Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index as Predictors of Mortality in ST-Elevation Myocardial Infarction

Marchi, Federica; Pylypiv, Nataliya; Parlanti, Alessandra; Storti, Simona; Gaggini, Melania; Paradossi, Umberto; Berti, Sergio; Vassalle, Cristina

doi:10.3390/jcm13051256

Cited by 9 publications

(1 citation statement)

References 42 publications

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“…Consequently, investigating an index that integrates monocytes seems useful. The Systemic Inflammatory Response Index (SIRI), a composite index incorporating information from NLR components and monocytes [32], could thus offer pertinent insights into the cellular response in T1DM. Nevertheless, studies on the use of the SIRI in T1DM remain scarce.…”

Section: Introductionmentioning

confidence: 99%

Systemic Inflammatory Response Index (SIRI) as a Predictive Marker for Adverse Outcomes in Children with New-Onset Type 1 Diabetes Mellitus

Scutca,

Jugănaru,

Nicoară

et al. 2024

JCM

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(1) Background: Although most cases of new-onset type 1 diabetes mellitus (T1DM) are managed without serious events, life-threatening complications do arise in a subset of patients. Our objective was to assess the correlation between elevated SIRI values and adverse events related to the onset of T1DM. (2) Methods: This retrospective study, spanning ten years, included 187 patients with new-onset T1DM divided into three groups based on SIRI tertiles. The primary outcome was the occurrence of acute complications during hospital admission, while the secondary outcome was prolonged Intensive Care Unit (ICU) admission. (3) Results: Patients with high SIRI values were more likely to experience higher disease activity, leading to longer ICU admission times and more frequent complications. Multivariate logistic regression analysis revealed that the SIRI was independently associated with acute complications (p = 0.003) and prolonged ICU length of stay (p = 0.003). Furthermore, receiver operating characteristic analysis demonstrated the SIRI’s superior predictive accuracy compared to venous pH (AUC = 0.837 and AUC = 0.811, respectively) and to the individual component cell lineages of the SIRI. (4) Conclusions: These findings emphasize the potential utility of the SIRI as a prognostic marker in identifying patients at increased risk during T1DM hospital admissions.

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Section: Introductionmentioning

confidence: 99%

Systemic Inflammatory Response Index (SIRI) as a Predictive Marker for Adverse Outcomes in Children with New-Onset Type 1 Diabetes Mellitus

Scutca,

Jugănaru,

Nicoară

et al. 2024

JCM

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MicroRNAs and therapeutic potentials in acute and chronic cardiac disease

Song,

Zhang

2024

Drug Discovery Today

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Predictive Value of D-Dimer for In-Hospital Mortality in Non-Diabetic Patients with Non-ST-segment Elevation Myocardial Infarction

Li,

Liu,

Gao

et al. 2024

Clin Appl Thromb Hemost

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Elevated circulating D-dimer levels have been shown to be a predictor of in-hospital mortality in a variety of diseases; however, the relationship between D-dimer and the in-hospital prognosis of non-ST-segment elevation myocardial infarction (NSTEMI) remains unclear. This retrospective study included 662 non-diabetic patients with NSTEMI. Independent risk factors were identified by multivariate analyses, and the receiver operating characteristic (ROC) curve analyses were performed to compare the predictive value of D-dimer, albumin (ALB), and D-dimer to albumin ratio (DAR) for in-hospital death in NSTEMI. Logistic regression model with restricted cubic spline (RCS) was used to further explore the linear or nonlinear relationship between D-dimer and the risk of death. In-hospital mortality occurred in 38 (5.7%) patients. Multivariate analysis showed that D-dimer (per increase of 500 ng) was identified as an independent predictor for in-hospital mortality in non-diabetic patients with NSTEMI (OR = 1.19, 95% CI: 1.03–1.40, P = 0.036). D-dimer demonstrated good predictive performance for in-hospital mortality with an area under the ROC curve (AUC) value of 0.75 (95% CI: 0.66–0.83), and there was no significant difference in the predictive ability of D-dimer, ALB (AUC = 0.70, 95% CI: 0.61–0.79) and DAR (AUC = 0.75, 95% CI: 0.66–0.84). In addition, RCS analysis showed a linear relationship between D-dimer and the risk of in-hospital mortality (P for nonlinear = 0.747). D-dimer can be used as a simple, reliable and valuable biomarker for predicting in-hospital mortality in non-diabetic patients with NSTEMI and is linearly associated with the risk of death.

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Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index as Predictors of Mortality in ST-Elevation Myocardial Infarction

Cited by 9 publications

References 42 publications

Systemic Inflammatory Response Index (SIRI) as a Predictive Marker for Adverse Outcomes in Children with New-Onset Type 1 Diabetes Mellitus

Systemic Inflammatory Response Index (SIRI) as a Predictive Marker for Adverse Outcomes in Children with New-Onset Type 1 Diabetes Mellitus

MicroRNAs and therapeutic potentials in acute and chronic cardiac disease

Predictive Value of D-Dimer for In-Hospital Mortality in Non-Diabetic Patients with Non-ST-segment Elevation Myocardial Infarction

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