Preoperative comprehensive malignancy risk estimation for thyroid nodules: Development and verification of a network-based prediction model

BackgroundIn order to avoid excessive treatment of thyroid nodules in the clinic, it is necessary to find a simple and practical analysis method to comprehensively and accurately reflect benign or malignant thyroid nodules. This study aimed to construct and validate a comprehensive and reliable network-based predictive model using a variety of imaging and laboratory criteria for thyroid nodules to stratify the risk of malignancy prior to surgery.MethodsWe retrospectively analyzed data from patients who underwent surgical treatment for thyroid nodules at the Thyroid and Breast Diagnosis and Treatment Center of Weifang Hospital of Traditional Chinese Medicine between January 2018 and December 2020. Binary logical regression analysis was performed to predict whether nodules were malignant or benign. The developmental dataset included 457 patients (January 2018–December 2020). The validation set included separate data points (n = 225, January 2018–December 2020).ResultsIn this study, criteria that showed significant predictive value for malignant nodules included TI-RADS: 4b (p = 0.065); Bethesda IV, Bethesda V, Bethesda VI (P < 0.0001); BRAF^V600E mutation (P < 0.0001); Calcitonin>5 pg/ml (p = 0.0037); and FNA-Tg>30 ng/ml (p = 0.0003). A 10-grade risk scoring system was developed. The risk of malignancy risk ranged from 2.06% to 100% and was positively associated with increasing risk grade. The areas under the receiver-operating characteristic curve of the development and validation sets were 0.972 and 0.946, respectively.ConclusionA simple, comprehensive and reliable web-based predictive model was designed using a variety of imaging and laboratory criteria to stratify thyroid nodules by probability of malignancy.     

Moral Distress and Burnout in NICU Nurses

The objectives of this study were to factor analyze the Moral Distress Scale–Revised (MDS-R) in NICU nurses and to evaluate the relationships among dimensions of the MDS-R and the demoralization, exhaustion, and loss of motive dimensions of the Burnout Measure (BM). A total of 142 NICU nurses completed modified pen-and-paper versions of the MDS-R and BM. Exploratory and confirmatory factor analyses showed that the MDS-R-14 was a relatively good fit for the data. The compromised care dimension predicted BM demoralization (β = 0.24) and exhaustion (β = 0.22), the futile care dimension predicted BM exhaustion (β = 0.18), and the untruthful care dimension predicted BM demoralization (β = .25). Strategies to mitigate moral distress and resulting burnout in NICU nurses should address futile care, compromised care, and untruthful care.     

Neurodevelopmental outcomes of extremely preterm infants: theoretical and epidemiological perspectives to guide shared-care decision-making

Although births below 28 completed weeks' of gestation contribute to less than 1% of all preterm births globally, the impact of extreme prematurity (EPT) on neurodevelopmental outcomes across the life-course is disproportionately large. Higher rates and increased severity of neurodevelopmental impairments (NDIs) are reported among extremely preterm infants (EPIs). Cognitive skills, motor skills (manifesting as cerebral palsy) and vision are most commonly affected, with effects pervasive throughout school, adolescence and early adulthood. In addition, poorer academic outcomes and higher rates of psychiatric morbidity are seen among EPTs. Consistent improvements in EPI survival in recent years has not been matched with improvements in neurodevelopmental outcomes, especially for those born at less than 25 gestational weeks. However, over the last 20 years, several national and cross-national cohort studies have helped advance our understanding of extreme prematurity's developmental and life-course consequences. Here we provide an overview of the key findings from 13 multi-centre cohorts measuring neurodevelopmental outcomes and discuss the theoretical and epidemiological perspectives of NDIs in the context of extreme prematurity to guide communication with families and shared care decision-making.