This study examines the life course of 2 independent components of adult affective development, 1 aimed at differentiation and complexity, the other aimed at optimization and positive emotional balance. These 2 components are predicted to have different developmental trajectories over the adult life span and to become related in a compensatory fashion under conditions of resource restrictions, such as those related to late life. Using individual growth curve estimation, we modeled 6-year longitudinal changes in the 2 components in a total sample of 388 individuals ranging in age from 15 to 88 years. As predicted, initial level of affect optimization was positively associated with age up to late middle age with a subsequent leveling off; individual rates of change were found to decelerate with age up to age 60 years and accelerate again around age 80 years. For affect complexity, initial level of affect complexity was positively associated with age up to age 45 years and negatively associated with age from then on, whereas individual rates of change were negatively associated with age, and this association tended to get stronger with age.

Choosing Wisely was launched by the American Board of Internal Medicine in April 2012 as a patient- and clinician-targeted campaign to reduce potentially unnecessary "low-value" medical services. The campaign's impact on low- and high-value care beyond its first year is unknown; furthermore, it is unknown whether some patients such as members of consumer-directed health plans and people residing in different US regions have responded more than others. To evaluate the impact of Choosing Wisely, we used commercial insurance claims to track changes in the use of low-value imaging (x-ray, computed tomography, and magnetic resonance imaging) for back pain before and after the campaign began, a period running from 2010 to 2014. We selected back pain imaging because it is a prominent target of Choosing Wisely, which considers it low value except in a minority of cases, because of its relatively high out-of-pocket expense, and the large volume of low back pain visits nationally. We found only a 4 percent relative reduction in low-value back imaging 2.5 years after the start of the campaign and some differences in regional trends, but no differences associated with enrollment in consumer-directed health plans. Our findings highlight the ongoing challenge of reducing unnecessary medical care, even when patients have "skin in the game" under consumer-directed health plans.

To identify the risk factors of mortality for the coronavirus disease 19 (COVID-19) patients admitted to intensive care units (ICUs) through a retrospective analysis. The demographic, clinical, laboratory, and chest imaging data of patients admitted to the ICU of Huoshenshan Hospital from February 10 to April 10, 2020 were retrospectively analyzed. Student's t-test and Chi-square test were used to compare the continuous and categorical variables, respectively. The logistic regression model was employed to ascertain the risk factors of mortality. This retrospective study involved 123 patients, including 64 dead and 59 survivors. Among them, 57 people were tested for interleukin-6 (IL-6) (20 died and 37 survived). In all included patients, the oxygenation index (PaO2/FiO2) was identified as an independent risk factor (odd ratio [OR] = 0.96, 95% confidence interval [CI]: 0.928–0.994, p = 0.021). The area under the curve (AUC) was 0.895 (95% CI: 0.826–0.943, p < 0.0001). Among the patients tested for IL-6, the PaO2/FiO2 (OR = 0.955, 95%CI: 0.915–0.996, p = 0.032) and IL-6 (OR = 1.013, 95%CI: 1.001–1.025, p = 0.028) were identified as independent risk factors. The AUC was 0.9 (95% CI: 0.791–0.964, p < 0.0001) for IL-6 and 0.865 (95% CI: 0.748–0.941, p < 0.0001) for PaO2/FiO2. PaO2/FiO2 and IL-6 could potentially serve as independent risk factors for predicting death in COVID-19 patients requiring intensive care.