Genetic Markers Enhance Coronary Risk Prediction in Men: The MORGAM Prospective Cohorts

Background: More accurate coronary heart disease (CHD) prediction, specifically in middle-aged men, is needed to reduce the burden of disease more effectively. We hypothesised that a multilocus genetic risk score could refine CHD prediction beyond classic risk scores and obtain more precise risk estimates using a prospective cohort design.

Methods: Using data from nine prospective European cohorts, including 26,221 men, we selected in a case-cohort setting 4,818 healthy men at baseline, and used Cox proportional hazards models to examine associations between CHD and risk scores based on genetic variants representing 13 genomic regions. Over follow-up (range: 5-18 years), 1,736 incident CHD events occurred. Genetic risk scores were validated in men with at least 10 years of follow-up (632 cases, 1361 non-cases). Genetic risk score 1 (GRS1) combined 11 SNPs and two haplotypes, with effect estimates from previous genome-wide association studies. GRS2 combined 11 SNPs plus 4 SNPs from the haplotypes with coefficients estimated from these prospective cohorts using 10-fold cross-validation. Scores were added to a model adjusted for classic risk factors comprising the Framingham risk score and 10-year risks were derived.

Results: Both scores improved net reclassification (NRI) over the Framingham score (7.5%, p = 0.017 for GRS1, 6.5%, p = 0.044 for GRS2) but GRS2 also improved discrimination (c-index improvement 1.11%, p = 0.048). Subgroup analysis on men aged 50-59 (436 cases, 603 non-cases) improved net reclassification for GRS1 (13.8%) and GRS2 (12.5%). Net reclassification improvement remained significant for both scores when family history of CHD was added to the baseline model for this male subgroup improving prediction of early onset CHD events.

Conclusions: Genetic risk scores add precision to risk estimates for CHD and improve prediction beyond classic risk factors, particularly for middle aged men.

A longitudinal study of coping strategies in men receiving radiotherapy and neo-adjuvant androgen deprivation for prostate cancer: a quantitative and qualitative study.

Aim: This paper reports a study on how men cope with the side-effects of radiotherapy and neo-adjuvant androgen deprivation for prostate cancer up to 1 year after treatment.

Background: With early detection and improved treatments, prostate cancer survivors are living longer with the disease and the side-effects of treatment. How they cope affects their long-term physical and mental health.

Design: A prospective, longitudinal, exploratory design using both qualitative and quantitative methods was used in this study.

Method: Between September 2006–September 2007 149 men who were about to undergo radical radiotherapy ± androgen deprivation for localized prostate cancer in Northern Ireland were recruited to the study. They completed the Brief Cope scale at four time-points.

Results: Acceptance, positive reframing, emotional support, planning and, just getting on with it, were the most common ways of coping. Fewer men used coping strategies less at 6 months and 1 year after radiotherapy in comparison to pre-treatment and 4–6 weeks after radiotherapy. Interviews with these men demonstrated that men adapted to a new norm, with the support of their wives/partners and did not readily seek professional help. A minority of men used alcohol, behavioural disengagement and self blame as ways of coping.

Conclusion: Men used a variety of ways of coping to help them deal with radiotherapy and neo-adjuvant androgen deprivation for up to 12 months after radiotherapy. Interventions need to be developed to take account of the specific needs of partners of men with prostate cancer and single men who have prostate cancer.

Low-dose aspirin and survival in men with prostate cancer: a study using the UK Clinical Practice Research Datalink

Purpose: Aspirin use is associated with reduced risk of, and death from, prostate cancer. Our aim was to determine whether low-dose aspirin use after a prostate cancer diagnosis was associated with reduced prostate cancer-specific mortality.

Methods: A cohort of newly diagnosed prostate cancer patients (1998–2006) was identified in the UK Clinical Practice Research Datalink (confirmed by cancer registry linkage). A nested case–control analysis was conducted using conditional logistic regression to compare aspirin usage in cases (prostate cancer deaths) with up to three controls (matched by age and year of diagnosis).

Results: Post-diagnostic low-dose aspirin use was identified in 52 % of 1,184 prostate cancer-specific deaths and 39 % of 3,531 matched controls (unadjusted OR 1.51, 95 % CI 1.19, 1.90; p < 0.001). After adjustment for confounders including treatment and comorbidities, this association was attenuated (adjusted OR 1.02 95 % CI 0.78, 1.34; p = 0.86). Adjustment for estrogen therapy accounted for the majority of this attenuation. There was also no evidence of dose–response association after adjustments. Compared with no use, patients with 1–11 prescriptions and 12 or more prescriptions had adjusted ORs of 1.07 (95 % CI 0.78, 1.47; p = 0.66) and 0.97 (95 % CI 0.69, 1.37; p = 0.88), respectively. There was no evidence of a protective association between low-dose aspirin use in the year prior to diagnosis and prostate cancer-specific mortality (adjusted OR 1.04 95 % CI 0.89, 1.22; p = 0.60).

Conclusion: We found no evidence of an association between low-dose aspirin use before or after diagnosis and risk of prostate cancer-specific mortality, after potential confounders were accounted for, in UK prostate cancer patients.

Nurses' experiences providing palliative care to individuals living in rural communities aspects of the physical residential setting

Introduction: Efforts are needed to improve palliative care in rural communities, given the unique characteristics and inherent challenges with respect to working within the physical aspects of residential settings. Nurses who work in rural communities play a key role in the delivery of palliative care services. Hence, the purpose of this study was to explore nurses’ experiences of providing palliative care in rural communities, with a particular focus on the impact of the physical residential setting.

Methods: This study was grounded in a qualitative approach utilizing an exploratory descriptive design. Individual telephone interviews were conducted with 21 community nurses. Data were analyzed by thematic content analysis.

Results: Nurses described the characteristics of working in a rural community and how it influences their perception of their role, highlighting the strong sense of community that exists but how system changes over the past decade have changed the way they provide care. They also described the key role that they play, which was often termed a ‘jack of all trades’, but focused on providing emotional, physical, and spiritual care while trying to manage many challenges related to transitioning and working with other healthcare providers. Finally, nurses described how the challenges of working within the physical constraints of a rural residential setting impeded their care provision to clients who are dying in the community, specifically related to the long distances that they travel while dealing with bad weather.

Human body shadowing in cellular device-to-device communications: channel modeling using the shadowed κ−μ fading model

Using device-to-device communications as an underlay for cellular communications will provide an exciting opportunity to increase network capacity as well as improving spectral efficiency. The unique geometry of device-to-device links, where user equipment is often held or carried at low elevation and in close proximity to the human body, will mean that they are particularly susceptible to shadowing events caused not only by the local environment but also by the user's body. In this paper, the shadowed κ - μ fading model is proposed, which is capable of characterizing shadowed fading in wireless communication channels. In this model, the statistics of the received signal are manifested by the clustering of multipath components. Within each of these clusters, a dominant signal component with arbitrary power may exist. The resultant dominant signal component, which is formed by the phasor addition of these leading contributions, is assumed to follow a Nakagami- m distribution. The probability density function, moments, and the moment-generating function are also derived. The new model is then applied to device-to-device links operating at 868 MHz in an outdoor urban environment. It was found that shadowing of the resultant dominant component can vary significantly depending upon the position of the user equipment relative to the body and the link geometry. Overall, the shadowed κ - μ fading model is shown to provide a good fit to the field data as well as providing a useful insight into the characteristics of the received signal.

Which biomarkers are predictive specifically for cardiovascular or for non-cardiovascular mortality in men? Evidence from the Caerphilly Prospective Study (CaPS)

OBJECTIVE: To examine a panel of 28 biomarkers for prediction of cardiovascular disease (CVD) and non-CVD mortality in a population-based cohort of men.

METHODS: Starting in 1979, middle-aged men in Caerphilly underwent detailed medical examination. Subsequently 2171 men were re-examined during 1989-1993, and fasting blood samples obtained from 1911 men (88%). Fibrinogen, viscosity and white cell count (WCC), routine biochemistry tests and lipids were analysed using fresh samples. Stored aliquots were later analysed for novel biomarkers. Statistical analysis of CVD and non-CVD mortality follow-up used competing risk Cox regression models with biomarkers in thirds tested at the 1% significance level after covariate adjustment.

RESULTS: During an average of 15.4years follow-up, troponin (subhazard ratio per third 1.71, 95% CI 1.46-1.99) and B-natriuretic peptide (BNP) (subhazard ratio per third 1.54, 95% CI 1.34-1.78) showed strong trends with CVD death but not with non-CVD death. WCC and fibrinogen showed similar weaker findings. Plasma viscosity, growth differentiation factor 15 (GDF-15) and interleukin-6 (IL-6) were associated positively with both CVD death and non-CVD death while total cholesterol was associated positively with CVD death but negatively with non-CVD death. C-reactive protein (C-RP), alkaline phosphatase, gamma-glutamyltransferase (GGT), retinol binding protein 4 (RBP-4) and vitamin B6 were significantly associated only with non-CVD death, the last two negatively. Troponin, BNP and IL-6 showed evidence of diminishing associations with CVD mortality through follow-up.

CONCLUSION: Biomarkers for cardiac necrosis were strong, specific predictors of CVD mortality while many inflammatory markers were equally predictive of non-CVD mortality.