Semiautomated Detection of Early Infarct Signs on Noncontrast CT Improves Interrater Agreement.

BACKGROUND: Acute ischemic infarct identification on noncontrast computed tomography (NCCT) is highly variable between raters. A semiautomated method for segmentation of acute ischemic lesions on NCCT may improve interrater reliability. METHODS: Patients with successful endovascular reperfusion from the DEFUSE 3 trial (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke) were included. We created relative NCCT (rNCCT) color-gradient overlays by comparing the density of a voxel on NCCT to the homologous region in the contralateral hemisphere. Regions with a relative hypodensity of at least 5% were visualized. We coregistered baseline and follow-up images. Two neuroradiologists and 6 nonradiologists segmented the acute ischemic lesion on the baseline scans with 2 methods: (1) manually outlining hypodense regions on the NCCT (unassisted segmentation) and (2) manually excluding areas deemed outside of the ischemic lesion on the rNCCT color map (rNCCT-assisted segmentation). Voxelwise interrater agreement was quantified using the Dice similarity coefficient and volumetric agreement between raters with the detection index (DI), defined as the true positive volume minus the false positive volume. RESULTS: From a total of 92, we included 61 patients. Median age was 59 (64-77), and 57% were female. Stroke onset was known in 39%. Onset to NCCT was median, 8.5 hours (7-11) and median 10 hours (8.4-11.5) in patients with known and unknown onset, respectively. Compared with unassisted NCCT segmentation, rNCCT-assisted segmentation increased the Dice similarity coefficient by >50% for neuroradiologists (Dice similarity coefficient, 0.38 versus 0.83; P<0.001) and nonradiologists (Dice similarity coefficient, 0.14 versus 0.84; P<0.001), and improved the DI among nonradiologists (mean improvement, 5.8 mL [95% CI, 3.1-8.5] mL, P<0.001) but not among neuroradiologists. CONCLUSIONS: The high variability of manual segmentations of the acute ischemic lesion on NCCT is greatly reduced using semiautomated rNCCT. The rNCCT map may therefore aid acute infarct detection and provide more reliable infarct estimates for clinicians with less experience.

An Electronic Health Record Intervention to Limit Viral Testing of Cerebrospinal Fluid.

Meningitis and encephalitis are neurologic emergencies that require immediate management and current guidelines recommend empiric treatment with broad-spectrum antimicrobials. Cerebrospinal fluid (CSF) testing algorithms are heterogeneous and largely institution-specific, reflecting a lack of consensus on how to effectively identify CSF pathogens while conserving resources and avoiding false positives. Moreover, many lumbar punctures (LPs) performed in the inpatient setting are done for noninfectious workups, such as evaluation for leptomeningeal metastasis. As such, tailoring CSF testing to clinical context has been a focus of multiple prior reports and several healthcare systems have focused on efforts to limit low-yield diagnostic testing when a positive result is unlikely. To curb ordering viral PCRs when pre-test probability is low, some peer institutions have implemented pleocytosis criteria for virus-specific polymerase chain reaction (PCR) tests from CSF. In this report, we retrospectively analyzed the diagnostic testing of CSF from patients who had an LP while admitted to a single, large academic medical center and found that many cases of Herpes Simplex Virus (HSV) meningoencephalitis were diagnosed by non-neurologists. The rate of positive virus-specific PCR tests was very low, and tests were frequently ordered in duplicate with a multiplexed meningitis/encephalitis PCR panel (M/E panel, BioFire, Salt Lake City, UT). We designed and implemented a systems-level intervention to promote a revised stepwise testing algorithm that minimizes unnecessary tests. This intervention led to a significant reduction in the number of low-yield virus-specific PCR tests ordered without implementing a policy of cancelling virus-specific PCRs.

Improved access to rapid electroencephalography at a community hospital reduces inter-hospital transfers for suspected non-convulsive seizures.

OBJECTIVE: Patients with suspected non-convulsive seizures are optimally evaluated with EEG. However, limited EEG infrastructure at community hospitals often necessitates transfer for long-term EEG monitoring (LTM). Novel point-of-care EEG systems could expedite management of nonconvulsive seizures and reduce unnecessary transfers. We aimed to describe the impact of rapid access to EEG using a novel EEG device with remote expert interpretation (tele-EEG) on rates of transfer for LTM. METHODS: We retrospectively identified a cohort of patients who underwent Rapid-EEG (Ceribell Inc., Mountain View, CA) monitoring as part of a new standard-of-care at a community hospital. Rapid-EEGs were initially reviewed on-site by a community hospital neurologist before transitioning to tele-EEG review by epileptologists at an affiliated academic hospital. We compared the rate of transfer for LTM after Rapid-EEG/tele-EEG implementation to the expected rate if rapid access to EEG was unavailable. RESULTS: Seventy-four patients underwent a total of 118 Rapid-EEG studies (10 with seizure, 18 with highly epileptiform patterns, 90 with slow/normal activity). Eighty-one studies (69%), including 9 of 10 studies that detected seizures, occurred after-hours when EEG was previously unavailable. Based on historical practice patterns, we estimated that Rapid-EEG potentially obviated transfer for LTM in 31 of 33 patients (94%); both completed transfers occurred before the transition to tele-EEG review. SIGNIFICANCE: Rapid access to EEG led to the detection of seizures that would otherwise have been missed and reduced inter-hospital transfers for LTM. We estimate that the reduction in inter-hospital transportation costs alone would be in excess of $39,000 ($1,274 per patient). Point-of-care EEG systems may support a hub-and-spoke model for managing non-convulsive seizures (similar to that utilized in this study and analogous to existing acute stroke infrastructures), with increased EEG capacity at community hospitals and tele-EEG interpretation by specialists at academic hospitals that can accept transfers for LTM.

Evaluating the utility of Rapid Response EEG in emergency care.

BACKGROUND: Timely management of non-convulsive status epilepticus (NCSE) is critical to improving patient outcomes. However, NCSE can only be confirmed using electroencephalography (EEG), which is either significantly delayed or entirely unavailable in emergency departments (EDs). We piloted the use of a new bedside EEG device, Rapid Response EEG (Rapid-EEG, Ceribell), in the ED and evaluated its impact on seizure management when used by emergency physicians. METHODS: Patients who underwent Rapid-EEG to rule out NCSE were prospectively enrolled in a pilot project conducted at two ED sites (an academic hospital and a community hospital). Physicians were surveyed on the perceived impact of the device on seizure treatment and patient disposition, and we calculated physicians' sensitivity and specificity (with 95% CI) for diagnosing NCSE using Rapid-EEG's Brain Stethoscope function. RESULTS: Of the 38 patients enrolled, the one patient with NCSE was successfully diagnosed and treated within minutes of evaluation. Physicians reported that Rapid-EEG changed clinical management for 20 patients (53%, 95% CI 37% to 68%), primarily by ruling out seizures and avoiding antiseizure treatment escalation, and expedited disposition for 8 patients (21%, 95% CI 11% to 36%). At the community site, physicians diagnosed seizures by their sound using Brain Stethoscope with 100% sensitivity (95% CI 5% to 100%) and 92% specificity (95% CI 62% to 100%). CONCLUSION: Rapid-EEG was successfully deployed by emergency physicians at academic and community hospitals, and the device changed management in a majority of cases. Widespread adoption of Rapid-EEG may lead to earlier diagnosis of NCSE, reduced unnecessary treatment and expedited disposition of seizure mimics.

Remote Longitudinal Inpatient Acute Stroke Care Via Telestroke.

OBJECTIVES: While telestroke 'hub-and-spoke' systems are a well-established model for improving acute stroke care at spoke facilities, utility beyond the hyperacute phase is unknown. In patients receiving intravenous thrombolysis via telemedicine, care at spoke facilities has been shown to be associated with longer length of stay and worse outcomes. We sought to explore the impact of ongoing stroke care by a vascular neurologist via telemedicine compared to care provided by local neurologists. METHODS: A network spoke facility protocol was revised to pilot telestroke consultation with a hub vascular neurologist for all patients presenting to the emergency department with ischemic stroke or transient ischemic attack regardless of time since onset or severity. Subsequent telestroke rounds were performed for patients who received initial telestroke consultation. Key outcome measures were length of stay, 30-day readmission and mortality and 90-day mRS. Results during the pilot (post-cohort) were compared to the same hospital's previous outcomes (pre-cohort). RESULTS: Of 257 enrolled patients, 67% were in the post-cohort. Forty percent (69) of the post-cohort received an initial telestroke consult. In spoke-retained patients followed by telestroke rounds (55), median length of stay decreased by 0.8 days (P = 0.01). Readmission and mortality rates did not differ significantly between groups (19.5 vs. 9.1%, P = 0.14 and 3.9 vs. 3.6%, P = 1, respectively). The favorable functional outcome rate was similar between groups (47.3% vs 65.9%, P = 0.50). CONCLUSIONS: Longitudinal stroke care via telestroke may be economically viable through length of stay reduction. Randomized prospective studies are needed to confirm our findings and further investigate this model's potential benefits.

What patients see online: assessing the online identities of Pennsylvania dermatologists.

INTRODUCTION: Patients use the internet to search for health-related information. We sought to characterize the information that patients find when searching for dermatologists on Google. METHODS: The Centers for Medicare and Medicaid Services (CMS) Physician Comparable Downloadable File was utilized to identify all Medicare-participating dermatologists practicing in Pennsylvania (PA). A custom Google-based search engine was used to search each dermatologist. Up to the top 10 results for each physician were then sorted into: (1) physician, hospital, or healthcare system, (2) third-party, (3) social media, (4) academic journal articles, or (5) other. RESULTS: Within the CMS, 519 health care providers (53.9% male, 46.1% female) self-identified as dermatologists practicing in PA. At least one search result was obtained for each physician (4,963 total search results). About 30.6% (1,519) search results were hospital, health system, or physician-controlled websites, and 26.6% (1,318) were third-party websites (1,318; 26.6%). Social media websites accounted for 601 (12.1%) hits whereas peer-reviewed academic journal websites generated 135 (2.7%) results. One-way chi-square analysis showed domains were not randomly distributed across the five categories (P<0.0001). CONCLUSION: Dermatologists should be better aware of their digital presence and the strategies to better control their online identity.

Development of an Evaluative, Educational, and Communication-Facilitating App for Older Adults with Chronic Low Back Pain: Patient Perceptions of Usability and Utility.

OBJECTIVE: The purpose of this study is to examine the usability and utility of an office-based iPad app that we developed for older adults with chronic low back pain (CLBP). The app screens for conditions that contribute to back pain and pain interference and provides personalized education based on patient responses. It also facilitates patient-provider communication regarding treatment targets and expectations. METHODS: Forty-six older adults (age ≥60 years) with CLBP were recruited from the Veterans Affairs and from the Pittsburgh community. Testing was split into two phases. Alpha testing (N = 15) was used to drive design changes to the app. Beta testing (N = 30, after one participant withdrew) used a structured questionnaire to evaluate the app's usability and utility. RESULTS: The application was rated highly for usability and utility (9.6 and 8.9 out of 10, respectively). The majority of participants (82.1%) agreed that the app would help them communicate with their doctor and that it gave them useful information about potentially harmful or unnecessary interventions such as opioids and imaging (79.2% and 75.0%). Participants (age ≥60 years, mean age = 75.5 years) were able to successfully use the application without assistance and would be willing to do so in their primary care office. CONCLUSIONS: We present the development of a CLBP app that screens for pain contributors and provides personalized education based on patient responses. Such an app could be employed in a variety of clinical settings to help educate patients about their CLBP and to curtail unnecessary interventions. Patient outcomes are being tested in an ongoing clinical trial.

Digital Footprint of Neurological Surgeons.

BACKGROUND: Patients are increasingly turning to online resources to inquire about individual physicians and to gather health information. However, little research exists studying the online presence of neurosurgeons across the country. This study aimed to characterize these online profiles and assess the scope of neurosurgeons' digital identities. METHODS: Medicare-participating neurologic surgeons from the United States and Puerto Rico were identified using the Centers for Medicare and Medicaid Services (CMS) Physician Comparable Downloadable File. Each physician was characterized by his or her medical education, graduation year, city of practice, gender, and affiliation with an academic institution. Using a Google-based custom search tool, the top 10 search results for each physician were extracted and categorized as 1 of the following: 1) physician, hospital, or healthcare system controlled, 2) third-party or government controlled, 3) social media-based, 4) primary journal article, or 5) other. RESULTS: Among the physicians within the CMS database, 4751 self-identified as being neurosurgeons, yielding a total of 45,875 uniform resource locator search results pertinent to these physicians. Of the 4751 neurosurgeons, 2317 (48.8%) and 2434 (51.2%) were classified as academic and nonacademic neurosurgeons, respectively. At least 1 search result was obtained for every physician. Hospital, healthcare system, or physician-controlled websites (18,206; 39.7%) and third-party websites (17,122; 37.3%) were the 2 most commonly observed domain types. Websites belonging to social media platforms accounted for 4843 (10.6%) search results, and websites belonging to peer-reviewed academic journals accounted for 1888 (4.1%) search results. The frequency with which a third-party domain appeared as the first search result was higher for nonacademic neurosurgeons than for academic neurosurgeons. CONCLUSIONS: In general, neurosurgeons lacked a controllable online presence within their first page of Google Search results. Third-party physician rating websites constituted about half of the search results, and a relative lack of social media websites was apparent. Still, numerous opportunities exist for neurosurgeons to address this disparity.

Reputation Management and Content Control: An Analysis of Radiation Oncologists' Digital Identities.

INTRODUCTION: Google is the most popular search engine in the United States, and patients are increasingly relying on online webpages to seek information about individual physicians. This study aims to characterize what patients find when they search for radiation oncologists online. METHODS AND MATERIALS: The Centers for Medicare and Medicaid Services (CMS) Physician Comparable Downloadable File was used to identify all Medicare-participating radiation oncologists in the United States and Puerto Rico. Each radiation oncologist was characterized by medical school education, year of graduation, city of practice, gender, and affiliation with an academic institution. Using a custom Google-based search engine, up to the top 10 search results for each physician were extracted and categorized as relating to: (1) physician, hospital, or health care system; (2) third-party; (3) social media; (4) academic journal articles; or (5) other. RESULTS: Among all health care providers in the United States within CMS, 4443 self-identified as being radiation oncologists and yielded 40,764 search results. Of those, 1161 (26.1%) and 3282 (73.9%) were classified as academic and nonacademic radiation oncologists, respectively. At least 1 search result was obtained for 4398 physicians (99.0%). Physician, hospital, and health care-controlled websites (16,006; 39.3%) and third-party websites (10,494; 25.7%) were the 2 most often observed domain types. Social media platforms accounted for 2729 (6.7%) hits, and peer-reviewed academic journal websites accounted for 1397 (3.4%) results. About 6.8% and 6.7% of the top 10 links were social media websites for academic and nonacademic radiation oncologists, respectively. CONCLUSIONS: Most radiation oncologists lack self-controlled online content when patients search within the first page of Google search results. With the strong presence of third-party websites and lack of social media, opportunities exist for radiation oncologists to increase their online presence to improve patient-provider communication and better the image of the overall field. We discuss strategies to improve online visibility.

CO2-Responsive Graft Modified Chitosan for Heavy Metal (Nickel) Recovery.

Chitosan was chemically functionalized with poly(diethylaminoethyl methacrylate) (PDEAEMA) using a grafting to approach to produce a CO2-responsive material for adsorbing metals from wastewater streams. A need for improved economical and greener approaches to recover heavy metals from wastewater streams exists due to increasing resource scarcity. Chitosan is currently used as an adsorbent for heavy metals but suffers from some properties that can be disadvantageous to its effectiveness; it is difficult to effectively disperse in water (which limits available surface area) and to regenerate. We set out to improve its effectiveness by grafting CO2-responsive tertiary amine containing polymers onto the chitosan backbone, with the goals of preparing and assessing a new type of adsorbent based on a novel concept; using carbon dioxide switchable polymers to enhance the performance of chitosan. PDEAEMA chains prepared by nitroxide-mediated polymerization were grafted onto chitosan functionalized with glycidyl methacrylate. In carbonated water, the grafted chitosan displayed improved dispersibility and exhibited a Ni(II) adsorption capacity higher than several other chemically functionalized chitosan variants reported in the literature with the regenerated material having a higher capacity than all physical and chemical derivatives reported in the literature. The results of this study validate the continued development of this material for applications in heavy metal removal and recovery from wastewater streams.