Identifying desirable attributes in dairy-rich breakfast and desserts for older adults.

In the next decade, the US anticipates a rapid increase in the older adult population, who also face an increased risk for disease. To reduce this risk, research should explore increasing intake of nutrient-dense foods and prepared meals that include dairy foods and utilize novel food processing that better retain nutrients. This study identified attributes that older adults (age = 65+) desire in dairy-rich ready-to-eat breakfasts and desserts, two meals important in healthy aging. Two online choice-based conjoint analysis surveys were fielded (one for breakfast and one for dessert) to determine desirable attributes amongst respondents (breakfast n = 211; dessert n = 300). Breakfast concepts included protein source, primary ingredient, type of dairy, and health claim. Dessert concepts included primary flavor, primary sweetener, type of inclusion, and health claim. Breakfast results revealed the desirable attributes included "no meat" (utility value [UV] = 0.138), "eggs" (UV = 0.384), "cheese" (UV = 0.034), and "good source of fiber" (UV = 0.163). Two consumer clusters were identified with cluster 1 (n = 151) desiring "red meat" as the protein source and cluster 2 (n = 60) preferring "no meat." The majority of respondents (86%) indicated a willingness to consume foods processed with a novel technique. For the dessert meals, desirable attributes were "chocolate flavor" (UV = 0.638), "sugar" (UV = 0.859), "fruit inclusions" (UV = 0.522), and "heart-healthy" (UV = 0.453). Dessert consumer cluster 1 (n = 145) desired chocolate desserts sweetened with sugar, whereas cluster 2 (n = 155) desired vanilla desserts sweetened with honey. Participants who preferred oral manipulation of food via "smooshing" expressed a higher liking for desserts with no inclusions. These results provide insight for future product development for older adults involving dairy products or novel processing techniques. PRACTICAL APPLICATIONS: This study shows that both sensory attributes and health claims are important considerations when developing ready to eat meals for older adults. For breakfast, providing a vegetarian option is important while for desserts, both chocolate and vanilla remain popular options.

A Multiplex "Disposable Photonics" Biosensor Platform and Its Application to Antibody Profiling in Upper Respiratory Disease.

Photonic technologies promise to deliver quantitative, multiplex, and inexpensive medical diagnostic platforms by leveraging the highly scalable processes developed for the fabrication of semiconductor microchips. However, in practice, the affordability of these platforms is limited by complex and expensive sample handling and optical alignment. We previously reported the development of a disposable photonic assay that incorporates inexpensive plastic micropillar microfluidic cards for sample delivery. That system as developed was limited to singleplex assays due to its optical configuration. To enable multiplexing, we report a new approach addressing multiplex light I/O, in which the outputs of individual grating couplers on a photonic chip are mapped to fibers in a fiber bundle. As demonstrated in the context of detecting antibody responses to influenza and SARS-CoV-2 antigens in human serum and saliva, this enables multiplexing in an inexpensive, disposable, and compact format.

Blood-based screening for HPV-associated cancers.

Background: HPV-associated oropharyngeal cancer (HPV+OPSCC) is the most common HPV-associated cancer in the United States yet unlike cervical cancer lacks a screening test. HPV+OPSCCs are presumed to start developing 10-15 years prior to clinical diagnosis. Circulating tumor HPV DNA (ctHPVDNA) is a sensitive and specific biomarker for HPV+OPSCC. Taken together, blood-based screening for HPV+OPSCC may be feasible years prior to diagnosis. Methods: We developed an HPV whole genome sequencing assay, HPV-DeepSeek, with 99% sensitivity and specificity at clinical diagnosis. 28 plasma samples from HPV+OPSCC patients collected 1.3-10.8 years prior to diagnosis along with 1:1 age and gender-matched controls were run on HPV-DeepSeek and an HPV serology assay. Results: 22/28 (79%) of cases and 0/28 controls screened positive for HPV+OPSCC with 100% detection within four years of diagnosis and a maximum lead time of 7.8 years. We next applied a machine learning model classifying 27/28 cases (96%) with 100% detection within 10 years. Plasma-based PIK3CA gene mutations, viral genome integration events and HPV serology were used to orthogonally validate cancer detection with 68% (19/28) of the cohort having multiple cancer signals detected. Molecular fingerprinting of HPV genomes was performed across patients demonstrating that each viral genome was unique, ruling out contamination. In patients with tumor blocks from diagnosis (15/28), molecular fingerprinting was performed within patients confirming the same viral genome across time. Conclusions: We demonstrate accurate blood-based detection of HPV-associated cancers with lead times up to 10 years before clinical cancer diagnosis and in doing so, highlight the enormous potential of ctDNA-based cancer screening.

Analgesic switching in chronic users of dextropropoxyphene in France.

BACKGROUND: The combination dextropropoxyphene/paracetamol (DXP/P) was the most prescribed opioid analgesic until its withdrawal in 2011. OBJECTIVES: This study investigated dispensations of analgesics in chronic users of DXP/P during the 18 months following its withdrawal. METHODS: A cross-sectional study repeated yearly was conducted by using the French reimbursement database from 2006 to 2015. Chronic DXP/P users were defined as patients who received at least 40 boxes of DXP/P in the year prior to withdrawal. Data on analgesic dispensing were analyzed at DXP/P withdrawal (T0) and then every 6 months for 18 months. RESULTS: A total of 63 671 subjects had a DXP/P reimbursement in the year prior to its discontinuation, of whom 7.1% were identified as chronic users (mean age: 71.5 years, women: 68.7%). Among the patients taking DXP/P alone at T0 (74.6%), one fourth switched to a peripheral analgesic, one fourth to a combination of peripheral analgesic/opioid, one fourth to another opioid, and the others mainly discontinued their treatment (14.1%) or died. During the following 12 months, most of the subjects taking only peripheral analgesics continued this treatment, while half of the subjects with a combination of opioid/peripheral analgesic or taking only an analgesic remained on this type of treatment. CONCLUSION: Eighteen months after DXP/P withdrawal, more than 10% of patients stopped taking an analgesic. Vigilance is required regarding any change in analgesics by regularly reassessing patients' pain and, in the case of opioid treatments, by monitoring the risk of use disorders.

When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs?

Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.

Fathers, Breastfeeding, and Infant Sleep Practices: Findings From a State-Representative Survey.

OBJECTIVES: To assess infant breastfeeding initiation and any breastfeeding at 8 weeks and safe sleep practices (back sleep position, approved sleep surface, and no soft objects or loose bedding ["soft bedding"]) by select paternal characteristics among a state-representative sample of fathers with new infants. METHODS: Pregnancy Risk Assessment Monitoring System (PRAMS) for Dads, a novel population-based cross-sectional study, surveyed fathers in Georgia 2-6 months after their infant's birth. Fathers were eligible if the infant's mother was sampled for maternal PRAMS from October 2018 to July 2019. RESULTS: Of 250 respondents, 86.1% reported their infants ever breastfed and 63.4% reported breastfeeding at 8 weeks. Initiation and breastfeeding at 8 weeks were more likely to be reported by fathers who reported wanting their infant's mother to breastfeed than those who did not want her to breastfeed or had no opinion (adjusted prevalence ratio [aPR] = 1.39; 95% confidence interval [CI], 1.15-1.68; aPR = 2.33; 95% CI, 1.59-3.42, respectively) and fathers who were college graduates than those with ≤high school diploma (aPR = 1.25; 95% CI, 1.06-1.46; aPR = 1.44; 95% CI, 1.08-1.91, respectively). Although about four-fifths (81.1%) of fathers reported usually placing their infants to sleep on their back, fewer fathers report avoiding soft bedding (44.1%) or using an approved sleep surface (31.9%). Non-Hispanic Black fathers were less likely to report back sleep position (aPR = 0.70; 95% CI, 0.54-0.90) and no soft bedding (aPR = 0.52; 95% CI, 0.30-0.89) than non-Hispanic white fathers. CONCLUSIONS: Fathers reported suboptimal infant breastfeeding rates and safe sleep practices overall and by paternal characteristics, suggesting opportunities to include fathers in promotion of breastfeeding and infant safe sleep.

Urinary Dysfunction: Frequency, Risk factors, and Interventions in patients with Cancer during Acute Inpatient Rehabilitation.

Introduction: Urinary dysfunction has a strong impact clinically, socially, and economically. Although the development of acute urinary dysfunction in hospitalized patients with cancer is common in clinical practice, its occurrence and management strategies are scant in the literature. It has been reported as one of the more common medical complications in patients with cancer undergoing acute inpatient rehabilitation. This study assessed the frequency of and risk factors for acute urinary dysfunction among these patients and identified the interventions used for management. Methods: This is a retrospective study of consecutive patients admitted to a National Cancer Institute Comprehensive Cancer Center's acute inpatient rehabilitation service from 9/1/2020 through 3/15/2021. We excluded patients that were readmissions during the study time frame. We collected patients' demographic, clinical, and functional data. We defined acute urinary dysfunction as the development of any new urinary symptom(s) or diagnosis, which involved additional work-up and/or management after admission to the acute inpatient rehabilitation service. Results: Of the 176 total patients included in this study, 47 (27%; 95% confidence interval [CI], 20-34) patients had acute urinary dysfunction. The most frequent diagnoses were urinary tract infection (32%) and neurogenic bladder (26%). The most common tests were urine cultures (32%) and urinalyses (30%). The most commonly prescribed medications were antibiotics (32%) and alpha-1 blockers (15%). Other most frequent interventions included timed voiding (34%) and intermittent catheterization with bladder scans (28%). Acute urinary dysfunction was associated with an increased length of stay on the inpatient rehabilitation service (odds ratio [OR], 1.13; 95% CI, 1.06-1.20; P<.001), surgery during the index admission (OR, 2.50; 95% CI, 1.21-5.16; P=.014), and fecal incontinence (OR, 6.41; 95% CI, 1.83-22.44; P=.004). Conclusion: Acute urinary dysfunction was noted to be a substantial problem in this cohort. This is an overlooked dimension of inpatient cancer rehabilitation that deserves more attention. Patients at risk for acute urinary dysfunction may benefit from close monitoring for medical management and rehabilitation interventions to maximize functional independence with bladder care. More research regarding acute urinary dysfunction types and management approaches in post-acute care settings for patients with cancer is justified.

Biosensing with Silicon Nitride Microring Resonators Integrated with an On-Chip Filter Bank Spectrometer.

Wearable, mobile, and point-of-care (POC) sensors comprise a rapidly expanding field of devices aimed at improving human health by relaying real-time biometric data such as heart rate and glucose levels. The current scope of what these devices can offer healthcare is limited by their inability to measure biomarkers associated with inflammation, well-being, and disease. Photonic biosensors that integrate sensing elements directly with spectrometers, lasers, and detectors are an attractive approach to enabling POC sensors, with distinct advantages in terms of size, weight, power consumption, and cost. Here, we have demonstrated for the first time the integration of photonic microring resonator biosensors with an on-chip microring filter bank spectrometer for the controlled detection of inflammatory biomarker C-reactive protein (CRP) in serum. We demonstrate that sensor and spectrometer performance is tolerant of temperature variation, as temperature dependence moves in parallel. Finally, we assess the impact of manufacturing variability on the 300 mm wafer scale on the performance of the spectrometer. Taken together, these results suggest that integration of on-chip ring filter bank spectrometers with ring resonator-based biosensors constitutes an attractive approach toward cost-effective integrated sensor development.

Severe Maternal Morbidity in Georgia, 2009-2020.

BACKGROUND: The increasing focus of population surveillance and research on maternal-and not only fetal and infant-health outcomes is long overdue. The United States maternal mortality rate is higher than any other high-income country, and Georgia is among the highest rates in the country. Severe maternal morbidity (SMM) is conceived of as a "near miss" for maternal mortality, is 50 times more common than maternal death, and efforts to systematically monitor SMM rates in populations have increased in recent years. Much of the current population-based research on SMM has occurred in coastal states or large cities, despite substantial geographical variation with higher maternal and infant health burdens in the Southeast and rural regions. METHODS: This population-based study uses hospital discharge records linked to vital statistics to describe the epidemiology of SMM in Georgia between 2009 and 2020. RESULTS: Georgia had a higher SMM rate than the United States overall (189.2 vs. 144 per 10,000 deliveries in Georgia in 2014, the most recent year with US estimates). SMM was higher among racially minoritized pregnant persons and those at the extremes of age, of lower socioeconomic status, and with comorbid chronic conditions. SMM rates were 5 to 6 times greater for pregnant people delivering infants <1500 grams or <32 weeks' gestation as compared with those delivering normal weight or term infants. Since 2015, SMM has increased in Georgia. CONCLUSION: SMM represents a collection of life-threatening emergencies that are unevenly distributed in the population and require increased attention. This descriptive analysis provides initial guidance for programmatic interventions intending to reduce the burden of SMM and, subsequently, maternal mortality in the US South.

A photonic biosensor-integrated tissue chip platform for real-time sensing of lung epithelial inflammatory markers.

Tissue chip (TC) devices, also known as microphysiological systems (MPS) or organ chips (OCs or OoCs), seek to mimic human physiology on a small scale. They are intended to improve upon animal models in terms of reproducibility and human relevance, at a lower monetary and ethical cost. Virtually all TC systems are analyzed at an endpoint, leading to widespread recognition that new methods are needed to enable sensing of specific biomolecules in real time, as they are being produced by the cells. To address this need, we incorporated photonic biosensors for inflammatory cytokines into a model TC. Human bronchial epithelial cells seeded in a microfluidic device were stimulated with lipopolysaccharide, and the cytokines secreted in response sensed in real time. Sensing analyte transport through the TC in response to disruption of tissue barrier was also demonstrated. This work demonstrates the first application of photonic sensors to a human TC device, and will enable new applications in drug development and disease modeling.

Mental health as a family experience: Relationship of paternal characteristics with maternal perinatal depressive symptoms in a matched sample.

The present study investigates the relationship between perinatal maternal depressive symptoms and paternal factors using linked maternal-paternal survey data. From October 2018 to July 2019, among a representative sample and 2-6 months following the birth of an infant, mothers and fathers completed surveys and reported depressive symptoms. Results from the linked dyadic data (n = 243) show the prevalence of maternal depressive symptoms, both overall (16%) and by marital status and paternal health care involvement. Viewing mental health as a family experience may further understanding of postpartum maternal mental illness.

Analysis of a State Police Academy Menu Cycle for Dietary Quality and Performance Nutrition Adequacy.

Law enforcement officers have high rates of overweight and obesity. With diet as a leading risk factor, training academies present an opportunity for early-career nutrition intervention. Our purpose was to determine the dietary quality (DQ) and performance nutrition adequacy of a state police academy's cafeteria menu. This cross-sectional content analysis included six weeks (three daily meals, Monday-Friday) of a police academy menu. Nutrient content was determined by portioning menus, gathering food specifications, and performing nutrient analysis. DQ was assessed using the Healthy Eating Index (HEI) 2015. Statistical analyses included independent t-tests and Cohen's d. The total HEI score was 54/100. Subcomponent scores indicating adequacy included added sugar (5/5), total protein (4.97/5) and whole fruits (4.77/5). Seafood/plant proteins (0.33/5), fatty acid ratio (1.31/5), and dairy scores (1.59/10) needed significant improvement. The menu met the recommended intake for 13 of 19 nutrients investigated. Nutrients that did not meet adequacy were calories (% mean difference, needs-menu = 36.7%), carbohydrates (52.3%), vitamins D (82.5%) and E (66.7%), magnesium (44.1%), and potassium (41.8%). The academy menu leaves room for improvement in DQ and shortfall nutrients. By increasing low scores, the overall DQ of the menu will increase and supplement missing nutrients.

Outcomes after arthroscopic repair of rotator cuff tears in the setting of mild to moderate glenohumeral osteoarthritis.

BACKGROUND: Rotator cuff pathology is a very common source of shoulder pain. Similarly, osteoarthritis of the glenohumeral joint can cause shoulder pain and produce similar symptoms. Surgical management can be indicated for both pathologies, however, outcomes data is limited when examining rotator cuff repair (RCR) in the setting of glenohumeral arthritis (GHOA). Thus, this study sought to determine outcomes for patients who undergo RCR in the setting of GHOA. AIM: To evaluate if a relationship exists between outcomes of RCR in the setting of GHOA. METHODS: This was a retrospective analysis of patients who underwent arthroscopic rotator cuff repair with concurrent glenohumeral osteoarthritis between 2010-2017. Patients were stratified based on rotator cuff tear size and glenohumeral osteoarthritis severity. Cohorts were paired 1:1 with patients without glenohumeral osteoarthritis. Patients included had a minimum two year follow-up. Rate of conversion to total shoulder arthroplasty, complication rates following initial surgery, and patient-reported outcome measures were collected. RESULTS: A total of 142 patients were included. The number of patients that required total shoulder arthroplasty within two years after index surgery was low. 2/71 (2.8%) patients with GHOA, and 1/71 (1.4%) without GHOA. Following rotator cuff repair, both groups showed favorable patient-reported outcomes. CONCLUSION: Patients with glenohumeral osteoarthritis who underwent arthroscopic rotator cuff repair showed comparable outcomes to patients without glenohumeral osteoarthritis.

Pregnancy Risk Assessment Monitoring System for Dads: A piloted randomized trial of public health surveillance of recent fathers' behaviors before and after infant birth.

BACKGROUND: Becoming a father impacts men's health and wellbeing, while also contributing to the health and wellbeing of mothers and children. There is no large-scale, public health surveillance system aimed at understanding the health and behaviors of men transitioning into fatherhood. The purpose of this study was to describe piloted randomized approaches of a state-based surveillance system examining paternal behaviors before and after their infant's birth to better understand the health needs of men and their families during the transition to parenthood. METHODS: During October 2018-July 2019, 857 fathers in Georgia were sampled 2-6 months after their infant's birth from birth certificates files and surveyed via mail, online or telephone, in English or Spanish, using two randomized approaches: Indirect-to-Dads and Direct-to-Dads. Survey topics included mental and physical health, healthcare, substance use, and contraceptive use. FINDINGS: Weighted response rates (Indirect-to-Dads, 33%; Direct-to-Dads, 31%) and population demographics did not differ by approach. Respondents completed the survey by mail (58%), online (28%) or telephone (14%). Among 266 fathers completing the survey, 55% had a primary care physician, and 49% attended a healthcare visit for themselves during their infant's mother's pregnancy or since their infant's birth. Most fathers were overweight or had obesity (70%) while fewer reported smoking cigarettes (19%), binge drinking (13%) or depressive symptoms (10%) since their infant's birth. CONCLUSIONS: This study tests a novel approach for obtaining population-based estimates of fathers' perinatal health behaviors, with comparable response rates from two pragmatic approaches. The pilot study results quantify a number of public health needs related to fathers' health and healthcare access.

Influence of mobility restrictions on air quality in the historic center of Cuenca city and its inference on the Covid-19 rate infections.

At the end of 2019 in Wuhan China city, the outbreak of the virus called SARS-CoV 2 was originated, which later became a pandemic. In Ecuador, patient zero arrived on February 14, 2020 and the first mobility restriction imposed by the Government occurred on Tuesday, March 17 of the same year. Throughout the confinement, vehicle mobility restrictions have been modified by government entities depending on the number of infected people. This article presents an air quality study in the historic center of Cuenca city as consequence of mobility changes caused by Covid-19, where a comparison of concentration levels of polluting gases of the first semester of 2018, 2019 and 2020 is made, that allow differentiating and identifying the influence of vehicular flow on air quality. It can also be verified how the decrease in vehicle mobility restrictions influenced the increase in the rate of daily infections. For the study, air quality data published by the public mobility company of the city of Cuenca (EMOV EP) and the communications issued by the Emergency Operations Committee (COE), before and during the confinement, were collected. The acquisition, classification, analysis and interpretation of the data obtained through machine learning techniques was carried out. It can be concluded that while mobility restrictions were more severe, air quality improved and infections rate of decrease. Obtaining that polluting gases such as NO2 and CO produced by vehicular traffic show correlations of 61% and 60% respectively, which means that after 15 days of lifting the restrictive measures, the pollutants increased as well as the number of infected.

A Comparison of Perceived Lifetime Breast Cancer Risk to Calculated Lifetime Risk Using the Gail Risk Assessment Tool.

Background: Understanding the accuracy of a woman's perceived breast cancer risk can enhance shared decision-making about breast cancer screening through provider and patient discussion. We aim to report and compare women's perceived lifetime breast cancer risk to calculated lifetime breast cancer risk. Methods: Women presenting to Mayo Clinic in Arizona and Minnesota in July 2016 completed a survey assessing their perceived breast cancer risk. Lifetime Gail risk scores were calculated from questions pertaining to health history and were then compared with perceived breast cancer risk. Results: A total of 550 predominantly white, married, and well-educated (≥college) women completed surveys. Using lifetime Gail risk scores, 5.6% were classified as high risk (>20% lifetime risk), 7.7% were classified as intermediate risk (15%-20%), and 86.6% were classified as average risk (<15%). Of the 27 women who were classified as high risk, 18 (66.7%) underestimated their risk and of the 37 women who were intermediate risk, 12 (32.4%) underestimated risk. Women more likely to underestimate their risk had a reported history of an abnormal mammogram and at least one or more relative with a history of breast cancer. Surveyed women tended to overestimate risk 4.3 (130/30) times as often as they underestimated risk. Conclusion: In a group of predominantly white, educated, and married cohort of women, there was a large portion of women in the elevated risk groups who underestimated risk. Specific aspects of medical history were associated with underestimation including a history of abnormal mammogram and family history of breast cancer. Overall, in our sample, more women overestimated than underestimated risk.

Disposable photonics for cost-effective clinical bioassays: application to COVID-19 antibody testing.

Decades of research have shown that biosensors using photonic circuits fabricated using CMOS processes can be highly sensitive, selective, and quantitative. Unfortunately, the cost of these sensors combined with the complexity of sample handling systems has limited the use of such sensors in clinical diagnostics. We present a new "disposable photonics" sensor platform in which rice-sized (1 × 4 mm) silicon nitride ring resonator sensor chips are paired with plastic micropillar fluidic cards for sample handling and optical detection. We demonstrate the utility of the platform in the context of detecting human antibodies to SARS-CoV-2, both in convalescent COVID-19 patients and for subjects undergoing vaccination. Given its ability to provide quantitative data on human samples in a simple, low-cost single-use format, we anticipate that this platform will find broad utility in clinical diagnostics for a broad range of assays.

Wide Variation in Methodology in Level I and II Studies on Cartilage Repair: A Systematic Review of Available Clinical Trials Comparing Patient Demographics, Treatment Means, and Outcomes Reporting.

BACKGROUND: The management of complex cartilage pathology in young, otherwise healthy patients can be difficult. PURPOSE: To determine the nature of the design, endpoints chosen, and rate at which the endpoints were met in published studies and ongoing clinical trials that investigate cartilage repair and restoration procedures. STUDY DESIGN: Systematic review. METHODS: A systematic review of the publicly available level I/II literature and of the publicly listed clinical trials regarding cartilage repair and restoration procedures for the knee was conducted adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: Seventeen published studies and 52 clinical trials were included. Within the 17 published studies, the most common procedure studied was microfracture (MFX) + augmentation (N = 5; 29.4%) and the most common comparison/control group was MFX (N = 10; 58.8%). In total, 13 different cartilage procedure groups were evaluated. For published studies, the most common patient-reported outcome (PRO) measures assessed is the Knee Injury and Osteoarthritis Outcome Score (KOOS) and Visual Analog Scale-Pain (VAS) (N = 10 studies, 58.8% each, respectively). Overall, there are 10 different PROs used among the included studies. Ten studies demonstrate superiority, 5 demonstrate noninferiority, and 2 demonstrate inferiority to the comparison or control groups. For the clinical trials included, the most common procedure studied is MFX + augmentation (N = 16; 30.8%). The most common PRO assessed is KOOS (N = 36 trials; 69.2%), and overall there are 24 different PROs used among the included studies. CONCLUSIONS: Recently published studies and clinical trials evaluate a variety of cartilage repair and restoration strategies for the knee, most commonly MFX + augmentation, at various time points of outcome evaluation, with KOOS and VAS scores being used most commonly. MFX remains the most common comparison group for these therapeutic investigations. Most studies demonstrate superiority versus comparison or control groups. Understanding the nature of published and ongoing clinical trials will be helpful in the investigation of emerging technologies required to navigate the regulatory process while studying a relatively narrow population of patients.

Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients.

Detection of antibodies to upper respiratory pathogens is critical to surveillance, assessment of the immune status of individuals, vaccine development, and basic biology. The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of antibodies to SARS-CoV-2, SARS-CoV-1, MERS, three circulating coronavirus strains (HKU1, 229E, OC43) and three strains of influenza. We find that the array is readily able to distinguish uninfected from convalescent COVID-19 subjects, and provides quantitative information about total Ig, as well as IgG- and IgM-specific responses.

Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA.

It is imperative to advance our understanding of heterogeneities in the transmission of SARS-CoV-2 such as age-specific infectiousness and superspreading. To this end, it is important to exploit multiple data streams that are becoming abundantly available during the pandemic. In this paper, we formulate an individual-level spatiotemporal mechanistic framework to integrate individual surveillance data with geolocation data and aggregate mobility data, enabling a more granular understanding of the transmission dynamics of SARS-CoV-2. We analyze reported cases, between March and early May 2020, in five (urban and rural) counties in the state of Georgia. First, our results show that the reproductive number reduced to below one in about 2 wk after the shelter-in-place order. Superspreading appears to be widespread across space and time, and it may have a particularly important role in driving the outbreak in rural areas and an increasing importance toward later stages of outbreaks in both urban and rural settings. Overall, about 2% of cases were directly responsible for 20% of all infections. We estimate that the infected nonelderly cases (<60 y) may be 2.78 [2.10, 4.22] times more infectious than the elderly, and the former tend to be the main driver of superspreading. Our results improve our understanding of the natural history and transmission dynamics of SARS-CoV-2. More importantly, we reveal the roles of age-specific infectiousness and characterize systematic variations and associated risk factors of superspreading. These have important implications for the planning of relaxing social distancing and, more generally, designing optimal control measures.