A decision support system for the treatment of patients with ventricular assist device support.

BACKGROUND: Heart failure (HF) is affecting millions of people every year and it is characterized by impaired ventricular performance, exercise intolerance and shortened life expectancy. Despite significant advancements in drug therapy, mortality of the disease remains excessively high, as heart transplant remains the gold standard treatment for end-stage HF when no contraindications subsist. Traditionally, implanted Ventricular Assist Devices (VADs) have been employed in order to provide circulatory support to patients who cannot survive the waiting time to transplantation, reducing the workload imposed on the heart. In many cases that process could recover its contractility performance. OBJECTIVES: The SensorART platform focuses on the management and remote treatment of patients suffering from HF. It provides an interoperable, extendable and VAD-independent solution, which incorporates various hardware and software components in a holistic approach, in order to improve the quality of the patients' treatment and the workflow of the specialists. This paper focuses on the description and analysis of Specialist's Decision Support System (SDSS), an innovative component of the SensorART platform. METHODS: The SDSS is a Web-based tool that assists specialists on designing the therapy plan for their patients before and after VAD implantation, analyzing patients' data, extracting new knowledge, and making informative decisions. RESULTS: SDSS offers support to medical and VAD experts through the different phases of VAD therapy, incorporating several tools covering all related fields; Statistics, Association Rules, Monitoring, Treatment, Weaning, Speed and Suction Detection. CONCLUSIONS: SDSS and its modules have been tested in a number of patients and the results are encouraging.

Regional variation in use of immediate breast reconstruction after mastectomy for breast cancer in England.

AIMS: English national guidelines recommend that breast reconstruction is made available to women with breast cancer undergoing mastectomy. We examined the use of immediate reconstruction (IR) across English Cancer Networks, who are responsible for the regional organisation of cancer services and ensuring equitable access to treatment. METHODS: We analysed Hospital Episodes Statistics data for all women with breast cancer who underwent mastectomy in the English NHS between April 2006 and February 2009. IR rates were calculated for the 30 Networks. Multivariable logistic regression was used to adjust the rates for patient age, comorbidity, ethnicity and socioeconomic deprivation. RESULTS: Of 44 837 mastectomy patients, 7375 (16.5%) underwent IR. The IR rate was highest in women under 50 years (32.7%) and lowest in women aged 70 years or over (1.5%), and was lower in women with more comorbidities. Unadjusted IR rates varied from 8.4% to 31.9% among the 30 Networks (p<0.001). Adjusting for their patient characteristics did not appreciably reduce Network-level variation, with adjusted IR rates still ranging from 8.0% to 29.4% (p<0.001). The risk-model also suggested that non-white women and those from more deprived areas were less likely to undergo immediate reconstruction. CONCLUSIONS: There is substantial regional variation in immediate reconstruction use in England that is not explained by the characteristics of the local patient population. English Cancer Networks should act to reduce this variation. They should also examine why rates of reconstruction differ between particular patient groups.

Risk factors for cataract subtypes waterclefts and retrodots: two case-control studies.

UNLABELLED: Waterclefts and retrodots are independently associated with visual impairment, yet a review identified no data on risk factors. PURPOSE: To investigate risk factors for these two human lens cataract subtypes. METHOD: Two nested case-control studies: The host study comprised 1078 subjects (55 years) attending the Somerset and Avon Eye Study (SAES). In total, 197 watercleft cases (Oxford grade 0.2 in either eye) and 199 retrodot cases (Oxford grade 1.0 in either eye) were individually age/gender matched to controls. Detailed ophthalmic and potential risk factor data were collected, including body mass index (BMI), smoking, alcohol, diabetes, hypertension, analgesics, vitamin supplementation, nutrition, sunlight exposure, dehydration, hormonal (women), blood lipids, glucose, urea, creatinine, uric acid, and vitamin levels. RESULTS: For waterclefts, univariable analysis identified BMI, alcohol intake, vitamin status, sunlight, urea, creatinine, and uric acid as possible risk factors. Multivariable analysis identified two independent associations. Total number of 'any' analgesics in the previous year: adjusted P<0.01 (U-shaped risk profile, unadjusted high vs medium use (=reference) OR 2.39, 95% CI 1.35-4.26 with medium use vs none (=reference) OR 0.43, 95% CI 0.26-0.72); total sunlight: adjusted P=0.03 (unadjusted highest exposure vs lowest (=reference) OR 3.25, 95% CI 1.11-9.50). For retrodots, univariable analysis identified alcohol, HRT, and lipids. Multivariable analysis identified two independent associations. Mean number of alcohol units consumed per month, adjusted P=0.02 and HDL cholesterol levels, adjusted P=0.02 (unadjusted ORs NS both). CONCLUSION: This is the first available published information on risk factors for the human cataractous lens features waterclefts and retrodots.