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COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA

Yıl 2022, , 63 - 72, 30.04.2022
https://doi.org/10.24938/kutfd.1008677

Öz

Objective: In this study, it was aimed to evaluate the healthy and infected area volumes and elementary lesion characteristics in thorax computed tomography examinations of mild-moderate and severe patient groups according to the clinical severity scoring determined by the World Health Organization, and to compare the obtained findings with laboratory and clinical data.
Material and Methods: A total of 100 cases (59 males, 41 females; age range 18-95 years) were retrospectively and randomly selected from the patients who had non-contrast thoracic computed tomography scan and were diagnosed with Covid-19 pneumonia by reverse transcription polymerase chain reaction test. According to clinical severity scoring, patients were classified as mild-moderate and severe groups. Volumetric measurements were made in the lungs using quantitative analyses. In addition, lesion characteristics (ground glass opacity, consolidation, air bronchogram) in the infiltration areas were recorded. The relationship between radiological findings and clinical-laboratory data was statistically evaluated.
Results: The age of the patients ranged between 58.80±14.74 years; 52% of the cases were in the severe category, 48% of them were in the mild-moderate category. Lung volumes did not differ significantly between disease groups. According to computed tomography findings, there was a statistically significant correlation between subpleural reticulations and air bronchogram and disease groups. IL-6, D-dimer, ferritin, neutrophil lymphocyte ratio and C-Reactive Protein values were higher in the severe disease group than in the mild-moderate group.
Conclusion: Volumetric values associated with laboratory parameters are thought to be an important indicator of the immune response that determines the course of the disease.

Kaynakça

  • 1. Song F, Shi N, Shan F, Zhang Z, Shen J, Lu H et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020;295(1):210-7.
  • 2. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020;296(2):E32-E40.
  • 3. Tay MZ, Poh CM, Rénia L, MacAry PA, Ng LFP. The trinity of COVID-19: immunity, inflammation and intervention. Nat Rev Immunol. 2020;20(6):363-74.
  • 4. Lin L, Lu L, Cao W, Li T. Hypothesis for potential pathogenesis of SARS-CoV-2 infection-a review of immune changes in patients with viral pneumonia. Emerg Microbes Infect. 2020;9(1):727-32.
  • 5. Tian S, Xiong Y, Liu H, Niu L, Guo J, Liao M et al. Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Mod Pathol. 2020;33(6):1007-14.
  • 6. Belen-Apak FB, Sarialioglu F. Pulmonary intravascular coagulation in COVID-19: possible pathogenesis and recommendations on anticoagulant/thrombolytic therapy. J Thromb Thrombolysis. 2020;50(2):278-80.
  • 7. Felsenstein S, Herbert JA, McNamara PS, Hedrich CM. COVID-19: Immunology and treatment options. Clin Immunol. 2020;215:108448.
  • 8. Zhang M, Lin B. Diagnostic Imaging of Novel Coronavirus Pneumonia. 1st ed. Springer, Singapore. Henan Science and Technology Press, 2020.
  • 9. Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR Am J Roentgenol. 2020;214(6):1280-6.
  • 10. Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of Coronavirus Disease (COVID-19) pneumonia: A multicenter study. AJR Am J Roentgenol. 2020;214(5):1072-7.
  • 11. Belfiore MP, Urraro F, Grassi R, Giacobbe G, Patelli G, Cappabianca S et al. Artificial intelligence to codify lung CT in Covid-19 patients. Radiol Med. 2020;125(5):500-4.
  • 12. Grassi R, Belfiore MP, Montanelli A, Patelli G, Urraro F, Giacobbe G et al. COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT). Radiol Med. 2021;126(4):553-60.
  • 13. Hosseiny M, Kooraki S, Gholamrezanezhad A, Reddy S, Myers L. Radiology perspective of Coronavirus Disease 2019 (COVID-19): Lessons from Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome. AJR Am J Roentgenol. 2020;214(5):1078-82.
  • 14. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13.
  • 15. Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. AJR Am J Roentgenol. 2020;215(1):87-93.
  • 16. Cheng Z, Qin L, Cao Q, Dai J, Pan A, Yang W et al. Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia. Radiol Infect Dis. 2020;7(2):55-61.
  • 17. Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese G et al. Well-aerated lung on admitting chest CT to predict adverse outcome in Covid-19 pneumonia. Radiology. 2020;296(2):E86-E96.
  • 18. Lanza E, Muglia R, Bolengo I, Santonocito OG, Lisi C, Angelotti G et al. Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. Eur Radiol. 2020;30(12):6770-8.

Covıd-19 Hastalarında Enfekte Akciğer Volümü ile Klinik ve Laboratuvar Bulguların Karşılaştırılması

Yıl 2022, , 63 - 72, 30.04.2022
https://doi.org/10.24938/kutfd.1008677

Öz

Amaç: Bu çalışmada, Dünya Sağlık Örgütü’nün belirlediği klinik şiddet skorlamasına göre hafif-orta grup ile ağır hasta gruplarının toraks bilgisayarlı tomografi tetkiklerinde sağlıklı ve enfekte alan volümleri ile elementer lezyon özelliklerinin değerlendirilmesi, elde edilen bulguların laboratuvar ve klinik verilerle karşılaştırılması amaçlanmıştır.
Gereç ve Yöntemler: Hastaneye kabul sırasında kontrastsız toraks bilgisayarlı tomografisi çekilen ve ters transkripsiyon polimeraz zincir reaksiyonu testi ile Covid-19 pnömonisi tanısı alan hastalar arasından geriye dönük ve rastgele olarak toplam 100 olgu (59 erkek, 41 kadın; yaş aralığı 18-95) toplandı. Klinik şiddet skorlamasına göre hastalar hafif-orta ve ağır grup olarak sınıflandırıldı. Kantitatif analizler kullanılarak akciğerlerde volümetrik ölçümler yapıldı. Ayrıca infiltrasyon alanlarındaki lezyon özellikleri (buzlu cam opasitesi, konsolidasyon, hava bronkogramı vb.) kaydedildi. Radyolojik bulgular ve klinik-laboratuvar veriler arasındaki ilişki istatistiksel olarak değerlendirildi.
Bulgular: Hastaların yaşları 58.80±14.74/yıl arasında değişmekte olup; olguların %52’si ağır kategoride, %48’i hafif-orta kategorideydi. Akciğer hacimleri, hastalık grupları arasında anlamlı farklılık göstermiyordu. Bilgisayarlı tomografi bulgularına göre subplevral retikülasyonlar ile hava bronkogramı ve hastalık grupları arasında istatistiksel olarak anlamlı bir ilişki mevcuttu. IL-6, D-dimer, ferritin, nötrofil lenfosit oranı ve C-Reaktif Protein değerleri ağır hastalık grubunda, hafif-orta gruba göre daha yüksekti.
Sonuç: Laboratuvar parametreleriyle ilişkilendirilen hacimsel değerlerin, hastalığın seyrini belirleyen immün yanıtının önemli bir göstergesi olduğu düşünülmektedir.

Kaynakça

  • 1. Song F, Shi N, Shan F, Zhang Z, Shen J, Lu H et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020;295(1):210-7.
  • 2. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020;296(2):E32-E40.
  • 3. Tay MZ, Poh CM, Rénia L, MacAry PA, Ng LFP. The trinity of COVID-19: immunity, inflammation and intervention. Nat Rev Immunol. 2020;20(6):363-74.
  • 4. Lin L, Lu L, Cao W, Li T. Hypothesis for potential pathogenesis of SARS-CoV-2 infection-a review of immune changes in patients with viral pneumonia. Emerg Microbes Infect. 2020;9(1):727-32.
  • 5. Tian S, Xiong Y, Liu H, Niu L, Guo J, Liao M et al. Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Mod Pathol. 2020;33(6):1007-14.
  • 6. Belen-Apak FB, Sarialioglu F. Pulmonary intravascular coagulation in COVID-19: possible pathogenesis and recommendations on anticoagulant/thrombolytic therapy. J Thromb Thrombolysis. 2020;50(2):278-80.
  • 7. Felsenstein S, Herbert JA, McNamara PS, Hedrich CM. COVID-19: Immunology and treatment options. Clin Immunol. 2020;215:108448.
  • 8. Zhang M, Lin B. Diagnostic Imaging of Novel Coronavirus Pneumonia. 1st ed. Springer, Singapore. Henan Science and Technology Press, 2020.
  • 9. Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR Am J Roentgenol. 2020;214(6):1280-6.
  • 10. Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of Coronavirus Disease (COVID-19) pneumonia: A multicenter study. AJR Am J Roentgenol. 2020;214(5):1072-7.
  • 11. Belfiore MP, Urraro F, Grassi R, Giacobbe G, Patelli G, Cappabianca S et al. Artificial intelligence to codify lung CT in Covid-19 patients. Radiol Med. 2020;125(5):500-4.
  • 12. Grassi R, Belfiore MP, Montanelli A, Patelli G, Urraro F, Giacobbe G et al. COVID-19 pneumonia: computer-aided quantification of healthy lung parenchyma, emphysema, ground glass and consolidation on chest computed tomography (CT). Radiol Med. 2021;126(4):553-60.
  • 13. Hosseiny M, Kooraki S, Gholamrezanezhad A, Reddy S, Myers L. Radiology perspective of Coronavirus Disease 2019 (COVID-19): Lessons from Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome. AJR Am J Roentgenol. 2020;214(5):1078-82.
  • 14. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13.
  • 15. Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. AJR Am J Roentgenol. 2020;215(1):87-93.
  • 16. Cheng Z, Qin L, Cao Q, Dai J, Pan A, Yang W et al. Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia. Radiol Infect Dis. 2020;7(2):55-61.
  • 17. Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese G et al. Well-aerated lung on admitting chest CT to predict adverse outcome in Covid-19 pneumonia. Radiology. 2020;296(2):E86-E96.
  • 18. Lanza E, Muglia R, Bolengo I, Santonocito OG, Lisi C, Angelotti G et al. Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. Eur Radiol. 2020;30(12):6770-8.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Kurumları Yönetimi
Bölüm Makaleler
Yazarlar

Murathan Köksal 0000-0002-5936-2925

Erdem Özkan 0000-0001-8120-7051

Mutlu Gülbay Bu kişi benim 0000-0001-5921-1652

Yeşim Aybar Bilir Bu kişi benim 0000-0001-8900-5139

Esragül Akınci 0000-0003-3412-8929

Adalet Aypak 0000-0001-8850-2475

Hatice Rahmet Güner Bu kişi benim 0000-0002-1029-1185

Yayımlanma Tarihi 30 Nisan 2022
Gönderilme Tarihi 12 Ekim 2021
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Köksal, M., Özkan, E., Gülbay, M., Aybar Bilir, Y., vd. (2022). COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA. The Journal of Kırıkkale University Faculty of Medicine, 24(1), 63-72. https://doi.org/10.24938/kutfd.1008677
AMA Köksal M, Özkan E, Gülbay M, Aybar Bilir Y, Akınci E, Aypak A, Güner HR. COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA. Kırıkkale Üni Tıp Derg. Nisan 2022;24(1):63-72. doi:10.24938/kutfd.1008677
Chicago Köksal, Murathan, Erdem Özkan, Mutlu Gülbay, Yeşim Aybar Bilir, Esragül Akınci, Adalet Aypak, ve Hatice Rahmet Güner. “COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA”. The Journal of Kırıkkale University Faculty of Medicine 24, sy. 1 (Nisan 2022): 63-72. https://doi.org/10.24938/kutfd.1008677.
EndNote Köksal M, Özkan E, Gülbay M, Aybar Bilir Y, Akınci E, Aypak A, Güner HR (01 Nisan 2022) COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA. The Journal of Kırıkkale University Faculty of Medicine 24 1 63–72.
IEEE M. Köksal, E. Özkan, M. Gülbay, Y. Aybar Bilir, E. Akınci, A. Aypak, ve H. R. Güner, “COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA”, Kırıkkale Üni Tıp Derg, c. 24, sy. 1, ss. 63–72, 2022, doi: 10.24938/kutfd.1008677.
ISNAD Köksal, Murathan vd. “COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA”. The Journal of Kırıkkale University Faculty of Medicine 24/1 (Nisan 2022), 63-72. https://doi.org/10.24938/kutfd.1008677.
JAMA Köksal M, Özkan E, Gülbay M, Aybar Bilir Y, Akınci E, Aypak A, Güner HR. COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA. Kırıkkale Üni Tıp Derg. 2022;24:63–72.
MLA Köksal, Murathan vd. “COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA”. The Journal of Kırıkkale University Faculty of Medicine, c. 24, sy. 1, 2022, ss. 63-72, doi:10.24938/kutfd.1008677.
Vancouver Köksal M, Özkan E, Gülbay M, Aybar Bilir Y, Akınci E, Aypak A, Güner HR. COMPARISON OF INFECTED LUNG VOLUME OF COVID-19 PATIENTS AND THEIR CLINIC AND LABORATORY DATA. Kırıkkale Üni Tıp Derg. 2022;24(1):63-72.

Bu Dergi, Kırıkkale Üniversitesi Tıp Fakültesi Yayınıdır.