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The article provides information on immunopathology in sepsis and the commonality between immunopathogenetic processes of sepsis and the new coronavirus infection (COVID-19). As a result of the inability of the immune system to cope with aggression of the pathogen, inadequate immune activity occurs manifested by the systemic inflammatory response syndrome, resulting in damage to tissues of the host organism. In response, compensatory anti-inflammatory response syndrome is activated, which is manifested by inhibition of the immune response. One of its main mechanisms is signals produced by membrane receptors and their ligands. Against the background of inability of the host organism to neutralise the pathogen, numerous pathological phenomena and complications occur leading to damage to human tissues.Copyright © 2021, Krasnoyarsk State Medical University. All rights reserved.
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Objective: The current study aimed to describe the clinical characteristics of mild SARS-CoV-2 infected pregnant women with abnormal liver function (ALF), explore the association between ALF with maternal and fetal outcomes. Method(s): This retrospective analysis included 87 pregnant patients with mild SARS-CoV-2 infection admitted and treated from December 1, 2022, to 31, 2022 in the department of Obestircs at Beijing Obstetrics and Gynecology Hospital. We evaluated patients for demographic and clinical features, laboratory parameters and pregnancy complications. Result(s): 27 Patients in this cohort had clinical presentations of ALF. Compared with the control group, the peripheral blood platelet (PLT), D-dimer quantitative determination (D-Dimer), lactate dehydrogenase (LDH), total protein (TP), albumin (ALB), indirect bilirubin (DBIL), gamma- glutamyltranspeptidase (GGT) and total bile acid (TBA) showed significantly differences (p<0.05). 12 cases (44.44%) complicated with pregnancy induced hypertension (PIH), 14 cases (51.85%) complicated with intrahepatic cholestasis of pregnancy (ICP), 2 cases (7.4%) complicated with acute fatty liver during pregnancy (AFLP) and 5 cases (14.81%) complicated with postpartum hemorrhage in patients with abnormal LFT were significantly higher than those in the control group (p<0.05). Compared with the control group, the incidence of premature delivery (22.22%) and fetal distress (37.04%) in the experiment group were significantly higher (p<0.05), and the incidence of neonatal asphyxia was not significantly different (p>0.05). Conclusion(s): Pregnant women are generally susceptible to mild SARS-CoV-2 and may induce ALF. ALF is associated with increased risk of mother and infant. The maternal and infant outcomes of those who terminated pregnancy in time are acceptable. Therefore, pregnant women with COVID-19 who received antiviral treatment should be closely monitored for evaluating liver function and relevant indicators. The long-term outcomes in the future are worth to further study.Copyright © 2023
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Objective: To summarize and compare the main traditional Chinese medicineTCMsyndromes of Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2SARS-CoV-2 carriers to provide references for the syndrome evolution and syndrome differentiation of SARS-CoV-2 infection. Method(s):The TCM medical records of imported and local cases of infection with Delta and Omicron variants of SARS-CoV-2 in Changsha since September 23,2021 to March 27,2022 were collected,including 18 Delta variant cases and 36 Omicron variant cases. Their TCM diagnosis information and TCM pathogenesis were analyzed and compared. Result(s): The common manifestations in Delta variant cases were cough,fever,chest distress/shortness of breath,sore muscles,nausea,dry mouth,dry or sore throat,thick and greasy tongue coating,and rapid and slippery pulse. The predominant pathogenesis was dampness-heat in the upper-energizer and heat stagnation in the lesser Yang combined with dampness. The occurrence of chest distress/shortness of breath,greasy tongue coating,slippery pulse,and the proportion of dampness-heat in the upper-energizer syndrome were higher in Delta variant cases than in Omicron variant cases P<0.05. The common manifestations in Omicron variant cases were itchy and sore throat,nasal congestion,running nose,fever,mild aversion to cold,dry mouth,dizziness,slightly reddish tongue with thin white coating,and rapid or wiry pulse. The predominant pathogenesis was wind-dryness invading defensive exterior,and heat stagnation in the lesser Yang. The occurrence of white-coated tongue and the proportion of wind-dryness invading defensive exterior syndrome were higher in Omicron variant cases than in Delta variant casesP<0.05. Conclusion(s): There are certain differences in TCM syndromes and the corresponding pathogenesis between Delta variant and Omicron variant cases in Changsha,Hunan. The Delta variant of SARS-COV-2 tends to induce dampness-heat syndrome, whereas Omicron variant infection tends to elicit wind-dampness syndrome,which is expected to provide a reference for the pathogenesis evolution of SARS-COV-2 infection.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
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Aiming at the severe form of new coronavirus epidemic prevention and control, a target detection algorithm is proposed to detect whether masks are worn in public places. The Ghostnet and SElayer modules with fewer design parameters replace the BottleneckCSP part in the original Yolov5s network, which reduces the computational complexity of the model and improves the detection accuracy. The bounding box regression loss function DIOU is optimized, the DGIOU loss function is used for bounding box regression, and the center coordinate distance between the two bounding boxes is considered to achieve a better convergence effect. In the feature pyramid, the depthwise separable convolution DW is used to replace the ordinary convolution, which further reduces the amount of parameters and reduces the loss of feature information caused by multiple convolutions. The experimental results show that compared with the yolov5s algorithm, the proposed method improves the mAP by 4.6% and the detection rate by 10.7 frame/s in the mask wearing detection. Compared with other mainstream algorithms, the improved yolov5s algorithm has better generalization ability and practicability. © 2022 ACM.
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Objective. To study the characteristics of cardiotocography (CTG) and pregnancy outcomes in patients who had a mild coronavirus infection in the third trimester. Patients and methods. The parameters and variations of CTG and pregnancy outcomes were analyzed in 32 low-risk pregnant women who experienced mild COVID-19 in the third trimester (the study group) and in 30 pregnant women (matched pairs) who had no coronavirus infection (the comparison group). Results. A total of 375 CTGs were analyzed: 221 in the study group and 154 in the comparison group. Normal CTG recordings were found in 87% of pregnant women in the study group, which was significantly less frequent than in those without COVID-19 (97%) (p = 0.02), and suspicious CTG in 10 and 1.3%, respectively, which was 3.38-fold more frequent than in the comparison group (p = 0.04). Pathological CTG recordings were observed only in two women in the study group. The features of CTG in women who had a mild form of COVID-19 in the third trimester were a significant decrease in the number of accelerations, short-term variation (STV) in the range of 3 to 5 ms, long-term variation (LTV) <50 ms, a tendency toward tachycardia and low heart rate variability (<5 ms), and prolonged decelerations. The frequency of fetal asphyxia and neonatal morbidity was higher in the study group. Conclusion. COVID-19 even in its mild form may have a negative effect on the fetus, increasing the frequency of fetal hypoxia and neonatal asphyxia.Copyright © 2023, Dynasty Publishing House. All rights reserved.
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The World Health Organization has labeled the novel coronavirus illness (COVID-19) a pandemic since March 2020. It's a new viral infection with a respiratory tropism that could lead to atypical pneumonia. Thus, according to experts, early detection of the positive cases with people infected by the COVID-19 virus is highly needed. In this manner, patients will be segregated from other individuals, and the infection will not spread. As a result, developing early detection and diagnosis procedures to enable a speedy treatment process and stop the transmission of the virus has become a focus of research. Alternative early-screening approaches have become necessary due to the time-consuming nature of the current testing methodology such as Reverse transcription polymerase chain reaction (RT-PCR) test. The methods for detecting COVID-19 using deep learning (DL) algorithms using sound modality, which have become an active research area in recent years, have been thoroughly reviewed in this work. Although the majority of the newly proposed methods are based on medical images (i.e. X-ray and CT scans), we show in this comprehensive survey that the sound modality can be a good alternative to these methods, providing faster and easiest way to create a database with a high performance. We also present the most popular sound databases proposed for COVID-19 detection. © 2022 IEEE.
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High-dimensional classification and feature selection tasks are ubiquitous with the recent advancement in data acquisition technology. In several application areas such as biology, genomics, and proteomics, the data are often functional in their nature and exhibit a degree of roughness and nonstationarity. These structures pose additional challenges to commonly used methods that rely mainly on a two-stage approach performing variable selection and classification separately. We propose in this work a novel Gaussian process discriminant analysis (GPDA) that combines these steps in a unified framework. Our model is a two-layer nonstationary Gaussian process coupled with an Ising prior to identify differentially-distributed locations. Scalable inference is achieved via developing a variational scheme that exploits advances in the use of sparse inverse covariance matrices. We demonstrate the performance of our methodology on simulated datasets and two proteomics datasets: breast cancer and SARS-CoV-2. Our approach distinguishes itself by offering explainability as well as uncertainty quantification in addition to low computational cost, which are crucial to increase trust and social acceptance of data-driven tools. Supplementary materials for this article are available online.
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The diagnosis of COVID-19 requires chest computed tomography (CT). High-resolution CT images can provide more diagnostic information to help doctors better diagnose the disease, so it is of clinical importance to study super-resolution (SR) algorithms applied to CT images to improve the reso-lution of CT images. However, most of the existing SR algorithms are studied based on natural images, which are not suitable for medical images;and most of these algorithms improve the reconstruction quality by increasing the network depth, which is not suitable for machines with limited resources. To alleviate these issues, we propose a residual feature attentional fusion network for lightweight chest CT image super-resolution (RFAFN). Specifically, we design a contextual feature extraction block (CFEB) that can extract CT image features more efficiently and accurately than ordinary residual blocks. In addition, we propose a feature-weighted cascading strategy (FWCS) based on attentional feature fusion blocks (AFFB) to utilize the high-frequency detail information extracted by CFEB as much as possible via selectively fusing adjacent level feature information. Finally, we suggest a global hierarchical feature fusion strategy (GHFFS), which can utilize the hierarchical features more effectively than dense concatenation by progressively aggregating the feature information at various levels. Numerous experiments show that our method performs better than most of the state-of-the-art (SOTA) methods on the COVID-19 chest CT dataset. In detail, the peak signal-to-noise ratio (PSNR) is 0.11 dB and 0.47 dB higher on CTtest1 and CTtest2 at x3 SR compared to the suboptimal method, but the number of parameters and multi-adds are reduced by 22K and 0.43G, respectively. Our method can better recover chest CT image quality with fewer computational resources and effectively assist in COVID-19.
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Objectives: The coronavirus disease 2019 (COVID-19) pandemic has imposed significant burden on Brazil's health system. The present study aims to describe patients' demographic and clinical characteristics, vaccine uptake and assess healthcare resource utilization (HCRU) and costs associated with acute COVID-19 in Brazil during the Omicron predominant period. Method(s): A population-based retrospective study was conducted using the National Health Data Network (RNDS), National Vaccination Campaign against COVID-19 data and surveillance data in public setting. Individuals with positive COVID-19 test results between January-April 2022 were identified. Patients' demographics, comorbidities, vaccination status, HCRU for those who were admitted to hospitals and their associated costs were described by age groups. Result(s): A total of 8,160,715 COVID-19 cases were identified and 2.7% were aged <5 years, 11.6% were 5-19 years, 76.9% were 20-64 years and 8.7% were >= 65 years. The presence of comorbidity was 23.1% with a higher prevalence of comorbidities in the elderly (61.8% for 65-74 years and 71.2% for >=75 years). Regarding COVID -19 vaccination uptake, among those aged <=19 years, 20-64 years and >=65 years, 40.6%, 86.5% and 92.2% had primary series, respectively. Among adults, the booster uptake was 47.3% and 75.8% for those aged 20-64 years and >= 65 years, respectively. Among those with confirmed COVID-19, regardless of vaccination status, 87% were being symptomatic and 1.7% were hospitalized (3.8% in aged <5 years, 4.2% in 5-19 years, 34.3% in 20-64 years and 57.6% in >= 65 years). Among hospitalized patients, 32,6% were admitted to ICU and 80% required mechanical ventilation support. The average cost per day in normal wards and ICU without ventilation was R$291,89 and R$923,90, respectively. Conclusion(s): Our results quantify the public health and economic burden of COVID-19 in Brazil, suggesting substantial healthcare resources required to manage the COVID-19 pandemic.Copyright © 2023
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Objectives: The COVID pandemic has imposed significant direct medical cost and resource use burden on healthcare systems. This study described the patient demographic and clinical characteristics, healthcare resource utilization and costs associated with acute COVID in adults in England. Method(s): This population-based retrospective study used linked primary care (Clinical Practice Research Datalink, CPRD, Aurum) and secondary care (Hospital Episode Statistics) data to identify: 1) hospitalized (admitted within 12 weeks of a positive COVID-19 PCR test between August 2020 and March 2021) and 2) non-hospitalized patients (positive test between August 2020 and January 2022 and managed in the community). Hospitalization and primary care costs, 12 weeks after COVID diagnosis, were calculated using 2021 UK healthcare reference costs. Result(s): We identified 1,706,368 adult COVID cases. For hospitalized (n=13,105) and non-hospitalized (n=1,693,263) cohorts, 84% and 41% considered high risk for severe COVID using PANORAMIC criteria and 41% and 13% using the UKHSA's Green Book for prioritized immunization groups, respectively. Among hospitalized cases, median (IQR) length of stay was 5 (2-7), 6 (4-10), 8 (5-14) days for 18-49 years, 50-64 years and >= 65 years, respectively;6% required mechanical ventilation support, and median (IQR) healthcare costs (critical care cost excluded) per-finished consultant episode due to COVID increased with age (18-49 years: 4364 (1362-4471), 50-64 years: 4379 (4364-5800), 65-74 years: 4395 (4364-5800), 75-84 years: 4473 (4364-5800) and 85+ years: 5800 (4370-5807). Among non-hospitalized cases, older adults were more likely to seek GP consultations (13% of persons age 85+, 9% age 75-84, 7% age 65-74, 5% age 50-64, 3% age 18-49). Of those with at least 1 GP visit, the median primary care consultation total cost in the non-hospitalized cohort was 16 (IQR 16-31). Conclusion(s): Our results quantify the substantial economic burden required to manage adult patients in the acute phase of COVID in England.Copyright © 2023
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Objectives: This study aimed to determine disease severity, clinical features, clinical outcome in hospitalized patients with the Omicron variant and evaluate the effectiveness of one-dose, two-dose, and three-dose inactivated vaccines in reducing viral loads, disease course, ICU admissions and severe diseases. Method(s): Retrospective cohort analysis was performed on 5,170 adult patients (>=18 years) identified as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction admitted at Shanghai Medical Center for Gerontology between March 2022 and June 2022. COVID-19 vaccination effectiveness was assessed using logistic regression models evaluating the association between the risk of vaccination and clinical outcomes, adjusting for confounders. Result(s): Among 5,170 enrolled patients, the median age was 53 years, and 2,861 (55.3%) were male. 71.0% were mild COVID-19 cases, and cough (1,137 [22.0%]), fever (592 [11.5%]), sore throat (510 [9.9%]), and fatigue (334 [6.5%]) were the most common symptoms on the patient's first admission. Ct values increased generally over time and 27.1% patients experienced a high viral load (Ct value< 20) during their stay. 105(2.0%) of these patients were transferred to the intensive care unit after admission. 97.1% patients were cured or showed an improvement in symptoms and 0.9% died in hospital. The median length of hospital stay was 8.7+/-4.5 days. In multivariate logistic analysis, booster vaccination can significantly reduce ICU admissions and decrease the severity of COVID-19 outcome when compared with less doses of vaccine (OR=0.75, 95%CI, 0.62-0.91, P<=0.005;OR=0.99, 95%CI, 0.99-1.00, p<0.001). Conclusion(s): In summary, the most of patients who contracted SARSCoV-2 omicron variant had mild clinical features and patients with vaccination took less time to lower viral loads. As the COVID-19 pandemic progressed, an older and less vaccinated population was associated with higher risk for ICU admission and severe disease.Copyright © 2023
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Objective: To analyze the clinical manifestations, diagnostic methods and treatment process of the patients with non-Hodgkin's lymphoma complicated with human coronavirus(HCoV)-HKU1 pneumonia and improve the clinical medical staff's awareness of the disease, and to reduce the occurrence of clinical adverse events. Method(s): The clinical data of a patient with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia with hot flashes and night sweats, dry cough and dry throat as the main clinical features who were hospitalized in the hospital in January 2021 were analyzed, and the relevant literatures were reviewed and the clinical manifestations and diagnosis of HCoV-HKU1 were analyzed. Result(s): The female patient was admitted to the hospital due to diagnosed non-Hodgkin's lymphoma for more than 2 months. The physical examination results showed Karnofsky score was 90 points;there was no palpable enlargement of systemic superfical lymph nodes;mild tenderness in the right lower abdomen, no rebound tenderness, and slightly thicker breath sounds in both lungs were found, and a few moist rales were heard in both lower lungs. The chest CT results showed diffuse exudative foci in both lungs, and the number of white blood cells in the urine analysis was 158 muL-1;next generation sequencing technique(NGS) was used the detect the bronchoalveolar lavage fluid, and HCoV-HKU1 pneumonia was diagnosed. At admission, the patient had symptoms such as dull pain in the right lower abdomen, nighttime cough, and night sweats;antiviral treatment with oseltamivir was ineffective. After treatment with Compound Sulfamethoxazole Tablets and Lianhua Qingwen Granules, the respiratory symptoms of the patient disappeared. The re-examination chest CT results showed the exudation was absorbed. Conclusion(s): The clinical symptoms of the patients with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia are non-specific. When the diffuse shadow changes in the lungs are found in clinic, and the new coronavirus nucleic acid test is negative, attention should still be paid to the possibility of other HCoV infections. The NGS can efficiently screen the infectious pathogens, which is beneficial to guide the diagnosis and treatment of pulmonary infectious diseases more accurately.Copyright © 2023 Jilin University Press. All rights reserved.
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The size and location of the lesions in CT images of novel corona virus pneumonia (COVID-19) change all the time, and the lesion areas have low contrast and blurred boundaries, resulting in difficult segmentation. To solve this problem, a COVID-19 image segmentation algorithm based on conditional generative adversarial network (CGAN) is proposed. Uses the improved DeeplabV3+ network as a generator, which enhances the extraction of multi-scale contextual features, reduces the number of network parameters and improves the training speed. A Markov discriminator with 6 fully convolutional layers is proposed instead of a common discriminator, with the aim of focusing more on the local features of the CT image. By continuously adversarial training between the generator and the discriminator, the network weights are optimised so that the final segmented image generated by the generator is infinitely close to the ground truth. On the COVID-19 CT public dataset, the area under the curve of ROC, F1-Score and dice similarity coefficient achieved 96.64%, 84.15% and 86.14% respectively. The experimental results show that the proposed algorithm is accurate and robust, and it has the possibility of becoming a safe, inexpensive, and time-saving medical assistant tool in clinical diagnosis, which provides a reference for computer-aided diagnosis. © 2022 ACM.
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Compared to other respiratory viruses, the proportion of hospitalizations due to SARS-CoV-2 among children is relatively low. While severe illness is not common among children and young individuals, a particular type of severe condition called multisystem inflammatory syndrome in children (MIS-C) has been reported. The aim of this prospective cohort study, which followed a group of individuals under the age of 19, was to examine the characteristics of patients who had contracted SARS-CoV-2, including their coexisting medical conditions, clinical symptoms, laboratory findings, and outcomes. The study also aimed to investigate the features of children who met the WHO case definition of MIS-C, as well as those who required intensive care. A total of 270 patients were included between March 2020 and December 2021. The eligible criteria were individuals between 0-18 with a confirmed SARS-CoV-2 infection at the Infectious Disease Hospital "Prof. Ivan Kirov"in Sofia, Bulgaria. Nearly 76% of the patients were <= 12 years old. In our study, at least one comorbidity was reported in 28.1% of the cases, with obesity being the most common one (8.9%). Less than 5% of children were transferred to an intensive care unit. We observed a statistically significant difference in the age groups, with children between 5 and 12 years old having a higher likelihood of requiring intensive care compared to other age groups. The median values of PaO2 and SatO2 were higher among patients admitted to the standard ward, while the values of granulocytes and C-reactive protein were higher among those transferred to the intensive care unit. Additionally, we identified 26 children who met the WHO case definition for MIS-C. Our study data supports the evidence of milder COVID-19 in children and young individuals as compared to adults. Older age groups were associated with higher incidence of both MIS-C and ICU admissions.Copyright © 2023 P. Velikov et al., published by Sciendo.
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Background: Coronavirus disease-2019 (COVID-19) poses expectant mothers to a higher risk of serious complications and mortality. Following a risk-benefit review, a number of governmental and professional bodies from across the globe recently approved the COVID-19 vaccination during pregnancy. Aim(s): This study aimed to investigate knowledge, actual acceptance, and concerns about the COVID-19 vaccine among the obstetric population. Material(s) and Method(s): Participants were selected from among the expecting women who came for antenatal checkup during the study period (October 1, 2021-November 30, 2021). About 150 pregnant women who met the inclusion criteria and consented were recruited into the study. Data related to socio-demographic and clinical characteristics as well as knowledge, actual acceptance, and concerns about COVID-19 vaccine were collected through in-person interviews using a prestructured questionnaire. The SPSS version 23 was used to analyze data. The association between the attitude (acceptance and hesitance) of participants toward the COVID-19 vaccine and their sociodemographic and clinical profile was found by Fisher's exact test. Result(s): The actual acceptance of the COVID-19 vaccine among expecting women was 52.0%. The primary motive for accepting COVID-19 immunization was to protect the fetus, followed by the protection of one's own health. A significant association was found between COVID-19 vaccine acceptance and the level of education, socio-economic status, and presence of comorbidities. The leading causes for vaccine reluctance were concerns about the efficacy and safety of the vaccines and lack of awareness about their usage during pregnancy. Conclusion(s): Multifaceted activities are required to promote the effectiveness and safety profile of the COVID-19 vaccine as well as disseminate knowledge about its usage during pregnancy. Clinical significance: Unlike numerous other studies that have investigated the accepting attitude only, the present one has investigated the actual COVID-19 vaccine uptake among the obstetric population.Copyright © The Author(s).
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INTRODUCTION. The aetiology of Kawasaki disease (KD) remains unknown. Changes in infectious exposure during the COVID-19 pandemic owing to infection prevention measures may have affected the incidence of KD, supporting the pathogenic role of an infectious trigger. The purpose of this study was to evaluate the incidence, phenotype and outcome of KD before and during the COVID-19 pandemic in Denmark. METHODS. This was a retrospective cohort study based on patients diagnosed with KD at a Danish paediatric tertiary referral centre from 1 January 2008 to 1 September 2021. RESULTS. A total of 74 patients met the KD criteria of whom ten were observed during the COVID-19 pandemic in Denmark. Alof these patients were negative for SARS-CoV-2 DNA and antibodies. A high KD incidence was observed during the first six months of the pandemic, but no patients were diagnosed during the following 12 months. Clinical KD criteria were equally met in both groups. The fraction of intravenous immunoglobulin (IVIG) non-responders was higher in the pandemic group (60%) than in the in the pre-pandemic group (28.3%), although the rate of timely administered IVIG treatment was the same in both groups (>= 80%). Coronary artery dilation was observed in 21.9% in the pre-pandemic group compared with 0% in KD patients diagnosed during the pandemic. CONCLUSION. Changes in KD incidence and phenotype were seen during the COVID-19 pandemic. Patients diagnosed with KD during the pandemic had complete KD, higher liver transaminases and significant IVIG resistance but no coronary artery involvement.Copyright © 2023, Almindelige Danske Laegeforening. All rights reserved.
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Our charity's mission is dedicated to beating blood cancer by funding research and supporting those affected. Since 1960, we have invested over 500 million in blood cancer research, transforming treatments and saving lives. Since 2015 there has been a Support Services team within the charity. This service was established to provide information that the blood cancer community can trust, in a language they can understand. By connecting and listening to our community they deepen our understanding and help shape our work. Research suggests that blood cancer patients are more likely than any other patients to leave their diagnosis appointment feeling they do not fully understand their condition. Our service can often consolidate the information given by clinicians. Patients also need advice and support on how to adapt to day-to- day life after their diagnosis. There are challenges that are unique to blood cancer, such as living with cancer as a chronic condition, being on 'watch and wait' or fluctuating remissions and relapses. In 2023 the Support Services team have a 7 day presence on our phone line, email and social media platform where people can communicate with one of our trained blood cancer support officers, or one of three Registered Nurses, all who can provide information about blood cancer diagnosis and help with emotional and practical support. We also run an online community forum where people affected by blood cancer can connect, share experiences and provide peer support. The highly experienced haematology nurses provide a clinical aspect to the support of the Blood Cancer Community that enhances the established patient centred support given historically by the charity. The nurses advanced knowledge and experience of haematological cancers, treatments, side effects, holistic care and NHS process can further guide the community. This is in addition to the invaluable information from their treatment teams. In 2023 the Support Services team are now reaching thousands of the blood cancer community. We understand that in the past 3 years the COVID-19 pandemic and the work of our charity around this will have influenced the significant increase in contacts but equally the robust and trusted services provided through this charity has contributed too.
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Objectives: Acne is a leading skin problem in adolescents. After the end of COVID-19 pandemic, with the gradual transition to the routine life, we started to encounter more severe forms of acne in the last 6-month than we had seen before in the 10 year period of our Paediatric Dermatology outpatient clinic. Method(s): We evaluated the demographic and clinical characteristics, COVID infection and vaccination status, and treatment of patients who were treated at our Paediatric Dermatology outpatient clinic in the last 6 months due to severe acne. Result(s): One of our patients had acne fulminans, and four patients had acne conglobata. The common features of these patients presenting with severe acne were that they were young boys aged 15- 16 years, medium height, normal weight, and skin type 3-4. All patients had a family history of acne in their parents. They had no known comorbidities, additional treatment, history of nutritional supplement use, or accompanying arthralgia or arthritis. Four patients were initially treated with isotretinoin for severe acne, developed acne conglobata, and one developed acne fulminans during the follow-up period. Dapsone therapy was initiated in all patients according to the severity of the lesions, and adalimumab was administered to acne fulminans. Discussion(s): The frequent occurrence of severe forms of acne after the pandemic raises the question of whether COVID-19 infection or vaccination may play a role in its aetiology. Cases of mask-related acne exacerbation during COVID-19 have been well-described in the literature. However, there are no data on the effects of COVID-19 vaccination or infection on the development of severe acne. In this report, we present cases of adolescent patients with severe acne to investigate the possible reasons for the increasing number of severe acne cases presenting to our outpatient clinic during the postpandemic period.
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As intelligent driving vehicles came out of concept into people’s life, the combination of safe driving and artificial intelligence becomes the new direction of future transportation development. Autonomous driving technology is developing based on control algorithms and model recognitions. In this paper, a cloud-based interconnected multi-sensor fusion autonomous vehicle system is proposed that uses deep learning (YOLOv4) and improved ORB algorithms to identify pedestrians, vehicles, and various traffic signs. A cloud-based interactive system is built to enable vehicle owners to master the situation of their vehicles at any time. In order to meet multiple application of automatic driving vehicles, the environment perception technology of multi-sensor fusion processing has broadened the uses of automatic driving vehicles by being equipped with automatic speech recognition (ASR), vehicle following mode and road patrol mode. These functions enable automatic driving to be used in applications such as agricultural irrigation, road firefighting and contactless delivery under new coronavirus outbreaks. Finally, using the embedded system equipment, an intelligent car was built for experimental verification, and the overall recognition accuracy of the system was over 96%. Author
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This paper introduces the improved method for the COVID-19 classification based on computed tomography (CT) volumes using a combination of a complex-architecture convolutional neural network (CNN) and orthogonal ensemble networks (OEN). The novel coronavirus disease reported in 2019 (COVID-19) is still spreading worldwide. Early and accurate diagnosis of COVID-19 is required in such a situation, and the CT scan is an essential examination. Various computer-aided diagnosis (CAD) methods have been developed to assist and accelerate doctors' diagnoses. Although one of the effective methods is ensemble learning, existing methods combine some major models which do not specialize in COVID-19. In this study, we attempted to improve the performance of a CNN for the COVID-19 classification based on chest CT volumes. The CNN model specializes in feature extraction from anisotropic chest CT volumes. We adopt the OEN, an ensemble learning method considering inter-model diversity, to boost its feature extraction ability. For the experiment, We used chest CT volumes of 1283 cases acquired in multiple medical institutions in Japan. The classification result on 257 test cases indicated that the combination could improve the classification performance. © 2023 SPIE.