Development of the novel predictive model
organ failure
SYSTEMIC INFLAMMATORY RESPONSE, INFLAMMATION, REGRESSION
Given that these inflammatory indicators were independent risk factors for ICU mortality in ICU patients with CHD, our aim was to construct a novel model to predict ICU mortality in ICU patients with CHD using these inflammatory indicators combined with the SOFA score. We divided patients from MIMIC into a training cohort (n = 5692) and an internal validation cohort (n = 1423) in an 8:2 ratio. Univariate and multifactorial analyses about the association between variables and ICU mortality.Elevated SII, SII ≥ 2167.45; SIRI, SIRI ≥ 6.99; NLR, NLR ≥ 11.34; PLR, PLR ≥ 217.92; NLPR, NLPR ≥ 0.068; AISI, AISI ≥ 1349.60; RDW, RDW ≥ 15.5.AISI, aggregate index of systemic inflammation; CI, confidence interval; NLPR, neutrophil to lymphocyte platelet ratio; NLR, neutrophil-lymphocyte ratio; OR, odds ratio; PLR, platelet-lymphocyte ratio; RDW, red blood cell volume distribution width; SII, systemic inflammatory index; SIRI, systemic inflammatory response index.Then, based on the results of univariate logistic regression, these variables were subjected to multivariate stepwise forward logistic regression (Correlation coefficients and variance inflation factors of the variables in the model. AISI, aggregate index of systemic inflammation; PLR, platelet-lymphocyte ratio; RDW, red blood cell volume distribution width; SOFA, sequential organ failure assessment.Nomogram for the novel model. AISI, aggregate index of systemic inflammation; PLR, platelet-lymphocyte ratio; RDW, red blood cell volume distribution width; SOFA, sequential organ failure assessment.