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The inflammatory biomarkers profile of hospitalized patients with COVID-19 and its association with patient’s outcome: A single centered study

  • Ibrahim Y. Hachim,

    Roles Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliations Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates

  • Mahmood Y. Hachim,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliation College of Medicine, Mohammed bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates

  • Haifa Hannawi,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliations Mohammed bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates, Ministry of Health and Prevention (MOHAP), Dubai, UAE

  • Kashif Bin Naeem,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliation Ministry of Health and Prevention (MOHAP), Dubai, UAE

  • Abdulla Salah,

    Roles Data curation, Writing – review & editing

    Affiliation Gulf Medical University, Ajman, United Arab Emirates

  • Suad Hannawi

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    suad1@ausdoctors.net

    Affiliation Ministry of Health and Prevention (MOHAP), Dubai, UAE

Abstract

Several reports highlighted the central role of inflammation in the pathogenesis of corona virus disease-19 (COVID-19) disease. Also, the hyper-inflammatory response that is triggered by severe acute respiratory syndrom-Covid-2 (SARS-CoV-2) infection was believed to play an essential role in disease severity and adverse clinical course. For that reason, the classical inflammatory markers were proposed as a possible indicator for COVID-19 severity. However, an extensive analysis of the predictive value of inflammatory biomarkers in large patients’ cohorts is still limited and critically needed. In this study we investigated the predictive value of the classical inflammatory biomarkers in a patient cohort consists of 541 COVID-19 patients admitted to Al Kuwait Hospital, Dubai, UAE. A detailed analysis of the association between the essential inflammatory markers and clinical characteristics as well as clinical outcome of the patients were made. In addition, the correlation between those markers and a wide range of laboratory biomarkers and incidence of acute organs injury were investigated. Our results showed a significant elevation of many inflammatory markers including white cell count (WBC) count, neutrophils count, C-reactive protein (CRP), D-Dimer, ferritin, procalcitonin (PCT), and lactate dehydrogenase (LDH) levels in patients with more severe illness. Also, our results highlighted that higher levels of those markers can predict worse patient outcome including the need of ventilation, intensive care unit (ICU) admission, multiple organs dysfunction as well as death. In addition, Our results showed that the presence of lymphopenia and lower absolute lymphocyte count (ALC) at the time of admission were associated with severe to critical COVID-19 illness (P<0.0001), presence of acute respiratory distress syndrome (ARDS) (P<0.0001) and the need for ventilation and ICU admission., Moreover, our results showed a strong association between lower ALC count and multiple organs dysfunction and patient’s death (P<0.0001). In conclusion, our results highlighted the possible use of classical inflammatory biomarkers at time of admission as a potential predictive marker for more severe clinical course in COVID-19 patients that might need more aggressive therapeutic approach including the need of ventilators and ICU admission. The presence of such predictive markers might improve patient’s stratification and help in the direction of the available resources to patients in need, which in turn help in improving our response to the disease pandemic.

Introduction

While approximately 80% of corona virus disease-19 (COVID-19) patients usually suffer from mild/moderate symptoms that needs minimal medical intervention, around 20% of COVID-19 patient progress to more severe form of the disease that require hospitalization with the need for ventilation and intensive care unit (ICU) admission [13]. For that reason, enormous efforts were made to improve our understanding of COVID-19 pathogenesis as well as risk factors involved in adverse clinical outcome of the disease in some patients. Indeed, this might lead to the discovery of predictive markers that can identify patients with severe/critical disease who need more aggressive medical interference [411]. Indeed, this step is essential for the early management of such patients to improve their outcome and to facilitate the optimal use of the available medical infrastructures and resources [12].

Many reports highlighted that inflammation in addition to the direct viral damage are essential mechanisms that might contribute to COVID-19 severity [13, 14]. Due to the critical role of inflammation in the pathogenesis and progression of COVID-19 disease, as well as the increment of proinflammatory cytokines in the serum of COVID-19 patients, many attempts were made to investigate the role of inflammatory markers in predicting COVID-19 disease’s severity as well as patient outcome [1517]. Indeed, higher levels of inflammatory markers including C-reactive protein (CRP), neutrophil-to-lymphocyte ratio as well as various inflammatory cytokines and chemokines were found to be linked to more severe clinical course in COVID-19 patients [1720].

Many of those reports focused only on the patient’s clinical characteristics and investigated only selected biomarkers [9]. The aim of our study is to analyze the association between inflammatory markers and features of disease progression and outcome in COVID-19 patients. This includes the severity of the disease, ICU admission, mortality as well as laboratory indicators. We achieve our aim through investigated those markers in a large patient’s cohort consisting of 541 COVID-19 patients. We also investigated the association between those markers as well as a wide range of biomarkers and evidence of organ injuries.

Material and method

Patients cohort and COVID19 severity indicators

A 541 patients diagnosed with COVID-19 infection, who were admitted to Al Kuwait Hospital, Dubai, United Arab Emirates (UAE) were included in our study. The cases were confirmed to be COVID-19 using the polymerase chain reaction (PCR) from nasal swab sample. The Sacace Real Time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) test was used in our laboratory.

Our study was approved by the Ministry of Health and Prevention (MOHAP) Research Ethics Committee (MOHAP/DXB-REC/MMM/NO.44/2020). All the clinical, laboratory and demographic, clinical and laboratory characteristics of patients were retrieved from the electronic file system. The COVID-19 disease severity was classified according to the following criteria: 1—mild to moderate COVID-19 disease, if there was no or only evidence of mild pneumonia based on chest radiography or chest computed tomography (CT) findings; 2—severe COVID-19 disease, if there was dyspnea, respiratory rate ≥ 30/minute, blood oxygen saturation ≤ 93%, PaO2/FiO2 ratio < 300, and/or lung infiltrates >50% within 24–48 hours; and 3—critical COVID-19 infection, if there was respiratory failure, septic shock, and/or multiple organ dysfunction/failure. Estimated glomerular filtration rate (eGFR) was calculated according to the modification of diet in renal disease (MDRD) formula; 186 × (SCr mg/dl)-1.154 x (age)-0203 × 0.742 [if Female] x 1.212 [if Black], to calculate the eGFR for all participants. The laboratory profile includes hematological profile that involves hemoglobin (Hb) (normal reference range;: female: 13.5–17.5 g/dl, male: 12.0–15.5 g/dl,) white cell count (WCC), normal reference range: 4,000–11,000x10(3)/mcl), neutrophil count (normal reference range: 1.5–4 x10(3)/mcl), absolute lymphocyte count (normal reference range: 1,000 and 4,800 x10(3)/mcl) (lymphopenia was defined if lymphocyte count was < 1 x103/mcL), platelet count (normal reference range: 150,000–400,000 x10(3)/mcl). In addition, our results include classical inflammatory markers like CRP (normal reference range: 0.0–5.0 mg/liter), ferritin (normal reference range: males: 26–388 ng/mL, and female: 8–252 ng/mL), PCT (normal reference range < 0.1 ng/mL). In addition, we also investigated the levels of lactate dehydrogenase (LDH) (normal reference range: Male: 85–227 U/liter, and Female: 81–234 U/liter), which is considered as an indicator of tissue damage and recently found to be a risk factor for ARDS in CoVID-19 patients [21]. Our profile also includes liver function test that involves alanine transaminase (ALT), aspartate aminotransferase (AST), albumin, bilirubin, and alkaline phosphatase level. Renal function tests involving blood urea, creatinine and electrolytes profile including sodium (Na) and potassium (K) levels as well as coagulation profile, involving international normalized ratio (INR) and D-dimer.

The presence of organ failure or injury was considered according to a criteria previously described [8]: Acute cardiac injury was defined as the presence of at least one documented elevated high-sensitivity troponin-I. Acute kidney injury was defined as patient having a raise in the serum creatinine of ≥26.5 μmol/liter within 48 h.; or increase in serum creatinine ≥1.5 times than the baseline that occurred within the preceding 7 days; or if there were reduction in the urine volume <0.5 ml/kg/hr. for 6 consecutive hours. Acute liver injury was defined as patient having high ALT and/or high AST by more than 5 times the upper limit of normal range. In addition to the definition of ARDS which was made using Berlin definition [22].

Statistical analysis

Patient characteristics and laboratory profile were summarized and tabulated using the standard descriptive statistics. All our variables were continuous variables. For that reason, data were tabulated and presented as mean ± SD. SPSS 21.0 (BM Corporation, Armonk, NY) software was used for the statistical analysis. Pearson correlation was used to assess the correlation between inflammatory markers and different laboratory indicators. A p-value of <0.05 was used as a cut-off value to differentiate between significant or non-significant differences.

Results

The demographic, clinical as well as the laboratory profile of our patient’s cohort that consist of 541 patients is demonstrated in Table 1.

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Table 1. The demographic and clinical as well as the laboratory indicators of 541 symptomatic COVID-1 patients’ cohort.

https://doi.org/10.1371/journal.pone.0260537.t001

Elevated inflammatory markers are associated with worse clinical course in patients with COVID‐19 infection

As shown in Table 2, we investigated the association between inflammatory markers and COVID‐19 clinical severity. Our results showed a significant association between inflammatory markers and the clinical outcome. WBC count was significantly elevated in the critical COVID-19 patients (10.0±4.73 103 cells/μL) compared to 8.92±11.50 103 cells/μL in the severe and only 7.30±3.41 103 cells/μL in patients who suffer from mild form of the COVID-19 infection. Similarly, neutrophils count, CRP, D-Dimer, ferritin PCT, and LDH levels were all significantly higher in patients suffering from the severe and critical forms compared to the mild to moderate form of the disease. Patients that needs ICU admission also showed significantly higher levels of WBC count, neutrophils count, CRP, D-dimer, ferritin, procalcitonin and LDH. Moreover, those patients showed significantly lower lymphocyte count (<0.0001). Similar picture was also observed with patients that need ventilation compared to patients with no need of ventilation and patients that suffers from ARDS compared to patients with no evidence of ARDS. Indeed, deceased patients also showed significant higher levels of WBC count, neutrophils count, CRP, D-dimer, ferritin, procalcitonin, LDH as well as lower lymphocyte count compared to patients that stay alive.

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Table 2. The association between inflammatory markers and clinical behaviour of COVID19 patient’s.

https://doi.org/10.1371/journal.pone.0260537.t002

Low lymphocyte count at admission time is associated with more aggressive clinical COVID-19 disease

Interestingly and among the different inflammatory markers, the absolute lymphocyte count (ALC) showed an opposite trend of association with COVID-19 disease severity. As can be seen in Table 2, patients with lower absolute lymphocyte count were significantly associated with severe to critical COVID-19 diseases compared to the mild to moderate form that showed higher lymphocyte count (P<0.0001). Moreover, patients who presented with features of ARDS showed a significantly lower level of ALC (0.96±0.50× 103 cells/μL) compared to 1.52±0.75× 103 cells/μL in patients with no features of ARDS (P<0.0001). This was reflected on patients who needed ventilation. Indeed, patients who needed ventilation showed a significantly lower levels of ALC (0.92±0.46× 103 cells/μL) compared to patients who did not need ventilation (1.46±0.74× 103 cells/μL) (P<0.0001). Similarly, patients require ICU admission showed significantly lower ALC count (0.99±0.48× 103 cells/μL) compared to 1.50±0.76 103 cells/μL (P<0.0001). The association between ALC count and patient outcome was evident in the strong association between lower ALC count and patient’s death. Patients who died from complications of COVID-19 infection showed a significantly lower ALC count (0.89±0.42× 103 cells/μL) compared to patients who survived (1.45±0.74× 103 cells/μL) (P<0.0001).

Elevated inflammatory markers correlate with multiple organ dysfunction including liver, renal and cardiac injuries.

As can be seen in Table 3, our results showed a significant association between a group of inflammatory markers and different organs dysfunctions including liver, renal cardiac injuries. Elevated white blood cells (WBC) count; P = 0.0241, neutrophils count (P<0.0001); CRP (P<0.0001); D-Dimer (P<0.0001); serum ferritin (P = 0.0077); PCT (P = 0.0005) and LDH levels were significantly associated with acute cardiac injury. Similarly, elevated WBC count; (P = 0.0020), neutrophils count (P<0.0001); CRP (P<0.0001); D-Dimer (P<0.0001); serum ferritin (P<0.0001); PCT (P<0.0001) and LDH levels (P = 0.0002) showed a significant association with acute renal injury. In contrast, only elevated neutrophils count (P = 0.0007); CRP (P<0.0001); serum ferritin (P<0.0001) and LDH levels (P<0.0001) showed a significant association with acute liver injury.

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Table 3. The association between inflammatory markers and organs injury among 541 symptomatic COVID-19 patients.

https://doi.org/10.1371/journal.pone.0260537.t003

Low absolute lymphocyte count (ALC) at admission time is associated with multiple organ dysfunction.

Our results also highlighted a significant association between lymphopenia and multiple organ injury. Indeed, patients with evidence of acute cardiac injury showed a significantly lower ALC (1.08±0.628× 103 cells/μL) compared to (1.38±0.72× 103 cells/μL) (P<0.0001) (Table 3). Similarly, patients suffer from acute renal injury also showed significantly lower ALC (1.456±0.75× 103 cells/μL) compared with patients with no evidence of acute renal injury (0.99±0.52× 103 cells/μL) (P<0.0001). In addition, patients with acute liver injury showed lower ALC (1.42±0.75× 103 cells/μL) compared to (1.107±0.56× 103 cells/μL) in patients with no liver injury.

Discussion

Here we investigated the association between key inflammatory markers and a wide range of clinical characteristics and laboratory variables as well as patient outcome, in a large COVID-19 patients’ cohort. Our results showed elevated CRP, D-Dimer, serum ferritin as well as LDH to have the highest level of significance (P<0.0001) with more severe clinical course including patients with severe and critical forms as well as admission to the ICU unit. Similarly, elevated neutrophils count, in addition to CRP, D-Dimer, serum ferritin as well as LDH were strongly associated with poor outcome presenting as death compared to patients who were alive. This finding goes with recent reports that showed high levels of CRP, PCT, D-dimer, LDH and ferritin are associated with more severe clinical course and are able to predict poor prognosis [2327].

Many reports observed a significant increment in CRP levels in COVID-19 patients compared to normal individuals, furthermore, higher CRP levels were found in the majority of COVID‐19 patients presented with severe illness compared to mild or non‐severe patients [2, 10, 24, 2830].

The fact that CRP, is an acute-phase protein, usually used as a marker of systemic inflammation [20, 31, 32], clearly highlighted the possible use of this marker as an early and simple marker to predict the risk of disease progression in COVID‐19 patients [32]. The elevation in CRP levels was closely linked to inflammatory cytokines overproduction as well as tissue destruction seen in patients with severe COVID‐19 illness. For that reason, measuring of pro-inflammatory cytokines including IL-6 in patients serum was also proposed as a potential biomarker not only for risk assessment, but also to monitor disease progression as well as prediction of response to treatment [33].

The D-Dimer, which is an important product of fibrin fibrinolytic degradation that is usually elevated in hypercoagulable state, usually used to evaluate deep vein thrombosis or pulmonary embolism as well as risk of abnormal blood clotting [34] as well as the presence of disseminated intravascular coagulation [35, 36]. Previous reports clearly linked between elevated levels of D-dimer and disease progression in COVID-19 patients. Indeed, patients that need ICU admission showed a significantly higher D-dimer levels. Similarly, elevated levels of D-dimer were also observed in patient with severe illness and strongly correlated with higher mortality [2, 37]. Our lab also observed that among several clinco-pathological characteristics and biochemical markers, D-dimer was among three predictors that can identify patients with higher risk to develop critical COVID-19 illness [6].

Procalcitonin (PCT), which is the precursor of calcitonin and synthesised by thyroid parafollicular C cells, was found to be synthesized during bacterial infection in several extrathyroid tissues. This process is mediated by tumour necrosis factor-alpha (TNFα) and interleukin 6 activity [38].Many reports also highlighted a strong association between elevated PCT and severe COVID-19 [3941].

While the LDH, which is widely distributed intracellular enzyme that play an essential role in carbohydrate metabolism through catalyzing interconversion of lactate and pyruvate with concomitant interconversion of NAD+/NADH coenzyme system was not considered as a classical marker of inflammation, severe infections were found to provoke cytokine-mediated tissue damage as well as LDH release [42]. This increment in LDH level was considered as an indicator of tissue and cell destruction as well as damage usually induced by SARS-CoV-2 [43]. For that reason, elevated LDH levels also was considered as a predictor of progression to sever illness and higher mortality rates [21, 23, 4345].

Another important finding in our study is the strong association between ALC and more severe disease and worse outcome including the need for ventilation, ICU admission and higher mortality rate. Lymphopenia was previously reported in a group of viral infections including SARS and Middle East Respiratory Syndrome (MERS) [4648]. Also, several reports showed a significant association between lower ALC and severe COVID 19 illness [4951]. In addition, other report showed that COVID-19 survivors were found to have significantly higher lymphocyte count compared to non-survivors [18, 50]. Moreover, our finding that lower ALC to be associated with multiple organ injury including acute liver and renal injuries go with other reports that showed patients who developed acute kidney injury were more likely to have lymphocytopenia compared with patients without acute kidney injury [52]. While the mechanism that might explain the association between lymphocytopenia and poor patients’ outcome in COVID-19 patients is not fully understood, previous reports in other similar beta-CoV infections including (SARS)-CoV and (MERS)- CoV highlighted the possible role of lymphocyte sequestration in specific target organs which might lead to rapid reduction in both CD4+ and CD8+ T lymphocytes [53]. Other proposed mechanisms for this reduction include the fact that the angiotensin coverting enzyme-2 (ACE2) receptor, which is essential for COVID-19 pathogenesis is also expressed in lymphocytes, which might render them a direct target of SARS-CoV-2 infection [54]. Moreover, the increment of pro-inflammatory cytokines including interlukin-6 (IL-6) that is usually observed in COVID-19 might lead to further lymphocyte reduction [55].

Finally, our observation that inflammatory markers are significantly associated with organs dysfunctions including liver, renal cardiac injuries raise the question, if these dysfunctions are a result of COVID-19 tissue destruction or it is related with the comorbidity usually associated with the severe disease. Further studies are need to investigate this point.

In conclusion, our results highlighted the significant association between different classical inflammatory markers and clinical as well as laboratory profile of patients with COVID-19 infection. In addition, our results highlighted the possible use of these markers at the time of admission as a potential predictive markers for more severe clinical course in COVID-19 patients which might require more aggressive therapeutic approach including the need of ventilators and ICU admission.

References

  1. 1. Cummings M.J., 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): p. 1763–1770. pmid:32442528
  2. 2. Guan W.J., et al., Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med, 2020. 382(18): p. 1708–1720. pmid:32109013
  3. 3. Kutsuna S., Coronavirus disease 2019 (COVID-19): research progress and clinical practice. Glob Health Med, 2020. 2(2): p. 78–88. pmid:33330782
  4. 4. Al Heialy S., et al., Combination of obesity and co-morbidities leads to unfavorable outcomes in COVID-19 patients. Saudi J Biol Sci, 2021. 28(2): p. 1445–1450. pmid:33293887
  5. 5. Hachim I.Y., et al., Kidney Dysfunction among COVID-19 Patients in the United Arab Emirates. Oman Med J, 2021. 36(1): p. e221. pmid:33585042
  6. 6. Hachim M.Y., et al., D-dimer, Troponin, and Urea Level at Presentation With COVID-19 can Predict ICU Admission: A Single Centered Study. Front Med (Lausanne), 2020. 7: p. 585003. pmid:33363185
  7. 7. Naeem K.B., et al., Acute cardiac injury is associated with adverse outcomes, including mortality in COVID-19 patients. A single-center experience. Saudi Med J, 2020. 41(11): p. 1204–1210. pmid:33130840
  8. 8. Hannawi S., et al., Clinical and Laboratory Profile of Hospitalized Symptomatic COVID-19 Patients: Case Series Study From the First COVID-19 Center in the UAE. Frontiers in Cellular and Infection Microbiology, 2021. 11(78). pmid:33718282
  9. 9. Bi X., et al., Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count. Platelets, 2020. 31(5): p. 674–679. pmid:32367765
  10. 10. Chen N., et al., Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet, 2020. 395(10223): p. 507–513. pmid:32007143
  11. 11. Zhang J.J.Y., et al., Risk Factors for Severe Disease and Efficacy of Treatment in Patients Infected With COVID-19: A Systematic Review, Meta-Analysis, and Meta-Regression Analysis. Clin Infect Dis, 2020. 71(16): p. 2199–2206. pmid:32407459
  12. 12. Sugiyama M., et al., Serum CCL17 level becomes a predictive marker to distinguish between mild/moderate and severe/critical disease in patients with COVID-19. Gene, 2021. 766: p. 145145. pmid:32941953
  13. 13. Merad M. and Martin J.C., Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages. Nat Rev Immunol, 2020. 20(6): p. 355–362. pmid:32376901
  14. 14. Vabret N., et al., Advancing scientific knowledge in times of pandemics. Nat Rev Immunol, 2020. 20(6): p. 338. pmid:32327718
  15. 15. Zeng F., et al., Association of inflammatory markers with the severity of COVID-19: A meta-analysis. Int J Infect Dis, 2020. 96: p. 467–474. pmid:32425643
  16. 16. Ji P., et al., Association of elevated inflammatory markers and severe COVID-19: A meta-analysis. Medicine (Baltimore), 2020. 99(47): p. e23315. pmid:33217868
  17. 17. Mehta P., et al., COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet, 2020. 395(10229): p. 1033–1034. pmid:32192578
  18. 18. Ruan Q., et al., Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med, 2020. 46(5): p. 846–848. pmid:32125452
  19. 19. Wu C., 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): p. 934–943. pmid:32167524
  20. 20. Herold T., et al., Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19. J Allergy Clin Immunol, 2020. 146(1): p. 128–136 e4. pmid:32425269
  21. 21. Poggiali E., et al., Lactate dehydrogenase and C-reactive protein as predictors of respiratory failure in CoVID-19 patients. Clin Chim Acta, 2020. 509: p. 135–138. pmid:32531257
  22. 22. Force T.R., et al., Acute respiratory distress syndrome. Patient position and motion strategies. Respir Care Clin N Am, 1998. 4(4): p. 665–77, viii. pmid:9881398
  23. 23. Henry B.M., et al., Lactate dehydrogenase levels predict coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis. Am J Emerg Med, 2020. 38(9): p. 1722–1726. pmid:32738466
  24. 24. Huang I., et al., C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis. Ther Adv Respir Dis, 2020. 14: p. 1753466620937175. pmid:32615866
  25. 25. Du R.H., et al., Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study. Eur Respir J, 2020. 55(5).
  26. 26. Tang N., et al., Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost, 2020. 18(4): p. 844–847. pmid:32073213
  27. 27. Zhu Y., et al., Chinese Society of Interventional Radiology Expert Consensus on the prevention and control of COVID-19 in interventional radiology procedures (first edition). Quant Imaging Med Surg, 2020. 10(5): p. 1045–1057. pmid:32489928
  28. 28. Luo X., et al., Prognostic Value of C-Reactive Protein in Patients With Coronavirus 2019. Clin Infect Dis, 2020. 71(16): p. 2174–2179. pmid:32445579
  29. 29. Chen T., et al., Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ, 2020. 368: p. m1091. pmid:32217556
  30. 30. Gao Y., et al., Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19. J Med Virol, 2020. 92(7): p. 791–796. pmid:32181911
  31. 31. Smilowitz N.R., et al., C-reactive protein and clinical outcomes in patients with COVID-19. Eur Heart J, 2021. 42(23): p. 2270–2279. pmid:33448289
  32. 32. Ali N., Elevated level of C-reactive protein may be an early marker to predict risk for severity of COVID-19. J Med Virol, 2020. 92(11): p. 2409–2411. pmid:32516845
  33. 33. Liu B.M., et al., Clinical significance of measuring serum cytokine levels as inflammatory biomarkers in adult and pediatric COVID-19 cases: A review. Cytokine, 2021. 142: p. 155478. pmid:33667962
  34. 34. He X., et al., The poor prognosis and influencing factors of high D-dimer levels for COVID-19 patients. Sci Rep, 2021. 11(1): p. 1830. pmid:33469072
  35. 35. Adam S.S., Key N.S., and Greenberg C.S., D-dimer antigen: current concepts and future prospects. Blood, 2009. 113(13): p. 2878–87. pmid:19008457
  36. 36. Halaby R., et al., D-Dimer elevation and adverse outcomes. J Thromb Thrombolysis, 2015. 39(1): p. 55–9. pmid:25006010
  37. 37. Zhou F., 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): p. 1054–1062. pmid:32171076
  38. 38. Lippi G. and Cervellin G., Procalcitonin for diagnosing and monitoring bacterial infections: for or against? Clin Chem Lab Med, 2018. 56(8): p. 1193–1195. pmid:29702485
  39. 39. Zhang J.J., et al., Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. Allergy, 2020. 75(7): p. 1730–1741. pmid:32077115
  40. 40. Wang D., et al., Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA, 2020. 323(11): p. 1061–1069. pmid:32031570
  41. 41. Lippi G. and Plebani M., Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis. Clin Chim Acta, 2020. 505: p. 190–191. pmid:32145275
  42. 42. Martinez-Outschoorn U.E., et al., Ketones and lactate increase cancer cell "stemness," driving recurrence, metastasis and poor clinical outcome in breast cancer: achieving personalized medicine via Metabolo-Genomics. Cell Cycle, 2011. 10(8): p. 1271–86. pmid:21512313
  43. 43. Bartziokas K. and Kostikas K., Lactate dehydrogenase, COVID-19 and mortality. Med Clin (Engl Ed), 2021. 156(1): p. 37. pmid:33521309
  44. 44. Li C., et al., Elevated Lactate Dehydrogenase (LDH) level as an independent risk factor for the severity and mortality of COVID-19. Aging (Albany NY), 2020. 12(15): p. 15670–15681. pmid:32805722
  45. 45. Zhu F. and Li X., Lactate-dehydrogenase associated with mortality in hospitalized patients with COVID-19 in Mexico. Ann Hepatol, 2021. 24: p. 100348. pmid:33864949
  46. 46. He Z., et al., Effects of severe acute respiratory syndrome (SARS) coronavirus infection on peripheral blood lymphocytes and their subsets. Int J Infect Dis, 2005. 9(6): p. 323–30. pmid:16095942
  47. 47. Liu C.Y., et al., Clinical characteristics, management and prognostic factors in patients with probable severe acute respiratory syndrome (SARS) in a SARS center in Taiwan. J Chin Med Assoc, 2005. 68(3): p. 110–7. pmid:15813244
  48. 48. Yang Y.M., et al., Impact of Comorbidity on Fatality Rate of Patients with Middle East Respiratory Syndrome. Sci Rep, 2017. 7(1): p. 11307. pmid:28900101
  49. 49. Duffy C.R., et al., Lymphopenia and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection Among Hospitalized Obstetric Patients. Obstet Gynecol, 2020. 136(2): p. 229–231. pmid:32433451
  50. 50. Huang I. and Pranata R., Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. J Intensive Care, 2020. 8: p. 36. pmid:32483488
  51. 51. Yang X., 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): p. 475–481. pmid:32105632
  52. 52. Wagner J., et al., Absolute lymphocyte count is a prognostic marker in Covid-19: A retrospective cohort review. Int J Lab Hematol, 2020. 42(6): p. 761–765. pmid:32779838
  53. 53. Li T., et al., Significant changes of peripheral T lymphocyte subsets in patients with severe acute respiratory syndrome. J Infect Dis, 2004. 189(4): p. 648–51. pmid:14767818
  54. 54. Xu H., et al., High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa. Int J Oral Sci, 2020. 12(1): p. 8. pmid:32094336
  55. 55. Lin L., et al., Hypothesis for potential pathogenesis of SARS-CoV-2 infection-a review of immune changes in patients with viral pneumonia. Emerg Microbes Infect, 2020. 9(1): p. 727–732. pmid:32196410