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Covid-19 Hastalarının Kan Gazı Ölçümleri ve Hematolojik Manifestasyonlarının Mortalite ile İlişkisi: Retrospektif Analiz

Yıl 2022, Cilt: 17 Sayı: 2, 83 - 89, 15.07.2022
https://doi.org/10.17517/ksutfd.1099333

Öz

Amaç: Amacımız, COVİD-19’lu hastaların yoğun bakım ünitesine yatış ve sonrası dönemde kan gazı ve tam kan sayımı parametrelerinin mortalite ile ilişkilerini araştırmaktır.
Gereç ve Yöntemler: Hastalar grup yaşamayan ve grup yaşayan olarak iki gruba ayrıldı. Hematolojik parametreler 1, 3, 5. gün kaydedildi.
Bulgular: Yüz kırk iki hasta retrospektif olarak analiz edildi. Bunların 46’sı (%32) kadındı. 71 hasta (%50) yaşamayan gruptaydı. Yaşamayan grupta ortalama yaş 61, yaşayan grupta ortalama yaş 60’tı. Noninvaziv ventilasyon günü ve invaziv ventilasyon günü yaşamayan grupta daha yüksekti. Yaşamayan grupta yoğun bakıma yatışta, 3.günde ve 5.günde PO2/FiO2 (p<0.001), lenfosit sayısı (p<0.001), monosit sayısı (p<0.010) ve eozinofil yüzdesi (p<0.025) daha düşük iken nötrofil-lenfosit oranı daha yüksekti (p<0.001). Yoğun bakım yatışta ve üçüncü günde trombosit-lenfosit oranı yaşamayan grupta yaşayan gruptan daha yüksekti (p<0.020). Yoğun bakıma yatışta, 3.gün ve 5.günde, sistemik immün-inflamasyon indeksi yaşamayan grupta yaşayan gruptan daha yüksekti (p<0.011). PO2/FiO2, hematokrit, monosit yüzdesi, eozinofil sayısının mortalite üzerinde etkili olduğu bulundu. Monosit yüzdesindeki azalma, ölüm olasılığını 1.6 kat artırdı.
Sonuç: Kan gazı ve tam kan sayımı parametrelerindeki değişiklikler COVİD-19 hastalarında mortaliteyi etkiledi. Bu çalışma mortalite ile ilgili öngörü sağlayarak, daha etkin tedavi stratejisi geliştirilmesine yol açabilir.

Kaynakça

  • World Health Organization. Coronavirus Disease (COVID-19) Outbreak. https://www.who.int. Accessed January 31, 2022.
  • Sun X, Wanga T, Cai D, Hu Z, Chen J, Liao H et al. Cytokine storm intervention in the early stages of COVID-19 pneumonia. Cytokine and Growth Factor Rev. 2020;53:38–42.
  • Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z et al. Clinical course and risk factors for mortality of adult inpatients with COVID- 19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–1062.
  • Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H et al. Clinical and immunological features of severe and moderate coronavirus disease 2019. J Clin Invest. 2020;130:2620–2629.
  • Lippia G, Plebanib M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis. Clin Chim Acta. 2020;506:145–148.
  • Russell CD, Parajuli A, Gale HJ, Bulteel NS, Schuetz P, de Jager CPC et al. The utility of peripheral blood leucocyte ratios as biomarkers in infectious diseases: a systematic review and meta-analysis. J Infect. 2019;78 (5):339–348.
  • Peng J, Qi D, Yuan G, Deng X, Mei Y, Feng L et al. Diagnostic value of peripheral hematologic markers for coronavirus disease 2019 (COVID-19): A multicenter, cross-sectional study. J. Clin. Lab. Anal. 2020;34(10): e23475.
  • Fois AG, Paliogiannis P, Scano V, Cau S, Babudieri S, Perra R et al. The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients. Molecules. 2020;25(23):5725.
  • Kucukcan NE, Kucukcan A. The relationship between hemogram parameters with clinical progress in COVID-19 patients. Dicle Med J. 2020;47(4):763-769
  • Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475–481. Deng Y, Liu W, Liu K, Fang YY, Shang J, Zhou L et al. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 in Wuhan, China: a retrospective study. Chin Med J (Engl). 2020;133(11):1261–1267.
  • Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y et al. Dysregulation of immune response in patients with COVID-19 in Wuhan, China, Clin Infect Dis. 2020;71(15):762–768. 13. Guan WJ, Ni ZY, Hu Y, W. Liang, C. Ou, J. He et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720.
  • Sun D, Zhang D, Tian R, Li Y, Wang Y, Cao J et al. The underlying changes and predicting role of peripheral blood inflammatory cells in severe COVID-19 patients: A sentinel? Clinica Chimica Acta 2020;508:122–9. 15. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China. JAMA. 2020;323(11):1061–1069.
  • Wu C, Chen X, Cai Y, Xia J, Zhou X, Xue S et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med. 2020;180(7):934–943. 17. Zhang H, Cao X, Kong M, Mao X, Huang L, He P et al. Clinical and hematological characteristics of 88 patients with COVID-19. Int J Lab Hematol. 2020;42 (6):780–787.
  • Li X, Liu C, Mao Z, Xiao M, Wang L, Qi S et al. Predictive values of neutrophil-to-lymphocyte ratio on disease severity and mortality in COVID-19 patients: a systematic review and meta- analysis. Crit Care. 2020;24(1):647.
  • Jenne CN, Kubes P. Platelets in inflammation and infection. Platelets. 2015;26 (4):286-292.
  • Qu R, Ling Y, Zhang YH, Wei L, Chen X, Li XM, et al. Platelet- to-lymphocyte ratio is associated with prognosis in patients with coronavirus disease-19. J Med Virol. 2020;92(9):1533-1541.
  • Yang AP, Liu JP, Tao WQ, Li HM. The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients. Int Immunopharmacol. 2020;84:106504.
  • Lagunas-Alvarado M, Mijangos-Huesca FJ, Teran-Gonz ´ alez JO, Alvarado L, Zavala M, Franco R et al. Systemic immune inflammatory index in sepsis. Med. Int. M´ex. 2017;33(3),303–309.
  • Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395 (10223):497–506.

Relationship of Blood Gas Measurements and Hematological Manifestations of COVID-19 Patients with Mortality: Retrospective Analysis

Yıl 2022, Cilt: 17 Sayı: 2, 83 - 89, 15.07.2022
https://doi.org/10.17517/ksutfd.1099333

Öz

Objective: The aim was to investigate the relationship between blood gas and complete blood count parameters and mortality in patients with COVID-19 during and after in the intensive care unit (ICU).
Material and Methods: Patients were divided as group nonsurvivor and group survivor. Hematological parameters were registered on the day 1, 3, 5.
Results: A total of 142 patients were analyzed retrospectively in the study. Out of them, 46 were women (32%). Seventy-one patients were in group nonsurvivor (50%). The median age of group nonsurvivor patients was 61 years, and the median age of group survivor patients was 60 years. Noninvasive ventilation day and mechanical ventilation day were higher in group nonsurvivor. In group nonsurviver, at the admission to the ICU, in the third day and in the fifth day of ICU, PO2/FiO2 (p<0.001), the lymphocyte count (p<0.001), the monocyte count (p<0.010) and the eosinophil percentages (p<0.025) were lower while the neutrophil-lymphocyte ratio was higher (p<0.001) compared to group survivor. At the admission and in third day of ICU, platelet–lymphocyte ratio were higher in group nonsurvivor than group survivor (p<0.020). At the admission, in the third and the fifth day of ICU, systemic immune-inflammation index were
higher in group nonsurvivor than group survivor (p<0.011). The effects of PO2/FiO2, hematocrit, monocyte percentage, eosinophil count on mortality were found to be significant. The decrease in monocyte percentage increased the probability of mortality 1.6 times.
Conclusion: Changes in blood gas and complete blood count parameters affected the mortality in COVID-19 patients. This study may lead to the development of a more effective treatment strategy by providing a prediction about mortality.

Kaynakça

  • World Health Organization. Coronavirus Disease (COVID-19) Outbreak. https://www.who.int. Accessed January 31, 2022.
  • Sun X, Wanga T, Cai D, Hu Z, Chen J, Liao H et al. Cytokine storm intervention in the early stages of COVID-19 pneumonia. Cytokine and Growth Factor Rev. 2020;53:38–42.
  • Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z et al. Clinical course and risk factors for mortality of adult inpatients with COVID- 19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–1062.
  • Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H et al. Clinical and immunological features of severe and moderate coronavirus disease 2019. J Clin Invest. 2020;130:2620–2629.
  • Lippia G, Plebanib M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis. Clin Chim Acta. 2020;506:145–148.
  • Russell CD, Parajuli A, Gale HJ, Bulteel NS, Schuetz P, de Jager CPC et al. The utility of peripheral blood leucocyte ratios as biomarkers in infectious diseases: a systematic review and meta-analysis. J Infect. 2019;78 (5):339–348.
  • Peng J, Qi D, Yuan G, Deng X, Mei Y, Feng L et al. Diagnostic value of peripheral hematologic markers for coronavirus disease 2019 (COVID-19): A multicenter, cross-sectional study. J. Clin. Lab. Anal. 2020;34(10): e23475.
  • Fois AG, Paliogiannis P, Scano V, Cau S, Babudieri S, Perra R et al. The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients. Molecules. 2020;25(23):5725.
  • Kucukcan NE, Kucukcan A. The relationship between hemogram parameters with clinical progress in COVID-19 patients. Dicle Med J. 2020;47(4):763-769
  • Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475–481. Deng Y, Liu W, Liu K, Fang YY, Shang J, Zhou L et al. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 in Wuhan, China: a retrospective study. Chin Med J (Engl). 2020;133(11):1261–1267.
  • Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y et al. Dysregulation of immune response in patients with COVID-19 in Wuhan, China, Clin Infect Dis. 2020;71(15):762–768. 13. Guan WJ, Ni ZY, Hu Y, W. Liang, C. Ou, J. He et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720.
  • Sun D, Zhang D, Tian R, Li Y, Wang Y, Cao J et al. The underlying changes and predicting role of peripheral blood inflammatory cells in severe COVID-19 patients: A sentinel? Clinica Chimica Acta 2020;508:122–9. 15. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China. JAMA. 2020;323(11):1061–1069.
  • Wu C, Chen X, Cai Y, Xia J, Zhou X, Xue S et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med. 2020;180(7):934–943. 17. Zhang H, Cao X, Kong M, Mao X, Huang L, He P et al. Clinical and hematological characteristics of 88 patients with COVID-19. Int J Lab Hematol. 2020;42 (6):780–787.
  • Li X, Liu C, Mao Z, Xiao M, Wang L, Qi S et al. Predictive values of neutrophil-to-lymphocyte ratio on disease severity and mortality in COVID-19 patients: a systematic review and meta- analysis. Crit Care. 2020;24(1):647.
  • Jenne CN, Kubes P. Platelets in inflammation and infection. Platelets. 2015;26 (4):286-292.
  • Qu R, Ling Y, Zhang YH, Wei L, Chen X, Li XM, et al. Platelet- to-lymphocyte ratio is associated with prognosis in patients with coronavirus disease-19. J Med Virol. 2020;92(9):1533-1541.
  • Yang AP, Liu JP, Tao WQ, Li HM. The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients. Int Immunopharmacol. 2020;84:106504.
  • Lagunas-Alvarado M, Mijangos-Huesca FJ, Teran-Gonz ´ alez JO, Alvarado L, Zavala M, Franco R et al. Systemic immune inflammatory index in sepsis. Med. Int. M´ex. 2017;33(3),303–309.
  • Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395 (10223):497–506.
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Refika Kılıçkaya 0000-0002-2687-6022

Yavuz Orak 0000-0002-8356-6223

Filiz Orak 0000-0001-5153-7391

Adem Doğaner 0000-0002-0270-9350

Erken Görünüm Tarihi 11 Temmuz 2022
Yayımlanma Tarihi 15 Temmuz 2022
Gönderilme Tarihi 6 Nisan 2022
Kabul Tarihi 13 Mayıs 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 17 Sayı: 2

Kaynak Göster

AMA Kılıçkaya R, Orak Y, Orak F, Doğaner A. Relationship of Blood Gas Measurements and Hematological Manifestations of COVID-19 Patients with Mortality: Retrospective Analysis. KSÜ Tıp Fak Der. Temmuz 2022;17(2):83-89. doi:10.17517/ksutfd.1099333