Impact of Weight-Band Dosing of Tinzaparin for Venous Thromboembolism Prophylaxis on Persistent Wound Drainage in Adult Patients Undergoing Hip and Knee Arthroplasty.

BACKGROUND: Persistent wound drainage and venous thromboembolism (VTE) are potential complications of total joint arthroplasty, and these risks can be challenging to balance in clinical practice. Anecdotal observation has suggested that following joint arthroplasty, persistent wound drainage occurs more frequently with higher body weight and higher doses of tinzaparin when compared with lower body weight and lower doses of tinzaparin. OBJECTIVE: The overall purpose of this study was to describe the impact of a tinzaparin weight-band dosing table for VTE prophylaxis on wound healing, thrombosis, and bleeding outcomes in patients undergoing total joint arthroplasty. METHODS: This retrospective chart review included patients who underwent total hip or knee arthroplasty and received tinzaparin for thromboprophylaxis per their weight-banding category. The primary outcome was the incidence of persistent wound drainage. Secondary outcomes include the occurrence of VTE and clinically important bleeding during hospital admission. RESULTS: A total of 231 patients were included in the analysis. There was no significant difference in persistent wound drainage between the 3 weight categories, and there were no differences in rates of VTE or clinically important bleeding. Concurrent use of low-dose acetylsalicylic acid was associated with a 3-fold increased risk of persistent wound drainage (risk ratio = 3.35; 95% CI = 2.14-5.24; P = 0.00003). CONCLUSION AND RELEVANCE: In joint arthroplasty patients, we observed no significant difference in rates of persistent wound drainage between various weight categories receiving different weight-banded doses of tinzaparin. Our results do not suggest that the current weight-band dosing table for tinzaparin needs to be adjusted to optimize patient outcomes.

Evaluation of mobile phone applications to support medication adherence and symptom management in oncology patients.

Mobile phone applications (apps), may support pediatric oncology patients with medication and disease management. A scoping review of the literature, a search of the iTunes App and Google Play Stores, was conducted to identify medication and symptom management apps for adult and pediatric oncology patients. Pooled results yielded 28 apps which were assessed for quality using the Mobile Application Rating Scale, with mean overall scores ranging from 2.8 to 4.3. Most apps received low scores in the Engagement domain. Our study assessed the quality of available mobile oncology apps and identified areas for improvement in design and function.

Modular Development of Cortical Gray Matter Across Childhood and Adolescence.

Brain maturation across childhood and adolescence is characterized by cortical thickness (CT) and volume contraction, and early expansion of surface area (SA). These processes occur asynchronously across the cortical surface, with functional, topographic, and network-based organizing principles proposed to account for developmental patterns. Characterizing regions undergoing synchronized development can help determine whether "maturational networks" overlap with well-described functional networks, and whether they are targeted by neurodevelopmental and psychiatric disorders. In the present study, we modeled changes with age in CT, SA, and volume from 335 typically developing subjects in the NIH MRI study of normal brain development, with 262 followed longitudinally for a total of 724 scans. Vertices showing similar maturation between 5 and 22 years were grouped together using data-driven clustering. Patterns of CT development distinguished sensory and motor regions from association regions, and were vastly different from SA patterns, which separated anterior from posterior regions. Developmental modules showed little similarity to networks derived from resting-state functional connectivity. Our findings present a novel perspective on maturational changes across the cortex, showing that several proposed organizing principles of cortical development co-exist, albeit in different structural parameters, and enable visualization of developmental trends occurring in parallel at remote cortical sites.

Synergistic Effects of Age on Patterns of White and Gray Matter Volume across Childhood and Adolescence

The human brain develops with a nonlinear contraction of gray matter across late childhood and adolescence with a concomitant increase in white matter volume. Across the adult population, properties of cortical gray matter covary within networks that may represent organizational units for development and degeneration. Although gray matter covariance may be strongest within structurally connected networks, the relationship to volume changes in white matter remains poorly characterized. In the present study we examined age-related trends in white and gray matter volume using T1-weighted MR images from 360 human participants from the NIH MRI study of Normal Brain Development. Images were processed through a voxel-based morphometry pipeline. Linear effects of age on white and gray matter volume were modeled within four age bins, spanning 4-18 years, each including 90 participants (45 male). White and gray matter age-slope maps were separately entered into k-means clustering to identify regions with similar age-related variability across the four age bins. Four white matter clusters were identified, each with a dominant direction of underlying fibers: anterior-posterior, left-right, and two clusters with superior-inferior directions. Corresponding, spatially proximal, gray matter clusters encompassed largely cerebellar, fronto-insular, posterior, and sensorimotor regions, respectively. Pairs of gray and white matter clusters followed parallel slope trajectories, with white matter changes generally positive from 8 years onward (indicating volume increases) and gray matter negative (decreases). As developmental disorders likely target networks rather than individual regions, characterizing typical coordination of white and gray matter development can provide a normative benchmark for understanding atypical development.