Abdullah Solmaz, Tuğba ERAT, Filiz SOLMAZ, Tuğba Meliha Fatma Ercan

COVID-19’lu Çocuklarda PCR Yokluğunda Tanıda Bazı Laboratuvar Parametrelerinin Rolü

Amaç: Enfeksiyon hastalıkları vücutta inflamasyon oluşturarak periferik kan hücrelerinde sayısal ve fonksiyonel değişikliklere neden olur. Coronavirüs hastalığı-19 (COVID-19), Polimeraz Zincir Reaksiyonu (PCR) testinin ile teşhis edilen bulaşıcı bir hastalıktır. Ancak PCR testi her zaman temin edilemeyebilir. Bu çalışmanın amacı, çocklarda kan parametrelerindeki sayısal ve fonksiyonel değişikliklerin PCR olmadığı durumda COVID-19 hızlı teşhisine etkisini değerlendirmektir. Metod: Çalışmaya 296 COVID-19 hasta ve 286 sağlıklı çocuk dahil edildi. Bilimsel araştırma için gereken izinler alındı. Değişkenlerin normal dağılımına uygunluğuna göre aanalizlerde bağımsız-t veya Mann-Whitney-U testleri uygulandı. Receiver Operating Characteristic (ROC) eğrileri ve lojistik regresyon modellemesi değerlendirildi. Bulgular: Grupların cinsiyeti ve yaşı benzerdir (p>0.05). Beyaz küre (WBC) (p

Anahtar Kelimeler:

COVİD-19, çocuk, laboratuvar parametreleri

The Role of Some Parameters in Diagnosis in the Absence of PCR in the Children with COVID-19

Objective: Infectious diseases cause inflammation in the human body and produce numerical and functional changes in peripheral blood cells. Coronavirus disease-19 (COVID-19) is also an infectious disease diagnosed by the Polymerase Chain Reaction (PCR) test. However, PCR testing may not always be available. The aim of this study is to show the effect of numerical and functional changes in blood parameters on the diagnosis of COVID-19 in children. Method: In this retrospective study, 296 patients and 286 healthy children were included. Nasopharyngeal swabs were collected. The swabs were analyzed by Real-time PCR. Independent-t/Mann-Whitney-U tests were applied; Receiver Operating Characteristic (ROC) curves and logistic regression modelling were evaluated. Result: Gender and age distributions of the groups were similar (p>0.05). There were significant differences between the two groups in terms of white blood cell (WBC) (p

Keywords:

COVID-19 child, laboratory parameters, diagnosis,

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1. Jiatong S, Wenjun L. Epidemiological characteristics and prevention and control measures of Corona Virus Disease 2019 in children. J Trop Med. 2020;20(2):153‐6. doi.org/10.1002/jmv.25807
2. Wei M, Yuan J, Liu Y, Fu T, Yu X, Zhang ZJ. Novel coronavirus infection in hospitalized infants under 1 year of age in China. Jama. 2020;323(13):1313-4. doi: 10.1001/jama.2020.2131
3. Kemelbekov K, Ospanova E, Baimakhanova B, Zharylkap Z, Klara Z, Zhuldyz Y, et al. Epidemiological characteristics of new coronavirus diseases: Features of risk factors and clinical features of the child population. Electron J Gen Med. 2020;17:252. doi:10.29333/ejgm/8268
4. Qiu H, Wu J, Hong L, Luo Y, Song Q, Chen D. Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID‐19) in Zhejiang, China: An observational cohort study. Lancet Infect Dis. 2020;20:689‐96. doi:10.1016/S1473-3099(20)30198-5
5. Gumus H, Ozcan Y, Kazanasmaz H, Demir A, Guzelcicek A. Clinical Characteristics of COVID-19 Infection in the Pediatric Age Group. Electron J Gen Med. 24;18(5):em308. doi.org/10.29333/ejgm/11019.
6. Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2011;140(6):883–99. doi:10.1016/j.cell.2010.01.025
7. An I, Ucmak D. Evaluation of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, mean platelet volume, and C-reactive protein in patients with psoriasis vulgaris. Dicle Med J. 2018;3:327–34. doi:10.5798/dicletip.457261
8. An I, Ucmak D, Ozturk M. Evaluation of neutrophil-to-lymphocyte ratio, platelet to lymphocyte ratio and mean platelet volume in patients with lichen planus. Ann Med Res. 2019;26:161–4. doi.org/10.5455/annalsmedres.2018.08.169
9. An I, Ucmak D, Ozturk M, Aksoy M, Yildiz I, Ucan E. Neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, mean platelet volume and C-reactive protein values in psoriatic arthritis patients. Ann Med Res. 2019;26:894–8. doi.org/10.5455/annalsmedres.2019.02.074
10. Shen K, Yang Y, Wang T, Zhao D, Jiang Y, Jin R, et al. Diagnosis, treatment, and prevention of 2019 novel Coronavirus infection in children: Experts' consensus statement. World J Pediatr. 2020;16:223‐31. doi:10.1007/s12519-020-00343-7
11. Chen ZM, Fu JF, Shu Q, Chen YH, Hua CZ, Li FB, et al. Diagnosis and treatment recommendations for pediatric respiratory infection caused by the 2019 novel Coronavirus. World J Pediatr. 2020;16:240‐6. doi:10.1007/s12519-020-00345-5
12. Liu Y, Yang Y, Zhang C, Huang F, Wang F, Yuan J, et al. Clinical and biochemical indexes from 2019‐nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci. 2020;63:364‐74. doi:10.1007/s11427-020-1643-8
13. Xia, W, Shao, J, Guo, Y, Peng, X, Li, Z, Hu, D. Clinical and CT features in pediatric patients with COVID-19 infection: Different points from adults. Pediatr Pulmonol. 20202;55(5):1169-74. doi:10.1002/ppul.24718
14. Zhang C, Gu J, Chen Q, Deng N, Li J, Huang L, et al. Clinical and epidemiological characteristics of pediatric SARS-CoV-2 infections in China: A multicenter case series. PLOS Med. 2020;17(6):e1003130. doi:10.1371/journal.pmed.1003130
15. Cai J, Xu J, Lin D, Xu L, Qu Z, Zhang Y, et al. A case series of children with 2019 novel coronavirus infection: Clinical and epidemiological features. Clin Infect Dis. 2020;71(6):1547-51. doi:10.1093/cid/ciaa198
16. Wang D, Ju XL, Xie F, Lu Y, Li FY, Huang HH, et al. Clinical analysis of 31 cases of 2019 novel coronavirus infection in children from six provinces (autonomous region) of northern China. Chinese J Pediatr. 2020;58(4):269-74. doi:10.3760/cma.j.cn112140-20200225-00138
17. Gumus H, Demir A, Yukkaldiran A. Is mean platelet volume a predictive marker for the diagnosis of COVID-19 in children?. Int J Clin Pract. 2020;00:e13892. doi.org/10.1111/ijcp.13892
18. Seyit M, Avci E, Nar R, Senol H, Yilmaz A, Ozen M, et al. Neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio and platelet to lymphocyte ratio to predict the severity of COVID-19. Am J Emerg Med. 2021;40:110-4. doi:10.1016/j.ajem.2020.11.05
19. Sahin U. COVID-19 sürecinde biyobelirteç olarak laktat dehidrogenaz. COVID19 Sürecinde Biyobelirteçlerin Klinik Pratikte Kullanımı. (Ed Kurt Yüksel M):42-9. Ankara, Türkiye Klinikleri, 2021.
20. Dogan O, Devrim E. Tanı ve İzlemde Laboratuvar Testleri. COVID-19. (Eds O Memikoglu, V Genc):31. Ankara, Ankara Üniversitesi Basımevi, 2020.
21. Kishaba T, Tamaki H, Shimaoka Y, Fukuyama H, Yamashiro S. Staging of acute exacerbation in patients with idiopathic pulmonary fibrosis. Lung. 2014;192:141-9. doi:10.1007/s00408-013-9530-0.
22. Yan L, Zhang H, Goncalves J, Xiao Y, Wang M, Guo Y, et al. An interpretable mortality prediction model for COVID-19 patients. Nat Mach Intell. 2020;2:283-8. doi:10.1038/s42256-020-0180-7.
23. Ghayda RA, Lee J, Lee JY, Kim DK, Lee KH, Hong SH, et al. Correlations of Clinical and Laboratory Characteristics of COVID-19: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2020;17(14):5026. doi:10.3390/ijerph17145026.
24. Ji P, Zhu J, Zhong Z, Li H, Pang J, Li B, et al. Association of elevated inflammatory markers and severe COVID-19: A meta-analysis. Medicine. 2020;99(47):e23315. doi:10.1097/MD.0000000000023315.

ISSN: 1309-3878
Yayın Aralığı: Yılda 3 Sayı
Başlangıç: 2009
Yayıncı: Düzce Üniversitesi Tıp Fakültesi Aile Hekimliği AD adına Yrd.Doç.Dr.Cemil Işık Sönmez