Cardiovascular risk assessment tools: A scoping review

ObjectivesThe objective of this review was to describe cardiovascular risk (CVR) assessment methods and to identify evidence-based practice recommendations when dealing with population at risk of developing cardiovascular diseases.Review methods and data sourcesA literature review following the Arksey and O'Malley scoping review methodology was conducted. By using appropriate key terms, literature searches were conducted in PubMed, SciELO, Cochrane Library, Dialnet, ENFISPO, Medigraphic, ScienceDirect, Cuiden, and Lilacs databases. A complementary search on websites related to the area of interest was conducted. Articles published in English or Spanish in peer-review journals between 2010 and 2017. Critical appraisal for methodological quality was conducted. Data was extracted using ad-hoc tables and qualitatively synthesized.ResultsAfter eliminating duplicates, 55 325 records remained, and 1432 records were selected for screening. Out of these, 88 full-text articles were selected for eligibility criteria, and finally, 67 studies were selected for this review, and 25 studies were selected for evidence synthesis. In total, 23 CVR assessment tools have been identified, pioneered by the Framingham study. Qualitative findings were grouped into four thematic areas: assessment tools and scores, CVR indicators, comparative models, and evidence-based recommendations.ConclusionsIt is necessary to adapt the instruments to the epidemiological reality of the population. The most appropriate way to estimate CVR is to choose the assessment tool that best suits individual conditions, accompanied by a comprehensive assessment of the patient. More research is required to determine a single, adequate, and reliable tool.     

Fragmentation of care as a barrier to optimal ESKD management

Caring for patients with end-stage kidney disease (ESKD) in the United States is challenging, due in part to the complex epidemiology of the disease's progression as well as the ways in which care is delivered. As CKD progresses toward ESKD, the number of comorbidities increases and care involves multiple healthcare providers from multiple subspecialties. This occurs in the context of a fragmented US healthcare delivery system that is traditionally siloed by provider specialty, organization, as well as systems of payment and administration. This article describes the role of care fragmentation in the delivery of optimal ESKD care and identifies research gaps in the evidence across the continuum of care. We then consider the impact of care fragmentation on ESKD care from the patient and health system perspectives and explore opportunities for system-level interventions aimed at improving care for patients with ESKD.     

Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons

BackgroundTranscranial magnetic stimulation (TMS) enables non-invasive modulation of brain activity with both clinical and research applications, but fundamental questions remain about the neural types and elements TMS activates and how stimulation parameters affect the neural response.ObjectiveTo develop a multi-scale computational model to quantify the effect of TMS parameters on the direct response of individual neurons.MethodsWe integrated morphologically-realistic neuronal models with TMS-induced electric fields computed in a finite element model of a human head to quantify the cortical response to TMS with several combinations of pulse waveforms and current directions.ResultsTMS activated with lowest intensity intracortical axonal terminations in the superficial gyral crown and lip regions. Layer 5 pyramidal cells had the lowest thresholds, but layer 2/3 pyramidal cells and inhibitory basket cells were also activated at most intensities. Direct activation of layers 1 and 6 was unlikely. Neural activation was largely driven by the field magnitude, rather than the field component normal to the cortical surface. Varying the induced current direction caused a waveform-dependent shift in the activation site and provided a potential mechanism for experimentally observed differences in thresholds and latencies of muscle responses.ConclusionsThis biophysically-based simulation provides a novel method to elucidate mechanisms and inform parameter selection of TMS and other cortical stimulation modalities. It also serves as a foundation for more detailed network models of the response to TMS, which may include endogenous activity, synaptic connectivity, inputs from intrinsic and extrinsic axonal projections, and corticofugal axons in white matter.     

Associations of Neutrophil-Lymphocyte Ratios with Reperfusion and Functional Outcomes in Ischemic Stroke after Endovascular Therapy

ObjectivesTreatment of ischemic stroke with endovascular thrombectomy (EVT) leads to improved outcomes compared to IV tPA. The neutrophil-lymphocyte ratio (NLR), a marker of inflammation, has been proposed to predict outcomes in ischemic stroke patients and may be used to identify patients at risk for poor outcomes after EVT.Materials and MethodsThis was a retrospective study of adult ischemic stroke patients undergoing EVT between 1/1/2018 and 12/31/2020. Outcomes were successful reperfusion (TICI score ≥2B), favorable discharge NIHSS (≤4), favorable discharge and 3-month mRS (≤2), and symptomatic intracranial hemorrhage (sICH). The primary exposure was NLR, measured pre- and post-EVT. Other variables collected included demographics and timing of stroke onset, arrival, groin puncture, tPA, and recanalization.ResultsA total of 592 patients were included. The most common vessel involved was the middle cerebral artery (73%). Lower admission NLR was associated with favorable discharge NIHSS and favorable discharge and 3-month mRS (all P < 0.01). NLRs measured after EVT were associated with all the primary outcomes. Improvements in NLR after EVT were associated with favorable discharge (P = 0.02) and 3-month mRS (P = 0.02) and lower incidence of sICH (P = 0.01).ConclusionsBecause of the long-term functional deficits that can persist after ischemic stroke, it is vital to identify patients with higher probability for these outcomes. The results from this study showed that favorable NLR measures, as well as favorable trends in NLR over time, are associated with improved outcomes, indicating that NLR is a useful marker to identify patients at risk for poor functional outcomes.