The experience of individuals with renal failure participating in home haemodialysis: An interpretative phenomenological analysis.

This study explored the experience of individuals with renal failure undertaking home haemodialysis (HHD). Semi-structured interviews were conducted with six participants who were active HHD users in a UK region. Participants’ accounts were transcribed verbatim and analysed using an interpretative phenomenological approach. Three main themes were identified: (1) embracing treatment and lifestyle freedom and flexibility; (2) re-establishing a sense of self and preferred self-identity; and (3) integrating aspects of active engagement and aspects of supported, life-sustaining dependence. A ‘good fit’ between the HHD user (an independent, self-determined health participant) and the healthcare provision (personalized, enabling) is proposed.

Scaling in the time-dependent failure of a fiber bundle with local load sharing

We study the scaling behaviors of a time-dependent fiber-bundle model with local load sharing. Upon approaching the complete failure of the bundle, the breaking rate of fibers diverges according to r(t)proportional to(T-f-t)(-xi) where T-f is the lifetime of the bundle and xi approximate to 1.0 is a universal scaling exponent. The average lifetime of the bundle [T-f] scales with the system size as N-delta, where delta depends on the distribution of individual fiber as well as the breakdown rule. [S1063-651X(99)13902-3].

Failure of fiber bundles with local load sharing

We develop a recursion-relation approach for calculating the failure probabilities of a fiber bundle with local load sharing. This recursion relation is exact, so it provides a way to test the validity of the various approximate methods. Applying the exact calculation to uniform and Weibull threshold distributions, we find that the most probable failure load coincides with the average strength as the size of the system N --> infinity.

Donor identification and consent for deceased organ donation: summary of NICE guidance.

Organ donation plays a major role in the management of patients with single organ failure of the kidneys, liver, pancreas, heart, or lung, or with combined organ failure of heart and lung (such as in cystic fibrosis) or of kidney and pancreas (such as in diabetes). A shortage of transplant organs has resulted in long waits for transplantation. Currently about 500 people in the United Kingdom die each year because of a shortage of donated organs,1 and at 31 March 2011 almost 7000 patients were waiting for a kidney transplant1 and would be having costly dialysis with serious morbidity and impact on quality of life. This shortage of organs is partly the result of relatively low numbers of road traffic deaths (lower than in many countries) but is also the result of inefficiencies in the donor identification and consent processes. This article summarises the most recent recommendations from the National Institute for Health and Clinical Excellence (NICE) on improving donor identification and consent rates for deceased organ donation.2

Confirmatory method for the determination of various acetylgestagens in animal kidney fat using liquid chromatography-tandem mass spectrometry

A confirmatory method has been developed and validated that allows for the simultaneous detection of medroxyprogesterone acetate (MPA), megestrol acetate (MGA), melengestrol acetate (MLA), chlormadinone acetate (CMA) and delmadinone acetate (DMA) in animal kidney fat using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The compounds were extracted from kidney fat using acetonitrile, defatted using a hexane wash and subsequent saponification. Extracts were then purified on Isolute CN solid-phase extraction cartridges and analysed by LC-MS/MS. The method was validated in animal kidney fat in accordance with the criteria defined in Commission Decision 2002/657/EC. The decision limit (CC) was calculated to be 0.12, 0.48, 0.40, 0.63 and 0.54 g kg-1, respectively, for MPA, MGA, MLA, DMA and CMA, with respective detection capability (CC) values of 0.20, 0.81, 0.68, 1.07 and 0.92 g kg-1. The measurement uncertainty of the method was estimated at 16, 16, 19, 27 and 26% for MPA, MGA, MLA, DMA and CMA, respectively. Fortifying kidney fat samples (n = 18) in three separate assays showed the accuracy of the method to be between 98 and 100%. The precision of the method, expressed as % RSD, for within-laboratory reproducibility at three levels of fortification (1, 1.5 and 2 g kg-1 for MPA, 5, 7.5 and 10 g kg-1 for MGA, MLA, DMA and CMA) was less than 5% for all analytes.