Assessment of interstitial lung disease in Sjögren’s syndrome by lung ultrasound: a pilot study of correlation with high-resolution chest tomography

The background of this study is to assess the accuracy of lung ultrasound (LUS) to diagnose interstitial lung disease (ILD) in Sjögren’s syndrome (Sjs), in patients who have any alterations in pulmonary function tests (PFT) or respiratory symptoms. LUS was correlated with chest tomography (hrCT), considering it as the imaging gold standard technique to diagnose ILD. This is a pilot, multicenter, cross-sectional, and consecutive-case study. The inclusion criteria are ≥18 years old, Signs and symptoms: according to ACEG 2002 criteria, respiratory symptoms (dyspnea, cough), or any alterations in PFR. LUS was done following the International Consensus Conference on Lung Ultrasound protocol for interstitial syndrome (B pattern). Of the 50 patients in follow-up, 13 (26%) met the inclusion criteria. All were women with age 63.62 years (range 39–88). 78.6% of the cases had primary Sjs (SLE, RA, n = 2). The intra-rater reliability k is 1, according to Gwet’s Ac1 and GI index (probability to concordance—e(K)—, by Cohen, of 0.52). LUS has a sensitivity of 1 (95% CI 0.398–1.0), specificity of 0.89 (95% CI 0.518–0.997), and a positive probability reason of 9.00 (95% CI 7.1–11.3) to detect ILD. The correlation of Pearson is r = 0.84 (p < 0.001). To check the accuracy of LUS to diagnose ILD, a completely bilateral criterion of yes/no for interstitial pattern was chosen, AUC reaches significance, 0.94 (0.07) (95% CI 0.81–1.0, p = 0.014). LUS reaches an excellent correlation to hrCT in Sjs affected with ILD, and might be a useful technique in daily clinical practice for the assessment of pulmonary disease in the sicca syndrome. © 2016 SIMI

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.

Smoothing a Discrete Hazard Function for the Number of Patients Colonized with Methicillin-Resistance Staphylococcus Aureus in an Intensive Care Unit

A new method for estimating the time to colonization of Methicillin-resistant Staphylococcus Aureus (MRSA) patients is developed in this paper. The time to colonization of MRSA is modelled using a Bayesian smoothing approach for the hazard function. There are two prior models discussed in this paper: the first difference prior and the second difference prior. The second difference prior model gives smoother estimates of the hazard functions and, when applied to data from an intensive care unit (ICU), clearly shows increasing hazard up to day 13, then a decreasing hazard. The results clearly demonstrate that the hazard is not constant and provide a useful quantification of the effect of length of stay on the risk of MRSA colonization which provides useful insight.