The role of C-reactive protein as a prognostic marker in COVID-19

Abstract Background C-reactive protein (CRP) is a non-specific acute phase reactant elevated in infection or inflammation. Higher levels indicate more severe infection and have been used as an indicator of COVID-19 disease severity. However, the evidence for CRP as a prognostic marker is yet to be determined. The aim of this study is to examine the CRP response in patients hospitalized with COVID-19 and to determine the utility of CRP on admission for predicting inpatient mortality. Methods Data were collected between 27 February and 10 June 2020, incorporating two cohorts: the COPE (COVID-19 in Older People) study of 1564 adult patients with a diagnosis of COVID-19 admitted to 11 hospital sites (test cohort) and a later validation cohort of 271 patients. Admission CRP was investigated, and finite mixture models were fit to assess the likely underlying distribution. Further, different prognostic thresholds of CRP were analysed in a time-to-mortality Cox regression to determine a cut-off. Bootstrapping was used to compare model performance [Harrell’s C statistic and Akaike information criterion (AIC)]. Results The test and validation cohort distribution of CRP was not affected by age, and mixture models indicated a bimodal distribution. A threshold cut-off of CRP ≥40 mg/L performed well to predict mortality (and performed similarly to treating CRP as a linear variable). Conclusions The distributional characteristics of CRP indicated an optimal cut-off of ≥40 mg/L was associated with mortality. This threshold may assist clinicians in using CRP as an early trigger for enhanced observation, treatment decisions and advanced care planning.

[1]  J. Hewitt,et al.  Study protocol for the COPE study: COVID-19 in Older PEople: the influence of frailty and multimorbidity on survival. A multicentre, European observational study , 2020, BMJ Open.

[2]  J. Preller,et al.  Clinical features and inpatient trajectories of older inpatients with COVID-19: a retrospective observational study. , 2020 .

[3]  M. Kivimäki,et al.  Overweight, obesity, and risk of hospitalization for COVID-19: A community-based cohort study of adults in the United Kingdom , 2020, Proceedings of the National Academy of Sciences.

[4]  Mahdad Noursadeghi,et al.  Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study , 2020, European Respiratory Journal.

[5]  D. MacFadden,et al.  Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis , 2020, Clinical Microbiology and Infection.

[6]  Yusuke Nakamura,et al.  SARS-CoV-2 genomic variations associated with mortality rate of COVID-19 , 2020, Journal of Human Genetics.

[7]  E. Kandil,et al.  Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients , 2020, medRxiv.

[8]  J. Hewitt,et al.  The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study , 2020, The Lancet Public Health.

[9]  Nurshad Ali Elevated level of C‐reactive protein may be an early marker to predict risk for severity of COVID‐19 , 2020, Journal of medical virology.

[10]  P. Horby,et al.  Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study , 2020, BMJ.

[11]  Wei Li,et al.  The value of clinical parameters in predicting the severity of COVID‐19 , 2020, Journal of medical virology.

[12]  Xin-ran Ji,et al.  Validation of Predictors of Disease Severity and Outcomes in COVID-19 Patients: A Descriptive and Retrospective Study , 2020, Med.

[13]  B. Lipworth,et al.  Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19 , 2020, Journal of Allergy and Clinical Immunology.

[14]  Wei Chen,et al.  Plasma CRP level is positively associated with the severity of COVID-19 , 2020, Annals of Clinical Microbiology and Antimicrobials.

[15]  Z. Wang,et al.  Eosinopenia and elevated C-reactive protein facilitate triage of COVID-19 patients in fever clinic: A retrospective case-control study , 2020, EClinicalMedicine.

[16]  Fang Liu,et al.  Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19 , 2020, Journal of Clinical Virology.

[17]  Dong Liu,et al.  Tocilizumab treatment in COVID‐19: A single center experience , 2020, Journal of medical virology.

[18]  Ting Yu,et al.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study , 2020, The Lancet.

[19]  S. Pati,et al.  Physiological markers and multimorbidity , 2018, Journal of comorbidity.

[20]  A. Badawi,et al.  C-reactive protein as a biomarker of severe H1N1 influenza , 2018, Inflammation Research.

[21]  A. Markanday Acute Phase Reactants in Infections: Evidence-Based Review and a Guide for Clinicians , 2015, Open forum infectious diseases.

[22]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, The Lancet.

[23]  Matthias Egger,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies , 2007, PLoS medicine.

[24]  W. Sauerbrei,et al.  Confidence intervals for the effect of a prognostic factor after selection of an ‘optimal’ cutpoint , 2004, Statistics in medicine.

[25]  Mark B Pepys,et al.  C-reactive protein: a critical update. , 2003, The Journal of clinical investigation.

[26]  Kuo-Chien Tsao,et al.  Development of ELISA on microplate for serum C-reactive protein and establishment of age-dependent normal reference range. , 2002, Clinica chimica acta; international journal of clinical chemistry.

[27]  F. Harrell,et al.  Evaluating the yield of medical tests. , 1982, JAMA.

[28]  H. Akaike A new look at the statistical model identification , 1974 .

[29]  S. Suner,et al.  C-reactive protein as predictor of bacterial infection among patients with an influenza-like illness. , 2013, The American journal of emergency medicine.