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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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Introduction: Spontaneous pneumothorax is a rare complication of coronavirus disease 2019 (COVID-19), primarily reported in adults. Pediatric cases with bilateral pneumothorax are much less reported. Case Presentation: We presented the case of a five-year-old previously healthy boy who developed persistent fever, abdominal pain, generalized maculopapular rash, and dyspnea before admission. His chest computed tomography (CT) showed a viral involvement pattern of pneumonia suggestive of COVID-19. Subsequently, he was confirmed with multisystem inflammatory syndrome in children (MIS-C). While he responded well to the therapies, on the fifth day of admission, he developed respiratory distress again. A chest roentgenogram showed bilateral spontaneous pneumothorax. Bilateral chest tubes were inserted, and his condition improved sig-nificantly after five days of admission to the intensive care unit. Two weeks later, he was discharged in good condition. Conclusion(s): Children with MIS-C associated with COVID-19 may develop primary spontaneous pneumothorax. Owing to the clinical picture overlapping with MIS-C associated with COVID-19, the timely diagnosis of pneumothorax may be challenging in such patients.Copyright © 2022, Author(s).
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Aim of the Study: We aimed to evaluate the virus spreading among a migrant population previously excluded by community surveillance programs. Method(s): We conducted a retrospective study, collecting data about people without SARS-CoV-2-related symptoms who attended the outpatient clinic for undocumented migrants from November 1, 2020, to April 30, 2021. Patients who performed a nasopharyngeal swab and serologic test to evaluate the presence of antibody anti-SARS-CoV-2 were enrolled. Result(s): Overall, 240 people were included in our study. Of them, 15 (6.3%) were female, with a median age of 27.0 years (interquartile range [IQR], 24.3-32.1 years). Thirty-seven patients (15.4%) tested positive for SARS-CoV-2 at the nasopharyngeal swab during the study period. Of these, 16 had positive or low positive results for immunoglobulin G (IgG) and 3 tested positive for both IgG and IgM. Besides, 22 participants (9.2%) resulted positive to serological testing, but negative to polymerase chain reaction testing. The median age of SARS-CoV-2 positive patients (n = 59) was significantly higher than negative (29.6 [IQR, 25.0-35.0] vs 26.8 [IQR, 24.2-31.5], P = 0.022). Among positive patients, the most frequent nationality was Bangladeshi, with 24 people (40.7%, P < 0.001). The highest percentage of positive was found among the same nationality (51.1% of Bangladeshi tested positive). Conclusion(s): Our data underline the significantly higher prevalence of SARS-CoV-2 infection in the undocumented migrant population in respect of the general population of Piacenza province in the same period (15.4% vs 5.9%, P < 0.001). The extension of surveillance programs to the whole population, thus including undocumented people, is crucial to curb the spreading of the virus.Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
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Hepatitis A is a common viral infection worldwide that is transmitted via the fecal-oral route. Since the introduction of an efficient vaccine, the incidence of infection has decreased but the number of cases has risen due to widespread community outbreaks among unimmunized individuals. Classic symptoms include fever, malaise, dark urine, and jaundice, and are more common in older children and adults. People are often most infectious 14 days prior to and 7 days following the onset of jaundice. We will discuss the case of a young male patient, diagnosed with acute hepatitis A, leading to fulminant hepatitis refractory to conventional therapy and the development of subsequent kidney injury. The medical treatment through the course of hospitalization was challenging and included the use of L-ornithine-L-aspartate and prolonged intermittent hemodialysis, leading to a remarkable outcome. Hepatitis A is usually self-limited and vaccine-preventable;supportive care is often sufficient for treatment, and chronic infection or chronic liver disease rarely develops. However, fulminant hepatitis, although rare, can be very challenging to manage as in the case of our patient.Copyright © 2023 The Author(s).
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Background: Post-viral anosmia is responsible for more than 40% of cases of anosmia. Anosmia has been a neglected symptom in the primary healthcare setting until the emergence of the SARS-CoV-2 pandemic. The spread of SARS-CoV-2 infection highlighted new atypical symptoms of the disease, including anosmia, which has become one of the diagnostic symptoms of the disease, and epidemiological concern. We aimed to detect the incidence of SARS-CoV-2 infection within patients presented with anosmia and to test for other respiratory viruses in the negative COVID-19 patients. We also detected the recovery of anosmia and IgM/IgG against COVID-19. We prospectively included 60 outpatients with the major complaint of anosmia. Nasopharyngeal swabs were done for SARS-CoV-2 real-time PCR, and if negative, PCR to other respiratory pathogens was tested. After one month, we inquired about the recovery of smell loss together with testing for antibodies against SARS-CoV-2. Result(s): Sixty patients were enrolled in the study. Forty-six patients (76.7%) were SARS-CoV-2 PCR positive and 14 (23.3%) were negative. Rhinovirus was the commonest isolated pathogen in the negative cases (5/14). Complete recovery of anosmia occurred in 34 patients (56.7%), while partial recovery in 24 (40.0%), and no recovery in 2 patients (3.3%). The median time to complete recovery was 10 days. 28.3% (13/46) of the patients showed negative antibody response for both IgG and IgM. Conclusion(s): Sudden-onset anosmia is a symptom that is highly predictive of being COVID-19-infected. While recovery is expected within 2 weeks, some patients have no antibodies against SARS-CoV-2.Copyright © 2022, The Author(s).
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This research was been adopted to study the relationship between Covid and some necessary biological factors in human body and how these factors affected, This studying included three stages (Sever - Moderate - Mild) it was studied 20 patient for every stage and monitor the biological factors during infection and after infection.Copyright © 2023, Codon Publications. All rights reserved.
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Biomarker detection has attracted increasing interest in recent years due to the minimally or non-invasive sampling process. Single entity analysis of biomarkers is expected to provide real-time and accurate biological information for early disease diagnosis and prognosis, which is critical to the effective disease treatment and is also important in personalized medicine. As an innovative single entity analysis method, nanopore sensing is a pioneering single-molecule detection technique that is widely used in analytical bioanalytical fields. In this review, we overview the recent progress of nanopore biomarker detection as new approaches to disease diagnosis. In highlighted studies, nanopore was focusing on detecting biomarkers of different categories of communicable and noncommunicable diseases, such as pandemic COVID-19, AIDS, cancers, neurologic diseases, etc. Various sensitive and selective nanopore detecting strategies for different types of biomarkers are summarized. In addition, the challenges, opportunities, and direction for future development of nanopore-based biomarker sensors are also discussed.Copyright © 2023 Elsevier B.V.
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Asymptomatic subjects account for 25 to 45% of SARS-CoV-2 infections, and in particular, subjects on mild immunosuppressive therapy may have symptoms masked and could spread virus for an extended period of time. To determine the cumulative incidence of symptomatic and asymptomatic SARS-CoV-2 infections and associated risk factors, we conducted a prospective clinical and serological survey in a cohort of 278 liver transplant recipients (LTRs) from Central Italy. Three different serology tests were performed every 4 months in 259 LTRs between April 2020 and April 2021: one based on raw extract of whole SARS-CoV-2 virus and two on specific viral antigens (nucleoprotein and receptor binding domain) to detect specific IgG, IgM and IgA. Hundred fifteen LTRs who reported symptoms or close contact with a SARS-CoV-2-positive subject, or had a positive serological result underwent molecular testing by standard screening procedures (RT-PCR on naso-pharyngeal swab). Thirty-one past or active SARS-CoV-2 infections were identified: 14 had positive molecular test (64% symptomatic), and 17 had positive serology only (18% symptomatic). SARS-CoV-2 infection was not statistically related to gender, age, obesity, diabetes, renal impairment, type of anti-rejection therapy or time from transplant. Asymptomatic SARS-CoV-2 cases (61.3%) were more frequent in males and in those with glomerular filtrate rate >50 ml/min. Overall, the addition of repeated serology to standard diagnostic molecular protocols increased detection of SARS-CoV-2 infection from 5.1% to 10.9%. Anti-SARS-CoV-2 seroprevalence among our LTRs (11.2%) is comparable to the general population of Central Italy, considered a medium-impact area. Only one asymptomatic subject (6%) was found to carry SARS-CoV-2 in respiratory tract at the time of serological diagnosis.Copyright © 2021 The Authors
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Background: Vaccination is considered the most effective preventive strategy to fight COVID-19. The aim of this study was to evaluate two critical concerns about: 1) the kinetic response of IgG and IgM, and: 2) the hematological abnormalities in a longitudinal cohort of health-care workers (HCW) who had received 2 doses of BNT162b2 mRNA-based vaccine. Method(s): Blood and nasopharyngeal swabs were collected from 46 volunteers' participants, previous written consensus, with presumable no symptoms of COVID-19. Anti-SARS-CoV-2 serum immunoglobulin G (IgG) and M (IgM) and hematological parameters were examined. Multivariable mixed-effects models for repeated measure analysis were adopted to evaluate time changes in IgG, IgM and hematological parameters, and to investigate associations with vaccination response. Result(s): Forty-six subjects (N.=46;31.8% men;68.2% women;mean age near 36 years-old) were enrolled among healthcare workers of IRCCS MultiMedica (Milan, Italy). Overall, increase in serological IgG concentration appeared mainly between 21-28 days after the 1st dose, whereas IgM did not reach positivity in all cases. Mean blood cells counts were in normal range but we observed a significant reduction of total white blood cells and absolute lymphocyte counts after the 1st dose, persisting until the day 28. The increase of monocytes and neutrophils the day after the 1st dose subsequently decayed significantly. Eosinophils concentration showed a tendency to increase over time. Peripheral blood smear showed a growing frequency of atypical lymphocytes (lympho-variants), and of plasmacytoid forms, whereas no difference was found in large granular lymphocytes (LGL), although a decay after the boost was evident. The stratification of subjects, relative to the timing of IgG increase, showed the occurrence of 3 different patterns after vaccination, namely early-responders (R+), late-responders (R-) and pauci-responders (PR) with a peculiar kinetics of hematological parameters. Lymphocytes were significantly associated with total IgG: lower in R+ and PR compared to R- (P=0.0193 and P=00054, respectively). Conclusion(s): In healthy subjects, anti SARS-CoV-2 vaccination induced a variety of non-pathologic abnormalities. The response to vaccination was not equal in the groups examined. In PR group a major difference occurred with respect to R- and R+. This work adds novel insight into the puzzle of changes induced by SARS-CoV-2 virus.Copyright © 2022 EDIZIONI MINERVA MEDICA.
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Objectives: Administration of the third dose of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) vaccine was initiated on December 1, 2021, in Japan. However, data on the long-term effects of this third vaccination remain scarce. Here, we examined the levels of SARS-CoV-2 antibodies in those who received the Pfizer BioNTech (BNT162b2) vaccine, 6 months after the third vaccination. Method(s): Samples from 40 healthy volunteers were used to measure SARS-CoV-2 antibodies with chemiluminescent assays against the receptor-binding domain (RBD) of the virus. Result(s): At 445 days after the first dose of BNT162b2, which is 180 days after the third vaccination, the mean anti-RBD IgG level was 159.4 AU/mL (SD 100.1 AU/mL), which was significantly higher than 144 days after the second vaccination, while mean anti-RBD IgM was baseline level (0.4 C.O.I.). The decline in IgG, 180 days after the third vaccination, was 74.1% (SD 16.1%), which was significantly lower than the 88.6% (SD 4.4%) decline observed 144 days after the second vaccination. Furthermore, we revealed that the reduction in IgG from 14 to 180 days after the third vaccination showed a significant inverse correlation with age, and the higher antibody response in younger participants at 14 days after the third vaccination disappeared at longer time points. Conclusion(s): The long-term durability of the IgG titer was significantly higher following the third vaccination compared with the second vaccination, and the reduction in IgG titer after the third vaccination inversely correlated with age.Copyright © 2022 the author(s), published by De Gruyter, Berlin/Boston.
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Background: The risk for transmission of COVID-19 to people in close contact with infected people, especially healthcare workers, has not been well estimated. Therefore the present study was conducted to assess the household secondary attack rate (SAR) of COVID-19 among healthcare workers and related factors. Material(s) and Method(s): The present prospective case-ascertained study was conducted on 202 healthcare workers with confirmed COVID-19 in Hamadan, diagnosed from March 1, 2020, to August 20, 2020. For households with close contact with the index case, RT-PCR was performed regardless of symptoms. We defined SAR as the proportion of secondary cases from the total contacts that live in the index case household. SAR was reported as a percentage and 95% confidence interval (CI). Multiple logistic regression was performed to explore the predictors of COVID-19 transmission of index cases to their households. Result(s): We found 36 secondary cases out of 391 household contacts with laboratory confirmation (RT-PCR), representing a household SAR of 9.2% (95% CI: 6.3, 12.1). Among factors related to the family member, female gender (OR: 2.9, 95% CI: 1.2, 6.9), being the patient's spouse (OR: 2.2, 95% CI: 1.0, 4.6), and living in the apartment (OR: 2.78, 95% CI: 1.24, 6.23), and among factors related to index cases, hospitalization (OR: 5.9, 95% CI: 1.3, 26.9) and caught (OR: 2.4, 95% CI: 1.1, 5.2) were the significant predictors of disease transmission to other family members (P<0.05). Conclusion(s): The findings of this study suggest that the SAR is remarkable in household contacts of infected healthcare workers. Some characteristics of family members of the index case, including female gender, being the patient's spouse, and living in the apartment, and some characteristics of the index case, including hospitalization and caught, were associated with the increased SAR.Copyright © 2022 NRITLD, National Research Institute of Tuberculosis and Lung Disease, Iran.
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Background: The importance of early diagnosis of a hazardous illness cannot be overstated. The transmission rate is extremely high, especially in the current pandemic condition. The ability to predict epidemics will aid public health in reducing mortality and morbidity. Machine Learning (ML) approaches are used in the construction of an effective disease prognosis model. Furthermore, only if the model learns good associated features from the data is it possible to generate a speedy outcome. As a result, selecting features is also necessary before beginning the forecasting process. Objective(s): However, because of the virus's dynamic structure, it's difficult to predict Nipah disease and/or zoonotic infection. Furthermore, there is no clinical treatment for Nipah. The major goal of this research is to develop a prognostic model for early diagnosis of Nipah disease using a combination of several clinical factors such as symptoms, disease incubation information, and routine blood test results confirmed by a lab technician.Proposed System: The healthcare application and data are more complex to handle than other ML applications since various clinical features are assessed throughout disease manifestation. As a result, selecting the most relevant variables is critical when designing a prognosis model for any viral disease. To deal with clinical features from a vast number of features, we proposed a Restricted Boltzmann Machine (RBM) method in this research. Additionally, we employed a hybrid ensemble learning method to predict if the patient was infected with NiV after choosing features using the RBM. Data Collection: The proposed system is being implemented using the NiV infection dataset that erupted in Kozhikode, Kerala in 2018 and 2019. Result(s): The developed stacking-based ensemble Meta classifier was successfully implemented using the python programming language, and its performance was evaluated using a variety of metrics includingaccuracy, precision, recall, f1-score, log loss, AUROC and MCC. Our proposed Stacking Ensemble Meta Classifier (SEMC) model achieved an accuracy rate of 88.3% with a log loss of 0.36. Model precision, recall, f1-score, AUROC, and MCC value were 92.5%, 89.2%, 90.9%, 92.1%, and 0.74 respectively. In addition, we calculated the gravitational pull of each feature using the SHAP approach and discovered that altered sensorium, fever, headache, and cough were the most critical clinical indicators that distinguished NiVD infection from our dataset. Therefore, this classification may assist the pathologist in diagnosing NiVD with symptoms before performing the RT-PCR medical test. Conclusion(s): Using our proposed SEMC technique, we developed a prognostic model for the diagnosis of Nipah in humans. The proposed technique's discriminatory efficiency exhibited good NiVD diagnosis efficacy. We anticipate that this model will aid medics in determining a prognosis more quickly during future epidemics. However, to achieve maximum accuracy, the model requires more unique samples.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Background/Aim. Plasma containing a high titer of anti-SARS-CoV-2 antibodies, donated from individuals who re-covered from COVID-19, has the potential to be used as initial therapy for patients who have been infected (passive immunization). It is a challenge to find suitable donors. The aim of the study was to successively monitor antibody titer in donations and to investigate the correlation between an-tibody titer and the severity of the clinical manifestations. Methods. The retrospective study was conducted from May 1 to October 31, 2020, at the Blood Transfusion Insti-tute of Vojvodina. Donors had to meet certain criteria for inclusion in the study: proven SARS-CoV-2 infection, de-tected SARS-CoV-2 antibodies in the serum/plasma, ful-fillment of general criteria for performing plasmapheresis, and adequate laboratory findings. Results. During the study, 651 apheresis plasma units were collected and divided into two equal doses. Plasma was donated by 311 COVID-19 convalescents, including 208 (66.9%) men and 103 (33.1%) women. There were 15 (4.8%) plasma donors with asymptomatic infection, 235 (75. 6%) with a mild form of illness, 45 (14.5%) with a moderate form of illness, 16 (5.1%) with a severe form of illness, and none with a critical form of illness. Anti-SARS-CoV-2 IgG antibodies were pre-sent in the plasma of donors for more than 6 months after the disease. Plasma donors with a more severe clinical mani-festation of COVID-19 had stable antibody levels for a longer period. However, the Pearson correlation of clinical severity and antibody titer did not confirm a statistically sig-nificant correlation between the variables. Conclusion. An-ti-SARS-CoV-2 antibodies were present in the sample of re-covered patients, plasma donors, for more than 6 months after the disease. Even though no statistically significant correlation was found between the anti-SARS-CoV-2 anti-body titer and the clinical severity of COVID-19, in patients with a more severe clinical manifestations of the disease, stable antibody levels were maintained for a longer period.Copyright © 2022 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.
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Background. Since the start of the COVID-19 pandemic, Chad has had 7,417 confirmed cases and 193 deaths, one of the lowest in Africa. Objective. This study assessed SARS-CoV-2 immunity in N'Djamena. Methods. In August-October 2021, eleven N'Djamena hospitals col-lected outpatient data and samples. IgG antibodies against SARS-CoV-2 nucleocapsid protein were identified using ELISA. "Bambino Gesu" Laboratory, Rome, Italy, performed external quality control with chemiluminescence assay. Results. 25-34-year-old (35.2%) made up the largest age group at 31.9+/-12.6 years. 56.4% were women, 1.3 women/men. The 7th district had 22.5% and the 1st 22.3%. Housewives and students dominated. Overall seroprevalence was 69.5% (95% CI: 67.7-71.3), females 68.2% (65.8-70.5) and males 71.2% (68.6-73.8). >44-year-old had 73.9% seroprevalence. Under-15s were 57.4% positive. Housewives (70.9%), civil servants (71.5%), and health workers (9.7%) had the highest antibody positivity. N'Djamena's 9th district had 73.1% optimism and the 3rd district had 52.5%. Seroprevalences were highest at Good Samaritan Hospital (75.4%) and National General Referral Hospital (74.7%). Conclusion. Our findings indicate a high circulation of SARS-CoV-2 in N'Djamena, despite low mortality and morbidity after the first two COVID-19 pandemic waves. This high seroprevalence must be considered in Chad's vaccine policy.Copyright © 2022 The Authors and PAGEPRESS PUBLICATIONS.