Research Article
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The Effectiveness of Platelet and D-Dimer Levels in Predicting Prognosis in Intensive Care Patients Diagnosed With COVID-19

Year 2022, , 493 - 498, 27.12.2022
https://doi.org/10.35440/hutfd.1185729

Abstract

Background: The pathophysiology of coagulopathy in patients with Corona virus disease 2019 (COVID-19) and its clinical manifestations remain unclear. However, several studies have reported abnormal coagulation parameters, notably in patients with COVID-19 associated pneumonia and acute respiratory distress syn-drome. Although the underlying mechanism of COVID-19 coagulopathy remains unknown, it has been sug-gested to be a form of disseminated intravascular coagulation. We aimed to determine the predictive value of platelet count and D-dimer levels in predicting prognosis in intensive care patients with a diagnosis of COVID-19.
Materials and Methods: Demographic, clinical, laboratory data and radiological findings were obtained from the hospital electronic patient record using a standard data collection form. Platelet counts and D-dimer data were noted. Intensive care stay, mechanical ventilator duration and hospital stay of the patients were ana-lyzed retrospectively. Clinical data covers also comorbid conditions.
Results: The study included 102 intensive care patients with COVID-19 diagnosis. All the patients had Poly-merase Chain Reaction (PCR) confirmation and abnormalities on chest computed tomography (CT) consistent with COVID-19. Bilateral pneumonia proven by chest CT was reported in 91.2% of the patient. The platelet count of patients who died was median 247x109 /L (min-max 192 - 354), D dimer levels was median 7.03 (min-max 3.36-17.7) mg/L. Patients who living were platelet counts median 310 x109/L (min-max 234 – 350), D-dimer levels median 1.59 (min-max 0.82 -2). There was no statistically significant difference when the platelet count of the survived and deceased patients were compared (p=0.193). But the patients who died was D-dimer levels statistically higher (p=0.001).
Conclusions: High or non-decreasing D-dimer levels may indicate poor prognosis in patients with COVID-19 pneumonia whereas platelet counts don’t have a predictive value.

References

  • 1- Bastug A, Bodur H, Erdogan S, et.al. Clinical and laboratory features of COVID- 19: Predictors of severe prognosis. Int Immunopharmacol 2020;88:e106950.
  • 2- Lu R, Zhao X, Li J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 2020;395 (10224):565–74.
  • 3- Sohrabi C, Alsafi Z, O'Neill N, et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int. J. Surg 2020; 76:71–6.
  • 4- Sun X, Wang T, Cai D, et al. Cytokine storm intervention in the early stages of COVID-19 pneumonia. Cytokine Growth Factor Rev 2020; 53:38–42.
  • 5- Ranucci M, Ballotta A, Di Dedda U, et al. The procoagulant pattern of patients with COVID-19 acute respiratory distress syndrome. J Thromb Haemost 2020;18 (7): 1747–51.
  • 6- Whiteman SC, Bianco A, Knight RA, Spiteri MA. Human rhinovirus selectively modulates membranous and soluble forms of its intercellular adhesion molecule-1 (ICAM-1) receptor to promote epithelial cell infectivity. J Biol Chem 2003 4; 278(14): 11954–61.
  • 7- Svartengren M, Falk R, Philipson K. Long-term clearance from small airways decreases with age. Eur Respir J 2005; 26(4):609–15.
  • 8- Cao W, Li T. COVID-19: towards understanding of pathogenesis. Cell Res 2020; 30(5):367–9.
  • 9- Wang D, Yin Y, Hu C, et al. Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan, China. Crit Care 2020; 24 (1):188.
  • 10- Du Y, Tu L, Zhu P, et al. Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study. Am J Respir Crit Care Med 2020; 201(11):1372–9.
  • 11- Wang Y, You XY, Wang YJ, et al. Estimating the basic reproduction number of COVID-19 in Wuhan, China. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41(4):476–9.
  • 12- Roy J, Jain R, Golamari R, Vunnam R, Sahu N. COVID-19 in the geriatric population. Int J Geriatr Psychiatry 2020; 35(12):1437–41.
  • 13- Boccia M, Aronne L, Celia B et al. COVID-19 and coagulative axis: Review of emerging aspects in a novel disease. Monaldi. Arch. Chest. Dis 2020; 90(2).
  • 14- Al-Samkari H, Karp Leaf RS, Dzik WH, et al. COVID-19 and coagulation: Bleeding and thrombotic manifestations of SARS-CoV2 Infection. Blood 2020; 136(4):489–500.
  • 15- Connors JM, Levy JH. COVID-19 and its implications for thrombosis and anticoagulation. Blood 2020;135 (23):2033–40.
  • 16- Kowalewski M, Fina D, Słomka A et al. COVID-19 and ECMO: The interplay between coagulation and inflammation—a narrative review. Crit. Care 2020;24 (1):205.
  • 17- 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.
  • 18- Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost 2020; 18:844–7.
  • 19- Martín Rojas RM, Pérez Rus G, Delgado Pinos VE, et al. COVID-19 coagulopathy: an-in depth analysis of the coagulation system. Eur J Haematol 2020;105 (6):741–50.
  • 20- Mikami T, Miyashita H, Yamada T, et al. Risk factors for mortality in patients with COVID-19 in New York City. J Gen Intern Med 2021;36 (1):17–26.
  • 21- Cummings MJ, Baldwin MR, Abrams D, et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet 2020;395 (10239):1763–70.
  • 22- Zhou S, Zhu T, Wang Y, Xia L. Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. Eur Radiol 2020:1–9.
  • 23-Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020;382 (18):1708–20.
  • 24- Snijders D, Schoorl M, Schoorl M, Bartels PC, Van Der Werf TS, Boersma WG. D-dimer levels in assessing severity and clinical outcome in patients with community-acquired pneumonia. A secondary analysis of a randomised clinical trial. Eur J Intern Med 2012;23(5):436–41.
  • 25-Chen N, Zhou M, Dong X, 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.
  • 26- Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223):497–506.
  • 27- Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11):1061–9.
  • 28- Wu C, Chen X, Cai Y, 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; 80(7):934–43.
  • 29- Han H, Yang L, Liu R, et al. Prominent changes in blood coagulation of patients with SARS-CoV-2 infection. Clin Chem Lab Med 2020; 58(7):1116–20.
  • 30- Lippi G, Favaloro EJ. D-dimer is associated with severity of coronavirus disease 2019: a pooled analysis. Thromb Haemost 2020;120 (5):876–8.
  • 31- Lillicrap D. Disseminated intravascular coagulation in patients with 2019-nCoV pneumonia. J Thromb Haemost 2020; 4:786–7.
  • 32- Guan W-J, Liang W-H, Y. Zhao, Liang H-R, et al. Comorbidity and its impact on 1590 patients with Covid-19 in China: a nationwide analysis, Eur. Respir. J 2020; 55(5):2000547.

COVID-19 Tanılı Yoğun Bakım Hastalarında Prognozu Öngörmede Platelet ve D-Dimer Düzeylerinin Etkinliği

Year 2022, , 493 - 498, 27.12.2022
https://doi.org/10.35440/hutfd.1185729

Abstract

Amaç: Corona Virüs Hastalığı (COVID-19) koagülopatisinin patofizyolojisi ve klinik belirtilerinin altında yatan mekanizma belirsizliğini koruyor. Bununla birlikte, birkaç çalışma, özellikle COVID-19 ile ilişkili pnömoni ve akut solunum sıkıntısı sendromu (ARDS) olan hastalarda anormal pıhtılaşma parametreleri bildirmiştir. COVID-19 koagülopatisinin altında yatan mekanizma bilinmemekle birlikte, bunun bir yaygın damar içi pıhtılaşma (DIC) şekli olduğu öne sürülmüştür. Bu çalışmada, COVID-19 tanılı yoğun bakım hastalarında prognozu öngörmede platelet ve D-dimer düzeylerinin etkinliğini belirlemeyi amaçladık.
Yöntem: Demografik, klinik, laboratuvar verileri ve radyolojik bulgular, standart bir veri toplama formu kullanılarak hastane elektronik hasta kayıtlarından elde edildi. Platelet sayıları ve D-dimer verileri kaydedildi. Hastaların hastanede kalış süreleri, mekanik ventilatörde kalış süreleri ve yoğun bakımda kalış süreleri retrospektif olarak incelendi.
Bulgular: Çalışmaya COVID-19 tanılı 102 yoğun bakım hastası dahil edildi. Tüm hastalarda Polimeraz Zincir Reaksiyonu(PCR) onayı ve göğüs bilgisayarlı tomografiside (BT) COVID-19 ile uyumlu anormallikler vardı. Göğüs BT ile kanıtlanmış bilateral pnömoni, hastaların %91,2'sinde bildirilmiştir. Ölen hastaların platelet sayısı medyan 247x109 L (min-maks 192 - 354), D dimer seviyesi medyan 7.03 (min-maks 3.36-17.7) mg L-1idi. Yaşayan hastalar platelet sayısı medyan 310 x109 L (min-maks 234 – 350), D-dimer değerleri medyan 1,59 idi (min-maks 0,82 -2). Yaşayan ve ölen hastaların platelet sayıları karşılaştırıldığında istatistiksel olarak anlamlı bir fark yoktu (p=0.193). Ancak ölen hastaların D-dimer düzeyleri istatistiksel olarak daha yüksekti (p= 0.001).
Sonuç: Yüksek veya azalmayan D-dimer seviyeleri, COVID-19 pnömonisi olan hastalarda kötü prognozu gösterebilirken trombosit sayılarının öngörücü bir değeri yoktur.

References

  • 1- Bastug A, Bodur H, Erdogan S, et.al. Clinical and laboratory features of COVID- 19: Predictors of severe prognosis. Int Immunopharmacol 2020;88:e106950.
  • 2- Lu R, Zhao X, Li J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 2020;395 (10224):565–74.
  • 3- Sohrabi C, Alsafi Z, O'Neill N, et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int. J. Surg 2020; 76:71–6.
  • 4- Sun X, Wang T, Cai D, et al. Cytokine storm intervention in the early stages of COVID-19 pneumonia. Cytokine Growth Factor Rev 2020; 53:38–42.
  • 5- Ranucci M, Ballotta A, Di Dedda U, et al. The procoagulant pattern of patients with COVID-19 acute respiratory distress syndrome. J Thromb Haemost 2020;18 (7): 1747–51.
  • 6- Whiteman SC, Bianco A, Knight RA, Spiteri MA. Human rhinovirus selectively modulates membranous and soluble forms of its intercellular adhesion molecule-1 (ICAM-1) receptor to promote epithelial cell infectivity. J Biol Chem 2003 4; 278(14): 11954–61.
  • 7- Svartengren M, Falk R, Philipson K. Long-term clearance from small airways decreases with age. Eur Respir J 2005; 26(4):609–15.
  • 8- Cao W, Li T. COVID-19: towards understanding of pathogenesis. Cell Res 2020; 30(5):367–9.
  • 9- Wang D, Yin Y, Hu C, et al. Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan, China. Crit Care 2020; 24 (1):188.
  • 10- Du Y, Tu L, Zhu P, et al. Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study. Am J Respir Crit Care Med 2020; 201(11):1372–9.
  • 11- Wang Y, You XY, Wang YJ, et al. Estimating the basic reproduction number of COVID-19 in Wuhan, China. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41(4):476–9.
  • 12- Roy J, Jain R, Golamari R, Vunnam R, Sahu N. COVID-19 in the geriatric population. Int J Geriatr Psychiatry 2020; 35(12):1437–41.
  • 13- Boccia M, Aronne L, Celia B et al. COVID-19 and coagulative axis: Review of emerging aspects in a novel disease. Monaldi. Arch. Chest. Dis 2020; 90(2).
  • 14- Al-Samkari H, Karp Leaf RS, Dzik WH, et al. COVID-19 and coagulation: Bleeding and thrombotic manifestations of SARS-CoV2 Infection. Blood 2020; 136(4):489–500.
  • 15- Connors JM, Levy JH. COVID-19 and its implications for thrombosis and anticoagulation. Blood 2020;135 (23):2033–40.
  • 16- Kowalewski M, Fina D, Słomka A et al. COVID-19 and ECMO: The interplay between coagulation and inflammation—a narrative review. Crit. Care 2020;24 (1):205.
  • 17- 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.
  • 18- Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost 2020; 18:844–7.
  • 19- Martín Rojas RM, Pérez Rus G, Delgado Pinos VE, et al. COVID-19 coagulopathy: an-in depth analysis of the coagulation system. Eur J Haematol 2020;105 (6):741–50.
  • 20- Mikami T, Miyashita H, Yamada T, et al. Risk factors for mortality in patients with COVID-19 in New York City. J Gen Intern Med 2021;36 (1):17–26.
  • 21- Cummings MJ, Baldwin MR, Abrams D, et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet 2020;395 (10239):1763–70.
  • 22- Zhou S, Zhu T, Wang Y, Xia L. Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. Eur Radiol 2020:1–9.
  • 23-Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020;382 (18):1708–20.
  • 24- Snijders D, Schoorl M, Schoorl M, Bartels PC, Van Der Werf TS, Boersma WG. D-dimer levels in assessing severity and clinical outcome in patients with community-acquired pneumonia. A secondary analysis of a randomised clinical trial. Eur J Intern Med 2012;23(5):436–41.
  • 25-Chen N, Zhou M, Dong X, 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.
  • 26- Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223):497–506.
  • 27- Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11):1061–9.
  • 28- Wu C, Chen X, Cai Y, 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; 80(7):934–43.
  • 29- Han H, Yang L, Liu R, et al. Prominent changes in blood coagulation of patients with SARS-CoV-2 infection. Clin Chem Lab Med 2020; 58(7):1116–20.
  • 30- Lippi G, Favaloro EJ. D-dimer is associated with severity of coronavirus disease 2019: a pooled analysis. Thromb Haemost 2020;120 (5):876–8.
  • 31- Lillicrap D. Disseminated intravascular coagulation in patients with 2019-nCoV pneumonia. J Thromb Haemost 2020; 4:786–7.
  • 32- Guan W-J, Liang W-H, Y. Zhao, Liang H-R, et al. Comorbidity and its impact on 1590 patients with Covid-19 in China: a nationwide analysis, Eur. Respir. J 2020; 55(5):2000547.
There are 32 citations in total.

Details

Primary Language English
Subjects Clinical Sciences
Journal Section Research Article
Authors

Nuray Altay 0000-0002-7111-7893

Mahmut Alp Karahan 0000-0002-7210-9481

Ahmet Atlas 0000-0001-5999-0510

Publication Date December 27, 2022
Submission Date October 7, 2022
Acceptance Date November 8, 2022
Published in Issue Year 2022

Cite

Vancouver Altay N, Karahan MA, Atlas A. The Effectiveness of Platelet and D-Dimer Levels in Predicting Prognosis in Intensive Care Patients Diagnosed With COVID-19. Harran Üniversitesi Tıp Fakültesi Dergisi. 2022;19(3):493-8.

Harran Üniversitesi Tıp Fakültesi Dergisi  / Journal of Harran University Medical Faculty