scholarly journals The Impact of Target Frequency on Intra-Individual Variability in Euthymic Bipolar Disorder: A Comparison of Two Sustained Attention Tasks

2016 ◽  
Vol 7 ◽  
Author(s):  
Rachel Ann Moss ◽  
Andreas Finkelmeyer ◽  
Lucy J. Robinson ◽  
Jill M. Thompson ◽  
Stuart Watson ◽  
...  
2019 ◽  
Vol 25 (5) ◽  
pp. 483-495 ◽  
Author(s):  
André Dallmann ◽  
Paola Mian ◽  
Johannes Van den Anker ◽  
Karel Allegaert

Background: In clinical pharmacokinetic (PK) studies, pregnant women are significantly underrepresented because of ethical and legal reasons which lead to a paucity of information on potential PK changes in this population. As a consequence, pharmacometric tools became instrumental to explore and quantify the impact of PK changes during pregnancy. Methods: We explore and discuss the typical characteristics of population PK and physiologically based pharmacokinetic (PBPK) models with a specific focus on pregnancy and postpartum. Results: Population PK models enable the analysis of dense, sparse or unbalanced data to explore covariates in order to (partly) explain inter-individual variability (including pregnancy) and to individualize dosing. For population PK models, we subsequently used an illustrative approach with ketorolac data to highlight the relevance of enantiomer specific modeling for racemic drugs during pregnancy, while data on antibiotic prophylaxis (cefazolin) during surgery illustrate the specific characteristics of the fetal compartments in the presence of timeconcentration profiles. For PBPK models, an overview on the current status of reports and papers during pregnancy is followed by a PBPK cefuroxime model to illustrate the added benefit of PBPK in evaluating dosing regimens in pregnant women. Conclusions: Pharmacometric tools became very instrumental to improve perinatal pharmacology. However, to reach their full potential, multidisciplinary collaboration and structured efforts are needed to generate more information from already available datasets, to share data and models, and to stimulate cross talk between clinicians and pharmacometricians to generate specific observations (pathophysiology during pregnancy, breastfeeding) needed to further develop the field.


2019 ◽  
Vol 29 ◽  
pp. S1173-S1174
Author(s):  
James Crowley ◽  
Ashley Nordsletten ◽  
Gustaf Brander ◽  
Patrick Sullivan ◽  
Naomi Wray ◽  
...  

2020 ◽  
Vol 34 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Susan C. South ◽  
Michael J. Boudreaux ◽  
Thomas F. Oltmanns

Personality disorders (PDs) are significantly, negatively related to marital satisfaction. We examine how maladaptive personality is related to change in marital satisfaction over time utilizing data from the St. Louis Personality and Aging Network (SPAN), a longitudinal, community-based study of personality and health in older adults. Participants were assessed at baseline for PD (self-report, informant-report, and structured interview); self- and spouse-reported relationship satisfaction assessed at baseline and five follow-ups was analyzed with latent growth curve modeling. Higher levels of PD at baseline were associated with lower self and spouse relationship satisfaction at baseline. On average, satisfaction did not change significantly over the study period, but there was significant individual variability. Higher levels of schizoid PD were protective of declines in partner's perception of satisfaction. Findings suggest that partners in long-term married unions may have adapted to the presence of their own or their spouse's level of personality pathology.


2021 ◽  
pp. 000486742199879
Author(s):  
Pavitra Aran ◽  
Andrew J Lewis ◽  
Stuart J Watson ◽  
Thinh Nguyen ◽  
Megan Galbally

Objective: Poorer mother–infant interaction quality has been identified among women with major depression; however, there is a dearth of research examining the impact of bipolar disorder. This study sought to compare mother–infant emotional availability at 6 months postpartum among women with perinatal major depressive disorder, bipolar disorder and no disorder (control). Methods: Data were obtained for 127 mother–infant dyads from an Australian pregnancy cohort. The Structured Clinical Interview for the DSM-5 was used to diagnose major depressive disorder ( n = 60) and bipolar disorder ( n = 12) in early pregnancy (less than 20 weeks) and review diagnosis at 6 months postpartum. Prenatal and postnatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale, along with self-report psychotropic medication use. Mother and infant’s interaction quality was measured using the Emotional Availability Scales when infants reached 6 months of age. Multivariate analyses of covariance examining the effects of major depressive disorder and bipolar disorder on maternal emotional availability (sensitivity, structuring, non-intrusiveness, non-hostility) and child emotional availability (responsiveness, involvement) were conducted. Results: After controlling for maternal age and postpartum depressive symptoms, perinatal disorder (major depressive disorder, bipolar disorder) accounted for 17% of the variance in maternal and child emotional availability combined. Compared to women with major depressive disorder and their infants, women with bipolar disorder and their infants displayed lower ratings across all maternal and child emotional availability qualities, with the greatest mean difference seen in non-intrusiveness scores. Conclusions: Findings suggest that perinatal bipolar disorder may be associated with additional risk, beyond major depressive disorder alone, to a mother and her offspring’s emotional availability at 6 months postpartum, particularly in maternal intrusiveness.


2016 ◽  
Vol 105 (4) ◽  
pp. e181-e188 ◽  
Author(s):  
Andrew N. Wilson ◽  
Timothy Olds ◽  
Kurt Lushington ◽  
John Petkov ◽  
James Dollman

2021 ◽  
Author(s):  
Katerina Machacova ◽  
Hannes Warlo ◽  
Kateřina Svobodová ◽  
Thomas Agyei ◽  
Tereza Uchytilová ◽  
...  

<p>Trees are known to be sources of methane (CH<sub>4</sub>), an important greenhouse gas, into the atmosphere. However, still little is known about the seasonality of the tree stem CH<sub>4</sub> fluxes, particularly for the dormant season, and about the impact of environmental parameters on this gas exchange. This makes the estimation of net annual ecosystem CH<sub>4</sub> fluxes difficult.</p><p>We determined seasonal dynamics of CH<sub>4</sub> exchange of mature European beech stems (<em>Fagus sylvatica</em>) and of adjacent forest floor in a temperate montane forest of White Carpathians, Czech Republic, from November 2017 to December 2018. We used static chamber methods and gas chromatographic analyses. We aimed to understand the unknown role in seasonal changes of CH<sub>4</sub> fluxes of these forests, and the spatiotemporal variability of the tree fluxes.</p><p>The beech stems were net annual sources for atmospheric CH<sub>4</sub>, whereas the forest floor was a predominant sink for CH<sub>4</sub>. The stem CH<sub>4</sub> emissions showed high inter-individual variability and clear seasonality following the stem CO<sub>2</sub> efflux. The fluxes of CH<sub>4</sub> peaked during the vegetation season, and remained low but significant to the annual totals during winter dormancy. By contrast, the forest floor CH<sub>4</sub> uptake followed an opposite flux trend with low CH<sub>4</sub> uptake detected in the winter dormant season and elevated CH<sub>4</sub> uptake during the vegetation season. Based on our preliminary analyses, the detected high spatial variability in stem CH<sub>4</sub> emissions can be explained neither by the CH<sub>4</sub> exchange at the forest floor level, nor by soil CH<sub>4</sub> concentrations, soil water content and soil temperature, all measured in vertical soil profiles close to the studied trees.</p><p>European beech trees, native and widely spread species of Central Europe, seem to markedly contribute to the seasonal dynamics of the ecosystem CH<sub>4</sub> exchange, and their CH<sub>4</sub> fluxes should be included into forest greenhouse gas emission inventories.</p><p> </p><p><em>Acknowledgement</em></p><p><em>This research was supported by the Czech Science Foundation (17-18112Y), National Programme for Sustainability I (LO1415), CzeCOS (LM2015061), and SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797). We thank Libor Borák and Leszek Dariusz Laptaszyński for their technical and field support.</em></p><p> </p>


2018 ◽  
Vol 79 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Eva Z. Reininghaus ◽  
Lisa-Christin Wetzlmair ◽  
Frederike T. Fellendorf ◽  
Martina Platzer ◽  
Robert Queissner ◽  
...  

2004 ◽  
Vol 38 (suppl) ◽  
pp. 86-91 ◽  
Author(s):  
Giovanni Costa

The impact of shift and night work on health shows a high inter- and intra-individual variability, both in terms of kind of troubles and temporal occurrence, related to various intervening factors dealing with individual characteristics, lifestyles, work demands, company organisation, family relations and social conditions. The way we define "health" and "well-being" can significantly influence appraisals, outcomes and interventions. As the goal is the optimisation of shiftworkers' health, it is necessary to go beyond the health protection and to act for health promotion. In this perspective, not only people related to medical sciences, but many other actors (ergonomists, psychologists, sociologists, educators, legislators), as well as shiftworkers themselves. Many models have been proposed aimed at describing the intervening variables mediating and/or moderating the effects; they try to define the interactions and the pathways connecting risk factors and outcomes through several human dimensions, which refer to physiology, psychology, pathology, sociology, ergonomics, economics, politics, and ethics. So, different criteria can be used to evaluate shiftworkers' health and well-being, starting from biological rhythms and ending in severe health disorders, passing through psychological strain, job dissatisfaction, family perturbation and social dis-adaptation, both in the short- and long-term. Consequently, it appears rather arbitrary to focus the problem of shiftworkers' health and tolerance only on specific aspects (e.g. individual characteristics), but a systemic approach appears more appropriate, able to match as many variables as possible, and aimed at defining which factors are the most relevant for those specific work and social conditions. This can support a more effective and profitable (for individuals, companies, and society) adoption of preventive and compensative measures, that must refer more to "countervalues" rather than to "counterweights".


2018 ◽  
Vol 9 ◽  
Author(s):  
Henry W. Chase ◽  
Jay C. Fournier ◽  
Haris Aslam ◽  
Richelle Stiffler ◽  
Jorge R. Almeida ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1259
Author(s):  
Gerard Anmella ◽  
Silvia Vilches ◽  
Jordi Espadaler ◽  
Andrea Murru ◽  
Isabella Pacchiarotti ◽  
...  

Several pharmacogenetic-based decision support tools for psychoactive medication selection are available. However, the scientific evidence of the gene-drug pairs analyzed is mainly based on pharmacogenetic studies in patients with major depression or schizophrenia, and their clinical utility is mostly assessed in major depression. This study aimed at evaluating the impact of individual genes, with pharmacogenetic relevance in other psychiatric conditions, in the response to treatment in bipolar depression. Seventy-six patients diagnosed with bipolar disorder and an index major depressive episode were included in an observational retrospective study. Sociodemographic and clinical data were collected, and all patients were genotyped using a commercial multigene pharmacogenomic-based tool (Neuropharmagen®, AB-Biotics S.A., Barcelona, Spain). Multiple linear regression was used to identify pharmacogenetic and clinical predictors of efficacy and tolerability of medications. The pharmacogenetic variables response to serotonin-norepinephrine reuptake inhibitors (SNRIs) (ABCB1) and reduced metabolism of quetiapine (CYP3A4) predicted patient response to these medications, respectively. ABCB1 was also linked to the tolerability of SNRIs. An mTOR-related multigenic predictor was also associated with a lower number of adverse effects when including switch and autolytical ideation. Our results suggest that the predictors identified could be useful to guide the pharmacological treatment in bipolar disorder. Additional clinical studies are necessary to confirm these findings.


Sign in / Sign up

Export Citation Format

Share Document