Hidden bedside rationing in the Netherlands:a cross-sectional survey among physicians in internal medicine

Background: Healthcare rationing can be defined as withholding beneficial care for cost reasons. One form in particular, hidden bedside rationing, is problematic because it may result in conflicting loyalties for physicians, unfair inequality among patients and illegitimate distribution of resources. Our aim is to establish whether bedside rationing occurs in the Netherlands, whether it qualifies as hidden and what physician characteristics are associated with its practice. Methods: Cross-sectional online questionnaire on knowledge of -, experience with -, and opinion on rationing among physicians in internal medicine within the Dutch healthcare system. Multivariable ordinal logistic regression was used to explore relations between hidden bedside rationing and physician characteristics. Results: The survey was distributed among 1139 physicians across 11 hospitals with a response rate of 18% (n = 203). Most participants (n = 129; 64%) had experience prescribing a cheaper course of treatment while a more effective but more expensive alternative was available, suggesting bedside rationing. Subsequently, 32 (24%) participants never disclosed this decision to their patient, qualifying it as hidden. The majority of participants (n = 153; 75%) rarely discussed treatment cost. Employment at an academic hospital was independently associated with more bedside rationing (OR = 17 95%CI 6.1–48). Furthermore, residents were more likely to disclose rationing to their patients than internists (OR = 3.2, 95%CI 2.1–4.7), while salaried physicians were less likely to do so than physicians in private practice (OR = 0.5, 95%CI 0.4–0.8). Conclusion: Hidden bedside rationing occurs in the Netherlands: patient choice is on occasion limited with costs as rationale and this is not always disclosed. To what extent distribution of healthcare should include bedside rationing in the Netherlands, or any other country, remains up for debate.</p

Excluding venous thromboembolism using point of care D-dimer tests in outpatients: a diagnostic meta-analysis

Objective To review the evidence on the diagnostic accuracy of the currently available point of care D-dimer tests for excluding venous thromboembolism

Minimally invasive pediatric surgery: Increasing implementation in daily practice and resident’s training

Background: In 1998, the one-year experience in minimally invasive abdominal surgery in children at a pediatric training center was assessed. Seven years later, we determined the current status of pediatric minimally invasive surgery in daily practice and surgical training. Methods: A retrospective review was undertaken of all children with intra-abdominal operations performed between 1 January 2005 and 31 December 2005. Results: The type of operations performed ranged from common interventions to demanding laparoscopic procedures. 81% of all abdominal procedures were performed laparoscopically, with a complication rate stable at 6.9%, and conversion rate decreasing from 10% to 7.4%, compared to 1998. There were six new advanced laparoscopic procedures performed in 2005 as compared to 1998. The children in the open operated group were significantly smaller and younger than in the laparoscopic group (p < 0.001 and p = 0.001, respectively). The majority (64.2%) of the laparoscopic procedures were performed by a trainee. There was no difference in the operating times of open versus laparoscopic surgery, or of procedures performed by trainees versus staff surgeons. Laparoscopy by trainees did not have a negative impact on complication or conversion rates. Conclusions: Laparoscopy is an established approach in abdominal procedures in children, and does not hamper surgical training

Effects of avitriptan, a new 5 HT(1B/1D) receptor agonist, in experimental models predictive of antimigraine activity and coronary side-effect potential

Abstract Several acutely acting antimigraine drugs, including ergotamine and sumatriptan, have the ability to constrict porcine arteriovenous anastomoses as well as the human isolated coronary artery. These two experimental models seem to serve as indicators, respectively, f

A unifying probabilistic framework for analyzing residual dipolar couplings

Residual dipolar couplings provide complementary information to the nuclear Overhauser effect measurements that are traditionally used in biomolecular structure determination by NMR. In a de novo structure determination, however, lack of knowledge about the degree and orientation of molecular alignment complicates the analysis of dipolar coupling data. We present a probabilistic framework for analyzing residual dipolar couplings and demonstrate that it is possible to estimate the atomic coordinates, the complete molecular alignment tensor, and the error of the couplings simultaneously. As a by-product, we also obtain estimates of the uncertainty in the coordinates and the alignment tensor. We show that our approach encompasses existing methods for determining the alignment tensor as special cases, including least squares estimation, histogram fitting, and elimination of an explicit alignment tensor in the restraint energy

Cerebroplacental ratio in predicting adverse perinatal outcome : a meta-analysis of individual participant data

Acknowledgement We would like thank Dr F. Figueras, Prof. E. Gratacos, Dr F. Crispi and Dr J. Miranda for sharing data for this project. The CPR IPD Study Group: Asma Khalil (Fetal Medi- cine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Lon- don, UK), Basky Thilaganathan (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s Univer- sity of London, London, UK; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, London, UK), Ozhan M Turan (Departments of Obstetrics, Gynecology and Repro- ductive Sciences, University of Maryland School of Medi- cine, Baltimore, MD, USA), Sarah Crimmins (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Chris Harman (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Alis- son M Shannon (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Sailesh Kumar (School of Medicine, The University of Queensland, Brisbane, QLD, Australia; Mater Research Institute – University of Queensland, South Brisbane, QLD, Australia), Patrick Dicker (Department of Epidemiology and Public Health, Royal College of Surgeons in Ireland), Fergal Malone (Departments of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland), Elizabeth C Tully (Departments of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland), Julia Unterscheider (Department of Maternal Fetal Medicine, The Royal Women’s Hospital, Melbourne, VIC, Australia), Isabella Crippa (Department of Obstetrics and Gynaecology, University of Milano-Bicocca, Monza, Italy), Alessandro Ghidini (Department of Obstetrics and Gynae- cology, University of Milano-Bicocca, Monza, Italy), Nadia Roncaglia (Department of Obstetrics and Gynaecology, University of Milano-Bicocca, Monza, Italy), Patrizia Ver- gani (Department of Obstetrics and Gynaecology, Univer- sity of Milano-Bicocca, Monza, Italy), Amarnath Bhide (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK), Fran- cesco D’Antonio (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK), Gianluigi Pilu (Policlinico S. Orsola-Mal- pighi, University of Bologna, Bologna, Italy), Alberto Galindo (Fetal Medicine Unit-SAMID, Department of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Com- plutense University of Madrid, Madrid, Spain), Ignacio Herraiz (Fetal Medicine Unit-SAMID, Department of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Com- plutense University of Madrid, Madrid, Spain), Alicia Vazquez-Sarandeses(FetalMedicineUnit-SAMID,Depart- ment of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Complutense University of Madrid, Madrid, Spain), Cath- rine Ebbing (Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway), Synnøve L Johnsen (Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway), Henriette O Karlsen (Research Group for Pregnancy, Fetal Develop- ment and Birth, Department of Clinical Science, University of Bergen, Bergen, Norway).Peer reviewedPublisher PD

Differences in Atherosclerotic Plaque Burden and Morphology Between Type 1 and 2 Diabetes as Assessed by Multislice Computed Tomography

OBJECTIVE It is unclear whether the coronary atherosclerotic plaque burden is similar in patients with type 1 and type 2 diabetes. By using multislice computed tomography (MSCT), the presence, degree, and morphology of coronary artery disease (CAD) in patients with type 1 and type 2 diabetes were compared. RESEARCH DESIGN AND METHODS Prospectively, coronary artery calcium (CAC) scoring and MSCT coronary angiography were performed in 135 asymptomatic patients (65 patients with type 1 diabetes and 70 patients with type 2 diabetes). The presence and extent of coronary atherosclerosis as well as plaque phenotype were assessed and compared between groups. RESULTS No difference was observed in average CAC score (217 +/- 530 vs. 174 +/- 361) or in the prevalence of coronary atherosclerosis (65% vs. 71%) in patients with type 1 and type 2 diabetes. However, the prevalence of obstructive atherosclerosis was higher in patients with type 2 diabetes (n = 24; 34%) compared with that in patients with type 1 diabetes (n = 11; 17%) (P = 0.02). In addition, a higher mean number of atherosclerotic and obstructive plaques was observed in patients with type 2 diabetes. In addition, the percentage of noncalcified plaques was higher in patients with type 2 (66%) versus type 1 diabetes (27%) (P <0.001), resulting in a higher plaque burden for each CAC score compared with that in type 1 diabetic patients. CONCLUSIONS Although CAC scores and the prevalence of coronary atherosclerosis were similar between patients with type 1 and type 2 diabetes, CAD was more extensive in the latter. Also, a relatively higher proportion of noncalcified plaques was observed in patients with type 2 diabetes. These observations may be valuable in the development of targeted management strategies adapted to diabetes typ

Predictive Value of Multislice Computed Tomography Variables of Atherosclerosis for Ischemia on Stress-Rest Single Photon Emission Computed Tomography (SPECT)

BACKGROUND: -Previous studies have shown that the presence of stenosis alone on multislice computed tomography (MSCT) has a limited positive predictive value for the presence of ischemia on myocardial perfusion imaging (MPI). The purpose of this study was to assess which variables of atherosclerosis on MSCT angiography are related to ischemia on MPI. METHODS AND RESULTS: -Both MSCT and MPI were performed in 514 patients. On MSCT, the calcium score, degree of stenosis (>/=50% and >/=70% stenosis), plaque extent and location were determined. Plaque composition was classified as non-calcified, mixed or calcified. Ischemia was defined as a summed difference score >/=2 on a per patient basis. Ischemia was observed in 137 patients (27%). On a patient basis, multivariate analysis showed that the degree of stenosis (presence of >/=70% stenosis, OR 3.5), plaque extent and composition (mixed plaques >/=3, OR 1.7 and calcified plaques >/=3, OR 2.0) and location (atherosclerotic disease in left main coronary artery and/or proximal left anterior descending coronary artery, OR 1.6) were independent predictors for ischemia on MPI. In addition, MSCT variables of atherosclerosis such as plaque extent, composition and location had significant incremental value for the prediction of ischemia over the presence of >/=70% stenosis. CONCLUSIONS: -In addition to the degree of stenosis, MSCT variables of atherosclerosis describing plaque extent, composition and location are predictive of the presence of ischemia on MPI

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

OBJECTIVES:To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND:Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. METHODS:Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA), coronary sinus (CS), right ventricular wall (RVW) and left atrial wall (LAW) were annotated as ground truth. The U-net-derived deep learning model was trained, validated and tested in a 70:20:10 split. RESULTS:The dataset comprised 206 patients, with 5.130 billion pixels. Mean age was 59.9 ± 9.4 yrs., and was 42.7% female. An overall median Dice score of 0.820 (0.782, 0.843) was achieved. Median Dice scores for PAA, DA, SVC, IVC, PA, CS, RVW and LAW were 0.969 (0.979, 0.988), 0.953 (0.955, 0.983), 0.937 (0.934, 0.965), 0.903 (0.897, 0.948), 0.775 (0.724, 0.925), 0.720 (0.642, 0.809), 0.685 (0.631, 0.761) and 0.625 (0.596, 0.749) respectively. Apart from the CS, there were no significant differences in performance between sexes or age groups. CONCLUSIONS:An automated deep learning model demonstrated segmentation of multiple cardiovascular structures from CCTA images with reasonable overall accuracy when evaluated on a pixel level