28 Clinical Trials for Various Conditions
The primary aim of this study is to use the Orpyx® SI Sensory Insole System (Orpyx Medical Technologies Inc., Calgary AB, Canada) ("Orpyx" or "the Company") as an adjunct to diabetic peripheral neuropathy standard of care (SOC), and observe step count, pressure, temperature, and adherence data through remote patient monitoring (RPM). This will provide insights into patient engagement and the benefits of offering remote, preventative care.
The escalation of care for patients in a hospitalized setting between nurse practitioner managed services, teaching services, step-down units, and intensive care units is critical for appropriate care for any patient. Often such "triggers" for escalation are initiated based on the nursing evaluation of the patient, followed by physician history and physical exam, then augmented based on laboratory values. These "triggers" can enhance the care of patients without increasing the workload of responder teams. One of the goals in hospital medicine is the earlier identification of patients that require an escalation of care. The study team developed a model through a retrospective analysis of the historical data from the Mount Sinai Data Warehouse (MSDW), which can provide machine learning based triggers for escalation of care (Approved by: IRB-18-00581). This model is called "Medical Early Warning Score ++" (MEWS ++). This IRB seeks to prospectively validate the developed model through a pragmatic clinical trial of using these alerts to trigger an evaluation for appropriateness of escalation of care on two general inpatients wards, one medical and one surgical. These alerts will not change the standard of care. They will simply suggest to the care team that the patient should be further evaluated without specifying a subsequent specific course of action. In other words, these alerts in themselves does not designate any change to the care provider's clinical standard of care. The study team estimates that this study would require the evaluation of \~ 18380 bed movements and approximately 30 months to complete, based on the rate of escalation of care and rate of bed movements in the selected units.
The goal of the PREEMPT-HF study is to collect device and clinical event data to evaluate extended applications of the HeartLogic Heart Failure Diagnostic (HeartLogic) in a broad spectrum of heart failure patients with an implantable cardioverter defibrillator or cardiac resynchronization therapy defibrillator. There are no primary safety and/or efficacy endpoints for this study. Heart failure is a complex clinical syndrome with high morbidity, mortality, and economic burden. Chronic Heart Failure is persistent, gradually progressive, and punctuated by episodes of acute worsening leading to hospitalizations. Therefore, there remains an unmet clinical need to slow the progression of Heart Failure and prevent hospitalizations. HeartLogic, available in Boston Scientific cardiac resynchronization therapy devices and defibrillators, combines novel sensor parameters such as heart sounds and respiration with other measurements like thoracic impedance, heart rate, and activity into a HeartLogic Index for the early detection of worsening Heart Failure. However, there is limited data on the association of HeartLogic with the risk of Hear Failure readmissions and tachyarrhythmias, or for phenotyping the broad spectrum of Heart Failure patients.
The primary objective of the study is to examine the effectiveness of the Zephyr BioPatch in measuring position changes of a non-patient subject in a lab setting and to examine the effectiveness of the Zephyr BioPatch in measuring position changes of hospitalized patients.
BOOST3 is a randomized clinical trial to determine the comparative effectiveness of two strategies for monitoring and treating patients with traumatic brain injury (TBI) in the intensive care unit (ICU). The study will determine the safety and efficacy of a strategy guided by treatment goals based on both intracranial pressure (ICP) and brain tissue oxygen (PbtO2) as compared to a strategy guided by treatment goals based on ICP monitoring alone. Both of these alternative strategies are used in standard care. It is unknown if one is more effective than the other. In both strategies the monitoring and goals help doctors adjust treatments including the kinds and doses of medications and the amount of intravenous fluids given, ventilator (breathing machine) settings, need for blood transfusions, and other medical care. The results of this study will help doctors discover if one of these methods is more safe and effective.
The aim of this study is to improve the detection of heart attack in people who come to a hospital emergency room (ER) with cardiac symptoms. We are testing a novel technology that calculates the heart's electrical activity at points all around the upper body torso and develops a map showing areas indicating heart attack. Our hypothesis is that this new body mapping technique will be better than the standard electrocardiogram (ECG) in detecting heart attack.
The aim of the initial proposal was to evaluate, in the context of optimal medical management, the impact of a bedside system of cerebral perfusion pressure (CPP) information feedback on nursing moment-to-moment management of CPP, and the relationship of that management to patient functional outcome at discharge, 3 and 6 months. The primary hypothesis being tested is that Glasgow Outcome Score (GOS) 6 months post acute care discharge will be significantly better in those monitored with the continuous CPP display. In the second phase of the study the adult study will be extended to children to determine if there is a critical threshold for CPP in children following brain injury based on their outcome at 3, 6, and 12 months. The primary outcome measure is the GOS at 12 months post-injury. The GOS, Behavior Rating Inventory of Executive Function, and PedsQOL will also be assessed at 3, 6, \& 12 months, and the Adaptive Behavior Assessment System at 3 and 6 months post-injury. In addition, the researchers will examine variability and complexity of physiologic measures, such as blood pressure, recorded during the intensive care unit stay of adults and children enrolled in the study. The researchers will study the association of these measures with risk for secondary brain injury and ability to predict differences in outcome. The researchers will also assess the value individuals place on varying outcomes following brain injury.
This pre/post study was a retrospective analysis of unplanned hospitalization rates in a cohort of COPD subjects started on remote physiologic monitoring (RPM) at a large, outpatient pulmonary practice. The study included all subjects with high healthcare utilization (≥1 hospitalization or emergency room visit in the prior year) who had elected to enroll in an RPM service for assistance with clinical management. Additional inclusion criteria included being on RPM for at least 12 months and a patient of the practice for at least two years (12 months pre- and post-initiation of RPM).
A reliable method for monitoring stress and burnout among medical students is critically needed. To address this gap, our team aims to utilize the cost-effective WHOOP strap 4.0 wearable device to continuously capture stress-relevant physiologic data (i.e., sleep hours, heart rate variability, respiration rate, resting heart rate) among up to 50 third-year medical students at 24 Sidney Kimmel Medical College at Thomas Jefferson University for 6 months.
A single site, cross-sectional, feasibility study will be used to evaluate the feasibility of the collection of physiologic data related to the use of the Vitls Platform in the pediatric (\< 2 year of age) congenital heart and general surgery populations in the hospital setting that is using 24 hour a day monitoring for routine care over a 48-hour period. A short questionnaire will be sent electronically for the parent-child dyad feedback after the participating child has worn the device. No data will be available at the time of placement for the Healthcare team and will not replace any routine/standard of care monitoring already in place for this complex population.
Inflammatory bowel disease (IBD) has become a more prominent disease in the US population, with more than 3 million adults in the US affected. To manage this disease effectively, physicians tend to need to have a multidisciplinary approach as there are many psychosocial implications of chronic gastrointestinal illnesses like Crohn's and Ulcerative Colitis. Recent literature has supported the desire for telemedicine and remote physiologic monitoring for such patients to allow the patient to be more active in their treatments and make physicians more aware of what their bodies are doing from a physiologic perspective. Whoop is a new device founded in 2011 that has grown in popularity for its ability to accurately measure sleep patterns, resting heart rate, and heart rate variability (HRV) amongst other various physiologic measurements. Newer literature supports that depressed heart rate variability can correlate to disease flares such as heart failure exacerbations. The study investigators proposed that using remote physiologic monitoring in the IBD population along with their symptoms can help predict disease severity and potentially lead to earlier interventions if correlations are accurate. It can also spark interest in the younger generation for remote physiologic monitoring and telemedicine, which is believed to be beneficial in patients with chronic illnesses.
Resident wellness and physician burnout are under the spotlight more and more as data begins to show that there is a point of diminishing return on the number of hours in training. In 2003, resident work hours were restricted to less than 80 hours per week averaged over 4 weeks. This change was implemented in response to the robust body of evidence that increased work hours leads to decreased sleep, which in turn leads to medical errors and depression. These factors directly and indirectly lead to worse outcomes for patients. In residency, it is difficult objectively to assess when residents are beginning to experience burnout and depression. The investigators propose a study to determine whether tracking of certain heart rate parameters (resting heart rate and heart rate variability) as well as sleep can correlate to subjective assessment of resident wellness, burnout and depression. The investigators will also compare these measures to biomarkers of stress, such as salivary cortisol. The results of this study may lead to improved understanding of what truly causes burnout and may be an eventual target for intervention to help improve short- and long-term outcomes for resident physicians as well as their patients.
Primary: to identify physiologic indicators of venlafaxine treatment response using quantitative EEG (QEEG) cordance, and to determine if cordance changes are specifically associated with response to venlafaxine; Secondary: to determine if cordance changes early in the course (i.e., prior to improvement in clinical symptoms) of venlafaxine (or another antidepressant if venlafaxine is not clinically indicated for a particular patient) are predictive of later clinical response.
Study Objectives: * to identify neurophysiologic effects of venlafaxine treatment in normal controls using quantitative EEG (QEEG) cordance * to examine the effects of venlafaxine on different rating scales measuring mood and anxiety (e.g., Ham-D, BDI, SCL-90, POMS-BI, Visual Analog Mood Scale, SSRS, SASS, Q-LES-Q and SF-36) as well as on measures of cognitive and psychosocial function (i.e., Stroop, PASAT, RAVLT, Trailmaking A and B, Digit-Symbol, Grooved Pegboard, Multidimensional Health Locus of Control, Temperament and Character Inventory, Interpersonal Support Evaluation List, Godin Leisure-Time Questionnaire, and Pittsburgh Sleep Quality Index) in normal control subjects, and the association of changes in cordance with changes in thinking and memory. * to identify physiologic effects of venlafaxine treatment in normal controls using heart rate and immune function measures
The purpose of this research is to validate the prototype AI-Flex device. Researchers at Mayo Clinic developed a new a flexible multi-modal bio-sensing device, AI-Flex, with integrated artificial intelligence (AI) capability. Integration of sensing and AI analysis on the same device removes the need for data storage on the cloud for later analysis. The goal of the device is to allow real-time monitoring of patient health and timely intervention based on patient health condition. It is hoped that the proposed flexible device will allow intimate skin contact using ultra-thin (\<10 µm) geometry to reduce or eliminate relative movement between the skin and flexible epidermal sensors even during rapid motion of the subject, which would significantly improve the sensor signal quality for AI analysis.
This study will evaluate the performance of the Zephyr BioPatch in measuring heart rate, respiration rate, posture, and activity level compared to reference devices in healthy adult subjects during a variety of situations including hospital room movements, talking, and a short bout of exercise.
Alarm fatigue, a lack of response to an alarm due to desensitization, is a national problem. The problem of alarm desensitization is multifaceted and is related to a high false alarm rate, poor positive predictive value, lack of alarm standardization and the large number of medical devices with built in alarms in use today. Cardiac monitor alarms are intended to notify the healthcare practitioner that a clinical crisis is imminent. However, hundreds of physiologic monitor alarms occur on monitored units each day. As a result, practitioners are highly vulnerable to alarm fatigue which has resulted in serious harm to patients and death due to staff inattention from alarm signal desensitization. Research indicates that 80-99.4% of monitor alarms are false or clinically insignificant. Alarm hazards is the number one medical device technology hazard of 2012 and has been listed by ECRI (Emergency Care Research Institute) among the top 3 medical device hazards for the past three years (ECRI, 2011). Delivering actionable alarm information to care providers is challenging given the significant number of false alarms. Ideally, alarms should activate for events in greatest need of clinical attention without increasing the risk of adverse patient outcomes. This is not the case with current monitoring technology which is designed for high sensitivity and low specificity. Practitioners must use clinical intuition for determining how conservatively alarms should be set to be most useful. There is no research evidence to support how best to set alarms without affecting patient outcomes. Quality improvement studies performed at The Johns Hopkins Hospital have demonstrated that the frequency of alarm signals can be reduced by more than 50% through an altered set of alarm parameters. This reduction in alarm signals has lead to an increase awareness of alarms that do occur as well as create a quieter, healing environment for patients. Although this change was not associated with a "noticeable" increase in adverse patient events, this important outcome was not rigorously studied. The specific aims of this pilot study is to determine if decreasing the number of alarms by using an altered set of alarm parameters has an effect on patient outcomes in an intensive care unit. This project may have a significant impact on patient safety. A decrease in noise at the bedside may result in less distraction to caregivers and may have a positive effect on patient recovery. It is expected that the altered set of monitor default parameters will result in a decrease in audible alarms without increasing clinically significant adverse patient events.
The purpose of this study is to obtain observational data allowing for the preliminary assessment of the utility of a noninvasive physiologic monitor for monitoring of patients with congestive heart failure.
An observation study evaluating physiologic responses and host biomarker expression patterns in early SARS-CoV-2 and acute respiratory infections (ARI) and among their close contacts.
The aim of this research is to build systems that can recognize when people are stressed and then provide them with relaxation prompts in the moment to reduce their likelihood of being stressed, smoking, or overeating in the near future. Using these systems should help smokers be more effective in their attempts to quit by reducing their tendency to lapse when they are stressed or experiencing other negative moods or behaviors.
To demonstrate the safety and effectiveness of the EpiWatch device in identifying tonic-clonic (TC) seizures, notifying a third-party of TC seizure occurrence, and collecting non-EEG physiological data for subsequent review during patient hospitalization in an epilepsy monitoring unit (EMU).
The Accuryn Registry Study is an open-ended, global, multi-center, retrospective and prospective, single-arm data collection study with an FDA cleared device. The target population are cardiovascular surgery patients. Physiologic data measurements will be collected from enrolled subjects using electronic medical records and data streams via the Accuryn Monitoring System.
The Accuryn Registry Study is an open-ended, global, multi-center, retrospective and prospective, single-arm data collection study with an FDA cleared device. The target population are cardiovascular surgery patients. Physiologic data measurements will be collected from enrolled subjects using electronic medical records and data streams via the Accuryn Monitoring System.
The purpose of this study is to validate cardiac output and stroke volume derived from Vitalstream against Gold Standard measurements obtained using thermodilution. The Vitalstream device is a continuous noninvasive physiological monitor (Caretaker Medical LLC, Charlottesville, Virginia, further referred to as "CTM") provides heart rate, continuous noninvasive blood pressure (BP), respiratory rate, stroke volume and cardiac output.
The study is a prospective, non-randomized, non-blinded, non-significant risk, multi-center study enrolling up to 500 healthy adult subjects consented to undergo a whole blood donation procedure. The study will involve enrolling subjects that will undergo blood donation wearing the study device (CM-1600 Device) and capture study-required physiological parameters pre-, during, and post-donation.
To improve the management of symptoms, patients with cancer undergoing chemotherapy will be monitored using an automated telephone system to record the severity of 15 prevalent symptoms for up to 8 consecutive weeks. Outcomes include; significant reduction in symptom severity and improvement in health states.
A mixed-methods study will be used to evaluate the use of standard of care periodic pulse oximetry by parents/LAR and the feasibility of the collection of physiologic data related to the use of the Pediarity System. This system includes the Gabi Band and software platform (Gabi Analytics).
Integrated pulmonary index (IPI) is a tool that monitors respiratory status. It takes into account four parameters: respiratory rate, end-tidal CO2, heart rate and O2 saturation using a pulse oximeter and specialized sidestream CO2 monitor. The device can continuously monitor and display the patient's ventilatory state as a single digit, 1-10. In addition, trends can be kept and it can provide early indication of changes in respiratory status. IPI has only been studied in pediatric patients who are under sedation; however, more uses for the monitoring tool are a possibility. One of those possibilities is to use IPI to monitor pediatric patients during the weaning and extubation process to determine if a specific number, or less than a specific number, is associated with extubation failure. Therefore, clinicians and physicians would be better able to determine if the patient is ready for extubation.