What has ageing to do with periodontal health and disease?

Periodontitis is a multi-factorial disease and in most cases also a disease with a chronic progression. Exposure to factors which contribute to periodontitis occurs over a long period, so that at the time of diagnosis it may be difficult to identify and evaluate what co-factors have contributed to its development. These include exposure to bacteria and viruses, inflammation, genetic factors, health behaviours and a variety of social factors, socio-economic status, behavioural and nutritional habits, the ability to cope with stress and the ability of the immune system to fight infections. Many patients in their 50s also experience other conditions such as heart disease, diabetes mellitus, or rheumatoid arthritis and recent reports on the associations and potential biological mechanisms by which periodontitis can be linked to other systemic diseases suggest that the patient with periodontitis is a challenged individual. Neither individuals nor their oral health care providers are currently prepared for the challenges in oral health care as the expectation of successful ageing with remaining and aesthetically functional teeth is increasing. The scientific evidence is, however, growing, and while the opportunities to prepare for successful ageing exist they must be included in the educational process of both current and future oral health care providers and their patients.

Maternal modulation of natal dispersal in a passerine bird: An adaptive strategy to cope with parasitism?

The decision of how far to disperse from the natal territory has profound and long-lasting consequences for young animals, yet the optimal dispersal behavior often depends on environmental factors that are difficult or impossible to assess by inexperienced juveniles. Natural selection thus favors mechanisms that allow the adaptive and flexible adjustment of the offspring's dispersal behavior by their parents via either paternal or maternal effects. Here we show that different dispersal strategies maximize the reproductive success of young great tits (Parus major) originating from a parasite-infested or a parasite-free nest and demonstrate that differential transfer of maternal yolk androgens in response to parasitism can result in a modification of the offspring's dispersal behavior that appears adaptive. It demonstrates that prenatal maternal effects are an important yet so far neglected determinant of natal dispersal and highlights the potential importance of maternal effects in mediating coevolutionary processes in host-parasite systems.

Clinical outcome of patients with stable ischaemic heart disease as compared to those with acute coronary syndromes after percutaneous coronary intervention

Aims: To compare clinical outcomes after percutaneous coronary intervention (PCI) between patients with acute coronary syndromes (ACS) and those with stable ischaemic heart disease (SIHD) stratified by anatomic disease complexity (SYNTAX score). Methods and results: Patient-level data from three all-comers PCI trials were pooled. Patients (n=4,204) were stratified by clinical presentation (i.e., ACS or SIHD) and by SYNTAX score (i.e., lowest vs. two highest tertiles). The major adverse cardiac event (MACE) rates of patients with low-risk SIHD (n=531) and high-risk SIHD (n=1,066) were compared with ACS patients (n=2,607), respectively. At two years, the risk of MACE was higher for high-risk SIHD patients (OR 1.34, 95% CI: 1.08-1.66) and lower for low-risk SIHD patients (OR 0.61, 95% CI: 0.43-0.87) compared with ACS patients, respectively. This difference between high-risk SIHD patients and ACS patients was primarily driven by a higher risk of myocardial infarction (OR 1.64, 95% CI: 1.21-2.21), while there was no difference for cardiac death (OR 0.77, 95% CI: 0.49-1.21) or target lesion revascularisation (OR 1.21, 95% CI: 0.91-1.62). Conclusions: In this pooled analysis, the majority of patients undergoing PCI for SIHD (i.e., with SYNTAX score >8) had a higher risk of MACE than patients with ACS. Trial registration: URL: http://www.ClinicalTrials.gov; unique identifier: NCT00297661 (Sirtax), NCT00389220 (Leaders), NCT00114972 (Resolute-AC).

Elderly age is not a negative predictive factor for virological response to therapy with pegylated interferon-α and ribavirin in chronic hepatitis C virus patients

BACKGROUND & AIMS: Age is frequently discussed as negative host factor to achieve a sustained virological response (SVR) to antiviral therapy of chronic hepatitis C. However, elderly patients often show advanced fibrosis/cirrhosis as known negative predictive factor. The aim of this study was to assess age as an independent predictive factor during antiviral therapy. METHODS: Overall, 516 hepatitis C patients were treated with pegylated interferon-α and ribavirin, thereof 66 patients ≥60 years. We analysed the impact of host factors (age, gender, fibrosis, haemoglobin, previous hepatitis C treatment) and viral factors (genotype, viral load) on SVR per therapy course by performing a generalized estimating equations (GEE) regression modelling, a matched pair analysis and a classification tree analysis. RESULTS: Overall, SVR per therapy course was 42.9 and 26.1%, respectively, in young and elderly patients with hepatitis C virus (HCV) genotypes 1/4/6. The corresponding figures for HCV genotypes 2/3 were 74.4 and 84%. In the GEE model, age had no significant influence on achieving SVR. In matched pair analysis, SVR was not different in young and elderly patients (54.2 and 55.9% respectively; P = 0.795 in binominal test). In classification tree analysis, age was not a relevant splitting variable. CONCLUSIONS: Age is not a significant predictive factor for achieving SVR, when relevant confounders are taken into account. As life expectancy in Western Europe at age 60 is more than 20 years, it is reasonable to treat chronic hepatitis C in selected elderly patients with relevant fibrosis or cirrhosis but without major concomitant diseases, as SVR improves survival and reduces carcinogenesis.

Shaping the values of the next generation: Value transmission processes within the family

Abstract: Research on human values within the family focuses on value congruence between the family members (Knafo & Schwartz, 2004), based on the assumption that transmission of values is part of a child’s socialization process. Within the family, values are not only implicitly transmitted through this process but also explicitly conveyed through the educational goals of parents (Grusec et al., 2000; Knafo & Schwartz, 2003; 2004, 2009). However, there is a lack of empirical evidence on the role of family characteristics in the value transmission process, especially for families with young children. Thus, the study presented had multiple aims: Firstly, it analyzed the congruency between mothers’ and fathers’ values and their value-based educational goals. Secondly, it examined the influence of mothers’ and fathers’ socio-demographic characteristics on their educational goals. Thirdly, it analyzed the differences in parental educational goals in families with daughters and families with sons. Finally, it examined the congruency between children’s values and the value-based educational goals of their parents. The value transmission process within families with young children was analyzed using data from complete families (child, mother and father) in Switzerland (N = 265). The survey of children consisted of 139 boys and 126 girls aged between 7 and 9 years. Parents’ values and parental educational goals were assessed using the Portrait Value Questionnaire (PVQ-21) (Schwartz, 2005). Children’s’ values were assessed using the Picture-Based Value Survey for Children (PBVS-C) (Döring et al., 2010). Regarding the role of the family context in the process of shaping children’s values, the results of the study show that, on average, parents are similar not only with respect to their value profiles but also with regard to their notion as to which values they would like to transmit to their children. Our findings also suggest that children’s values at an early age are shaped more strongly by mothers’ values than by fathers’ values. Moreover, our results show differences in value transmission with respect to the child’s gender. In particular, they suggest that value transmission within the family has a greater influence on female than on male offspring.

Sleepiness and performance is disproportionate in patients with non-organic hypersomnia in comparison to patients with narcolepsy and mild to moderate obstructive sleep apnoea.

BACKGROUND/AIMS Clinical differentiation between organic hypersomnia and non-organic hypersomnia (NOH) is challenging. We aimed to determine the diagnostic value of sleepiness and performance tests in patients with excessive daytime sleepiness (EDS) of organic and non-organic origin. METHODS We conducted a retrospective comparison of the multiple sleep latency test (MSLT), pupillography, and the Steer Clear performance test in three patient groups complaining of EDS: 19 patients with NOH, 23 patients with narcolepsy (NAR), and 46 patients with mild to moderate obstructive sleep apnoea syndrome (OSAS). RESULTS As required by the inclusion criteria, all patients had Epworth Sleepiness Scale (ESS) scores >10. The mean sleep latency in the MSLT indicated mild objective sleepiness in NOH (8.1 ± 4.0 min) and OSAS (7.2 ± 4.1 min), but more severe sleepiness in NAR (2.5 ± 2.0 min). The difference between NAR and the other two groups was significant; the difference between NOH and OSAS was not. In the Steer Clear performance test, NOH patients performed worst (error rate = 10.4%) followed by NAR (8.0%) and OSAS patients (5.9%; p = 0.008). The difference between OSAS and the other two groups was significant, but not between NOH and NAR. The pupillary unrest index was found to be highest in NAR (11.5) followed by NOH (9.2) and OSAS (7.4; n.s.). CONCLUSION A high error rate in the Steer Clear performance test along with mild sleepiness in an objective sleepiness test (MSLT) in a patient with subjective sleepiness (ESS) is suggestive of NOH. This disproportionately high error rate in NOH may be caused by factors unrelated to sleep pressure, such as anergia, reduced attention and motivation affecting performance, but not conventional sleepiness measurements.