Andreas Vécsei

Herd immunity after two years of the universal mass vaccination program against rotavirus gastroenteritis in Austria

Austria was the first country in Europe implementing a universal mass vaccination program against rotavirus gastroenteritis (RV-GE) for all infants nationwide. Epidemiological data from a hospital based surveillance system show that incidence rates of children hospitalized with RV-GE decreased in 2009 compared to 2008 and compared to the prevaccination period 2001-2005. Decreasing hospitalization-rates from RV-GE were observed in children of all age groups, even in those not eligible for vaccination according to their age, suggesting herd immunity induced by universal mass vaccination against RV-GE. In 2009 the disease burden was highest in children below three months of age stressing the importance of the early start of the immunization course.

Sustained low hospitalization rates after four years of rotavirus mass vaccination in Austria.

This hospital based surveillance study evaluates the effects of the rotavirus mass vaccination program, which was initiated in Austria in August 2007. Since then, incidence rates of rotavirus hospitalizations in children <15 years of age have decreased by 70% and 64% in 2010 and 2011 compared to the pre-vaccination era (2001-2005). Incidence rates were highest in children <90 days of age, highlighting the importance of the early start of active rotavirus immunization. In children between 2 and 3.5 years in 2011, who were in the second and third year after vaccination in the universal mass vaccination program, incidence rates remained low suggesting sustained protection after vaccination up to three years. In the years 2010 and 2011, field effectiveness of the vaccines was between 79% and 96%, depending on the assumptions made for children without information on vaccination history. From genotyping an increase of the prevalence of G2P[4] in children with breakthrough infection (disease despite vaccination) can be suspected. The rate of severe adverse events was 1.3-1.5 per 10(-5) administered doses of rotavirus vaccines and no death, intussusception or Kawasaki disease was reported in 2010 and 2011 following rotavirus vaccination.

Color treatment in endoscopic image classification using multi-scale local color vector patterns

Graphical abstract In this work we propose a novel multi-scale operator which is based on the full color information within an image. In order to evaluate the method, we extract features from endoscopic images using this operator and classify the images according to the respective class of polyps. Highlights ► Compared to other LBP-based operators LCVP uses all color information available, yet yielding a more compact descriptor for an image. ► LCVP is up to 7.5 times faster compared to other LBP-based methods evaluated. ► In terms of a classification of polyps the accuracy of LCVP differs insignificantly only from previously developed methods.

Automated Marsh-like classification of celiac disease in children using local texture operators

Automated classification of duodenal texture patches with histological ground truth in case of pediatric celiac disease is proposed. The classical focus of classification in this context is a two-class problem: mucosa affected by celiac disease and unaffected duodenal tissue. We extend this focus and apply classification according to a modified Marsh scheme into four classes. In addition to other techniques used previously for classification of endoscopic imagery, we apply local binary pattern (LBP) operators and propose two new operator types, one of which adapts to the different properties of wavelet transform subbands. The achieved results are promising in that operators based on LBP turn out to achieve better results compared to many other texture classification techniques as used in earlier work. Specifically, the proposed wavelet-based LBP scheme achieved the best overall accuracy of all feature extraction techniques considered in the two-class case and was among the best in the four-class scheme. Results also show that a classification into four classes is feasible in principle however when compared to the two-class case we note that there is still room for improvement due to various reasons discussed.

Risk factors for peritonitis in pediatric peritoneal dialysis: a single-center study.

Recent US registry data and a European multicenter study described increased risk of peritonitis in young children on peritoneal dialysis (PD). No underlying age-specific risk factors could be defined in these reports. Therefore, we analyzed risk factors for peritonitis in children treated by PD as primary renal replacement therapy at the Kinderdialyse, Vienna, and particularly searched for age-specific aspects. Thirty children (15 boys, mean age 4.6 years) received PD [21 automated peritoneal dialysis (APD), nine continuous ambulatory peritoneal dialysis (CAPD)] for 13 months (3–49 months). During the total observation period of 395 dialysis months, 27 peritonitis episodes were diagnosed (1:14.6 months or 0.82/patient per year). Of our population, 43% remained peritonitis free; seven patients suffered from more than one peritonitis episode. Ten potential risk factors [age, gender, PD modality, duration of PD, exit-site status, urine volume, residual glomerular filtration rate (GFR), Kt/V, normalized protein catabolic rate (nPCR), albumin] and four indices of peritonitis outcome (peritonitis incidence, peritonitis burden, risk of suffering more than one episode of peritonitis and chance of staying free from peritonitis) were analyzed. Our study identified six risk factors in univariate analysis, namely age, APD treatment, exit-site infections, low urinary volume, low residual GFR and low nPCR, which were significantly correlated with two or more of the outcome indices. Multivariate analysis identified exit-site infection and residual urine volume as strong independent predictors. In summary, our study identified several age-dependent and age-independent risk factors for peritonitis in pediatric PD. These data demonstrate that the risk for peritonitis in small children is not pre-determined but might be open to therapeutic interventions, such as optimizing exit-site care, dialysis prescription and nutrition management.

Stool Polymerase Chain Reaction for Helicobacter pylori Detection and Clarithromycin Susceptibility Testing in Children

BACKGROUND & AIMS This study was undertaken in a pediatric gastroenterology clinic to retrospectively evaluate a real-time polymerase chain reaction (PCR) for the detection and clarithromycin susceptibility testing of Helicobacter pylori using stool specimens. METHODS All consecutive children who underwent a gastroscopy between March 2006 and February 2009 and also having been examined by stool PCR were enrolled. Rapid urease test, histology, and culture were the reference methods for the detection of H pylori and E-test for susceptibility testing, respectively. RESULTS A total of 143 children (mean age, 10.8 y; range, 2.8-17.9; males:females, 1:1.5) were evaluable. Sensitivity, specificity, and test accuracy for the detection of H pylori were 83.8%, 98.4%, and 90.2%, respectively. Sensitivity, specificity, and accuracy for the detection of clarithromycin resistance were 89.2%, 100%, and 94.0%, respectively. CONCLUSIONS Stool PCR was a reliable and useful noninvasive tool for detection and clarithromycin susceptibility testing of H pylori in a pediatric population with a high prevalence of clarithromycin-resistant strains.

Scale invariant texture descriptors for classifying celiac disease

Graphical abstract Highlights ► We test several approaches for the computer assisted diagnosis of celiac disease. ► Only scale invariant techniques are considered. ► The scale invariance of the approaches is explicitly assessed. ► Some of the methods improve the state of the art in detecting celiac disease. ► The approaches are distinctly less scale invariant than expected.

Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps

In this paper, we show that zoom-endoscopy images can be well classified according to the pit-pattern classification scheme by using texture-analysis methods in different wavelet domains. We base our approach on three different variants of the wavelet transform and propose that the color channels of the RGB and LAB color model are an important source for computing image features with high discriminative power. Color-channel information is incorporated by either using simple feature vector concatenation and cross-cooccurrence matrices in the wavelet domain. Our experimental results based on k-nearest neighbor classification and forward feature selection exemplify the advantages of the different wavelet transforms and show that color-image analysis is superior to grayscale-image analysis regarding our medical image classification problem.

Time trends of Helicobacter pylori resistance to antibiotics in children living in Vienna, Austria.

Background:  Increase of antibiotic resistance is a worldwide problem. Within the 4 years before the turn of the millennium Helicobacter pylori strains isolated in children living in Vienna, Austria, showed a primary clarithromycin and metronidazole resistance of 20% and 16%, respectively. The aim of this retrospective follow‐up survey was to assess the further development and current antimicrobial resistance status.

Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images

In this article, we discuss the discriminative power of a set of image features, extracted from detail subbands of the Gabor wavelet transform and the dual-tree complex wavelet transform for the purpose of computer-assisted zoom-endoscopy image classification. We incorporate color channel information into the classification process and show that this leads to superior classification results, compared to luminance-channel-only-based image analysis.