Open issues in transcatheter aortic valve implantation. Part 2: procedural issues and outcomes after transcatheter aortic valve implantation.

This article provides an overview on procedure-related issues and uncertainties in outcomes after transcatheter aortic valve implantation (TAVI). The different access sites and how to select them in an individual patient are discussed. Also, the occurrence and potential predictors of aortic regurgitation (AR) after TAVI are addressed. The different methods to quantify AR are reviewed, and it appears that accurate and reproducible quantification is suboptimal. Complications such as prosthesis-patient mismatch and conduction abnormalities (and need for permanent pacemaker) are discussed, as well as cerebrovascular events, which emphasize the development of optimal anti-coagulative strategies. Finally, recent registries have shown the adoption of TAVI in the real world, but longer follow-up studies are needed to evaluate the outcome (but also prosthesis durability). Additionally, future studies are briefly discussed, which will address the use of TAVI in pure AR and lower-risk patients.

Hormonal Contraception and the Risk of HIV Acquisition: An Individual Participant Data Meta-analysis.

BACKGROUND Observational studies of a putative association between hormonal contraception (HC) and HIV acquisition have produced conflicting results. We conducted an individual participant data (IPD) meta-analysis of studies from sub-Saharan Africa to compare the incidence of HIV infection in women using combined oral contraceptives (COCs) or the injectable progestins depot-medroxyprogesterone acetate (DMPA) or norethisterone enanthate (NET-EN) with women not using HC. METHODS AND FINDINGS Eligible studies measured HC exposure and incident HIV infection prospectively using standardized measures, enrolled women aged 15-49 y, recorded ≥15 incident HIV infections, and measured prespecified covariates. Our primary analysis estimated the adjusted hazard ratio (aHR) using two-stage random effects meta-analysis, controlling for region, marital status, age, number of sex partners, and condom use. We included 18 studies, including 37,124 women (43,613 woman-years) and 1,830 incident HIV infections. Relative to no HC use, the aHR for HIV acquisition was 1.50 (95% CI 1.24-1.83) for DMPA use, 1.24 (95% CI 0.84-1.82) for NET-EN use, and 1.03 (95% CI 0.88-1.20) for COC use. Between-study heterogeneity was mild (I2 < 50%). DMPA use was associated with increased HIV acquisition compared with COC use (aHR 1.43, 95% CI 1.23-1.67) and NET-EN use (aHR 1.32, 95% CI 1.08-1.61). Effect estimates were attenuated for studies at lower risk of methodological bias (compared with no HC use, aHR for DMPA use 1.22, 95% CI 0.99-1.50; for NET-EN use 0.67, 95% CI 0.47-0.96; and for COC use 0.91, 95% CI 0.73-1.41) compared to those at higher risk of bias (pinteraction = 0.003). Neither age nor herpes simplex virus type 2 infection status modified the HC-HIV relationship. CONCLUSIONS This IPD meta-analysis found no evidence that COC or NET-EN use increases women's risk of HIV but adds to the evidence that DMPA may increase HIV risk, underscoring the need for additional safe and effective contraceptive options for women at high HIV risk. A randomized controlled trial would provide more definitive evidence about the effects of hormonal contraception, particularly DMPA, on HIV risk.

Do individual directors matter?

Paper 1: Pilot study of Swiss firms Abstract Using a fixed effects approach, we investigate whether the presence of specific individuals on Swiss firms’ boards affects firm performance and the policy choices they make. We find evidence for a substantial impact of these directors’ presence on their firms. Moreover, the director effects are correlated across policies and performance measures but uncorrelated to the directors’ background. We find these results interesting but conclude that they should to be substantiated on a dataset that is larger and better understood by researchers. Also, further tests are required to rule out methodological concerns. Paper 2: Evidence from the S&P 1,500 Abstract We ask whether directors on corporate boards contribute to firm performance as individuals. From the universe of the S&P 1,500 firms since 1996 we track 2,062 directors who serve on multiple boards over extended periods of time. Our initial findings suggest that the presence of these directors is associated with substantial performance shifts (director fixed effects). Closer examination shows that these effects are statistical artifacts and we conclude that directors are largely fungible. Moreover, we contribute to the discussion of the fixed effects method. In particular, we highlight that the selection of the randomization method is pivotal when generating placebo benchmarks. Paper 3: Robustness, statistical power, and important directors Abstract This article provides a better understanding of Senn’s (2014) findings: The outcome that individual directors are unrelated to firm performance proves robust against different estimation models and testing strategies. By looking at CEOs, the statistical power of the placebo benchmarking test is evaluated. We find that only the stronger tests are able to detect CEO fixed effects. However, these tests are not suitable to analyze directors. The suitable tests would detect director effects if the inter quartile range of the true effects amounted to 3 percentage points ROA. As Senn (2014) finds no such effects for outside directors in general, we focus on groups of particularly important directors (e.g., COBs, non-busy directors, successful directors). Overall, our evidence suggests that the members of these groups are not individually associated with firm performance either. Thus, we confirm that individual directors are largely fungible. If the individual has an effect on performance, it is of small magnitude.

Career-choice readiness in adolescence: Developmental trajectories and individual differences

Developing career-choice readiness is an important task in adolescence, but current theory and research has provided a rather static view of the phenomenon. The present study investigated the development of career-choice readiness among a group of 325 Swiss students assessed four times every 5 months from seventh through eighth grade. A variable-centered approach applying latent curve modeling showed not only a linear increase of readiness over time but also significant inter-individual differences in the level and development of readiness. Higher levels were predicted by more self-esteem and generalized self-efficacy and fewer perceived barriers while increase in readiness was predicted by increase in occupational information. A person-centered approach applying latent class-growth analysis identified four distinct developmental trajectories: high-increasing (42%), high-decreasing (5%), moderate-increasing (42%), and constantly low (11%). Students with different trajectories showed significant differences in core self-evaluations, occupational knowledge, and barriers. The results suggest that environmental demands promote a developmental trend in readiness development that overrules individual differences for the majority of students. Individual differences affect the level of readiness to a greater extent than the process of its development. Career information seems pivotal for readiness increase.

Individual predictors of adolescents' vocational interest stabilities

The study investigated the predictive utility of interest profile differentiation, coherence, elevation, congruence, and vocational identity commitment and career maturity (career planning and exploration) on the 10-month interest stability of 292 Swiss eighth-grade students: profile, rank, and level stabilities were assessed. Controlling for socio-demographic and vocational interest type variables, measures of differentiated and coherent vocational interests were significant predictors of profile stability. Interest elevation predicted more rank and level stability. The career development variables explained only a non-significant additional amount of variance in the different stability measures.