Effectiveness of Emergency versus Nonemergent Coronary Angiography After Out-of-Hospital Cardiac Arrest without ST-Segment Elevation: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

The optimal timing of coronary angiography (CAG) in patients after out-of-hospital cardiac arrest (OHCA) without ST-segment elevation remains controversial. Therefore, we conducted a meta-analysis of randomized control trials to investigate the effectiveness of emergency CAG versus delayed CAG in OHCA patients with a non-ST-segment elevated rhythm. PubMed, Scopus, CINAHL, Cochrane CENTRAL, and JBI databases were searched from inception to September 7, 2022. Our primary end point was survival with a good neurological outcome, whereas the secondary outcomes included short-term survival, mid-term survival, recurrent arrhythmias, myocardial infarction after hospitalization, major bleeding, acute kidney injury, and left ventricular ejection fraction. Nine randomized control trials involving 2,569 patients were included in this analysis. Our meta-analysis showed no significant difference in the improvement of neurological outcome (RR 0.96, 95% Confidence Interval [CI] [0.87, 1.06]), short-term survival (risk ratio [RR] 0.98, 95% CI [0.89, 1.08]), mid-term survival (RR 0.98, 95% CI [0.87, 1.10]), recurrent arrhythmias (RR 1.02, 95% CI [0.50, 2.06]), myocardial infarction (RR 0.66, 95% CI [0.13, 3.30]), major bleeding (RR 0.96, 95% CI [0.55, 1.69]), acute kidney injury (RR 1.20, 95% CI [0.32, 4.49]) and left ventricular ejection fraction (RR 0.89, 95% CI [0.69, 1.15]) in patients who underwent emergency CAG compared with delayed CAG patients. In conclusion, our analysis revealed that emergency CAG had no prognostic superiority over delayed CAG in patients with OHCA without ST-segment elevation.

Perceptions of neighborhood threat and caregiver support in early adolescence: Sex differences in neural and behavioral correlates in the ABCD study.

BACKGROUND: Adolescents, particularly racial and ethnic minorities, are at increased risk for neighborhood threat and violence exposure, which impacts behavioral and neural outcomes. Caregiver support is associated with healthy socioemotional adjustment and self-regulatory and coping behaviors; however, it remains unclear whether caregiver support, specifically, consolation, can moderate the behavioral and neural impacts of neighborhood threat. OBJECTIVE: The aim of this study was to examine the role of youth-perceived neighborhood threat on neural and behavioral correlates and to test the moderating potential of caregiver support. Sex differences in associations were examined. PARTICIPANTS AND SETTING: 11,559 nine- and ten-year old youth enrolled in the multi-site Adolescent Brain Cognitive Development (ABCD) Study at baseline. METHODS: Associations were examined via linear regression models employing youth-perceived neighborhood threat and caregiver support. Regression and interaction models controlled for youth age, sex, race and ethnicity, primary caregiver's education, family income, family structure, youth-perceived school threat, and intracranial volume when examining neural outcomes. An ANOVA employing a Chi-square test and simple slopes analysis were used to identify significant interactions in moderation models. RESULTS: Neighborhood threat is associated with structural alterations in the left amygdala (p = .004). Meanwhile, caregiver support interacts in a dose-response fashion with neighborhood threat to attenuate its relationship with left amygdala volume (p = .008). Among youth reporting neighborhood threat, problematic behaviors were more common (p < .0001). While not significant, males reported higher rates of neighborhood threat than females (p = .267). Females reported greater levels of caregiver support (p = .017). Lastly, racial and ethnic differences in neighborhood threat and caregiver support were evident (p < .001). CONCLUSIONS: While youth may not have been exposed to direct or immediate sources of threat and violence, these findings shed light on the impact of neighborhood threat perception on problematic behaviors and amygdala volume among nine- and ten-year olds. Future research should identify other culturally inclusive sources and measures of support and resiliency.

Expansion of a frontostriatal salience network in individuals with depression.

Hundreds of neuroimaging studies spanning two decades have revealed differences in brain structure and functional connectivity in depression, but with modest effect sizes, complicating efforts to derive mechanistic pathophysiologic insights or develop biomarkers. 1 Furthermore, although depression is a fundamentally episodic condition, few neuroimaging studies have taken a longitudinal approach, which is critical for understanding cause and effect and delineating mechanisms that drive mood state transitions over time. The emerging field of precision functional mapping using densely-sampled longitudinal neuroimaging data has revealed unexpected, functionally meaningful individual differences in brain network topology in healthy individuals, 2-5 but these approaches have never been applied to individuals with depression. Here, using precision functional mapping techniques and 11 datasets comprising n=187 repeatedly sampled individuals and >21,000 minutes of fMRI data, we show that the frontostriatal salience network is expanded two-fold in most individuals with depression. This effect was replicable in multiple samples, including large-scale, group-average data (N=1,231 subjects), and caused primarily by network border shifts affecting specific functional systems, with three distinct modes of encroachment occurring in different individuals. Salience network expansion was unexpectedly stable over time, unaffected by changes in mood state, and detectable in children before the subsequent onset of depressive symptoms in adolescence. Longitudinal analyses of individuals scanned up to 62 times over 1.5 years identified connectivity changes in specific frontostriatal circuits that tracked fluctuations in specific symptom domains and predicted future anhedonia symptoms before they emerged. Together, these findings identify a stable trait-like brain network topology that may confer risk for depression and mood-state dependent connectivity changes in frontostriatal circuits that predict the emergence and remission of depressive symptoms over time.

Vitamin D and polycystic ovary syndrome (PCOS): a review.

A common health problem known as polycystic ovarian syndrome (PCOS), is characterized by irregular periods, an excess of androgen production, and polycystic ovaries. It is one of the most prevalent endocrine disorders in women of reproductive age, affecting 4-20% of women worldwide. Numerous studies have found a connection between the onset and symptoms of PCOS and Vitamin D insufficiency. Vitamin D insufficiency causes calcium dysregulation and follicular arrest in women with PCOS, which is connected to menstrual irregularities and fertility issues. Studies have connected PCOS metabolic alterations to VDR polymorphisms such as iApa-I, Taq-I, Cdx2, and Fok-I. Insulin resistance is directly related to Vitamin D, is one of the most distinctive characteristics of the PCOS phenotype. Thus, it is suggested that Vitamin D therapy may help PCOS patients with their insulin sensitivity. In addition to insulin resistance, cardiovascular issues are a second metabolic disturbance that PCOS patients with low Vitamin D levels experience. Dyslipidemia is not linked to an increased risk of cardiovascular disease in PCOS-affected women. Vitamin D dramatically improves glucose metabolism by increasing insulin production, insulin receptor expression and reducing pro-inflammatory cytokines. The effect of Vitamin D on the metabolic and reproductive dysfunctions associated with PCOS may be mediated by an overall impact on insulin resistance. Vitamin D supplementation improved menstrual periods, increased folliculogenesis, and decreased blood testosterone levels in PCOS patients, all of which had a significant impact on the ability to procreate. As a result, it might be a cutting-edge therapeutic strategy for treating PCOS concurrently.

Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans.

Spatial targeting in transcranial magnetic stimulation protocols does not typically account for the idiosyncratic functional organization of individual human brains. Here, we provide a protocol for implementing targeted functional network stimulation (TANS), which accounts for each individual's unique functional neuroanatomy and cortical folding patterns. Using an example dataset, we describe how to create a head model and estimate the best coil placement and stimulation intensity to minimize off-target effects. For complete details on the use and execution of this protocol, please refer to Lynch et al. (2022).1.

Automated optimization of TMS coil placement for personalized functional network engagement.

Transcranial magnetic stimulation (TMS) is used to treat multiple psychiatric and neurological conditions by manipulating activity in particular brain networks and circuits, but individual responses are highly variable. In clinical settings, TMS coil placement is typically based on either group average functional maps or scalp heuristics. Here, we found that this approach can inadvertently target different functional networks in depressed patients due to variability in their functional brain organization. More precise TMS targeting should be feasible by accounting for each patient's unique functional neuroanatomy. To this end, we developed a targeting approach, termed targeted functional network stimulation (TANS). The TANS approach improved stimulation specificity in silico in 8 highly sampled patients with depression and 6 healthy individuals and in vivo when targeting somatomotor functional networks representing the upper and lower limbs. Code for implementing TANS and an example dataset are provided as a resource.