Association of Nontraditional Lipid Parameters With Long‐Term Prognosis of Acute Ischemic Stroke: A Principal Components Analysis

Figures

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  Figure 1. Differences in outcomes based on nontraditional lipid parameters. The Kaplan–Meier survival curves between nontraditional lipid parameters (A: AIP, B: AC, C: CRI‐II, D: LCI) and 1‐year mortality. The Kaplan–Meier survival curves between nontraditional lipid parameters (E: AIP, F: AC, G: CRI‐II, H: LCI) and 1‐year hospital readmission. The cloud‐rain map shows the level of the length of hospital stay under nontraditional lipid parameters (I: AIP, J: AC, K: CRI‐II; L: LCI) groups. AC indicates atherogenic coefficient; AIP, atherogenic index of plasma; CRI‐II, Castelli’s index‐II; LCI, lipoprotein combine index; and LOS, length of hospital stay.

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  Figure 2. PCA of baseline traditional and nontraditional lipid parameters. Component loadings for the traditional and nontraditional lipid parameters are shown to produce “lipid components” (A). The eigenvalues in the scree plot (B). The biplots of systemic components 1 and 2 show the different effects of the individual parameters (C). The weight of each nontraditional lipid parameter in the PCA score (D). AC indicates atherogenic coefficient; AIP, atherogenic index of plasma; CRI‐I, Castelli’s index‐I; CRI‐II, Castelli’s index‐II; HDL‐C, high‐density lipoprotein cholesterol; LCI, lipoprotein combine index; PCA, principal components analysis; and RC, remnant cholesterol.

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  Figure 3. A web‐based dynamic nomogram for predicting all‐cause mortality at 1 year. The nomogram incorporated a panel of independent prognostic factors for the prediction of all‐cause mortality at 1 year (A). Graphical summaries showed survival curves (B) and predicted probabilities and 95% CI (C) for 1‐year all‐cause mortality risk predicted by dynamic nomogram for different patients. AF indicates atrial fibrillation; NIHSS, National Institutes of Health Stroke Scale; and PCA, principal component analysis.