Laboratory-based Tests Research Articles

An automatic pressure control system for precise spray pattern analysis on spray patternator

A study was carried out to develop an automatic pressure control system to regulate the spray pressure of various nozzles, including Type A, Type B, and Type C nozzles. A laboratory-based hydraulic nozzle test setup was utilized to evaluate the performance of hydraulic nozzles at different operating pressures ranging from 2 to 5 kg/cm2 (196.2 kPa–490.33 kPa), with regular intervals of 0.5 kg/cm2 (49.03 kPa). Water pumping was achieved using a 12 V DC diaphragm pump. A comparison was made between the developed pressure control system and a pressure relief valve + gate valve in terms of their ability to control pressure and assess the effectiveness of the developed system. Furthermore, the impact of operating pressure on flow rate, cone angle, swath width, and spray dispersion were examined. Upon utilization of the developed pressure control system to set the operating pressure, the discharge rates exhibited less than 1 % variation across all pressure settings and repetitions. Conversely, when a pressure relief valve and gate valve were used to set the operating pressure, discharge rates for all three nozzles displayed a coefficient of variation (CV) exceeding 1 % at most set pressures. The pressure control system successfully maintained the pressure within ±0.1 kg/cm2 (±9.81 kPa) of the target pressure level. The Type A nozzle exhibited the most uniform volumetric distribution at an operating pressure of 4 kg/cm2 (392.27 kPa), with a CV of 8.52 %, which was the lowest among the three nozzles studied.

Advancing hearing research with the NAL ecologically momentary assessment platform for real-world insights

Ecological Momentary Assessment (EMA) is an invaluable tool for assessing people's behaviours and experiences in their natural surroundings. We have developed a smartphone-based EMA tool, called NEMA, that has contributed to over 10 research studies by providing meaningful real-world insights into how individuals with hearing loss interact with various hearing device technologies. By providing real-world perspectives that complement traditional lab-based tests, NEMA offers a more comprehensive understanding of everyday hearing and communication challenges. Its advanced features include cloud-connectivity, customisable surveys, cross-device acoustic feature measurements from the environment, and a back-end platform enabling real-time data monitoring and visualization. To derive vital insights from this rich data stream, advanced analytical methodologies are applied. However, there exist limitations with smartphone-based EMAs that can influence their overall effectiveness. We identify these constraints and discuss strategies to alleviate participant burden and increase task relevance. These initiatives aim to enhance compliance and diversify data collected. Current work involves integrating smartwatches and additional sensor technology into our next generation NEMA platform. This progression aims to facilitate a more comprehensive capture of diverse data sets, ultimately leading to a deeper understanding of individual auditory experiences.

A-361 Implementation of a Fit-for-purpose Point of Care Quality Assurance Program

Abstract Background All individuals should have equitable access to accurate and timely testing for infectious diseases. Point of care testing (PoCT) has been developed to support populations having limited access to laboratory-based testing. Unlike laboratory-based testing, PoCT is often performed by non-laboratory staff and outside the jurisdiction of regulatory frameworks. Under these conditions, quality assurance (QA) of PoCT is often lacking; inaccurate testing can go undetected, leading to poor patient outcomes. A fit-for-purpose QA program was developed to monitor the quality of PoCT for infectious disease testing, particularly in low-middle income countries and in testing outside the laboratory regulatory environment. Methods In collaboration with the World Health Organization (WHO), the National Serology Reference Laboratory (NRL) reviewed the barriers to participation in QA programs experienced by PoCT sites. Using this information, NRL developed a QA model specifically designed for PoCT for infectious disease. In collaboration with Foundation for Innovative and New Diagnostics (FIND, Geneva, Switzerland), Kirby Institute (Sydney, Australia) and Flinders University (Adelaide, Australia), NRL implemented the PoCT QA model across Africa, Asia, and remote regional Australia. The model consists of competency panels (CP - one positive and one negative sample) and external quality assessment (EQA) panels. The EQA panels contain five samples. Whereas the test site knows the reactivity of the CP samples, the EQA samples are tested blinded. Both panels use inactivated samples that are stable at ambient temperature. The model uses streamlined logistics channels, with data collection and analysis using smartphone technology and QR codes. NRL designed a method for randomizing the identity of EQA sample vials so test sites can test QA panels ad hoc, and not be limited to specific test event dates. A range of support material such as pictorial instructions for use, virtual training events and on-line videos were produced to support test sites. Results More than 100 test sites from 14 countries have participated in the NRL PoCT QA programs. The model is designed so data is collected by test sites scanning QR codes and entering results directly into a data entry screen. The NRL PoCT QA program removed barriers to participation by offering sample types that are inactivated and stable at ambient temperature for extended periods of time, removing the need for dry ice shipping. The program is cost effective making it accessible to low- and middle-income countries. Data is collected using novel smartphone technology, facilitating results to be entered into a central database for immediate analysis. Testing of the QA samples can be done at any time, avoiding set test events. Conclusion Implementation of a fit-for-purpose PoCT QA for infectious disease testing removes the barriers to participation and facilitates the monitoring of testing over time. Any deficiencies in testing can be detected and addressed rapidly, ensuring that accurate test results are reported, and the population protected.

Protozoan-Priming and Magnesium Conditioning Enhance Legionella pneumophila Dissemination and Monochloramine Resistance.

Opportunistic pathogens (OPs) are of concern in drinking water distribution systems because they persist despite disinfectant residuals. While many OPs garner protection from disinfectants via a biofilm lifestyle, Legionella pneumophila (Lp) also gains disinfection resistance by being harbored within free-living amoebae (FLA). It has been long established, but poorly understood, that Lp grown within FLA show increased infectivity toward subsequent FLA or human cells (i.e., macrophage), via a process we previously coined "protozoan-priming". The objectives of this study are (i) to identify in Lp a key genetic determinant of how protozoan-priming increases its infectivity, (ii) to determine the chemical stimulus within FLA to which Lp responds during protozoan-priming, and (iii) to determine if more infectious forms of Lp also exhibit enhanced disinfectant resistance. Using Acanthamoeba castellanii as a FLA host, the priming effect was isolated to Lp's sidGV locus, which is activated upon sensing elevated magnesium concentrations. Supplementing growth medium with 8 mM magnesium is sufficient to produce Lp grown in vitro with an infectivity equivalent to that of Lp grown via the protozoan-primed route. Both Lp forms with increased infectivity (FLA-grown and Mg2+-supplemented) exhibit greater monochloramine resistance than Lp grown in standard media, indicating that passage through FLA not only increases Lp's infectivity but also enhances its monochloramine resistance. Therefore, laboratory-based testing of disinfection strategies should employ conditions that simulate or replicate intracellular growth to accurately assess disinfectant resistance.

Going beyond PA: Assessing sensorimotor capacity with wearables in multiple sclerosis—a cross-sectional study

BackgroundWearable technologies are currently clinically used to assess energy expenditure in a variety of populations, e.g., persons with multiple sclerosis or frail elderly. To date, going beyond physical activity, deriving sensorimotor capacity instead of energy expenditure, is still lacking proof of feasibility.MethodsIn this study, we read out sensors (accelerometer and gyroscope) of smartwatches in a sample of 90 persons with multiple sclerosis over the course of one day of everyday life in an inpatient setting. We derived a variety of different kinematic parameters, in addition to lab-based tests of sensorimotor performance, to examine their interrelation by principal component, cluster, and regression analyses.ResultsThese analyses revealed three components of behavior and sensorimotor capacity, namely clinical characteristics with an emphasis on gait, gait-related physical activity, and upper-limb related physical activity. Further, we were able to derive four clusters with different behavioral/capacity patterns in these dimensions. In a last step, regression analyses revealed that three selected smartwatch derived kinematic parameters were able to partially predict sensorimotor capacity, e.g., grip strength and upper-limb tapping.ConclusionsOur analyses revealed that physical activity can significantly differ between persons with comparable clinical characteristics and that assessments of physical activity solely relying on gait can be misleading. Further, we were able to extract parameters that partially go beyond physical activity, with the potential to be used to monitor the course of disease progression and rehabilitation, or to early identify persons at risk or a sub-clinical threshold of disease severity.

Methodology for developing a prediction model for the remaining fatigue life and residual strength of tidal turbine blades

As tidal energy nears commercial viability, the reliability and safety of a tidal energy device becomes more prevalent. A key aspect for determining their reliability and safety, along with reducing risk during operational deployment, is the structural integrity of tidal turbine blades. Therefore, a validated model for predicting the structural integrity of tidal turbine blades will aid in de-risking tidal energy technologies. In this study, a three-phase approach was used to formulate a strategy to predict the remaining fatigue life and residual strength of tidal turbine blades, over their operational lifespan. In Phase 1, the parameters influencing the structural properties of tidal turbine blades were identified based on the literature review, and the expertise in the field. Then, parameters were extensively studied and classified into four main impact groups, which include load conditions, design and manufacturing, degradation, and unexpected situations. Loading conditions on the blade are directly linked to hydrodynamic forces, maintenance, operating conditions, and corrosion effects. At the same time, these scenarios can vary with fluid-structure interactions, climate conditions, local site conditions, and maintenance and inspection schedules of the blades. The design and manufacturing category mainly represents the impact of the properties of composite materials, the geometry of the blade, and manufacturing process parameters. Similar to the other structures, tidal turbine blades are subject to deterioration and unexpected accidents during their service life, which significantly compromises the structural integrity of the blade. In Phase 2, a data management strategy was formulated related to identified four impact categories and investigated the possible methods of analysing the data. In this context, finite element analysis of composite tidal turbine blades was identified as the most appropriate tool to comprehensively examine collected data, prior to comparing the results to the field and laboratory-based test data. Mesh properties of the numerical models, test standards, instrumentation, and equipment used for field and laboratory-based structural testing of tidal turbine blades, as well as the accuracy of data acquisition systems, influence the comparison of these results. Finally, with the information gathered, as well as knowledge and experience in the field, a method for estimating the residual strength and remaining fatigue life of tidal turbines at each stage of their operation was formulated. The model will undergo a series of extensive validation processes using experimental testing datasets and will be used in the future to develop vulnerability curves related to the remaining structural life of the tidal turbine blades.

Reflex Hepatitis C Virus Viral Load Testing Following an Initial Positive Hepatitis C Virus Antibody Test: A Global Systematic Review and Meta-analysis.

Many people who have a positive hepatitis C virus (HCV) antibody (Ab) test never receive a confirmatory HCV RNA viral load (VL) test. Reflex VL testing may help address this problem. We undertook a systematic review to evaluate the effectiveness of reflex VL testing compared with standard nonreflex approaches on outcomes across the HCV care cascade. We searched 4 databases for studies that examined laboratory-based reflex or clinic-based reflex VL testing approaches, with or without a nonreflex comparator, and had data on the uptake of HCV RNA VL test and treatment initiation and turnaround time between Ab and VL testing. Both laboratory- and clinic-based reflex VL testing involve only a single clinic visit. Summary estimates were calculated using random-effects meta-analyses. Fifty-one studies were included (32 laboratory-based and 19 clinic-based reflex VL testing). Laboratory-based reflex VL testing increased HCV VL test uptake versus nonreflex testing (RR: 1.35; 95% CI: 1.16-1.58) and may improve linkage to care among people with a positive HCV RNA test (RR: 1.47; 95% CI: .81-2.67) and HCV treatment initiation (RR: 1.03; 95% CI: .46-2.32). The median time between Ab and VL test was <1 day for all laboratory-based reflex studies and 0-5 days for 13 clinic-based reflex testing. Laboratory-based and clinic-based HCV reflex VL testing increased uptake and reduced time to HCV VL testing and may increase HCV linkage to care. The World Health Organization now recommends reflex VL testing as an additional strategy to promote access to HCV VL testing and treatment. PROSPERO CRD42021283822.

Phytochemicals, Nutrient Levels and Antioxidants of Various Types of Sweet Potatoes (Ipomoea batatas L.)

This study aims to identify the phytochemical compounds, including flavonoids, tannins, phenols, beta-carotene, anthocyanins, and fiber, as well as the antioxidant capacity of various types of sweet potatoes. Method: The research followed a descriptive observational design with laboratory-based testing. The identification of phytochemical compounds utilized specific reagents. One Way ANOVA was employed to assess the differences in average levels of phytochemicals, nutrients, and antioxidant capacity (IC50) among the different types of sweet potatoes with normally distributed data. The determination of flavonoid, tannin, phenol, beta-carotene, and anthocyanin levels was carried out using UV/Vis Spectrophotometry at specific wavelengths. Crude fiber content was determined using the gravimetric method, while the antioxidant capacity was measured using the DPPH (2,2-Diphenyl-1-Picrylhydrazyl) method. Results: The findings indicated that all types of sweet potatoes contain alkaloids, while some lack steroids. Purple sweet potatoes showed the highest levels of flavonoids, tannins, and phenols at 627.27, 1727.27, and 1507.14 mg/100 g, significantly differing from other types of sweet potatoes (p = 0.00). Besides, purple sweet potatoes exhibited the highest anthocyanin content (18.35 mg/100 g) compared to other types, showing a significant difference (p = 0.00). Orange sweet potatoes exhibited the highest levels of beta-carotene and fiber, at 15.49 and 5.63 mg/100 g, respectively, although the difference was not statistically significant (p = 0.83). The antioxidant capacity (IC50) of purple, orange, white, and yellow sweet potatoes were 45.13, 266.59, 190.01, and 210.73 ppm, respectively. Conclusion: Different varieties of sweet potatoes exhibit variations in phytochemical composition and antioxidant capacity. Purple sweet potatoes are rich in flavonoids, tannins, phenols, and anthocyanins, with significant antioxidant potential. Orange sweet potatoes show high levels of beta-carotene and fiber but have comparable antioxidant activity to white and yellow varieties

Machine-Learning Assisted Identification of Battery Life Models

Predictive battery life models are commonly utilized to extrapolate degradation trends observed during accelerated aging tests for simulation of degradation in real-world applications. Thus, fitting accelerated aging data as accurately as possible and with low uncertainty is crucial for making believable projections of battery lifetime, but it is challenging to identify algebraic expressions that accurately fit multivariate degradation trends. A review of models published in literature reveal some common expressions for fitting calendar aging data, which is only dependent on temperature and state-of-charge, but no consistency across many models for fitting cycle aging data, indicating the need for a statistically rigorous data driven approach for developing empirical models.This talk will describe a machine-learning assisted method for identification of predictive battery life models utilizing bilevel optimization and symbolic regression. Bilevel optimization with cross-validation is used to statistically determine cell- and stress-dependent model parameters, while symbolic regression identifies both linear and multiplicative candidate expressions to predict stress-dependent degradation rates by selecting low-order subsets of features from a generated feature library. Because model expressions are identified empirically, it is crucial to ensure resulting models behave according to physical expectations, so the stability of models for interpolation or extrapolation is interrogated qualitatively through simulation and quantitatively through cross-validation and uncertainty quantification via bootstrap resampling. This model identification approach substantially improves upon models identified purely using expert judgement in terms of both accuracy and uncertainty.Model simulation and validation is then conducted by deriving a state-equation form of the predictive model, enabling simulation of battery aging under dynamic stresses. This enables validation of the predictive battery model on lab-based tests with varying conditions or on drive-cycle or application-cycle testing protocols. Parameter uncertainty can be carried forward into model simulation, giving lifetime estimates and confidence windows for cell- or system-level lifetime. The financial impact of battery model uncertainty can be estimated by incorporating uncertainty into a technoeconomic model.

Laboratory evaluation of eleven rapid diagnostic tests for serological diagnosis of Chagas disease in Colombia.

Chagas disease is a public health challenge in Colombia, where only an estimated 1.2% of people at risk have accessed diagnosis, while less than 0.5% of affected people have obtained treatment. The development of simplified diagnostic algorithms would enable progress in access to diagnosis; however, the current diagnostic algorithm relies on at least two laboratory-based tests that require qualified personnel, processing equipment, and infrastructure, which are still generally lacking at the primary care level. Rapid diagnostic tests (RDTs) for Chagas disease could simplify diagnosis, but their performance in the epidemiological context of Colombia is not well known. A retrospective analytical observational study of RDTs was performed to estimate the operational characteristics of 11 commercially available RDTs designed for in vitro detection of anti-T. cruzi IgG antibodies. The study was performed under controlled laboratory conditions using human serum samples. Eleven RDTs were assessed, ten using 585 serum samples and one using 551 serum samples. Employing the current national diagnostic algorithm as a reference standard for serological diagnosis of chronic infection, the sensitivity of the assessed RDTs ranged from 75.5% to 99.0% (95% CI 70.5-100), while specificity ranged from 70.9% to 100% (95% CI 65.3-100). Most tests (7/11, 63.6%) had sensitivity above 90%, and almost all (10/11, 90.9%) had specificity above 90%. Five RDTs had both sensitivity and specificity above 90%. The evaluation of these 11 commercially available RDTs under controlled laboratory conditions is a first step in the assessment of the diagnostic performance of RDTs in Colombia. As a next step, field studies will be conducted on available RDTs with sensitivity and specificity greater than 90% in this study, to evaluate performance in real world conditions, with the final goal to allow simplified diagnostic algorithms.

The Assistive Benefits of Remote Microphone Technology for Normal Hearing Children With Listening Difficulties.

Children often present with listening difficulties (LiD) but with normal sound detection thresholds. These children are susceptible to learning challenges, and struggle with the suboptimal acoustics of standard classrooms. Remote microphone technology (RMT) is one way to improve the listening environment. The aim of this study was to determine the assistive potential of RMT for speech identification and attention skills in children with LiD, and to investigate whether the benefits obtained by these children were greater than for those with no listening concerns. A total of 28 children with LiD and 10 control participants with no listening concerns aged 6 to 12 years were included in this study. Children attended two laboratory-based testing sessions, where their speech intelligibility and attention skills were behaviorally assessed with and without the use of RMT. There were significant improvements in speech identification and attention skills when RMT was used. For the LiD group, use of the devices improved speech intelligibility to being comparable or better than control abilities without RMT. Auditory attention scores also improved from being poorer than controls without RMT to comparable to control performance with device assistance. Use of RMT was found to have a positive effect on both speech intelligibility and attention. RMT should be considered a viable option for addressing common behavioral symptoms of LiD, including for the many children that present with concerns of inattentiveness.

Release of cognitive and multimodal MRI data including real-world tasks and hippocampal subfield segmentations

We share data from N = 217 healthy adults (mean age 29 years, range 20–41; 109 females, 108 males) who underwent extensive cognitive assessment and neuroimaging to examine the neural basis of individual differences, with a particular focus on a brain structure called the hippocampus. Cognitive data were collected using a wide array of questionnaires, naturalistic tests that examined imagination, autobiographical memory recall and spatial navigation, traditional laboratory-based tests such as recalling word pairs, and comprehensive characterisation of the strategies used to perform the cognitive tests. 3 Tesla MRI data were also acquired and include multi-parameter mapping to examine tissue microstructure, diffusion-weighted MRI, T2-weighted high-resolution partial volume structural MRI scans (with the masks of hippocampal subfields manually segmented from these scans), whole brain resting state functional MRI scans and partial volume high resolution resting state functional MRI scans. This rich dataset will be of value to cognitive and clinical neuroscientists researching individual differences, real-world cognition, brain-behaviour associations, hippocampal subfields and more. All data are freely available on Dryad.

Target product profile: Trypanosoma brucei gambiense test for low-prevalence settings.

Having caused devastating epidemics during the 20th century, the incidence of life-threatening human African trypanosomiasis has fallen to historically low levels as a result of sustained and coordinated efforts over the past 20 years. Humans are the main reservoir of one of the two pathogenic trypanosome subspecies, Trypanosoma brucei gambiense, found in western and central Africa. The expected advent of a safe and easy-to-use treatment to be given to seropositive but microscopically unconfirmed individuals would lead to further depletion; in the meantime, the presence of T. b. gambiense infection in the community must be monitored to allow the control strategy to be adapted and the elimination status to be assessed. The World Health Organization has therefore developed a target product profile that describes the optimal and minimal characteristics of an individual laboratory-based test to assess T. b. gambiense infection in low-prevalence settings. Development of the target product profile involved the formation of a Neglected Tropical Diseases Diagnostics Technical Advisory Group and a subgroup on human African trypanosomiasis diagnostic innovation needs, and an analysis of the available products and development pipeline. According to the product profile, the test should ideally: (i)require a minimally invasive or non-invasive specimen, collectable at peripheral facilities by minimally trained health workers; (ii)demonstrate good sensitivity and high specificity; (iii)have a stability of samples allowing transfer to reference laboratories preferably without cold chain; (iv)be stable over a wide range of environmental conditions for more than 2years; and (v)after marketing, be available at low cost for at least 7years.

Comparison of health information exchange data with self-report in measuring cancer screening

BackgroundEfficient measurement of the receipt of cancer screening has been attempted with electronic health records (EHRs), but EHRs are commonly implemented within a single health care setting. However, health information exchange (HIE) includes EHR data from multiple health care systems and settings, thereby providing a more population-based measurement approach. In this study, we set out to understand the value of statewide HIE data in comparison to survey self-report (SR) to measure population-based cancer screening.MethodsA statewide survey was conducted among residents in Indiana who had been seen at an ambulatory or inpatient clinical setting in the past year. Measured cancer screening tests included colonoscopy and fecal immunochemical test (FIT) for colorectal cancer, human papilloma virus (HPV) and Pap tests for cervical cancer, and mammogram for breast cancer. For each screening test, the self-reported response for receipt of the screening (yes/no) and ‘time since last screening’ were compared with the corresponding information from patient HIE to evaluate the concordance between the two measures.ResultsGwet’s AC for HIE and self-report of screening receipt ranged from 0.24–0.73, indicating a fair to substantial concordance. For the time since receipt of last screening test, the Gwet’s AC ranged from 0.21–0.90, indicating fair to almost perfect concordance. In comparison with SR data, HIE data provided relatively more additional information about laboratory-based tests: FIT (19% HIE alone vs. 4% SR alone) and HPV tests (27% HIE alone vs. 12% SR alone) and less additional information about procedures: colonoscopy (8% HIE alone vs. 23% SR alone), Pap test (13% HIE alone vs. 19% SR alone), or mammography (9% HIE alone vs. 10% SR alone).ConclusionStudies that use a single data source should consider the type of cancer screening test to choose the optimal data collection method. HIE and self-report both provided unique information in measuring cancer screening, and the most robust measurement approach involves collecting screening information from both HIE and patient self-report.

Microplastic Analysis at Sea Water and Sediment in the Mahitam Island Lampung Bay using FT-IR

The amount of garbage that accumulates in the waters causes environmental damage which is getting worse. The breakdown of plastic waste into smaller particles that have been degraded is called microplastic. This study aims to analyze the number of particles, shapes, and types of microplastic polymers found in the water and sediments of Mahitam Island. The research location was determined by purposive random sampling with three stations based on plastic sources, namely Station I, Station II, and Station III, which had different characteristics from laboratory-based testing for seawater and sediment. Microplastic analysis on seawater samples was carried out by adding a solution of 70% ethanol, 30% H2O2, and 30% NaCl, and on sediment samples was carried out by adding a solution of FeSO4 (0.05 M), NaCl, and 30% H2O2. The content of the number of particles and the shape of microplastics were analyzed using a microscope, while the analysis of microplastic polymers using FT-IR. The first thing to do is to extract microplastics The forms of microplastic found are Fiber, Film, Fragments, and Pellets. The highest number of microplastic particles was the type of film for water samples at Station 1 and Station 2 for sediment samples. The types of polymers found in water and sediments on Mahitam Island are polyvinyl chloride (PVC), polyethylene (PE), polypropylene (PP), and polystyrene (PS) which come from plastic waste. Microplastics are known to originate from the use of plastic originating from tourist activities and originating from the sea currents of Mahitam Island.

Comparison of an ID NOW COVID-19 Assay Used at the Point of Care to Laboratory-Based Nucleic Acid Amplification Tests.

The emergence of a novel coronavirus, namely, SARS-CoV-2, necessitated the use of rapid, accurate diagnostics to quickly diagnose COVID-19. This need has increased with the emergence of new variants and continued waves of COVID-19 cases. The ID NOW COVID-19 assay is a rapid nucleic acid amplification test (NAAT) that is used by hospitals, urgent care facilities, medical clinics, and public health laboratories for rapid molecular SARS-CoV-2 testing at the point of care. The District of Columbia Department of Forensic Sciences Public Health Laboratory Division (DC DFS PHL) implemented ID NOW COVID-19 testing in nontraditional laboratory settings, including a mobile testing unit, health clinic, and emergency department, to assist with rapid identification and isolation for populations at high risk of SARS-CoV-2 transmission in the District of Columbia. The DC DFS PHL provided these nontraditional laboratories with safety risk assessment, assay training, competency assessment, and quality control monitoring as parts of a comprehensive quality management system (QMS). We assessed the accuracy of the ID NOW COVID-19 assay when operated in the context of these trainings and systems. This was done by comparing results from 9,518 paired tests, and strong agreement (κ = 0.88, OPA = 98.3%) was found between the ID NOW COVID-19 assay and laboratory-based NAATs. These findings indicate that the ID NOW COVID-19 assay can be used to detect SARS-CoV-2 in nontraditional laboratory settings when used within the context of a comprehensive QMS.

Voice onset time and vowel formant measures in online testing and laboratory-based testing with(out) surgical face masks

Since the COVID-19 pandemic started, conducting experiments online is increasingly common, and face masks are often used in everyday life. It remains unclear whether phonetic detail in speech production is captured adequately when speech is recorded in internet-based experiments or in experiments conducted with face masks. We tested 55 Spanish–Basque–English trilinguals in picture naming tasks in three conditions: online, laboratory-based with surgical face masks, and laboratory-based without face masks (control). We measured plosive voice onset time (VOT) in each language, the formants and duration of English vowels /iː/ and /ɪ/, and the Spanish/Basque vowel space. Across conditions, there were differences between English and Spanish/Basque VOT and in formants and duration between English /iː/–/ɪ/; between conditions, small differences emerged. Relative to the control condition, the Spanish/Basque vowel space was larger in online testing and smaller in the face mask condition. We conclude that testing online or with face masks is suitable for investigating phonetic detail in within-participant designs although the precise measurements may differ from those in traditional laboratory-based research.

Heart Rate-Blood Lactate Profiling in World-Class Biathletes During Cross-Country Skiing: The Difference Between Laboratory and Field Tests.

To identify differences in heart rate (HR) and concentration of blood lactate ([La]) relationships between laboratory- and field-based skate-roller-skiing tests. Fourteen world-class biathletes (8 women, 6 men) completed a laboratory- and field-based roller-skiing test using the skate technique. The laboratory-based test comprised 5 to 7 submaximal steps at a fixed incline and speed on a roller-skiing treadmill. The field-based test comprised 5 steps on a course where the final hill was designed to mimic the conditions of the laboratory test. HR and [La] were measured for each step. The HR associated with 2 mmol·L-1 (HR@2 mmol) and 4 mmol·L-1 (HR@4 mmol) of [La] was calculated using an interpolation method. A 1-way analysis of variance and Bland-Altman analyses with 95% limits of agreement (LoA) were used to determine if test type influenced HR@2 mmol or HR@4 mmol. A second-order polynomial was fitted to group-level data to highlight the HR-[La] relationships for laboratory- and field-based tests. HR@2 mmol was lower for field tests than for laboratory tests (mean bias: 1.9%HRmax; 95% LoA: -4.5 to +8.3%HRmax; P < .001). HR@4 mmol was also lower for field tests compared to laboratory tests (mean bias: 2.4%HRmax; 95% LoA: -1.2 to +6.0%HRmax; P < .001). On the group level, the lactate threshold occurred at a lower HR during roller skiing in the field compared to the laboratory. The findings from this study confirm that for a given HR, [La] was greater in field- compared with laboratory-based conditions. These results might have implications for how coaches define training-intensity "zones" during skate roller skiing based on laboratory tests.

Rapid HIV Self-Testing

&#x0D; Self-testing has become recognizable to most people in Canada as a way to reduce the spread of infections. HIV self-testing has recently become available in Canada and is an approach to HIV screening intended to complement existing HIV testing currently offered in medical and community settings. Self-test kits can be used in the home, alone or in the presence of another person, and they may help overcome barriers to HIV diagnosis, and help Canada achieve its commitments to end the HIV and AIDS epidemics by 2030.&#x0D; HIV self-testing is recommended by the WHO, used in countries worldwide. The INSTI HIV-1/2 Antibody Self Test is the first HIV self-test available in Canada. It is a single-use HIV test kit that detects HIV-1 and HIV-2 antibodies from a drop of blood collected by a fingerstick. In 50% of people, the test can detect HIV infection about 22 days after exposure, and in 99% of people can detect HIV infection 12 weeks (3 months) after infection.&#x0D; As the INSTI HIV-1/2 Antibody Self Test is intended as a screening test, a positive result must be confirmed with a laboratory-based test. If the result is negative, no further action is required unless the tester has had a potential HIV exposure in the previous 3 months. In this case, a person should self-test at a later date or seek a laboratory-based HIV test that is able to detect HIV in a shorter window of time since potential exposure.&#x0D; While the comparability of the INSTI HIV-1/2 Antibody Self Test with traditional lab testing has already been established, when used in real-world settings in Canada, there is a higher than-expected rate of invalid test results (that is, when the test does not produce a result and therefore another test must be taken). Improvements to the content, design, or delivery of the test instructions and other resource materials provided to testers have been offered as possible solutions.&#x0D; This report outlines information related to the INSTI HIV-1/2 Antibody Self Test use in Canada and issues for consideration when implementing an HIV self-testing program including cost, support for testers, and providing test access to groups who have historically had lower testing rates.&#x0D;

Continuous glucose monitoring has an increasing role in pre-symptomatic type 1 diabetes: advantages, limitations, and comparisons with laboratory-based testing.

Type 1 diabetes (T1D) is well-recognised as a continuum heralded by the development of islet autoantibodies, progression to islet autoimmunity causing beta cell destruction, culminating in insulin deficiency and clinical disease. Abnormalities of glucose homeostasis are known to exist well before the onset of typical symptoms. Laboratory-based tests such as the oral glucose tolerance test (OGTT) and glycated haemoglobin (HbA1c) have been used to stage T1D and assess the risk of progression to clinical T1D. Continuous glucose monitoring (CGM) can detect early glycaemic abnormalities and can therefore be used to monitor for metabolic deterioration in pre-symptomatic, islet autoantibody positive, at-risk individuals. Early identification of these children can not only reduce the risk of presentation with diabetic ketoacidosis (DKA), but also determine eligibility for prevention trials, which aim to prevent or delay progression to clinical T1D. Here, we describe the current state with regard to the use of the OGTT, HbA1c, fructosamine and glycated albumin in pre-symptomatic T1D. Using illustrative cases, we present our clinical experience with the use of CGM, and advocate for an increased role of this diabetes technology, for monitoring metabolic deterioration and disease progression in children with pre-symptomatic T1D.