Evolution of Modeled Cortisol Is Prognostic of Death in Hospitalized Patients With COVID-19 Syndrome

Kamyar M Hedayat, David Chalvet, Maël Yang, Shahrokh Golshan, Caroline Allix-Beguec, Serge Beneteaud, Thomas Schmit, Kamyar M Hedayat, David Chalvet, Maël Yang, Shahrokh Golshan, Caroline Allix-Beguec, Serge Beneteaud, Thomas Schmit

Abstract

Introduction: Patients hospitalized with SARS-CoV-2 have an elevated risk of mortality related to a severe inflammatory response. We hypothesized that biological modeling with a complete blood count (CBC) would be predictive of mortality.

Method: In 2020, 81 patients were randomly selected from La Rochelle Hospital, France for a simple blinded retrospective study. Demographic, vital signs, CBC and CRP were obtained on admission, at days 2-3 and 3-5. From a CBC, two biological modeling indexes were resulted: the neutrophil-to-lymphocyte ratio (NLR) and cortisol index adjusted (CA).

Results: By ANOVA, in survivors vs. non-survivors there was statistical different at p < 0.01 for age (66.2 vs. 80), CRP (92 vs. 179 mg/dL, normal < 10), cortisol index adjusted (323 vs. 698, normal 3-7) and genito-thyroid indexes (7.5 vs. 18.2, normal 1.5-2.5), and at p = 0.02 creatinine (1.03 vs. 1.48, normal 0.73-1.8 mg/dL). By mixed model analysis, CA and NLR improved in those who survived across all three time points, but worsened again after 3-5 days in non-survivors. CRP continued to improve over time in survivors and non-survivors. Positive vs. Negative predictive value were: CRP (91.1%, 30.4%), NLR (94.5%, 22.7%), CA (100%, 0%).

Discussion: Cortisol modeling and the neutrophil-to-lymphocyte ratio were more accurate in describing the course of non-survivors than CRP.

Conclusion: In patients admitted for SARS CoV-2 infection, biological modeling with a CBC predicted risk of death better than CRP. This approach is inexpensive and easily repeated.

Keywords: C-reactive protein; COVID-19; biological; cortisol index; critical care outcomes; models; neutrophil/lymphocyte ratio (NLR).

Conflict of interest statement

KMH is a shareholder in SBRG and Numa Health. DC, TS, and MY are shareholders in Numa Health. KMH serves as a paid advisor to Numa Health. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Hedayat, Chalvet, Yang, Golshan, Allix-Beguec, Beneteaud and Schmit.

Figures

FIGURE 1
FIGURE 1
Patient selection and longitudinal monitoring process.
FIGURE 2
FIGURE 2
Mixed model analysis of C-reactive protein (mg/dL), time of blood draw, and survival.
FIGURE 3
FIGURE 3
Mixed model analysis of genito-thyroid index (Neutrophil-to-Lymphocyte ratio, no units), time of blood draw, and survival.
FIGURE 4
FIGURE 4
Mixed model analysis of Cortisol index adjusted (no units), time of blood draw, and survival.

References

    1. Reese H, Iuliano AD, Patel NN, Garg S, Kim L, Silk BJ, et al. Estimated incidence of coronavirus disease 2019 (COVID-19) illness and hospitalization-United States, february-september 2020. Clin Infect Dis. (2021) 72:e1010–7. 10.1093/cid/ciaa1780
    1. Santé Publique de la France. COVID-19: Point Épidémiologique Hebdomadaire du 09 Avril 2020. Santé Publique de la France; (2020). Available online at: (accessed December 28, 2021).
    1. Kim L, Garg S, O’Halloran A, Whitaker M, Pham H, Anderson EJ, et al. Risk factors for intensive care unit admission and in-hospital mortality among hospitalized adults identified through the US coronavirus disease 2019 (COVID-19)-associated hospitalization surveillance network (COVID-NET). Clin Infect Dis. (2021) 72:e206–14. 10.1093/cid/ciaa1012
    1. Wendel Garcia PD, Fumeaux T, Guerci P, Heuberger DM, Montomoli J, Roche-Campo F, et al. Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine. (2020) 25:100449. 10.1016/j.eclinm.2020.100449
    1. Liu C, Liu X, Mao Z, Hu P, Li X, Hu J, et al. Interpretable machine learning model for early prediction of mortality in ICU patients with rhabdomyolysis. Med Sci Sports Exerc. (2021) 53:1826–34. 10.1249/MSS.0000000000002674
    1. Hedayat K, Schuff BM, Lapraz JC, Barsotti T, Golshan S, Hong S, et al. Genito-Thyroid index: a global systems approach to the neutrophil-to-lymphocyte ratio according to the theory of Endobigoeny applied to ambulatory patients with chronic heart failure. J Cardiol Clin Res. (2017) 5:1091–7.
    1. Li X, Liu C, Mao Z, Xiao M, Wang L, Qi S, et al. Predictive values of neutrophil-to-lymphocyte ratio on disease severity and mortality in COVID-19 patients: a systematic review and meta-analysis. Crit Care. (2020) 24:647. 10.1186/s13054-020-03374-8
    1. Ma A, Cheng J, Yang J, Dong M, Liao X, Kang Y. Neutrophil-to-lymphocyte ratio as a predictive biomarker for moderate-severe ARDS in severe COVID-19 patients. Crit Care. (2020) 24:288. 10.1186/s13054-020-03007-0
    1. Curbelo J, Luquero Bueno S, Galvan-Roman JM, Ortega-Gómez M, Rajas O, Fernández-Jiménez G, et al. Inflammation biomarkers in blood as mortality predictors in community-acquired pneumonia admitted patients: importance of comparison with neutrophil count percentage or neutrophil-lymphocyte ratio. PLoS One. (2017) 12:e0173947. 10.1371/journal.pone.0173947
    1. de Jager CP, Wever PC, Gemen EF, Kusters R, van Gageldonk-Lafeber AB, van der Poll T, et al. The neutrophil-lymphocyte count ratio in patients with community-acquired pneumonia. PLoS One. (2012) 7:e46561.
    1. Guven M, Gultekin H. Could serum total cortisol level at admission predict mortality due to coronavirus disease 2019 in the intensive care unit? A prospective study. Sao Paulo Med J. (2021) 139:398–404. 10.1590/1516-3180.2020.0722.R1.2302021
    1. Tan T, Khoo B, Mills EG, Phylactou M, Patel B, Eng PC, et al. Association between high serum total cortisol concentrations and mortality from COVID-19. Lancet Diabetes Endocrinol. (2020) 8:659–60. 10.1016/S2213-8587(20)30216-3
    1. Oakley RH, Cidlowski JA. The biology of the glucocorticoid receptor: new signaling mechanisms in health and disease. J Allergy Clin Immunol. (2013) 132:1033–44. 10.1016/j.jaci.2013.09.007
    1. Groeneweg FL, Karst H, de Kloet ER, Joels M. Rapid non-genomic effects of corticosteroids and their role in the central stress response. J Endocrinol. (2011) 209:153–67. 10.1530/JOE-10-0472
    1. Hedayat KM. The theory of endobiogeny: biological modeling using downstream physiologic output as inference of upstream global system regulation. J Compl Health Sci. (2020) 3:1–8. 10.21595/chs.2020.21072
    1. Hedayat K, Lapraz JC, Schuff BM, Barsotti T, Golshan S, Hong S, et al. A novel approach to modeling tissue-level activity of cortisol levels according to the theory of Endobiogeny, applied to chronic heart failure. J Compl Health Sci. (2018) 1:3–8.
    1. Braukyliene R, Hedayat KM, Zajanckauskiene L, Jurenas M, Unikas R, Aldujeli A, et al. Prognostic value of cortisol index of endobiogeny in acute myocardial infarction patients. Medecina. (2021) 57:12. 10.3390/medicina57060602
    1. Garrod O. The pharmacology of cortisone, cortisol (hydrocortisone) and their new analogues. Postgrad Med J. (1958) 34:300–4. 10.1136/pgmj.34.392.300
    1. Rinehart JJ, Balcerzak SP, Sagone AL, LoBuglio AF. Effects of corticosteroids on human monocyte function. J Clin Invest. (1974) 54:1337–43. 10.1172/jci107880
    1. Sabag N, Castrillón MA, Tchernitchin A. Cortisol-induced migration of eosinophil leukocytes to lymphoid organs. Experientia. (1978) 34:666–7. 10.1007/BF01937022
    1. Thorn GW, Forsham PH, Prunty G, Hills G. A test for adrenal cortical insufficiency; the response to pituitary andrenocorticotropic hormone. J Am Med Assoc. (1948) 137:1005–9. 10.1001/jama.1948.02890460001001
    1. Lapraz JC, Hedayat KM, Pauly P. Endobiogeny: a global approach to systems biology (part 2 of 2). Global Adv Health Med. (2013) 2:32–44. 10.7453/gahmj.2013.013
    1. de Jager CP, van Wijk PT, Mathoera RB, de Jongh-Leuvenink J, van der Poll T, Wever PC. Lymphocytopenia and neutrophil-lymphocyte count ratio predict bacteremia better than conventional infection markers in an emergency care unit. Crit Care. (2010) 14:R192. 10.1186/cc9309
    1. Juszczak GR, Stankiewicz AM. Glucocorticoids, genes and brain function. Prog Neuropsychopharmacol Biol Psychiatry. (2018) 82:136–68. 10.1016/j.pnpbp.2017.11.020
    1. Zeng ZY, Feng SD, Chen GP, Wu JN. Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study. BMC Infect Dis. (2021) 21:80. 10.1186/s12879-021-05796-3

Source: PubMed

3
구독하다