Comparison of systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized patients with malignancy, and their influence on mortality from COVID-19

Bilge, Müge; Akıllı, Işıl Kibar; Karaayvaz, Ekrem Bilal; Yeşilova, Aylia; Yaşar, Kadriye Kart

doi:10.1186/s13027-021-00400-4

Cited by 19 publications

(14 citation statements)

References 39 publications

(42 reference statements)

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“…Indicators of a systemic inflammatory response, such as derived neutrophil to lymphocyte ratio (dNLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), and systemic inflammatory response index (SIRI) have facilitated mortality prediction in COVID-19 patients ( 6 , 7 ). In addition, a high systemic immune-inflammation index (SII) and neutrophil to lymphocyte ratio (NLR) are also biomarkers that influence COVID-19-related mortality ( 8 – 10 ).…”

Section: Introductionmentioning

confidence: 99%

The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients

et al. 2022

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BackgroundSeveral systemic inflammatory biomarkers have been associated with poor overall survival (OS) and disease severity in patients with coronavirus disease 2019 (COVID-19). However, it remains unclear which markers are better for predicting prognosis, especially for COVID-19 Omicron BA.2 infected patients. The present study aimed to identify reliable predictors of prognosis of COVID-19 Omicron BA.2 from inflammatory indicators.MethodsA cohort of 2645 COVID-19 Omicron BA.2 infected patients were retrospectively analyzed during the Omicron BA.2 surge in Shanghai between April 12, 2022, and June 17, 2022. The patients were admitted to the Shanghai Fourth People’s Hospital, School of Medicine, Tongji University. Six systemic inflammatory indicators were included, and their cut-off points were calculated using maximally selected rank statistics. The analysis involved Kaplan-Meier curves, univariate and multivariate Cox proportional hazard models, and time-dependent receiver operating characteristic curves (time-ROC) for OS-associated inflammatory indicators.ResultsA total of 2347 COVID-19 Omicron BA.2 infected patients were included. All selected indicators proved to be independent predictors of OS in the multivariate analysis (all P < 0.01). A high derived neutrophil to lymphocyte ratio (dNLR) was associated with a higher mortality risk of COVID-19 [hazard ratio, 4.272; 95% confidence interval (CI), 2.417-7.552]. The analyses of time-AUC and C-index showed that the dNLR (C-index: 0.844, 0.824, and 0.718 for the 5th, 10th, and 15th day, respectively) had the best predictive power for OS in COVID-19 Omicron BA.2 infected patients. Among different sub-groups, the dNLR was the best predictor for OS regardless of age (0.811 for patients aged ≥70 years), gender (C-index, 0.880 for men and 0.793 for women) and disease severity (C-index, 0.932 for non-severe patients and 0.658 for severe patients). However, the platelet to lymphocyte ratio was superior to the other indicators in patients aged <70 years.ConclusionsThe prognostic ability of the dNLR was higher than the other evaluated inflammatory indicators for all COVID-19 Omicron BA.2 infected patients.

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Section: Introductionmentioning

confidence: 99%

The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients

et al. 2022

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“… NLR predicts mortality better than age, LDH, CRP, and lymphocyte levels, suggesting it may be the best predictive parameter (p<0.05). Bilge et al 2021 66 Cancers n=75 No cancers n=111 7.02 5.52 NS - - - - There are no significant differences in NLR value between the two compared groups in this study. Waris et al 2021 90 Mild n=52 Moderate n=24 Severe n=9 Critical n=16 Mild=2.7 Moderate=4.95 Severe=5.11 Critical=6.87 <0.001 - - - - NLR may be helpful for clinicians to identify potentially severe cases at early stages, initiate effective management in time, and conduct early triage which may reduce the overall mortality of COVID-19 patients.…”

Section: Introductionmentioning

confidence: 50%

“…The researchers emphasize the need for a further analysis of this parameter in the evaluation of patients’ condition ( Table 3 ). 66 , 67 , 73 , 86 …”

Section: Introductionmentioning

confidence: 99%

Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review

Kosidło¹,

Wolszczak-Biedrzycka²,

Matowicka-Karna³

et al. 2023

JIR

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Nowadays, society is increasingly struggling with infectious diseases that are characterized by severe course and even death. Recently, the whole world has faced the greatest epidemiological threat, which is COVID-19 caused by SARS CoV-2 virus. SARS CoV-2 infection is often accompanied by severe inflammation, which can lead to the development of different complications. Consequently, clinicians need easily interpreted and effective markers of inflammation that can predict the efficacy of the treatment and patient prognosis. Inflammation is associated with changes in many biochemical and hematological parameters, including leukocyte counts and their populations. In COVID-19, changes in leukocytes count populations such as neutrophils, lymphocytes or monocytes are observed. The numerous research confirm that indicators like neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR) and systemic inflammatory index (SII) may prove effective in assessment patient prognosis and choosing optimal therapy. Therefore, in this review, we would like to summarize the latest knowledge about the diagnostic utility of systemic inflammatory ratios – NLR, LMR, PLR and SII in patients with COVID-19. We focused on the papers evaluating the diagnostic utility of inflammatory ratios using ROC curve published in the recent 3 years. Identification of biomarkers associated with inflammation would help the selection of patients with severe course of COVID-19 and high risk of death.

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“…This score, developed with mathematical and statistical calculations, was calculated with the formula (1.14 × age -20) (years) + 1.63 × neutrophil/lymphocyte ratio + 5.00 × D-dimer (mg/L) + 0.14 × C-reactive protein (mg/L) (13). Bilge et al confirmed in their study that ANDC is an independent biomarker (14).…”

Section: Dear Editormentioning

confidence: 77%

Ideal predictor studies

ÖZKAN¹

2022

J. Exp. Clin. Med.

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We have read the article titled “Evaluation of Covid-19 cases that applied to the hospital at the first peak of the pandemic” prepared by Akdoğan et al. with great interest. Firstly, we thank authors for their research from Turkey that aims create an alternative diagnosis method by using some laboratory parameters in the early phase of COVID-19. Although the study resulted in negative results, these studies of academics from Turkey for humanity at a time when the whole world was affected by the pandemic are commendable. Secondly, we thank the authors and the editorial board for their courage in publishing this negative article that is informative and successful manuscript. As mentioned in an article published in nature, highlighting negative results will improve science. We also would like to mention a few important points about ideal predictor studies in the early phase of COVID-19.

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Comparison of systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized patients with malignancy, and their influence on mortality from COVID-19

Cited by 19 publications

References 39 publications

The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients

The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients

Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review

Ideal predictor studies

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