Abstract
References
- Işık Ş. Systemic inflammation indices predict mortality in patients with COVID-19. J Health Sci Med 2022; 5(4): 1086-1091.
- Çolak S, Tekgöz E, Çınar M, et al. Efficacy of tocilizumab in severe COVID-19: a retrospective study. J Health Sci Med 2022; 5: 592-9.
- Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020; 382: 727-33.
- Öztürk Durmaz Ş, Sümer Coşkun A, Yalçın AN. Clinical and prognostic evaluation of patients admitted to the COVID-19 pandemic unit of the emergency department. J Health Sci Med 2021; 4: 835-9.
- Fang Y, Zhang H, Xe J, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radology 2020; 200432.
- Inanc IH, Bursa N, Gültepe A, Sabanoglu C. The impact of COVID-19 on rural population: A retrospective study. J Health Sci Med 2021; 4: 722-7.
- Ceylan N, Savaş R. COVID-19’un radyolojik bulguları. COVID-19 ve Akciğer: Göğüs Hastalıkları Uzmanlarının Bilmesi Gerekenler’ Başlıklı Ek Sayı. Eurasian J Pulmonol 2020: 33-44.
- Nair A, Rodrigues JCL, Hare S, Edey A, et al. A British Society of toracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol 2020; 75: 329-334.
- Sarıcı A, Berber NK, Cağaşar Ö, et al. The impact of laboratory features and comorbidities on the prognosis of patients with COVID-19. J Health Sci Med 2021;4(2):142-146.
- Samprathi M, Jayashree M. Biomarkers in COVID-19: an up-to-date review. Frontiers in Pediatrics 2021; 8: 607647.
- Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395.10229: 1054-62.
- Chen CC, Lee IK, Liu JW, Huang SY, Wang L. Utility of C-reactive protein levels for early prediction of dengue severity in adults. BioMed Res Int 2015.
- Huang P, Liu T, Huang L, et al. Use of chest CT in combination with negative RT-PCR assay for the 2019 novel coronavirus but high clinical suspicion. Radiology 2020; 295: 22-3.
- Doğan E, Gürsoy C, Tapan ÖO, Elibol C, Togan T, Demirbilek S. The comparison of chest X-ray and CT visibility according to size and lesion types in the patients with COVID-19. J Health Sci Med 2020; 5(4), 1151-1155.
- 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: 87-93.
- Hani C, Trieu NH, Saab I, Dangeard S, Bennani S, Chassagnon G. COVID-19 pneumonia: a review of typical CT findings and differential diagnosis. Diagnostic Intervent Imag 2020; 101: 263-68.
- Li Y, Hu Y, Yu J, Ma T. Retrospective analysis of laboratory testing in 54 patients with severe- or critical-type 2019 novel coronavirus pneumonia. Laboratory Investigation 2020; 100: 794-800.
- Baraboutis IG, Gargalianos P, Aggelonidou E, Adraktas A. Initial real-life experience from a designated COVID-19 Centre in Athens, Greece: a proposed therapeutic algorithm. SN Compr Clin Mede 2020; 2.6: 689-693.
- Cheng L, Li H, Li L, et al. Ferritin in the coronavirus disease 2019 (COVID‐19): a systematic review and meta‐analysis. J Clin Lab Analysis 2020; 34.10: e23618.
- Bernheim A, Mei X, Huang M, et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology 2020; 295: 3.
- Sahin GG, Kurtoglu TI, Sahin A, Ozcaglayan O, Sasani H. Atypical CT findings and clinical correlation of COVID-19 pneumonia. Namık Kemal Tıp Dergisi 2020; 8.3: 489-98.
- Özdemir M, Taydaş O, Öztürk MH. COVID-19 enfeksiyonunda toraks bilgisayarlı tomografi bulguları. J Biotechnol Strategic Health Res 2020; 4, 91-6.
- Sayar M S, Bulut D, Çelik S, et al. The impact and relationship of inflammatory markers and radiologic involvement in the COVID-19 patients. J Health Sci Med 2021; 4: 416-21.
- Qin L, Li X, Shi J, et al. Gendered effects on inflammation reaction and outcome of COVID-19 patients in Wuhan. J Med Virol 2020; 92.11: 2684– 2692.
- Sun L, Shen L, Fan J, et al. Clinical features of patients with coronavirus disease 2019 from a designated hospital in Beijing, China. J Med Virol 2020; 395.10223.: 497– 506.
- Altıntaş DD, Şenol A. Hastaneye yatırılan COVID-19 hastalarında akciğer bilgisayarlı tomografi parankimal bulguları ile C reaktif protein arasındaki ilişki. Kocaeli Tıp Dergisi 2021; 10.2, 160-66.
- Wu J, Wu X, Zeng W, et al. Chest CT findings in patients with coronavirus disease 2019 and its relationship with clinical features. Investigative Radiol 2020, 55.5: 257.
The relationship between thoracic CT findings and C-reactive protein and ferritin levels in COVID-19 patients
Abstract
Aim: In this study, we aimed to establish the relationship between thoracic computed tomography (CT) findings at initial presentation and CRP and ferritin levels in 232 patients diagnosed with COVID-19.
Material and Method: 232 patients who were diagnosed with COVID-19 and underwent a thoracic CT examination at our hospital between Apr 2020 and Aug 2021 were enrolled in this study. The study group was selected from among individuals aged 18-45 years without any chronic diseases and comorbidities. The patients' complaints, RT-PCR test results and blood biochemistry values from the medical records system, and CT imaging from the PACS system were reviewed retrospectively. Parenchymal lesions, ground-glass area, consolidation and combination of ground-glass area and consolidation observed on thoracic CT were considered typical findings. Blood samples were analyzed in the laboratory using standard methods. Routine blood tests were performed to measure serum C-reactive protein and ferritin levels.
Results: Out of the 232 patients infected with COVID-19, 118 were female and 114 were male. While the mean age of all patients was 34.9, the mean ages of men and women were 34.9 and 35.2, respectively. No significant differences were observed between the ages of patients with and without lung involvement (32.9, 37.9, p=0.903, respectively). CT scan showed typical parenchymal findings in 140 patients out of whom 65 were male and 75 were female. With regard to the morphologic features observed on CT, ground-glass density was the most common (74 patients), followed by a combination of ground-glass density and consolidation (34 patients) and finally consolidation (32 patients). In statistical analysis, no significant differences were found in CRP values between patients with and without lung involvement, whereas a significant difference was noted in ferritin values (p=0.196 and p<0.001, respectively).
Conclusion: We examined the relationship between serum CRP and ferritin levels and lung involvement and established that there is a strong correlation between serum ferritin levels and lung involvement. Considering the radiation exposure caused by CT scans as well as the cost of the procedure, we are convinced that serum ferritin levels may help clinicians in terms of early diagnosis, especially in patients with suspected lung involvement.
References
- Işık Ş. Systemic inflammation indices predict mortality in patients with COVID-19. J Health Sci Med 2022; 5(4): 1086-1091.
- Çolak S, Tekgöz E, Çınar M, et al. Efficacy of tocilizumab in severe COVID-19: a retrospective study. J Health Sci Med 2022; 5: 592-9.
- Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020; 382: 727-33.
- Öztürk Durmaz Ş, Sümer Coşkun A, Yalçın AN. Clinical and prognostic evaluation of patients admitted to the COVID-19 pandemic unit of the emergency department. J Health Sci Med 2021; 4: 835-9.
- Fang Y, Zhang H, Xe J, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radology 2020; 200432.
- Inanc IH, Bursa N, Gültepe A, Sabanoglu C. The impact of COVID-19 on rural population: A retrospective study. J Health Sci Med 2021; 4: 722-7.
- Ceylan N, Savaş R. COVID-19’un radyolojik bulguları. COVID-19 ve Akciğer: Göğüs Hastalıkları Uzmanlarının Bilmesi Gerekenler’ Başlıklı Ek Sayı. Eurasian J Pulmonol 2020: 33-44.
- Nair A, Rodrigues JCL, Hare S, Edey A, et al. A British Society of toracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol 2020; 75: 329-334.
- Sarıcı A, Berber NK, Cağaşar Ö, et al. The impact of laboratory features and comorbidities on the prognosis of patients with COVID-19. J Health Sci Med 2021;4(2):142-146.
- Samprathi M, Jayashree M. Biomarkers in COVID-19: an up-to-date review. Frontiers in Pediatrics 2021; 8: 607647.
- Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395.10229: 1054-62.
- Chen CC, Lee IK, Liu JW, Huang SY, Wang L. Utility of C-reactive protein levels for early prediction of dengue severity in adults. BioMed Res Int 2015.
- Huang P, Liu T, Huang L, et al. Use of chest CT in combination with negative RT-PCR assay for the 2019 novel coronavirus but high clinical suspicion. Radiology 2020; 295: 22-3.
- Doğan E, Gürsoy C, Tapan ÖO, Elibol C, Togan T, Demirbilek S. The comparison of chest X-ray and CT visibility according to size and lesion types in the patients with COVID-19. J Health Sci Med 2020; 5(4), 1151-1155.
- 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: 87-93.
- Hani C, Trieu NH, Saab I, Dangeard S, Bennani S, Chassagnon G. COVID-19 pneumonia: a review of typical CT findings and differential diagnosis. Diagnostic Intervent Imag 2020; 101: 263-68.
- Li Y, Hu Y, Yu J, Ma T. Retrospective analysis of laboratory testing in 54 patients with severe- or critical-type 2019 novel coronavirus pneumonia. Laboratory Investigation 2020; 100: 794-800.
- Baraboutis IG, Gargalianos P, Aggelonidou E, Adraktas A. Initial real-life experience from a designated COVID-19 Centre in Athens, Greece: a proposed therapeutic algorithm. SN Compr Clin Mede 2020; 2.6: 689-693.
- Cheng L, Li H, Li L, et al. Ferritin in the coronavirus disease 2019 (COVID‐19): a systematic review and meta‐analysis. J Clin Lab Analysis 2020; 34.10: e23618.
- Bernheim A, Mei X, Huang M, et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology 2020; 295: 3.
- Sahin GG, Kurtoglu TI, Sahin A, Ozcaglayan O, Sasani H. Atypical CT findings and clinical correlation of COVID-19 pneumonia. Namık Kemal Tıp Dergisi 2020; 8.3: 489-98.
- Özdemir M, Taydaş O, Öztürk MH. COVID-19 enfeksiyonunda toraks bilgisayarlı tomografi bulguları. J Biotechnol Strategic Health Res 2020; 4, 91-6.
- Sayar M S, Bulut D, Çelik S, et al. The impact and relationship of inflammatory markers and radiologic involvement in the COVID-19 patients. J Health Sci Med 2021; 4: 416-21.
- Qin L, Li X, Shi J, et al. Gendered effects on inflammation reaction and outcome of COVID-19 patients in Wuhan. J Med Virol 2020; 92.11: 2684– 2692.
- Sun L, Shen L, Fan J, et al. Clinical features of patients with coronavirus disease 2019 from a designated hospital in Beijing, China. J Med Virol 2020; 395.10223.: 497– 506.
- Altıntaş DD, Şenol A. Hastaneye yatırılan COVID-19 hastalarında akciğer bilgisayarlı tomografi parankimal bulguları ile C reaktif protein arasındaki ilişki. Kocaeli Tıp Dergisi 2021; 10.2, 160-66.
- Wu J, Wu X, Zeng W, et al. Chest CT findings in patients with coronavirus disease 2019 and its relationship with clinical features. Investigative Radiol 2020, 55.5: 257.
Details
| Primary Language | English |
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| Subjects | Health Care Administration |
| Journal Section | Original Article |
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| Publication Date | May 31, 2023 |
| Published in Issue | Year 2023 Volume: 6 Issue: 3 |
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