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1.
2022 IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1831724

ABSTRACT

In this pandemic situation of COVID 19 virus attack in human race for the last few months the disease occurrence prediction and patient's condition monitoring is being a major thrust area in the global medical field by the researchers. The major problem of this disease is that the asymptomatic patient are acting as a carrier without knowledge. Which leads to a major threat in spreading the disease which even cause death in other people even after maintaining the social distancing. More over according to the research, rate of death is more in heart related disease affected patients. There is a vital need to detect cases at the early stages to minimize mortality especially in heart patients. In our work, we have designed and developed a trained Artificial Neural Network which can predict COVID 19 in asymptomatic patients and also can used for conditioning monitoring in COVID affected patients. Here we have used 2500 patients' details as training and testing data for the ANN network and 50 Symptoms as input variables. The Patients data are collected in Government Sivagangai Medical College and Hospital, Thirupathur village, Sivagangai district, Tamilnadu, India. © 2022 IEEE.

2.
Colombian Journal of Anesthesiology ; 50(2):1-9, 2022.
Article in Spanish | Academic Search Complete | ID: covidwho-1811128

ABSTRACT

Introduction: The SARS-CoV-2 pandemic has led to the cancellation of non-emergent surgeries in order to optimize the use of resources. Once the elective medical services are restored, a technical and ethical strategy becomes critical to select candidate patients for elective surgery. Objective: To describe the results from the implementation of MeNTS (Medically Necessary Timesensitive Procedures), FI-CGA, and survey on COVID-19 symptoms Scales, as methods for the selection of patients who were candidates for elective surgery during the SARS-CoV-2 pandemic, in a third level institution in Cali, Colombia. Methods: The databases of the results on the administration of MeNTS, frailty index (FI-CGA) and COVID 19 symptoms scales in patients who were candidates for elective surgery in a third level clinic in Cali city, between March 1st and August 31st, 2020 were reviewed. Results: A total of 1,044 patients were included, of which 647 (62.0 %) were females, with a median age of 52 years (interquartile range [IQR] 38-62). 98 % of the patients were asymptomatic, the overall median score for MeNTS was 48 (IQR 44-52) and the average for FI-CGA was 0.0 (standard deviation 0.1). Conclusions: MeNTS, FI-CGA and the Symptoms Survey are easily accessible scales amidst the pandemic and are helpful to select patients with intermediate and low risk of perioperative morbidity in elective surgery during the SARS-CoV-2 pandemic. Further studies are required to confirm these findings and to clarify the potential of these tools in the selection of patients that meet the high-risk criteria. (English) [ FROM AUTHOR] Introducción: La pandemia por SARS-CoV-2 ha ocasionado la suspensión de cirugías no urgentes con el fin de optimizar los recursos. Una vez los servicios médicos electivos son restablecidos, es fundamental disponer de una estrategia técnica y ética para la selección de los pacientes candidatos a cirugía electiva. Objetivo: Describir los resultados observados durante la implementación de las escalas MeNTS (Medically Necessary Time-sensitive Procedures), IF-VIG y Encuesta de síntomas para COVID-19, como métodos de selección de pacientes candidatos a cirugía electiva durante la pandemia por SARS-CoV-2 en una institución de nivel tres en la ciudad de Cali, Colombia. Metodología: Se revisaron las bases de datos de los resultados de la aplicación de escalas de MeNTS, índice de fragilidad (IF-VIG) y los síntomas para COVID 19, en pacientes candidatos a cirugía electiva en una clínica de tercer nivel en la ciudad de Cali, entre marzo 1 y agosto 31 del 2020. Resultados: En total 1.044 pacientes fueron incluidos, de los cuales 647 (62,0 %) fueron mujeres con una mediana de edad de 52 años (rango intercuartil [RIC] 38-62). El 98 % de los pacientes estuvieron asintomáticos, la mediana general de la puntuación total de MeNTS fue 48 (RIC 44-52) y el promedio para IF-VIG fue de 0,0 (desviación estándar 0,1). Conclusiones: MeNTS, IF-VIG y Encuesta de síntomas, son escalas fácilmente accesibles durante tiempos de pandemia y son de utilidad para seleccionar pacientes de riesgo intermedio y bajo de morbilidad perioperatoria en cirugía electiva durante la pandemia por SARS-CoV-2. Se requieren futuros estudios para confirmar estos hallazgos y para clarificar su potencial en la selección de pacientes con criterios que los definan como de riesgo alto. (Spanish) [ FROM AUTHOR] Copyright of Colombian Journal of Anesthesiology / Revista Colombiana de Anestesiología is the property of Sociedad Colombiana de Anestesiologia y Reanimacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

3.
Journal of Heart & Lung Transplantation ; 41(4):S392-S392, 2022.
Article in English | Academic Search Complete | ID: covidwho-1783391

ABSTRACT

The characteristics and outcomes, including acute cellular rejection (ACR), of lung transplant recipients (LTR) post COVID-19 infection are incompletely studied. We sought to show whether or not COVID-19 infection in LTR is associated with ACR. This single center, retrospective study of LTR examined data among those who contracted COVID-19 between June 2020 and May 2021. Patient demographics, immunosuppression regimen, and hospital course related to COVID-19 infection were recorded. Subsequent spirometry, imaging, and biopsy results were documented. We identified 16 LTR who tested positive for COVID by PCR testing. Acute radiographic changes were detected in half (8) of the cohort, 3 patients eventually required ICU admission, 1 which required venovenous extracorporeal membrane oxygenation. The median drop in FEV1 and FVC after COVID-19 infection was -375 (-1140 to +120) and -260mL (-1790 to +410), respectively. ACR was diagnosed in 2 patients at 6 weeks post COVID-19 infection. Both of the patients who were diagnosed with ACR required hospitalization, and one required ICU admission. There was 1 death at >6 months after infection due to progressive chronic lung allograft dysfunction and renal failure. This analysis characterizes short and intermediate term outcomes of LTR after COVID-19 infection. Specifically, the association between such infection and both rates of ACR and allograft function is uniquely described. ACR was observed in 12.5% of patients 6 weeks post COVID-19 infection. There was a notable reduction in lung function, which was mostly accounted for by the 3 patients in our cohort who required ICU admission. This study has several limitations. The sample size is small and involves a single center. It is also retrospective in nature, and there were a large number of asymptomatic patients included. Further analyses, to further assess the incidence of ACR in LTR are warranted to determine the associated factors and optimize management in this at risk patient population. [ FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

4.
Jpn J Infect Dis ; 75(2): 144-147, 2022 Mar 24.
Article in English | MEDLINE | ID: covidwho-1761194

ABSTRACT

With the spread of coronavirus disease, reports have indicated that young patients are usually asymptomatic with a short convalescence period. The current study compared the time to resolution of infection in symptomatic and asymptomatic patients. Seventy-six patients aged 44.4 ± 23.3 years were admitted to the coronavirus disease 2019 (COVID-19) unit during the study period. Data were collected from patient records. Throat and nasal swabs for COVID-19 were collected for reverse transcriptase-polymerase chain reaction (RT-PCR). Time to resolution of infection was defined as the number of days from the date of the first COVID-19 positive outcome to the second consecutive negative PCR results. Most patients showed COVID-19 signs and symptoms (71.1%) between 1 and 6 days, and the rest were asymptomatic. No association was found between the time to resolution of infection and the presence of COVID-19 signs and symptoms (symptomatic: median [Md] 10.0, 95% confidence interval [CI] 8.4-11.6; asymptomatic: Md 15.0, 95% CI 10.5-15.5; P = 0.54). Age was not correlated with the number of COVID-19 signs and symptoms (r = 0.13, P = 0.37) or with the time to resolution of infection (r = 0.06, P = 0.58). In patients with mild to moderate symptoms, the time to resolution of infection from COVID-19 is not different from that in asymptomatic patients.


Subject(s)
COVID-19 , Adult , Aged , COVID-19/diagnosis , COVID-19 Testing , Hospitalization , Humans , Israel/epidemiology , Middle Aged , SARS-CoV-2 , Young Adult
5.
5th International Conference on Information Systems and Computer Networks, ISCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759097

ABSTRACT

Novel Coronavirus disease (COVID-19) is an infectious disease that has been declared as a pandemic by the World Health Organization. Both symptomatic, as well as asymptomatic patients, are equally likely capable of spreading the virus among the population. Therefore, a real-time tracing of COVID-19 suspects and their identification by a computer-based algorithm is a need of the current times, so that the spreaders could be isolated and the mushrooming should be halted. In this paper, we introduced a fractional order variational model for the early prediction and detection of COVID-19 suspects based on the CXR image sequence. The identification is performed in terms of optical flow color map. The proposed technique would be financially cheaper, require less time and manpower in comparison to the available techniques. The presented model keeps discontinuous information about texture and edges and offers a dense flow field for minuscule variations. The Grünwald-Letnikov derivative is employed for discretizing the complex fractional order partial derivatives. The validity of the model is verified through a variety of experimental results on various datasets. © 2021 IEEE.

6.
60th IEEE Conference on Decision and Control, CDC 2021 ; 2021-December:3531, 2021.
Article in English | Scopus | ID: covidwho-1746111

ABSTRACT

The COVID-19 pandemic that has swept the world has shown a wide variety of behavior across countries, ranging from a gentle rise and gentle fall in India, to multiple waves with each peak higher than its predecessor in the USA, UK, and other countries. It is therefore a challenge to present a unified model that can manifest this wide range of behavior. In this paper, we present a new mathematical model called SUTRA for pandemics that have undetected (asymptomatic) patients, and demonstrate that it does indeed accurately predict the variety of behavior observed during the COVID-19 pandemic. The acronym SUTRA stands for Susceptible, Undetected, Tested (positive), and Removed Approach. There are several novel features of our proposed model. First, whereas previous papers have divided the patient population into Asymptomatic and Infected, we divide patients instead into Tested (T) and Undetected (U). This explicitly accounts for the fact that, due to contact tracing and other such protocols, some fraction of asymptomatic patients do get detected. Second, we introduce a parameter called "reach,"to take into account the spatial spread of apandemic over time. Third, we present numerically stable methods for estimating the parameters in our model.We have applied our model to predict the progression of the COVID-19 pandemic in several countries, displaying a variety of behaviors. In all cases, the predictions closely match the actually observed outcomes. In the interests of brevity, we present only the predictions for India. © 2021 IEEE.

7.
11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021 ; 829 LNEE:467-473, 2022.
Article in English | Scopus | ID: covidwho-1718618

ABSTRACT

Due to the outbreak of corona virus disease (COVID-19) globally, many countries are facing shortages of testing kits and medical resources. Moreover, the current COVID-19 swab test cannot easily perform due to asymptomatic patients. To assist the medical staff, few studies have proposed to detect and classify COVID-19 cases by analyzing radiological images. In this paper, we aim to develop an alternative method using chest X-ray images to provide an automatic and faster diagnosis. Convolutional neural network models that can detect the presence of COVID-19 and pneumonia infection from chest X-ray images are developed by exploiting transfer learning techniques. Three models were developed for comparison, the models yielded an accuracy of 97.3%, 98.2%, and 97.3% respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

8.
Front Med (Lausanne) ; 9: 830942, 2022.
Article in English | MEDLINE | ID: covidwho-1686500

ABSTRACT

Background: Asymptomatic transmission is a major concern for SARS-CoV-2 community spread; however, little information is available on demographic, virological characteristics and prognosis of asymptomatic cases. Methods: All COVID-19 patients hospitalized in Guangdong Province from September 1, 2020 to February 28, 2021, were included and were divided into asymptomatic and symptomaticgroup. The source country of all patients, clinical laboratory test results, the genotype of virus and the time of SARS-CoV-2 RNA turning negative or hospitalization were confirmed. Results: Total 233 patients from 57 different countries or regions were included, with 83 (35.6%) asymptomatic and 150 (64.4%) symptomatic patients. Asymptomatic cases were younger (P = 0.019), lower rate in comorbidities (P = 0.021) such as hypertension (P = 0.083) and chronic liver disease (P = 0.045), lower PCT (P = 0.021), DDI (P < 0.001) and ALT (P = 0.029), but higher WBC count (P = 0.002) and lymphocyte (P = 0.011) than symptomatic patients. As for SARS-CoV-2 subtypes, patients infected with B.1.1 (53.8%), B.1.351 (81.8%) and B.1.524 (60%) are mainly asymptomatic, while infected with B, B.1, B.1.1.63, B.1.1.7, B.1.36, B.1.36.1, B.1.36.16, B.1.5 and B.6 were inclined to be symptomatic. Patients infected with variant B.1.351 and B.1.524 spent longer time in SARS-CoV-2 RNA turn negative (26 days, P = 0.085; 41 days, P = 0.007) and hospitalization (28 days, P = 0.085; 43 days, P = 0.004). Conclusions: The asymptomatic cases are prone to develop in patients with younger age, less comorbidities andinfected with B.1.1 and B.1.524 variants. More attention should be paid for lineage B.1.524 because it can significantly prolong the SARS-CoV-2 RNA negative conversion time and hospitalization in infected cases.

9.
Front Public Health ; 9: 788581, 2021.
Article in English | MEDLINE | ID: covidwho-1648288

ABSTRACT

Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigen (Ag) tests have been widely employed to identify patients for a rapid diagnosis and pandemic control. Rapid lateral-flow techniques are currently the most used, but automated technologies have emerged as another viable alternative to molecular methods. We aimed to evaluate the analytical performance of the DiaSorin Liaison SARS-CoV-2 Ag test in asymptomatic population and close contacts, for its use as a tool in pandemic control efforts. Material and Methods: A retrospective study was conducted. A total of 861 samples were included, 291 (34%) were positive for SARS-CoV-2 with cycle threshold (Ct) <40, and 570 (66%) were negative. Results: A strong correlation was observed between reverse transcriptase-PCR (RT-PCR) Ct and Ag 50% Tissue Culture Infectious Dose per milliliter (TCID50/ml; r = 0.6486; p < 0.0001) and all RT-PCR negative samples tested negative for the 200 TCID50/ml SARS-Cov-2 Ag cutoff, i.e., a specificity of 100% was reached (95% CI: 99.4-100.0%). Samples with <25 Ct and/or >106 extrapolated copies/ml were reached a sensitivity of 100% (95% IC 97.0-100.0%). For intermediate viral loads (>105 extrapolated copies/ml or <30 Ct), the sensitivity value still exceeded 80%. As with other Ag methods, samples between 30 and 40 Ct could not be detected with a reliable sensitivity. Conclusions: The LIAISON® SARS-CoV-2 Ag assay displays an acceptable sensitivity and a very high specificity that is useful for detecting the presence of SARS-CoV-2 in nasal swabs (NPS) of asymptomatic population or to regular monitoring of risk groups in controlled settings. Additionally, the flexibility in processing different samples and in the sampling preparation process makes this test an option for its use in high throughput laboratories. Automated tests may facilitate result reporting and yield consistent data, while avoiding some of the pitfalls of rapid lateral-flow techniques, such as observer variability.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Pandemics , Retrospective Studies , Sensitivity and Specificity
10.
Results Phys ; 34: 105195, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1621008

ABSTRACT

In this paper, we propose a new SAIR model to depict the transmission dynamics of a novel coronavirus in China. We focus on the ability of asymptomatic COVID-19 patients to transmit and the potential impact of population movements on renewed outbreak transmission. Qualitative analysis of the model shows that when the basic productive number R 0 > 1 , the system will stabilize towards a unique endemic equilibrium and pass through a transcritical bifurcation around its disease-free equilibrium. Furthermore, by constructing an appropriate Lyapunov function, we prove that the disease-free equilibrium and endemic equilibrium are globally asymptotically stable under appropriate parameter conditions. Finally, some important results have been verified by numerical simulations.

11.
Critical Care Medicine ; 50:141-141, 2022.
Article in English | Academic Search Complete | ID: covidwho-1591552

ABSTRACT

Four patients underwent off-pump cardiac surgery and 21 underwent on-pump cardiac surgery with a median cardiopulmonary bypass time of 85 minutes (interquartile range (IQR, 50-147). B Conclusions: b Although early respiratory outcomes of asymptomatic COVID-19 patients who underwent early cardiac surgery appeared to be satisfactory, compared to the propensity-scored matched non-COVID group, the postoperative outcomes were worse, especially in the ICU readmitted patients. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

12.
10th Brazilian Conference on Intelligent Systems, BRACIS 2021 ; 13074 LNAI:121-132, 2021.
Article in English | Scopus | ID: covidwho-1599541

ABSTRACT

Early identification of patients with COVID-19 is essential to enable adequate treatment and to reduce the burden on the health system. The gold standard for COVID-19 detection is the use of RT-PCR tests. However, due to the high demand for tests, these can take days or even weeks in some regions of Brazil. Thus, an alternative for detecting COVID-19 is the analysis of Digital Chest X-rays (XR). Changes due to COVID-19 can be detected in XR, even in asymptomatic patients. In this context, models based on deep learning have great potential to be used as support systems for diagnosis or as screening tools. In this paper, we propose the evaluation of convolutional neural networks to identify pneumonia due to COVID-19 in XR. The proposed methodology consists of a preprocessing step of the XR, data augmentation, and classification by the convolutional architectures DenseNet121, InceptionResNetV2, InceptionV3, MovileNetV2, ResNet50, and VGG16 pre-trained with the ImageNet dataset. The obtained results for our methodology demonstrate that the VGG16 architecture presented a superior performance in the classification of XR, with an Accuracy of 85.11 %, Sensitivity of 85.25 %, Specificity of 85.16 %, F1-score of 85.03 %, and an AUC of 0.9758. © 2021, Springer Nature Switzerland AG.

13.
Infect Dis (Lond) ; 54(4): 241-246, 2022 04.
Article in English | MEDLINE | ID: covidwho-1517764

ABSTRACT

BACKGROUND: Italy experienced SARS-CoV-2 spread during the second wave and the southern regions were severely affected. In this prospective study, we assessed the changes in SARS-CoV-2 seroprevalence rates in non-vaccinated blood donors to evaluate the spread of SARS-CoV-2 among healthy individuals in our geographical area. METHODS: 8,183 healthy blood donors visiting the Transfusion Centre at the University Hospital "Riuniti" of Foggia (Italy) to donate blood from May 2020 to March 2021 were tested twice for anti-SARS-CoV-2 antibodies by Ortho Clinical Diagnostics VITROS® 3600 through anti-SARS-CoV-2 Total and IgG reagent kit. None of the subjects had diagnosed symptomatic COVID-19 infection, and none had received vaccination. RESULTS: Overall, 516 out of 8,183 had antibodies to SARS-CoV-2 (total and IgG antibodies) (6.3%, 95% CI: 0.03-0.15%), 387 were male and 129 female. There was a significant increase of seropositive donors from May 2020 to March 2021 (p < .001). The difference in seroprevalence was significantly associated with age but not sex (2-sided p < .05 for age; 2-sided p ≥ .05 for sex) in both groups. CONCLUSIONS: Our study showed a significant increase in SARS-CoV-2 seroprevalence in blood donors and suggests that asymptomatic individuals might contribute to the spread of SARS-CoV-2. These results may contribute to revised containment measures, priorities in vaccine campaigns and monitoring of seroprevalence in public places like Transfusion Centres. Serologic testing of blood donors may be relevant to monitor SARS-CoV-2 circulation in the general population.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , Blood Donors , Child, Preschool , Female , Humans , Male , Pandemics , Prospective Studies , Seroepidemiologic Studies
14.
J Infect Chemother ; 28(1): 78-81, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1482719

ABSTRACT

INTRODUCTION: Digital immunoassays are generally regarded as superior tests for the detection of infectious disease pathogens, but there have been insufficient data concerning SARS-CoV-2 immunoassays. METHODS: We prospectively evaluated a novel digital immunoassay (RapidTesta SARS-CoV-2). Two nasopharyngeal samples were simultaneously collected for antigen tests and Real-time RT-PCR. RESULTS: During the study period, 1127 nasopharyngeal samples (symptomatic patients: 802, asymptomatic patients: 325) were evaluated. For digital immunoassay antigen tests, the sensitivity was 78.3% (95% CI: 67.3%-87.1%) and the specificity was 97.6% (95% CI: 96.5%-98.5%). When technicians visually analyzed the antigen test results, the sensitivity was 71.6% (95% CI: 59.9%-81.5%) and the specificity was 99.2% (95% CI: 98.5%-99.7%). Among symptomatic patients, the sensitivity was 89.4% (95% CI; 76.9%-96.5%) with digital immunoassay antigen tests, and 85.1% (95% CI; 71.7%-93.8%) with visually analyzed the antigen test, respectively. CONCLUSIONS: The sensitivity of digital immunoassay antigen tests was superior to that of visually analyzed antigen tests, but the rate of false-positive results increased with the introduction of a digital immunoassay device.


Subject(s)
COVID-19 , SARS-CoV-2 , Antigens, Viral , Humans , Immunoassay , Sensitivity and Specificity
15.
Arq. bras. cardiol ; 117(2): 415-415, ago. 2021.
Article in English, Portuguese | WHO COVID, LILACS (Americas) | ID: covidwho-1399820
16.
Front Immunol ; 12: 700449, 2021.
Article in English | MEDLINE | ID: covidwho-1325531

ABSTRACT

The identification of asymptomatic, non-severe presymptomatic, and severe presymptomatic coronavirus disease 2019 (COVID-19) in patients may help optimize risk-stratified clinical management and improve prognosis. This single-center case series from Wuhan Huoshenshan Hospital, China, included 2,980 patients with COVID-19 who were hospitalized between February 4, 2020 and April 10, 2020. Patients were diagnosed as asymptomatic (n = 39), presymptomatic (n = 34), and symptomatic (n = 2,907) upon admission. This study provided an overview of asymptomatic, presymptomatic, and symptomatic COVID-19 patients, including detection, demographics, clinical characteristics, and outcomes. Upon admission, there was no significant difference in clinical symptoms and CT image between asymptomatic and presymptomatic patients for diagnosis reference. The mean area under the receiver operating characteristic curve (AUC) of the differential diagnosis model to discriminate presymptomatic patients from asymptomatic patients was 0.89 (95% CI, 0.81-0.98). Importantly, the severe and non-severe presymptomatic patients can be further stratified (AUC = 0.82). In conclusion, the two-step risk-stratification model based on 10 laboratory indicators can distinguish among asymptomatic, severe presymptomatic, and non-severe presymptomatic COVID-19 patients on admission. Moreover, single-cell data analyses revealed that the CD8+T cell exhaustion correlated to the progression of COVID-19.


Subject(s)
Asymptomatic Infections , COVID-19/diagnosis , Aged , CD8-Positive T-Lymphocytes/pathology , China/epidemiology , Diagnosis, Differential , Disease Progression , Female , Humans , Male , Middle Aged , Models, Statistical , Prognosis , Risk Assessment , SARS-CoV-2
17.
Open Respir Med J ; 15: 28-34, 2021.
Article in English | MEDLINE | ID: covidwho-1304522

ABSTRACT

BACKGROUND: The symptoms of COVID-19 have a wide range of severity ranging from no symptoms at all to mild symptoms, such as fever, cough, sore throat, general weakness. Moreover, in some situations, patients may develop severe complications as pneumonia, and sepsis, leading to death. This study aims to investigate the characteristic features of COVID-19 patients based on their medical condition prior to COVID-19 diagnosis. METHODS: A retrospective cohort study took place between the 1st of April 2020 and the 31st of June 2020 in Prince Hamzah Hospital, Jordan. Patients were diagnosed by the Real-Time Reverse Transcriptase (RT)-PCR Diagnostic Panel, either through screening or for those who developed symptoms. During this period, patients who tested positive for COVID 19 were admitted to the hospital regardless of their symptoms according to the local government health policies. A total of 508 Patients were involved and divided into two groups based on the presence or absence of chronic illnesses prior to COVID-19 diagnosis. RESULTS: A total of 371 patients were medically free (220 males and 151 females). Among them, 153 patients were symptomatic (41.2%), with an average hospitalization of 18 days. Generalized malaise, dry cough, and fever were the most common reported symptoms (51%, 45.8%, and 41.8%, respectively). On the other hand, the total number of COVID-19 patients with predefined comorbidities was 137 (93 males and 44 females). Among them, 86 patients (62.8%) were symptomatic, with an average duration of admission of 19.3 days. Similar to medically free patients, dry cough, generalized malaise, and fever were the most commonly reported symptoms (50%, 43%, and 38.4%, respectively). There was a statistically significant correlation between the presence of chronic illnesses and the development of symptoms among COVID-19 patients (P = 0.0001). CONCLUSION: Dry cough, generalized malaise, and fever were the most commonly reported symptoms among our patients regardless of their medical condition. The average duration of hospitalization in medically free patients was less than patients with comorbidities, and it was less among asymptomatic compared to symptomatic patients. More than half of our COVID-19 patients were male and asymptomatic. A significant correlation between patients' medical condition and the possibility of developing symptoms in response to COVID-19 was identified.

18.
Pathogens ; 10(7)2021 Jul 03.
Article in English | MEDLINE | ID: covidwho-1295895

ABSTRACT

During the coronavirus disease 2019 (COVID-19) pandemic, several case studies demonstrated that many asymptomatic patients with COVID-19 underwent fluorine-18 fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) examination for various indications. However, there is a lack of literature to characterize the pattern of [18F]FDG PET/CT imaging on asymptomatic COVID-19 patients. Therefore, a systematic review to analyze the pulmonary findings of [18F]FDG PET/CT on asymptomatic COVID-19 patients was conducted. This systematic review was performed under the guidelines of PRISMA. PubMed, Medline, and Web of Science were used to search for articles for this review. Articles with the key words: "asymptomatic", "COVID-19", "[18F]FDG PET/CT", and "nuclear medicine" were searched for from 1 January 2020 to 20 May 2021. Thirty asymptomatic patients with COVID-19 were included in the eighteen articles. These patients had a mean age of 62.25 ± 14.85 years (male: 67.71 ± 12.00; female: 56.79 ± 15.81). [18F]FDG-avid lung lesions were found in 93.33% (28/30) of total patients. The major lesion was [18F]FDG-avid multiple ground-glass opacities (GGOs) in the peripheral or subpleural region in bilateral lungs, followed by the consolidation. The intensity of [18F]FDG uptake in multiple GGOs was 5.605 ± 2.914 (range from 2 to 12) for maximal standardized uptake value (SUVmax). [18F]FDG-avid thoracic lymph nodes (LN) were observed in 40% (12/40) of the patients. They mostly appeared in both mediastinal and hilar regions with an SUVmax of 5.8 ± 2.93 (range from 2.5 to 9.6). The [18F]FDG uptake was observed in multiple GGOs, as well as in the mediastinal and hilar LNs. These are common patterns in PET/CT of asymptomatic patients with COVID-19.

19.
Pediatr Allergy Immunol ; 32(8): 1833-1842, 2021 11.
Article in English | MEDLINE | ID: covidwho-1282025

ABSTRACT

BACKGROUND: Although SARS-CoV-2 immunizations have started in most countries, children are not currently included in the vaccination programs; thus, it remains crucial to define their anti-SARS-CoV-2 immune response in order to minimize the risk for other epidemic waves. This study sought to provide a description of the virology ad anti-SARS-CoV-2 immunity in children with distinct symptomatology. METHODS: Between March and July 2020, we recruited 15 SARS-CoV-2 asymptomatic (AS) and 51 symptomatic (SY) children, stratified according to WHO clinical classification. We measured SARS-CoV-2 viral load using ddPCR and qPCR in longitudinally collected nasopharyngeal swab samples. To define anti-SARS-CoV-2 antibodies, we measured neutralization activity and total IgG load (DiaSorin). We also evaluated antigen-specific B and CD8+T cells, using a labeled S1+S2 protein and ICAM expression, respectively. Plasma protein profiling was performed with Olink. RESULTS: Virological profiling showed that AS patients had lower viral load at diagnosis (p = .004) and faster virus clearance (p = .0002) compared with SY patients. Anti-SARS-CoV-2 humoral and cellular response did not appear to be associated with the presence of symptoms. AS and SY patients showed similar titers of SARS-CoV-2 IgG, levels of neutralizing activity, and frequency of Ag-specific B and CD8+ T cells, whereas pro-inflammatory plasma protein profile was found to be associated with symptomatology. CONCLUSION: We demonstrated the development of anti-SARS-CoV-2 humoral and cellular response with any regard to symptomatology, suggesting the ability of both SY and AS patients to contribute toward herd immunity. The virological profiling of AS patients suggested that they have lower virus load associated with faster virus clearance.


Subject(s)
COVID-19 , Antibodies, Viral/blood , B-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/immunology , COVID-19/immunology , Child , Humans , Immunoglobulin G/blood , SARS-CoV-2 , Serologic Tests
20.
PeerJ ; 9: e11560, 2021.
Article in English | MEDLINE | ID: covidwho-1270239

ABSTRACT

BACKGROUND: To date, information on COVID-19 pediatric patients is still sparse. We aimed to highlight the epidemiological and clinical data regarding SARS-CoV-2 infection in children and adolescents to improve the understanding of the disease in this age group and inform physicians during the ongoing COVID-19 pandemic. METHODS: We conducted a retrospective, observational study in "Marie Curie" Emergency Children's Hospital from Bucharest, Romania. We analyzed clinical and epidemiological characteristics of the patients confirmed with SARS-CoV-2 infection, between April 1, 2020-October 31, 2020. RESULTS: A total of 172 patients aged 0-18 years were included, 79 (45.93%) female and 93 (54.07%) male patients. 28 (16.28%) patients had co-morbidities (more often identified in asymptomatic group; p < 0.0001). 47 (27.32%) had exposure to an identified source. 30 (17.44%) patients were asymptomatic; 142 (85.56%) had mild or moderate disease. The most frequent symptoms were: pyrexia (78.87%), digestive symptoms (50%), cough (40.14%). Chest X-ray was performed in 50 patients and it was abnormal in half of them, all being symptomatic. About 2/3 of the evaluated patients had normal leukocytes. The most common hematological change was lymphopenia; monocytes tended to be higher in symptomatic patients. About 40% of the patients were admitted; none required admission to ICU. No significant differences were found between symptomatic and asymptomatic patients regarding gender, age distribution, and exposure to a source. CONCLUSIONS: All the patients had asymptomatic, mild or moderate disease. Patients with comorbidities, classically considered high risk patients, presented the same pattern of disease.

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