Skip to content
2000
image of Diagnostic Biochemical Changes Identified in a Cohort of Patients with Coronavirus-19 (COVID-19) Disease

Abstract

Background

SARS-CoV-2 infection was associated with inflammatory, metabolic, haematological, and immunological changes, which contributed to the increase in morbidity and mortality.

Objective

To illustrate changes in some biomarkers (ESR, ferritin, CRP, D. dimer, ALT, AST, creatinine, and urea) during COVID-19 and their predictive value in the diagnosis of SARS-CoV-2 infection, especially in rural and urban areas in which sophisticated tests were not available.

Materials and Methods

The study includes 154 COVID-19 patients with positive RT-PCR. Sixty age and sex-matched individuals were included as controls. The study was conducted during the period from 23rd July 2021 to the end of December 2021. The subjects with a history of liver diseases, pregnant women, an age of less than 18, and chronic renal failure were excluded. The informed consent was taken from each individual before their enrolment in the study. The study was performed in compliance with the World Medical Association Declaration of Helsinki. Venous blood samples were collected from both groups and tested for determination of creatinine, urea, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), D dimer, ferritin, and C-reactive protein (CRP) using a Mindray BS 240 chemical auto-analyzer.

Results

The mean serum values were significantly higher (P= 0.01 – 0.001) in COVID-19 patients as compared to matched controls for creatinine, blood urea, ALT, AST, ESR, LDH, D- dimer, ferritin, and CRP. In addition, the mean serum levels of ALT, AST, ESR, LDH, D-dimer, ferritin, and CRP were higher than the values of normal ranges. Although, creatinine and urea mean serum values were significantly higher in COVID-19 patients, their mean values were within the normal range values. ESR was highly significantly (P < 0.001) correlated with ALT, AST, LDH, urea, ferritin, and CRP. While LDH was highly significantly correlated with creatinine, urea, ESR, ferritin, and CRP. Also, D. dimer was significantly highly correlated with ferritin, and CRP. Serum ferritin was highly significantly correlated with creatinine, urea, ESR, LDH, D. dimer, and CRP. While CRP was highly significantly correlated with creatinine, urea, ESR, LDH, D. dimer, and ferritin.

Conclusion

ESR, CRP, Ferritin, D. dimer, LDH, AST, ALT, urea, and Creatinine levels in venous blood were significantly elevated in COVID-19 patients compared with controls. Sex- influenced serum levels of C-reactive protein, creatinine, and urea in this study cohort. Serum levels of tested biomarkers may be useful in the diagnosis of COVID-19 in primary healthcare centres, especially in rural areas in developing countries.

Loading

Article metrics loading...

/content/journals/covid/10.2174/0126667975338846241228101450
2025-01-28
2025-04-14
Loading full text...

Full text loading...

References

  1. Hu B. Guo H. Zhou P. Shi Z.L. Characteristics of SARS-CoV-2 and COVID-19. Nat. Rev. Microbiol. 2021 19 3 141 154 10.1038/s41579‑020‑00459‑7 33024307
    [Google Scholar]
  2. Chakraborty I. Maity P. COVID-19 outbreak: Migration, effects on society, global environment and prevention. Sci. Total Environ. 2020 728 138882 10.1016/j.scitotenv.2020.138882 32335410
    [Google Scholar]
  3. Abd El-Aziz TM Stockand JD Recent progress and challenges in drug development against COVID-19 coronavirus (SARS-CoV-2) - an update on the status J. Mol. Epid. Evol. Gene. Infec. Dis. 2020 83 104327
    [Google Scholar]
  4. Sharma O. Sultan A.A. Ding H. Triggle C.R. A review of the progress and challenges of developing a vaccine for COVID-19. Front. Immunol. 2020 11 585354 10.3389/fimmu.2020.585354 33163000
    [Google Scholar]
  5. Alobaidi A.H. Mustafa H.I. Salih A.M. Alsamarai A.M. Anti-SARS-CoV-2 IgG and IgM levels in Iraqi general population. Antiinflamm. Antiallergy Agents Med. Chem. 2023 22 2 113 129 10.2174/0118715230269593230928095153 37842890
    [Google Scholar]
  6. Tjendra Y. Al Mana A.F. Espejo A.P. Akgun Y. Millan N.C. Gomez-Fernandez C. Cray C. Predicting disease severity and outcome in COVID-19 Patients: A review of multiple biomarkers. Arch. Pathol. Lab. Med. 2020 144 12 1465 1474 10.5858/arpa.2020‑0471‑SA 32818235
    [Google Scholar]
  7. Henry B.M. de Oliveira M.H.S. Benoit S. Plebani M. Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): A meta-analysis. Clin. Chem. Labora. Medi. (CCLM) 2020 58 7 1021 1028 10.1515/cclm‑2020‑0369 32286245
    [Google Scholar]
  8. Abdulla K.A. Salman O.A. Mahmood A.A. Study of some hematological and biochemical parameters in patients with SARS-CoV-2 in Kirkuk City, Iraq. Syst. Rev. Pharm. 2020 11 11 515 522
    [Google Scholar]
  9. Mohammed E.A. Postpartum maternal and neonatal outcomes of SARS-CoV-2 infection during pregnancy. Al-Rafidain J. Med. Sci. 2023 5 67 72 10.54133/ajms.v5i.159
    [Google Scholar]
  10. Khalil M.A. Alobaidi A.H. Al-Samarrai A.H. Evaluation of vitamin D in COVID-19 patients. AIP Conf. Proc. 2022 5 0122108 10.1063/5.0122108
    [Google Scholar]
  11. Forrest J.I. Rayner C.R. Park J.J.H. Mills E.J. Early treatment of COVID-19 disease: A missed opportunity. Infect. Dis. Ther. 2020 9 4 715 720 10.1007/s40121‑020‑00349‑8 33051827
    [Google Scholar]
  12. Rangaiah A. Shankar S.M. Basawarajappa S.G. Shah P.A. Chandrashekar A. Munegowda A. Padukone S. Detection of SARS-CoV-2 in clinical samples: Target-specific analysis of qualitative reverse transcription–polymerase chain reaction(RT-PCR) diagnostic Kits. IJID Reg. 2021 1 163 169 10.1016/j.ijregi.2021.11.004 35721770
    [Google Scholar]
  13. Kalita M.J. Dutta K. Hazarika G. Dutta R. Kalita S. Das P.P. Sarma M.P. Banu S. Idris M.G. Talukdar A.J. Dutta S. Sharma A. Medhi S. In-house reverse transcriptase polymerase chain reaction for detection of SARS-CoV-2 with increased sensitivity. Sci. Rep. 2021 11 1 17878 10.1038/s41598‑021‑97502‑1 34504255
    [Google Scholar]
  14. Kameswari S. Brundha M.P. Ezhilarasan D. Advantages and disadvantages of RT-PCR in COVID 19. Eur. J. Mol. Clin. Med. 2020 7 1 1174 1181
    [Google Scholar]
  15. Escrivá BF Mochón M González RM García CS Pla AT Ricart T The effectiveness of rapid antigen test-based for SARS-CoV-2 detection in nursing homes in Valencia, Spain. J. Clin. Virol. 2021 143 104941
    [Google Scholar]
  16. Letelier P. Encina N. Morales P. Riffo A. Silva H. Riquelme I. Guzmán N. Role of biochemical markers in the monitoring of COVID-19 patients. J. Med. Biochem. 2021 40 2 115 128 10.5937/jomb0‑29341 33776561
    [Google Scholar]
  17. Samprathi M Jayashree M Biomarkers in COVID-19: An up-to-date review. Front Pediatr. 2021 8 30 607647
    [Google Scholar]
  18. Asghar M.S. Haider Kazmi S.J. Ahmed Khan N. Akram M. Hassan M. Rasheed U. Ahmed Khan S. Poor prognostic biochemical markers predicting fatalities caused by COVID-19: A retrospective observational study from a developing country. Cureus 2020 12 8 e9575 10.7759/cureus.9575 32913691
    [Google Scholar]
  19. Gemcioglu E. Davutoglu M. Catalbas R. Karabuga B. Kaptan E. Aypak A. Kalem A.K. Özdemir M. Yeşilova N.Y. Kalkan E.A. Civak M. Kücüksahin O. Erden A. Ates I. Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission. Future Virol. 2021 16 5 353 367 10.2217/fvl‑2020‑0319
    [Google Scholar]
  20. Khalaf A.A. Dawood Q.M. Al-Hashim Z.T. Al Hijaj B.A.A. Jaber R.Z. Study of hematological parameters in patients with coronavirus disease 2019 in Basra. Iraqi J. Hematol. 2020 9 2 160 165 10.4103/ijh.ijh_49_20
    [Google Scholar]
  21. An X.S. Li X.Y. Shang F.T. Yang S.F. Zhao J.Y. Yang X.Z. Wang H.G. Clinical characteristics and blood test results in COVID-19 patients. Ann. Clin. Lab. Sci. 2020 50 3 299 307 32581016
    [Google Scholar]
  22. Fu S. Fu X. Song Y. Li M. Pan P. Tang T. Virologic and clinical characteristics for prognosis of severe COVID-19: A retrospective observational study in Wuhan, China. medRxiv 2020 1763 10.1101/2020.04.03.20051763
    [Google Scholar]
  23. Ghahramani S. Tabrizi R. Lankarani K.B. Kashani S.M.A. Rezaei S. Zeidi N. Akbari M. Heydari S.T. Akbari H. Nowrouzi-Sohrabi P. Ahmadizar F. Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: A systematic review and meta-analysis. Eur. J. Med. Res. 2020 25 1 30 10.1186/s40001‑020‑00432‑3 32746929
    [Google Scholar]
  24. Zeng F. Huang Y. Guo Y. Yin M. Chen X. Xiao L. Deng G. Association of inflammatory markers with the severity of COVID-19: A meta-analysis. Int. J. Infect. Dis. 2020 96 467 474 10.1016/j.ijid.2020.05.055 32425643
    [Google Scholar]
  25. Gong J. Dong H. Xia Q.S. Huang Z. Wang D. Zhao Y. Liu W. Tu S. Zhang M. Wang Q. Lu F. Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: A retrospective study. BMC Infect. Dis. 2020 20 1 963 10.1186/s12879‑020‑05681‑5 33349241
    [Google Scholar]
  26. Siordia J.A. Jr Epidemiology and clinical features of COVID-19: A review of current literature. J. Clin. Virol. 2020 127 104357 10.1016/j.jcv.2020.104357 32305884
    [Google Scholar]
  27. Ranjbar R. Mahmoodzadeh Hosseini H. Safarpoor Dehkordi F. Areview on biochemical and immunological biomarkers used for laboratory diagnosis of SARS-CoV-2 (covid-19). Open Microbiol. J. 2020 14 1 290 296 10.2174/1874434602014010290
    [Google Scholar]
  28. Statsenko Y. Al Zahmi F. Habuza T. Gorkom K.N.V. Zaki N. Prediction of COVID-19 severity using laboratory findings on admission: Informative values, thresholds, ML model performance. BMJ Open 2021 11 2 e044500 10.1136/bmjopen‑2020‑044500 33637550
    [Google Scholar]
  29. Kantri A Ziati J Khalis M Haoudar A El Aidaoui K Daoudi Y Hematological and biochemical abnormalities associated with severe forms of COVID-19: A retrospective single-center study from Morocco. PLoS One 2021 16 2 e0246295
    [Google Scholar]
  30. Lino K. Guimarães G.M.C. Alves L.S. Oliveira A.C. Faustino R. Fernandes C.S. Tupinambá G. Medeiros T. Silva A.A. Almeida J.R. Serum ferritin at admission in hospitalized COVID-19 patients as a predictor of mortality. Braz. J. Infect. Dis. 2021 25 2 101569 10.1016/j.bjid.2021.101569 33736948
    [Google Scholar]
  31. Bozkurt F.T. Tercan M. Patmano G. Bingol Tanrıverdi T. Demir H.A. Yurekli U.F. Can Ferritin Levels Predict the Severity of Illness in Patients With COVID-19? Cureus 2021 13 1 e12832 10.7759/cureus.12832 33633875
    [Google Scholar]
  32. Doghish AS Elkhatib WF Hassan EA Elkhateeb AF Mahmoud EE Ahmed MI Khalil MAF Clinical characteristics of Egyptian male patients with COVID-19 acute respiratory distress syndrome. PLoS One 2021 16 4 e0249346
    [Google Scholar]
  33. Ahsan F. Samreen S. Kukreti S. Association of inflammatory markers in COVID 19 patients. Int. J. Adv. Res. (Indore) 2021 9 2 244 249 10.21474/IJAR01/12440
    [Google Scholar]
  34. Hashem M.K. Khedr E.M. Daef E. Mohamed-Hussein A. Mostafa E.F. Hassany S.M. Galal H. Hassan S.A. Galal I. Amin M.T. Hassan H.M. Prognostic biomarkers in COVID-19 infection: Value of anemia, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and D-dimer. Egypt. J. Bronchol. 2021 15 1 29 10.1186/s43168‑021‑00075‑w
    [Google Scholar]
  35. Bairwa M. Kumar R. Beniwal K. Kalita D. Bahurupi Y. Hematological profile and biochemical markers of COVID-19 non-survivors: A retrospective analysis. Clin. Epidemiol. Glob. Health 2021 11 100770 10.1016/j.cegh.2021.100770 33997479
    [Google Scholar]
  36. Farid E. Sridharan K. Alsegai O.A.M. Khawaja S.A. Mansoor E.J. Teraifi N.A. Qahtani M.A. Salman J.A. Utility of inflammatory biomarkers in patients with COVID-19 infections: Bahrain experience. Biomarkers Med. 2021 15 8 541 549 10.2217/bmm‑2020‑0422 33988463
    [Google Scholar]
  37. Marimuthu A.K. Anandhan M. Sundararajan L. Chandrasekaran J. Ramakrishnan B. Utility of various inflammatory markers in predicting outcomes of hospitalized patients with COVID-19 pneumonia. Lung India 2021 38 5 448 453 10.4103/lungindia.lungindia_935_20 34472523
    [Google Scholar]
  38. Damiati L.A. Bahlas S. Aljohaney A. Bawazir Y. Mustafa M. Denetiu I. Pushparaj P.N. Implications of SARS-CoV-2 infection on the clinical, hematological, and inflammatory parameters in COVID-19 patients: A retrospective cross-sectional study. J. Infect. Publ. Heal. 2022 15 2 214 221 10.1016/j.jiph.2021.12.013 35007842
    [Google Scholar]
  39. Terpos E. Ntanasis-Stathopoulos I. Elalamy I. Kastritis E. Sergentanis T.N. Politou M. Psaltopoulou T. Gerotziafas G. Dimopoulos M.A. Hematological findings and complications of COVID‐19. Am. J. Hematol. 2020 95 7 834 847 10.1002/ajh.25829 32282949
    [Google Scholar]
  40. Liu J. Li S. Liu J. Liang B. Wang X. Wang H. Li W. Tong Q. Yi J. Zhao L. Xiong L. Guo C. Tian J. Luo J. Yao J. Pang R. Shen H. Peng C. Liu T. Zhang Q. Wu J. Xu L. Lu S. Wang B. Weng Z. Han C. Zhu H. Zhou R. Zhou H. Chen X. Ye P. Zhu B. Wang L. Zhou W. He S. He Y. Jie S. Wei P. Zhang J. Lu Y. Wang W. Zhang L. Li L. Zhou F. Wang J. Dittmer U. Lu M. Hu Y. Yang D. Zheng X. Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients. EBioMedicine 2020 55 102763 10.1016/j.ebiom.2020.102763 32361250
    [Google Scholar]
  41. Huang C Wang Y Li X Ren L Zhao J Hu Y Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020 395 10223 497 506
    [Google Scholar]
  42. Fan Z. Chen L. Li J. Cheng X. Yang J. Tian C. Zhang Y. Huang S. Liu Z. Cheng J. Clinical features of COVID-19-related liver functional abnormality. Clin. Gastroenterol. Hepatol. 2020 18 7 1561 1566 10.1016/j.cgh.2020.04.002 32283325
    [Google Scholar]
  43. Wang D Hu B Hu C Zhu F Liu X Zhang J Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China JAMA 2020 323 11 1061 1069
    [Google Scholar]
  44. Cheng Y. Luo R. Wang K. Zhang M. Wang Z. Dong L. Li J. Yao Y. Ge S. Xu G. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int. 2020 97 5 829 838 10.1016/j.kint.2020.03.005 32247631
    [Google Scholar]
  45. Li Z. Wu M. Yao J. Guo J. Liao X. Song S. Caution on kidney dysfunctions of COVID-19 patients. Cold Spring Harbor Laboratory 2020 10.2139/ssrn.3559601
    [Google Scholar]
  46. Ruan Q. Yang K. Wang W. Jiang L. Song J. 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 5 846 848 10.1007/s00134‑020‑05991‑x 32125452
    [Google Scholar]
  47. Chen N. Zhou M. Dong X. Qu J. Gong F. Han Y. Qiu Y. Wang J. Liu Y. Wei Y. Xia J. Yu T. Zhang X. Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet 2020 395 10223 507 513 10.1016/S0140‑6736(20)30211‑7 32007143
    [Google Scholar]
  48. Liu Y. Yang Y. Zhang C. Huang F. Wang F. Yuan J. Wang Z. Li J. Li J. Feng C. Zhang Z. Wang L. Peng L. Chen L. Qin Y. Zhao D. Tan S. Yin L. Xu J. Zhou C. Jiang C. Liu L. Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. Sci. China Life Sci. 2020 63 3 364 374 10.1007/s11427‑020‑1643‑8 32048163
    [Google Scholar]
  49. Zhao D. Yao F. Wang L. Zheng L. Gao Y. Ye J. Guo F. Zhao H. Gao R. A comparative study on the clinical features of COVID-19 pneumonia to other pneumonias. Clin. Infect. Dis. 2020 71 15 756 761 10.1093/cid/ciaa247 32161968
    [Google Scholar]
  50. Zhang B Zhou X Qiu Y Song Y Feng F Feng J Clinical characteristics of 82 cases of death from COVID-19 PLoS One 2020 15 7 e0235458
    [Google Scholar]
  51. Ferrari D. Motta A. Strollo M. Banfi G. Locatelli M. Routine blood tests as a potential diagnostic tool for COVID-19. Clin. Chem. Laborat. Medi. (CCLM) 2020 58 7 1095 1099 10.1515/cclm‑2020‑0398 32301746
    [Google Scholar]
  52. Mardani R. Ahmadi Vasmehjani A. Zali F. Gholami A. Mousavi Nasab S.D. Kaghazian H. Kaviani M. Ahmadi N. Laboratory parameters in detection of COVID-19 patients with positive RT-PCR; a diagnostic accuracy study. Arch. Acad. Emerg. Med. 2020 8 1 e43 32259132
    [Google Scholar]
  53. Liao D. Zhou F. Luo L. Xu M. Wang H. Xia J. Gao Y. Cai L. Wang Z. Yin P. Wang Y. Tang L. Deng J. Mei H. Hu Y. Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: A retrospective cohort study. Lancet Haematol. 2020 7 9 e671 e678 10.1016/S2352‑3026(20)30217‑9 32659214
    [Google Scholar]
  54. Zhang X. Tan Y. Ling Y. Lu G. Liu F. Yi Z. Jia X. Wu M. Shi B. Xu S. Chen J. Wang W. Chen B. Jiang L. Yu S. Lu J. Wang J. Xu M. Yuan Z. Zhang Q. Zhang X. Zhao G. Wang S. Chen S. Lu H. Viral and host factors related to the clinical outcome of COVID-19. Nature 2020 583 7816 437 440 10.1038/s41586‑020‑2355‑0 32434211
    [Google Scholar]
  55. Ji M. Yuan L. Shen W. Lv J. Li Y. Li M. Lu X. Hu L. Dong W. Characteristics of disease progress in patients with coronavirus disease 2019 in Wuhan, China. Epidemiol. Infect. 2020 148 e94 10.1017/S0950268820000977 32374248
    [Google Scholar]
  56. Chen G. Wu D. Guo W. Cao Y. Huang D. Wang H. Wang T. Zhang X. Chen H. Yu H. Zhang X. Zhang M. Wu S. Song J. Chen T. Han M. Li S. Luo X. Zhao J. Ning Q. Clinical and immunological features of severe and moderate coronavirus disease 2019. J. Clin. Invest. 2020 130 5 2620 2629 10.1172/JCI137244 32217835
    [Google Scholar]
  57. Zheng Y. Zhen H.G.Y. Xia Z. Wei Y. Zhiliang H. Study of the lymphocyte change between COVID-19 and non-COVID-19 pneumonia cases suggesting other factors besides uncontrolled inflammation contributed to multi-organ injury. medRxiv 2020.02.19.20024885
    [Google Scholar]
  58. Poggiali E. Zaino D. Immovilli P. Rovero L. Losi G. Dacrema A. Nuccetelli M. Vadacca G.B. Guidetti D. Vercelli A. Magnacavallo A. Bernardini S. Terracciano C. Lactate dehydrogenase and C-reactive protein as predictors of respiratory failure in CoVID-19 patients. Clin. Chim. Acta 2020 509 135 138 10.1016/j.cca.2020.06.012 32531257
    [Google Scholar]
  59. Chen W. Zheng K.I. Liu S. Yan Z. Xu C. Qiao Z. Plasma CRP level is positively associated with the severity of COVID-19. Ann. Clin. Microbiol. Antimicrob. 2020 19 1 18 10.1186/s12941‑020‑00362‑2 32414383
    [Google Scholar]
  60. Al Meani S.A. Abdulkareem A.H. Ibrahim M.O. Ahmed M.M. Mukhlif M.Y. Assessment of correlation of D-dimer and ferritin level in patients infected with COVID-19 in Anbar Governorate of Iraq. Syst. Rev. Pharm. 2020 11 9 1130 1133
    [Google Scholar]
  61. Wang Q. Zhao H. Liu L.G. Wang Y.B. Zhang T. Li M.H. Xu Y.L. Gao G.J. Xiong H.F. Fan Y. Cao Y. Ding R. Wang J.J. Cheng C. Xie W. Pattern of liver injury in adult patients with COVID-19: A retrospective analysis of 105 patients. Mil. Med. Res. 2020 7 1 28 10.1186/s40779‑020‑00256‑6 32507110
    [Google Scholar]
  62. Deng S.Q. Peng H.J. Characteristics of and Public Health Responses to the Coronavirus Disease 2019 Outbreak in China. J. Clin. Med. 2020 9 2 575 10.3390/jcm9020575 32093211
    [Google Scholar]
  63. Wu X. Liu L. Jiao J. Yang L. Zhu B. Li X. Characterisation of clinical, laboratory and imaging factors related to mild vs. severe covid-19 infection: A systematic review and meta-analysis. Ann. Med. 2020 52 7 334 344 10.1080/07853890.2020.1802061 32755287
    [Google Scholar]
  64. Tian W. Jiang W. Yao J. Nicholson C.J. Li R.H. Sigurslid H.H. Wooster L. Rotter J.I. Guo X. Malhotra R. Predictors of mortality in hospitalized COVID‐19 patients: A systematic review and meta‐analysis. J. Med. Virol. 2020 92 10 1875 1883 10.1002/jmv.26050 32441789
    [Google Scholar]
  65. Alnor A. Sandberg M.B. Gils C. Vinholt P.J. Laboratory tests and outcome for patients with coronavirus disease 2019: A systematic review and meta-analysis. J. Appl. Lab. Med. 2020 5 5 1038 1049 10.1093/jalm/jfaa098 32573713
    [Google Scholar]
  66. Toraih E.A. Elshazli R.M. Hussein M.H. Elgaml A. Amin M. El-Mowafy M. El-Mesery M. Ellythy A. Duchesne J. Killackey M.T. Ferdinand K.C. Kandil E. Fawzy M.S. Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and decision tree analysis. J. Med. Virol. 2020 92 11 2473 2488 10.1002/jmv.26166 32530509
    [Google Scholar]
  67. Berger J.S. Kunichoff D. Adhikari S. Ahuja T. Amoroso N. Aphinyanaphongs Y. Cao M. Goldenberg R. Hindenburg A. Horowitz J. Parnia S. Petrilli C. Reynolds H. Simon E. Slater J. Yaghi S. Yuriditsky E. Hochman J. Horwitz L.I. Prevalence and outcomes of D-dimer elevation in hospitalized patients with COVID-19. Arterioscler. Thromb. Vasc. Biol. 2020 40 10 2539 2547 10.1161/ATVBAHA.120.314872 32840379
    [Google Scholar]
  68. Kaftan A. Hussain M. Algenabi A. Naser F. Enaya M. Predictive value of C-reactive protein, lactate dehydrogenase, ferritin and D-dimer levels in diagnosing COVID-19 patients: A retrospective study. Acta Inform. Med. 2021 29 1 45 50 10.5455/aim.2021.29.45‑50 34012213
    [Google Scholar]
/content/journals/covid/10.2174/0126667975338846241228101450
Loading
/content/journals/covid/10.2174/0126667975338846241228101450
Loading

Data & Media loading...


  • Article Type:
    Research Article
Keywords: ALT ; AST ; ferritin ; D. dimer ; COVID-19 ; LDH ; CRP ; ESR ; blood urea and creatinine ; SARS-CoV-2
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test