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This study explored the prevalence and attributes of triage errors made by emergency responders during virtual reality simulations of mass casualty incidents.
Methods
The study analyzed errors made by 99 emergency responders during their triage and treatment of a mass casualty incident in virtual reality. Responders received training on the Sort, Assess, Life-saving Intervention, Treatment, Transport (SALT) protocol, then responded to a virtual bombed subway station. Responder accuracy, efficiency, and application of treatments were tracked. Error analysis was performed through the lens of human factors. Accordingly, errors were categorized by their nature: either perception, proficiency, or procedure.
Results
Responders correctly triaged 70% of virtual patients, and 78% demonstrated relative efficiency. Interaction times between responders and patients averaged 20 seconds. The time to assess and treat all patients for life-threatening bleeding injuries across the entire scene averaged six minutes. Most errors were related to proficiency (e.g., competence or experience). However, procedural errors (shortcomings of SALT) and perceptual errors (degraded sensory input from programmed environmental chaos, i.e., virtual smoke/debris and louder sound) were also observed. Most errors were related to patients with either respiratory issues or multiple injuries.
Conclusion
Virtual reality (VR) offered a controlled environment for studying errors made by emergency responders in a mass casualty incident, which will lead to improved training and protocols to better prepare them for these events.
Accurate discrimination and energy measurement of alpha particles remain a key challenge in proton boron fusion driven by high-intensity laser-plasma interaction due to the complex mix of ions generated in these extreme conditions. We present a novel implementation of a high-accuracy, low-background technique involving a CR-39 enhanced image plate that was used with a Thomson parabola spectrometer (TPS) and differential filtering. This technique demonstrated a strong reduction in background contamination arising from plasma ions compared to standard CR-39 and allowed for the generation of a contaminant-free alpha particle energy spectrum from a boron foam target irradiated by a 10 J, 800 fs laser pulse with an intensity of $\sim$$2\times10^{19}\ Wcm^{-2}$. The laser pulse was from a hybrid Ti:Sapphire-Nd:glass system generated from the Chirped Pulse Amplification (CPA) mode. The spectrum covered an energy range of 3–8 MeV with a corresponding energy resolution of 0.1–0.5 MeV. The developed filtering technique has the potential to measure even lower energy ranges, further extending its applicability compared with existing methods. The differential filtering solution strongly reduces the signal from carbon ions that would otherwise overlap the alpha particle trace on the TPS, providing a quasi-contaminant-free signal, while the CR-39 enhanced the detection sensitivity compared to other detectors.
Respiratory dysfunction can occur at one or more of the following levels: central neurons including the upper motor neuron, brainstem regions of respiratory control. lower motor neurons, peripheral motor nerves, the neuromuscular junction and the respiratory muscles. Any acute or chronic lesion or condition that affects regions of respiratory control can affect the respiratory system by altering breathing pattern and respiratory drive, leading to central breathing irregularities. Dysfunction of lower motor neurons, the peripheral motor nerves, the neuromuscular junction and the muscle typically results in an impairment of the lower motor neurons, the peripheral motor nerves, the neuromuscular junction or the muscle typically results in an impairment of the respiratory pump which commonly leads to chronic hypercapnia, also called respiratory failure type 2. Moreover, weakness of bulbar muscles can cause an airway obstruction resulting in apneic periods with hypercapnia and hypoxemia. Of note, central and peripheral alterations simultaneously affect ventilation in some disorders, which highlights the need for a specific and sometimes individual diagnostic approach. Considering the impact of respiratory insufficiency on morbidity and mortality, the respiratory function must be assessed and monitored regularly.
As the global incidence of heat-related illnesses escalates in the wake of climate change-induced heat waves, the critical necessity for reliable diagnostic tools becomes apparent. This scoping review aimed to summarize the existing body of published evidence on biomarkers that could potentially be utilized for the diagnosis of heat-related illness in the clinical setting.
Methods
We conducted a thorough search of 3 databases, including Embase, MEDLINE, on Ovid, and The Cochrane Library (Wiley) databases from October 11, 2022 up until January 15, 2024. We also manually included studies by searching the reference lists of the included articles. Studies that performed statistical validation were summarized in detail.
Results
2877 citations were identified and screened, with 228 studies reviewed as full text. 56% of these studies were conducted within China or North America. The studies identified 113 biomarkers. Most common biomarkers studied were troponin I, IL-6, platelets, and ALT. The studies exhibited considerable variation, reflecting the diverse range of investigated biomarkers and the absence of standardized statistical validation for the biomarkers.
Conclusions
Numerous biomarkers have been evaluated in the literature, but none have been studied to impact clinical practice. There is significant variation in the methodology and statistical validation. There is a need for further research to identify clinically relevant biomarkers for heat related illnesses.
The development of more sophisticated and, especially, approximate sampling algorithms aimed at improving scalability in one or more of the senses already discussed in this book raises important considerations about how a suitable algorithm should be selected for a given task, how its tuning parameters should be determined, and how its convergence should be as- sessed. This chapter presents recent solutions to the above problems, whose starting point is to derive explicit upper bounds on an appropriate distance between the posterior and the approximation produced by MCMC. Further, we explain how these same tools can be adapted to provide powerful post-processing methods that can be used retrospectively to improve approximations produced using scalable MCMC.
Edited by
James Ip, Great Ormond Street Hospital for Children, London,Grant Stuart, Great Ormond Street Hospital for Children, London,Isabeau Walker, Great Ormond Street Hospital for Children, London,Ian James, Great Ormond Street Hospital for Children, London
The catheterisation laboratory (cath lab) continues to advance with updated technology and novel devices, allowing catheter-based interventions on more complex cases of congenital and acquired heart disease with the added benefit of reduced radiation exposure. Today, a wider range of catheter-based interventions exist, replacing or postponing the need for a surgical approach. Even extremely preterm infants (some less than 800 g) can now be offered interventional procedures in the cardiac catheter laboratory. Conversely, there is a reduced need for cardiac catheterisation as a purely diagnostic tool, as non-invasive imaging modalities such as cardiac CT and MRI continue to increase in their application and sophistication. The anaesthetist will find themselves undertaking high-risk anaesthetics, with challenges inherent to the cath lab, with riskier and more complex children, in a location which may be remote from the theatre suite. Anaesthetists managing children with complex congenital cardiac disease have to understand the pathophysiology of these patients and, importantly, the effects that anaesthesia and any intervention will have on their underlying physiology.
Supervised deep learning approaches can artificially increase the resolution of microscopy images by learning a mapping between two image resolutions or modalities. However, such methods often require a large set of hard-to-get low-res/high-res image pairs and produce synthetic images with a moderate increase in resolution. Conversely, recent methods based on generative adversarial network (GAN) latent search offered a drastic increase in resolution without the need of paired images. However, they offer limited reconstruction of the high-resolution (HR) image interpretable features. Here, we propose a robust super-resolution (SR) method based on regularized latent search (RLS) that offers an actionable balance between fidelity to the ground truth (GT) and realism of the recovered image given a distribution prior. The latter allows to split the analysis of a low-resolution (LR) image into a computational SR task performed by deep learning followed by a quantification task performed by a handcrafted algorithm based on interpretable biological features. This two-step process holds potential for various applications such as diagnostics on mobile devices, where the main aim is not to recover the HR details of a specific sample but rather to obtain HR images that preserve explainable and quantifiable differences between conditions.
Since the first edition was published in 2009, there have been significant advances in diagnostics and management of viral infections, as well as newly discovered viruses such as SARS-CoV-2 and Zika virus. This new edition provides up-to-date information on the key developments in clinical and diagnostic virology, especially molecular diagnosis, with guidance on new molecular and bedside tests. Effective antiviral treatments and novel combinations of treatments recently introduced are covered in depth. Infection control precautions and pandemic preparedness are discussed, with a focus on recent outbreaks. As with the first edition, coverage is succinct and practical with easily accessible information in algorithms and tables, and standardised chapter layouts organised from A to Z. This is an ideal introduction to complex topics for healthcare trainees, as well as a handy and easily accessible reference for more experienced hospital clinicians and primary care physicians.
This chapter explains the role of national and state/territory education authorities in providing guidance for teachers when assessing students’ knowledge, understanding and skills in primary science education. It also presents a range of strategies which allow students to demonstrate their knowledge and understandings at various time points (before, during and after) in science learning sequences. While the notion of assessment often relates to teacher judgements of what students do or do not know and how well they know it, a key goal in education is to develop students’ metacognitive abilities so that they can judge their own learning themselves. The focus needs to be on inclusive strategies and resources that improve not prove learning (Skamp & Preston, 2021), while positioning students as knowledge constructors and sharers rather than knowledge consumers. Strategies for identifying students’ learning in the Australian Curriculum: Science will be explored.
We aimed to evaluate serum soluble suppression of tumorigenicity-2 in children with congestive heart failure, to assess the diagnostic and prognostic values of soluble suppression of tumorigenicity-2 in these patients, and to correlate its levels with various clinical and echocardiographic data.
Methods:
We included 60 children with congestive heart failure as the patient group. Sixty healthy children of matched age and sex served as the control group. Patients were evaluated clinically and by echocardiography. Serum level of suppression of tumorigenicity-2 was measured for patients at admission. All patients were followed up for death or readmission for a period of one year.
Results:
Soluble suppression of tumorigenicity-2 was significantly higher in children with congestive heart failure as compared to the control group. Soluble suppression of tumorigenicity-2 was significantly increased in patients with higher severity of congestive heart failure. There was a significant increase in soluble suppression of tumorigenicity-2 in patients with bad prognosis compared to those with good prognosis. There was a significant positive correlation between soluble suppression of tumorigenicity-2 and respiratory rate, heart rate, and clinical stage of congenital heart failure, while there was a significant negative correlation between soluble suppression of tumorigenicity-2 and left ventricular systolic and diastolic function. The best cut-off of soluble suppression of tumorigenicity-2 to diagnose congestive heart failure was > 3.6 with 87% sensitivity and 79% specificity. The cut-off point of soluble suppression of tumorigenicity-2 to diagnose congestive heart failure in children was ≥ 31.56 ng/ml, with 95% sensitivity and 91.37% specificity. Moreover, the cut-off point of soluble suppression of tumorigenicity-2 to predict bad prognosis in children with congestive heart failure was ≥ 255.5 ng/ml, with 92% sensitivity and 89.0% specificity.
Conclusion:
Soluble suppression of tumorigenicity-2 is a good diagnostic and predictive biomarker in children with congestive heart failure.
The present study investigated the operational feasibility of the recently developed Salmon Welfare Index Model (SWIM 1.0) designed for Atlantic salmon (Salmo salar L) in production cages. Ten salmon farms containing spring smolts were visited twice, first between May and June the first year in sea cages, and secondly 2-3 months later. On each farm the SWIM 1.0 assessments were carried out for the two cages assumed by the farmer to represent the best and worst welfare status. The applied welfare indicators (WIs) were water temperature, salinity, stocking density, lighting, disturbance, daily mortality rate, appetite, sea lice infestation ratio, condition factor, emaciation state, vertebral deformation, maturation stage, smoltification state, fin condition and skin condition. The effective time to carry out the welfare evaluation was about 1.5 h per farm. The results showed some marked differences between visits; relatively larger proportions of emaciated fish were sampled during the first compared to the second visit, and more homogeneous scores of skin and fin damage were found on the second visit. The overall welfare index scores were generally in accordance with the farmers’ ranking of the ‘best’ and the ‘worst’ sea cage during the first visit. Together, the findings of this study suggest that the SWIM model may be employed for documentation of animal welfare over the salmon marine production cycle. The results call attention towards re-assessment of some of the welfare indicators, improved sampling methods, and a more user-friendly interface. All-in-all, the current SWIM model is regarded as a promising candidate tool towards welfare assessment of farmed salmon.
Conversion disorder (a term that describes what was previously called hysteria) refers to motor or sensory symptoms, or both, that resemble a neurological disease, but that do not originate from or cannot be explained by a known physical disease.
Objectives
To find reliable tools that can guide the difficult diagnosis of conversion disorder.
Methods
Bibliographic review
Results
The exact prevalence of the disorder is unknown. It is estimated that approximately 5% of referrals to neurology are for this disorder. Approximately one third of patients referred to the neurologist have symptoms that cannot be explained by an organic disease. Involuntary movements are the most common motor manifestations of the conversive syndrome, being tremor one of the most frequent manifestations. The first differential diagnosis of conversion disorder is neurological disease. It is currently not necessary for the diagnosis to assess whether or not the symptoms are produced intentionally, as the assessment of conscious intentionality is unreliable. The neurological examination is the fundamental tool for the diagnostic approach, being even more enlightening than the complementary tests. Hoover’s sign, Babinski’s combined leg flexion, plantar flexion of the ankle, tremor and its distraction and synchronisation manoeuvres, as well as the clinical differences between epileptic seizures and non-epileptic seizures of psychogenic origin, are some of the reliable tools for a correct diagnosis.
Conclusions
The diagnosis of the disease should be one of exclusion. There must be clinical data showing clear evidence of incompatibility with a neurological disease and conversion symptoms do not correspond to known physiological mechanisms and anatomical pathways.
Bipolar disorder (BD) is a psychiatric disorder characterized by alternating episodes of high mood and low mood similar to depression. To differentiate BD patients from unipolar (UN) depressed patients remains a challenge and the clinical scales available failed to distinguish these 2 populations. ALCEDIAG developed EDIT-B, the first blood test able to make a differential diagnosis of BD. Based on RNA editing modifications measurement and AI, the test requires a simple blood draw and equipment available in most central laboratories. A first study on 160 UN and 95 BD patients allowed a differential diagnosis with an AUC of 0.935 and high specificity (Sp=84.6%) and sensitivity (Se=90.9%). A multicentric clinical study has been set up to validate these performances.
Objectives
The objective of this project is to run a multicentric clinical study in Europe and assess the performances of the test.
Methods
The EDIT-B project, led by Alcediag, is supported by EIT-Health grant (European institute of Innovation and Technology) and gathers 4 clinical centers in 3 countries (France, Spain, Danemark), a CRO for the clinical study management (Aixial), a CRO for the development of a diagnostic kit (Veracyte), a diagnostic lab for molecular biology analyses (Synlab), and a regulatory company (PLG).
Results
At the end of the study, the EDIT-B performance will be confirmed and the test will be CE-marked.
Conclusions
This test will address the needs of millions of patients suffering from misdiagnosis and therefore allow them to receive the correct treatment.
Assessment is one of the processes of planning outlined in Chapter 9 and is an important imperative of teaching and learning. According to Black and Wiliam (2005) the term ‘assessment’ refers to all activities educators use to help students learn and to gauge student progress. One main purpose of administering assessment and having students complete assessment requirements is to collect evidence of student learning. Educators use the evidence in student work or student responses to draw inferences about student progress towards attaining identified learning objectives or learning outcomes. The fundamental purpose of assessment and reporting is to use the evidence and the inferences made from the evidence to improve student learning. As an adjunct, gathering evidence of student learning through assessment responses guides future planning and pedagogies to ensure student achievement of learning objectives or outcomes.
In Cameroon, skepticism and neglect of doctors towards patients with mental disorders is noted. In order to change this, it was important to have an objective assessment. Depressive disorders are the most common form of mental disorders and Douala has the second largest number of general practitioners in the country. Thus, we proposed to evaluate the behaviour of general practitioners in Douala in front of patients with depressive disorders.
Objectives
Evaluate the frequency of depressive disorders in outpatient general consultation Evaluate the competence of general practitioners at diagnosing depressive disorders Evaluate the practices of general practitioners towards depressive disorders Evaluate obstacles faced by general practitioners regarding depressive disorders
Methods
We conducted a cross-sectional descriptive study from February to June 2017 in the outpatient department. For each general practitioner include, we had 3 patients who complete the patient health questionnaire to find out if the patient has depression. During each consultation, we filled out a clinical fact sheet to determine if the general practitioner had diagnosed a depressive disorder. If so, what care has he taken? Finally, we gave the general practitioner a questionnaire to know his difficulties when facing depression.
Results
We obtained a frequency of 32.5% of depressive disorders in consultation of general medicine in Douala and a rate of diagnosis by general practitioners of 1.92%. Diagnosed cases have just received counseling.
Conclusions
in Cameroon, despite the low interest in depressive disorders, they constitute a public health issue in Douala, and surely in Cameroon; Because of its frequency and the harm, they inflict on patients.
Neurosciences evolved very rapidly in last few years and helped the establishment of Liaison Psychiatry as a fundamental part of the general hospitals functioning. However, the use of this department by the other specialties still needs to be refined, as it is common to find wrong assessments in the referral of the patients.
Objectives
We aim to study the concordance between the referral motives and the assessment by the psychiatry team.
Methods
Data was collected through the informatic registry. Contains patient data observed by a liaison psychiatrist in the period between 1st of July and 30th of September of 2020. In this period there were 80 requests, of which, 6 were refused for various reasons. We decided to study the concordance when one of these symptoms were in the request: anxious symptoms, depressive symptoms, psychotic symptoms and psychomotor agitation. 46 requests met this criteria.
Results
The mean age was 63,3yo and 46% were older than 65yo. Most were women (54%) and 68% had history of psychiatry disorder. About 50% were requests from the Medicine wards. The concordance between the medical request and the psychiatry assessment was higher for psychomotor agitation (n=11; 64%) and depressive symptoms (n=23; 57%), but it was lower in anxious symptoms (n=3; 33%) and in psychotic symptoms (n=9; 33%). Most common diagnosis was delirium.
Conclusions
Non-psychiatrist doctors appear to have more difficulty when assessing anxious and psychotic symptoms. Those concordance percentages are in line with recent research. Actions should be taken to improve this, like academic training and standardization of referral.
Psychiatric diagnoses are derived from expert opinion (1). Since no objective tests or markers are on the horizon, clinical psychiatry is anchored to “the patient’s altered experience, expression and existence, associated with suffering in self and/or others”(2). Many studies have examined diagnostic stability over time. In the last years investigators have been reporting prospective and retrospective consistencies of diagnoses between two time points, specially in first episodes of psychosis (3).
Objectives
To examine the prospective and retrospective stability of diagnostic categories 2 years after the first episode of psychosis
Methods
Data were examined from the First Episode Psychosis Program of Navarra (PEPsNA), a prospective observational study of a cohort of patients with first-episode psychosis in Navarra (Spain). Diagnosis was assigned using DSM-IV-TR at baseline and 24 months later. Diagnoses were divided into 5 categories: Affective psychosis, Schizophrenia spectrum psychosis, Schizoaffective disorder, acute psychosis and other diagnoses. Diagnostic change was examined using prospective and retrospective consistency
Results
A total of 78 first-episode psychosis cases with baseline and 24 months follow-up were identified. Table 1 shows the diagnosis movement matrix, and Figure 1 its graphical representation. Of cases, 71.8% (56/78) had the same baseline and 24 months follow-up diagnosis. Prospective and retrospective consistencies are shown in Table 2
Conclusions
The prospective and retrospective consistencies of Schizophrenia spectrum psychosis and acute psychosis were higher than others. Affective psychosis and Schizoaffective disorder show very variable consistencies
Coronary artery disease and myocardial infarction are known complications of long-standing diabetes mellitus in adults, but coronary artery spasm is far more rare and has not been reported in children. We present a 15-year-old male in diabetic ketoacidosis who developed diffuse ST segment elevations and elevated troponin with normal coronary arteries on coronary angiography and no signs of pericarditis that was due to coronary artery spasm.
Lungworms can exert a negative impact on wild ruminant fitness; for this reason, the diagnosis of the associated diseases is an important prevention measure. The Baerman–Wetzel technique is the most usual method for the diagnosis of bronchopulmonary nematodes and is based on the active migration and movement of their first-stage larvae. Pulmonary tissue samples are frequently used for the post-mortem diagnosis of these parasites, but this kind of sample is not always available and easy to obtain. Faecal samples represent a more accessible choice for parasite monitoring. This work aimed to evaluate the agreement between the results obtained by the Baermann–Wetzel technique when samples of lung parenchyma or faeces from wild ruminants are used. A good level of agreement as well as a similar sensitivity between the two types of sample were observed, validating the use of faecal samples as a less invasive and cost-effective alternative for the monitoring of lungworm in wild ruminant populations.
Jane Costello, Professor Emerita of Psychiatry and Behavioral Sciences at Duke University (United States) was born in England (1939) and received her PhD in social psychology from the University of London School of Economics. She participated in two National Academy of Medicine (United States) panels on aggressive and violent behavior. She began her career as an epidemiologist and evolved into a developmental epidemiologist, incorporating methods from the developmental sciences. Her interest in aggressive behavior started with studies of children with psychiatric illnesses. She created the DSM diagnostic interview for children. She studied the role of puberty in the development of conduct disorder. She created the Great Smoky Mountains Study in the United States, which led to an opportunity to compare the development of American Indian and non-Indian participants in response to a ‘natural experiment’: the creation of a casino. It had no effect on the children of the well-off members of the American Indian community, but it had a marked positive effect on children from poor families, even into their 30s. Results point to a critical period of exposure early in the teenage years: a bio-psycho-social phenomenon, which also has considerable economic and social effects, similar to the expected effect of a ‘Universal Basic Income’ (UBI).