74 research outputs found

    ELIM Hospital - The first 100 Years

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    Elim hospital - The first 100 years

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    Genetic variations in androgen metabolism genes and associations with prostate cancer in South African men

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    Background. In South Africa white men have the highest incidence of prostate cancer (PCa), coloured (mixed ancestry) men have an intermediate incidence, and low incidences are reported for black and Asian men. It has been suggested that ethnic differences in incidence and mortality of PCa are related to genetic variations in genes that regulate androgen metabolism. We investigated the role of genetic variants in the androgen metabolism genes and the probability of developing PCa in South African coloured and white men. Methods. Genotype and allele counts and frequencies of single nucleotide polymorphisms (SNPs) in CYP3A5, CYP3A4 and CYP3A43 were assessed in coloured men (160 case individuals, 146 control individuals) and white men (121 case individuals, 141 control individuals). Results. A genetic association indicating an increased probability of developing PCa was observed with the G allele of the SNP rs2740574 in CYP3A4 in coloured men, the A allele of rs776746 (CYP3A5) and the G allele of rs2740574 (CYP3A4) in white men, and the G allele of rs2740574 and the C allele of rs501275 (CYP3A43) in the combined ethnic groups analysis. In addition, we identified allele combinations (termed haplotypes) with significantly higher frequencies in the PCa case individuals than in the control individuals. Conclusions. The findings support the role of variants in genes that regulate androgen metabolism and the probability of developing PCa. The study paves the way to identify other genetic associations in South African men, and to establish genetic profiles that could be used to determine disease progression and prognosis

    Multi-Target Prediction: A Unifying View on Problems and Methods

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    Multi-target prediction (MTP) is concerned with the simultaneous prediction of multiple target variables of diverse type. Due to its enormous application potential, it has developed into an active and rapidly expanding research field that combines several subfields of machine learning, including multivariate regression, multi-label classification, multi-task learning, dyadic prediction, zero-shot learning, network inference, and matrix completion. In this paper, we present a unifying view on MTP problems and methods. First, we formally discuss commonalities and differences between existing MTP problems. To this end, we introduce a general framework that covers the above subfields as special cases. As a second contribution, we provide a structured overview of MTP methods. This is accomplished by identifying a number of key properties, which distinguish such methods and determine their suitability for different types of problems. Finally, we also discuss a few challenges for future research

    Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries.

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    BACKGROUND: As global initiatives increase patient access to surgical treatments, there remains a need to understand the adverse effects of surgery and define appropriate levels of perioperative care. METHODS: We designed a prospective international 7-day cohort study of outcomes following elective adult inpatient surgery in 27 countries. The primary outcome was in-hospital complications. Secondary outcomes were death following a complication (failure to rescue) and death in hospital. Process measures were admission to critical care immediately after surgery or to treat a complication and duration of hospital stay. A single definition of critical care was used for all countries. RESULTS: A total of 474 hospitals in 19 high-, 7 middle- and 1 low-income country were included in the primary analysis. Data included 44 814 patients with a median hospital stay of 4 (range 2-7) days. A total of 7508 patients (16.8%) developed one or more postoperative complication and 207 died (0.5%). The overall mortality among patients who developed complications was 2.8%. Mortality following complications ranged from 2.4% for pulmonary embolism to 43.9% for cardiac arrest. A total of 4360 (9.7%) patients were admitted to a critical care unit as routine immediately after surgery, of whom 2198 (50.4%) developed a complication, with 105 (2.4%) deaths. A total of 1233 patients (16.4%) were admitted to a critical care unit to treat complications, with 119 (9.7%) deaths. Despite lower baseline risk, outcomes were similar in low- and middle-income compared with high-income countries. CONCLUSIONS: Poor patient outcomes are common after inpatient surgery. Global initiatives to increase access to surgical treatments should also address the need for safe perioperative care. STUDY REGISTRATION: ISRCTN5181700

    Etiology of male urethral strictures-Evaluation of temporal changes at a single center, and review of the literature

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    Geneeskunde en GesondheidswetenskappeUrologiePlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: [email protected]

    Evidence-based medicine versus health care economics in the management of male urethral strictures

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    Epidemiology of Urethral Strictures: Temporal Changes in Etiology and Socio-Demographic Determinants

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    Epidemiology and etiology of male urethral stricture disease in the Western Cape

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