Lung contusion and cavitation with exudative plural effusion following extracorporeal shock wave lithotripsy in an adult: a case report

<p>Abstract</p> <p>Introduction</p> <p>Among the complications of extracorporeal shock wave lithotripsy are perinephric bleeding and hypertension.</p> <p>Case presentation</p> <p>We describe the case of a 31-year-old Asian man with an unusual case of hemoptysis and lung contusion and cavitation with exudative plural effusion due to pulmonary trauma following false positioning of extracorporeal shock wave lithotripsy. Differential diagnoses included pneumonia and pulmonary emboli, but these diagnoses were ruled out by the uniformly negative results of a lung perfusion scan, Doppler ultrasound, and culture of bronchoalveolar lavage and plural effusion, and because our patient showed spontaneous improvement.</p> <p>Conclusions</p> <p>False positioning of extracorporeal shock wave lithotripsy can cause lung trauma presenting as pulmonary contusion and cavitation with plural effusion.</p

Heritage Quay: What Will You Discover? Transforming the Archives of the University of Huddersfield, Yorkshire, UK

The Heritage Quay project is changing how archive services at the University of Huddersfield are delivered. This article examines how the Staff/Space/Collections dependency model and Customer Service Excellence framework have been used, and what lessons can be drawn for other archives

Modelling Survival Events with Longitudinal Covariates Measured with Error

In survival analysis, time-dependent covariates are usually present as longitudinal data collected periodically and measured with error. The longitudinal data can be assumed to follow a linear mixed effect model and Cox regression models may be used for modelling of survival events. The hazard rate of survival times depends on the underlying time-dependent covariate measured with error, which may be described by random effects. Most existing methods proposed for such models assume a parametric distribution assumption on the random effects and specify a normally distributed error term for the linear mixed effect model. These assumptions may not be always valid in practice. In this article, we propose a new likelihood method for Cox regression models with error-contaminated time-dependent covariates. The proposed method does not require any parametric distribution assumption on random effects and random errors. Asymptotic properties for parameter estimators are provided. Simulation results show that under certain situations the proposed methods are more efficient than the existing methods. © 2013 Copyright Taylor and Francis Group, LLC

Outdoor Study Session, number 2

Five people sit on step outdoor for group study. Physical description: color prints (photographs)8.5X12.5m

Outdoor Study Session, number 2

Five people sit on step outdoor for group study. Physical description: color prints (photographs)8.5X12.5m

Small Group Studying

A study group or project team of four students at a round table. Physical description: color prints (photographs)8.5X12.5m

Outdoor Study Session, number 1

Group study with five people. Physical description: color prints (photographs)8.5X12.5m

Small Group Studying

A study group or project team of four students at a round table. Physical description: color prints (photographs)8.5X12.5m

Outdoor Study Session, number 1

Group study with five people. Physical description: color prints (photographs)8.5X12.5m