Self-compassion and health-related quality of life in individuals with endometriosis.

OBJECTIVE: International research highlights the detrimental impact of endometriosis on health-related quality of life (HRQoL), yet few studies have examined positive resources such as self-compassion and resilience as correlates. This cross-sectional study aimed to examine the relationship between self-compassion and HRQoL in individuals with endometriosis in Aotearoa New Zealand. Resilience and perceived symptom severity were examined as potential mediators. METHODS AND MEASURES: Six hundred and three individuals with endometriosis completed an online questionnaire measuring demographic and endometriosis-related information, endometriosis symptoms (number and severity), HRQoL, self-compassion and resilience. RESULTS: In line with international research, the current sample reported significant impairment in all aspects of HRQoL. As expected, those with higher levels of self-compassion reported less impairment in HRQoL, and this relationship was partially mediated by perceived symptom severity (all aspects of HRQoL). Resilience mediated the relationship between self-compassion and two aspects of HRQoL (emotional wellbeing and control/powerlessness). CONCLUSION: These findings confirm that HRQoL is significantly impaired in individuals with endometriosis in Aotearoa New Zealand and point to the potential role of self-compassion and resilience as protective factors in encouraging positive coping styles to manage symptoms and maintain high HRQoL. Interventions targeting self-compassion may be a promising tool to improve wellbeing in individuals with endometriosis.

Association Between Age- and Sex-Specific Body Mass Index Percentile and Multiple Intubation Attempts: A Retrospective Cohort Analysis.

BACKGROUND: Obesity distorts airways and slightly complicates intubations in adults, but whether obesity complicates pediatric intubations remains unclear. We, therefore, tested the primary hypothesis that increasing age- and sex-specific body mass index (BMI) percentile is associated with difficult intubation, defined as >1 intubation attempt. METHODS: We conducted a retrospective analysis of pediatric patients between 2 and 18 years of age who had noncardiac surgery with oral endotracheal intubation. We assessed the association between BMI percentile and difficult intubation, defined as >1 intubation attempt, using a confounder-adjusted multivariable logistic regression model. Secondarily, we assessed whether the main association depended on preoperative substantial airway abnormality status or age group. RESULTS: A total of 9339 patients were included in the analysis. Median [quartiles] age- and sex-specific BMI percentile was 70 [33, 93], and 492 (5.3%) patients had difficult intubation. There was no apparent association between age- and sex-specific BMI percentile and difficult intubation. The estimated odds ratio (OR) for having difficult intubation for a 10-unit increase in BMI percentile was 0.98 (95% confidence interval [CI], 0.95-1.005) and was consistent across the 3 age groups of early childhood, middle childhood, and early adolescence (interaction P = .53). Patients with preoperative substantial airway abnormalities had lower odds of difficult intubation per 10-unit increase in BMI percentile, with OR (95% CI) of 0.83 (0.70-0.98), P = .01. CONCLUSIONS: Age- and sex-specific BMI percentile was not associated with difficult intubation in children between 2 and 18 years of age. As in adults, obesity in children does not much complicate intubation.

iPhemap: an atlas of phenotype to genotype relationships of human iPSC models of neurological diseases.

Disease modeling with induced pluripotent stem cells (iPSCs) is creating an abundance of phenotypic information that has become difficult to follow and interpret. Here, we report a systematic analysis of research practices and reporting bias in neurological disease models from 93 published articles. We find heterogeneity in current research practices and a reporting bias toward certain diseases. Moreover, we identified 663 CNS cell-derived phenotypes from 243 patients and 214 controls, which varied by mutation type and developmental stage in vitro We clustered these phenotypes into a taxonomy and characterized these phenotype-genotype relationships to generate a phenogenetic map that revealed novel correlations among previously unrelated genes. We also find that alterations in patient-derived molecular profiles associated with cellular phenotypes, and dysregulated genes show predominant expression in brain regions with pathology. Last, we developed the iPS cell phenogenetic map project atlas (iPhemap), an open submission, online database to continually catalog disease phenotypes. Overall, our findings offer new insights into the phenogenetics of iPSC-derived models while our web tool provides a platform for researchers to query and deposit phenotypic information of neurological diseases.