[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
Webmail::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 32, Issue 2 (summer 2022) ::
MEDICAL SCIENCES 2022, 32(2): 185-195 Back to browse issues page
The relationship between laboratory and chest computed tomography scan findings and severity of COVID-19 cases: a single center study
Mehrangiz Zangeneh1 , Termeh Tarjoman2 , Arian Shahidi3 , Mahnaz Valizadeh4 , Zahra Hanifezadeh5 , Omid Ameli6 , Nazi Saljoughi3 , Behnam Farhoodi1 , Masoumeh Mesgarian 7
1- Department of Infection Disease, Faculty of Medicine, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran
2- Social Determinants of Health Research Center, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran
3- MD, Faculty of Medicine, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran
4- Department of Internal Disease, Faculty of Medicine, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran
5- Bachelor of Midwifery, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran
6- Nursing Student, Amir-al-Momenin Hospital Tehran Medical Sciences, Branch, Islamic Azad University Tehran, Iran
7- Department of Infection Disease, Faculty of Medicine, Amir-al-Momenin Hospital Tehran Medical Sciences, Islamic Azad University Tehran, Iran , mmesgarian.ac.ir
Abstract:   (1649 Views)
Background: Para-clinical abnormalities are considered as predictors of COVID-19 severity. We aimed at evaluate the relationship between laboratory and chest computed tomography (CT) scan findings and severity of COVID-19 cases.
Materials and methods: We performed a retrospective study on confirmed COVID-19 patients in Amir-Al-Momenin hospital, Tehran, Iran, from February 20, 2020 to April 19, 2020. Para-clinical characteristics of the patients including chest CT scan and laboratory findings were recruited from patients’ medical records. Then we evaluated the relationship between laboratory and chest CT scan findings and severity of COVID-19 cases. We performed statistical analysis using descriptive methods and analytical tests by SPSS statistical software version-24.
Results: With lung involvement to more than 50%, the severity of the disease changed severely and critically (P=0.008). In addition, WBC and Poly counts, ALP and BUN levels increased with increasing disease severity (P> 0.05). Predictive variables explain 32.4% of the changes in the criterion variable.
Conclusion: Lung involvement more than 75% and poly count variables were positive predictors of disease severity. Indeed, each unit increase in lung involvement ploy count, disease severity increases by 27.1% and 43.8%, respectively. Laboratory and chest CT scan findings can be efficient tools for prognostic stratification of COVID-19 patients and management of this infection.
 
Keywords: COVID-19, Prognosis, Patient outcome assessment, Tomography, Hematologic tests
Full-Text [PDF 373 kb]   (568 Downloads)    
Semi-pilot: retrospective | Subject: Infectious Diseases
Received: 2021/10/5 | Accepted: 2021/11/10 | Published: 2022/07/1
References
1. Ali N, Hossain K. Liver injury in severe COVID-19 infection: current insights and challenges. Expert Rev Gastroenterol Hepatol 2020 ;14:879-884. [DOI:10.1080/17474124.2020.1794812]
2. Salahshour F, Mehrabinejad MM, Nassiri Toosi M, Gity M, Ghanaati H, Shakiba M, et al. Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system. Eur Radiol 2021:1-11. [DOI:10.1007/s00330-020-07623-w]
3. Henry BM, Benoit SW, de Oliveira MHS, Hsieh WC, Benoit J, Ballout RA, et al. Laboratory abnormalities in children with mild and severe coronavirus disease 2019 (COVID-19): A pooled analysis and review. Clin Biochem 2020;81:1-8. [DOI:10.1016/j.clinbiochem.2020.05.012]
4. Ji P, Zhu J, Zhong Z, Li H, Pang J, Li B, Zhang J. Association of elevated inflammatory markers and severe COVID-19: A meta-analysis. Medicine (Baltimore) 2020;99:e23315. [DOI:10.1097/MD.0000000000023315]
5. Kumar-M P, Mishra S, Jha DK, Shukla J, Choudhury A, Mohindra R, et al. Coronavirus disease (COVID-19) and the liver: a comprehensive systematic review and meta-analysis. Hepatol Int 2020;14:711-722. [DOI:10.1007/s12072-020-10071-9]
6. Hundt MA, Deng Y, Ciarleglio MM, Nathanson MH, Lim JK. Abnormal Liver Tests in COVID-19: A Retrospective Observational Cohort Study of 1,827 Patients in a Major U.S. Hosp Net Hepatol 2020 ;72:1169-1176 [DOI:10.1002/hep.31487]
7. Kooistra EJ, de Nooijer AH, Claassen WJ, Grondman I, Janssen NAF, Netea MG, et al. RCI-COVID-19 study group. A higher BMI is not associated with a different immune response and disease course in critically ill COVID-19 patients. Int J Obes (Lond) 2021:1-8. [DOI:10.1038/s41366-021-00747-z]
8. World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. [last updated: 2021/02/27] Available at: https://covid19.who.int
9. Shao M, Li X, Liu F, Tian T, Luo J, Yang Y. Acute kidney injury is associated with severe infection and fatality in patients with COVID-19: A systematic review and meta-analysis of 40 studies and 24,527 patients. Pharmacol Res 2020;161:105107. [DOI:10.1016/j.phrs.2020.105107]
10. Wolff D, Nee S, Hickey NS, Marschollek M. Risk factors for Covid-19 severity and fatality: a structured literature review. Infection 2021;49:15-28. [DOI:10.1007/s15010-020-01509-1]
11. Aloisio E, Chibireva M, Serafini L, Pasqualetti S, Falvella FS, Dolci A, et al. A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity. Arch Pathol Lab Med 2020;144:1457-1464. [DOI:10.5858/arpa.2020-0389-SA]
12. Ferrari D, Motta A, Strollo M, Banfi G, Locatelli M. Routine blood tests as a potential diagnostic tool for COVID-19. Clin Chem Lab Med 2020;58:1095-1099. [DOI:10.1515/cclm-2020-0398]
13. AlSamman M, Caggiula A, Ganguli S, Misak M, Pourmand A. Non-respiratory presentations of COVID-19, a clinical review. Am J Emerg Med 2020;38:2444-2454. [DOI:10.1016/j.ajem.2020.09.054]
14. Fu J, Kong J, Wang W, Wu M, Yao L, Wang Z, et al. The clinical implication of dynamic neutrophil to lymphocyte ratio and D-dimer in COVID-19: A retrospective study in Suzhou China. Thromb Res 2020;192:3-8. [DOI:10.1016/j.thromres.2020.05.006]
15. Liu YM, Xie J, Chen MM, Zhang X, Cheng X, Li H, et al. Kidney Function Indicators Predict Adverse Outcomes of COVID-19. Med (N Y) 2021;2:38-48.e2. [DOI:10.1016/j.medj.2020.09.001]
16. Nogueira SÁR, Oliveira SCS, Carvalho AFM, Neves JMC, Silva LSVD, Silva Junior GBD, et al. Renal changes and acute kidney injury in covid-19: a systematic review. Rev Assoc Med Bras 2020;66:S112-117. [DOI:10.1590/1806-9282.66.s2.112]
17. Yang X, Jin Y, Li R, Zhang Z, Sun R, Chen D. Prevalence and impact of acute renal impairment on COVID-19: a systematic review and meta-analysis. Crit Care 2020;24:356. [DOI:10.1186/s13054-020-03065-4]
18. Lassau N, Ammari S, Chouzenoux E, Gortais H, Herent P, Devilder M, et al. Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. Nat Commun 2021;12:634. [DOI:10.1038/s41467-020-20657-4]
19. Sun Z, Zhang N, Li Y, Xu X. A systematic review of chest imaging findings in COVID-19. Quant Imaging Med Surg 2020;10:1058-1079. [DOI:10.21037/qims-20-564]
20. Ponti G, Maccaferri M, Ruini C, Tomasi A, Ozben T. Biomarkers associated with COVID-19 disease progression. Crit Rev Clin Lab Sci 2020 Sep;57:389-399. [DOI:10.1080/10408363.2020.1770685]
21. Zhu X, Song B, Shi F, Chen Y, Hu R, Gan J, et al. Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Med Image Anal 2021;67:101824. [DOI:10.1016/j.media.2020.101824]
22. Raoufi M, Safavi Naini SAA, Azizan Z, Jafar Zade F, Shojaeian F, Ghanbari Boroujeni M, et al. Correlation between Chest Computed Tomography Scan Findings and Mortality of COVID-19 Cases; a Cross sectional Study. Arch Acad Emerg Med 2020;8:e57.
23. Ministry of Health and Medical Education of Islamic Republic of Iran. Flowchart of diagnosis and treatment of COVID-19 disease. 7th edition. Tehran: MOH; 2021. [In Persian]
24. Jafari S, Tabary M, Eshraghi S, Araghi F, Aryannejad A, Mohammadnejad E, et al. CT-scan Findings of COVID-19 Pneumonia Based on the Time Elapsed from the Beginning of Symptoms to the CT Imaging Evaluation: A Descriptive Study in Iran. Rom J Intern Med 2020;58:242-50. [DOI:10.2478/rjim-2020-0019]
25. Hasani H, Mardi S, Shakerian S, Taherzadeh-Ghahfarokhi N, Mardi P. The Novel Coronavirus Disease (COVID-19): A PRISMA Systematic Review and Meta-Analysis of Clinical and Paraclinical Characteristics. Biomed Res Int 2020;2020:3149020. [DOI:10.1155/2020/3149020]
26. Sabri A, Davarpanah AH, Mahdavi A, Abrishami A, Khazaei M, Heydari S, et al. Novel coronavirus disease 2019: predicting prognosis with a computed tomography-based disease severity score and clinical laboratory data. Pol Arch Intern Med 2020;130:629-634. [DOI:10.20452/pamw.15422]
27. Gallo Marin B, Aghagoli G, Lavine K, Yang L, Siff EJ, Chiang SS, et al. Predictors of COVID-19 severity: A literature review. Rev Med Virol 2021;31:1-10. [DOI:10.1002/rmv.2146]
28. Yuan M, Yin W, Tao Z, Tan W, Hu Y. Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China. Plos One 2020;15:e0230548. [DOI:10.1371/journal.pone.0230548]
29. Zieleskiewicz L, Markarian T, Lopez A, Taguet C, Mohammedi N, Boucekine M, et al. AZUREA Network. Comparative study of lung ultrasound and chest computed tomography scan in the assessment of severity of confirmed COVID-19 pneumonia. Intensive Care Med 2020;46:1707-1713. [DOI:10.1007/s00134-020-06186-0]
30. Wu Y, Li H, Guo X, Yoshida EM, Mendez-Sanchez N, Levi Sandri GB, et al. Incidence, risk factors, and prognosis of abnormal liver biochemical tests in COVID-19 patients: a systematic review and meta-analysis. Hepatol Int 2020;14:621-637. [DOI:10.1007/s12072-020-10074-6]
31. Bertolini A, van de Peppel IP, Bodewes FAJA, Moshage H, Fantin A, Farinati F, et al. Abnormal Liver Function Tests in Patients With COVID-19: Relevance and Potential Pathogenesis. Hepatology 2020;72:1864-72. [DOI:10.1002/hep.31480]
32. Lei F, Liu YM, Zhou F, Qin JJ, Zhang P, Zhu L, et al. Longitudinal Association Between Markers of Liver Injury and Mortality in COVID-19 in China. Hepatology 2020;72:389-398. [DOI:10.1002/hep.31301]
33. Wang Q, Zhao H, Liu LG, Wang YB, Zhang T, Li MH, et al. Pattern of liver injury in adult patients with COVID-19: a retrospective analysis of 105 patients. Mil Med Res 2020;7:28. [DOI:10.1186/s40779-020-00256-6]
34. Fan Z, Chen L, Li J, Cheng X, Yang J, Tian C, et al. Clinical Features of COVID-19-Related Liver Functional Abnormality. Clin Gastroenterol Hepatol 2020;18:1561-1566. [DOI:10.1016/j.cgh.2020.04.002]
35. Da BL, Mitchell RA, Lee BT, Perumalswami P, Im GY, Agarwal R, et al. Kinetic patterns of liver enzyme elevation with COVID-19 in the USA. Eur J Gastroenterol Hepatol 2020;32:1466-1469. [DOI:10.1097/MEG.0000000000001792]
36. Ghahramani S, Tabrizi R, Lankarani KB, Kashani SMA, Rezaei S, Zeidi N, et al. Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis. Eur J Med Res 2020;25:30. [DOI:10.1186/s40001-020-00432-3]
37. Elshazli RM, Toraih EA, Elgaml A, El-Mowafy M, El-Mesery M, Amin MN, et al. Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients. PLoS One 2020;15:e0238160. [DOI:10.1371/journal.pone.0238160]
38. Tjendra Y, Al Mana AF, Espejo AP, Akgun Y, Millan NC, Gomez-Fernandez C, et al. Predicting Disease Severity and Outcome in COVID-19 Patients: A Review of Multiple Biomarkers. Arch Pathol Lab Med 2020 ;144:1465-1474. [DOI:10.5858/arpa.2020-0471-SA]
39. Mardani R, Ahmadi Vasmehjani A, Zali F, Gholami A, Mousavi Nasab SD, Kaghazian H, et al. Laboratory Parameters in Detection of COVID-19 Patients with Positive RT-PCR; a Diagnostic Accuracy Study. Arch Acad Emerg Med 2020;8:e43.
40. Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, et al. Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. J Infect 2020;81:e16-e25. [DOI:10.1016/j.jinf.2020.04.021]
41. Auld SC, Caridi-Scheible M, Blum JM, Robichaux C, Kraft C, Jacob JT, et al. ICU and Ventilator Mortality Among Critically Ill Adults With Coronavirus Disease 2019. Crit Care Med 2020;48: e799-804. [DOI:10.1097/CCM.0000000000004457]
42. Soeroto AY, Soetedjo NN, Purwiga A, Santoso P, Kulsum ID, Suryadinata H, et al. Effect of increased BMI and obesity on the outcome of COVID-19 adult patients: A systematic review and meta-analysis. Diabetes Metab Syndr 2020;14:1897-1904. [DOI:10.1016/j.dsx.2020.09.029]
43. Bhasin A, Nam H, Yeh C, Lee J, Liebovitz D, Achenbach C. Is BMI Higher in Younger Patients with COVID-19? Association Between BMI and COVID-19 Hospitalization by Age. Obesity (Silver Spring) 2020;28:1811-14. [DOI:10.1002/oby.22947]
44. Du Y, Lv Y, Zha W, Zhou N, Hong X. Association of body mass index (BMI) with critical COVID-19 and in-hospital mortality: A dose-response meta-analysis. Metabolism 2020;117:154373. [DOI:10.1016/j.metabol.2020.154373]
45. Nyabera A, Lakhdar S, Li M, Trandafirescu T, Ouedraogo Tall S. The Association Between BMI and Inpatient Mortality Outcomes in Older Adults With COVID-19. Cureus 2020;12:e11183. [DOI:10.7759/cureus.11183]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Zangeneh M, Tarjoman T, Shahidi A, Valizadeh M, Hanifezadeh Z, Ameli O, et al . The relationship between laboratory and chest computed tomography scan findings and severity of COVID-19 cases: a single center study. MEDICAL SCIENCES 2022; 32 (2) :185-195
URL: http://tmuj.iautmu.ac.ir/article-1-1917-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 32, Issue 2 (summer 2022) Back to browse issues page
فصلنامه علوم پزشکی دانشگاه آزاد اسلامی واحد پزشکی تهران Medical Science Journal of Islamic Azad Univesity - Tehran Medical Branch
Persian site map - English site map - Created in 0.06 seconds with 37 queries by YEKTAWEB 4645