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Purpose: This scoping review uniquely aims to map the current state of the literature on the applications of wearable sensors in people with or at risk of developing upper extremity musculoskeletal (UE-MSK) conditions, considering that MSK conditions or disorders have the highest rate of prevalence among other types of conditions or disorders that contribute to the need for rehabilitation services.

Materials and methods: The preferred reporting items for systematic reviews and meta-analysis (PRISMA) extension for scoping reviews guideline was followed in this scoping review. Two independent authors conducted a systematic search of four databases, including PubMed, Embase, Scopus, and IEEEXplore. We included studies that have applied wearable sensors on people with or at risk of developing UE-MSK condition published after 2010. We extracted study designs, aims, number of participants, sensor placement locations, sensor types, and number, and outcome(s) of interest from the included studies. The overall findings of our scoping review are presented in tables and diagrams to map an overview of the existing applications.

Results: The final review encompassed 80 studies categorized into clinical population (31 studies), workers’ population (31 studies), and general wearable design/performance studies (18 studies). Most were observational, with 2 RCTs in workers’ studies. Clinical studies focused on UE-MSK conditions like rotator cuff tear and arthritis. Workers’ studies involved industrial workers, surgeons, farmers, and at-risk healthy individuals. Wearable sensors were utilized for objective motion assessment, home-based rehabilitation monitoring, daily activity recording, physical risk characterization, and ergonomic assessments. IMU sensors were prevalent in designs (84%), with a minority including sEMG sensors (16%). Assessment applications dominated (80%), while treatment-focused studies constituted 20%. Home-based applicability was noted in 21% of the studies.

Conclusion: Wearable sensor technologies have been increasingly applied to the health care field. These applications include clinical assessments, home-based treatments of MSK disorders, and monitoring of workers’ population in non-standardized areas such as work environments. Assessment-focused studies predominate over treatment studies. Additionally, wearable sensor designs predominantly use IMU sensors, with a subset of studies incorporating sEMG and other sensor types in wearable platforms to capture muscle activity and inertial data for the assessment or rehabilitation of MSK conditions.

Out-of-hospital cardiac arrest (OHCA) is a major cause of mortality worldwide, with a high incidence and low survival rate. Prompt cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use are major contributors in the “chain of survival” for OHCA. the response of a community plays a key role in determining the outcomes in OHCA. The outcomes of OHCA are affected by health inequalities in bystander CPR and AED use, due to factors such as differences in sex, ethnicity, and socioeconomic status amongst others. Literature shows patients from lower socio-economic backgrounds are more likely to have risk factors for a cardiac arrest and are therefore more likely to have OHCA. Studies have also reported lower rates of bystander AED use in females compared to males. Targeting deprived areas with tailored training and access to AEDs can be beneficial in improving CPR outcomes in communities. Due to the physical nature of CPR maneuvers, age and frailty of the patient can both impact the outcome of the resuscitation. Environmental factors affecting AED use include availability, visibility, accessibility, support, extra equipment, training materials, staffing, and awareness. Education should focus on areas such as conducting BLS on both male and female patients, recognizing cardiac arrest, tailoring BLS to difference ages as well as provision for training in different languages, including sign language. Like some other countries, CPR training is now being implemented in the school curriculum.

Background: Social determinants of health (SDOH) impact health disparities, though little is known about the effects of SDOH on pediatric out-of-hospital cardiac arrest (POHCA).

Methods: This cross-sectional study utilized the NEMSIS Database to obtain nationwide POHCA data from 2021 to 2023. Outcomes included performance of bystander cardiopulmonary resuscitation (CPR), automated external defibrillator (AED) usage, and obtainment of return of spontaneous circulation (ROSC). SDOH data was obtained from the US Census Bureau and included minority race/ethnicities status, poverty levels, and educational attainment of the community where POCHAs occurred. Multivariable logistic regression and Cochran-Armitage trend tests were used to assess associations between SDOH and POHCA outcomes.

Results: Query of the NEMSIS Database yielded 27,137 POHCAs. The odds of CPR performance and obtainment of ROSC were significantly higher (p < 0.001) in communities with lower levels of minority races/ethnicities. The odds of bystander CPR, AED usage, and obtainment of ROSC all increased significantly (p < 0.001) in the wealthiest communities compared to the poorest communities. The odds of bystander AED usage (p = 0.001) and ROSC (p = 0.003) were significantly higher in communities with the highest educational attainment. As the minority status and poverty level of the community increased and educational attainment decreased, there was a significant decreasing trend (p < 0.001) in performance of bystander CPR, AED usage, and obtainment of ROSC.

Conclusions: Community-level SDOH, including increasing community minority status, poverty levels, and decreasing educational attainment, are associated with less bystander CPR, AED usage, and ROSC obtainment in POHCAs. Understanding SDOH offers opportunities for public health interventions addressing disparities in POHCA outcomes.

Objective: They sought to evaluate the impact of a medical directive allowing nurses to use defibrillators in automated external defibrillator-mode (AED) on in-hospital cardiac arrest (IHCA) outcomes.

Methods: They completed a health record review of consecutive IHCA for which resuscitation was attempted using a pragmatic multi-phase before-after cohort design. They reported Utstein outcomes before (Jan.2012-Aug.2013;Control) the implementation of the AED medical directive following usual practice (Sept.2013-Aug.2016;Phase 1), and following the addition of a theory-based educational video (Sept.2016-Dec.2017;Phase 2).

Results: There were 753 IHCA with the following characteristics (Before n = 195; Phase 1n = 372; Phase 2n = 186): mean age 66, 60.0% male, 79.3% witnessed, 29.1% noncardiac-monitored medical ward, 23.9% cardiac cause, and initial ventricular fibrillation/tachycardia (VF/VT) 27.2%. Comparing the Before, Phase 1 and 2: an AED was used 0 time (0.0%), 21 times (5.7%), 15 times (8.1%); mean times to 1st analysis were 7 min, 3 min and 1 min (p < 0.0001); mean times to 1st shock were 12 min, 10 min and 8 min (p = 0.32); return of spontaneous circulation (ROSC) was 63.6%, 59.4% and 58.1% (p = 0.77); survival was 24.6%, 21.0% and 25.8% (p = 0.37). Among IHCA in VF/VT (n = 165), time to 1st analysis and 1st shock decreased by 5 min (p = 0.01) and 6 min (p = 0.23), and ROSC and survival increased by 3.0% (p = 0.80) and 15.6% (p = 0.31). There was no survival benefit overall (1.2%; p = 0.37) or within noncardiac-monitored areas (-7.2%; p = 0.24).

Conclusions: The implementation of a medical directive allowing for AED use by nurses successfully improved key outcomes for IHCA victims, particularly following the theory-based education video and among the VF/VT group.

Background: Automated external defibrillators (AEDs) from community first responder systems (CFR-system) are important to achieve early defibrillation in out-of-hospital cardiac arrest (OHCA). It is unclear how far community first responders (CFR) can travel to fetch and connect an AED to achieve this goal. This study aims to evaluate the relation of the distance between OHCA and the dispatched CFR-system AED and speed of AED-connection.

Methods: Within the Dutch prospective ARREST registry, OHCA patients from 2016 to 2021 with a connected CFR AED were identified. The location of each connected AED was retrieved. Straight-line distances between patient and AED-location were calculated using Google Maps. Time intervals between emergency-call and AED-connection were compared according to straight-line distances and degree of urbanization.

Results: Out of 3231 OHCAs with the CFR-system activated, 2037 (63%) patients had an AED connected before emergency medical services arrival, of which 426 by a CFR. Exact AED-locations were known in 387 OHCA (study population). Overall, the AEDs connected by a CFR where located within 949 m straight-line distance of the OHCA. AEDs connected within 6, 8, or 10 min of the emergency-call, were located within 506 m, 796 m and 838 m straight-line distance, respectively. In 44% of these cases, the CFR connected an AED to which he/she was not referred to, but taken from another address, which significantly impacted the maximal distance covered: 773 m for CFR-system referred AEDs versus 1126 m for not CFR-system referred (p = 0.001).

Conclusion: To facilitate early AED-connection (≤6 min), any address should have a CFR-system AED located within approx. 500 m.

Full article;

Distance between OHCA and AED location within a community first responder system to achieve early AED connection – PubMed

Creating a sustainable community cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) program that reaches underserved communities poses a challenge for the emergency medical services (EMS) community. Attendance, funding, and resources have all been linked to struggles surrounding community CPR/AED programs. Through our experience in conducting CPR/AED trainings in underserved regions of eastern North Carolina, we propose a method of effectively utilizing existing organizations and institutions of learning to expand and maintain a sustainable community CPR/AED program. Furthermore, we demonstrate 10 cornerstones in developing relationships within the community to increase attendance and participation in diverse communities.

Objective: Time is critical with any out of hospital cardiac arrest (OHCA). The possibility of brain cell death increases, and the likelihood of a “good” outcome decreases with time. The most prominent impairments involve memory and attentional difficulties. Limited research and few cases have shown positive cognitive results following an OHCA to the extent that this case study depicts.

Method: The current case study presents a right-handed male in his late 40s, with master’s and law degrees, and a high-level functioning in the workplace who experienced an OHCA. He was treated for his OHCA and subsequently underwent neuropsychological testing less than 2 months following his hospital discharge.

Results: Expected results suggest impairments in key cognitive areas; however, a neuropsychological exam less than 2-months post-incident, testing pre-morbid IQ, overall cognitive ability, processing speed, attention, executive functioning, language, visuospatial abilities, and memory; each showing normal or better results. Additionally, self and collateral report questionnaires examining cognitive and emotional functioning reported no difficulties and no major changes since his cardiac arrest.

Conclusions: We speculate that this patient’s exceptional outcome might be due to his cognitive reserve, and the immediateness of his intervention (5-10 min of CPR and return-of-spontaneous-circulation from an AED shock) and use of a saline cooling procedure upon arrival to the hospital. Overall, we highlight a patient with a remarkable cognitive outcome, utilizing data from neuropsychological testing within 2-months post-incident, and propose protective factors in neuropsychological functioning following an OHCA.

Background: Defibrillation in the critical first minutes of out-of-hospital cardiac arrest (OHCA) can significantly improve survival. However, timely access to automated external defibrillators (AEDs) remains a barrier.

Objectives: The authors estimated the impact of a statewide program for drone-delivered AEDs in North Carolina integrated into emergency medical service and first responder (FR) response for OHCA.

Methods: Using Cardiac Arrest Registry to Enhance Survival registry data, we included 28,292 OHCA patients ≥18 years of age between 1 January 2013 and 31 December 2019 in 48 North Carolina counties. We estimated the improvement in response times (time from 9-1-1 call to AED arrival) achieved by 2 sequential interventions: 1) AEDs for all FRs; and 2) optimized placement of drones to maximize 5-minute AED arrival within each county. Interventions were evaluated with logistic regression models to estimate changes in initial shockable rhythm and survival.

Results: Historical county-level median response times were 8.0 minutes (IQR: 7.0-9.0 minutes) with 16.5% of OHCAs having AED arrival times of <5 minutes (IQR: 11.2%-24.3%). Providing all FRs with AEDs improved median response to 7.0 minutes (IQR: 6.2-7.8 minutes) and increased OHCAs with <5-minute AED arrival to 22.3% (IQR: 16.4%-30.9%). Further incorporating optimized drone networks (326 drones across all 48 counties) improved median response to 4.8 minutes (IQR: 4.3-5.2 minutes) and OHCAs with <5-minute AED arrival to 56.3% (IQR: 46.9%-64.2%). Survival rates were estimated to increase by 34% for witnessed OHCAs with estimated drone arrival <5 minutes and ahead of FR and emergency medical service.

Conclusions: Deployment of AEDs by FRs and optimized drone delivery can improve AED arrival times which may lead to improved clinical outcomes. Implementation studies are needed.

Introduction: This study is a retrospective review of patients who sustained out-of-hospital cardiac arrest due to ventricular fibrillation. The data were analyzed to decipher predictors of good outcomes as the overall survival rate in the county is significantly higher than the national average.

Methods: The inclusion criteria for the study comprised all patients over the age of 18 for whom a call was made for unresponsiveness. Data for this project included all cardiac arrests due to ventricular fibrillation in the calendar year 2022. Results: A total of 80 patients sustained cardiac arrest due to ventricular fibrillation. The age range was 27-80 years old. The study has 71% White, 19% African American, 8.7% Hispanic, and 1% other populations. Ninety-five percent received epinephrine, 89% utilized an advanced airway, 60% underwent hypothermia protocol, 24% utilized an AED device, and 14% used a mechanical CPR device. Seventy-six percent were pronounced dead in the ER or the hospital, and 19% survived to discharge. In the survivor population, CPR was initiated in 13 minutes or less and defibrillation occurred in 23 minutes or less. While none of the variables achieved statistical significance, epinephrine use showed a trend toward statistical significance for the outcome of sustained return of spontaneous circulation (ROSC) with a p-value of 0.05346.

Conclusion: Nineteen percent of patients survived out-of-hospital cardiac arrests in the Polk County hospital system. This is significantly higher than the national average. This likely reflects the emphasis on high-quality CPR and active on-scene management, as no individual variable was statistically significant.

Full article;

Out-of-Hospital Cardiac Arrest Outcomes After Ventricular Fibrillation – PubMed

 

Aim: This study aimed to investigate trends over time in pre-hospital factors for pediatric out-of-hospital cardiac arrest (pOHCA) and long-term neurological and neuropsychological outcomes. These have not been described before in large populations.

Methods: Non-traumatic arrest patients, 1 day-17 years old, presented to the Sophia Children’s Hospital from January 2002 to December 2020, were eligible for inclusion. Favorable neurological outcome was defined as Pediatric Cerebral Performance Categories (PCPC) 1-2 or no difference with pre-arrest baseline. The trend over time was tested with multivariable logistic and linear regression models with year of event as independent variable.

Findings: Over a nineteen-year study period, the annual rate of long-term favorable neurological outcome, assessed at a median 2.5 years follow-up, increased significantly (OR 1.10, 95%-CI 1.03-1.19), adjusted for confounders. Concurrently, annual automated external defibrillator (AED) use and, among adolescents, initial shockable rhythm increased significantly (OR 1.21, 95% CI 1.10-1.33 and OR 1.15, 95% CI 1.02-1.29, respectively), adjusted for confounders. For generalizability purposes, only the total intelligence quotient (IQ) was considered for trend analysis of all tested domains. Total IQ scores and bystander basic life support (BLS) rate did not change significantly over time.

Interpretation: Long-term favorable neurological outcome, assessed at a median 2.5 years follow-up, improved significantly over the study period. Total IQ scores did not significantly change over time. Furthermore, AED use (OR 1.21, 95%CI 1.10-1.33) and shockable rhythms among adolescents (OR1.15, 95%CI 1.02-1.29) increased over time.

Full article;

Trends in community response and long-term outcomes from pediatric cardiac arrest: A retrospective observational study – PubMed