Nursing Implications of Mindfulness-Informed Interventions for Stroke Survivors and Their Families.

The consequences of stroke can be devastating and include psychological distress, such as anxiety and depression, functional deficits, pain, and cognitive impairment. Symptoms are complex and impact not only the stroke survivor but may also be challenging for family caregivers. Studies have consistently demonstrated that mindfulness-informed interventions (MBI), such as mindfulness-based stress reduction and acceptance and self-compassion therapies, improve symptoms in a wide variety of clinical populations. However, research examining MBIs within the stroke population is in its infancy. Nurses, who have traditionally focused on holistic care delivery are in a unique position to incorporate MBIs throughout the stroke care continuum. In this topical review, we examine the literature related to the use of MBIs in stroke survivors and their family caregivers. We include a critical appraisal of existing literature, discuss nursing implications, and make recommendations for future research. Mindfulness-informed interventions are feasible and acceptable within the stroke population and may be an important complementary treatment to help stroke survivors and their families manage the consequences of stroke. We recommend further research to tailor MBI programs to the unique needs of stroke survivors and their family caregivers. In addition, nurses should consider opportunities to be trained in MBIs and incorporate these programs into their practice and research.

Machine learning models improve prediction of large vessel occlusion and mechanical thrombectomy candidacy in acute ischemic stroke.

BACKGROUND AND PURPOSE: Early identification of large vessel occlusions (LVO) and timely recanalization are paramount to improved clinical outcomes in acute ischemic stroke. A stroke assessment that maximizes sensitivity and specificity for LVOs is needed to identify these cases and not overburden the health system with unnecessary transfers. Machine learning techniques are being used for predictive modeling in many aspects of stroke care and may have potential in predicting LVO presence and mechanical thrombectomy (MT) candidacy. METHODS: Ischemic stroke patients treated at Loyola University Medical Center from July 2018 to June 2019 (N = 286) were included. Thirty-five clinical and demographic variables were analyzed using machine learning algorithms, including logistic regression, extreme gradient boosting, random forest (RF), and decision trees to build models predictive of LVO presence and MT candidacy by area of the curve (AUC) analysis. The best performing model was compared with prior stroke scales. RESULTS: When using all 35 variables, RF best predicted LVO presence (AUC = 0.907 ± 0.856-0.957) while logistic regression best predicted MT candidacy (AUC = 0.930 ± 0.886-0.974). When compact models were evaluated, a 10-feature RF model best predicted LVO (AUC = 0.841 ± 0.778-0.904) and an 8-feature RF model best predicted MT candidacy (AUC = 0.862 ± 0.782-0.942). The compact RF models had sensitivity, specificity, negative predictive value and positive predictive value of 0.81, 0.87, 0.92, 0.72 for LVO and 0.87, 0.97, 0.97, 0.86 for MT, respectively. The 10-feature RF model was superior at predicting LVO to all previous stroke scales (AUC 0.944 vs 0.759-0.878) and the 8-feature RF model was superior at predicting MT (AUC 0.970 vs 0.746-0.834). CONCLUSION: Random forest machine learning models utilizing clinical and demographic variables predicts LVO presence and MT candidacy with a high degree of accuracy in an ischemic stroke cohort. Further validation of this strategy for triage of stroke patients requires prospective and external validation.

Preliminary evidence for a race-based stress reduction intervention for Black women at risk for cardiovascular disease.

OBJECTIVE: Despite evidence that chronic stress, racism, and discrimination impact the well-being and the risk for cardiovascular disease (CVD) in Black women, there are few evidence-based interventions that improve well-being and reduce the risk for CVD in women of minority groups. The purpose of this pilot study was to evaluate the psychobehavioral and anti-inflammatory benefit of a race-based stress reduction program "Resilience, Stress, and Ethnicity (RiSE) for Black women at risk for CVD. METHODS: Black women were recruited from the Chicagoland community and randomized to either the 8-week RiSE intervention (n = 40) or control group (n = 34). Participants were assessed for coping strategies, psychological distress, and blood levels of TNF-alpha and high sensitivity C-reactive protein (hsCRP) at baseline and at 4 and 8 weeks after baseline. RESULTS: Participation in RiSE was associated with a more rapid decline in the use of avoidance coping (b = -0.3585, SE = 0.1705, p < .01). Reductions over time in TNF-alpha (b = -0.0163, SE = .0087, p = .08) and hsCRP (b= -0.4064, SE = 0.2270, p = .08) approached statistical significance. CONCLUSIONS: Findings provide preliminary evidence in Black women at risk for CVD that RiSE contributes to decreases in avoidance coping. Although preliminary, these results suggest RiSE to be an effective intervention to promote improved coping associated with racism and discrimination in minorities.

Basilar Apex Aneurysms in the Setting of Carotid Artery Stenosis: Case Series and Angiographic Anatomic Study.

BACKGROUND: Intracranial aneurysms (IAs) are life-threatening lesions known within the literature to be found incidentally during routine angiographic workup for carotid artery stenosis (CAS). As IAs are associated with vascular shear stress, it is reasonable to expect that altered flow demands within the anterior circulation, such as with CAS, increase compensatory flow demands via the Circle of Willis (COW) and may induce similar stress at the basilar apex. OBJECTIVE: We present a series of nine unruptured basilar apex aneurysms (BAA) with CAS and a comparative radiographic analysis to BAA without CAS. METHODS: Twenty-three patients with BAA were retrospectively identified using records from 2011 to 2016. CAS by North American Symptomatic Carotid Endarterectomy Trial (NASCET) criteria, morphology of BAA, competency of COW, and anatomic relationships within the posterior circulation were examined independently by a neuroradiologist using angiographic imaging. RESULTS: Nine (39%) of the twenty-three BAA patients had CAS, with six having stenosis ≥50%. Four (67%) of the patients with ≥50% CAS demonstrated aneurysm flow angles contralateral to the side with highest CAS. Additionally, the angle between the basilar artery (BA) trajectory and aneurysm neck was observed to be smaller in patients with ≥50% CAS (61 vs 74 degrees). No significant differences in COW patency, posterior circulation morphology, and degree of stenosis were observed. CONCLUSION: Changes in the cervical carotid arteries may lead to blood flow alterations in the posterior circulation that increase the propensity for BAA formation. Posterior circulation imaging can be considered in CAS patients to screen for BAA.