Safety and tolerability of slow-release oral morphine versus methadone in the treatment of opioid dependence

Opioid substitution treatment (OST) for opioid dependence may be limited by adverse events (AEs). Increasing the range of therapeutic options optimizes outcomes and facilitates patient management. An international, multi-center, two-phase study investigated the efficacy and safety of slow-release oral morphine (SROM) versus methadone in patients receiving methadone therapy for opioid dependence. In phase 1 (two way cross-over, 11 weeks each period) patients were randomized to SROM or methadone oral solution. In phase 2 (25 weeks), patients continued treatment with SROM (group A) or switched from methadone to SROM (group B). In total, 211 out of 276 completed phase 1 and 198 entered phase 2 (n = 95 group A, n = 103 group B). Treatment with both SROM and methadone was well tolerated. However, the mean QTc-interval associated with methadone was significantly longer than that under SROM. Higher treatment satisfaction, fewer cravings for heroin, and lower mental stress were reported with SROM. This study adds a significant further weight of evidence that SROM is an effective and well tolerated long-term maintenance treatment for opioid dependence with a beneficial risk profile compared to methadone regarding cardiac effects and supports its clinical utility.

Tabulation of multiple responses

Although multiple-response questions are quite common in survey research, Stata’s official release does not provide much capability for an effective analysis of multiple-response variables. For example, in a study on drug addiction an interview question might be, “Which substances did you consume during the last four weeks?” The respondents just list all the drugs they took, if any; e.g., an answer could be “cannabis, cocaine, heroin” or “ecstasy, cannabis” or “none”, etc. Usually, the responses to such questions are stored as a set of variables and, therefore, cannot be easily tabulated. I will address this issue here and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure, provides significance tests, and offers various options to control the computation and display of the results. In addition, tools to create graphs of multiple-response distributions are presented.

Doppler Orbit Determination of Deep Space Probes by the Bernese GNSS Software: First Results of the Combined Orbit Determination from DSN and Inter-Satellite Ka-Band Data from the Grail Mission

Navigation of deep space probes is most commonly operated using the spacecraft Doppler tracking technique. Orbital parameters are determined from a series of repeated measurements of the frequency shift of a microwave carrier over a given integration time. Currently, both ESA and NASA operate antennas at several sites around the world to ensure the tracking of deep space probes. Just a small number of software packages are nowadays used to process Doppler observations. The Astronomical Institute of the University of Bern (AIUB) has recently started the development of Doppler data processing capabilities within the Bernese GNSS Software. This software has been extensively used for Precise Orbit Determination of Earth orbiting satellites using GPS data collected by on-board receivers and for subsequent determination of the Earth gravity field. In this paper, we present the currently achieved status of the Doppler data modeling and orbit determination capabilities in the Bernese GNSS Software using GRAIL data. In particular we will focus on the implemented orbit determination procedure used for the combined analysis of Doppler and intersatellite Ka-band data. We show that even at this earlier stage of the development we can achieve an accuracy of few mHz on two-way S-band Doppler observation and of 2 µm/s on KBRR data from the GRAIL primary mission phase.

BPA qualtitative and quantitative assessment associated with orthodontic bonding in vivo

OBJECTIVE To assess the in vivo amount of BPA released from a visible light-cured orthodontic adhesive, immediately after bracket bonding. METHODS 20 orthodontic patients were recruited after obtaining informed consent. All patients received 24 orthodontic brackets in both dental arches. In Group A (11 patients), 25 ml of tap water were used for mouth rinsing, whereas in Group B (9 patients) a simulated mouth rinse formulation was used: a mixture of 20 ml de-ionized water plus 5 ml absolute ethanol. Rinsing solutions were collected before, immediately after placing the orthodontic appliances and after washing out the oral cavity and were then stored in glass tubes. Rinsing was performed in a single phase for 60s with the entire volume of each liquid. The BPA analysis was performed by gas chromatography-mass spectrometry. RESULTS An increase in BPA concentration immediately after the 1st post-bonding rinse was observed, for both rinsing media, which was reduced after the 2nd post-bonding rinse. Water exhibited higher levels of BPA concentration than water/ethanol after 1st and 2nd post-bonding rinses. Two-way mixed Repeated Measures ANOVA showed that the primary null hypothesis declaring mean BPA concentration to be equal across rinsing medium and rinsing status was rejected (p-value <0.001). The main effects of the rinsing medium and status, as well as their interaction were found to be statistically significant (p-values 0.048, <0.001 and 0.011 respectively). SIGNIFICANCE A significant pattern of increase of BPA concentration, followed by a decrease that reached the initial values was observed. The amount of BPA was relatively low and far below the reference limits of tolerable daily intake.

Differential effects of biological sex and relationship status on aspects of sociosexuality

Individuals differ in their orientation toward uncommitted sexual encounters. While previous research has given much emphasis on biological sex as important factor of influence, social determinants, such as relationship status, have been rather ignored. In the present study, the effects of biological sex and relationship status were investigated in a sample of 501 heterosexual adults (mean age: 28.1 years; 71.7 % female). Two-way analyses of variance yielded main effects of biological sex on Sociosexual Attitude and Desire implying men to be more permissive than women with regard to both facets. Relationship status had a main effect on Sociosexual Desire with singles having more permissive motivations than partnered individuals. Concerning Sociosexual Behavior, an interaction between biological sex and relationship status emerged indicating men to be more permissive than women among partnered individuals, but not among singles. Our results complement earlier research by highlighting the differential influence of biological sex and relationship status on aspects of sociosexuality.

Tabulation of multiple responses

Although multiple response questions are quite common in survey research, Stata's official release does not provide much possibility for an effective analysis of multiple response variables. For example, in a study on drug addiction an interview question might be, "Which substances did you consume during the last four weeks?" The respondents just list all the drugs they took if any, e.g., an answer could be "cannabis, cocaine, heroin" or "ecstasy, cannabis" or "none", etc. Usually, the responses to such questions are held as a set of variables and, therefore, cannot be easily tabulated. I will address this issue and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure, provides significance tests, and offers various options to control the computation and display of the results.