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1.
Chinese Journal of Zoonoses ; 37(12):1135-1140, 2021.
Article in Chinese | GIM | ID: covidwho-1818310

ABSTRACT

This study aimed to evaluate the etiological and clinical characteristics of acute upper respiratory tract infections in children from GuangZhou, China. A total of 2 665 nose swabs specimen collected from children with acute upper respiratory tract infections from Zhujiang Hospital, Southern Medical University, Guangzhou, China during November 2009 to September 2015 were enrolled in this study. There were 1 566 virus positive responses were detected in samples from 2665 child patients with acute upper respiratory infections, with the positive rate of 58.8%. The positive rates were 22.5% for respiratory sycytial virus (RSV), 13.0% for rhinovirus (HRV), 9.0% for influenza virus (FLU), 7.6% for parainfluenza virus (PIV), 6.1% for adenovirus (AdV), 4.0% for human metapneumovirus (HMPV), 3.7% for human coronavirus (HCOV), 3.5% for human Bocavirus (HBOV). There was statistical significant in the detection rates of 8 respiratory viruses in different seasons, with the highest in spring, followed by summer and winter, and lowest in autumn. The respiratory virus infection rate of children gradually decreased with age, with a positive detection rate of 67.0% between children aged 0-3 years. And the respiratory virus detection rate of boys was significantly higher than that of girls. The co-infection rates were higher in child patients aged 0-3 years, and were higher during spring and summer than that of autumn and winter. Cough is the main clinical symptom of acute upper respiratory virus infection, followed by sputum and runny nose. The clinical symptoms are different in children between 8 respiratory virus infections. This study increases our knowledge of the etiological and clinical characteristics of these 8 common respiratory viruses among children with respiratory tract infections. Which might also provide relevant data to guide clinical treatment and prevention.

2.
Disease Surveillance ; 37(1):92-96, 2022.
Article in Chinese | GIM | ID: covidwho-1789477

ABSTRACT

Objective To analyze the characteristics and trend of medical care-seeking delay, and related factors in pulmonary tuberculosis (TB) patients in Chaoyang district of Beijing from 2014 to 2020 and provide scientific evidence for the early detection and control of pulmonary TB. Methods The information of pulmonary TB patients registered in Chaoyang from 2014-2020, including age, gender, occupation, current address, date of onset, date of first visit and results of etiological examination, were collected from National Information System for Disease Control and Prevention. The factors associated with the medical care seeking delay in pulmonary TB patients were analyzed by multivariate Logistic regression model. Results The median interval (quartiles) from symptom onset to seeking health care was 9 (0, 33) days in pulmonary TB patients in Chaoyang during 2014-2020, the medical care seeking delay rate was 42.60% (4 269/10 020), and the prevalence of medical care seeking delay showed a downward trend from 2014 to 2020 (trend X2=111.002, P < 0.001). The results from the multivariate Logistic regression analysis showed that the odds ratio (OR) and 95% confidence interval (CI) of non-local household registered patients was 1.189 (1.076-1.315);the ORs and 95% CI of retired personnel, students/children outside child care settings, the jobless/unemployed, staff member/teacher/doctor and other occupation were 1.396 (1.149-1.696), 1.282 (1.009-1.628), 1.507 (1.307-1.739), 1.787 (1.532-2.085) and 1.978 (1.558-2.512);the OR and 95% CI of retreated patients was 1.631(1.275-2.088). Conclusion The overall medical care-seeking delay rate in pulmonary TB patients in Chaoyang showed a downward trend. Non-local household registration, being retired personnel, being students/children outside child care settings, being the jobless/unemployed, being staff member/teacher/doctor, and being retreated patients were the risk factors of the medical care-seeking delay in pulmonary TB patients in Chaoyang.

3.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324777

ABSTRACT

Background: The current coronavirus disease (COVID-19) pandemic has created a pressing need to diagnose and screen a large number of close contacts of confirmed and suspected cases. Numerous nucleic acid detection kits are being rapidly developed and approved for viral etiological diagnosis;however, these are limited by the number of false negatives produced in clinical practice. Therefore, there is an urgent need to establish serological detection methods to serve as supplementary diagnostics. Methods We (1) performed a conservation and specificity analysis of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein, which is the main target of serological diagnosis;(2) integrated various B-cell epitope prediction methods to obtain possible dominant epitope regions for the N protein;(3) applied ELISA to analyze differences in the serological antibody levels for different epitopes;and (4) identified N protein epitopes for IgG and IgM with high specificity. Results SARS-CoV-2 strains showed low mutation rates for the N protein, and the construction of a phylogeny was a good characterization of its molecular evolutionary lineage in relation to other coronaviruses. SARS-CoV-2 showed the closest genetic relationship with SARS-CoV, which showed multiple consecutive long conserved regions at the amino acid level, but differed substantially from other coronaviruses. Tests targeting the SARS-CoV-2 N protein produced strong positive results in SARS-CoV patients in recovery. Of the five epitope dominant regions, using N18-39 and N183-197 for IgG and IgM detection, respectively, can effectively overcome the limitations of cross-reactivity. Conclusions The patients infected with both SARS viruses may exhibit cross-reactivity when using the N protein for antibody detection. However, there are regions of the N protein that can be used for antibody detection and some of these regions showed good specificity even between SARS-CoV-2 and SARS-CoV, and the antibody levels detected were consistent with those detected by the complete N protein. These findings provide a basis for serological diagnosis of SARS-CoV-2 patients, and research ideas for developing vaccines.

4.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-315631

ABSTRACT

Background: 2019 Novel Coronavirus disease (COVID-19) may cause critical illness including severe pneumonia and acute respiratory distress syndrome. Our purpose is to was to analyze the radiological features of COVID-19 pneumonia and its association with clinical severity. Methods This retrospective study included 212 patients (122 males, Mean age, 45.6 ± 12.8 years) from 10 hospitals. Chest CT, chest X-ray (CXR), clinical and laboratory data at admission and follow-up CT were collected. Chest CT and CXR were reviewed and CT score of the involved lung was calculated. Results 94.3% patients had pneumonia on the baseline CT at admission. The most CT findings were as follows: GGO (140/200), GGO with consolidation (38/200) and consolidation (16/200) most involving the lower lobes with a predilection for the peripheral aspects. The CT score negatively correlated with Lymphocyte count while it positively correlated with C-reactive protein. ROC curve showed an optimal cutoff value of the CT score of 15 had a sensitivity of 70% and a specificity of 96.5% for the prediction of severe status. Series CT showed GGO or consolidation gradually reduced in 52 patients while 6 patients had reticular opacities. 14 patients showed the normal CXR while GGO were found on CT. Conclusion COVID-19 pneumonia manifests as focal, multifocal ground-glass opacities with/without consolidations. Higher CT score correlated severe clinical status. CXR is yet insufficient for evaluation of COVID-19 pneumonia.

5.
Comput Biol Med ; 143: 105272, 2022 Jan 29.
Article in English | MEDLINE | ID: covidwho-1654271

ABSTRACT

Numerous serological detection kits are being rapidly developed and approved for screening and diagnosing suspected coronavirus disease 2019 (COVID-19) cases. However, cross-reactivity between pre-existing antibodies against other coronaviruses and the captured antigens in these kits can affect detection accuracy, emphasizing the necessity for identifying highly specific antigen fragments for antibody detection. Thus, we performed a conservation and specificity analysis of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein. We also integrated various B-cell epitope prediction methods to obtain possible dominant epitope regions for the N protein, analyzed the differences in serological antibody levels for different epitopes using ELISA, and identified N protein epitopes for IgG and IgM with high-specificity. The SARS-CoV-2 N protein showed low mutation rates and shared the highest amino acid similarity with SARS-CoV; however, it differed substantially from other coronaviruses. Tests targeting the SARS-CoV-2 N protein produce strong positive results in patients recovering from SARS-CoV. The N18-39 and N183-197 epitopes for IgG and IgM detection, respectively, can effectively overcome cross-reactivity, and even exhibit good specificity between SARS-CoV-2 and SARS-CoV. The antibody levels detected with these were consistent with those detected using the complete N protein. These findings provide a basis for serological diagnosis and determining the kinetics of SARS-CoV-2 antibody detection in patients.

6.
Additive Manufacturing ; : 102459, 2021.
Article in English | ScienceDirect | ID: covidwho-1499583

ABSTRACT

Polymer metallization via cold spray additive manufacturing is an emerging thermal spray approach for deposition of thick metallic coatings on polymers and fiber-reinforced composites that promises high productivity, ecofriendliness, and scalability of the coating process. In polymer metallization via cold spray, solid metallic powder is accelerated by a supersonic stream of preheated gas and propelled toward a polymer substrate, where it is built layer-by-layer via impact-induced heating and particle deformation. Since the pioneering study at Cambridge in 2006, nearly 50 experimental reports on polymer metallization via cold spray have been published, half of which have appeared within the past three years. This review distinguishes cold spray from other thermal spray methods, analyzes the peculiarities of cold spraying on polymers and fiber-reinforced composites, outlines the historical establishment of the field, and summarizes the available literature on polymer metallization via cold spray. The major focus here is on the influence of the cold spray process parameters on the deposition efficiency, adhesion strength, electrical conductivity and other properties of metallic coatings formed on polymers and fiber-reinforced composites. The promising applications of cold spray additive manufacturing in lightning strike protection, electroplating, osseointegration, antifouling, antivirus, e.g. anti-Covid-19 surfaces, and other surface functionalizations have been reviewed. Finally, recommendations were given on how to enhance the data reuse in future studies on polymer metallization via cold spray.

8.
J Med Internet Res ; 22(11): e21684, 2020 11 06.
Article in English | MEDLINE | ID: covidwho-979841

ABSTRACT

BACKGROUND: Media coverage and scholarly research have reported that Asian people who reside in the United States have been the targets of racially motivated incidents during the COVID-19 pandemic. OBJECTIVE: This study aimed to examine the types of discrimination and worries experienced by Asians and Asian Americans living in the United States during the pandemic, as well as factors that were associated with everyday discrimination experience and concerns about future discrimination that the Asian community may face. METHODS: A cross-sectional online survey was conducted. A total of 235 people who identified themselves as Asian or Asian American and resided in the United States completed the questionnaire. RESULTS: Our study suggested that up to a third of Asians surveyed had experienced some type of discrimination. Pooling the responses "very often," "often," and "sometimes," the percentages for each experienced discrimination type ranged between 14%-34%. In total, 49%-58% of respondents expressed concerns about discrimination in the future. The most frequently experienced discrimination types, as indicated by responses "very often" and "often," were "people act as if they think you are dangerous" (25/235, 11%) and "being treated with less courtesy or respect" (24/235, 10%). About 14% (32/235) of individuals reported very often, often, or sometimes being threatened or harassed. In addition, social media use was significantly associated with a higher likelihood of experiencing discrimination (ß=.18, P=.01) and having concerns about future episodes of discrimination the community may face (ß=.20, P=.005). Use of print media was also positively associated with experiencing discrimination (ß=.31, P<.001). CONCLUSIONS: Our study provided important empirical evidence regarding the various types of discrimination Asians residing in the United States experienced or worried about during the COVID-19 pandemic. The relationship between media sources and the perception of racial biases in this group was also identified. We noted the role of social media in reinforcing the perception of discrimination experience and concerns about future discrimination among Asians during this outbreak. Our results indicate several practical implications for public health agencies. To reduce discrimination against Asians during the pandemic, official sources and public health professionals should be cognizant of the possible impacts of stigmatizing cues in media reports on activating racial biases. Furthermore, Asians or Asian Americans could also be informed that using social media to obtain COVID-19 information is associated with an increase in concerns about future discrimination, and thus they may consider approaching this media source with caution.


Subject(s)
Asian Americans/psychology , Asian Americans/statistics & numerical data , Coronavirus Infections/epidemiology , Mass Media/statistics & numerical data , Pneumonia, Viral/epidemiology , Racism/psychology , Racism/statistics & numerical data , Surveys and Questionnaires , Adolescent , Adult , Aged , COVID-19 , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Pandemics , Public Health , Social Media/statistics & numerical data , United States/epidemiology , Young Adult
9.
Am J Reprod Immunol ; 84(5): e13340, 2020 11.
Article in English | MEDLINE | ID: covidwho-960759

ABSTRACT

Coronavirus disease 2019 (COVID-19) is a novel type of highly contagious pneumonia caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As the COVID-19 outbreak unfolds, more and more pregnant women are infected with SARS-CoV-2, concerns have been raised about its clinical manifestations in pregnancy and the potential risk of vertical transmission from mother to fetus in pregnant women. Hence, in this review, we summarize the latest research progress related to COVID-19 epidemiology and the reported data of pregnant women with COVID-19 and discuss the clinical manifestations, treatments, maternal and perinatal outcomes, and intrauterine vertical transmission potential of such virus. Reported data suggest that symptoms in pregnant women are similar to those in other populations and that there is no evidence of vertical transmission from mother to child. In the meantime, considering the good prognosis of most of the infected mothers and infants and absence of serious obstetric complications in pregnant women with COVID-19, it is not recommended to give birth as soon as possible, and it is necessary to extend the gestational period reasonably.


Subject(s)
COVID-19/epidemiology , Pregnancy Complications, Infectious/epidemiology , Pregnancy , SARS-CoV-2/physiology , COVID-19/transmission , Female , Humans , Infant, Newborn , Infectious Disease Transmission, Vertical , Pandemics , Perinatal Care , Pregnancy Outcome
10.
World J Virol ; 9(3): 38-46, 2020 Sep 25.
Article in English | MEDLINE | ID: covidwho-836373

ABSTRACT

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) happened in early December and it has affected China in more ways than one. The societal response to the pandemic restricted medical students to their homes. Although students cannot learn about COVID-19 through clinical practice, they can still pay attention to news of COVID-19 through various channels. Although, as suggested by previous studies, some medical students have already volunteered to serve during the COVID-19 pandemic, the overall willingness of Chinese medical students to volunteer for such has not been systematically examined. AIM: To study Chinese medical students' interest in the relevant knowledge on COVID-19 and what roles they want to play in the pandemic. METHODS: Medical students at Peking Union Medical College were surveyed via a web-based questionnaire to obtain data on the extent of interest in the relevant knowledge on COVID-19, attitude towards volunteerism in the pandemic, and career preference. Logistic regression modeling was used to investigate possible factors that could encourage volunteerism among this group in a pandemic. RESULTS: A total of 552 medical students responded. Most medical students showed a huge interest in COVID-19. The extent of students' interest in COVID-19 varied among different student-classes (P < 0.05). Senior students had higher scores than the other two classes. The number of people who were 'glad to volunteer' in COVID-19 represented 85.6% of the respondents. What these students expressed willingness to undertake involved direct, indirect, and administrative job activities. Logistic regression analysis identified two factors that negatively influenced volunteering in the pandemic: Student-class and hazards of the voluntary job. Factors that positively influenced volunteering were time to watch COVID-19 news, predictable impact on China, and moral responsibility. CONCLUSION: More innovative methods can be explored to increase Chinese medical students' interest in reading about the relevant knowledge on COVID-19 and doing voluntary jobs during the pandemic.

11.
J Xray Sci Technol ; 28(5): 863-873, 2020.
Article in English | MEDLINE | ID: covidwho-760850

ABSTRACT

OBJECTIVES: This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatically and the parameters including lesion volume (LeV/mL), lesion percentage to lung volume (LeV%), mean lesion density (MLeD/HU), low attenuation area lower than - 400HU (LAA-400%), and lesion weight (LM/mL*HU) are computed for quantification. The dynamic changes of lungs are traced from the day of initial symptoms to the day of discharge. The lesion distribution among the five lobes and the dynamic changes in each lobe are also analyzed. RESULTS: LeV%, MLeD, and LM reach peaks on days 9, 6 and 8, followed by a decrease trend in the next two weeks. LAA-400% (mostly the ground glass opacity) declines to the lowest on days 4-5, and then increases. The lesion is mostly seen in the bilateral lower lobes, followed by the left upper lobe, right upper lobe and right middle lobe (p < 0.05). The right middle lobe is the earliest one (on days 6-7), while the right lower lobe is the latest one (on days 9-10) that reaches to peak among the five lobes. CONCLUSIONS: Severity of COVID-19 increases from the day of initial symptoms, reaches to the peak around on day 8, and then decreases. Lesion is more commonly seen in the bilateral lower lobes.


Subject(s)
Coronavirus Infections/diagnostic imaging , Coronavirus Infections/pathology , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/pathology , Tomography, X-Ray Computed/methods , Adult , Betacoronavirus , COVID-19 , Female , Humans , Lung/diagnostic imaging , Lung/pathology , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2 , Software
12.
Asia Pac J Public Health ; 32(8): 476-478, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-736326
13.
Diabetes Obes Metab ; 22(8): 1443-1454, 2020 08.
Article in English | MEDLINE | ID: covidwho-647644

ABSTRACT

AIM: To explore whether coronavirus disease 2019 (COVID-19) patients with diabetes and secondary hyperglycaemia have different clinical characteristics and prognoses than those without significantly abnormal glucose metabolism. MATERIALS AND METHODS: We retrospectively analysed 166 COVID-19 patients at Tongji Hospital (Wuhan) from 8 February to 21 March 2020. Clinical characteristics and outcomes (as of 4 April 2020) were compared among control (group 1), secondary hyperglycaemia (group 2: no diabetes history, fasting plasma glucose levels of ≥7.0 mmol/L once and HbA1c values <6.5%) and patients with diabetes (group 3). RESULTS: Compared with group 1, groups 2 and 3 had higher rates of leukocytosis, neutrophilia, lymphocytopenia, eosinopenia and levels of hypersensitive C-reactive protein, ferritin and d-dimer (P < .05 for all). Group 2 patients had higher levels of lactate dehydrogenase, prevalence of liver dysfunction and increased interleukin-8 (IL-8) than those in group 1, and a higher prevalence of increased IL-8 was found in group 2 than in group 3 (P < .05 for all). The proportions of critical patients in groups 2 and 3 were significantly higher compared with group 1 (38.1%, 32.8% vs. 9.5%, P < .05 for both). Groups 2 and 3 had significantly longer hospital stays than group 1, which was nearly 1 week longer. The composite outcomes risks were 5.47 (1.56-19.82) and 2.61 (0.86-7.88) times greater in groups 2 and 3 than in group 1. CONCLUSIONS: Hyperglycaemia in both diabetes and secondary hyperglycaemia patients with COVID-19 may indicate poor prognoses. There were differences between patients with secondary hyperglycaemia and those with diabetes. We recommend that clinicians pay more attention to the blood glucose status of COVID-19 patients, even those not diagnosed with diabetes before admission.


Subject(s)
Betacoronavirus , Coronavirus Infections/blood , Diabetes Mellitus/virology , Hyperglycemia/virology , Pneumonia, Viral/blood , Adult , Aged , Blood Glucose/analysis , COVID-19 , China/epidemiology , Coronavirus Infections/complications , Coronavirus Infections/mortality , Diabetes Mellitus/blood , Diabetes Mellitus/mortality , Female , Glycated Hemoglobin A/analysis , Hospitalization/statistics & numerical data , Humans , Hyperglycemia/blood , Hyperglycemia/mortality , Male , Middle Aged , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/mortality , Prognosis , Retrospective Studies , SARS-CoV-2
14.
Chin J Acad Radiol ; : 1-6, 2020 May 11.
Article in English | MEDLINE | ID: covidwho-232587

ABSTRACT

PURPOSE: To explore lung involvement in patients with coronavirus disease-19 (COVID-19) using quantitative computed tomography (QCT). METHODS: A total of 52 patients with COVID-19 who were admitted to three hospitals in China from January 23, 2020 to February 1, 2020 were retrospectively analyzed using QCT. The accuracy of QCT segmentation was assessed. The relationship between the time from symptom onset to initial CT and QCT parameters acquired on the initial CT were explored. RESULTS: First, the ability of QCT to detect and segment lesions was investigated and it was unveiled that results of segmentation of the majority of cases (42/52) were satisfactory and for 8 out of 52 patients, the images depicted lesions with miss-segmentation; besides, 2 out of 52 cases had negative finding on chest CT achieved by both radiologists and QCT. QCT-related parameters showed to have a relationship with the time from symptom onset to initial CT. In the early-stage (0-3 days), the percentage of lung involvement was 4%, with a mean density of - 462 ± 99 HU. The peak density of lesions appeared at the range of - 500 to - 700 HU on density histogram. In the intermediate-stage (4-6 days), the mean percentage of lung involvement noticeably increased compared with that in early stage (7%, p < 0.05). In late stage (7-14 days), the percentage of lung involvement decreased to 5%. The mean density of lesions was the highest (- 430 ± 80), and heterogeneity density distribution showed a dual-peak on density histogram. CONCLUSION: COVID-19 can be promptly detected by QCT. In addition, the QCT-related parameters can highly facilitate assessment of pulmonary involvement.

15.
Chin J Acad Radiol ; : 1-10, 2020 Mar 18.
Article in English | MEDLINE | ID: covidwho-47416

ABSTRACT

COVID-19 has become a public health emergency due to its rapid transmission. The appearance of pneumonia is one of the major clues for the diagnosis, progress and therapeutic evaluation. More and more literatures about imaging manifestations and related research have been reported. In order to know about the progress and prospective on imaging of COVID-19, this review focus on interpreting the CT findings, stating the potential pathological basis, proposing the challenge of patients with underlying diseases, differentiating with other diseases and suggesting the future research and clinical directions, which would be helpful for the radiologists in the clinical practice and research.

16.
Lancet Infect Dis ; 20(5): 559-564, 2020 05.
Article in English | MEDLINE | ID: covidwho-14167

ABSTRACT

BACKGROUND: In December, 2019, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China. The number of affected pregnant women is increasing, but scarce information is available about the clinical features of COVID-19 in pregnancy. This study aimed to clarify the clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19. METHODS: In this retrospective, single-centre study, we included all pregnant women with COVID-19 who were admitted to Tongji Hospital in Wuhan, China. Clinical features, treatments, and maternal and fetal outcomes were assessed. FINDINGS: Seven patients, admitted to Tongji Hospital from Jan 1, to Feb 8, 2020, were included in our study. The mean age of the patients was 32 years (range 29-34 years) and the mean gestational age was 39 weeks plus 1 day (range 37 weeks to 41 weeks plus 2 days). Clinical manifestations were fever (six [86%] patients), cough (one [14%] patient), shortness of breath (one [14%] patient), and diarrhoea (one [14%] patient). All the patients had caesarean section within 3 days of clinical presentation with an average gestational age of 39 weeks plus 2 days. The final date of follow-up was Feb 12, 2020. The outcomes of the pregnant women and neonates were good. Three neonates were tested for SARS-CoV-2 and one neonate was infected with SARS-CoV-2 36 h after birth. INTERPRETATION: The maternal, fetal, and neonatal outcomes of patients who were infected in late pregnancy appeared very good, and these outcomes were achieved with intensive, active management that might be the best practice in the absence of more robust data. The clinical characteristics of these patients with COVID-19 during pregnancy were similar to those of non-pregnant adults with COVID-19 that have been reported in the literature. FUNDING: National Natural Science Foundation of China, Hubei Provincial Natural Science Foundation of China.


Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Pneumonia, Viral/complications , Pregnancy Complications, Infectious , Pregnancy Outcome , Adult , COVID-19 , China , Coronavirus Infections/diagnostic imaging , Female , Humans , Pandemics , Pneumonia, Viral/diagnostic imaging , Pregnancy , SARS-CoV-2 , Tomography, X-Ray Computed
17.
J Pharm Anal ; 10(2): 123-129, 2020 Apr.
Article in English | MEDLINE | ID: covidwho-4449

ABSTRACT

To examine the feasibility of using a computer tool for stratifying the severity of Coronavirus Disease 2019 (COVID-19) based on computed tomography (CT) images. We retrospectively examined 44 confirmed COVID-19 cases. All cases were evaluated separately by radiologists (visually) and through an in-house computer software. The degree of lesions was visually scored by the radiologist, as follows, for each of the 5 lung lobes: 0, no lesion present; 1, <1/3 involvement; 2, >1/3 and < 2/3 involvement; and 3, >2/3 involvement. Lesion density was assessed based on the proportion of ground-glass opacity (GGO), consolidation and fibrosis of the lesions. The parameters obtained using the computer tool included lung volume (mL), lesion volume (mL), lesion percentage (%), and mean lesion density (HU) of the whole lung, right lung, left lung, and each lobe. The scores obtained by the radiologists and quantitative results generated by the computer software were tested for correlation. A Chi-square test was used to test the consistency of radiologist- and computer-derived lesion percentage in the right/left lung, upper/lower lobe, and each of the 5 lobes. The results showed a strong to moderate correlation between lesion percentage scores obtained by radiologists and the computer software (r ranged from 0.7679 to 0.8373, P < 0.05), and a moderate correlation between the proportion of GGO and mean lesion density (r = -0.5894, P < 0.05), and proportion of consolidation and mean lesion density (r = 0.6282, P < 0.05). Computer-aided quantification showed a statistical significant higher lesion percentage for lower lobes than that assessed by the radiologists (χ2 = 8.160, P = 0.004). Our experiments demonstrated that the computer tool could reliably and accurately assess the severity and distribution of pneumonia on CT scans.

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