Different Degrees Of Severity Research Articles

Italian National Registry of Alopecia Areata: an epidemiological study of 699 Italian patients.

Alopecia areata (AA) is an organ-specific autoimmune disease that affects the hair follicles of the scalp and the rest of the body causing hair loss. Due to the unpredictable course of AA and the different degrees of severity of hair loss, only a few well-designed clinical studies with a low number of patients are available. Also, there is no specific cure, but topical and systemic anti-inflammatory and immune system suppressant drugs are used for treatment. The need to create a global registry of AA, comparable and reproducible in all countries, has recently emerged. An Italian multicentric electronic registry is proposed as a model to facilitate and guide the recording of epidemiological and clinical data and to monitor the introduction of new therapies in patients with AA. The aim of this study was to evaluate the epidemiological data of patients with AA by collecting detailed information on the course of the disease, associated diseases, concomitant and previous events, and the clinical response to traditional treatments. Estimate the impact on the quality of life of patients. The creation of the National Register of AA has proven to be a valid tool for recording, with a standardized approach, epidemiological data, the trend of AA, response to therapies and quality of life. AA is confirmed as a difficult hair disease to manage due to its unpredictable course and, in most cases, its chronic-relapsing course, capable of having a significant impact on the quality of life of patients.

Comparative salivary proteomics analysis of children with and without early childhood caries using the DIA approach: A pilot study.

To screen differentially expressed proteins (DEPs) in the saliva of Early childhood caries (ECC) with different degrees of severity. The proteomic profiles of salivary of children with ECC of varying severity by data independent acquisition data independent acquisition (DIA) technique. A total of 12 preschool children aged 3-5 years were included in this study. In this study, a total of 15,083 peptides and 1944 proteins were quantified; The results of DEPs screening showed that 34 DEPs were identified between the group H and the group LC, including 18 up-regulated proteins and 16 down-regulated proteins; 34 DEPs were screened between the group H and the group HC, including 17 up-regulated proteins and 17 down-regulated proteins; 42 DEPs were screened between the group LC and the group HC, including 18 up-regulated proteins and 24 down-regulated proteins. Among these DEPs, we screened several key proteins that may play a role in ECC, such as MK, histone H4, TGFβ3, ZG16B, MUC20, and SMR-3B. Salivary proteins, as important host factors of caries, are differentially expressed between the saliva of ECC children and healthy children. Specific DEPs are expected to become potential biomarkers for the diagnosis of ECC.

Relationship Between the Gut Microbiota and Neurological Deficits in Patients With Cerebral Ischemic Stroke.

The aim of the paper was to investigate the composition and structure of intestinal flora in patients with cerebral ischemic stroke (CIS), and to investigate the relationship between gut microbiota (GM) and different levels of stroke severity. In this study, 47 CIS patients (16 mild, 21 moderate, and 10 severe) and 15 healthy controls were included. General information, clinical data, and behavioral scores of the enrolled subjects were collected. Deoxyribonucleic acid in fecal intestinal flora was extracted and detected using high-throughput Illumina 16S ribosomal ribonucleic acid sequencing technology. Finally, the correlation between the community composition of intestinal microbiota and National Institutes of Health Stroke Scale (NIHSS) score in CIS patients was analyzed. Compared with healthy controls, there was no statistically significant difference in Alpha diversity among CIS patients, but the principal coordinate analysis showed significant differences in the composition of the GM among stroke patients with different degrees of severity and controls. In CIS patients, Streptococcus was significantly enriched, and Eshibacter-Shigella, Bacteroides, and Agathobacter were significantly down-regulated (P < .05). In addition, the relative abundance of Blautia was negatively correlated with the NIHSS score. Our results show that different degrees of CIS severity exert distinct effects on the intestinal microbiome. This study reveals the intestinal microecological changes after brain injury from the perspective of brain-gut axis. Intestinal microorganisms not only reveal the possible pathological process and indicate the severity of neurologic impairment, but also make targeted therapy possible for CIS patients.

COVID-19 patient profiles over four waves in Barcelona metropolitan area: A clustering approach.

Identifying profiles of hospitalized COVID-19 patients and explore their association with different degrees of severity of COVID-19 outcomes (i.e. in-hospital mortality, ICU assistance, and invasive mechanical ventilation). The findings of this study could inform the development of multiple care intervention strategies to improve patient outcomes. Prospective multicentre cohort study during four different waves of COVID-19 from March 1st, 2020 to August 31st, 2021 in four health consortiums within the southern Barcelona metropolitan region. From a starting point of over 292 demographic characteristics, comorbidities, vital signs, severity scores, and clinical analytics at hospital admission, we used both clinical judgment and supervised statistical methods to reduce to the 36 most informative completed covariates according to the disease outcomes for each wave. Patients were then grouped using an unsupervised semiparametric method (KAMILA). Results were interpreted by clinical and statistician team consensus to identify clinically-meaningful patient profiles. The analysis included nw1 = 1657, nw2 = 697, nw3 = 677, and nw4 = 787 hospitalized-COVID-19 patients for each of the four waves. Clustering analysis identified 2 patient profiles for waves 1 and 3, while 3 profiles were determined for waves 2 and 4. Patients allocated in those groups showed a different percentage of disease outcomes (e.g., wave 1: 15.9% (Cluster 1) vs. 31.8% (Cluster 2) for in-hospital mortality rate). The main factors to determine groups were the patient's age and number of obese patients, number of comorbidities, oxygen support requirement, and various severity scores. The last wave is also influenced by the massive incorporation of COVID-19 vaccines. Our study suggests that a single care model at hospital admission may not meet the needs of hospitalized-COVID-19 adults. A clustering approach appears to be appropriate for helping physicians to differentiate patients and, thus, apply multiple care intervention strategies, as another way of responding to new outbreaks of this or future diseases.

LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation

Uremic toxins (UTs) are compounds derived from the metabolism of dietary molecules such as tryptophan (Indossyl Sulphate, IS) and phenil-alanine (P-Cresyl Sulphate, PCS), that are normally eliminated by the kidneys of healthy patients. The accumulation of such toxins is an indicator of kidney disease at different degrees of severity, and the toxins can be found as free or protein bound in human biological samples. The toxicity of such compounds causes the loss of several biological functions, and the subjects suffering from such complications will need, more often than not, hemodialysis to properly excrete these toxins. Despite this not being a resolutive, but rather a symptom managing clinical approach, this is the most common course of treatment. Two analytical methods are proposed to quantify both the protein-bound and free forms of IS and PCS (HPLC-UV for the former; LC-MS/MS with ESI negative ionization for the latter), with lower variability and higher robustness than what is currently proposed, allowing for a precise simultaneous determination of the aforementioned UTs.

Early frost detection in wheat using machine learning from vertical temperature distributions

Frost damage significantly reduces global wheat production. Temperature development in wheat crops is a complex and dynamic process. During frost events, a vertical temperature gradient develops from soil to canopy due to the heat loss from the soil and canopy boundary. Understanding these temperature gradients is essential for improving frost management strategies in wheat crops. We hypothesise that the relationship between the temperatures of the canopy, plant and ground can be an early indicator of frost. We collected infrared thermal (IRT) images from field-grown wheat crops and extracted the temperatures from the canopy, plant and ground layers. We analysed these temperatures and applied four machine learning (ML) models to detect coldness scales leading to frost nights with different degrees of severity. We implemented a gated recurrent unit, convolutional neural network, random forest and support vector machines to evaluate the classification. Our study shows that in these three layers, temperatures have a relationship that can be used to determine frost early. The patterns of these three temperatures on a frost night differ from a cold no-frost winter night. On a no-frost night we observed that the canopy is the coldest, plant is warm, and the soil is warmest, and these three temperatures did not converge. On the other hand, on a frost night, before the frost event, the canopy and plant temperatures converged as the cold air penetrated through the canopy. These patterns in temperature distribution were translated into an ML problem to detect frost early. We classified coldness scales based on the temperatures conducive to frost formation of a certain severity degree. Our results show that the ML models can determine the coldness scales automatically with 93%–98% accuracy across the four models. The study presents a strong foundation for the development of early frost detection systems.

Pathomorphological Features of Placenta in Different Degrees of Severity of New Coronavirus Infection Suffered During Pregnancy

INTRODUCTION: A wide spread of infection caused by SARS-CoV-2 coronavirus (Severe Acute Respiratory Syndrome-related coronavirus 2 associated with a severe acute respiratory syndrome) in the population, high risks of infection in pregnant women and the lack of understanding of the mechanisms of invasion of the agent into the placenta and its effect on the perinatal outcomes, dictate the need for targeted investigation of the morphofunctional features of placentas of puerperia’s who have suffered this infection.&#x0D; AIM: To identify pathomorphological alterations in placentas in a mild, moderate and severe course of the new coronavirus infection in women during pregnancy.&#x0D; MATERIALS AND METHODS: A morphological survey research of 63 placentas of women who have suffered SARS-CoV-2 infection during pregnancy was conducted. The material was divided into groups with mild (n = 16), moderate (n = 35) and severe (n = 12) course of the disease. The control group included 25 placentas from women with physiological pregnancy. After standard fixation and histological preparation of the material, the tissue sections of 4 µm to 5 µm thickness were stained with hematoxylin and eosin.&#x0D; RESULTS: It has been established that the new coronavirus infection runs with general pathological alterations in the placentas. In a mild course of the infectious process, inflammation in the basal (12.5%) and parietal (25.0%) decidual membrane, disorders in maternal (6.3%) and fetal (6.3%) hemocirculation were diagnosed. A moderate course of the disease was characterized by predominance of placentas with impaired differentiation of chorionic villi by dissociation type (74.3%, p = 0.0001) and of mononuclear deciduitis (57.1%, p = 0.008). In a severe course of SARS-CoV-2 infection, abnormalities in the form of placenta (58.3%, p = 0.004) and in the attachment of the umbilicus (58.3%, p = 0.03), villous infarctions (33.3%, p = 0.05), thrombosis in the maternal (63.7%, p = 0.005) and fetal (57.3%, p = 0.005) parts of vascular bed were noted.&#x0D; CONCLUSION: Thus, the mild course of SARS-CoV-2 infection is characterized by chronic inflammation in the structural components of the placenta, the moderate course — by the dissociated development of cotyledons, the severe course — by disorders in hemocirculation in the form of infarctions and thrombosis.

Longitudinal serum profiling in Dengue fever patients with different severities by using multiplex flavivirus antigen microarrays

Dengue fever is one of the most common arbovirus-infected diseases and typically progresses through the febrile, critical, and convalescent phases. While most Dengue Fever patients have mild symptoms, a few develop severe symptoms due to hyperimmune responses. However, the role of the humoral responses during the Dengue fever progression, especially in severe cases, is still unclear. Here, we developed multiplex Flavivirus Antigen Microarrays (FAMs) for profiling antibody specificities in different infection phases and Dengue fever severities. The FAMs comprised 17 nonstructural and envelope proteins from Flaviviruses that frequently infect humans, e.g., 4 serotypes of Dengue viruses, Zika virus, Japanese encephalitis virus, West Nile virus, Yellow fever virus, and Tick-borne encephalitis virus. We collected serum samples from Dengue fever patients with different degrees of severity, including mild (n = 17), hospitalized non-severe (n = 21), and severe (n = 19), during febrile (Day < 7) and convalescent (Day > 7) phases. We simultaneously profiled the serum IgG and IgM against multiple antigens on the FAMs to demonstrate the immunological signatures in Dengue fever patients with different severities and two infection stages. Compared to febrile phase, the convalescent phase of mild but not hospitalized cases exhibiting evoked Dengue-specific IgM. In IgG profiling, the convalescent phase showed generally higher immune responses compared to febrile phase. Moreover, in the febrile phase, the hospitalized patients displayed higher IgG levels against 4 serotypes of Dengue viruses, Zika virus, and West Nile virus compared to mild patients, suggesting early and strong humoral responses. This study provides a valuable tool for monitoring antibody specificities and advances our understanding of humoral responses along with Dengue fever severities.

What is conceptual disruption?

Recent work on philosophy of technology emphasises the ways in which technology can disrupt our concepts and conceptual schemes. We analyse and challenge existing accounts of conceptual disruption, criticising views according to which conceptual disruption can be understood in terms of uncertainty for conceptual application, as well as views assuming all instances of conceptual disruption occur at the same level. We proceed to provide our own account of conceptual disruption as an interruption in the normal functioning of concepts and conceptual schemes. Moreover, we offer a multilevel taxonomy thereof, where we distinguish between instances of conceptual disruptions occurring at different levels (conceptual scheme, conceptual clusters, and individual concepts), taking on different forms (conceptual gaps and conceptual conflicts), and leading to different degrees of severity (extending from mild to severe). We also provide detailed accounts through historical examples of how conceptual gaps and conceptual conflicts can occur at different times in the very same process of conceptual disruption. Finally, we make the case that different kinds of conceptual engineering can provide meaningful ways to assess and overcome distinct types of conceptual disruption.

Study of serum Ykl-40 level and its relationship to BODE index in patients with chronic obstructive pulmonary disease

BackgroundChronic obstructive pulmonary disease (COPD) is a significant global health concern characterized by growing rates of mortality and morbidity. The purpose of this work was to evaluate the serum YKL-40 level and its relationship to body mass index (BMI), obstruction of airflow, dyspnea, exercise capacity (BODE) index, and the extent of COPD.MethodsThis prospective work was carried out on 70 adult male patients, allocated into three groups: group A—36 smokers with stable COPD with different degrees of severity; group B—19 smokers without COPD; and group C—15 healthy non-smokers as a control group.ResultsThe BODE index was 5.56 ± 2.52. Prebronchodilator forced expiratory volume in 1 s (FEV1) and FVC were substantially decreased in group A contrasted to group B and group C (P value < 0.001). Prebronchodilator forced expiratory volume in 1/forced vital capacity (FEV1/FVC) ratio was substantially decreased in group A contrasted to groups B and C and lower in group B than in group C (P value < 0.001).Chest X-ray (CXR) signs of COPD and mMRC Dyspnea Scale were significantly higher in group A than in groups B and C (P value < 0.001). The 6-min walking test was substantially decreased in group A than in groups B and C and lower in group B than in group C (P value < 0.001 and 0.006 correspondingly). Serum YKL-40 was substantially greater in group A contrasted to group C (P value = 0.005). There was no correlation between serum YKL-40 and (BODE index, O2 saturation, or smoking index) in group A. A substantial positive association existed among serum YKL-40 and [degree of severity and white blood cells (WBCs)] in group A. Serum YKL-40 cannot predict the severity of COPD (P = 0.227 and AUC = 0.584) at cut-off > 0.394 with 80.65% sensitivity, 41.03% specificity, 52.1% PPV, and 72.7% NPV.ConclusionsSerum YKL-40 level was substantially greater in the COPD group contrasted to healthy non-smokers, no substantial association existed between serumYKL-40 and BODE index, O2 saturation, or smoking index. A substantial positive association existed between SerumYKL-40 and the degree of severity and WBCs.

In vivo visualization of burn depth in skin tissue of rats using hemoglobin parameters estimated by diffuse reflectance spectral imaging.

Burn injuries represent a global public health problem that kills an estimated 180,000 people annually. Non-fatal burns result in prolonged hospitalization, disfigurement, and disability. The most common, convenient, and widely used method for assessing burn depth is physical or visual examination, but the accuracy of this method is reportedly poor (60% to 75%). Rapid, correct assessment of burn depth is very important for the optimal management and treatment of burn patients. New methods of burn depth assessment that are inexpensive, simple, rapid, non-contact, and non-invasive are therefore needed. The aim of this study was to propose an approach to visualize the spatial distribution of burn depth using hemoglobin parameters estimated from spectral diffuse reflectance imaging and to demonstrate the feasibility of the proposed approach for differentiating burn depth in a rat model of scald burn injury. The new approach to creating a spatial map of burn depth was based on canonical discriminant analysis (CDA) of total hemoglobin concentration, tissue oxygen saturation, and methemoglobin saturation as estimated from spectral diffuse reflectance images. Burns of three different degrees of severity were created in rat dorsal skin by 10-s exposure to water maintained at 70°C, 78°C, and 98°C, respectively. Spectral images for dorsal regions were acquired under anesthesia immediately after burn injury and at 24h, 48h, and 72h after injury. Most areas of images in the group with skin exposed to 70°C water and 98°C water were classified as 70°C burn and 98°C burn, respectively. In contrast, no significant difference between areas classified as 78°C burn and 98°C burn from 24h to 72h was evident in the group with skin exposed to 78°C water, suggesting that burn depth was heterogeneous. The proposed approach combining diffuse reflectance spectral imaging and CDA appears promising for differentiating 70°C burns from 78°C burns and 98°C burns, and 98°C burns from 70°C burns and 78°C burns at 24 to 72h after burn injury in a rat model of scald burn injury.

Mixed Heterotopic Gastrointestinal/Respiratory Oral Cysts in Newborns: From Prenatal Diagnosis to Histopathological and Therapeutic Management: A Case Report and Literature Review

Fetal lingual tumors are very rare, and their early prenatal diagnosis is important for defining the subsequent therapeutic strategy. In this study, we aimed to describe a case of a congenital septate lingual cyst and perform an extensive literature review on two main databases (PubMed, Web of Science), analyzing the clinical manifestations, the imaging appearance, the differential diagnosis, and particularities regarding the treatment of these tumors. The electronic search revealed 17 articles with 18 cases of mixed heterotopic gastrointestinal/respiratory oral epithelial cysts that met the eligibility criteria and were included in this review. The clinical case was diagnosed prenatally during second-trimester screening. On the eighth day of life, the fetus underwent an MRI of the head, which revealed an expansive cystic process on the ventral side of the tongue with the greatest diameter of 21.7 mm, containing a septum of 1 mm inside. On the 13th day of life, surgery was performed under general anesthesia, and the lingual cystic formation was completely excised. The postoperative evolution was favorable. The histopathological examination revealed a heterotopic gastric/respiratory-mixed epithelial cyst with non-keratinized respiratory, gastric squamous, and foveolar epithelium. The lingual cyst diagnosed prenatally is an accidental discovery, the differential diagnosis of which can include several pathologies with different degrees of severity but with a generally good prognosis.

Tooth decay and autism spectrum disorders in children: is there a connection?

The study of caries lesions of children 7 and 12 years old with different degrees of severity of autism and concomitant intellectual disabilities, in comparison with a control group of neurotypical patients of similar age. The main study group included children with ASD ages 7 and 12 (n=214), and the comparison group included neurotypical children of the same age (n=140). To assess the incidence of dental caries, indicators of the prevalence and intensity of the process were used. The prevalence of dental caries in children with ASD is lower than in the comparison group or comparable. The average caries prevalence was found in the 7- and 12-year-old groups in children with mild autism without concomitant intellectual deficits (80.89±3.40 and 76.65±4.24, respectively). In children with severe and extremely severe autism, regardless of the presence of intellectual disability, the prevalence of dental caries was high in both age groups, which is comparable with the same indicator and age of neurotypical children. Moreover, both age groups of neurotypical children were also comparable in caries prevalence (89.67±1.65 and 90.32±1.20 respectively). Caries intensity did not seem to be related to years of autistic disorder (significantly lower in the group of 12-year-old children with ASD, compared to 7-year-olds). Caries intensity in children with ASD increased with increasing severity of autism and concomitant intellectual disability. Further comprehensive studies in terms of included variables are needed to identify contributing factors (impact of family socioeconomic opportunities, increased parental care, etc.).

A proteomic approach to investigate the role of the MECP2 gene mutation in Rett syndrome redox regulatory pathways

Mutations in the X-linked methyl-CpG-binding 2 (MECP2) gene lead to Rett Syndrome (RTT; OMIM 312750), a devasting neurodevelopmental disorder. RTT clinical manifestations are complex and with different degrees of severity, going from autistic-like behavior to loss of acquired speech, motor skills and cardiac problems. Furthermore, the correlation between the type of MECP2 mutation and the clinical phenotype is still not fully understood.Contextually, different genotypes can differently affect the patient's phenotype and omics methodologies such as proteomics could be an important tool for a molecular characterization of genotype/phenotype correlation.The aim of our study was focused on evaluating RTT oxidative stress (OS) responses related to specific MECP2 gene mutations by using proteomics and bioinformatics approaches.Primary fibroblasts isolated from patients affected by R133C and R255× mutations were compared to healthy controls (HC).After clustering primary dermal fibroblasts based on their specific MECP2 mutations, fibroblast-derived protein samples were qualitative and quantitative analyzed, using a label free quantification (LFQ) analysis by mass spectrometry (MS), achieving a preliminary correlation for RTT genotype/phenotype. Among the identified proteins involved in redox regulation pathways, NAD(P)H:quinone acceptor oxidoreductase 1 (NQO1) was found to be absent in R255× cells, while it was present in R133C and in HC fibroblasts. Moreover, NQO1 aberrant gene regulation was also confirmed when cells were challenged with 100 μM hydrogen peroxide (H2O2).In conclusion, by employing a multidisciplinary approach encompassing proteomics and bioinformatics analyses, as well as molecular biology assays, the study uncovered phenotypic responses linked to specific MECP2 gene mutations.These findings contribute to a better understanding of the complexity of RTT molecular pathways, confirming the high heterogeneity among the patients.

Influence of drugs of protocol therapy on the production of pro-inflammatory cytokines of t-lymphocytes of children with bronchial asthma

ABSTRACT. At the current stage of solving the problem in the pathogenesis of atopic BA in moderate-severe and severe course of the disease, the leading role is played by pro-inflammatory cytokines of T-lymphocytes and factors of the late phase of allergic inflammation. Goal. To determine the effect of the drugs of the therapy protocol recommended by GINA (2021) and the Ministry of Health of Ukraine No. 2856 on the production of pro-inflammatory cytokines in children with AD. Materials and methods. The study was conducted in 106 patients with BA and 20 healthy children aged 5 to 14 years in the period of disease remission before and after therapy. The impact of the protocol therapy scheme on the production of pro-inflammatory cytokines and their antibody control in children with different degrees of severity of the course of the disease was evaluated. The results. In asthma in children with a mild persistent course, protocol therapy reduces the release of mediators of the early phase of the allergic disease and the partial production of pro-inflammatory cytokines, which leads to clinical remission of the disease. With a moderately severe persistent course of AD, the influence of protocol therapy drugs reduce the level of production of pro-inflammatory cytokines to weakly positive values, which indicates incomplete control of therapy and unstable clinical remission. In severe persistent AD, protocol therapy partially reduces the production of pro-inflammatory cytokines, but does not affect the late phase of allergic inflammation and the autoimmune component of the pathogenesis of the disease. Conclusions. The recommended GINA protocol therapy (2021) eliminates the early phase and does not affect the late phase of allergic inflammation and the autoimmune component. This requires the development of additional therapy for moderate and severe asthma in children.

The influence of air pollutants on COVID-19 severity in the administrative and industrial city of Kharkiv

Background. Despite the official statement by the World Health Organization regarding the end of coronavirus disease (COVID-19) pandemic, the risk of an epidemic rise in morbidity remains due to the active circulation of the pathogen and its mutation. Social, natural, environmental, and other factors can contribute to the spread of COVID-19. Air pollutants are extremely dangerous for humans, and a mixture of aerosols and dust particles in the air can serve as factors for the severe acute respiratory syndrome coronavirus 2 transmission. So, the purpose of the study was to reveal the impact of air pollutants on COVID-19 severity in Kharkiv. Materials and methods. The influence of environmental factors on the manifestations of COVID-19 epidemic was assessed for 425 days. 16,723 cases of hospitalizations, 1,883 deaths, and 15,146 confirmed cases of COVID-19 in various age groups were studied. There were on average 4,663 active cases every day. Statistical analysis on assessing the impact of environmental factors on COVID-19 morbidity with different degrees of severity was performed using the non-parametric Kruskal-Wallis test in the IBM SPSS Statistics software package, and the normality of the distribution was checked using the Kolmogorov-Smirnov test. Microsoft Office Excel 2016 spreadsheet tools were used for some auxiliary calculations and graphing. Results. The influence of sulfur dioxide, nitrogen dioxide, nitrous oxide, hydrogen sulfide, phenol, soot, and formaldehyde on COVID-19 morbidity in different severity of infection course with incubation periods of 3–4, 6–7, and 10–14 days was revealed. The effect of high concentrations of nitrogen dioxide, nitrogen oxide, and formaldehyde was most significant on active, confirmed, hospitalized, and fatal cases of COVID-19. At the same time, a rise in active cases of COVID-19 was observed with increasing concentrations of sulfur dioxide and hydrogen sulfide, and high concentrations of phenol and soot had an impact on severe forms. Conclusions. Air pollution can contribute to the spread of COVID-19 and lead to its severe forms, which should be considered when predicting morbidity at different levels (national, regional, local) of epidemiological surveillance. Further research is needed to reveal causal relationships between the incidence of COVID-19 and air pollutants, considering the influence of social and natural factors.

Differences in the prevalence of cardiovascular toxicity in a cohort of female breast cancer patients according to the different cardiotoxicity definitions

Abstract Background The definition of cancer therapy-related cardiac dysfunction (CTRCD) has evolved in the past ten years, as Cardio Oncology has consolidated as a new medical discipline. However, great heterogeneity is noted among the published criteria of the different types of cardiotoxicities by the different scientific societies. In order to mitigate this variability, a new definition of CTRCD has been recently proposed by the International Cardio-Oncology Society (IC-OS) and endorsed by the latest 2022 ESC Guidelines on cardio-oncology. CTRCD is now classified into different degrees of severity according to symptoms, left ventricular ejection fraction (LVEF) reduction guided by echocardiography and elevation of cardiac biomarkers. Purpose we aimed to assess the impact of the new consensus definition of CTRCD in the reclassification of cardiotoxicity in a breast cancer cohort of female patients receiving potentially cardiotoxic therapies (CT) attended in our third-level hospital. Methods we retrospectively analyzed and compared the incidence of the different subtypes of CTRCD in a cohort of female breast cancer patients evaluated in our hospital from 2018 to 2021 according to both the previous 2016 ESC Position Paper on cancer treatments and cardiovascular toxicity and the latest 2021 ICOS definition. Results a cohort of 193 women with a breast cancer diagnosis and receiving CT was analyzed. Mean age was 58 ± 11 years and 57 % of the patients (110) had a least one cardiovascular risk factor, with no past history of cardiac disease. According to the previous ESC 2016 criteria, 16 patients (8.3%) had cardiac dysfunction associated with cancer treatment whereas with the 2021 IC-OS new definition, a total of 23 women (12%) would have been satisfied the CTRCD criteria. Of Those, 11 were asymptomatic and 7 had severe CTRCD. Overall, this would have translated into a 30% rise in the incidence of patients experiencing any type of cardiotoxicty (p &amp;lt; 0.0001). Conclusion(s) by using the new IC-OS criteria for CTRCD, a significant increase in the prevalence of cardiotoxicity was noted in our population, which may translate the higher sensitivity of the proposed criteria to detect clinical or subclinical cardiovascular damage derived from cancer treatment.

Differences in Nasopharyngeal and Lung Histopathology in Wistar Rats (Rattus norvegicus) Given Inhaled Formaldehyde Exposure with Doses of 20, 30, and 40 ppm

Background: Formaldehyde is known as a chemical substance that may induce structural cell changes in several organs, especially the respiratory system. Different concentrations of exposure may result in different degrees of severity in histopathology. Method: Twenty male Wistar rats were divided into 4 groups. Inhalation of 10% formaldehyde exposure in 6 hours per day over 16 weeks was done. Nasopharyngeal and lung tissues were taken with hematoxylin-eosin (H&amp;E) staining to see histopathology structural changes and degree of severity. Bivariate analysis was conducted to find the correlation coefficient. Results: This experimental study found that severe dysplasia is correlated with long exposure. A strong correlation is found between concentrations and dysplasia (r=0.682), and a moderate correlation between duration of exposure and dysplasia (r=0.488).Discussion: Dysplasia of nasopharyngeal and lung tissue are in line with exposure of formaldehyde in rats. Formaldehyde exposure with 10 ppm and 15 ppm may lead to structural cell changes such as vacuolar degeneration, cell necrosis, epithelial exfoliation, and erosion in nasal passage. Also, longer exposure increases the severity of dysplasia. Squamous metaplasia was found in 20 ppm of formaldehyde over 2 weeks of exposure, in the epithelial respiratory system. Conclusion: The severity of dysplasia in rats is in line with the duration and concentrations of formaldehyde exposure. Long exposure will increase the severity of dysplasia and, similarly, high concentration of formaldehyde exposure increases the severity of dysplasia.

Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity

Objective:This study highlights the potential of an Electrocardiogram (ECG) as a powerful tool for early diagnosis of COVID-19 in critically ill patients with limited access to CT–Scan rooms. Methods:In this investigation, 3 categories of patient status were considered: Low, Moderate, and Severe. For each patient, 2 different body positions have been used to collect 2 ECG signals. Then, from each collected signal, 10 non-linear features (Energy, Approximate Entropy, Logarithmic Entropy, Shannon Entropy, Hurst Exponent, Lyapunov Exponent, Higuchi Fractal Dimension, Katz Fractal Dimension, Correlation Dimension and Detrended Fluctuation Analysis) were extracted every 1s ECG time-series length to serve as entries for 19 Machine learning classifiers within a leave-one-out cross-validation procedure. Four different classification scenarios were tested: Low vs. Moderate, Low vs. Severe, Moderate vs. Severe and one Multi-class comparison (All vs. All). Results:The classification report results were: (1) Low vs. Moderate - 100% of Accuracy and 100% of F1–Score; (2) Low vs. Severe - Accuracy of 91.67% and an F1–Score of 94.92%; (3) Moderate vs. Severe - Accuracy of 94.12% and an F1–Score of 96.43%; and (4) All vs All - 78.57% of Accuracy and 84.75% of F1–Score. Conclusion:The results indicate that the applied methodology could be considered a good tool for distinguishing COVID-19’s different severity stages using ECG signals. Significance:The findings highlight the potential of ECG as a fast and effective tool for COVID-19 examination. In comparison to previous studies using the same database, this study shows a 7.57% improvement in diagnostic accuracy for the All vs All comparison.

Effects of Vitamin D Supplementation and Degradation on the Innate Immune System Response: Insights on SARS-CoV-2

Vitamin D has been proven to be a strong stimulator of mechanisms associated with the elimination of pathogens. Because of its recognized effectiveness against viral infections, during SARS-CoV-2 infection, the effects of Vitamin D supplementation have been the object of debate. This study aims to contribute to this debate by the means of a qualitative phenomenological mathematical model in which the role of Vitamin D and its interactions with the innate immune system are explicitly considered. We show that Vitamin D influx and degradation can be considered as possible control parameters for the disease evaluation and recovery. By varying Vitamin D influx, three dynamical scenarios have been found with different modalities of recovery from the disease. Inside each scenario, Vitamin D degradation has been related to different degrees of severity in disease development. Interestingly, the emergence of hysteretic phenomenologies when Vitamin D influx is too low can be related to the onset of Long-COVID syndrome, confirming clinical evidence from recent studies on the topic.