Mechanical thrombectomy after acute ischemic stroke in patients with left ventricular assist devices: A nationwide analysis.

INTRODUCTION: Left ventricular assist devices (LVADs) are an established, durable, and life-saving treatment option for patients with advanced heart failure. However, large vessel occlusions (LVOs) remain one of its most devastating embolic complications. Mechanical thrombectomy (MT) is safe and effective in the management of LVOs in the general population, but LVO trials largely excluded patients on mechanical circulatory support, and large-scale analyses of outcomes following these interventions in the LVAD population are lacking. METHODS: Using the National Inpatient Sample, we identified all adult patients hospitalized with acute ischemic stroke (AIS) from 2005 to 2018. Regression models adjusting for patient demographics, hospital factors, and clinical severity were used to compare outcomes following MT in patients with and without LVAD. Subgroup analyses were also performed in LVAD patients experiencing stroke in the post-operative setting and stroke in the setting of pre-existing devices. RESULTS: Of the 1,633,234 AIS hospitalizations identified, 794 occurred in patients with LVADs. Around 61% were post-operative. Post-stroke in-hospital mortality was higher among patients with LVADs (23.3% vs 7.23%, P < 0.001). Among those receiving MT, mortality was also higher in the LVAD population (31.0% vs 14.1%, P = 0.009), though this was largely driven by the post-operative LVAD subgroup. In multivariable analysis, only post-operative LVAD patients experienced greater odds of in-hospital death after MT (adjusted odds ratio (aOR): 8.66, confidence interval (CI):1.46-51.3); patients with pre-existing LVADs demonstrated no difference in post-MT mortality (aOR: 1.06; 95% CI: 0.29-3.91) or in odds of discharge home after MT (aOR 0.63, CI: 0.17-2.32). CONCLUSION: Our data suggest MT is not a futile treatment approach in patients with pre-existing LVADs and may result in similar rates of good outcomes. Additional research is needed to evaluate the long-term benefits of endovascular therapy after stroke in patients on LVAD support.

Three-dimensional printing: technologies, applications, and limitations in neurosurgery.

Three-dimensional (3D) printers are a developing technology penetrating a variety of markets, including the medical sector. Since its introduction to the medical field in the late 1980s, 3D printers have constructed a range of devices, such as dentures, hearing aids, and prosthetics. With the ultimate goals of decreasing healthcare costs and improving patient care and outcomes, neurosurgeons are utilizing this dynamic technology, as well. Digital Imaging and Communication in Medicine (DICOM) can be translated into Stereolithography (STL) files, which are then read and methodically built by 3D Printers. Vessels, tumors, and skulls are just a few of the anatomical structures created in a variety of materials, which enable surgeons to conduct research, educate surgeons in training, and improve pre-operative planning without risk to patients. Due to the infancy of the field and a wide range of technologies with varying advantages and disadvantages, there is currently no standard 3D printing process for patient care and medical research. In an effort to enable clinicians to optimize the use of additive manufacturing (AM) technologies, we outline the most suitable 3D printing models and computer-aided design (CAD) software for 3D printing in neurosurgery, their applications, and the limitations that need to be overcome if 3D printers are to become common practice in the neurosurgical field.

Computerized spiral analysis using the iPad.

BACKGROUND: Digital analysis of writing and drawing has become a valuable research and clinical tool for the study of upper limb motor dysfunction in patients with essential tremor, Parkinson's disease, dystonia, and related disorders. We developed a validated method of computerized spiral analysis of hand-drawn Archimedean spirals that provides insight into movement dynamics beyond subjective visual assessment using a Wacom graphics tablet. While the Wacom tablet method provides robust data, more widely available mobile technology platforms exist. NEW METHOD: We introduce a novel adaptation of the Wacom-based method for the collection of hand-drawn kinematic data using an Apple iPad. This iPad-based system is stand-alone, easy-to-use, can capture drawing data with either a finger or capacitive stylus, is precise, and potentially ubiquitous. RESULTS: The iPad-based system acquires position and time data that is fully compatible with our original spiral analysis program. All of the important indices including degree of severity, speed, presence of tremor, tremor amplitude, tremor frequency, variability of pressure, and tightness are calculated from the digital spiral data, which the application is able to transmit. COMPARISON WITH EXISTING METHOD: While the iPad method is limited by current touch screen technology, it does collect data with acceptable congruence compared to the current Wacom-based method while providing the advantages of accessibility and ease of use. CONCLUSIONS: The iPad is capable of capturing precise digital spiral data for analysis of motor dysfunction while also providing a convenient, easy-to-use modality in clinics and potentially at home.

Prognosticating Functional Outcome After Intracerebral Hemorrhage: The ICHOP Score.

BACKGROUND: The morbidity, mortality, and monetary cost associated with intracerebral hemorrhage (ICH) is devastatingly high. Several scoring systems have been proposed to prognosticate outcomes after ICH, although the original ICH Score is still the most widely used. However, recent research suggests that systemic physiologic factors, such as those included in the Acute Physiology and Chronic Health Evaluation II score, may also influence outcome. In addition, no scoring systems to date have included premorbid functional status. Therefore, we propose a scoring system that incorporates these factors to prognosticate 3-month and 12-month functional outcomes. METHODS: We used the Random Forest machine-learning technique to identify factors from a dataset of more than 200 data points per patient that were most strongly affiliated with functional outcome. We then used linear regression to create an initial model based on these factors and modified weightings to improve accuracy. Our scoring system was compared with the ICH Score for prognosticating functional outcomes. RESULTS: Two separate scoring systems (Intracerebral Hemorrhage Outcomes Project 3 [ICHOP3] and ICHOP12) were developed for 3-month and 12-month functional outcomes using Glasgow Coma Scale, National Institutes of Health Stroke Scale, Acute Physiology and Chronic Health Evaluation II, premorbid modified Rankin Scale (mRS), and hematoma volume (3-month only). Patient outcomes were dichotomized into good (mRS score, 0-3) and poor (mRS score, 4-6) categories based on functional status. Areas under the curve in the derivation cohort for predicting mRS score were 0.89 (3-month) and 0.87 (12-month); both were significantly more discriminatory than the original ICH Score. CONCLUSIONS: The ICHOP scores may provide more comprehensive evaluation of a patient's long-term functional prognosis by taking into account systemic physiologic factors as well as premorbid functional status.