Comparative Diagnostic Utility of Systemic Inflammatory Indices Across Hyperthyroidism Subgroups

The overwhelming inflammatory response plays a critical role in the secondary injury cascade of traumatic spinal cord injury (tSCI). The systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) are two novel inflammatory biomarkers. The SII was calculated based on lymphocyte, neutrophil, and platelet counts, while the SIRI was calculated based on lymphocyte, neutrophil, and monocyte counts. Their prognostic value in patients with tSCI remains unclear. Patients with tSCI admitted within 24h of trauma were retrospectively and consecutively enrolled. Peripheral blood samples were collected on admission. The primary outcome was American Spinal Injury Association Impairment Scale (AIS) grade conversion at discharge. Multivariable logistic regression analysis was performed to determine the relationship between SII and SIRI and AIS grade conversion. We performed receiver operating characteristic curve (ROC) analysis to assess the discriminative ability of SII, and SIRI in predicting AIS grade conversion. Among 280 included patients, 77 (27.5%) had improved AIS grade conversion at discharge. After adjustment for confounders, SII was independently associated with AIS grade conversion (per SD, odds ratio [OR], 0.68; 95% confidence interval [CI] 0.47-0.98, p = 0.040), while the association between SIRI and AIS grade conversion was insignificant (per 1 SD, OR, 0.77; 95% CI 0.55-1.08, p = 0.130). The ROC analysis revealed that the SII had the best predictive value for AIS grade conversion (area under curve: 0.608, 95% CI 0.536-0.678). Increased SII was independently associated with a decreased likelihood of improved AIS grade conversion.

Atherosclerosis, the underlying cause of coronary artery disease (CAD), has a significant inflammatory component. White blood cell count is an affordable and accessible way to assess the systemic immune response, as it comprises many subgroups with distinct and complex functions. Considering their multidirectional effect on atherosclerosis, new biomarkers integrating various leukocyte subgroups, the Systemic Inflammatory Index (SII) and the Systemic Inflammatory Response Index (SIRI), were recently devised to describe the balance between inflammation and immune reaction. This research aimed to evaluate the relationship of the intensity of inflammation measured by these biomarkers with the severity of CAD assessed with coronary angiography and with the diagnosis of acute coronary syndrome (ACS) or stable CAD in 699 patients. SIRI, but not SII, was associated with the diagnosis, having the highest values for patients with ACS (STEMI), significantly higher than in patients with stable CAD (p < 0.01). The highest SII and SIRI values were observed in patients with three-vessel CAD. SII and SIRI require further in-depth and well-designed research to evaluate their potential in a clinical setting.

Introduction: Inflammation plays an important role in the pathogenesis of coronary artery disease and Acute Coronary Syndrome (ACS). Inflammatory indicators such as neutrophil count and monocyte count potentially may predict patients’ outcomes and prognosis in ACS. White blood cells count is an affordable and accessible way to assess the systemic immune response. Considering their multidirectional effect on atherosclerosis, new inflammatory biomarkers integrating various leukocyte subgroups have been proposed to calculate the systemic inflammatory response index (SIRI) and systemic inflammatory index (SII). Aim: The aim of this study was to assess the association between the systemic inflammatory response index (SIRI) and Systemic inflammatory index (SII) at admission with major adverse cardiovascular events (MACE) 30-days after Primary Percutaneous Coronary Intervention (PPCI) among patients with Acute Coronary Syndrome (ACS) at one referral hospital in Jordan. Method: A Prospective design was used to assess and follow 150 adults presented with ACS and received PPCI at one referral hospital in Jordan. Data was collected from patients and their medical records during hospital stay using a structured data collection form. The MACE was assessed 30-days after PPCI through phone calls with patients and confirmed from medical records. Results: The study included 150 patients with ACS, 82.7% (n= 124) of them were males. The mean age of patients was 57.68 (SD= 11.19) years. Types of ACS include stable angina 5.3% (n=8), unstable angina 24% (n=36), NSTEMI 28.7% (n=43), and STEMI 24% (n=36). All patients had interventional PCI with balloon and stent insertion. The mean of SIRI was 24.45 (SD=25.49) and the mean of SII was 663.30 (SD= 403.75). Rate of MACE as composite outcome 30-days after PPCI as 24.7% (n=37). The most MACE was unplanned repeat revascularization (n=14, 38% of MACE). Significant association between SIRI and SII, and MACE was found SIRI:(Χ2(2)&gt; = 12.63, p = 0.001), SII:(Χ2(2)&gt; = 4.23, p = 0.03). Conclusion: The SIRI and SII are inflammatory biomarkers that should be studied as potentially predictors of MACE among patients presented with ACS.

Background Inflammation plays a significant role in the pathophysiology of cardiovascular diseases, particularly in myocardial infarction; the inflammatory indices have emerged as a potential cost-effective prognostic tool. Purpose Determine that the inflammatory index provided a new tool for the initial evaluation of patients at high risk of developing cardiogenic shock. Methods We conducted a prospective cohort study at a tertiary care center in our city, including patients above 18 years who presented in 2025 with STEMI and had a complete initial blood count. Exclusion criteria were: other acute diagnoses, malignancy, autoimmune disease, recent infection, or hematologic malignancies such as leukemia. We calculated inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), pan-inflammatory value (PIV), systemic inflammatory index (SII), and systemic inflammatory response index (SIRI). In-hospital outcomes collected included cardiogenic shock and mortality. Results A total of 400 patients were included; 84% were male, with a mean age of 60.9 years. Hypertension was present in 51.8% of cases, and cardiogenic shock (CS) occurred in 6% (n = 24). Patients who developed CS exhibited significantly higher inflammatory indices compared with those without CS (p &amp;lt; 0.05 for all). Mean NLR and SII values were markedly elevated in the CS group (8.8 ± 4.2 vs 6.6 ± 5.3, p = 0.001; 2303 ± 1291 vs 1652 ± 1481, p = 0.01, respectively). Similarly, PLR (203 ± 89 vs 167 ± 95, p = 0.02), SIRI (7.1 ± 5.0 vs 5.1 ± 5.3, p = 0.03), and PIV (6.2 ± 5.4 vs 4.5 ± 4.9, p = 0.04) were higher among shock patients. In ROC analysis, NLR and SII demonstrated the best discriminative performance for predicting CS. NLR showed an AUC of 0.69 (95% CI 0.61–0.79). The optimal cutoff by Youden’s index was 4.6, yielding 91% sensitivity and 45% specificity, while a balanced threshold of 7.1 achieved 65% sensitivity and 69% specificity. SII exhibited a similar AUC of 0.70 (95% CI 0.60–0.79), with an optimal cutoff value of 1479, corresponding to 83% sensitivity and 61% specificity. In multivariable analysis, both indices remained independently associated with CS after adjustment for confounding factors. No significant differences were observed in in-hospital mortality between groups. Conclusion Inflammatory indices derived from routine blood counts are significantly associated with the development of cardiogenic shock in ACS. Despite their simplicity, these biomarkers demonstrated acceptable discriminative performance and may serve as early, cost-effective tools for bedside risk stratification and clinical decision support.ROC Curves for Cardiogenic Shock

To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups. The screening effect of each variable on the progression of the disease was analyzed using receiver operating characteristic (ROC) curves. NLR, PLR, NLPR, MLR, SIRI, SII, AISI, LDH, CRP and PCT in severe case group were higher than those in mild case group (P<0.05), and LMR was lower than those in mild case group (P<0.05). ROC curve analysis further demonstrated the diagnostic performance of these biomarkers, with PCT having the largest area under the ROC curve (AUCROC) of 0.83. NLR, PLR, NLPR, SIRI, SII, LDH, CRP and PCT demonstrate greater reliability in diagnostic value and clinical utility for predicting the severity of COVID-19 in patients with T2DM.

Aims: The increasing frequency of natural disasters has led to a higher incidence of crush injuries. Consequently, with the advancement of disaster medicine in recent years, the number of crush syndrome cases has also risen. In the management of disaster medicine, there is a growing need for rapid and reliable biomarkers for the diagnosis and prognostic evaluation of such cases. Creatine kinase (CK) and C-reactive protein (CRP) are among the most commonly used biomarkers for assessing inflammatory processes. Recently, novel inflammatory indices such as the Systemic Inflammatory Response Index (SIRI), Systemic Immune-Inflammation Index (SII), and Pan-Immune Inflammation Value (PIV) have been shown to play a significant role in the rapid diagnostic and prognostic evaluation of various diseases. This study aimed to determine the diagnostic value and clinical significance of the SII, SIRI, and PIV indices in the diagnosis of crush syndrome. Methods: This retrospective observational study was conducted on patients diagnosed with crush syndrome who were affected by the earthquake that occurred in Hatay on February 6, 2023, and presented to Ankara Etlik City Hospital between January 1 and December 31, 2023. The included patients were analyzed in terms of laboratory parameters and inflammatory indices and were compared with a control group. Results: In the patient group, markers of inflammation, tissue damage, and metabolic disruption were found to be significantly elevated compared to the control group. Notably, levels of CRP, WBC, neutrophils, CK, AST, ALT, BUN, and potassium were markedly increased, while calcium and pH levels were decreased. Systemic inflammatory indices such as SII, SIRI, PIV, and NLR were also found to be higher in the patient group. In logistic regression analysis, only the SIRI variable was found to be a statistically significant independent predictor. ROC analyses demonstrated that parameters such as AST, ALT, and SIRI had high diagnostic power. These findings indicate a more pronounced systemic inflammatory and pathophysiological process in the patient group. Conclusion: The data obtained suggest that inflammatory indices play a critical role in the diagnosis of crush syndrome. In particular, the Systemic Inflammatory Response Index (SIRI) may offer stronger diagnostic value compared to other indices. Therefore, the use of SIRI as a biomarker in the early diagnosis and management of crush syndrome may be beneficial in clinical practice.

Introduction: Breast cancer is the most frequently encountered malignant tumour in women around the world with high incidence and mortality rates worldwide. The concept of being able to prognosticate breast cancer based on routine peripheral blood examinations is attractive given the ease of access, replicability, and lower cost. Aim: To estimate the Systemic Immune-inflammatory Index (SII) and Systemic Inflammatory Response Index (SIRI) in invasive ductal carcinoma of breast and to study association between SII and SIRI with prognostic parameters such as molecular subtypes, Grade and Stage of the disease. Materials and Methods: This retrospective cross-sectional analytical study was conducted at Departments of Pathology and Surgical Oncology, Sri Devaraj Urs Medical college, Tamaka, Karnataka, India, from February 2024 to August 2024 it included 90 histopathologically confirmed cases of invasive ductal carcinoma of the breast diagnosed between January 2018 and December 2020. Clinicopathological data such as age, tumour grade, stage, and molecular subtype were obtained from medical records. Neutrophil, lymphocyte, monocyte, and platelet counts were obtained from case files. The SII and SIRI were calculated using standard formulas. Optimal cut-off values were derived using Receiver Operating Characteristic (ROC) curve analysis, and patients were categorised into high and low index groups. Statistical analysis was performed using Statistical Package for Social Sciences (SPSS) version 22.0. Associations between inflammatory indices and prognostic parameters were assessed using the Chi-square test, with p&lt;0.05 considered statistically significant. Results: A total of 90 patients with invasive ductal carcinoma of the breast were included in the study. Based on ROC analysis, the cut-off values for SII and SIRI were 568.83 and 0.831, respectively. High SII levels showed a statistically significant association with histological grade (p=0.002). However, no significant association was observed between SII and tumour stage (p=0.235) or molecular subtype (p=0.770). Similarly, elevated SIRI levels were significantly associated with histological grade (p=0.013) and tumour stage (p=0.022). No significant association was observed between SIRI and molecular subtypes (p=0.734). Conclusion: Systemic inflammatory indices such as the SII and SIRI represent accessible, inexpensive, and non invasive tools that may aid in prognostic assessment and risk stratification in patients with invasive ductal carcinoma of the breast. Their evaluation using routine peripheral blood parameters highlights the potential clinical utility of inflammation-based biomarkers in the overall management and prognostication of breast cancer.

Severe pneumonia remains a major cause of intensive care unit admission and death, and practical tools for early risk stratification remain limited. We evaluated several readily available systemic inflammatory indices and their association with 28-day all-cause mortality in patients with severe pneumonia. This retrospective single-center study included 100 ICU patients with severe pneumonia treated between January 2022 and December 2023. The primary endpoint was 28-day all-cause mortality. Patients were classified into a death group (n = 37) and a non-death group (n = 63). Systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and inflammatory burden index (IBI) were calculated from routine laboratory data. Logistic regression models with progressive adjustment were used to evaluate the independent associations of these indices with 28-day mortality. Several inflammatory indices were higher in patients who died within 28 days. In unadjusted and minimally adjusted analyses, SIRI, NLR, and IBI were significantly associated with 28-day mortality. After further adjustment for age, sex, body mass index, smoking, drinking, admission APACHE II score, oxygenation index, mechanical ventilation duration, and major baseline comorbidities, only SIRI and NLR remained independently associated with 28-day mortality. In the fully adjusted model, each 1-standard deviation increase in SIRI and NLR was associated with higher odds of 28-day death (SIRI: OR 2.16, 95% CI 1.08-4.33; NLR: OR 2.12, 95% CI 1.14-3.95). By contrast, the associations of SII and IBI were attenuated after additional adjustment, and PLR was not independently associated with 28-day mortality. Among the evaluated inflammatory indices, SIRI and NLR showed the most stable independent associations with 28-day all-cause mortality in severe pneumonia. These findings are exploratory and require external validation, but they suggest that selected inflammation-based indices may provide additional prognostic information beyond conventional severity markers.

This retrospective observational study investigates the predictive value of inflammatory indices Neutrophil Lymphocyte Ratio (NLR), Platelet Lymphocyte Ratio (PLR) and Systemic Inflammatory Index (SII) for detecting gallstones and forecasting outcomes in patients with acute cholecystitis (AC). Conducted from 01 September 2022, to 01 September 2023, the research involved patients aged 18 and older diagnosed with AC in an emergency department, excluding those with overlapping pathologies or insufficient data. The study employed hemogram-based indices to explore their correlation with the presence of gallstones and the severity of AC, assessing outcomes such as hospitalization duration and the necessity for surgical intervention. Findings demonstrated that high NLR and SII values significantly correlated with severe outcomes and increased hospitalization rates, while SII exhibited the highest accuracy in predicting mortality. Moreover, the study uniquely identified the Systemic Inflammatory Response Index (SIRI) as a significant marker for gallstone presence. In conclusion, inflammatory indices like NLR, PLR and SII can be practical prognostic tools in managing AC, potentially guiding clinical decisions regarding immediate surgical needs and overall patient management. This suggests a broader application for these indices in emergency and surgical settings, improving diagnostic accuracy and treatment strategies.

Background and purposeTo explore the association of systemic inflammatory index (SIRI), systemic immune-inflammatory index (SII) and inflammatory prognosis index (IPI) with 90d outcomes in patients with acute ischemic stroke (AIS) after intravenous thrombolysis.MethodsThe patients who underwent intravenous thrombolysis were enrolled in the present study from September 2019 to December 2022. According to the relevant blood indexes obtained in 24 h after admission, the corresponding values of SIRI, SII and IPI were calculated. The correlation among SIRI, SII, IPI, and admission NIHSS scores was examined by Spearman correlation analysis. ROC curve analysis was conducted to determine the optimal cut-off value of SIRI, SII, IPI, and their corresponding sensitivity and specificity to evaluate their predictive value on admission for poor prognosis. To investigate whether high SIRI, SII, and IPI were independent predictors of poor outcomes within 90 days, variables with P-value < 0.05 during univariate analysis were included in multivariate analysis.ResultsCompared with the good outcome group, the poor outcome group had higher SIRI, IPI, and SII. Spearman correlation analysis showed that the SIRI, IPI, and SII levels significantly correlated with the admission NIHSS score (r = 0.338, 0.356, 0.427, respectively; Ps < 0.001). Univariate analysis and Multivariate logistic regression analysis revealed high SIRI, SII, and IPI values as independent risk factors for poor 90-day prognosis (OR = 1.09, 1.003 and 7.109, respectively).ConclusionsHigh SIRI, IPI, and SII values are correlated with poor 90d outcomes in AIS patients undergoing intravenous thrombolysis.

Background: Duchenne Muscular Dystrophy (DMD) is an X-linked recessive neuromuscular disorder that is characterized by progressive muscle weakness, musculoskeletal limitations, and pulmonary involvement, with cardiomyopathy and cardiovascular complications being a primary cause of morbidity and mortality. With advances in respiratory care, cardiac involvement has become the leading cause of death. There is growing interest in systemic inflammatory indices as potential predictors of cardiovascular involvement. This study aimed to evaluate the prognostic value of inflammatory markers—neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and pan-immune inflammation value (PIV)—in children with DMD and to explore their association with cardiac findings. Methods: In this retrospective study, 25 male patients diagnosed with DMD and 25 age-matched healthy male controls were evaluated between January 2021 and July 2024. Demographic and clinical data, hematologic and biochemical parameters, and inflammatory indices were recorded. Cardiovascular involvement was assessed using electrocardiography (ECG) and transthoracic echocardiography (TTE). Group comparisons were performed using independent t-tests, while ROC and Pearson correlation analyses were used for diagnostic performance and associations. Results: Pathological Q waves were the most frequent ECG abnormality (24%), and 16% of patients had echocardiographic abnormalities. While most systemic inflammatory indices (NLR, MLR, SIRI, SII, PIV) did not significantly distinguish cardiovascular involvement, PLR demonstrated a strong positive correlation with Pro-BNP levels (r = 0.86, p < 0.05), suggesting a potential link between systemic inflammation and subclinical cardiac stress. Conclusions: Although the overall diagnostic utility of inflammatory indices in predicting cardiovascular complications in DMD was limited, PLR showed a correlation with Pro-BNP in our cohort. However, given the small sample size and limited number of patients with ventricular dysfunction, this finding should be interpreted with caution. PLR may warrant further investigation as a potential marker of cardiovascular involvement in DMD, but larger prospective studies are needed to validate its clinical significance.

To determine the prognostic value of systemic inflammatory indices and skeletal muscle mass (SMM) as factors for postoperative complications in patients with advanced stages of oral squamous cell carcinoma (OSCC) undergoing free forearm-flap (FFF) reconstruction. In this retrospective cohort study of patients who underwent reconstruction of oral cavity defects with FFF after resection of oral cancer the SMM was assessed. Primary predictor variables inflammatory markers neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, lymphocyte-monocyte ratio, systemic immune inflammatory index and systemic inflammatory marker index, and skeletal muscle mass index were determined. Multivariate regression analyses were used to determine the associations between low SMM and/or systemic inflammatory indices and the occurrence of postoperative complications. The sample was composed of 131 patients. Low SMM was associated with any postoperative complications (OR 4.78, 95% CI 1.73-13.17, p=0.00). It was also associated with medical and surgical postoperative complications. Inflammatory indices were not found to be significantly associated with postoperative complications. The addition of elevated systemic inflammation to low SMM did not alter its predictive outcome. Low SMM in patients with OSCC is associated with the occurrence of postoperative complications after FFF reconstruction surgery. Inflammatory indices as measures of systemic inflammation were not found to be associated with an increased incidence of postoperative complications in these patients.

PurposeThe aim of this study was to evaluate the predictive value of the systemic inflammatory index (SII), the systemic inflammatory response index (SIRI), and the aggregate systemic inflammatory index (AISI) in patients diagnosed with preeclampsia (PE) for PE and composite adverse perinatal outcomes (CAPO) in patients with PE.Patients and MethodsThis single-center, retrospective case-control study included pregnant women aged 18–45 years with PE and healthy controls. First- and third-trimester hematological parameters were recorded, and inflammatory indices were calculated. Neonatal intensive care unit (NICU) admission and CAPO were evaluated as clinical outcomes. Receiver operating characteristic (ROC) analysis assessed predictive performance, and multivariable logistic regression was used to adjust for confounding factors.ResultsA total of 300 patients (150 with PE and 150 controls) were included. The PE group had significantly higher rates of NICU admission and CAPO (p < 0.05). Several first- and third-trimester inflammatory indices, including NLR, PNR, SII, SIRI, and AISI, were significantly higher in the PE group. ROC analysis demonstrated that multiple indices were associated with the prediction of PE, NICU admission, and CAPO. In multivariable analysis, third-trimester PLR remained an independent predictor of NICU admission, while third-trimester PLR and PMR were identified as independent predictors of CAPO (p < 0.05). For the prediction of PE, only first-trimester NLR and PNR remained independent predictors (p < 0.05).ConclusionInflammation-based indices derived from routine blood tests were associated with PE and adverse perinatal outcomes. Inflammation-based indices derived from routine blood tests were associated with PE and adverse perinatal outcomes. Certain indices demonstrated independent predictive value, particularly third-trimester PLR for NICU admission, third-trimester PLR and PMR for CAPO, and first-trimester NLR and PNR for PE. However, these indices should be interpreted in conjunction with clinical variables and considered as supportive markers rather than stand-alone predictors in clinical practice.

Objective: To evaluate the diagnostic and prognostic utility of the hemoglobin-albumin-lymphocyte-platelet (HALP) score and several systemic inflammatory indices derived from routine blood parameters-including the systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), pan-immune inflammation value (PIV), and systemic inflammatory response index (SIRI)-for pathogen differentiation and clinical assessment in culture-proven late-onset neonatal sepsis (LOS). Methods: A retrospective analysis was conducted on a cohort of 150 neonates with culture-proven LOS. Systemic inflammatory indices were calculated at baseline (first week of life) and at the time of septic insult. The discriminative power of these indices was assessed via ROC curve analysis, with optimal cut-off points determined by the Youden Index. Risk stratification was performed using Odds Ratio (OR) modeling with 95% Confidence Intervals (CIs) to evaluate the predictive strength of each marker according to its respective threshold. Results: Diagnosis-phase assessments identified SII as the premier discriminator for microbiological etiology (AUC = 0.869; OR = 44.57), outperforming PLR and PIV. Although HALP demonstrated moderate efficacy in distinguishing pathogens, it lacked prognostic value regarding mortality. Conversely, SIRI displayed limited clinical utility, yielding the lowest predictive performance in our cohort. Conclusions: In neonatal sepsis, the HALP score provided additional clinical information when compared with several hematological inflammatory indices. Although HALP was not associated with mortality, prospective multicenter studies are needed to clarify the role of these cost-effective markers in pathogen differentiation and clinical assessment of LOS.

COVID-19 can cause a wide range of effects on patients, from asymptomatic cases to mortality. Many factors can affect the prognosis of the disease. Our study aims to evaluate the predictive power of the Systemic Inflammatory Index (SII) and Systemic Inflammatory Response Index (SIRI) in determining prognosis and mortality in patients. Patients who tested positive for COVID-19 by polymerase chain reaction and presented to the emergency department of Merin Hospital between September 1, 2020, and August 31, 2021, were included in the study. The data of the patients were retrospectively analyzed. A total of 446 patients were included in our study. The rate of patients with severe disease was 55.6%, and the mortality rate was 30.5%. It was found that mortality increased with age (p&lt;0.001). SII and SIRI levels were found to be higher in patients who died or had severe disease (p&lt;0.001). It was determined that the severity level increased in COVID-19 patients when the SIRI value was above 1.648 (p&lt;0.0001, AUC=0.689), and the mortality rate increased when the SIRI value was above 2.057 (p&lt;0.0001, AUC=0.640). It was determined that the severity level increased in COVID-19 patients when the SII value was above 867.834 (p&lt;0.0001, AUC=0.744), and the mortality rate increased when it was above 1370.353 (p&lt;0.0001, AUC=0.682). In patients diagnosed with COVID-19, it was found that SII and SIRI parameters could predict the severity and mortality of the disease. Further comprehensive studies are needed to determine the future roles of these indices.