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Covid-19 Yoğun Bakım Hastalarını Ayırt Etmek İçin Kullanılabilecek Laboratuvar Testleri

Year 2023, , 208 - 216, 31.01.2023
https://doi.org/10.46237/amusbfd.1230484

Abstract

Amaç: COVID-19 pandemisinde yoğun bakım ihtiyacı artmıştır ve bu süreçte laboratuvar parametreleri önem kazanmıştır. RT-PCR(+) 60 servis ve 26 yoğun bakım COVID-19 hastasının başvuru semptomlarını, eşlik eden hastalıklarını, yaş ortalamasını ve laboratuvar verilerini retrospektif olarak değerlendirip, hastaların klinik ve laboratuvar özelliklerini ortaya koymayı prognoz hakkında bize yardımcı olacak parametreleri belirlemeyi amaçladık.
Yöntem: RT-PCR (+) COVID-19 hastalarının verileri hastane ve laboratuvar bilgi sistemlerinden geriye dönük olarak toplandı. Hastanemizde tedavi gören toplam 86 COVID-19 hastası, yatan hastalar ve yoğun bakım hastaları olarak gruplandırıldı. Hastaneye başvuru semptomları, komorbid hastalıkları ve laboratuvar verileri istatistiksel olarak değerlendirildi.
Bulgular: Çalışma popülasyonunun ortalama yaşları yoğun bakım ve servis hastalarında sırasıyla 64 ve 58 idi. Yoğun bakım hastalarının %73'ünde, servis hastalarının %51,6'sında komorbid hastalık saptandı. Her iki grupta da hipertansiyon (43%) ve diabetes mellitus (22%) en sık eşlik eden hastalıklardı. Yoğun bakım hastalarında nötrofil [(6.11(1.18-19.7) ile 3.83(1.51-12.07) 109 /L, p=0.007], nötrofil/lenfosit oranı [5.74 (1.34-28.86) ile 2.11 (0.64-9.14), p<0.001], D-dimer [ 482 (52-2522) ile 249 (59-3561) µg/L, p=0.001], CRP [91.8 (0.49-331.7) ile 14 (0-161) mg/L, p< 0.001] ve prokalsitonin [0.19 (0-6.94) ile 0.04 (0-0.86) µg/L, p< 0.001] değerleri anlamlı olarak daha yüksek, lenfosit [(1.12±0.54 ) ile ( 1.81±0.90) 109 /L, p<0.001] değerleri daha düşük olarak bulundu.
Sonuç: COVID-19 virüsü insanları etkilemeye devam etmekte ve bazı hastalarda yoğun bakım ihtiyacı görülmektedir. Yoğun bakım hastalarında lenfopeni ve nötrofil, N/L oranı, D-dimer, CRP, prokalsitonin düzeylerindeki artış dikkat çekicidir.  

Supporting Institution

Çalışmamız herhangi bir destek almamıştır.

Project Number

-

References

  • 1. Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., et al. (2020). Early transmission dynamics in Wuhan, China, of novel coronavirus-ınfected pneumonia. The New England journal of medicine, 382(13), 1199–1207.
  • 2. Hussain, Y. H,, Baderkhan, B., Hamid, M., Hamid, A. (2020). Mortalities and morbidities trends of COVID-19 infection, from explosiveness to aggressiveness, understanding gaps in system response and transmission chain events. Journal of Health Care and Research. 1. 22-27.
  • 3. Prompetchara, E., Ketloy, C., & Palaga, T. (2020). Immune responses in COVID-19 and potential vaccines: Lessons learned from SARS and MERS epidemic. Asian Pacific journal of allergy and immunology, 38(1), 1–9.
  • 4. Ochani, R., Asad, A., Yasmin, F., Shaikh, S., Khalid, H., Batra, S., et al. (2021). COVID-19 pandemic: from origins to outcomes. A comprehensive review of viral pathogenesis, clinical manifestations, diagnostic evaluation, and management. Le infezioni in medicina, 29(1), 20–36.
  • 5. Wan, S., Yi, Q., Fan, S., Lv, J., Zhang, X., Guo, L.X., et al. (2020). Characteristics of lymphocyte subsets and cytokines in peripheral blood of 123 hospitalized patients with 2019 novel coronavirus pneumonia (NCP). medRxiv.
  • 6. Karaca, B. (2020). Clinical findings of the COVID-19 in the adult group. J Biotechnol and Strategic Health Res. 4, 85-90
  • 7. Zhang, Z. L., Hou, Y. L., Li, D. T., Li, F. Z. (2020). Laboratory findings of COVID-19: a systematic review and meta-analysis. Scandinavian journal of clinical and laboratory investigation, 80(6), 441–447.
  • 8. Cheng, Z., Lu, Y., Cao, Q., Qin, L., Pan, Z., Yan, F., et al. (2020). Clinical features and chest CT manifestations of coronavirus disease 2019 (COVID-19) in a single-center study in Shanghai, China. AJR. American journal of roentgenology, 215(1), 121–126.
  • 9. Xiong, Y., Sun, D., Liu, Y., Fan, Y., Zhao, L., Li, X., et al. (2020). Clinical and high-resolution CT features of the COVID-19 infection: Comparison of the initial and follow-up changes. Investigative radiology, 55(6), 332–339.
  • 10. Huang, Y., Tu, M., Wang, S., Chen, S., Zhou, W., Chen, D., et al. (2020). Clinical characteristics of laboratory confirmed positive cases of SARS-CoV-2 infection in Wuhan, China: A retrospective single center analysis. Travel medicine and infectious disease, 36, 101606.
  • 11. Chan, J. F., Yuan, S., Kok, K. H., To, K. K., Chu, H., Yang, J., et al. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet (London, England), 395(10223), 514–523.
  • 12. World Health Organization (2019). Coronavirus disease (COVID-19) pandemic https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (Date of access: 01.06.2023)
  • 13. Guan, W., Ni, Z., Hu, Y., Liang, W., Ou, C., Q, He., J., et al.( 2020). Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med,382, 1708-20.
  • 14. Justino, D. C. P., Silva, D. F. O., Costa, K. T. D. S., de Morais, T. N. B., de Andrade, F. B. (2022). Prevalence of comorbidities in deceased patients with COVID-19: A systematic review. Medicine, 101(38), e30246.
  • 15. Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., et al. (2020). Dysregulation of immune response in patients with coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. Jul 28, 71(15):762-768.
  • 16. Parveen, R., Sehar, N., Bajpai, R., & Agarwal, N. B. (2020). Association of diabetes and hypertension with disease severity in covid-19 patients: A systematic literature review and exploratory meta-analysis. Diabetes research and clinical practice, 166, 108295.
  • 17. Muniyappa, R., Gubbi, S. (2020). COVID-19 pandemic, coronaviruses, and diabetes mellitus. American journal of physiology. Endocrinology and metabolism, 318(5), E736–E741.
  • 18. Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., et al. (2020). Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International journal of infectious diseases, 94, 91–95.
  • 19. Tian, S., Liu, H., Liao, M., Wu, Y., Yang, C., Cai, Y., et al. (2020). Analysis of mortality in patients with COVID-19: Clinical and laboratory parameters. Open forum infectious diseases, 7(5), ofaa152.
  • 20. Henry, B. M., de Oliveira, M. H. S., Benoit, S., Plebani, M., & Lippi, G. (2020). Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clinical chemistry and laboratory medicine, 58(7), 1021–1028.
  • 21. Iba, T., Connors, J. M., Levy, J. H. (2020). The coagulopathy, endotheliopathy, and vasculitis of COVID-19. Inflammation research, 69(12), 1181–1189.
  • 22. Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet (London, England), 395(10229), 1054–1062.
  • 23. Tang, N., Li, D., Wang, X., Sun, Z. (2020). Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. Journal of thrombosis and haemostasis: JTH, 18(4), 844–847.
  • 24. Yao, Y., Cao, J., Wang, Q., Shi, Q., Liu, K., Luo, Z., et al. (2020). D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study. Journal of intensive care, 8, 49
  • 25. Pepys, M. B., & Hirschfield, G. M. (2003). C-reactive protein: a critical update. The Journal of clinical investigation, 111(12), 1805–1812.
  • 26. Chen, W., Zheng, K. I., Liu, S., Yan, Z., Xu, C., & Qiao, Z. (2020). Plasma CRP level is positively associated with the severity of COVID-19. Annals of clinical microbiology and antimicrobials, 19(1), 18.
  • 27. Liu, F., Li, L., Xu, M., Wu, J., Luo, D., Zhu, Y., et al. (2020). Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 127, 104370.
  • 28. Hu, R., Han, C., Pei, S., Yin, M., & Chen, X. (2020). Procalcitonin levels in COVID-19 patients. International journal of antimicrobial agents, 56(2), 106051.
  • 29. Lippi, G., & Plebani, M. (2020). Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis. Clinica chimica acta; international journal of clinical chemistry, 505, 190–191.
  • 30. Zhang, J. J., Dong, X., Cao, Y. Y., Yuan, Y. D., Yang, Y. B., Yan, Y.et al. (2020). Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. Allergy, 75(7), 1730–1741.

Laboratory Tests to Distinguish COVID-19 Intensive Care Patients

Year 2023, , 208 - 216, 31.01.2023
https://doi.org/10.46237/amusbfd.1230484

Abstract

Objective: The need for intensive care units has increased in the COVID-19 pandemic, and in this process, laboratory parameters are important. We aimed to evaluate the admission symptoms retrospectively, comorbid diseases, mean age, and laboratory data of RT-PCR(+) 60 service and 26 intensive care COVID-19 patients, to reveal the clinical and laboratory characteristics of the patients and to define the parameters that will help us about the prognosis..
Methods: We divided 86 COVID-19 RT-PCR (+) patients treated in our hospital into two groups as inpatients and intensive care patients. We compared symptom, comorbid disease and laboratory data in these patient groups and compared laboratory data statistically.
Results: In our study, while the mean age of intensive care patients was 64, it was 58 in service patients. Comorbid diseases were found in 73% of intensive care patients and 51.6% in service patients. Hypertension (43%) and diabetes mellitus (22%) are the most common comorbid diseases in both groups. In addition, while neutrophil [(6.11(1.18-19.7) vs. 3.83(1.51-12.07) 109 /L, p=0.007], N/L ratio [5.74 (1.34-28.86) vs. 2.11 (0.64-9.14), p<0.001], D-dimer [ 482 (52-2522) vs. 249 (59-3561) µg/L, p=0.001], CRP [91.8 (0.49-331.7) vs. 14 (0-161) mg/L, p< 0.001], and procalcitonin [0.19 (0-6.94) vs. 0.04 (0-0.86) µg/L, p< 0.001] values were found to be significantly higher in intensive care patients, lymphocyte values [(1.12±0.54 ) vs. ( 1.81±0.90) 109 /L, p<0.001] were found to be significantly lower.
Conclusion: COVID-19 is still affecting our world, and patients need intensive care. Lymphopenia, increase in neutrophil level, N/L ratio, D-dimer, CRP and procalcitonin levels are remarkable in intensive care patients.

Project Number

-

References

  • 1. Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., et al. (2020). Early transmission dynamics in Wuhan, China, of novel coronavirus-ınfected pneumonia. The New England journal of medicine, 382(13), 1199–1207.
  • 2. Hussain, Y. H,, Baderkhan, B., Hamid, M., Hamid, A. (2020). Mortalities and morbidities trends of COVID-19 infection, from explosiveness to aggressiveness, understanding gaps in system response and transmission chain events. Journal of Health Care and Research. 1. 22-27.
  • 3. Prompetchara, E., Ketloy, C., & Palaga, T. (2020). Immune responses in COVID-19 and potential vaccines: Lessons learned from SARS and MERS epidemic. Asian Pacific journal of allergy and immunology, 38(1), 1–9.
  • 4. Ochani, R., Asad, A., Yasmin, F., Shaikh, S., Khalid, H., Batra, S., et al. (2021). COVID-19 pandemic: from origins to outcomes. A comprehensive review of viral pathogenesis, clinical manifestations, diagnostic evaluation, and management. Le infezioni in medicina, 29(1), 20–36.
  • 5. Wan, S., Yi, Q., Fan, S., Lv, J., Zhang, X., Guo, L.X., et al. (2020). Characteristics of lymphocyte subsets and cytokines in peripheral blood of 123 hospitalized patients with 2019 novel coronavirus pneumonia (NCP). medRxiv.
  • 6. Karaca, B. (2020). Clinical findings of the COVID-19 in the adult group. J Biotechnol and Strategic Health Res. 4, 85-90
  • 7. Zhang, Z. L., Hou, Y. L., Li, D. T., Li, F. Z. (2020). Laboratory findings of COVID-19: a systematic review and meta-analysis. Scandinavian journal of clinical and laboratory investigation, 80(6), 441–447.
  • 8. Cheng, Z., Lu, Y., Cao, Q., Qin, L., Pan, Z., Yan, F., et al. (2020). Clinical features and chest CT manifestations of coronavirus disease 2019 (COVID-19) in a single-center study in Shanghai, China. AJR. American journal of roentgenology, 215(1), 121–126.
  • 9. Xiong, Y., Sun, D., Liu, Y., Fan, Y., Zhao, L., Li, X., et al. (2020). Clinical and high-resolution CT features of the COVID-19 infection: Comparison of the initial and follow-up changes. Investigative radiology, 55(6), 332–339.
  • 10. Huang, Y., Tu, M., Wang, S., Chen, S., Zhou, W., Chen, D., et al. (2020). Clinical characteristics of laboratory confirmed positive cases of SARS-CoV-2 infection in Wuhan, China: A retrospective single center analysis. Travel medicine and infectious disease, 36, 101606.
  • 11. Chan, J. F., Yuan, S., Kok, K. H., To, K. K., Chu, H., Yang, J., et al. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet (London, England), 395(10223), 514–523.
  • 12. World Health Organization (2019). Coronavirus disease (COVID-19) pandemic https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (Date of access: 01.06.2023)
  • 13. Guan, W., Ni, Z., Hu, Y., Liang, W., Ou, C., Q, He., J., et al.( 2020). Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med,382, 1708-20.
  • 14. Justino, D. C. P., Silva, D. F. O., Costa, K. T. D. S., de Morais, T. N. B., de Andrade, F. B. (2022). Prevalence of comorbidities in deceased patients with COVID-19: A systematic review. Medicine, 101(38), e30246.
  • 15. Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., et al. (2020). Dysregulation of immune response in patients with coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. Jul 28, 71(15):762-768.
  • 16. Parveen, R., Sehar, N., Bajpai, R., & Agarwal, N. B. (2020). Association of diabetes and hypertension with disease severity in covid-19 patients: A systematic literature review and exploratory meta-analysis. Diabetes research and clinical practice, 166, 108295.
  • 17. Muniyappa, R., Gubbi, S. (2020). COVID-19 pandemic, coronaviruses, and diabetes mellitus. American journal of physiology. Endocrinology and metabolism, 318(5), E736–E741.
  • 18. Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., et al. (2020). Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International journal of infectious diseases, 94, 91–95.
  • 19. Tian, S., Liu, H., Liao, M., Wu, Y., Yang, C., Cai, Y., et al. (2020). Analysis of mortality in patients with COVID-19: Clinical and laboratory parameters. Open forum infectious diseases, 7(5), ofaa152.
  • 20. Henry, B. M., de Oliveira, M. H. S., Benoit, S., Plebani, M., & Lippi, G. (2020). Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clinical chemistry and laboratory medicine, 58(7), 1021–1028.
  • 21. Iba, T., Connors, J. M., Levy, J. H. (2020). The coagulopathy, endotheliopathy, and vasculitis of COVID-19. Inflammation research, 69(12), 1181–1189.
  • 22. Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., et al. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet (London, England), 395(10229), 1054–1062.
  • 23. Tang, N., Li, D., Wang, X., Sun, Z. (2020). Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. Journal of thrombosis and haemostasis: JTH, 18(4), 844–847.
  • 24. Yao, Y., Cao, J., Wang, Q., Shi, Q., Liu, K., Luo, Z., et al. (2020). D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study. Journal of intensive care, 8, 49
  • 25. Pepys, M. B., & Hirschfield, G. M. (2003). C-reactive protein: a critical update. The Journal of clinical investigation, 111(12), 1805–1812.
  • 26. Chen, W., Zheng, K. I., Liu, S., Yan, Z., Xu, C., & Qiao, Z. (2020). Plasma CRP level is positively associated with the severity of COVID-19. Annals of clinical microbiology and antimicrobials, 19(1), 18.
  • 27. Liu, F., Li, L., Xu, M., Wu, J., Luo, D., Zhu, Y., et al. (2020). Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 127, 104370.
  • 28. Hu, R., Han, C., Pei, S., Yin, M., & Chen, X. (2020). Procalcitonin levels in COVID-19 patients. International journal of antimicrobial agents, 56(2), 106051.
  • 29. Lippi, G., & Plebani, M. (2020). Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis. Clinica chimica acta; international journal of clinical chemistry, 505, 190–191.
  • 30. Zhang, J. J., Dong, X., Cao, Y. Y., Yuan, Y. D., Yang, Y. B., Yan, Y.et al. (2020). Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. Allergy, 75(7), 1730–1741.
There are 30 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Research Articles
Authors

Leyla Demir 0000-0001-9174-8935

Serap Çuhadar 0000-0001-7093-5731

Tuğba Öncel Van 0000-0002-3167-0432

Saliha Aksun 0000-0002-7991-1645

Project Number -
Publication Date January 31, 2023
Published in Issue Year 2023

Cite

APA Demir, L., Çuhadar, S., Öncel Van, T., Aksun, S. (2023). Laboratory Tests to Distinguish COVID-19 Intensive Care Patients. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi, 7(1), 208-216. https://doi.org/10.46237/amusbfd.1230484