Zollinger-Ellison syndrome and antral G-cell hyperfunction in patients with resistant duodenal ulcer disease

We measured basal and pentagastrin-stimulated acid secretion, as well as basal and meal-stimulated plasma gastrin concentration to determine, in 67 patients affected by resistant duodenal ulcer, whether their condition could be related to gastric acid secretion and/or gastrin-related syndromes. We then compared them to 46 duodenal ulcer control patients. The outpatients were investigated consecutively. The resistant duodenal ulcer patients differed from the controls only in their higher complication rates (bleeding or perforation, P < 0.05). We identified five patients in the resistant duodenal ulcer group with Zollinger-Ellison syndrome and 12 with antral G cell hyperfunction, whereas in the control group only one patient was affected by antral G cell hyperfunction. IgG anti-Helicobacter pylori antibodies were positive for the presence of infection in 7 of the hypergastrinaemic patients. When Zollinger-Ellison syndrome or antral G cell hyperfunction were excluded, no differences could be found in gastric acid secretion, or basal and meal-stimulated plasma gastrin levels, between the resistant and control duodenal ulcer patients, except for basal acid hypersecretion (resistant duodenal ulcer 16% vs duodenal ulcer 2% P = 0.0144). In the presence of duodenal ulcer disease resistant to H2-blockers, it is mandatory to measure basal plasma gastrin concentration since it was possible to diagnose the gastrin-related syndromes, Zollinger-Ellison syndrome and antral G cell hyperfunction, in 26% of this group of patients.     

Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health

Generalized additive models (GAMs) have become the standard tool for the analysis of short-term effects of air pollution on human health. Usually, the confounding effect of seasonality and long-term trend is described by flexible parametric or non-parametric functions of calendar time. Two different modeling strategies, i.e. GAM with penalized regression splines and GAM with regression splines, were compared by means of a simulation study, addressing attention to the inference on air pollutant effect. Simulation results indicated that GAM with regression splines provides negligibly biased estimates of air pollutant effect and it is robust to misspecification of the degrees of freedom of the spline. GAM with penalized regression splines requires a certain amount of undersmoothing in order to reduce the bias of the estimates and to improve the coverage of confidence intervals. These findings agree with asymptotic results developed in the context of partially splined models.     

Omeprazole 20 or 40 mg daily for healing gastroduodenal ulcers in patients receiving non-steroidal anti-inflammatory drugs

Amyloid deposition in skeletal muscle is a well-recognized but rare occurrence. Sixteen such cases seen in a 17-year period (1979 to 1996) out of a total of 3,937 muscle biopsy specimens (0.004%) form this study group. Either Congo red or sulfated alcian blue stains were routinely performed in each biopsy to screen for amyloid. Patients in this study (eight men, eight women) ranged in age from 42 to 90 years (mean, 61 years) at initial presentation. The most common symptoms at presentation included weakness/fatigue (n = 10), autonomic symptoms (n = 8), and weight loss/decreased appetite (n = 7). Five patients had a concomitant malignancy (myeloma, n = 3; malignant carcinoid tumor, n = 1; melanoma, n = 1). Two patients had known hereditary forms of amyloidosis. Five patients had amyloid diagnosed on another organ biopsy (excluding peripheral nerve). Histologically, amyloid was deposited in the interstitium or perivascular region in 14 muscles and endomysial region in seven muscles. All cases were confirmed with Congo red staining (apple green birefringence) or by electron microscopic identification of fibrillary amyloid material. Scattered angular atrophic esterase-positive muscle myofibers indicative of acute denervation atrophy were seen in 14 muscles. Eight muscles showed small group atrophy, and seven showed myofiber type grouping. Scattered regenerating muscle fibers were seen in nine cases, degenerating myofibers in six, and foci of chronic endomysial and perivascular inflammation in two. Four muscles showed type II muscle fiber atrophy. A concomitant sural nerve biopsy specimen was evaluated in seven patients; all seven contained amyloid, confirmed either by Congo red staining or electron microscopic examination. In two nerves, there was a mild loss of myelinated axons; four had a moderate loss, and one, severe loss. Six of seven nerves showed predominantly axonopathic changes. In conclusion, (1) the prevalence rate of amyloid myopathy in muscle biopsy specimens was low (in this series, 0.004%); (2) only a minority of patients had multiple myeloma, and most presented with muscle weakness/fatigue or autonomic symptoms; (3) most of the muscles showed neurogenic features histologically; (4) all concomitant sural nerve biopsy specimens contained amyloid, and most showed a predominance of axonopathic changes.     

Bemerkungen über ein Verfahren zur Errechnung des Formänderungswiderstandes beim Warmwalzen

Reibungszahl und Formänderungsfestigkeit als Unsicherheitsgrößen bei der Berechnung. Merkmale der Verfahrensmethode. Standardisierter Formänderungswiderstand. Vergleich einiger Versuchsergebnisse mit den Rechenergebnissen.     

Anwendung eines elektronischen Rechners für Rundstahlkalibrierungen

Unterteilung der Kalibrierung in drei Kaliberfolgen: Vorwalzung mit geringer Streckung, Kaliberfolge mit großer Streckung und Fertigwalzung. Untersuchung der verschiedenen Kaliberfolgen und Konstruktion der Kaliber. Anwendung eines Rechners.     

Disease mapping in veterinary epidemiology: a Bayesian geostatistical approach

Model-based geostatistics and Bayesian approaches are useful in the context of veterinary epidemiology when point data have been collected by appropriate study design. We take advantage of an example of Epidemiological Surveillance on urban settings where a two-stage sampling design with first stage transects is applied to study the risk of dog parasite infection in the city of Naples, 2004-2005. We specified Bayesian Gaussian spatial exponential models and Bayesian kriging were performed to predict the continuous risk surface of parasite infection on the study region. We compared the results with those obtained by the application of hierarchical Bayesian models on areal data (proportion of positive specimens by transect). The models results were consistent with each other and the Bayesian geostatistical approach proved to be more accurate in identifying areas at risk of zoonotic parasitic diseases. In general, larger risk areas were identified at the city border where wild dogs mixed with domestic dogs and human or urban barriers were less present.     

Heat Transfer in Water-Based SiC and TiO2 Nanofluids

The article reports the results of heat transfer experimental tests on water-based TiO₂ (9 wt%) and SiC (3, 6, 9 wt%) nanofluids. Measurements were performed in a two-loop test rig for immediate comparison of the thermal performances of the nanofluid with the base fluid. The convective heat transfer is evaluated in a circular pipe heated with uniform heat flux (from 20 to 240 kW/m²) and flow regimes from laminar to turbulent. Tests have been performed to compare the heat transfer of nanofluids and water at the same velocity (from 0.7 to 1.6 m/s) or Reynolds number (from 300 to 6000), and they have also been compared with values calculated from some of the most widely used correlations. The analysis of the experimental data shows a strong dependence on the parameter used, while both the nanofluid and water data have the same agreement with the calculated values. Nanofluids were manufactured through a two-step procedure: laser synthesis of nanoparticles followed by dispersion in water.     

Statistical approaches for farm and parasitic risk profiling in geographical veterinary epidemiology

We address the problem of farm and parasitic risk profiling in the context of Veterinary Epidemiology. We take advantage of a cross-sectional study carried out in the Campania Region in order to study the spatial distribution of 16 parasites in 121 ovine farms. We propose a tri-level hierarchical Bayesian model, which account for multivariate spatially structured overdispersion, to obtain estimate of posterior classification probabilities, that is for each parasite and farm the probability to belong to the set of the null hypothesis. We explore four decision rules based on either posterior probabilities or posterior means and compare the results in terms of the number of false discoveries/non-discoveries or the rate of false discovery/non-discovery. Our approach proved useful for parasitological risk profiling and we show that decision rules can be easily handled.