Category: News

Background: Out-of-hospital cardiac arrest (OHCA) is a significant global public health issue, few studies describe characteristics and trends in China. This study examines OHCA features and trends in Shenzhen, one of the fastest-growing cities.

Methods: This retrospective study analysed data from the Shenzhen Emergency Center database (2011-2018), including ambulance dispatch and pre-hospital medical records. Descriptive statistics and temporal trends were used to examine the incidence, patients characteristics, pre-hospital treatment, and outcome.

Results: Among 18,772 medical cause OHCA cases, the crude incidence rate was 17.4 per 100,000 population, with an age-standardised rate of 38.4. Incidence increased over time. Resuscitation was attempted in 43.8% of cases, with a median patient age of 56 years and 73.5% being male. Most arrest (69.0%) occurred at home, and 82% were presumed to be cardiac cause.The median response time was 11.2 min. Bystander cardiopulmonary resuscitation (CPR) rates increased from 4.6% in 2011 to 14.5% in 2018, while bystander automated external defibrillator (AED) use remained low (0.2%). Pre-hospital electrocardiogram (ECG) recording improved from 40.6% to 91.9%, with shockable rhythms 2.2%. Intravenous access was established in 69.7% of patients, 51.9% received epinephrine, 19.29% received pre-hospital defibrillation, and 16.4% underwent advanced airway management. The pre-hospital Return of Spontaneous Circulation (ROSC) rate increased from 2.7% to 5.8%, with a total ROSC rate of 3.11%.

Conclusions: OHCA incidence in Shenzhen is lower than both domestic and international levels but increasing. Low bystander intervention rated and prolonged response times contribute to poor outcome, underscoring the need for system improvements.

Out-of-hospital cardiac arrest (OHCA) is a global public health problem, with survival rates remaining low at around 10% or less despite widespread cardiopulmonary resuscitation (CPR) training and availability of automated external defibrillators (AEDs). This is partly due to the challenges of knowing when and where a sudden OHCA occurs and where the nearest AED is located. In response, countries around the world have begun to use network technology-based smartphone applications. These applications are activated by emergency medical service dispatchers and alert preregistered volunteer first responders (VFRs) to nearby OHCAs using Global Positioning System localization. Accumulating evidence, although mostly from observational studies, shows their effectiveness in increasing the rate of bystander CPR, defibrillation, and patient survival. Current guidelines recommend the use of these VFR alerting systems, and the results of ongoing randomized trials are awaited for further dissemination. This article also proposed the concept of a life-saving mobile network (LMN), which uses opportunistic network and wireless sensor network technologies to create a dynamic mesh network of potential victims, rescuers, and defibrillators. The LMN works by detecting a fatal arrhythmia with a wearable sensor device, localizing the victim and the nearest AED with nearby smartphones, and notifying VFRs through peer-to-peer communication. While there are challenges and limitations to implementing the LMN in society, this innovative network technology would reduce the tragedy of sudden cardiac death from OHCA.

Background: Paediatric out-of-hospital cardiac arrest (POHCA) is associated with poor survival and severe neurological sequelae. We conducted a systematic review on the impact of sociodemographic factors across different stages of POHCA.

Methods: They searched MEDLINE, EMBASE, and Web of Science from database inception to October 2022. They included studies examining the association between sociodemographic factors (i.e., race, ethnicity, migrant status and socioeconomic status [SES]) and POHCA risk, bystander cardiopulmonary resuscitation (CPR) provision, bystander automated external defibrillator (AED) application, survival (at or 30-days post-discharge), and neurological outcome. They synthesized the data qualitatively.

Results: They screened 11,097 citations and included 18 articles (arising from 15 studies). There were 4 articles reporting on POHCA risk, 5 on bystander CPR provision, 3 on bystander AED application, 13 on survival, and 6 on neurological outcome. In all studies on POHCA risk, significant differences were found across racial groups, with minority populations being disproportionately impacted. There were no articles reporting on the association between SES and POHCA risk. Bystander CPR provision was consistently associated with race and ethnicity, with disparities impacting Black and Hispanic children. The association between bystander CPR provision and SES was variable. There was little evidence of socioeconomic or racial disparities in studies on bystander AED application, survival, and neurological outcome, particularly across adjusted analyses.

Conclusions: Race and ethnicity are likely associated with POHCA risk and bystander CPR provision. These findings highlight the importance of prioritizing at-risk groups in POHCA prevention and intervention efforts. Further research is needed to understand underlying mechanisms.

The human body is an intelligent system, continuously generating signals that correlate with specific vital activities and indicate the state of our health and fitness. Therefore, accurate and real-time tracking of these signals is important for monitoring our health and timely medical interventions. The quantification of these signals in real-time is made possible by using skin wearable devices that detect disease-related biomarkers in bodily fluids, such as sweat and interstitial fluid. Integrating nanomaterials, particularly graphene, into wearable devices has dramatically enhanced the performance of wearable biosensors. The exemplary electrical properties, mechanical flexibility, and biocompatibility of graphene have made it a revolutionary material to shape the future of wearable devices. Graphene is versatile because its surface chemistry can be easily tuned to accommodate different biorecognition elements. This review provides an overview of flexible wearable biosensing devices, their sampling methods, and how microfluidic approaches enhance their performance. The paper also discusses the different strategies for the synthesis of graphene nanostructures, their integration into wearable systems, and their ability to improve sensing performance. Various surface chemistry modification techniques are also explored for the enhancement of the immobilization of biomolecules. Finally, the paper discusses the challenges of graphene-based wearable technologies and their roles in continuous health monitoring and personalized medicine.

Wearable biosensors are revolutionizing the landscape of modern healthcare by enabling continuous, non-invasive monitoring and real-time diagnostics across a myriad of medical applications. This chapter provides a comprehensive overview of wearable biosensors, beginning with an exploration of their fundamental components, including biological elements, transducers, and electronic interfaces. It categorizes these devices based on the types of biological matrices they utilize, such as tears and saliva, and the nanomaterials and transduction mechanisms that underpin their functionality. Highlighting state-of-the-art advancements, the chapter delves into specific applications in ophthalmology and oral health, showcasing innovative tear-based sensors for monitoring intraocular pressure and glucose levels, as well as saliva-based devices for detecting oral diseases and systemic biomarkers. Through detailed examples, such as multifunctional contact lenses and smart mouthguards, the chapter illustrates the potential of these technologies to transform disease detection, health monitoring, and personalized treatment strategies. Additionally, it addresses the current challenges in wearable biosensor development, including issues of sensor accuracy, durability, and user comfort, while outlining future directions for research and integration into everyday healthcare practices. This chapter aims to provide readers with a thorough understanding of wearable biosensors’ current state, innovations, and future potential in enhancing health and wellness monitoring.

The use of wearable sensors for the collection of lower extremity biomechanical data is increasing in popularity, in part due to the ease of collecting data and the ability to capture movement outside of traditional biomechanics laboratories. Consequently, an increasing number of researchers are facing the challenges that come with utilizing the data captured by wearable sensors. These challenges include identifying/calculating meaningful measures from unfamiliar data types (measures of acceleration and angular velocity instead of positions and joint angles), defining sensor-to-segment alignments for calculating traditional biomechanics metrics, using reduced sensor sets and machine learning to predict unmeasured signals, making decisions about when and how to make algorithms freely available, and developing or replicating methods to perform basic processing tasks such as recognizing activities of interest or identifying gait events. In this perspective article, we present our own approaches to common challenges in lower extremity biomechanics research using wearable sensors and share our perspectives on approaching several of these challenges. We present these perspectives with examples that come mostly from gait research, but many of the concepts also apply to other contexts where researchers may use wearable sensors. Our goal is to introduce common challenges to new users of wearable sensors, and to promote dialogue amongst experienced users towards best practices.

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.