Detection Of Early Changes Research Articles

The added value of advanced echocardiography in dilated cardiomyopathy: looking at the right heart

Abstract Introduction and aims Right ventricular (RV) dilation and dysfunction significantly impact the prognosis of dilated cardiomyopathy (DCM) patients, and early detection of subclinical changes is mandatory. Furthermore, right atrial (RA) size and function are still often neglected in DCM patients. Accordingly, our aims were to evaluate (i) right heart chambers and tricuspid annulus (TA) subclinical remodeling, and (ii) the prognostic value of RA compared to left atrial (LA) size and function in patients with DCM without clinical RV involvement, RV pressure/volume overload or sustained atrial tachyarrhythmias by advanced echocardiography techniques. Materials and methods Sixty-eight patients out of a cohort of 106 patients with DCM (mean age 60 years, 35 men) were evaluated by comprehensive transthoracic two- (2DE) and three-dimensional (3DE) and speckle-tracking (2DSTE) echocardiography, were compared to 62 age- and sex-matched healthy controls (mean age 61 years, 32 men), and were followed-up for 37 ± 16.6 months. Results DCM patients have RV and RA global longitudinal dysfunction by 2DSTE, and higher RA minimum volumes (Vmin) and TA areas despite having normal RV volumes and ejection fraction (EF) and RA maximum volumes (Vmax) by 3DE compared to controls (Table). RA and RV strain correlate with each other (r=0.360, p=0.013 for RA reservoir and r=0.347, p=0.017 for conduit strain). TA area correlates with RA contractile strain (r=-.293, p=0.046) and RV free-wall strain (r=0.373, p=0.008), RA Vmax (r=0.513, p<0.001), RV (r=0.404, p=0.004 for end-diastolic and r=0.444, p=0.001 for end-systolic) and left ventricular (LV) volumes (r=0.394, p=0.016) and LV EF (r=-.361, p=0.028). RA reservoir strain (AUC=0.769) has higher value for outcome prediction compared to LA strain (p=0.02 between them). Conclusion Patients with DCM have RV longitudinal dysfunction and decreased RA function, in the absence of clinical RV involvement or atrial arrhythmias, and decreased RA strain is associated with an increased risk of hospitalization and cardiac death.Comparison of right heart parametersPrognostic value of atrial function

Intra-operative neuromonitoring in paediatric spinal deformity surgery: a retrospective single-centre experience.

Intra-operative neuromonitoring including somatosensory evoked potentials, motor evoked potentials, and electromyography, have replaced the Stagnara wake-up test to allow early detection of neurological change during paediatric spinal deformity surgery. It is important for surgeons to recognize alerts triggered by loss of these potentials and act accordingly to prevent iatrogenic neurological damage intra-operatively. This study was conducted to determine the sensitivity and specificity of neuromonitoring alerts in paediatric spinal deformity correction surgery. A retrospective single-centre study of all patients undergoing spinal deformity surgery at a tertiary paediatric centre between 1 January 2017 and 31 December 2020 (inclusive) was conducted. Neuromonitoring alerts were identified through neurophysiology documentation, and these were correlated with neurological deficits documented in the patient record post-operatively. A total of 399 operations were included in the study, with 147 (35.7%) of these having a motor, or motor and sensory alert triggered. Fifteen (10.2% of alerts) of these patients had a post-operative neurological deficit, compared to seven (2.8% of no alerts) of those that had no neuromonitoring alert. The sensitivity for post-operative neurological deficits not resolving within 3 days was 100%, and the specificity was 65.5%. Intra-operative neuromonitoring is highly sensitive to post-operative neurological deficits lasting longer than 3 days. However, there is still scope for optimization of specificity, with many false positives identified.

Deconvolution of Human Urine across the Transcriptome and Metabolome.

Early detection of the cell type changes underlying several genitourinary tract diseases largely remains an unmet clinical need, where existing assays, if available, lack the cellular resolution afforded by an invasive biopsy. While messenger RNA in urine could reflect the dynamic signal that facilitates early detection, current measurements primarily detect single genes and thus do not reflect the entire transcriptome and the underlying contributions of cell type-specific RNA. We isolated and sequenced the cell-free RNA (cfRNA) and sediment RNA from human urine samples (n = 6 healthy controls and n = 12 kidney stone patients) and measured the urine metabolome. We analyzed the resulting urine transcriptomes by deconvolving the noninvasively measurable cell type contributions and comparing to plasma cfRNA and the measured urine metabolome. Urine transcriptome cell type deconvolution primarily yielded relative fractional contributions from genitourinary tract cell types in addition to cell types from high-turnover solid tissues beyond the genitourinary tract. Comparison to plasma cfRNA yielded enrichment of metabolic pathways and a distinct cell type spectrum. Integration of urine transcriptomic and metabolomic measurements yielded enrichment for metabolic pathways involved in amino acid metabolism and overlapped with metabolic subsystems associated with proximal tubule function. Noninvasive whole transcriptome measurements of human urine cfRNA and sediment RNA reflects signal from hard-to-biopsy tissues exhibiting low representation in blood plasma cfRNA liquid biopsy at cell type resolution and are enriched in signal from metabolic pathways measurable in the urine metabolome.

Longitudinal study on peak expiratory flow monitoring and its impact on quality of life in childhood asthma

Objective To evaluate the impact of peak expiratory flow (PEF) monitoring using a smart peak flow (SPF) device on the quality of life (QoL) and satisfaction among children with asthma. Methods This 3-month prospective cohort study enrolled 71 children aged 7 to 17 years with physician-diagnosed asthma. Participants used the SPF device twice daily, with measurements recorded automatically. Quality of life was assessed using the Pediatric Asthma Quality of Life Questionnaire (PAQLQ), and asthma control was assessed using the Asthma Control Test (ACT) or Childhood Asthma Control Test (C-ACT). Adherence to PEF measurements and satisfaction with the device were evaluated. Results Seventy-one children (mean age 11.4 years) completed the study. Adherence to twice-daily PEF measurements decreased significantly over three months (from 50.0% at 1 month to 39.9% at 3 months, p < 0.001). Children with good adherence (38.0%) showed significant improvements in PAQLQ scores, while those with poor adherence (62.0%) did not. COVID-19 infection resulted in a significant decrease in %PEF rate and increased peak flow variability. Despite device-related issues, overall satisfaction was high (85.19% for good adherence users vs. 88.64% for poor adherence users, p = 0.671). Conclusion Regular PEF monitoring improves QoL in children with asthma by enabling early detection of symptom changes and better management. However, maintaining adherence to regular PEF monitoring is challenging. Further research with control groups is needed to validate these findings.

Non-invasive regional parameter identification of degenerated human meniscus

Accurate identification of local changes in the biomechanical properties of the normal and degenerative meniscus is critical to better understand knee joint osteoarthritis onset and progression. Ex-vivo material characterization is typically performed on specimens obtained from different locations, compromising the tissue's structural integrity and thus altering its mechanical behavior. Therefore, the aim of this in-silico study was to establish a non-invasive method to determine the region-specific material properties of the degenerated human meniscus. In a previous experimental magnetic resonance imaging (MRI) study, the spatial displacement of the meniscus and its root attachments in mildly degenerated (n = 12) and severely degenerated (n = 12) cadaveric knee joints was determined under controlled subject-specific axial joint loading. To simulate the experimental response of the lateral and medial menisci, individual finite element models were created utilizing a transverse isotropic hyper-poroelastic constitutive material formulation. The superficial displacements were applied to the individual models to calculate the femoral reaction force in an inverse finite element analysis. During particle swarm optimization, the four most sensitive material parameters were varied to minimize the error between the femoral reaction force and the force applied in the MRI loading experiment. Individual global and regional parameter sets were identified. In addition to in-depth model verification, prediction errors were determined to quantify the reliability of the identified parameter sets. Both compressibility of the solid meniscus matrix (+141 %, p ≤ 0.04) and hydraulic permeability (+53 %, p ≤ 0.04) were significantly increased in the menisci of severely degenerated knees compared to mildly degenerated knees, irrespective of the meniscus region. By contrast, tensile and shear properties were unaffected by progressive knee joint degeneration. Overall, the optimization procedure resulted in reliable and robust parameter sets, as evidenced by mean prediction errors of <1 %. In conclusion, the proposed approach demonstrated high potential for application in clinical practice, where it might provide a non-invasive diagnostic tool for the early detection of osteoarthritic changes within the knee joint.

Dynamic 19F-MRI of pulmonary ventilation in lung transplant recipients with and without chronic lung allograft dysfunction

BackgroundBy the time chronic lung allograft dysfunction (CLAD), with its main phenotypes bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), is diagnosed by pulmonary function testing, irreversible damage to the lung allograft may already have occurred. Dynamic 19F-MRI of inhaled perfluoropropane may detect subtle changes in regional lung ventilation and provides a quantitative measure of regional lung function. We assessed feasibility of detecting regional ventilation dysfunction due to CLAD in lung transplant recipients. MethodsDynamic 19F-MRI was performed in ten lung transplant recipients, four without CLAD and six with CLAD (5 BOS, 1 RAS). Gas wash-in and washout dynamics were assessed and regional lung clearance index (RLCI) provided a quantitative metric of regional lung ventilation. ResultsBOS patients had substantially greater variation in regional ventilation compared with stable patients, with more regions of reduced ventilation, especially in the periphery. Tracer washout was homogeneous and rapid in stable patients but highly heterogeneous in CLAD. CLAD patients exhibited significant difference in RLCI between central and peripheral lung regions (p=0.0016) and a wider interquartile range of RLCI for wash-in compared with stable patients (no CLAD 4.1, BOS 10.5, p=0.036). FEV1 (% of baseline) negatively correlated with ventilation during wash-in, most strongly for the periphery (r=-0.844, p=0.0021). ConclusionsDynamic 19F-MRI identified quantifiable differences in regional ventilation in lung transplant recipients with and without CLAD and was well tolerated. Larger longitudinal studies using this approach will determine if early detection of changes in regional ventilation in lung transplant patients allows earlier CLAD detection.

Measures of spatial memory, peripheral inflammation and negative emotional state predict social-cognitive skills in healthy aging cats

Aging is a complex, multidimensional process. Normative aging is typically accompanied by declines in several cognitive domains, including memory and social cognition. As aging progresses, the often-overlooked early manifestations of cognitive decline can advance, leading to an inability to adapt to new situations and environments. Potential mechanisms influencing cognitive decline remain elusive, but, among other mechanisms, inflammaging, an age-related increase in the chronic production of pro-inflammatory mediators, and emotional stress are implicated. Cognitive function in cats is under-researched, with no studies on the link between potential risk factors and cognitive signs in aging subjects. Understanding this link is essential as it may facilitate the early identification of cognitive decline and encourage preventative, individualized interventions. We carried out a citizen science study to investigate, for the first time, the relationship between cognitive functions, stress, and the inflammatory markers interleukin (IL)-1β and IL-10 in 44 healthy, privately owned pet cats (7–14 years of age), who underwent standardized testing in their home environment. A task was employed to test spatial memory, requiring the cat to recall the location of a food-baited container. An unsolvable task was used to assess cats' social cognition and cognitive flexibility by measuring how they used referential communication (i.e., gaze alternation between the apparatus and the caregivers) compared to their persistence in trying to obtain food which was out of reach. Generalized linear regression analysis, conducted while adjusting for demographic factors and stress behaviors, revealed: 1) a predictive positive relationship connecting spatial memory and the use of social referencing with the caregiver (more gaze alternation) in the unsolvable task, highlighting the importance of the interplay between cognitive domains in sustaining complex behaviors, and 2) a reduced engagement in social referencing toward caregivers (less gaze alternation) in the presence of higher serum levels of IL-1β in the unsolvable task, especially as cats get older. A cat’s social cognitive performance was also negatively predicted by stress-related behaviors, which is not surprising given that cats are sentient creatures whose everyday behavior is also influenced by emotional states. These findings provide new insights into the crosstalk between different cognitive domains during aging and the potential contributions of emotions and inflammation to cognitive changes in healthy aging cats. Further research using this multidimensional approach will help explore these mechanisms of cognitive aging and potential markers for early detection of cognitive changes in older cats, which is critical for timely interventions.

Neuroimaging Findings From Cerebral Structure and Function in Coronary Artery Disease.

An increasing number of evidence suggests that bidirectional communication between the cardiovascular system and the central nervous system (CNS), known as the heart-brain interaction, is crucial in understanding the impact of coronary artery disease (CAD) on brain health. The multifactorial role of CAD in the brain involves processes such as inflammation, oxidative stress, neuronal activity, neuroendocrine imbalances, and reduced cerebral perfusion, leading to various cerebral abnormalities. The mechanisms underlying the relationship between CAD and brain injury are complex and involve parallel pathways in the CNS, endocrine system, and immune system. Although the exact mechanisms remain partially understood, neuroimaging techniques offer valuable insights into subtle cerebral abnormalities in CAD patients. Neuroimaging techniques, including assessment of neural function, brain metabolism, white matter microstructure, and brain volume, provide information on the evolving nature of CAD-related cerebral abnormalities over time. This review provides an overview of the pathophysiological mechanisms of CAD in the heart-brain interaction and summarizes recent neuroimaging studies utilizing multiparametric techniques to investigate brain abnormalities associated with CAD. The application of advanced neuroimaging, particularly functional, diffusion, and perfusion advanced techniques, offers high resolution, multiparametric capabilities, and high contrast, thereby allowing for the early detection of changes in brain structure and function, facilitating further exploration of the intricate relationship between CAD and brain health. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 3.

Signs and symptoms in hospitalized children and adolescents' triggering nurses' awareness – A qualitative study across Denmark and Norway

BackgroundAssessment of signs and symptoms in hospitalized children presents unique challenges due to the children's age-related differences, such as vital signs and the broad range of medical conditions that affects children. Early detection of clinical changes in children is crucial to prevent deterioration, and while standardized tools exist, there is a growing recognition of the need to consider subjective factors based on experienced nurses' knowledge and intuition. ObjectiveTo explore which signs and symptoms, apart from vital signs, that trigger nurses' concern regarding deterioration of hospitalized children and adolescents. DesignThis study used a descriptive qualitative design. SettingsThe study was conducted at three pediatric departments in Denmark and a nursing department of a university in Norway, offering post graduate education programs for health care professions working with children and adolescents throughout Norway. ParticipantsA total sample of 29 registered nurses with varying levels of experience participated. MethodFour focus group interviews were used to collect data and analyzed with inductive content analysis approach. ResultsNurses' knowledge about children's clinical conditions is influenced by the nurses experience, their use of senses like touching the child with their hands, and the use of various approaches. Information from parents about the child's normal behavior are considered valuable. These sources of information, often difficult to verbalize, might be referred to as intuition or “gut feeling” and often guides the nurses' actions when vital signs appear normal, and nurses rely on their senses to assess the child's condition. Specific indicators triggering concern include changes in respiration, circulation, level of consciousness, and facial expressions. Challenges arise from nighttime assessments, interactions with parents, the presence of electronic devices, and children's ability to compensate. Clinical experience is a significant factor in nurses' ability to recognize changes in in the child's condition. ConclusionThis study highlights the multifaceted nature of nurses' assessments of clinical conditions in hospitalized children. Nurses draw on their experiences, intuition, and interactions with parents to complement vital signs-based assessments. Their intuition, or “gut feeling” serves as a valuable tool when vital signs do not fully capture the child's clinical status. Specific signs and symptoms that trigger nurses' concern, along with the challenges they face, contribute to a comprehensive understanding of the complexity of assessing children's clinical conditions. These findings, emphasize the role of nurses in early recognition of clinical deterioration in hospitalized children and the need for assessments that go beyond vital signs. Tweetable abstractBoth objective assessments and intuitive clinical judgment play an important role in identifying potential deterioration in pediatric patients.

Vascular medicine in the 21st century: Embracing comprehensive vasculature evaluation and multidisciplinary treatment.

The field of vascular medicine has undergone a profound transformation in the 21st century, transforming our approach to assessment and treatment. Atherosclerosis, a complex inflammatory disease that affects medium and large arteries, presents a major challenge for researchers and healthcare professionals. This condition, characterized by arterial plaque formation and narrowing, poses substantial challenges to vascular health at individual, national, and global scales. Its repercussions are far-reaching, with clinical outcomes including ischemic heart disease, ischemic stroke, and peripheral arterial disease-conditions with escalating global prevalence. Early detection of vascular changes caused by atherosclerosis is crucial in preventing these conditions, reducing morbidity, and averting mortality. This article underscored the imperative of adopting a holistic approach to grappling with the intricacies, trajectories, and ramifications of atherosclerosis. It stresses the need for a thorough evaluation of the vasculature and the implementation of a multidisciplinary treatment approach. By considering the entire vascular system, healthcare providers can explore avenues for prevention, early detection, and effective management of this condition, ultimately leading to improved patient outcomes. We discussed current practices and proposed new directions made possible by emerging diagnostic modalities and treatment strategies. Additionally, we considered healthcare expenditure, resource allocation, and the transformative potential of new innovative treatments and technologies.

Enhancing cardiac postoperative care: a smartwatch-integrated remote telemonitoring platform for health screening with ECG analysis.

The integration of smartwatches into postoperative cardiac care transforms patient monitoring, systematically tracking vital signs and delivering real-time data to a centralized platform. This study focuses on developing a platform for seamless integration, assessing reliability, and evaluating the impact on post-cardiac surgery. The goal is to establish a robust foundation for understanding the efficacy and dependability of smartwatch-based telemonitoring, enhancing care for this population. A total of 108 cardiac surgery patients were divided into telemonitoring (TLM) and control (CTL) groups. The TLM group utilized smartwatches for continuous monitoring of vital parameters (SpO2, HR, BP, ECG) over 30 ± 3 days. Statistical analyses (Pearson, Intraclass Correlation, Bland-Altman, Tost Test) were employed to compare smartwatch measurements with traditional methods. Significant correlations and concordance were observed, particularly in HR and BP measurements. Challenges were noted in SpO2 measurement. The ECG algorithm exhibited substantial agreement with cardiologists (Kappa: 0.794; p > 0.001), highlighting its reliability. The telemonitoring platform played a crucial role in early detection of clinical changes, including prompt Emergency Department (ED) visits, contributing significantly to preventing outcomes that could lead to mortality, such as asymptomatic Atrioventricular block. Positive patient responses affirmed technological efficacy, especially in identifying cardiac arrhythmias like atrial fibrillation. The integration of smartwatches into remote telemonitoring for postoperative cardiac care demonstrates substantial potential, improving monitoring and early complication detection, thereby enhancing patient outcomes. The FAPO-X Study (Assisted Digital Telemonitoring with Wearables in Patients After Cardiovascular Surgery; NCT05966857) underscores the promising role of telemonitoring in postoperative cardiac care.

Modeling Realistic Geometries in Human Intrathoracic Airways.

Geometrical models of the airways offer a comprehensive perspective on the complex interplay between lung structure and function. Originating from mathematical frameworks, these models have evolved to include detailed lung imagery, a crucial enhancement that aids in the early detection of morphological changes in the airways, which are often the first indicators of diseases. The accurate representation of airway geometry is crucial in research areas such as biomechanical modeling, acoustics, and particle deposition prediction. This review chronicles the evolution of these models, from their inception in the 1960s based on ideal mathematical constructs, to the introduction of advanced imaging techniques like computerized tomography (CT) and, to a lesser degree, magnetic resonance imaging (MRI). The advent of these techniques, coupled with the surge in data processing capabilities, has revolutionized the anatomical modeling of the bronchial tree. The limitations and challenges in both mathematical and image-based modeling are discussed, along with their applications. The foundation of image-based modeling is discussed, and recent segmentation strategies from CT and MRI scans and their clinical implications are also examined. By providing a chronological review of these models, this work offers insights into the evolution and potential future of airway geometry modeling, setting the stage for advancements in diagnosing and treating lung diseases. This review offers a novel perspective by highlighting how advancements in imaging techniques and data processing capabilities have significantly enhanced the accuracy and applicability of airway geometry models in both clinical and research settings. These advancements provide unique opportunities for developing patient-specific models.

Hidden results of functional diversity in macroinvertebrates: Trait-groups specific response to flow intermittency in lowland streams

As global flow intermittency increases, understanding how macroinvertebrates respond at a functional level in streams becomes crucial for effective water management. This study investigates the functional response of macroinvertebrates to flow intermittency in Hungarian lowland streams over a 10-month period, comparing intermittent and perennial streams across the entire community, trait groups, and trait states. We aimed to demonstrate differences in functional diversity using metrics such as functional richness, evenness, divergence, dispersion, and Rao's quadratic entropy. For trait groups, we focused on both response and stable traits, anticipating greater differences in response traits. Additionally, we identified which trait states, as indicated by community-weighted means, contribute significantly to variations between streams. Our findings indicate that functional diversity in intermittent streams is generally lower or equivalent to that in perennial streams, suggesting disparities in functional trait composition. Significant differences were observed within trait groups, indicating specific responses of trait groups to intermittency. We identified resilience trait states—including current velocity, reproduction, respiration, female length, locomotion, substrate relation, aquatic stages, and resistance forms—that contributed to these differences. The three-level analysis revealed a hidden relationship: differences at the state level do not consistently manifest at the trait group or whole community levels. Investigating functional changes at the trait group or trait state level can serve as an early indicator of community shifts. Incorporating trait groups as indices into assessment frameworks could facilitate early detection of functional changes during bioassessment. We recommend considering trait groups when evaluating functional responses to flow intermittency in future studies.

Impact of cumulative dose of hydroxychloroquine on retinal structures.

What is known • Hydroxychloroquine (HCQ) is widely used for autoimmune disorders but is associated with the risk of retinal toxicity. • Early detection of retinal structural changes due to HCQ toxicity remains challenging, and cumulative HCQ dose as a risk factor has conflicting clinical relevance. What Is New • Higher cumulative HCQ doses are significantly associated with thinner outer retinal layers (foveal, parafoveal, and perifoveal regions). • No significant associations were found between HCQ cumulative dose and inner retinal thickness or age.

Use of High-Frequency Ultrasound for the Correlation of Epithelial Rete Peg Variation

ObjectiveRete pegs are projections of the oral epithelium into connective tissue. Their dimensions change during pathological conditions and may correlate with wound-healing status. Non-invasive, high-frequency ultrasound (US) may be able to capture these changes and aid in early detection of histopathological changes. The aim of this preclinical study is to correlate US images with histology and quantify epithelial layers at different tooth sites. MethodsSagittal B-mode images of mid-facial and interproximal oral soft tissue sites were recorded in a preclinical minipig model using a linear array in second harmonic mode (12/24 MHz). Histology samples from the same locations were stained (hematoxylin and eosin), digitized and registered with US images. Manual annotations were used to measure distances D1 (thickness of epithelium on histology vs. hyperechoic zone on US) and D2 (sum of epithelial thickness and length of rete pegs on histology vs. sum of hyperechoic and hypoechoic zone on US) to statistically analyze them. ResultsUltrasonic-derived dimensions yielded a mean bias of -0.64 (55% coefficient of variance [COV]: -180 to +180 µm) and -12 µm (39% COV: -260 to +240 µm) for D1 and D2, respectively. Individualized analysis of D1 and D2 by tooth type showed similar tends in the ability to differentiate between epithelium at different tooth locations, on both histology and US. ConclusionAssessing soft tissue dimensions on a sub-millimeter scale using clinical imaging hardware is still a developing area. Future research might open doors for diagnosis of oral pathologies and abnormal wound healing, and may limit false-positive indications for biopsies.

Relationship between serum metabolic indexes and immune function in patients with insomnia and their mechanism

We conducted a study to examine how certain serum metabolic markers (reactive oxygen species (ROS), homocysteine (Hcy), and reduced glutathione (GSH)) impact the levels of IL-4 in patients with insomnia. The study involved 60 insomnia patients, including 20 with primary insomnia and 20 with somatopathy insomnia, aged 23-84 years with a mean age of 61.20 ± 12.59 years and a mean disease duration of 6.97 ± 8.45 years. There were 20 normal controls, 11 males and 9 females, aged 26-63 years, with an average age of 49.95 ± 10.52 years. We measured ROS levels using immunofluorescence, Hcy levels using enzyme-linked immunosorbent assay, and GSH levels using ELISA. The IL-4 level in serum was also detected by ELISA to assess the patient's immune function. Our analysis revealed that changes in ROS, Hcy, and GSH levels were associated with changes in IL-4 levels in serum. Therefore, early detection of serum metabolic changes in insomnia patients and proactive intervention can help reduce susceptibility to various infections and tumors.

Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study.

Wearable physiological monitoring devices are promising tools for remote monitoring and early detection of potential health changes of interest. The widespread adoption of such an approach across communities and over long periods of time will require an automated data platform for collecting, processing, and analyzing relevant health information. In this study, we explore prospective monitoring of individual health through an automated data collection, metrics extraction, and health anomaly analysis pipeline in free-living conditions over a continuous monitoring period of several months with a focus on viral respiratory infections, such as influenza or COVID-19. A total of 59 participants provided smartwatch data and health symptom and illness reports daily over an 8-month window. Physiological and activity data from photoplethysmography sensors, including high-resolution interbeat interval (IBI) and step counts, were uploaded directly from Garmin Fenix 6 smartwatches and processed automatically in the cloud using a stand-alone, open-source analytical engine. Health risk scores were computed based on a deviation in heart rate and heart rate variability metrics from each individual's activity-matched baseline values, and scores exceeding a predefined threshold were checked for corresponding symptoms or illness reports. Conversely, reports of viral respiratory illnesses in health survey responses were also checked for corresponding changes in health risk scores to qualitatively assess the risk score as an indicator of acute respiratory health anomalies. The median average percentage of sensor data provided per day indicating smartwatch wear compliance was 70%, and survey responses indicating health reporting compliance was 46%. A total of 29 elevated health risk scores were detected, of which 12 (41%) had concurrent survey data and indicated a health symptom or illness. A total of 21 influenza or COVID-19 illnesses were reported by study participants; 9 (43%) of these reports had concurrent smartwatch data, of which 6 (67%) had an increase in health risk score. We demonstrate a protocol for data collection, extraction of heart rate and heart rate variability metrics, and prospective analysis that is compatible with near real-time health assessment using wearable sensors for continuous monitoring. The modular platform for data collection and analysis allows for a choice of different wearable sensors and algorithms. Here, we demonstrate its implementation in the collection of high-fidelity IBI data from Garmin Fenix 6 smartwatches worn by individuals in free-living conditions, and the prospective, near real-time analysis of the data, culminating in the calculation of health risk scores. To our knowledge, this study demonstrates for the first time the feasibility of measuring high-resolution heart IBI and step count using smartwatches in near real time for respiratory illness detection over a long-term monitoring period in free-living conditions.

In the Acute Phase of Anterior Cruciate Ligament Rupture: Quantitative Assessment of Matrix Changes and Correlation between Different States of Meniscus and Adjacent Cartilage.

Cartilage and meniscus are important structures that maintain the health of the knee joint. Early detection of changes in the internal components of cartilage and meniscus before morphological changes occur is essential to prevent and delay the development of osteoarthritis (OA). This study was designed to determine the changes in the matrix composition of morphologically intact cartilage and meniscus during the acute phase of an anterior cruciate ligament (ACL) rupture, as well as the effect of different states of meniscus (intact or tear) on adjacent cartilage during the acute phase. This cross-sectional study compared and analyzed 50 patients in the acute phase of ACL rupture who underwent surgical treatment and 66 age-, weight- and height-matched healthy volunteers from May 2022 to May 2023 at our institution. Mean T2 relaxation times and effect sizes in different regions of tibiofemoral articular cartilage and meniscus were compared between the two groups using the Mann-Whitney nonparametric t-test, and correlations between different meniscal states and adjacent cartilage were analyzed. Both in the lateral and medial compartments of the knee, T2 relaxation times were significantly higher in all subregions of cartilage and meniscus in the ACL rupture group (p < 0.05), and the site of injury was predominantly centered in the medial compartment (femur, p = 0.000; tibia, p = 0.000; anterior horn, p = 0.000). In the respective compartments, the posterior horn of the lateral meniscus showed a significant positive correlation with the mid-cartilage of the femoral and tibial (r = 0.566, p = 0.035; r = 0.611, p = 0.02); and the posterior horn of the medial meniscus showed a significant positive correlation with the posterior tibial cartilage (r = 0.668, p = 0.018). During the acute phase of ACL rupture, the internal composition of the cartilage and meniscus undergoes significant changes, even if the morphology is intact. More importantly, the state of the meniscus significantly affects the internal composition of the adjacent cartilage. This is an early warning sign of OA, which should be closely monitored and carefully managed in clinical practice.

Screening and diagnosis of chronic kidney disease among patients living with diabetes: A retrospective cohort study using the Canadian Primary Care Sentinel Surveillance Network

IntroductionIn Canada, regional evaluations of screening practices for chronic kidney disease (CKD) among people with diabetes highlight areas for improvement; however, national estimates are notably absent. Estimates of CKD incidence often discount the expected decline in eGFR associated with age; age-adaptive thresholds may help account for this. We describe the frequency of screening and diagnosis of CKD among adults with diabetes among a nationally representative primary care cohort. MethodsIn this retrospective cohort study, we used electronic medical record data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). We followed adult patients (18+) with diabetes without CKD at baseline for 5 years starting in 2014. We determined the frequency of ACR and/or eGFR testing over time. We identified incident CKD diagnoses based on eGFR measurements using fixed-threshold and age-adaptive definitions and quantified the incidence proportion and rate. ResultsWe analysed records from 37,604 patients with diabetes. Only 13% of patients had yearly eGFR and ACR testing for CKD, though roughly 60% had non-yearly use of both tests in 5 years. eGFR testing was performed more frequently than ACR testing (94.1% vs. 76.6% having testing over follow-up). We found increased incidence proportions (14.6 % vs. 6.0%) and rates (33.1 vs. 13.4 diagnoses/1000 person-years) of CKD using the fixed-threshold compared to age-adaptive definitions. ConclusionsOur study presents the first national understanding of screening practices for CKD among people with diabetes in Canada. In particular, increased use of ACR testing should be encouraged for early detection of changes in kidney function.

Accuracy of the Measurement of Uterine Leiomyoma by Transabdominal Ultrasonography.

Introduction Uterine leiomyoma is a benign smooth muscle tumor. It does not necessarily require curative treatment, but if conservative management is chosen, it is important to rule out uterine leiomyosarcoma. When a size increase is observed, one must consider malignancy, and thus objective and cost-effective measurement of uterine size is important, especially for early detection of malignant change. Although MRI imaging is thought to be the gold standard for the diagnosis of uterine leiomyosarcoma, frequent MRI is impractical because of the incidence of uterine leiomyoma and the economic burden in real-world clinical practice. On the other hand, ultrasonography (US) is considered the most useful device in the observation of size changes. So this study aimed to examine the accuracy of the measurement of transabdominal US compared to MRI imaging. Materials and methods This retrospective study included 92 patients withuterine myoma ≥ 50 mm who undertook an MRI within 30 days after the transabdominal US. The longest diameter of the largest myoma (a), the longest diameter perpendicular to a in the sagittal image (b), and the longest diameter perpendicular to a and b in the axial image (c) were measured by US and MRI, and these were used to calculate the volume. Results were analyzed by intraclass correlation coefficient (ICC) 3.1. Results The ICC for the volume and major axis of the largest myoma by US and MRI were 0.87 and 0.90, respectively. The 95% confidence intervals (CI) were 0.82-0.91 and 0.87-0.93, respectively. Both reliability levels ranged from good to excellent. ICC was 0.54 (95%CI 0.15-0.78) in myomas with a volume of >500 cm3, and the concordant rate between US and MRI was poor to good. On the other hand, ICC was 0.82 (95%CI 0.57-0.93) even though all myomas with major axes greater than 120 mm had a volume >500 cm3, and the concordant rate between US and MRI measurements was moderate to excellent. In the evaluation by major axis, ICC was 0.60 (95%CI -0.41-0.95) for myomas larger than 160 mm, indicating a lower concordant rate. Conclusion Transabdominal US is an appropriate modality as well as MRI for follow-up of uterine myoma size if the nodules are 160 mm or smaller. Measurement of the major axis is easier and more useful than volume.