Two randomised and placebo-controlled studies of an oral prostacyclin analogue (Iloprost) in severe leg ischaemia [The Oral Iloprost in severe Leg Ischaemia Study Group]

Two separate studies are described using the same prostacyclin analogue in a similar group of patients. Objectives: to assess the tolerability and efficacy of two dose regimens of oral Iloprost compared with placebo in the treatment of patients with ischaemic ulcers, gangrene or rest pain due to severe arterial disease over a period of 4 weeks (Study A) and one year (Study B). Design: multicentre, placebo controlled, double-blind, randomized prospective studies. Subjects & Methods: 178 (study A) and 624 (study B) patients with trophic skin lesions (ulcers or gangrene) or ischaemic rest pain due to severe arterial disease. To confirm severe arterial disease patients were required to have a systolic ankle Doppler pressure of 70 mmHg or less or a toe systolic Doppler pressure of 50 mmHg or less in one leg.In both studies patients were randomly allocated to three treatment groups: placebo, low dose Iloprost (50\u2013100 g twice a day) or high dose (150\u2013200 g twice a day) In Study A the main outcome measures were tolerability of different doses of Iloprost and death, major amputation, healing of trophic lesions and relief of rest pain at the end of the follow up, which was 5 months after the end of the treatment. In Study B the primary end point was time to major amputation and stroke or death up to 12 months. Secondary pre-defined end points included the combined end point of patients alive without amputation, no trophic skin changes, no rest pain and not on regular analgesics. Results: the proportion of patients who completed the 4-week treatment period in Study A at the intended dose was 58%, 43%, 45% respectively in the placebo, low dose and high dose Iloprost groups. In an intention to treat analysis the proportion of patients who survived without major amputation, ulcers or gangrene and had no rest pain was 11% in the placebo group, 19% in the low dose iloprost group and 28% in the high dose Iloprost group. The pooled Iloprost groups showed a statistically significantly better result than the placebo group (p=0.04), as did the high dose Iloprost group compared to the placebo (p=0.014). In Study B there was no treatment benefit in terms of a primary end point of amputation and death. However the secondary combined end point of patients who survived without a major amputation, ulcers or gangrene and had no rest pain, nor a need for regular analgesia was favourable for Iloprost, with 18% of patients in the placebo group reaching this optimal secondary end point, compared to 23% in the low dose Iloprost group and 26% in the higher dose Iloprost group (p<0.05). Conclusions: oral Iloprost administered for a year showed no clear benefit in patients with advanced severe leg ischaemia (PAOD III and IV). The results obtained with 4 weeks\u2019 treatment in Study A and in previous trials of intravenous Iloprost could not be reproduce

Design Patterns from Biology for Distributed Computing

Recent developments in information technology have brought about important changes in distributed computing. New environments have emerged such as massively large-scale wide area computer networks and mobile ad hoc networks. These new environments are extremely dynamic, unreliable and often large-scale. Traditional approaches to designing distributed applications based on central control, small scale or strict reliability assumptions are not suitable for exploiting the enormous potential of these environments. Based on the observation that living organisms efficiently organize a large number of unreliable and dynamically changing components (cells, molecules, individuals of a population, etc) it has long been an interesting area of research to try to figure out what are the key ideas that make biological systems work and to apply these ideas in distributed systems engineering. In this paper we propose a conceptual framework that captures a few basic biological processes such as plain diffusion, reaction-diffusion, proliferation, etc. We show through examples how to implement practically relevant functions based on these ideas. Using a common evaluation methodology, we show that these applications have state-of-the-art effectivity and performance while they inherit some nice properties of biological systems, such as adaptivity and robustness to failure