28 research outputs found

    Depression in Adults with Congenital Heart Disease: Prevalence, Prognosis, and Intervention

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    Data on the prevalence of depression in adult congenital heart disease (ACHD) patients differ widely. We aim to summarize the best available information on the prevalence of depression, its prognostic impact, and psychiatric interventions for depressed ACHD patients. We reviewed references in relevant publications up to October 17, 2017. For homogeneity of data, studies in which depression was independently assessed in patients aged 18 years or older or with a mean/median age older than 18 years were included. Retrospective and postoperative evaluation studies were excluded. Twenty publications met these criteria. Study samples included ACHD patients followed up at ACHD-specialized hospitals in 13 countries. The prevalence of depression differed widely, ranging from 6 to 69%. Depression has been shown to be an independent predictor of adverse clinical outcomes. It is also frequently associated with other prognostic variables (i.e., poor functional class, unfavorable perceived health status, and low quality of life). Currently, no randomized clinical trials on psychiatric interventions in ACHD are available. In summary, depression is highly prevalent in ACHD patients, yet it is often unrecognized and untreated. The adverse prognostic impact of depression calls for specialized psychiatric interventions, for which more research is needed in the ACHD patient population

    Does advancing male age influence the expression levels and localisation patterns of phospholipase C zeta (PLCζ) in human sperm?

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    Socio-economic factors have led to an increasing trend for couples to delay parenthood. However, advancing age exerts detrimental effects upon gametes which can have serious consequences upon embryo viability. While such effects are well documented for the oocyte, relatively little is known with regard to the sperm. One fundamental role of sperm is to activate the oocyte at fertilisation, a process initiated by phospholipase C zeta (PLCζ), a sperm-specific protein. While PLCζ deficiency can lead to oocyte activation deficiency and infertility, it is currently unknown whether the expression or function of PLCζ is compromised by advancing male age. Here, we evaluate sperm motility and the proportion of sperm expressing PLCζ in 71 males (22–54 years; 44 fertile controls and 27 infertile patients), along with total levels and localisation patterns of PLCζ within the sperm head. Three different statistical approaches were deployed with male age considered both as a categorical and a continuous factor. While progressive motility was negatively correlated with male age, all three statistical models concurred that no PLCζ–related parameter was associated with male age, suggesting that advancing male age is unlikely to cause problems in terms of the sperm’s fundamental ability to activate an oocyt

    Depression in Adults with Congenital Heart Disease: Prevalence, Prognosis, and Intervention

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    Data on the prevalence of depression in adult congenital heart disease (ACHD) patients differ widely. We aim to summarize the best available information on the prevalence of depression, its prognostic impact, and psychiatric interventions for depressed ACHD patients. We reviewed references in relevant publications up to October 17, 2017. For homogeneity of data, studies in which depression was independently assessed in patients aged 18 years or older or with a mean/median age older than 18 years were included. Retrospective and postoperative evaluation studies were excluded. Twenty publications met these criteria. Study samples included ACHD patients followed up at ACHD-specialized hospitals in 13 countries. The prevalence of depression differed widely, ranging from 6 to 69%. Depression has been shown to be an independent predictor of adverse clinical outcomes. It is also frequently associated with other prognostic variables (i.e., poor functional class, unfavorable perceived health status, and low quality of life). Currently, no randomized clinical trials on psychiatric interventions in ACHD are available. In summary, depression is highly prevalent in ACHD patients, yet it is often unrecognized and untreated. The adverse prognostic impact of depression calls for specialized psychiatric interventions, for which more research is needed in the ACHD patient population

    Psychological stress and reproductive aging among pre-menopausal women

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    BackgroundLife history models suggest that biological preparation for current versus longer term reproduction is favored in environments of adversity. In this context, we present a model of reproductive aging in which environmental adversity is proposed to increase the number of growing follicles at the cost of hastening the depletion of the ovarian reserve over time. We evaluated this model by examining psychological stress in relation to reproductive aging indexed by antral follicle count (AFC), a marker of total ovarian reserve. We hypothesized that stress would be related to (i) higher AFC in younger women, reflecting greater reproductive readiness as well as (ii) greater AFC loss across women, reflecting more accelerated reproductive aging.MethodsIn a multi-ethnic, community sample of 979 participants [ages 25-45 (mean (standard deviation) = 35.2 (5.5)); 27.5% Caucasian] in the Ovarian Aging study, an investigation of the correlates of reproductive aging, the interaction of age-x-stress was assessed in relation to AFC to determine whether AFC and AFC loss varied across women experiencing differing levels of stress. Stress was assessed by the perceived stress scale and AFC was assessed by summing the total number of antral follicles visible by transvaginal ultrasound.ResultsIn linear regression examining AFC as the dependent variable, covariates (race/ethnicity, socio-economic status, menarcheal age, hormone-containing medication for birth control, parity, cigarette smoking, bodymass index, waist-to-hip ratio) and age were entered on step 1, stress on step 2 and the interaction term (age-x-stress) on step 3. On step 3, significant main effects showed that older age was related to lower AFC (b = -0.882, P = 0.000) and greater stress was related to higher AFC (b = 0.545, P = 0.005). Follow-up analyses showed that the main effect of stress on AFC was present in the younger women only. A significant interaction term (b = -0.036, P = 0.031) showed the relationship between age and AFC varied as function of stress. When the sample was divided into tertiles of stress, the average follicle loss was -0.781, -0.842 and -0.994 follicles/year in the low-, mid- and high-stress groups, respectively.ConclusionsPsychological stress was related to higher AFC among younger women and greater AFC decline across women, suggesting that greater stress may enhance reproductive readiness in the short term at the cost of accelerating reproductive aging in the long term. Findings are preliminary, however, due to the cross-sectional nature of the current study

    The effect of shared intentionality on technology dynamics.

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    <p>Blue-colored vertices represent individuals playing ‘new’, white vertices represent individuals playing ‘old’. Individuals not shown are assumed to be playing ‘old’. <b>a:</b> In the absence of SI, the only better response for any individual is to retain his current strategy. <b>b:</b> For low <i>α</i>, coalitions of SI type individuals can coordinate payoff improving switches back to ‘old’. <b>c:</b> For high <i>α</i>, coalitions of SI type individuals can coordinate payoff improving switches to ‘new’ [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004587#pcbi.1004587.ref014" target="_blank">14</a>]. Note that threshold values of <i>α</i> depend on graph structure and that different interaction structures can yield different thresholds [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004587#pcbi.1004587.ref014" target="_blank">14</a>, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004587#pcbi.1004587.ref046" target="_blank">46</a>]. For an example with explicitly calculated thresholds, see Section S2.2.</p

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