Biomechanical Analysis of Orbital Development: A Finite Element Analysis by an Experimentally Validated Model.

AIMS: Constructing orbital finite element models capable of simulating the development process and analyzing the biomechanical mechanism. METHODS: Four normal orbits from 1-month-old New Zealand white rabbits were used in this study. Toshiba Aquilion Prime was used to determine the computed tomography scan and direct orbital pressure manometry using an improved manometer based on the TSD104 pressure sensor transducer. The finite element analysis was conducted using the ANSYS Workbench platform. RESULTS: The biomechanics of each orbital wall improved to varying degrees as the rabbit orbit grew and developed. The von Mises stress in both rabbits initially concentrated at the lower edge of the posterior orbital wall, expanded to the entire orbit, and ultimately became more significant in the biomechanics of the region that consisted of the posterior orbital and superior orbital walls. During the expansion phase, the biomechanics of both rabbits gradually developed from the nasal side to the occipital side for radial displacement. It is evident that the finite element model is a good fit for simulating the physiological development of the rabbit orbit. The maximum radial displacement and maximum von Mises stress appeared 2 intermissions during the development of the orbit, at about 50 to 60 days and 80 to 90 days. CONCLUSION: This study establishes a theoretical foundation for the creation of a biomechanical model of human orbital development by offering the first finite element model to simulate orbital development and analyze the biomechanical mechanism of orbital pressure on orbital development.

Patterns and predictors of symptom burden and posttraumatic growth among patients with cancer: a latent profile analysis.

PURPOSE: The study identified different patterns of symptom burden and posttraumatic growth (PTG) among patients with cancer and to explored the effects of sociodemographic, disease-related, and family resilience factors, which could provide reference for the development of personalized nursing measures. METHODS: A questionnaire survey was conducted with 329 patients with cancer who were undergoing treatment. Latent profile analysis (LPA) was used to explore the patterns of symptom burden and PTG among patients with cancer, and multiple logistic regression analysis was used to explore the influencing factors of different patterns. RESULTS: Based on the fit indicators of LPA, a three-class pattern model of posttraumatic responses was shown to be optimal, including resisting, struggling, and growth groups. In the resisting group (34.34%), patients reported low symptom burden and low PTG; in the struggling group (19.15%), patients showed a high symptom burden and moderate PTG; in the growth group (46.51%), patients showed low symptom burden and high PTG. Moreover, patients with cancer with high levels of family resilience were more likely to fall into the struggling and growth groups. Specifically, those with lower scores in the optimistic attitude and higher scores in the family and social support dimension of family resilience were more likely to fall into the struggling group, whereas those with lower scores in the transcendence and spiritual belief dimensions of family resilience were more likely to fall into the resisting group. Additionally, patients with at least three children were more likely to fall into the struggling group. CONCLUSIONS: This study showed heterogeneity in symptom burden and PTG patterns among patients with cancer. Patients' growth must include both psychological growth and the mitigated symptom burden. Family factors may be intervention targets to improve the growth patterns.

Factors Associated With Pain Catastrophizing in Patients With Chronic Neuropathic Pain: A Cross-Sectional Study.

BACKGROUND: Pain catastrophizing is a significant factor in the recovery of patients with chronic pain. This topic has not received the warranted attention in clinical practice, while the outcomes of pain interventions have been suboptimal. This study explores the current situation of pain catastrophizing in patients with chronic neuropathic pain, its influencing factors, and further analyzes the complex relationship between these factors. METHODS: A cross-sectional study design was used to select preoperative patients hospitalized in the pain and spine surgery departments of two tertiary hospitals in Shandong Province, China, between February and August 2022. The Pain Catastrophizing Scale, Toronto Alexithymia Scale, Connor-Davidson Resilience Scale-Short, Somatization Sub-Scale of Symptom Checklist 90, and a sociodemographic questionnaire were used to evaluate participants' pain catastrophizing, alexithymia, psychological resilience, somatization, and relevant sociodemographic variables, respectively. Descriptive statistics, correlation, univariate, and multivariate analyses were employed throughout this process. RESULTS: Pain catastrophizing in patients with chronic neuropathic pain was affected by pain severity, disease type, alexithymia, psychological resilience, and somatization (p < .05). The mediating effect values of psychological resilience and somatization between alexithymia and pain catastrophizing were both 0.05, with 95% confidence intervals of (0.02, 0.09) and (0.02, 0.07), respectively. CONCLUSIONS: Pain severity, disease type, alexithymia, psychological resilience, and somatization all had a significant effect on pain catastrophizing. Healthcare workers must provide timely and accurate assessments of patients' pain levels to help prevent the onset of pain catastrophizing. Adopting measures to improve alexithymia and somatization symptoms, and focusing on enhancing patients' psychological resilience can also help reduce the level of pain catastrophizing. Cognitive behavioral therapy may be an effective treatment method for pain catastrophizing.

Effects of dyadic-based physical activity intervention on cancer-related fatigue among cancer survivors: A scoping review.

Objective: Cancer-related fatigue is one of the most common adverse reactions to cancer survivors, which has a significant impact on the daily life. As a traumatic event, cancer not only brings great physical and mental harm to patients, but also poses a threat to the physical and psychological health of caregivers. Current studies have shown that physical activity improves cancer-related fatigue in cancer survivors. And studies have suggested that dyadic interventions are more effective in improving patient outcomes and may also provide some benefits to caregivers. But the literature on the effects of dyadic-based physical activity on improving cancer-related fatigue has not been synthesized. This scoping review described the scope and impact of studies on cancer-related fatigue with dyadic-based physical activity interventions. Methods: Six databases which is PubMed, Cochrane Library, Web of Science, Embase, CINAHL and Medline were searched for all studies of dyadic-based physical activity interventions with outcome measures including cancer-related fatigue published since the inception of the databases through May 2022. The search strategy was developed based on PICO principles. Results: This article includes 6 pre and post-test designs and 2 randomized controlled trial design. The majority of participants were survivors with breast and lung cancer. The overall results showed that the effectiveness of dyadic-based physical activity interventions in improving cancer-related fatigue was unsatisfactory. Conclusions: This scoping review suggests that current dyadic-based physical activity interventions are not well-researched among cancer survivors. In the future, more high-quality studies with more sophisticated and rigorous interventions are needed.

Sleep quality, caregiver burden, and individual resilience among parents of children with epilepsy.

PURPOSE: Parents caring for children with epilepsy have poor sleep quality and experience a certain level of caregiving burden. Individual resilience is a crucial psychological variable that contributes to health during extraordinary challenges. This study aimed to determine the relationships among individual resilience, caregiver burden, and sleep quality. METHODS: This was a descriptive cross-sectional study with a convenience sample, following the STROBE guidelines. One hundred and ninety-one parents of children with epilepsy were invited to participate in the study. Of these, 173 participants completed measures of sleep quality, caregiver burden, and individual resilience. Path analysis was performed to probe the indirect relationship between individual resilience and sleep quality via caregiver burden. RESULTS: Correlation analysis revealed that individual resilience total scores were significantly and marginally negatively correlated with caregiver burden and sleep quality total scores (r = -0.215, P <.01; r = -0.250, P <.01). Moreover, there was a significant moderate positive correlation between the total caregiver burden scores and total sleep quality scores (r = 0.389, P <.001). The path model showed that individual resilience is indirectly associated with sleep quality via caregiver burden. CONCLUSION: The higher the level of individual resilience, the less the caregiver burden and the better the sleep quality for parents of children with epilepsy.

A Finite Element Analysis Model is Suitable for Biomechanical Analysis of Orbital Development.

ABSTRACT: The authors investigated orbital bone development in congenital microphthalmia (CM) using a three-dimensional finite element analysis model, after the orbital dimension deficiency was improved with a self-inflating hydrogel expander implant.Data of a 2-year-old male CM patient were examined. The orbital structure, eyeball, eye muscles, and self-inflating hydrogel expander were constructed according to computed tomography examination data. The effects of self-expanding spherical hydrogel at various locations in the muscle cone on orbital bone development were examined using 3-mL self-expanding expanders placed at shallow (model 1: 2 mm depth) and deep (model 2: 8 mm depth) muscle cone positions. This model simulated the hydrogel expansion process; the orbital bone biomechanics and radial displacement nephograms were obtained when the hydrogel volume increased 3, 5, 7, and 9 times and analyzed.The orbital bone biomechanics were concentrated at the medial orbital wall center, gradually spreading to the whole orbital wall. Biomechanics and radial displacement of the inferior temporal and lateral distal orbital wall region were the most significant, and were more significant in model 1 than in model 2.Finite element analysis is suitable for the biomechanical analysis of orbital development in CM. The shallow position inside CM patients' muscle cone is the optimal site for hydrogel implantation.

Prenatal diagnosis of bilateral congenital microphthalmia in two fetuses from the same parents.

Congenital microphthalmia (CM) is a rare anomaly of the fetal orbit, results from developmental defects of the primary optic vesicle, and is characterized by a reduced eyeball volume and axial diameter. Fetal CM cases have rarely been reported. Herein, we present a case of two fetuses with bilateral CM from the same parents, diagnosed using ultrasonography (US) and magnetic resonance imaging (MRI). We found that the antepartum US and MRI measurements were smaller than the postpartum ones. Genetic testing of the parents and fetuses revealed that GL12 gene mutation may be associated with CM.