Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients

IntroductionHuman coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks li...

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Published inCurēus (Palo Alto, CA) Vol. 15; no. 9; p. e45276
Main Authors Kumar, Yogesh, Kumari, Amita, Kumar, Tribhuwan, Jha, Kamlesh, Zabihullah, Md
Format Journal Article
LanguageEnglish
Published Palo Alto Cureus Inc 14.09.2023
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Abstract IntroductionHuman coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment.MethodologyThis retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2.Results Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations.ConclusionIn conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.
AbstractList IntroductionHuman coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment.MethodologyThis retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2.Results Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations.ConclusionIn conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.
Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2. Results  Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations. Conclusion In conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.
Author Zabihullah, Md
Kumari, Amita
Kumar, Tribhuwan
Jha, Kamlesh
Kumar, Yogesh
AuthorAffiliation 2 Physiology, All India Institute of Medical Sciences, Deoghar, Deoghar, IND
1 Physiology, All India Institute of Medical Sciences, Patna, Patna, IND
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Cites_doi 10.1245/s10434-011-1814-0
10.1002/ajh.25829
10.1007/s00281-017-0629-x
10.1038/s41598-017-11398-4
10.1016/S0140-6736(20)30183-5
10.3389/fimmu.2020.552909
10.1111/jth.14768
10.1016/S0140-6736(20)30628-0
10.4103/aja202278
10.1016/S2352-3026(20)30217-9
10.1080/09537104.2020.1768523
10.1136/bmjopen-2021-056464
10.1186/s13104-016-2335-5
10.1093/cid/ciaa248
10.4103/jfmpc.jfmpc_545_22
10.1002/ajh.25774
10.1097/01.inf.0000188166.17324.60
10.3389/fpubh.2020.00152
10.1186/s13613-020-00689-1
10.1016/j.cca.2020.03.022
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References ref13
Lippi G (ref17) 2020; 506
Channappanavar R (ref10) 2017; 39
Tiwari L (ref9) 2022; 12
Forget P (ref14) 2017; 10
Kumar T (ref19) 2022; 11
Jin JM (ref20) 2020; 8
ref2
Shang Y (ref11) 2020; 10
Hao X (ref15) 2017; 7
Kahn JS (ref1) 2005; 24
Mehta P (ref5) 2020; 395
Tang N (ref6) 2020; 18
Qin C (ref7) 2020; 71
Liao D (ref21) 2020; 7
Yang AP (ref22) 2020; 84
Terpos E (ref4) 2020; 95
Huang C (ref12) 2020; 395
Azab B (ref16) 2012; 19
Amgalan A (ref18) 2020; 31
Fan BE (ref23) 2020; 95
Abdelrahman Z (ref3) 2020; 11
Kumar T (ref8) 2023; 25
References_xml – ident: ref13
– volume: 19
  year: 2012
  ident: ref16
  article-title: Usefulness of the neutrophil-to-lymphocyte ratio in predicting short- and long-term mortality in breast cancer patients
  publication-title: Ann Surg Oncol
  doi: 10.1245/s10434-011-1814-0
  contributor:
    fullname: Azab B
– volume: 95
  year: 2020
  ident: ref4
  article-title: Hematological findings and complications of COVID-19
  publication-title: Am J Hematol
  doi: 10.1002/ajh.25829
  contributor:
    fullname: Terpos E
– volume: 39
  year: 2017
  ident: ref10
  article-title: Pathogenic human coronavirus infections: causes and consequences of cytokine storm and immunopathology
  publication-title: Semin Immunopathol
  doi: 10.1007/s00281-017-0629-x
  contributor:
    fullname: Channappanavar R
– ident: ref2
– volume: 7
  year: 2017
  ident: ref15
  article-title: The relationship between hematological indices and autoimmune rheumatic diseases (ARDs), a meta-analysis
  publication-title: Sci Rep
  doi: 10.1038/s41598-017-11398-4
  contributor:
    fullname: Hao X
– volume: 395
  year: 2020
  ident: ref12
  article-title: Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
  publication-title: Lancet
  doi: 10.1016/S0140-6736(20)30183-5
  contributor:
    fullname: Huang C
– volume: 11
  year: 2020
  ident: ref3
  article-title: Comparative review of SARS-CoV-2, SARS-CoV, MERS-CoV, and Influenza A respiratory viruses
  publication-title: Front Immunol
  doi: 10.3389/fimmu.2020.552909
  contributor:
    fullname: Abdelrahman Z
– volume: 18
  year: 2020
  ident: ref6
  article-title: Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia
  publication-title: J Thromb Haemost
  doi: 10.1111/jth.14768
  contributor:
    fullname: Tang N
– volume: 395
  year: 2020
  ident: ref5
  article-title: COVID-19: consider cytokine storm syndromes and immunosuppression
  publication-title: Lancet
  doi: 10.1016/S0140-6736(20)30628-0
  contributor:
    fullname: Mehta P
– volume: 25
  year: 2023
  ident: ref8
  article-title: Effects of the COVID-19 pandemic on semen quality in male partners of infertile couples: a hospital-based observational study
  publication-title: Asian J Androl
  doi: 10.4103/aja202278
  contributor:
    fullname: Kumar T
– volume: 7
  year: 2020
  ident: ref21
  article-title: Haematological characteristics and risk factors in the classification and prognosis evaluation of COVID-19: a retrospective cohort study
  publication-title: Lancet Haematol
  doi: 10.1016/S2352-3026(20)30217-9
  contributor:
    fullname: Liao D
– volume: 31
  year: 2020
  ident: ref18
  article-title: Hemostatic laboratory derangements in COVID-19 with a focus on platelet count
  publication-title: Platelets
  doi: 10.1080/09537104.2020.1768523
  contributor:
    fullname: Amgalan A
– volume: 12
  year: 2022
  ident: ref9
  article-title: Clinicodemographic profile and predictors of poor outcome in hospitalised COVID-19 patients: a single-centre, retrospective cohort study from India
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2021-056464
  contributor:
    fullname: Tiwari L
– volume: 10
  year: 2017
  ident: ref14
  article-title: What is the normal value of the neutrophil-to-lymphocyte ratio?
  publication-title: BMC Res Notes
  doi: 10.1186/s13104-016-2335-5
  contributor:
    fullname: Forget P
– volume: 71
  year: 2020
  ident: ref7
  article-title: Dysregulation of immune response in patients with coronavirus 2019 (COVID-19) in Wuhan, China
  publication-title: Clin Infect Dis
  doi: 10.1093/cid/ciaa248
  contributor:
    fullname: Qin C
– volume: 11
  year: 2022
  ident: ref19
  article-title: Role of cystatin C and calprotectin as potential early prognostic biomarkers in COVID-19 patients admitted to a dedicated COVID care facility
  publication-title: J Family Med Prim Care
  doi: 10.4103/jfmpc.jfmpc_545_22
  contributor:
    fullname: Kumar T
– volume: 95
  year: 2020
  ident: ref23
  article-title: Hematologic parameters in patients with COVID-19 infection
  publication-title: Am J Hematol
  doi: 10.1002/ajh.25774
  contributor:
    fullname: Fan BE
– volume: 24
  year: 2005
  ident: ref1
  article-title: History and recent advances in coronavirus discovery
  publication-title: Pediatr Infect Dis J
  doi: 10.1097/01.inf.0000188166.17324.60
  contributor:
    fullname: Kahn JS
– volume: 8
  year: 2020
  ident: ref20
  article-title: Gender differences in patients with COVID-19: focus on severity and mortality
  publication-title: Front Public Health
  doi: 10.3389/fpubh.2020.00152
  contributor:
    fullname: Jin JM
– volume: 10
  year: 2020
  ident: ref11
  article-title: Management of critically ill patients with COVID-19 in ICU: statement from front-line intensive care experts in Wuhan, China
  publication-title: Ann Intensive Care
  doi: 10.1186/s13613-020-00689-1
  contributor:
    fullname: Shang Y
– volume: 506
  year: 2020
  ident: ref17
  article-title: Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: a meta-analysis
  publication-title: Clin Chim Acta
  doi: 10.1016/j.cca.2020.03.022
  contributor:
    fullname: Lippi G
– volume: 84
  year: 2020
  ident: ref22
  article-title: The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients
  publication-title: Int Immunopharmacol
  contributor:
    fullname: Yang AP
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Snippet IntroductionHuman coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta...
Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta...
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StartPage e45276
SubjectTerms Allergy/Immunology
Blood platelets
Blood pressure
Clinical outcomes
COVID-19
Cytokines
Epidemics
Hematology
Immunology
Infections
Infectious Disease
Leukocytes
Lymphocytes
Middle East respiratory syndrome
Mortality
Neutrophils
Oxygen saturation
Pandemics
Patients
Public Health
Respiratory diseases
Respiratory distress syndrome
Severe acute respiratory syndrome coronavirus 2
Survival analysis
Vital signs
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Title Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
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