Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 18:9:916453.
doi: 10.3389/fmed.2022.916453. eCollection 2022.

Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients

Affiliations

Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients

Hassan Ghobadi et al. Front Med (Lausanne). .

Abstract

Background: Systemic inflammation indices, including neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), derived neutrophil/lymphocyte ratio (dNLR), neutrophil/lymphocyte*platelet ratio (NLPR), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIR-I), and systemic inflammation index (SII) are well-expressed inflammatory indices that have been used to predict the severity and mortality of various inflammatory diseases. This study aimed to investigate the role of systemic inflammatory markers in predicting mortality in non-elderly and elderly COVID-19 patients.

Methods: In a retrospective study, laboratory parameters were examined for 1,792 COVID-19 patients (elderly = 710 and non-elderly = 1,082). The ability of inflammatory markers to distinguish the severity of COVID-19 was determined by receiver operating characteristic (ROC) analysis, and survival probability was determined by the mean of Kaplan-Meier curves, with the endpoint being death.

Results: In the non-survivor non-elderly and elderly patients, the parameters PLR, MLR, dNLR, NLPR, AISI, SIR-I, and SII were significantly higher than in the surviving patients. WBC count (HR = 4.668, 95% CI = 1.624 to 13.413, P < 0.01), neutrophil count (HR = 6.395, 95% CI = 2.070 to 19.760, P < 0.01), dNLR (HR = 0.390, 95% CI = 0.182 to 0.835, P < 0.05), and SII (HR = 10.725, 95% CI = 1.076 to 106.826, P < 0.05) were significantly associated with survival. On the other hand, in elderly patients, it was found that WBC count (HR = 4.076, 95% CI = 2.176 to 7.637, P < 0.001) and neutrophil count (HR = 2.412, 95% CI = 1.252 to 4.647, P < 0.01) were significantly associated with survival.

Conclusion: WBC count and neutrophil count in non-elderly and elderly patients, were reliable predictors of mortality.

Keywords: COVID-19; aging; coronavirus; inflammation; systemic inflammation index.

PubMed Disclaimer

Conflict of interest statement

The 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.

Figures

Figure 1
Figure 1
Receiver operating characteristics curve of (A) Non-elderly patients and (B) Elderly patients for NLR, PLR, MLR, dNLR, NLPR, AISI, SIR-I, and SII. AISI, aggregate index of systemic inflammation; dNLR, derived neutrophil/lymphocyte ratio; MLR, monocyte/lymphocyte ratio; NLPR, neutrophil/lymphocyte*platelet ratio; NLR, neutrophil/lymphocyte ratio; PLR, platelet/lymphocyte ratio; SII, systemic inflammation index; SIR-I, systemic inflammation response index.
Figure 2
Figure 2
Kaplan–Meier survival curves during hospitalization of non-elderly COVID-19 patients with different cut-off values of the systemic inflammation indexes investigated. (A) NLR; (B) PLR; (C) MLR; (D) dNLR; (E) NLPR; (F) AISI; (G) SIR-I; (H) SII. AISI, aggregate index of systemic inflammation; dNLR, derived neutrophil/lymphocyte ratio; MLR, monocyte/lymphocyte ratio; NLPR, neutrophil/lymphocyte*platelet ratio; NLR, neutrophil/lymphocyte ratio; PLR, platelet/lymphocyte ratio; SII, systemic inflammation index; SIR-I, systemic inflammation response index; WBC, white blood cell.
Figure 3
Figure 3
Kaplan–Meier survival curves during hospitalization of elderly COVID-19 patients with different cut-off values of the systemic inflammation indexes investigated. (A) NLR; (B) PLR; (C) MLR; (D) dNLR; (E) NLPR; (F) AISI; (G) SIR-I; (H) SII. AISI, aggregate index of systemic inflammation; dNLR, derived neutrophil/lymphocyte ratio; MLR, monocyte/lymphocyte ratio; NLPR, neutrophil/lymphocyte*platelet ratio; NLR, neutrophil/lymphocyte ratio; PLR, platelet/lymphocyte ratio; SII, systemic inflammation index; SIR-I, systemic inflammation response index.

References

    1. Mori H, Obinata H, Murakami W, Tatsuya K, Sasaki H, Miyake Y, et al. . Comparison of COVID-19 disease between young and elderly patients: hidden viral shedding of COVID-19. J Infect Chemother. (2021) 27:70–5. 10.1016/j.jiac.2020.09.003 - DOI - PMC - PubMed
    1. Plotnikov G, Waizman E, Tzur I, Yusupov A, Shapira Y, Gorelik O. The prognostic role of functional dependency in older inpatients with COVID-19. BMC Geriatr. (2021) 21:1–7. 10.1186/s12877-021-02158-1 - DOI - PMC - PubMed
    1. Cummings MJ, Baldwin MR, Abrams D, Jacobson SD, Meyer BJ, Balough EM, et al. . Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet. (2020) 395:1763–70. 10.1016/S0140-6736(20)31189-2 - DOI - PMC - PubMed
    1. Yahav D. COVID-19 in special populations. Clin Microbiol Infect. (2022) 28:771-2. 10.1016/j.cmi.2022.02.038 - DOI - PMC - PubMed
    1. Umeh C, Watanabe K, Tuscher L, Ranchithan S, Gupta R. Comparison of clinical characteristics and outcomes of COVID-19 between young and older patients: a multicenter, retrospective cohort study. Cureus. (2022) 14:e21785-e. 10.7759/cureus.21785 - DOI - PMC - PubMed

LinkOut - more resources