneurysms or true para-anastomotic aneurysm, or both. Bifurcated stent grafts were used in 32 patients, endovascular tube grafts in eight, aortouniiliac stent grafts in seven, and iliac extension grafts in 11. Stent graft deployment was successful in 55 patients, for a technical success rate of 95%. Median hospital admission was 3 days (range, 1-122 days). The 30-day and in-hospital mortality rates were 3.4% (n = 2) and 6.9% (n = 4), respectively. The 30-day clinical success rate was 91% (n = 53). Median follow-up was 41 months (range, 0-106 months). The cumulative and procedural-related mortality during follow-up was 19% (n = 11) and 10% (n = 6), respectively. Follow-up computed tomography angiography revealed nine endoleaks (three type I; six type II) in eight patients and endotension in two patients. The overall reintervention and conversion rate during follow-up was 26.9% (n = 15) and 6.9% (n = 4), respectively. Life-table analysis showed reduced freedom from reintervention for aortouniiliac and tube stent grafts. Type I endoleaks were observed in 25% of patients with endovascular aortic tube grafts for proximal anastomotic aneurysms. Conclusions: The present study demonstrates that endovascular repair of para-anastomotic aortic and iliac aneurysms after initial prosthetic aortic surgery is safe and durable in patients with an appropriate anatomy. The long-term follow-up showed fewer complications occurred after procedures with bifurcated stent grafts compared with procedures with tube grafts, aortouniiliac, or iliac extension stent grafts. [Copyright &y& Elsevier]

Objective: Efficacy results of endovascular repair (rEVAR) for ruptured abdominal aortic aneurysm (rAAA) compared with open surgery are based on several observational studies containing selection bias. The present study compared rEVAR with open surgery in EVAR-suitable patients with an rAAA who all underwent the same preoperative imaging protocol. Methods: Our policy is to perform a computed tomography angiography on all patients with a suspected rAAA. rEVAR was performed when the rEVAR-vascular surgeon was on call and the patient was suitable for EVAR. Afterwards, two experienced independent blinded experts assessed all computed tomography angiography (CTA) scans on EVAR-suitability. Only EVAR-suitable patients were included in the main analyses. Outcome parameters included mortality (intraoperative, 30-day, and 6-month), complications, reinterventions, and length of hospital stay. Results: From April 2002 until March 2008, 132 consecutive patients with suspected rAAAs were presented. Preoperative CTA confirmed rAAA in 104 patients, of whom 25 underwent rEVAR, and 79 underwent open surgery. In retrospect, the 25 rEVAR patients and 33 patients in the open group were judged EVAR-suitable by the experts. At baseline, there was an equal distribution of physiologic and anatomic characteristics as well as comorbidity. In EVAR-suitable patients, the intraoperative, 30-day, and 6-month mortality was 4.0% (1 of 25), 20.0% (5 of 25), and 28.0% (7 of 25) after rEVAR compared with 6.1% (2 of 33; P >.99), 45.5% (15 of 33; P = .04), and 54.5% (18 of 33; P = .04) after open surgery, respectively. Median length of hospital stay was 9.5 days (interquartile range, 5.0-20.5) after rEVAR and 17.0 days (interquartile range, 9.5-28.0) after open surgery (P = .03). Conclusions: In EVAR-suitable patients, an absolute perioperative mortality reduction of 25.5% of rEVAR over open surgery was found, which was still present at 6 months of follow-up. These data suggest that rEVAR is a superior treatment option for EVAR-suitable patients with an rAAA compared with an open surgery. [Copyright &y& Elsevier]

Purpose: To compare diagnostic accuracy between contrast-enhanced ultrasound (US) and computed tomographic (CT) angiography to detect changes in abdominal aortic aneurysm (AAA) size and endoleaks during follow-up after endovascular aneurysm repair (EVAR). Materials and Methods: Between May 2006 and December 2008, 83 patients were consecutively enrolled for contrast-enhanced US and CT angiography imaging during surveillance after EVAR, yielding 127 paired examinations. Comparative analysis was performed for the anteroposterior and transverse maximal diameters of the aneurysm sac and for the presence or absence of endoleak, as determined by US and CT angiography. Results: Contrast-enhanced US demonstrated significantly more endoleaks, predominantly of type II, compared with CT angiography (53% vs 22% of cases). The number of observed agreements was 77 of 127 (61%), indicating a low level of agreement (κ value of 0.237). US was as accurate as CT angiography in the assessment of maximal aneurysm sac diameters, as shown by Bland-Altman analyses and low coefficients of variation (8.0% and 8.6%, respectively). The interobserver variability for AAA size measurement by US was low, given the interclass correlation coefficients of 0.99 and 0.98 for anteroposterior and transverse maximal diameters, respectively. Conclusions: Contrast-enhanced US may be an alternative to CT angiography in the follow-up of patients after EVAR. As US reduces exposure to the biologic hazards associated with lifelong annual CT angiography, including cumulative radiation dose and nephrotoxic contrast agent load, contrast-enhanced US might be considered as a substitute for CT angiography in the surveillance of patients after EVAR. [Copyright &y& Elsevier]

Large software companies need to support continuous and fast delivery of customer value both in the short and long term. However, this can be hindered if both the evolution and maintenance of existing systems are hampered by Technical Debt. Although a lot of theoretical work on Technical Debt has been produced recently, its practical management lacks empirical studies. In this paper, we investigate the state of practice in several companies to understand what the cost of managing TD is, what tools are used to track TD, and how a tracking process is introduced in practice. We combined two phases: a survey involving 226 respondents from 15 organizations and an in-depth multiple case study in three organizations including 13 interviews and 79 Technical Debt issues. We selected the organizations where Technical Debt was better tracked in order to distill best practices. We found that the development time dedicated to managing Technical Debt is substantial (an average of 25% of the overall development), but mostly not systematic: only a few participants (26%) use a tool, and only 7.2% methodically track Technical Debt. We found that the most used and effective tools are currently backlogs and static analyzers. By studying the approaches in the companies participating in the case study, we report how companies start tracking Technical Debt and what the initial benefits and challenges are. Finally, we propose a Strategic Adoption Model for the introduction of tracking Technical Debt in software organizations. [ABSTRACT FROM AUTHOR]

Background: Guideline implementation programs for patients with acute myocardial infarction (AMI) enhance adherence to evidence-based medicine (EBM) and improve clinical outcome. Although undertreatment of patients with AMI is well recognized in both acute and chronic phases of care, most implementation programs focus on acute and secondary prevention strategies during the index hospitalization phase only. Hypothesis: Implementation of an all-phase integrated AMI care program maximizes EBM in daily practice and improves the care for patients with AMI. Aim: The objective of this study is to assess the effects of the MISSION! program on adherence to EBM for patients with AMI by the use of performance indicators. Design: The MISSION! protocol is based on the most recent American College of Cardiology/American Heart Association and European Society of Cardiology guidelines for patients with AMI. It contains a prehospital, inhospital, and outpatient clinical framework for decision making and treatment, up to 1 year after the index event. MISSION! concentrates on rapid AMI diagnosis and early reperfusion, followed by active lifestyle improvement and structured medical therapy. Because MISSION! covers both acute and chronic AMI phase, this design implies an intensive multidisciplinary collaboration among all regional health care providers. Conclusion: Continuum of care for patients with AMI is warranted to take full advantage of EBM in day-to-day practice. This manuscript describes the rationale, design, and preliminary results of MISSION!, an all-phase integrated AMI care program. [Copyright &y& Elsevier]

Background& Aim: Sarcopenia is defined as a loss of muscle mass and function, which can be caused by normal ageing or factors such as physical inactivity. Severe health consequences caused by sarcopenia highlight the need for early identification. Computed Tomography (CT) imaging, often mentioned as the gold standard due to its accuracy, is costly and not routinely performed in daily clinical care. Ultrasound of the rectus femoris, however, is low in costs and easily accessible. The aim is to present the current and most recent literature regarding the diagnostic value of ultrasound measurements of the rectus femoris for the diagnosis of sarcopenia in adults.Methods: The databases PubMed and Web of Science were used to search for studies comparing ultrasound of the rectus femoris with a reference test to diagnose sarcopenia in adults. The quality of the final eligible studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies, version 2, tool (QUADAS-2).Results: Six studies were included in this systematic review. The muscle thickness and cross-sectional area of the rectus femoris were assessed and compared with the reference tests CT, Dual-Energy X-ray Absorptiometry (DXA), and Bioelectrical Impedance Analysis (BIA). Half of the studies had a low risk of bias on all QUADAS-2 domains. Three studies reported statistical significant outcomes and diagnostic values ranging from 60 to 81% sensitivity and 51 to 94% specificity.Conclusions: Ultrasound of the rectus femoris muscle to diagnose sarcopenia has been shown to be a promising method in multiple clinical populations. However, there were some limitations such as a high methodological heterogeneity. Future research should develop standardized protocols and determine clear cut-off values to allow for a better implementation of ultrasound in clinical practice. [ABSTRACT FROM AUTHOR]

Introduction: Sarcopenia is a muscle disease that involves loss of muscle strength and physical function and is associated with adverse health effects. Even though sarcopenia has attracted increasing attention in the literature, many research findings have not yet been translated into clinical practice. In this article, we aim to validate a deep learning neural network for automated segmentation of L3 CT slices and aim to explore the potential for clinical utilization of such a tool for clinical practice.Materials and Methods: A deep learning neural network was trained on a multi-centre collection of 3413 abdominal cancer surgery subjects to automatically segment muscle, subcutaneous and visceral adipose tissue at the L3 lumbar vertebral level. 536 Polytrauma subjects were used as an independent test set to show generalizability. The Dice Similarity Coefficient was calculated to validate the geometric similarity. Quantitative agreement was quantified using Bland-Altman's Limits of Agreement interval and Lin's Concordance Correlation Coefficient. To determine the potential clinical usability, randomly selected segmentation images were presented to a panel of experienced clinicians to rate on a Likert scale.Results: Deep learning results gave excellent agreement versus a human expert operator for all of the body composition indices, with Concordance Correlation Coefficient for skeletal muscle index of 0.92, Skeletal muscle radiation attenuation 0.94, Visceral Adipose Tissue index 0.99 and Subcutaneous Adipose Tissue Index 0.99. Triple-blinded visual assessment of segmentation by clinicians correlated only to the Dice coefficient, but had no association to quantitative body composition metrics which were accurate irrespective of clinicians' visual rating.Conclusion: A deep learning method for automatic segmentation of truncal muscle, visceral and subcutaneous adipose tissue on individual L3 CT slices has been independently validated against expert human-generated results for an enlarged polytrauma registry dataset. Time efficiency, consistency and high accuracy relative to human experts suggest that quantitative body composition analysis with deep learning should is a promising tool for clinical application in a hospital setting. [ABSTRACT FROM AUTHOR]