Utility of smart watches for identifying arrhythmias in children.

BACKGROUND: Arrhythmia symptoms are frequent complaints in children and often require a pediatric cardiology evaluation. Data regarding the clinical utility of wearable technologies are limited in children. We hypothesize that an Apple Watch can capture arrhythmias in children. METHODS: We present an analysis of patients ≤18 years-of-age who had signs of an arrhythmia documented by an Apple Watch. We include patients evaluated at our center over a 4-year-period and highlight those receiving a formal arrhythmia diagnosis. We evaluate the role of the Apple Watch in arrhythmia diagnosis, the results of other ambulatory cardiac monitoring studies, and findings of any EP studies. RESULTS: We identify 145 electronic-medical-record identifications of Apple Watch, and find arrhythmias confirmed in 41 patients (28%) [mean age 13.8 ± 3.2 years]. The arrythmias include: 36 SVT (88%), 3 VT (7%), 1 heart block (2.5%) and wide 1 complex tachycardia (2.5%). We show that invasive EP study confirmed diagnosis in 34 of the 36 patients (94%) with SVT (2 non-inducible). We find that the Apple Watch helped prompt a workup resulting in a new arrhythmia diagnosis for 29 patients (71%). We note traditional ambulatory cardiac monitors were worn by 35 patients (85%), which did not detect arrhythmias in 10 patients (29%). In 73 patients who used an Apple Watch for recreational or self-directed heart rate monitoring, 18 (25%) sought care due to device findings without any arrhythmias identified. CONCLUSION: We demonstrate that the Apple Watch can record arrhythmia events in children, including events not identified on traditionally used ambulatory monitors.

Wearable devices, such as smart watches, have become popular for the monitoring of health, particularly for people with heart conditions. Wearable devices have been well-studied in adults, however there is less information available on their effectiveness in monitoring children's health. We reviewed the heart electrical recordings of a group of children who submitted recordings obtained from their Apple Watches during moments when they felt as though their heart's rhythm was abnormal. The Apple Watches captured rhythm abnormalities that matched the diagnoses obtained using heart monitors used clinically. This study shows that use of Apple Watches can enable clinicians to identify abnormalities that many traditional at-home monitoring devices do not detect. Thus, wearable devices, such as the Apple Watch, could be used to help identify heart rhythm disorders in children.

CardinalKit: open-source standards-based, interoperable mobile development platform to help translate the promise of digital health.

Smartphone devices capable of monitoring users' health, physiology, activity, and environment revolutionize care delivery, medical research, and remote patient monitoring. Such devices, laden with clinical-grade sensors and cloud connectivity, allow clinicians, researchers, and patients to monitor health longitudinally, passively, and persistently, shifting the paradigm of care and research from low-resolution, intermittent, and discrete to one of persistent, continuous, and high resolution. The collection, transmission, and storage of sensitive health data using mobile devices presents unique challenges that serve as significant barriers to entry for care providers and researchers alike. Compliance with standards like HIPAA and GDPR requires unique skills and practices. These requirements make off-the-shelf technologies insufficient for use in the digital health space. As a result, budget, timeline, talent, and resource constraints are the largest barriers to new digital technologies. The CardinalKit platform is an open-source project addressing these challenges by focusing on reducing these barriers and accelerating the innovation, adoption, and use of digital health technologies. CardinalKit provides a mobile template application and web dashboard to enable an interoperable foundation for developing digital health applications. We demonstrate the applicability of CardinalKit to a wide variety of digital health applications across 18 innovative digital health prototypes.

Characterizing patient-reported claudication treatment goals to support patient-centered treatment selection and measurement strategies.

OBJECTIVE: Patient-reported outcomes (PRO) have been increasingly emphasized for peripheral artery disease (PAD). Patient-defined treatment goals and expectations, however, are poorly understood and might not be achievable or aligned with guidelines or clinical outcomes. We evaluated the patient-reported treatment goals among patients with claudication and the associations between patient characteristics, goals, and PAD-specific PRO scores. METHODS: Patients with a diagnosis of claudication were prospectively recruited. Patient-defined treatment goals and outcomes related to walking distance, duration, and speed were quantified using multiple-choice survey items. Free-text items were used to identify activities other than walking distance, duration, or speed associated with symptoms and treatment goals. The peripheral artery disease quality of life and walking impairment questionnaire instruments were included as PRO. The treatment goal categories were compared with the PRO percentile scores using 95% confidence intervals (CIs), categorical tests, and logistic regression models. Associations between the patient characteristics and PRO were evaluated using linear and ordinal logistic regression models. RESULTS: A total of 150 patients meeting the inclusion criteria were included in the present study. Of these 150 patients, 144 (96%) viewed the entire survey. Their mean age was 70.0 ± 11.3 years, and 32.9% were women. Most of the respondents had self-reported their race as White (n = 135), followed by Black (n = 3), Asian (n = 2), Native American (n = 2), and other/unknown (n = 2). Two participants self-reported Hispanic ethnicity. The primary treatment goals were an increased walking distance or duration without stopping (62.0%), the ability to perform a specific activity or task (23.0%), an increased walking speed (8.0%), or other/none of the above (7.0%). The specific activities associated with symptoms or goals included outdoor recreation (38.5%), labor-related tasks (30.7%), sports (26.9%), climbing stairs (23.1%), uphill walking (19.2%), and shopping (6%). Among the patients choosing an increased walking distance and duration as the primary goals, 64% had indicated that a distance of ≥0.5 mile (2640 ft) and 59% had indicated a duration of ≥30 minutes would be a minimum increase consistent with meaningful improvement. Increasing age was associated with lower odds of a distance improvement goal of ≥0.5 mile (odds ratio [OR], 0.68 per 5 years; 95% CI, 0.51-0.92; P = .012) or duration improvement goal of ≥30 minutes (OR, 0.76 per 5 years; 95% CI, 0.58-0.99; P = .047). Patient characteristics associated with PAD Quality of Life percentile scores included age, ankle brachial index, and gender. Ankle brachial index was the only patient characteristic associated with the walking impairment questionnaire percentile scores. CONCLUSIONS: Patients define treatment goals according to their desired activities and expectations, which may influence their goals and perceived outcomes. Patients' expectations of minimum increases in walking distance and duration consistent with meaningful improvement exceeded reported minimum important difference criteria for many patients and would not be captured using common clinic-based walking tests. Patient age was associated with both treatment goals and PRO scores, and the related floor and ceiling effects could influence sensitivity to PRO changes for younger and older patients, respectively. Heterogeneity in treatment goals supports consideration of tailored decision-making and outcomes informed by patient characteristics and perspectives.

Use of an app-based exercise therapy program including cognitive-behavioral techniques for the management of intermittent claudication.

OBJECTIVE: Clinical practice guidelines recommend supervised exercise therapy (SET) as first-line therapy for patients with peripheral artery disease (PAD) and intermittent claudication (IC). The Society for Vascular Surgery Appropriate Use Criteria for IC deems excercise therapy (ET) as appropriate for all patients with IC. However, compliance with recommendations for the use of ET is often poor owing to the lack of availability, patient travel requirements, and cost. Results of home-based ET programs have been mixed with a trend toward improved results with more frequent patient engagement. The feasibility, use, and effectiveness of a 12-week app-based structured ET program using cognitive-behavioral therapy (CBT) techniques for IC was evaluated. METHODS: Patients with PAD confirmed by an abnormal ankle-brachial index or toe-brachial index and IC were recruited prospectively to participate in Society for Vascular Surgery SET, a 12-week app-based ET program. Participants performed home 6-minute walk tests, completed quality-of-life surveys, received education options via micro learning courses (eg, What is PAD?, Exercise, and Nutrition), and ongoing health coaching using CBT techniques. They were instructed to record at least three 30-minute ET walks a week using their personal mobile phones. Programming also included daily doses of health education, coaching, and reminders sent via text message. RESULTS: One hundred thirty-nine patients (37% women; mean age, 65 years) were enrolled across 20 institutions (44% offered in-person ET programs). One hundred twenty patients (86%) completed the program. Participants recorded 201,163 minutes of walking 8,013,520 steps with the ET program, completing a total of 5049 SET walks. Nineteen enrolled participants (14%) became inactive because they either paused (14 participants: medical reasons, travel, or other) or withdrew (5 participants: security concerns, lack of motivation). Ninety-two percent of patients met their stated CBT specific, measurable, achievable, relevant, and time-bound goals. Freedom from intervention at 6 months was 92% and 69% at 12 months. CONCLUSIONS: Deployment of a 12-week app-based ET program for PAD incorporating CBT was feasible in achieving 86% program completion and effective at meeting guideline recommended activity goals. Ninety-two percent of participants achieved their CBT specific, measurable, achievable, relevant, and time-bound goals. The use of ET was increased by virtue of offering this program at institutions that did not offer ET.

A Comparative Utility Score for Digital Health Tools.

Digital health tools (DHT) are increasingly poised to change healthcare delivery given the Coronavirus Disease 2019 (COVID-19) pandemic and the drive to telehealth. Establishing the potential utility of a given DHT could aid in identifying how it could be best used and further opportunities for healthcare improvement. We propose a metric, a Utility Factor Score, which quantifies the benefits of a DHT by explicitly defining adherence and linking it directly to satisfaction and health goals met. To provide data for how the comparative utility score can or should work, we illustrate in detail the application of our metrics across four DHTs with two simulated users. The Utility Factor Score can potentially facilitate integration of DHTs into various healthcare settings and should be evaluated within a clinical study.

Modest Gains After an 8-Week Exercise Program Correlate With Reductions in Non-traditional Markers of Cardiovascular Risk.

Background: Although engaging in physical exercise has been shown to reduce the incidence of cardiovascular events, the molecular mechanisms by which exercise mediates these benefits remain unclear. Based on epidemiological evidence, reductions in traditional risk factors only accounts for 50% of the protective effects of exercise, leaving the remaining mechanisms unexplained. The objective of this study was to determine whether engaging in a regular exercise program in a real world clinical setting mediates cardiovascular protection via modulation of non-traditional risk factors, such as those involved in coagulation, inflammation and metabolic regulation. Methods and Results: We performed a prospective, cohort study in 52 sedentary patients with cardiovascular disease or cardiovascular risk factors at two tertiary medical centers between January 1, 2016 and December 31, 2019. Prior to and at the completion of an 8-week exercise program, we collected information on traditional cardiovascular risk factors, exercise capacity, and physical activity and performed plasma analysis to measure levels of fibrinolytic, inflammatory and metabolic biomarkers to assess changes in non-traditional cardiovascular risk factors. The median weight change, improvement in physical fitness, and change in physical activity for the entire cohort were: -4.6 pounds (IQR: +2 pounds, -11.8 pounds), 0.37 METs (IQR: -0.076 METs, 1.06 METs), and 252.7 kcals/week (IQR: -119, 921.2 kcals/week). In addition to improvement in blood pressure and cholesterol, patients who lost at least 5 pounds, expended at least 1,000 additional kcals/week, and/or achieved ≥0.5 MET increase in fitness had a significant reduction in plasminogen activator inhibitor-1 [9.07 ng/mL (95% CI: 2.78-15.35 ng/mL); P = 0.026], platelet derived growth factor beta [376.077 pg/mL (95% CI: 44.69-707.46 pg/mL); P = 0.026); and angiopoietin-1 [(1104.11 pg/mL (95% CI: 2.92-2205.30 pg/mL); P = 0.049)]. Conclusion: Modest improvements in physical fitness, physical activity, and/or weight loss through a short-term exercise program was associated with decreased plasma levels of plasminogen activator inhibitor, platelet derived growth factor beta, and angiopoietin, which have been associated with impaired fibrinolysis and inflammation.

Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease.

BACKGROUND: Smartphone and wearable-based activity data provide an opportunity to remotely monitor functional capacity in patients. In this study, we assessed the ability of a home-based 6-minute walk test (6MWT) as well as passively collected activity data to supplement or even replace the in-clinic 6MWTs in patients with cardiovascular disease. METHODS: We enrolled 110 participants who were scheduled for vascular or cardiac procedures. Each participant was supplied with an iPhone and an Apple Watch running the VascTrac research app and was followed for 6 months. Supervised 6MWTs were performed during clinic visits at scheduled intervals. Weekly at-home 6MWTs were performed via the VascTrac app. The app passively collected activity data such as daily step counts. Logistic regression with forward feature selection was used to assess at-home 6MWT and passive data as predictors for "frailty" as measured by the gold-standard supervised 6MWT. Frailty was defined as walking <300m on an in-clinic 6MWT. RESULTS: Under a supervised in-clinic setting, the smartphone and Apple Watch with the VascTrac app were able to accurately assess 'frailty' with sensitivity of 90% and specificity of 85%. Outside the clinic in an unsupervised setting, the home-based 6MWT is 83% sensitive and 60% specific in assessing "frailty." Passive data collected at home were nearly as accurate at predicting frailty on a clinic-based 6MWT as was a home-based 6MWT, with area under curve (AUC) of 0.643 and 0.704, respectively. CONCLUSIONS: In this longitudinal observational study, passive activity data acquired by an iPhone and Apple Watch were an accurate predictor of in-clinic 6MWT performance. This finding suggests that frailty and functional capacity could be monitored and evaluated remotely in patients with cardiovascular disease, enabling safer and higher resolution monitoring of patients.

Reliability and repeatability of a smartphone-based 6-min walk test as a patient-centred outcome measure.

Aims: The 6-min-walk test (6MWT) is a validated proxy for frailty and a predictor of clinical outcomes, yet is not widely used due to implementation challenges. This comparative effectiveness study assesses the reliability and repeatability of a home-based 6MWT compared to in-clinic 6MWTs in patients with cardiovascular disease. Methods and results: One hundred and ten (110) patients scheduled for cardiac or vascular surgery were enrolled during a study period from June 2018 to December 2019 at the Palo Alto VA Hospital. Subjects were provided with an Apple iPhone 7 and Apple Watch Series 3 loaded with the VascTrac research study application and performed a supervised in-clinic 6MWT during enrolment, at 2 weeks, 1, 3, and 6 months post-operatively. Subjects also received notifications to perform at-home smartphone-based 6MWTs once a week for a duration of 6 months. Test-retest reliability of in-clinic measurements and at-home measurements was assessed with an industry standard Cronbach's alpha reliability test. Test-retest reliability for in-clinic ground truth 6MWT steps vs. in-clinic iPhone 6MWT steps was 0·99, showing high reliability between the two tested measurements. When comparing for in-clinic ground truth 6MWT steps vs. neighbouring at-home iPhone 6MWT steps, reliability was 0·74. Conclusion: Running the test-reliability test on both measurements shows that an iPhone 6MWT test is reliable compared to an in-clinic ground truth measurement in patients with cardiovascular disease.

Telemedicine platforms and their use in the coronavirus disease-19 era to deliver comprehensive vascular care.

Implementation of telemedicine for patient encounters optimizes personal safety and allows for continuity of patient care. Embracing telehealth reduces the use of personal protective equipment and other resources consumed during in-person visits. The use of telehealth has increased to historic levels in response to the coronavirus disease 2019 (COVID-19) pandemic. Telehealth may be a key modality to fight against COVID-19, allowing us to take care of patients, conserve personal protective equipment, and protect health care workers all while minimizing the risk of viral spread. We must not neglect vascular health issues while the coronavirus pandemic continues to flood many hospitals and keep people confined to their homes. Patients are not immune to diseases and illnesses such as stroke, critical limb ischemia, and deep vein thrombosis while being confined to their homes and afraid to visit hospitals. Emerging from the COVID-19 crisis, incorporating telemedicine into routine medical care is transformative. By leveraging digital technology, the authors discuss their experience with the implementation, workflow, coding, and reimbursement issues of telehealth during the COVID-19 era.

Erratum: Author Correction: Clinical validation of smartphone-based activity tracking in peripheral artery disease patients.

[This corrects the article DOI: 10.1038/s41746-018-0073-x.].

National assessment of availability, awareness, and utilization of supervised exercise therapy for peripheral artery disease patients with intermittent claudication.

BACKGROUND: Supervised exercise therapy (SET) is an inexpensive, low-risk, and effective option when compared with invasive therapies for the treatment of patients with peripheral artery disease (PAD) and intermittent claudication. Randomized, controlled trials have demonstrated the benefits of SET in improving maximum walking distance in intermittent claudication patients, and society guidelines recommend SET as first-line therapy. In 2017, the Centers for Medicare & Medicaid Services (CMS) added coverage of SET. We aimed to evaluate the availability and use of SET programs, determine the awareness of SET CMS coverage in the United States, and gauge the academic interest in SET in the vascular community. METHODS: An eight-question online survey regarding SET coverage, reimbursement, barriers to prescription, and SET use was sent to 900 vascular surgeons, cardiologists, and vascular medicine physicians across the United States. The most recent 2-year programs for the Vascular Annual Meeting, Midwestern Vascular Society, Eastern Vascular Society, and Western Vascular Society were reviewed to identify SET-related abstracts and gauge academic interest and awareness for SET within the vascular surgery community. RESULTS: We received 135 physician responses (15%) to the survey. All 50 states were represented. The majority of responders (54%) stated that there was no SET program at their facility, and 5% did not know if there was a SET program available. Of those who did have a SET program available, 81% were associated with cardiac rehabilitation and 19% had a PAD-specific program. A significant number of physicians (49%) had never referred a patient for SET. Twenty-six percent were not aware that CMS covered SET sessions. Of the physicians who were aware of CMS reimbursement, 36% had never referred a patient to a SET program. Of all surveyed, 98% indicated they would refer patients to a SET program if one was available. Top barriers to use of a SET program included (1) no SET center availability and (2) significant cost or travel expense to the patient. A review of major vascular surgery meeting programs for the last 2 years yielded no identification of a SET-related abstract. CONCLUSIONS: There is a lack of both availability and use of SET for patients with PAD with claudication, despite guideline recommendations and CMS reimbursement for SET sessions in the United States. When SET is offered, it is typically through cardiac rehabilitation programs which is not focused on PAD. Travel distance, lack of SET program availability, and low reimbursement rates are primary areas that could be addressed to improve use.

Septic Pulmonary Emboli From Peripheral Suppurative Thrombophlebitis: A Case Report and Literature Review.

BACKGROUND:: We report the case of a 90-year old woman who presented with septic pulmonary emboli due to suppurative thrombophlebitis at an old peripheral intravenous site. METHODS:: After unsuccessful treatment with antibiotics, the patient was taken to the operating room for excision and drainage of the purulent superficial vein. RESULTS:: We review the literature and discuss the presentation, risk factors, treatment options, and complications of this often-overlooked disease entity. CONCLUSIONS:: Suppurative thrombophlebitis is a rare but morbid disease that requires a high level of clinical suspicion to diagnose.

Clinical validation of smartphone-based activity tracking in peripheral artery disease patients.

Peripheral artery disease (PAD) is a vascular disease that leads to reduced blood flow to the limbs, often causing claudication symptoms that impair patients' ability to walk. The distance walked during a 6-min walk test (6MWT) correlates well with patient claudication symptoms, so we developed the VascTrac iPhone app as a platform for monitoring PAD using a digital 6MWT. In this study, we evaluate the accuracy of the built-in iPhone distance and step-counting algorithms during 6MWTs. One hundred and fourteen (114) participants with PAD performed a supervised 6MWT using the VascTrac app while simultaneously wearing an ActiGraph GT9X Activity Monitor. Steps and distance-walked during the 6MWT were manually measured and used to assess the bias in the iPhone CMPedometer algorithms. The iPhone CMPedometer step algorithm underestimated steps with a bias of -7.2% ± 13.8% (mean ± SD) and had a mean percent difference with the Actigraph (Actigraph-iPhone) of 5.7% ± 20.5%. The iPhone CMPedometer distance algorithm overestimated distance with a bias of 43% ± 42% due to overestimation in stride length. Our correction factor improved distance estimation to 8% ± 32%. The Ankle-Brachial Index (ABI) correlated poorly with steps (R = 0.365) and distance (R = 0.413). Thus, in PAD patients, the iPhone's built-in distance algorithm is unable to accurately measure distance, suggesting that custom algorithms are necessary for using iPhones as a platform for monitoring distance walked in PAD patients. Although the iPhone accurately measured steps, more research is necessary to establish step counting as a clinically meaningful metric for PAD.

A Cross-Sectional Study of Prominent US Mobile Health Applications: Evaluating the Current Landscape.

Mobile health (mHealth) could offer unprecedented opportunity to provide medical support closer to the users. We have selected some relevant criteria to describe 100 apps from Google Play store and Apple's App Store's top suggestions in medical category. These characteristics were compared based on the paid or free nature of the apps, the target users: consumers or healthcare professionals, and the platform: Android or iOS. Seventeen provided functionalities and 27 medical subjects covered by these apps were also extracted. Our study shows that even in top rated mHealth apps, a high proportion lacks some basic criteria regarding the quality of the apps including the presence of a privacy policy, describing content sources, participation of the target users in the app development, etc. Paid apps did not ensure better quality compared to free apps. The current mHealth market is not mature enough to be used widely and recommended by healthcare professionals.

Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.

Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in these measurements can accurately track diabetes, cardiovascular issues, and assist medication management for patients. Currently, patients record their results and date of measurement in a physical notebook. It may be weeks before a doctor sees a patient's records and can assess the health of the patient. With a predicted 6.8 billion smartphones in the world by 20221, health monitoring platforms, such as Apple's HealthKit2, can be leveraged to provide the right care at the right time. This research presents a mobile application that enables users to capture medical monitor data and send it to their doctor swiftly. A key contribution of this paper is a robust engine that can recognize digits from medical monitors with an accuracy of 98.2%.

Use of a proactive duplex ultrasound protocol for hemodialysis access.

OBJECTIVE: Arteriovenous fistula (AVF) creation is the preferred approach for hemodialysis access; however, the maturation of AVFs is known to be poor. We established a proactive early duplex ultrasound (DUS) surveillance protocol for evaluating AVFs before attempted access. This study determined the effect of this protocol related to improving AVF maturation. METHODS: From 2008 to 2013, 153 patients received new upper extremity AVFs and an early DUS surveillance protocol at a single academic institution. The protocol involved an early DUS evaluation before hemodialysis cannulation of the AVF at 4 to 8 weeks after AVF creation. A positive DUS result was identified as a peak systolic velocity of >375 cm/s or a >50% stenosis on gray scale imaging, along with decreased velocity in the outflow vein. Patients with positive DUS findings underwent prophylactic endovascular or open intervention to assist with AVF maturation. Nature of secondary interventions, as well as AVF patency and maturation, were assessed. Overall clinical outcomes and fistula patency were investigated. RESULTS: During the study period, 183 upper extremity AVFs were created in 153 patients, including 82 radiocephalic, 63 brachiocephalic, and 38 brachiobasilic AVFs. A mortality rate of 43% (n = 66) was observed in a median follow-up period of 34.5 months (interquartile range, 19.6-46.9). A total of 164 early DUS were performed at a median of 6 weeks (interquartile range, 3.4-9.6 weeks) after the initial creation. Early DUS showed nine AVFs were occluded and were excluded from further analysis. Hemodynamically significant lesions were found in 62 AVFs (40%); however, only 17 (11%) were associated with an abnormal physical examination. Positive DUS finding prompted a secondary intervention in 81% of the patients. Among those with positive early DUS findings, AVF maturation was 70% in those undergoing a secondary intervention compared with 25% in those not undergoing a prophylactic intervention (P = .011). Primary-assisted patency for AVFs with early positive and negative DUS findings were 83% and 96% at 6 months, 64% and 89% at 1 year, and 52% and 82% at 2 years, respectively (P < .001). CONCLUSIONS: Early DUS surveillance of AVFs before initial access is reasonable to identify problematic AVFs that may not be reliably detected on clinical examination. Although DUS criteria for AVFs have yet to be universally accepted, proactive early postoperative DUS interrogation assists in the early detection of dysfunctional AVFs and improvement of fistula maturation. Despite improved patency in those with positive DUS findings who undergo prophylactic secondary intervention, overall patency remains inferior to those without an abnormality detected on early DUS imaging.

Novel Use of Google Glass for Procedural Wireless Vital Sign Monitoring.

Purpose This study investigates the feasibility and potential utility of head-mounted displays for real-time wireless vital sign monitoring during surgical procedures. Methods In this randomized controlled pilot study, surgery residents (n = 14) performed simulated bedside procedures with traditional vital sign monitors and were randomized to addition of vital sign streaming to Google Glass. Time to recognition of preprogrammed vital sign deterioration and frequency of traditional monitor use was recorded. User feedback was collected by electronic survey. Results The experimental group spent 90% less time looking away from the procedural field to view traditional monitors during bronchoscopy (P = .003), and recognized critical desaturation 8.8 seconds earlier; the experimental group spent 71% (P = .01) less time looking away from the procedural field during thoracostomy, and recognized hypotension 10.5 seconds earlier. Trends toward earlier recognition of deterioration did not reach statistical significance. The majority of participants agreed that Google Glass increases situational awareness (64%), is helpful in monitoring vitals (86%), is easy to use (93%), and has potential to improve patient safety (85%). Conclusion In this early feasibility study, use of streaming to Google Glass significantly decreased time looking away from procedural fields and resulted in a nonsignificant trend toward earlier recognition of vital sign deterioration. Vital sign streaming with Google Glass or similar platforms is feasible and may enhance procedural situational awareness.

TElmisartan in the management of abDominal aortic aneurYsm (TEDY): The study protocol for a randomized controlled trial.

BACKGROUND: Experimental studies suggest that angiotensin II plays a central role in the pathogenesis of abdominal aortic aneurysm. This trial aims to evaluate the efficacy of the angiotensin receptor blocker telmisartan in limiting the progression of abdominal aortic aneurysm. METHODS/DESIGN: Telmisartan in the management of abdominal aortic aneurysm (TEDY) is a multicentre, parallel-design, randomised, double-blind, placebo-controlled trial with an intention-to-treat analysis. We aim to randomly assign 300 participants with small abdominal aortic aneurysm to either 40 mg of telmisartan or identical placebo and follow patients over 2 years. The primary endpoint will be abdominal aortic aneurysm growth as measured by 1) maximum infra-renal aortic volume on computed tomographic angiography, 2) maximum orthogonal diameter on computed tomographic angiography, and 3) maximum diameter on ultrasound. Secondary endpoints include change in resting brachial blood pressure, abdominal aortic aneurysm biomarker profile and health-related quality of life. TEDY is an international collaboration conducted from major vascular centres in Australia, the United States and the Netherlands. DISCUSSION: Currently, no medication has been convincingly demonstrated to limit abdominal aortic aneurysm progression. TEDY will examine the potential of a promising treatment strategy for patients with small abdominal aortic aneurysms. TRIAL REGISTRATION: Australian and Leiden study centres: Australian New Zealand Clinical Trials Registry ACTRN12611000931976 , registered on 30 August 2011; Stanford study centre: clinicaltrials.gov NCT01683084 , registered on 5 September 2012.