scholarly journals Association of laboratory parameters with chest CT findings in COVID-19 patients

2021 ◽  
Vol 16 (1) ◽  
pp. 115-119
Author(s):  
Ayeshna Gurung ◽  
Reetu Baral ◽  
Binit Koirala ◽  
Suman Kumar Shrestha

Aims: To analyze the Chest CT Scan and association of the severity score with the serum biomarkers D- dimer, C-reactive protein (CRP), Lactate dehydrogenase (LDH) and Ferritin levels. Methods: This is a retrospective study done from the database of Department of Radiology and Department of Pathology at Nobel medical college and teaching hospital during the peak of the second wave of the pandemic from 1st April 2021 to 31 st May 2021. Data for the Chest CT scan and lab parameters were analyzed and correlated. Ethical approval was obtained from the Institutional review committee of Nobel Medical College and Teaching Hospital. Descriptive statistical analysis was performed. Results: A total of 263 cases of Chest CT scan were done in 2 months period who were diagnosed as cases of COVID 19. In this study the severity and scores were taken from the database in the Radiology department. The lab parameters like D-dimer, CRP, LDH and Ferritin levels were studied from the database in the lab. Age of the patients ranged from 19 to 89 years with maximum cases 68 (25.8%) seen in the age group of 50-59 years. According to the chest CT Scan the severity score was in between 11-15 in 92 (48.3%) cases. Fifty six cases showed abnormal levels of D-dimer, Ferritin, CRP and LDH. D-dimer was raised in 26 (46.4%), LDH was raised in 48 (87.2%) while Ferritin and CRP was also raised in all 56 cases. Conclusions: There was a positive correlation between the biomarkers and the Chest CT severity score. The severity of the disease with involvement of the lungs can be estimated by correlating with the lab parameters.

2020 ◽  
Vol 36 (6) ◽  
Author(s):  
Jin Zhu ◽  
Cheng Chen ◽  
Rongshu Shi ◽  
Bangguo Li

Objectives: To study the correlations of CT scan with high-sensitivity C-reactive protein (hs-CRP) and D-dimer in patients with coronavirus disease 2019 (COVID-2019). Methods: From January to March 2020, COVID-19 patients were divided into two groups according to the Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (trial version 7), with mild and ordinary cases as Group-1 and critical and severe cases as Group-2. The chest CT scan results, hs-CRP, D-dimmer levels of the two groups from admission to discharge were compared by the c2 test or Fisher’s exact test. The quantitative data were represented as mean ± standard deviation (±s). Intergroup comparisons were performed by the independent samples t test, and the ineligible data were subjected to the nonparametric rank sum test. Binary logistic regression model was used for multivariate correlation analysis, using independent variables that were significant in univariate analysis. The correlations between the above indices were analyzed. Results: In Group-1, there were two cases of normal chest CT scan results, one case of fibrosis, and 25 cases of abnormalities during the first diagnosis, mainly manifested as single or scattered ground-glass shadows. After treatment, the CT scan results became normal. The chest CT scan of Group-2 showed abnormalities, including 21 cases of multiple ground-glass shadows, and six cases of multiple consolidations accompanied by ground-glass shadows, who were critically ill and died. In addition, there were 16 cases of multiple ground glass shadows with partial consolidation, and the CRP and D-dimer levels of Group-2 were significantly higher than those of Group-1. Chest CT scan results were significantly positively correlated with CRP and D-dimer levels (P<0.05). Conclusion: The chest CT scan results of COVID-19 patients are characteristic, being correlated with CRP and D-dimer levels. D-dimer and CRP levels significantly increase in most severe and critical patients, which are closely related to their prognosis. The indices may play predictive roles in clinical treatment and prognosis evaluation. doi: https://doi.org/10.12669/pjms.36.6.2961 How to cite this:Zhu J, Chen C, Shi R, Li B. Correlations of CT scan with high-sensitivity C-reactive protein and D-dimer in patients with coronavirus disease 2019. Pak J Med Sci. 2020;36(6):1397-1401. doi: https://doi.org/10.12669/pjms.36.6.2961 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2020 ◽  
Vol 23 (5) ◽  
pp. 766-773
Author(s):  
Mehrdad Nasrollahzadeh Sabet ◽  
◽  
Mohammad Foad Heidari ◽  
Mohammad Khanalipour ◽  
Saadat Allah Ghaffari ◽  
...  

Background and Aim: Since late 2019, with the emergence of a new type of coronavirus that causes a new respiratory disease called COVID-19, there have been many concerns about the spread of this disease and how to deal with it. Due to the ability of the virus to be transmitted rapidly, diagnosing the infected individuals in the early stages for isolating them is critical. This study aims to evaluate the reliability of Computed Tomography (CT) scan in diagnosing COVID-19. Methods & Materials: Participants were 212 patients admitted to hospital with confirmed diagnosis of COVID-19. Demographic information, medical history, symptoms, and the chest CT scan results were collected and analyzed. Finally, the power of CT scans in the diagnosis of this disease was compared with the Real-Time Polymerase Chain Reaction (RT-PCR) molecular test. Ethical Considerations: This study received ethical approval from the ethics committee of AJA University of Medical Sciences (Code: IR.AJAUMS.REC.1399.091). Results: The sensitivity of CT scan in the diagnosis of COVID-19 was relatively high, but its false-positive results were also high. Conclusion: CT scan is a relatively sensitive method for diagnosing COVID-19, but caution should be made due to its high false-positive results which can lead to increased financial burden on the health system.


2021 ◽  
Vol 52 (4) ◽  
pp. 273-278
Author(s):  
Sudhir Bhandari ◽  
Shaktawat Singh ◽  
Amit Tak ◽  
Bhoopendra Patel ◽  
Jitentdra Gupta ◽  
...  

Background: The current coronavirus disease-19 (COVID-19) pandemic call attention to the key role informatics play in healthcare. The present study discovers an independent role of computerised tomography chest (CT) scans in prognosis of COVID-19 using classification learning algorithms. Methods: In this retrospective study, 57 RT PCR positive COVID-19 patients were enrolled from SMS Medical College, Jaipur (Rajasthan, India) after approval from the Institutional Ethics Committee. A set of 21 features including clinical findings and laboratory parameters and chest CT severity score were recorded. The CT score with mild, moderate and severe categories was chosen as response variable. The dimensionality reduction of feature space was performed and classifiers including, decision trees, K-nearest neighbours, support vector machine and ensemble learning were trained with principal components. The model with highest accuracy and area under the ROC curve (AUC) was selected. Results: The median age of patients was 55 years (range: 20-99 years) with 37 males. The feature space was reduced from 21 to 7 predictors, that included fever, cough, fibrin degradation products, haemoglobin, neutrophil-lymphocyte ratio, ferritin and procalcitonin. The linear support vector machine was chosen as the best classifier with 73.7 % and 0.69 accuracy and AUC for severe CT chest score, respectively. The variance contributed by first three principal components were 97.5 %, 2.4 % and 0.0 %, respectively. Conclusion: In view of low degree of relationships between predictors and chest CT scan severity score category as interpreted from accuracy and AUC it can be concluded that chest CT scan has an independent role in the prognosis of COVID-19 patients.


2021 ◽  
Vol 123 (4) ◽  
pp. 815-822
Author(s):  
Joanne Guerlain ◽  
Fabienne Haroun ◽  
Alexandra Voicu ◽  
Charles Honoré ◽  
Franck Griscelli ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Fatemeh Khatami ◽  
Mohammad Saatchi ◽  
Seyed Saeed Tamehri Zadeh ◽  
Zahra Sadat Aghamir ◽  
Alireza Namazi Shabestari ◽  
...  

AbstractNowadays there is an ongoing acute respiratory outbreak caused by the novel highly contagious coronavirus (COVID-19). The diagnostic protocol is based on quantitative reverse-transcription polymerase chain reaction (RT-PCR) and chests CT scan, with uncertain accuracy. This meta-analysis study determines the diagnostic value of an initial chest CT scan in patients with COVID-19 infection in comparison with RT-PCR. Three main databases; PubMed (MEDLINE), Scopus, and EMBASE were systematically searched for all published literature from January 1st, 2019, to the 21st May 2020 with the keywords "COVID19 virus", "2019 novel coronavirus", "Wuhan coronavirus", "2019-nCoV", "X-Ray Computed Tomography", "Polymerase Chain Reaction", "Reverse Transcriptase PCR", and "PCR Reverse Transcriptase". All relevant case-series, cross-sectional, and cohort studies were selected. Data extraction and analysis were performed using STATA v.14.0SE (College Station, TX, USA) and RevMan 5. Among 1022 articles, 60 studies were eligible for totalizing 5744 patients. The overall sensitivity, specificity, positive predictive value, and negative predictive value of chest CT scan compared to RT-PCR were 87% (95% CI 85–90%), 46% (95% CI 29–63%), 69% (95% CI 56–72%), and 89% (95% CI 82–96%), respectively. It is important to rely on the repeated RT-PCR three times to give 99% accuracy, especially in negative samples. Regarding the overall diagnostic sensitivity of 87% for chest CT, the RT-PCR testing is essential and should be repeated to escape misdiagnosis.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Vikram rao Bollineni ◽  
Koenraad Hans Nieboer ◽  
Seema Döring ◽  
Nico Buls ◽  
Johan de Mey

Abstract Background To evaluate the clinical value of the chest CT scan compared to the reference standard real-time polymerase chain reaction (RT-PCR) in COVID-19 patients. Methods From March 29th to April 15th of 2020, a total of 240 patients with respiratory distress underwent both a low-dose chest CT scan and RT-PCR tests. The performance of chest CT in diagnosing COVID-19 was assessed with reference to the RT-PCR result. Two board-certified radiologists (mean 24 years of experience chest CT), blinded for the RT-PCR result, reviewed all scans and decided positive or negative chest CT findings by consensus. Results Out of 240 patients, 60% (144/240) had positive RT-PCR results and 89% (213/240) had a positive chest CT scans. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of chest CT in suggesting COVID-19 were 100% (95% CI: 97–100%, 144/240), 28% (95% CI: 19–38%, 27/240), 68% (95% CI: 65–70%) and 100%, respectively. The diagnostic accuracy of the chest CT suggesting COVID-19 was 71% (95% CI: 65–77%). Thirty-three patients with positive chest CT scan and negative RT-PCR test at baseline underwent repeat RT-PCR assay. In this subgroup, 21.2% (7/33) cases became RT-PCR positive. Conclusion Chest CT imaging has high sensitivity and high NPV for diagnosing COVID-19 and can be considered as an alternative primary screening tool for COVID-19 in epidemic areas. In addition, a negative RT-PCR test, but positive CT findings can still be suggestive of COVID-19 infection.


CHEST Journal ◽  
2013 ◽  
Vol 144 (2) ◽  
pp. 700-703 ◽  
Author(s):  
Sarah Bastawrous ◽  
Jan V. Hirschmann

CHEST Journal ◽  
2018 ◽  
Vol 154 (4) ◽  
pp. 576A
Author(s):  
JINCEY SRIRAM ◽  
IRMA VAN DE BEEK ◽  
PAUL JOHANNESMA ◽  
MICHIEL VAN WERKUM ◽  
TIJMEN VAN DER WEL ◽  
...  

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