Comparison of digitally assessed quality of posterior crown preparations performed with and without previous practice on patient-specific three-dimensional-printed teeth models.

INTRODUCTION: Three-dimensional (3D)-printing technology can provide customizable simulations, but its effects on patient care quality have not been well studied. This study aimed to assess the impact of practicing with patient-specific 3D-printed teeth models on the quality of patients' dental preparations performed by students transitioning to clinical training. Accordingly, the quality of posterior crown preparations was evaluated by objectively analyzing digital scans and grades in two groups: the study group, which practiced beforehand with patient-specific 3D-printed teeth models, and the control group, which did not practice with these models. METHODS: All 78 fourth-year dental students who had just finished their fixed prosthodontics course at the simulation laboratory with training on phantom heads and without previous clinical experience in crown preparations were invited to participate in the study. Sixty-eight agreed to take part and were randomly divided into a study group that practiced crown preparations on 3D-printed models of their own patient's teeth and a control group that did not practice with 3D-printed models and started their clinical work straightforwardly after simulation training. Students completed validated perception questionnaires on self-confidence and clinical skills before and after the protocol, which were compared using a chi-squared test. Crown preparations performed on 3D-printed models and then on patients were digitally scanned and objectively graded by prepCheck software for critical parameters, such as undercuts, taper, and occlusion reduction. Non-parametric tests were used to compare preparations on 3D-printed models and on patients performed by the study group and those on patients made by the control group. RESULTS: Initially, both groups reported similar perceptions of self-confidence and clinical skills levels. The study group significantly improved both aspects after the protocol. Analysis of the scanned preparations demonstrated that the study group removed less tooth structure from actual patients than from the initial 3D-printed models. In contrast, the control group showed excess occlusal clearance in their patients compared to the study group. CONCLUSIONS: Practicing patient-specific 3D-printed teeth before performing procedures clinically appears to enhance preparation quality and minimize unnecessary tooth reduction in early clinical experiences.

Evaluation of hemostatic devices in a randomized porcine model of junctional hemorrhage and 72-hour prolonged field care.

BACKGROUND: Hemorrhage control in prolonged field care (PFC) presents unique challenges that drive the need for enhanced point of injury treatment capabilities to maintain patient stability beyond the Golden Hour. To address this, two hemostatic agents, Combat Gauze (CG) and XSTAT, were evaluated in a porcine model of uncontrolled junctional hemorrhage for speed of deployment and hemostatic efficacy over 72 hours. METHODS: The left subclavian artery and subscapular vein were isolated in anesthetized male Yorkshire swine (70-85 kg) and injured via 50% transection, followed by 30 seconds of hemorrhage. Combat Gauze (n = 6) or XSTAT (n = 6) was administered until bleeding stopped and remained within subjects for observation over 72 hours. Physiologic monitoring, hemostatic efficacy, and hematological parameters were measured throughout the protocol. Gross necropsy and histology were performed following humane euthanasia. RESULTS: Both CG and XSTAT maintained hemostasis throughout the full duration of the protocol. There were no significant differences between groups in hemorrhage volume (CG: 1021.0 ± 183.7 mL vs. XSTAT: 968.2 ± 243.3 mL), total blood loss (CG: 20.8 ± 2.7% vs. XSTAT: 20.1 ± 5.1%), or devices used (CG: 3.8 ± 1.2 vs. XSTAT: 5.3 ± 1.4). XSTAT absorbed significantly more blood than CG (CG: 199.5 ± 50.3 mL vs. XSTAT: 327.6 ± 71.4 mL) and was significantly faster to administer (CG: 3.4 ± 1.6 minutes vs. XSTAT: 1.4 ± 0.5 minutes). There were no significant changes in activated clot time, prothrombin time, or international normalized ratio between groups or compared with baseline throughout the 72-hour protocol. Histopathology revealed no evidence of microthromboemboli or disseminated coagulopathies across evaluated tissues in either group. CONCLUSION: Combat Gauze and XSTAT demonstrated equivalent hemostatic ability through 72 hours, with no overt evidence of coagulopathies from prolonged indwelling. In addition, XSTAT offered significantly faster administration and the ability to absorb more blood. Taken together, XSTAT offers logistical and efficiency advantages over CG for immediate control of junctional noncompressible hemorrhage, particularly in a tactical environment. In addition, extension of indicated timelines to 72 hours allows translation to PFC.

An ABC approach to cardiothoracic complications and sequelae of COVID-19: a tertiary centre experience.

The Coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused unprecedented challenges to healthcare professionals (HCPs) worldwide. HCPs faced an unknown disease causing many complications, including now well-established acute respiratory distress syndrome (ARDS) and pulmonary artery thromboembolic disease, and some not so well known, for instance, tracheobronchomalacia, tracheal tear or dehiscence, granulation tissue formation and pulmonary hypertension. Many of these complications require highly specialist care warranting early recognition of complications and involvement of appropriately trained professionals. Here, we review the complications and sequelae encountered at our tertiary care centre with follow-up data and potential management strategies using the A (Airway), B (Breathing), C (Circulation) approach. This will not only familiarise HCPs with the different complications of COVID-19, but also arm them with a systematic approach to these complications.

Virtual avatars as a new tool for human immunodeficiency virus prevention among men who have sex with men: a narrative review.

Background and Objective: Human immunodeficiency virus (HIV) continues to affect sexual and gender minorities, predominantly men who have sex with men (MSM). Stigma, medical mistrust, and apprehension towards discussing sexual health with one's medical provider are significant barriers in seeking or accessing preventive services. Those obstacles could be surpassed through novel digital and electronic health interventions, specifically with virtual avatar technology. Avatars are digital self-representative agents that are controlled with an interactive electronic device. Avatars allow for virtual self-immersion within infinitely customizable environments to practice skill building, fostering relationships and more, through an optional incognito approach. The objective of this narrative review is to examine recent uses of and developments in avatar technology, highlight the personalization attribute of this technology, and evaluate its strengths and limitations as a tool for HIV prevention among MSM. Methods: We reviewed recent scientific literature generated by PubMed that use virtual avatar technology in HIV prevention and treatment among populations put at risk. Articles that met the inclusion criteria were then categorized on how the avatar technology was used. Key Content and Findings: We identified eleven studies that met inclusion criteria. Avatar technology was found to create a comfortable environment for participants to address and discuss their sexual behaviors with less hesitation. Avatars can build rapport with populations put at high risk, creating an opportunity for reevaluation of their sexual behavior while assisting them in being able seek information, preventive services, or treatment for HIV or other sexually transmitted infections (STIs). Conclusions: Given the increased use of digital technology in health and prevention, avatars might be useful in sexual health education and HIV prevention among populations put at risk. The benefits and potential in utilizing this technology for HIV prevention are highlighted.

FOxTROT2: innovative trial design to evaluate the role of neoadjuvant chemotherapy for treating locally advanced colon cancer in older adults or those with frailty.

Treating older adults with cancer is increasingly important in modern oncology practice. However, we currently lack the high-quality evidence needed to guide optimal management of this heterogeneous group. Principally, historic under-recruitment of older adults to clinical trials limits our understanding of how existing evidence can be applied to this group. Such uncertainty is particularly prevalent in the management of colon cancer (CC). With CC being most common in older adults, many patients also suffer from frailty, which is recognised as being strongly associated with poor clinical outcomes. Conducting clinical trials in older adults presents several major challenges, many of which impact the clinical relevance of results to a real-world population. When considering this heterogeneous group, it may be difficult to define the target population, recruit participants effectively, choose an appropriate trial design, and ensure participants remain engaged with the trial during follow-up. Furthermore, after overcoming these challenges, clinical trials tend to enrol highly selected patient cohorts that comprise only the fittest older patients, which are not representative of the wider population. FOxTROT1 was the first phase III randomised controlled trial to illustrate the benefit of neoadjuvant chemotherapy (NAC) in the treatment of CC. Patients receiving NAC had greater 2-year disease-free survival compared to those proceeding straight to surgery. Outcomes for older adults in FOxTROT1 were similarly impressive when compared to their younger counterparts. Yet, this group inevitably represents a fitter subgroup of the older patient population. FOxTROT2 has been designed to investigate NAC in a full range of older adults with CC, including those with frailty. In this review, we describe the key challenges to conducting a robust clinical trial in this heterogeneous patient group, highlight our strategies for overcoming these challenges in FOxTROT2, and explain how we hope to provide clarity on the optimal treatment of CC in older adults.

Socioeconomic impact and burden of hypertension in the Philippines projected in 2050.

Hypertension has remained the number one cause of cardiovascular death in the Philippines for over three (3) decades. Despite this finding, the burden accounted for by hypertension is investigated to a lesser extent. We performed this study to determine the socioeconomic impact of hypertension in the Philippines, and it was projected in the next 30 years. We gathered primary data through interviews, Labor Force Survey (N = 806), and secondary data from various government published reports. The cost of illness (COI) was calculated using the direct morbidity and mortality costs. The impact (% of respondents) of uncontrolled hypertension on productivity at work showed the following; four (4) days missing work (72%) and ten (10) days lost of productivity (63%). The impact (% of respondents) of uncontrolled hypertension on productivity at home showed the following: six (6) days of household suspended (66%), eleven (11) days reduced household work (78%), and five (5) days affected social activity (60%). The productivity loss of premature mortality accounts for 17% of the total economic burden in 2020 and will increase to 20% by 2050. In 2020, 70% of the total economic burden was accounted for direct & indirect care. At its present value, the economic cost of hypertension is expected to increase from US$1 billion in 2020 to US$1.9 billion by 2050. The socioeconomic impact of uncontrolled hypertension in the Philippines was enormous, challenging, and overwhelming for the next 30 years.

Anti-Asian Attitudes in the Context of the COVID-19 Pandemic: an Exploratory Study.

OBJECTIVE: The purpose of this paper was to measure if people with greater "structural literacy," as indicated by greater awareness of racial and socioeconomic disparities in COVID-19 impact, would hold fewer negative attitudes against those perceived to be Asian in the context of the COVID-19 pandemic. METHODS: A survey was administered between April and August 2020 to participants from two longitudinal cohorts in New York State. The survey assessed anti-Asian attitudes relating to COVID-19, awareness of racial and socioeconomic disparities in COVID-19, residential location, socioeconomic status, and other demographic information. The sample included 233 Black, Latinx, and White midlife adults from urban, suburban, and rural New York neighborhoods. Multivariable regression modeling was used to assess associations between COVID-19 disparities awareness, an indicator of structural literacy, and anti-Asian attitudes, adjusting for gender, race/ethnicity, residential location, and socioeconomic disadvantage. RESULTS: Greater awareness of disparities in COVID-19 was associated with lower levels of anti-Asian attitudes after adjustment (adj-slope = - 0.358, p < 0.001). CONCLUSION: Greater structural literacy, as measured by awareness of socioeconomic and racial disparities in COVID-19 impact, was associated with fewer anti-Asian attitudes among Black, Latinx, and White adults. IMPLICATIONS: Increasing structural literacy may reduce anti-Asian attitudes that motivate harmful acts against oppressed groups.

[An intracranial haemorrhage in a febrile newborn]. / L'image du mois. Une hémorragie intracrânienne chez un nouveau-né fébrile.

A 15 days old newborn was admitted to the emergency room for a recent fever onset. In newborns, the priority is to rule out any bacterial infection and initiate broad spectrum antibiotics. The hemorrhagic appearance of the cerebrospinal fluid after lumbar puncture can sometimes be the only sign to suspect, other than obvious infectious aetiology, an intracranial haemorrhage.

: Un nouveau-né de 15 jours est admis en salle d'urgence pour de la fièvre. Au vu de l'immaturité immunitaire des nouveau-nés et selon les recommandations internationales, la priorité est d'exclure une infection d'origine bactérienne et d'administrer une antibiothérapie intraveineuse empirique. Lors de la réalisation du bilan étiologique, l'aspect hémorragique du liquide céphalo-rachidien peut être le témoin d'un syndrome méningé d'étiologie autre qu'infectieuse, et notamment d'une hémorragie intracérébrale.

Quantum cascade lasers monolithically integrated on germanium.

Silicon (Si) photonics can have a major impact on the development of mid-IR photonics by leveraging on the reliable and high-volume fabrication technologies already developed for microelectronic integrated circuits. Germanium (Ge), already used in Si photonics, is a prime candidate to extend the operating wavelength of Group IV-based photonic integrated circuits beyond 8 µm, and potentially up to 15 µm. High performance quantum cascade lasers (QCLs) and interband cascade lasers grown on Si have been demonstrated, whereas no QCLs monolithically integrated on Ge have been reported yet. In this work, we present InAs-based QCLs directly grown on Ge by molecular beam epitaxy. The lasers emitting near 14 µm exhibited threshold current densities as low as 0.8-0.85 kA/cm2 at room temperature.

[Rare complication of a dog bite: Capnocytophaga species bacteremia followed by an hemolytic uremic syndrome]. / Cas clinique. Complication méconnue des morsures canines : syndrome hémolytique et urémique suite à une bactériémie à Capnocytophaga Canimorsus.

Dog bites are a frequent reason for medical consultation. These can be responsible for severe infectious complications. Bacteria of the genus Capnocytophaga species are Gram-negative bacilli commonly found in the oral cavity of certain animals such as dogs and cats. Following a dog bite or wound contamination with animal spit, these bacteria can cause local (cellulitis), systemic and invasive manifestations (bacteremia, endocarditis, meningitis) or lead to rare and dreadful complications such as thrombotic microangiopathies. The identification of Capnocytophaga is slow due to their specific characteristics and their culture conditions. The treatment of Capnocytophaga species infections is based on antibiotic therapy with amoxicillin - clavulanic acid as the first choice. Although different types of Capnocytophaga have been described, C. Canimorsus appears to be associated with a higher rate of atypical complications. Here is the description of an immunocompetent patient who presented with C. Canimorsus bacteremia complicated by hemolytic uremic syndrome following a dog bite.

Les morsures de chien représentent un motif fréquent de consultation. Celles-ci peuvent entraîner des complications infectieuses graves. Les bactéries du genre Capnocytophaga species sont des bacilles Gram négatif fréquemment retrouvés dans la cavité buccale de certains animaux comme les chiens et les chats. à la suite d'une morsure canine ou d'une contamination de plaie par de la salive animale, ces bactéries peuvent provoquer des manifestations locales (cellulite), systémiques et invasives (bactériémie, endocardite, méningite) ou entraîner des complications rares et redoutables comme les microangiopathies thrombotiques. L'identification des Capnocytophaga est lente de par leurs caractéristiques propres et leurs conditions de mise en culture. Le traitement des infections à Capnocytophaga species repose sur une antibiothérapie par amoxicilline-acide clavulanique en première intention. Bien que différents types de Capnocytophaga aient été décrits, C. Canimorsus semble associé à un taux plus élevé de complications atypiques. Nous décrivons ici le cas d'une patiente immunocompétente ayant présenté une bactériémie à C. Canimorsus compliquée d'un syndrome hémolytique et urémique dans les suites d'une morsure de chien.

A Brief History of Human Challenge Studies (1900-2021) Emphasising the Virology, Regulatory and Ethical Requirements, Raison D'etre, Ethnography, Selection of Volunteers and Unit Design.

Venetian quarantine 400 years ago was an important public health measure. Since 1900 this has been refined to include "challenge" or deliberate infection with pathogens be they viruses, bacteria, or parasites. Our focus is virology and ranges from the early experiments in Cuba with Yellow Fever Virus to the most widespread pathogen of our current times, COVID-19. The latter has so far caused over four million deaths worldwide and 190 million cases of the disease. Quarantine and challenge were also used to investigate the Spanish Influenza of 1918 which caused over 100 million deaths. We consider here the merits of the approach, that is the speeding up of knowledge in a practical sense leading to the more rapid licensing of vaccines and antimicrobials. At the core of quarantine and challenge initiatives is the design of the unit to allow safe confinement of the pathogen and protection of the staff. Most important though is the safety of volunteers. We can see now, as in 1900, that members of our society are prepared and willing to engage in these experiments for the public good. Our ethnology study, where the investigator observed the experiment from within the quarantine, gave us the first indication of changing attitudes amongst volunteers whilst in quarantine. These quarantine experiments, referred to as challenge studies, human infection studies, or "controlled human infection models" involve thousands of clinical samples taken over two to three weeks and can provide a wealth of immunological and molecular data on the infection itself and could allow the discovery of new targets for vaccines and therapeutics. The Yellow Fever studies from 121 years ago gave the impetus for development of a successful vaccine still used today whilst also uncovering the nature of the Yellow Fever agent, namely that it was a virus. We outline how carefully these experiments are approached and the necessity to have high quality units with self-contained air-flow along with extensive personal protective equipment for nursing and medical staff. Most important is the employment of highly trained scientific, medical and nursing staff. We face a future of emerging pathogens driven by the increasing global population, deforestation, climate change, antibiotic resistance and increased global travel. These emerging pathogens may be pathogens we currently are not aware of or have not caused outbreaks historically but could also be mutated forms of known pathogens including viruses such as influenza (H7N9, H5N1 etc.) and coronaviruses. This calls for challenge studies to be part of future pandemic preparedness as an additional tool to assist with the rapid development of broad-spectrum antimicrobials, immunomodulators and new vaccines.

Students' and tutors' perceptions of a deliberate simulated practice using patient-specific virtual and three-dimensional printed teeth models: A pilot study.

OBJECTIVE: This pilot study aimed to investigate the perceptions of dental students and their tutors of a deliberate simulated practice using patient-specific virtual and three-dimensional (3D) printed teeth models. This is before they perform their first indirect posterior tooth restoration on their patients. METHODS: Seventy-eight fourth-year dental students from the 2021 Comprehensive Clinic I course at the University of the Andes, Chile, were invited to participate in a deliberate practice protocol. This consisted of digitally scanning their patients' teeth, printing the files three-dimensionally, and loading them into a virtual reality (VR) dental simulator to create patient-specific models. Subsequently, they practiced the same indirect posterior restorations on these models before performing them on their actual patients. Perceptions about students' preparedness to perform tooth preparations before and after the protocol were collected from students and their tutors through surveys. RESULTS: Sixty-three students (43 female) and six clinical tutors (all male) participated in the study. Before practicing with their patient-specific models, most students believed they had the knowledge, practical skills, and self-confidence to perform indirect restorations on their patients. However, after the protocol, most students thought their self-confidence increased and felt better prepared to treat their patients. Most students preferred the 3D-printed models over the VR models to practice but mentioned that it did not feel like drilling dental enamel. Tutors believed that participating students had higher self-confidence when treating their patients and were more autonomous. CONCLUSIONS: This study demonstrated that students and clinical tutors had positive perceptions of practicing with patient-specific virtual and 3D-printed teeth models before students performed their first indirect restorations on their patients.

Damage Classification Using Supervised Self-Organizing Maps in Structural Health Monitoring.

Improvements in computing capacity have allowed computers today to execute increasingly complex tasks. One of the main benefits of these improvements is the possibility of developing machine learning algorithms, of which the fields of application are extensive and varied. However, an area in which this type of algorithms acquires an increasing relevance is structural health monitoring (SHM), where inspection strategies and guided wave-based approaches make the evaluation of the structural conditions of an aircraft, vessel or building among others possible, by detecting and classifying existing damages. The use of sensors, data acquisition systems (DAQ) and computation has also allowed these damage detection and classification tasks to be carried out automatically. Despite today's advances, it is still necessary to continue with the development of more robust, reliable, and low-cost structural health monitoring systems. For this reason, this work contemplates three key points: (i) the configuration of a data acquisition system for signal gathering from an an active piezoelectric (PZT) sensor network; (ii) the development of a damage classification methodology based on signal processing techniques (normalization and PCA), from which the models that describe the structural conditions of the plate are built; and (iii) the use of machine learning algorithms, more specifically, three variants of the self-organizing maps called CPANN (counterpropagation artificial neural network), SKN (supervised Kohonen) and XYF (X-Y fused Kohonen). The data obtained allowed one to carry out an experimental validation of the damage classification methodology, to determine the presence of damages in two aluminum plates of different sizes, where masses were added to change the vibrational responses captured by the sensor network and a composite (CFRP) plate with real damages, such as delamination and cracks. This classification methodology allowed one to obtain excellent results by validating the usefulness of the SKN and XYF networks in damage classification tasks, showing overall accuracies of 73.75% and 72.5%, respectively, according to the cross-validation process. These percentages are higher than those obtained in comparison with other neural networks such as: kNN, discriminant analysis, classification trees, partial least square discriminant analysis, and backpropagation neural networks, when the cross-validation process was applied.

Crisis Intervention Team (CIT) training and impact on mental illness and substance use-related stigma among law enforcement.

Limited empirical data and research exists about stigmatizing attitudes and perceptions held by law enforcement officers towards persons with mental illness and substance use issues. Pre- and post-training survey data from 92 law enforcement personnel who attended a 40-hour Crisis Intervention Team (CIT) training was used to investigate training-related changes in mental illness stigma and substance use stigma. Training participant's mean age was 38.35 ± 9.50 years, majority white non-Hispanic race/ethnicity (84.2%), male gender (65.2%), and reported job category as road patrol (86.9%). Pre-training, 76.1% endorsed at least one stigmatizing attitude towards people with mental illness, and 83.7% held a stigmatizing attitude towards those with substance use problems. Poisson regression revealed that working road patrol (RR=0.49, p<0.05), awareness of community resources (RR=0.66, p<0.05), and higher levels of self-efficacy (RR=0.92, p<0.05) were associated with lower mental illness stigma pre-training. Knowledge of communication strategies (RR=0.65, p<0.05) was associated with lower pre-training substance use stigma. Post-training, improvement in knowledge of community resources and increases in self-efficacy were significantly associated with decreases in both mental illness and substance use stigma. These findings highlight the existence of stigma related to both mental illness and substance use pre-training suggesting the need for implicit and explicit bias training prior to the start of active law enforcement duty. These data are consistent with prior reports indicating CIT trainings as a path to address mental illness and substance use stigma. Further research on effects of stigmatizing attitudes and additional stigma-specific training content is warranted.

Deep Learning for Radiotherapy Outcome Prediction Using Dose Data - A Review.

Artificial intelligence, and in particular deep learning using convolutional neural networks, has been used extensively for image classification and segmentation, including on medical images for diagnosis and prognosis prediction. Use in radiotherapy prognostic modelling is still limited, however, especially as applied to toxicity and tumour response prediction from radiation dose distributions. We review and summarise studies that applied deep learning to radiotherapy dose data, in particular studies that utilised full three-dimensional dose distributions. Ten papers have reported on deep learning models for outcome prediction utilising spatial dose information, whereas four studies used reduced dimensionality (dose volume histogram) information for prediction. Many of these studies suffer from the same issues that plagued early normal tissue complication probability modelling, including small, single-institutional patient cohorts, lack of external validation, poor data and model reporting, use of late toxicity data without taking time-to-event into account, and nearly exclusive focus on clinician-reported complications. They demonstrate, however, how radiation dose, imaging and clinical data may be technically integrated in convolutional neural networks-based models; and some studies explore how deep learning may help better understand spatial variation in radiosensitivity. In general, there are a number of issues specific to the intersection of radiotherapy outcome modelling and deep learning, for example translation of model developments into treatment plan optimisation, which will require further combined effort from the radiation oncology and artificial intelligence communities.

Smoothing temperature and ratio of casein to whey protein: Two tools to improve nonfat stirred yogurt properties.

Consumers are not always ready to compromise on the loss of texture and increased syneresis that nonfat stirred yogurts display compared with yogurts that contain fat. In this study, we investigated milk protein composition and smoothing temperature as a means to control nonfat yogurt microstructure, textural properties, and syneresis. Yogurts were prepared with different ratios of casein to whey protein (R1.5, R2.8, and R3.9). Yogurts were pumped through a smoothing pilot system comprising a plate heat exchanger set at 15, 20, or 25°C and then stored at 4°C until analysis (d 1, 9, and 23). Yogurt particle size and firmness were measured. Yogurt syneresis and water mobility were determined, respectively, by centrifugation and time domain low-frequency proton nuclear magnetic resonance (1H-LF-NMR). Increasing the smoothing temperature increased gel firmness and microgel (dense protein aggregates) sizes independently of the whey protein content. Also, yogurt microgel sizes changed with storage time, but the evolution pattern depended on protein ratio. Yogurt R1.5 showed the largest particles, and their sizes increased with storage, whereas R2.8 and R3.9 had smaller microgels, and R3.9 did not show any increase in microgel size during storage. Micrographs showed a heterogeneous gel with the empty area occupied by serum for R1.5, whereas R2.8 and R3.9 showed fewer serum zones and a more disrupted gel embedding microgels. Induced syneresis reduced with greater whey protein content and time of storage. This is in agreement with 1H-LF-NMR showing less bulk water mobility with increasing whey protein content during storage. However, 1H-LF-RMN revealed higher values of spontaneous serum separation during storage for R1.5 and R3.9 yogurts, whereas these were lower and stable for R2.8 yogurt. Microgels play an important structural role in yogurt textural attributes, and their characteristics are modulated by whey protein content and smoothing temperature. Optimization of these parameters may help improve nonfat stirred dairy gel.

Duloxetine for the Treatment of Chronic Low Back Pain: A Systematic Review of Randomized Placebo-Controlled Trials.

This systematic review determines the efficacy and safety of duloxetine for chronic low back pain (CLBP). We queried the PubMed, SCOPUS, and Ovid MEDLINE databases. All level I and II randomized controlled studies published in the English language investigating the efficacy of duloxetine for chronic low back pain were included. Five studies (832 duloxetine-treated patients, 667 placebo-treated patients, and 41 duloxetine and placebo crossover analysis patients) were analyzed. One study was level I evidence and four studies were level II evidence. All five studies reported statistically significant improvements in more than one back-pain-specific clinical outcome score with duloxetine versus placebo. Four studies found that duloxetine 60 mg daily leads to one or more statistically significant improvements versus placebo in Brief Pain Inventory Severity (BPI-S) scores. All five studies found no significant difference in serious adverse events (AEs) between the duloxetine and placebo groups. One study found a higher rate of total AEs among the duloxetine 120 mg group versus the placebo group; however, the same study did not find a significant difference in total AEs among duloxetine 20 mg and 60 mg groups versus placebo. Duloxetine is a safe and effective first-line option for the treatment of CLBP. Current studies demonstrate that 60 mg taken once daily has the highest efficacy for reducing pain and disability while minimizing minor adverse effects. Further randomized controlled trials with long-term follow-up are necessary to determine its long-term effects.

Dyspnoea and symptom burden in mild-moderate COPD: the Canadian Cohort Obstructive Lung Disease Study.

Studies assessing dyspnoea and health-related quality of life (HRQoL) in chronic obstructive pulmonary disease (COPD) have focussed on patients in clinical settings, not the general population. The aim of this analysis was to compare the prevalence and severity of dyspnoea and impaired HRQoL in individuals with and without COPD from the general population, focussing on mild-moderate COPD. Analysis of the 3-year Canadian Cohort Obstructive Lung Disease (CanCOLD) study included four subgroups: mild COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1); moderate COPD (GOLD 2); non-COPD smokers; and non-COPD never-smokers. The primary outcome was dyspnoea (Medical Research Council (MRC) scale), and the secondary outcome was HRQoL (COPD Assessment Test (CAT) score; Saint George's Respiratory Questionnaire (SGRQ) score). Subgroups were analysed by sex, physician-diagnosed COPD status and exacerbations. 1443 participants (mild COPD (n=397); moderate COPD (n=262(; smokers (n=449) and never-smokers (n=335)) were studied. People with mild COPD were more likely to report more severe dyspnoea (MRC 2 versus 1) than those without COPD (OR (95% CI) 1.42 (1.05-1.91)), and non-COPD never-smokers (OR (95%CI) 1.64 (1.07-2.52)). Among people with mild COPD, more severe dyspnoea was reported in women versus men (MRC2 versus 1; OR (95% CI) 3.70 (2.23-6.14)); people with, versus without, physician-diagnosed COPD (MRC2 versus 1; OR (95% CI) 3.27 (1.71-6.23)), and people with versus without recent exacerbations (MRC2 versus 1; ≥2 versus 0 exacerbations: OR (95% CI) 3.62 (1.02-12.86); MRC ≥3 versus 1; 1 versus 0 exacerbation: OR (95% CI): 9.24 (2.01-42.42)). Similar between-group differences were obtained for CAT and SGRQ scores. Careful assessment of dyspnoea and HRQoL could help identify individuals for earlier diagnosis and treatment.

A specialised cardiorespiratory team approach in the intensive care management of COVID-19 patients: benefit on mortality, diagnosis and management.

BACKGROUND: During the coronavirus pandemic, our intensive care units were faced with large numbers of patients with an unfamiliar disease. To support our colleagues and to assist with diagnosis and treatment, we developed a specialist team. METHODS: The acute respiratory disease support team reviewed 44 consecutive patients referred from the intensive care and coordinated therapies for pulmonary hypertension, pulmonary thrombosis, evolving lung fibrosis and large airway intervention. RESULTS: The mortality for this group was significantly lower (34%) than the total group admitted to critical care as a whole (51%) and for those not reviewed by the team (55%; p=0.012). Pulmonary hypertension was present in 84% of the patients and pulmonary thrombosis in 52%. Thirty-two patients received sildenafil therapy and this was associated with improvement in right heart function in survivors. Ten patients with evolving fibrosis and no evidence of sepsis received high-dose steroid therapy with excellent effect. Five patients developed airway complications requiring intervention. Short time on mechanical ventilation was associated with a poorer outcome (p<0.001). INTERPRETATION: A specialised cardiorespiratory team approach contributes significantly to successful management of severely unwell patients with COVID-19 and offers an important platform for continuity of patient care, education and staff well-being.