Embase

Mitral valve prolapse (MVP) is among the most frequently diagnosed valvular heart diseases, with the majority of patients being asymptomatic. However, MVP may also present with ventricular arrhythmias (VA) or sudden cardiac death (SCD). The arrhythmic form of MVP and the complicated course of this condition are closely associated with mitral annular disjunction (MAD). MAD alters the anatomical integrity of the mitral annulus and is thought to contribute to leaflet degeneration and myocardial fibrosis, creating a substrate for malignant arrhythmias. The most common complications associated with MVP and MAD include progressive mitral valve regurgitation, left ventricular hypertrophy and an increased risk of SCD. Cardiac magnetic resonance (CMR) imaging is the most sensitive modality for detecting MAD and myocardial fibrosis and is thus essential for early diagnosis and risk stratification. This review aims to enhance recognition of MAD, summarize current diagnostic and risk assessment strategies, and provide clinical context through two cases of patients with arrhythmic MVP and MAD.

Insects have been consumed for time immemorial in many regions of the globe. However, in other parts, they are not traditionally eaten. Because they are a more sustainable source of animal protein and provide valuable nutrients as well as bioactive compounds with beneficial effects on the human body, their consumption is encouraged. Knowledge can serve as a tool for better acceptance of insects as food. In this context, the present work investigated the knowledge about the nutritional value and health effects of edible insects in different countries. Data were collected by employing a questionnaire survey translated into the different languages of all participating countries and were treated using statistical tools. A total of 7222 responses were obtained. The results indicated that for many issues, the participants manifested a neutral opinion (neither agree nor disagree), but the participants who manifested agreement/disagreement were generally well informed. They were also able to identify untrue facts and answer accordingly by disagreeing. Factor analysis showed four groups of questions: nutritive value, negative perception and risks, safety and benefits of insects and contamination and harmful components. Finally, significant differences were observed according to the sociodemographic variables studies (sex, age, education, living environment and country), with age and country being the most influential of the sociodemographic factors on knowledge. Therefore, increasing knowledge is envisaged as an essential factor in augmenting the recognition of edible insects as a nutritional food, presenting health benefits apart from being a more sustainable source of animal protein when compared with beef or pork meats.

Medical overuse poses potential risks to patients and contributes to increasing healthcare costs, pediatric emergency departments (PED) in particular. Often, upper respiratory tract infection (URTI) cases are viral-induced and self-limiting, and they do not require specific investigations or treatment. We conducted a retrospective study from 1 December 2021 to 31 January 2022, thereby aiming to identify the common tests and factors influencing specific diagnostic and treatment decisions for URTI in PED. In total, 307 (74.9%) URTI cases underwent complete blood count (CBC) tests, 312 (76.1%) were subjected to C-reactive protein (CRP) tests, and 110 (26.8%) received urinalysis tests. Patients with a longer duration of fever and a physician‘s suspicion of bacterial infection were more likely to receive CBC, CRP, and/or urinalysis tests (p<0.05). Moreover, 75.1% of the cases were classified as viral URTIs, 9.8% were bacterial URTIs, and 15.1% were unspecified. Notably, 86 (20.1%) children received antibiotics and antibiotic prescription correlated with age, tonsillitis diagnosis, CRP values higher than 30 mg/L, and a CBC of p<0.05. Patients triaged in the second or third categories were three times more likely to be observed for 24 h compared to patients with URTI and the fourth triage category (p<0.05). This study highlights the need for interventions to improve the appropriateness of emergency service utilization, thereby emphasizing the importance of judicious decision making in managing pediatric URTIs.

BACKGROUND: While Primary Care Physicians (PCPs) play a key role in cancer detection, they can find cancer diagnosis challenging, and some patients have considerable delays between presentation and onward referral. AIM: This study explores European PCPs' experiences and views on cases where they considered that they had been slow to think of, or act on, a possible cancer diagnosis. DESIGN & SETTING: A multicentre European qualitative study, based on an online survey with open-ended questions asking PCPs for their narratives about cases when they had missed a diagnosis of cancer. METHOD: Using maximum variation sampling, PCPs in 23 European countries were asked to describe what happened in a case where they were slow to think of a cancer diagnosis, and for their views on why it happened. Thematic analysis was used to analyse the data. RESULTS: A total of 158 PCPs completed the questionnaire. The main themes were: where patients' descriptions did not suggest cancer; when distracting factors reduced PCPs' suspicions of cancer; when patients' hesitancy delayed the diagnosis; where system factors hampered the diagnostic process; when PCPs felt that they had made a mistake; and inadequate communication. CONCLUSION: The study identified six overarching themes which need to be addressed. Doing so should reduce morbidity and mortality in the small proportion of patients who have a significant, avoidable delay in their cancer diagnosis. The 'Swiss cheese' model of accident causation shows how the themes relate to each other.

There is no surgical intervention without risk. A high rate of caesarean sections (CSs) impacts on maternal and newborn mortality and morbidity. For optimisation of the CS rate, regular monitoring is necessary. In 2015, the World Health Organization recommended the Robson classification as a global standard for assessing, monitoring, and comparing CS rates. We analysed all births in 2019 in the Riga Maternity Hospital—a secondary-level monodisciplinary perinatal care hospital in Latvia—according to the Robson classification, seeking to identify which groups make the biggest contribution to the overall CS rate. In total, 5835 women were included. The overall CS rate was 21.5%. In our study, the largest contributors to the overall CS rate were as follows: Group 5 (33.3%); Group 2 (20.8%); and Group 1 (15.6%). The results of our deeper analysis of individual groups (Group 1 and 5) from our study may help to develop targeted interventions for specific subgroups of the obstetric population, effectively reducing both the overall rate of CS and the number of unnecessary CSs performed. The CS rate reduction strategy should be based on decreasing CSs in Group 1 and encouraging VBAC, thus decreasing the number of women undergoing two or more CSs in future.

Background and objectives: Since 2013, highly effective direct-acting antiviral (DAA) treatment for chronic hepatitis C (CHC) has become available, with cure rates exceeding 95%. For the choice of optimal CHC treatment, an assessment of the hepatitis C virus (HCV) genotype (GT) and liver fibrosis stage is necessary. Information about the distribution of these parameters among CHC patients in Estonia, Latvia, and Lithuania (the Baltic states) and especially in Ukraine is scarce. This study was performed to obtain epidemiologic data regarding CHC GT and fibrosis stage distribution for better planning of resources and prioritization of patients for DAA drug treatment according to disease severity in high-income (the Baltic states) and lower-middle-income (Ukraine) countries. Materials and methods: The retrospective RESPOND-C study included 1451 CHC patients. Demographic and disease information was collected from medical charts for each patient. Results: The most common suspected mode of viral transmission was blood transfusions (17.8%), followed by intravenous substance use (15.7%); however, in 50.9% of patients, the exact mode of transmission was not clarified. In Ukraine (18.4%) and Estonia (26%), transmission by intravenous substance use was higher than in Lithuania (5%) and Latvia (5.3%). Distribution of HCV GT among patients with CHC was as follows: GT1—66.4%; GT3—28.1; and GT2—4.1%. The prevalence of GT1 was the highest in Latvia (84%) and the lowest in Ukraine (63%, p < 0.001). Liver fibrosis stages were distributed as follows: F0—12.2%, F1—26.3%, F2—23.5%, F3—17.1%, and F4—20.9%. Cirrhosis (F4) was more prevalent in Lithuanian patients (30.1%) than in Estonians (8.1%, p < 0.001). Conclusions: This study contributes to the knowledge of epidemiologic characteristics of HCV infection in the Baltic states and Ukraine. The data regarding the patterns of HCV GT and fibrosis stage distribution will be helpful for the development of national strategies to control HCV infection in the era of DAA therapy.

The problem of cleaning impaired speech is crucial for various applications such as speech recognition, telecommunication, and assistive technologies. In this paper, we propose a novel approach that combines Pareto-optimized deep learning with non-negative matrix factorization (NMF) to effectively reduce noise in impaired speech signals while preserving the quality of the desired speech. Our method begins by calculating the spectrogram of a noisy voice clip and extracting frequency statistics. A threshold is then determined based on the desired noise sensitivity, and a noise-to-signal mask is computed. This mask is smoothed to avoid abrupt transitions in noise levels, and the modified spectrogram is obtained by applying the smoothed mask to the signal spectrogram. We then employ a Pareto-optimized NMF to decompose the modified spectrogram into basis functions and corresponding weights, which are used to reconstruct the clean speech spectrogram. The final noise-reduced waveform is obtained by inverting the clean speech spectrogram. Our proposed method achieves a balance between various objectives, such as noise suppression, speech quality preservation, and computational efficiency, by leveraging Pareto optimization in the deep learning model. The experimental results demonstrate the effectiveness of our approach in cleaning alaryngeal speech signals, making it a promising solution for various real-world applications.

Maintaining meat quality is essential to sustainable livestock management. Therefore, identifying alternative feed materials while considering consumer acceptance is crucial. So, the aim of this study was to evaluate the effect of C. glomerata-biomass-supplemented feeds on rabbit muscles’ physical properties, sensory profiles, and evaluators’ emotional responses to them. A total of thirty 52-day-old weaned Californian breed rabbits were randomly allocated to one of three dietary treatments: standard compound diet (SCD), SCD supplemented with 4% C. glomerata (CG4), or SCD supplemented with 8% C. glomerata (CG8). After the 122-day-old rabbits were slaughtered, post-mortem dissection of the rabbit Longissimus dorsi (LD) and hind leg (HL) muscles was conducted. The physical and histomorphometric features, sensory analyses, and emotional responses to the rabbit’s muscles were determined. Study results revealed CG4 and CG8 treatments significantly increased rabbit muscle moisture, while CG8 increased cooking losses in HL muscles (p < 0.05). Moreover, both CG treatments reduced the darkness and redness of fresh and cooked rabbit muscles compared to SCD (p < 0.05). CG8 treatment compared to SCD resulted in longer LD muscle fibers (p < 0.05). Evaluators discovered that the average scores for each sensory description of rabbit meat are acceptable and that consuming CG8-HL muscles can increase happiness based on emotional responses. Consequently, replacing traditional feed materials in rabbit feed with C. glomerata can lead to not only more sustainable production but also more consumer-acceptable rabbit meat.

The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) are short self-report questionnaires used to screen and assess depression and anxiety severity in medical and community samples. However, little is known about their psychometric properties in individuals with anxiety and mood disorders (AMD) This study evaluated the psychometric properties of the PHQ-9 and GAD-7 in individuals with AMD. Individuals (n = 244, mean age 39.9 ± 12.3 years) with AMD completed the PHQ-9, GAD-7, as well as other measures of depression, anxiety, and a structured diagnostic interview. The PHQ-9 and GAD-7 demonstrated good internal consistency (Cronbach's alpha 0.87 and 0.84, respectively). The PHQ-9 and GAD-7 showed a weak correlation with clinician-rated scales HAM-D and HAM-A (r = 0.316, p < 0.01, r = 0.307, p < 0.01, respectively). For the PHQ-9, a cut score of ≥11 resulted in 72% sensitivity and 72% specificity at recognizing depression symptoms. For the GAD-7, a cut score ≥7 resulted in 73% sensitivity and 54% specificity at recognizing any anxiety disorders. The confirmatory factor analysis suggested a two-factor structure (“cognitive/affectional”, “somatic”) for both the PHQ-9 and GAD-7. In conclusion, the PHQ-9 and GAD-7 have adequate formal psychometric properties as severity measures for symptoms of anxiety and depression in individuals with AMD. The PHQ-9 performs well as a screener using a cut score of ≥11. However, the clinical utility of the GAD-7 as a diagnostic tool for recognition of anxiety disorders is limited.