The role of inflammatory indices in the outcome of COVID-19 cancer patients

Nooh, Hend A; Abdellateif, Mona S.; Refaat, Lobna; Kandeel, Eman Z.; Bayoumi, Ahmed; Samra, Mohamed; Khafagy, Medhat

doi:10.1007/s12032-021-01605-8

Cited by 16 publications

(15 citation statements)

References 44 publications

(53 reference statements)

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“…The optimal cutoff value for NLRP was 0.028 (AUC = 0.604). 12 Similarly, Fois et al (2020) performed an analysis for inflammatory markers including NLRP in patients with COVID-19. The optimal cut-off value of NLRP was 0.019 (AUC = 0.706).…”

Section: Discussionmentioning

confidence: 99%

“…The hematologic inflammatory markers were calculated as follows: AISI = (neutrophil*platelet*monocyte)/lymphocyte, SIRI = (neutrophils*monocytes)/lymphocytes, NLPR = neutrophil/(lymphocyte*platelet), SII = (neutrophil*platelet)/lymphocyte, dNLR = neutrophil/(WBC–neutrophil), NLR = neutrophil/ lymphocyte, PLR = platelet/lymphocyte, MLR = monocyte/lymphocyte. 12 , 17 , 18 …”

Section: Methodsmentioning

confidence: 99%

“… 10 , 11 Furthermore, as more complicated and newly mentioned inflammatory markers, the aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte*platelet ratio (NLRP) have only been proposed simultaneously as biomarkers for predicting mortality in COVID-19 patients. 9 , 12 , 13 However, no studies have investigated the prognostic capacity of these 3 novel indices for ACS prognosis. We hypothesized that AISI, SIRI, and NLPR could also reflect the prognosis of patients with ACS as novel indicators of blood inflammatory cell counts.…”

Section: Introductionmentioning

confidence: 99%

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The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Fan

Wei

Liu

et al. 2022

Clin Appl Thromb Hemost

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The aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte*platelet ratio (NLRP) are novel indices that simultaneously reflect the inflammatory and immune status. However, the role of these indices in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) remains unclear. We aimed to elucidate the predictive value of AISI, SIRI, and NLRP in patients with ACS undergoing PCI. A total of 1558 patients with ACS undergoing PCI were consecutively enrolled from January 2016 to December 2018. The AISI, SIRI, NLRP, systemic immune-inflammatory index, derived neutrophil-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio cutoff values for predicting major adverse cardiovascular events (MACE) were calculated using receiver-operating characteristic curves, and Spearman's test was used to analyze correlations between these indices. Kaplan–Meier curves and Cox regression models were used for survival analyses, and the endpoint was a MACE, which included all-cause mortality and rehospitalization for severe heart failure during the follow-up period. The Kaplan–Meier curves showed that higher AISI, SIRI, and NLRP values were associated with a higher risk of MACE (all P < .001). The association between AISI, SIRI, and NLRP and ACS prognosis was stable in various subgroups according to sex, age, smoking, dyslipidemia, hypertension, diabetes mellitus, history of stroke, and heart failure ( P for interaction > .05). Increasing tertiles of AISI, SIRI, and NLRP significantly increased the MACE risk ( P for trend < .05). AISI, SIRI, and NLRP may be suitable laboratory markers for identifying high-risk patients with ACS after PCI.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Fan

Wei

Liu

et al. 2022

Clin Appl Thromb Hemost

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“…Despite surgical challenges, the off-pump technique (off-pump coronary artery bypass surgery, OPCAB) can be performed safely by experienced surgeons and may rule out the risk of inflammatory activation that is secondary to CPB application [ 21 ]. Despite the elimination of cardiopulmonary application in the OPCAB technique, off-pump surgery still possesses an inflammatory burden that has a detrimental effect on the long-term prognosis [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery

Urbanowicz

Michalak

Olasińska-Wiśniewska

et al. 2022

Cells

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Background: Several perioperative inflammatory markers are postulated to be significant factors for long-term survival after off-pump coronary artery bypass surgery (OPCAB). Hematological parameters, whether single or combined as indices, provide higher predictive values. Methods: The study group comprised 538 consecutive patients (125 (23%) females and 413 (77%) males) with a mean age of 65 +/− 9 years, who underwent OPCAB with a mean follow-up time of 4.7 +/− 1.7 years. This single-center retrospective analysis included perioperative inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), aggregate index of systemic inflammation (AISI), and systemic inflammatory index (SII). Results: Multivariable analysis identified levels of neutrophils above 4.3 × 109/L (HR 13.44, 95% CI 1.05–3.68, p = 0.037), values of SIRI above 5.4 (HR 0.29, 95% CI 0.09–0.92, p = 0.036) and values of NLR above 3.5 (HR 2.21, 95% CI 1.48–3.32, p < 0.001) as being significant predictors of long-term mortality. The multifactorial models revealed the possibility of strong prediction by combining preoperative factors (COPD, stroke, PAD, and preoperative PLR) and postoperative neutrophil counts (p = 0.0136) or NLR (p = 0.0136) or SIRI (p = 0.0136). Conclusions: Among the postoperative inflammatory indices, the levels of neutrophils, NLR, and SIRI are the most prominent markers for long-term survival after off-pump coronary artery bypass surgery, when combined with preoperative characteristics.

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“…Hematological indicators such as neutrophils, lymphocytes, monocytes, and platelets count can reflect the inflammatory condition of the system and have potential value for prognostic prediction of many tumors [ 10 – 13 ]. Different combinations of these markers yielded various inflammatory markers, such as SII, SIRI, NLR, PLR, and MLR, which have been reported as important prognostic factors for malignancies including lung cancer, nasopharyngeal carcinoma, and COVID-19 cancer [ 14 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

The prognostic value of the preoperative inflammatory index on the survival of glioblastoma patients

Nyalali

et al. 2022

Neurol Sci

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Objectives The growth and development of tumors are closely related to the initiation and amplification of the inflammatory response. Various inflammatory biomarkers had attained growing attention for nearly two decades and were discovered strongly associated with cancer patients’ prognosis, indicating that systemic inflammatory response is possibly essential to cancer progression. However, little was known about the sensitive biomarkers associated with the detection, persistence, treatment, and prognosis of GBM. Hence, the retrospective research endeavored to evaluate the prognostic value of preoperative inflammatory biomarkers in patients with GBM who initially received standardized treatment. Methods The 232 glioblastoma patients eligible who were admitted to Qilu Hospitals in Shandong Province from January 2014 to January 2018 were collected for this analysis. Inflammatory markers, including the systemic immune-inflammation index (SII), systemic immune response index (SIRI), neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and albumin/globulin ratio (AGR), were designed. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method, and we calculated the area under the ROC curve to determine the AUC value. Besides, we used the Cox proportional hazard model to estimate the relationship between variables and PFS and OS. The statistical differences between variables and PFS and OS were tested through the log-rank test. What is more, the LR method was used to perform Cox multiple regression analysis. The results were represented by hazard ratio (HR), 95% CI, any 2-tailed P < 0.01 was accepted as statistically different. Results The multivariate Cox proportional hazard model presented that SII ≥ 659.1 was an independent risk factor affecting OS (HR = 2.238, 95% CI = 1.471–3.406, P < 0.001) and postoperative PFS (HR = 2.000, 95% CI = 1.472–2.716, P < 0.001) in GBM patients. The 1-, 3-, and 5-year OS of the SII < 659.1 group was 70.8%, 26.9%, and 14.1%, respectively, while the 1- and 3-year OS of the SII ≥ 659.1 group was 37.5% and 11.5% ( P < 0.001). The 1-, 3-, and 5-year PFS of the SII < 659.1 group was 36.3%, 19.6%, and 13%, respectively, while the 1-year PFS of the SII ≥ 659.1 group was 11.3% ( P < 0.001). Results of patients’ clinical and pathological characteristics paraded that in comparison to the lower SII group, the higher SII group had significantly inferior Karnofsky Performance Scale (KPS) scores ( P < 0.001) and more frequent cystic changes of the tumors ( P < 0.001), whereas the values of SIRI, NLR, PLR, MLR, and AGR were low. Conclusions SII is an independent inflammatory indicator for predicting the prognosis of GBM pa...

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The role of inflammatory indices in the outcome of COVID-19 cancer patients

Cited by 16 publications

References 44 publications

The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery

The prognostic value of the preoperative inflammatory index on the survival of glioblastoma patients

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