Asssessing the Disease Severity in Patiens with Covid19 by Comparing Cycle Threshold Value of Rtpcr and Severity Score of Chest CT scan In A Teritiary Care Hospital

Abstract Background and purpose Fatty liver is one of the most common pre-existing illnesses; it can cause liver injury, leading to further complications in coronavirus disease 2019 patients. Our goal is to determine if pre-existing fatty liver is more prevalent in hospitalized COVID-19 patients compared to patients admitted before the SARS-CoV-2 pandemic and determine the disease severity among fatty liver patients. Experimental approach This retrospective study involves a case and a control group consisting of 1162 patients; the case group contains hospitalized COVID-19 patients with positive PCR tests and available chest CT-scan; the control group contains patients with available chest CT-scan previous to the COVID-19 pandemic. Patients’ data such as liver Hounsfield unit, hospitalization length, number of affected lobes, and total lungs involvement score were extracted and compared between the patients. Results The findings indicate that 37.9% of hospitalized COVID-19 patients have a pre-existing fatty liver, which is significantly higher (P < 0.001) than the prevalence of pre-existing fatty liver in control group patients (9.02%). In comparison to hospitalized non-fatty liver COVID-19 patients, data from hospitalized COVID-19 patients with fatty liver indicate a longer hospitalization length (6.81 ± 4.76 P = 0.02), a higher total lungs involvement score (8.73 ± 5.28 P < 0.001), and an increased number of affected lobes (4.42 ± 1.2 P < 0.001). Conclusion The statistical analysis shows fatty liver is significantly more prevalent among COVID-19 against non-COVID-19 patients, and they develop more severe disease and tend to be hospitalized for more extended periods.

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Independent role of CT chest scan in COVID-19 prognosis: Evidence from the machine learning classification

SCRIPTA MEDICA ◽

10.5937/scriptamed52-34457 ◽

2021 ◽

Vol 52 (4) ◽

pp. 273-278

Author(s):

Sudhir Bhandari ◽

Shaktawat Singh ◽

Amit Tak ◽

Bhoopendra Patel ◽

Jitentdra Gupta ◽

...

Keyword(s):

Support Vector Machine ◽

Ct Scan ◽

Principal Components ◽

Severity Score ◽

Feature Space ◽

Chest Ct ◽

Support Vector ◽

Machine Learning Classification ◽

Chest Ct Scan

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.

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Can initial chest CT scan predict status and clinical outcomes of COVID-19 infection? A retrospective cohort study

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-021-00538-6 ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Iman Abdollahi ◽

Mehrdad Nabahati ◽

Mostafa Javanian ◽

Hoda Shirafkan ◽

Rahele Mehraeen

Keyword(s):

Cohort Study ◽

Ct Scan ◽

Disease Severity ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Severe Disease ◽

Chest Ct ◽

Rt Pcr ◽

Icu Admission ◽

Chest Ct Scan

Abstract Background We aimed to investigate the association of initial chest CT scan findings with status and adverse outcomes of COVID-19 (including ICU admission, mortality, and disease severity). This retrospective cohort study was performed in three hospitals in Babol, northern Iran, between February and March 2020. Cases were confirmed by real-time polymerase chain reaction (RT-PCR). Clinical and paraclinical data of the patients were collected from their medical records. CT severity score (CSS) was calculated by a senior radiologist. Disease severity was determined based on the World Health Organization criteria. Results In total, 742 patients were included, of whom 451 (60.8%) were males and 291 (39.2%) were females. The mean age was 56.59 ± 14.88 years old. Also, 523 (70.5%) were RT-PCR-positive. Ground glass opacity was directly associated with RT-PCR positivity (odds ratio [OR] = 2.07). Also, RT-PCR-positive cases had significantly a higher CSS than RT-PCR-negative cases (p = 0.037). In patients confirmed with COVID-19, peribronchovascular distribution of lesions, number of zones involved, and CSS were associated with increased risk of ICU admission (OR = 2.93, OR = 2.10, and OR = 1.14, respectively), mortality (OR = 2.30, OR = 1.35, and OR=1.08, respectively), severe disease (OR = 2.06, OR = 1.68, and OR = 1.10, respectively), and critical disease (OR = 4.62, OR = 3.21, and OR = 1.23, respectively). Also, patients who had consolidation were at a higher risk of severe disease compared with those who did not (OR = 4.94). Conclusion Initial chest CT scan can predict COVID-19 positivity, ICU admission, mortality, and disease severity, specifically through CSS.

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

Nepal Journal of Obstetrics and Gynaecology ◽

10.3126/njog.v16i1.37915 ◽

2021 ◽

Vol 16 (1) ◽

pp. 115-119

Author(s):

Ayeshna Gurung ◽

Reetu Baral ◽

Binit Koirala ◽

Suman Kumar Shrestha

Keyword(s):

Ct Scan ◽

Teaching Hospital ◽

Severity Score ◽

Chest Ct ◽

Radiology Department ◽

Medical College ◽

Institutional Review ◽

Ethical Approval ◽

Chest Ct Scan ◽

D Dimer

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.

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Cancer surgery during the COVID‐19 pandemic: The experience of a comprehensive cancer center performing preoperative screening by RT‐PCR and chest CT scan

Journal of Surgical Oncology ◽

10.1002/jso.26335 ◽

2021 ◽

Vol 123 (4) ◽

pp. 815-822

Author(s):

Joanne Guerlain ◽

Fabienne Haroun ◽

Alexandra Voicu ◽

Charles Honoré ◽

Franck Griscelli ◽

...

Keyword(s):

Ct Scan ◽

Chest Ct ◽

Cancer Surgery ◽

Comprehensive Cancer Center ◽

Cancer Center ◽

Preoperative Screening ◽

Rt Pcr ◽

Chest Ct Scan

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A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis

Scientific Reports ◽

10.1038/s41598-020-80061-2 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Fatemeh Khatami ◽

Mohammad Saatchi ◽

Seyed Saeed Tamehri Zadeh ◽

Zahra Sadat Aghamir ◽

Alireza Namazi Shabestari ◽

...

Keyword(s):

Polymerase Chain Reaction ◽

Reverse Transcriptase ◽

Ct Scan ◽

Predictive Value ◽

Meta Analysis ◽

Chest Ct ◽

Rt Pcr ◽

Chain Reaction ◽

Polymerase Chain ◽

Chest Ct Scan

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.

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The role of CT imaging for management of COVID-19 in epidemic area: early experience from a University Hospital

Insights into Imaging ◽

10.1186/s13244-020-00957-5 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Vikram rao Bollineni ◽

Koenraad Hans Nieboer ◽

Seema Döring ◽

Nico Buls ◽

Johan de Mey

Keyword(s):

Ct Scan ◽

Predictive Value ◽

Ct Imaging ◽

Chest Ct ◽

University Hospital ◽

Rt Pcr ◽

Ct Findings ◽

Epidemic Area ◽

Chest Ct Scan ◽

Pcr Test

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.

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