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. 2015 Apr 22;145(6):1194–1201. doi: 10.3945/jn.114.203158

TABLE 3.

PCAs of iron homeostasis and inflammatory variables in men and women at HIV diagnosis and Cox regression analyses of all-cause mortality1

HR (95% CI)
Iron homeostasis index5
PCA model Grouping pattern identified by PCA Total variance explained by pattern, % PCs contributing to grouping pattern PC eigenvector2 PC score,3 unadjusted PC score,3 adjusted4 Unadjusted Adjusted4
PCA16 Pattern 1 (PCA1.1) 43.4 Hepcidin 0.54 1.72 (1.49, 1.99) 1.31 (1.07, 1.61) 1.37 (1.26, 1.50) 1.13 (1.00, 1.27)
Ferritin 0.54
Transferrin 0.53
Pattern 2 (PCA1.2) 24.7 Iron 0.63 1.08 (0.93, 1.27) 1.00 (0.83, 1.20) 1.15 (1.03, 1.29) 1.08 (0.80, 1.45)
sTfR 0.54
Hemoglobin 0.49
PCA27 Pattern 1 (PCA2.1) 44.8 Hepcidin 0.48 1.64 (1.44, 1.87) 1.26 (1.05, 1.51) 1.28 (1.19, 1.37) 1.08 (0.99, 1.89)
Ferritin 0.48
Transferrin 0.46
ACT 0.45
Pattern 2 (PCA2.2) 21.3 Iron 0.61 1.06 (0.90, 1.24) 0.98 (0.82, 1.18) 1.158 (1.03, 1.29) 1.088 (0.80, 1.45)
sTfR 0.56
Hemoglobin 0.46
1

Unadjusted models sample size, n = 196; unadjusted with hemoglobin, n = 140; adjusted, n = 168, adjusted with hemoglobin, n = 119, due to missing data. ACT, α1-antichymotrypsin; PC, principal component; PCA, principal components analysis; sTfR, soluble transferrin receptor.

2

Ordered by relative loading (impact) of eigenvector where more important variables are assigned greater weights. Only meaningful (e.g., eigenvector >0.40) variables are presented.

3

PC scores represent a linear algebraic combination of all variables in the model and are weighted by eigenvectors.

4

Adjusted for HIV type (HIV-1/HIV-dual, HIV-2), age, gender, BMI, absolute CD4 cell count (>500, 200–500, or <200 cells/μL).

5

The iron homeostasis index represents the combined impact on mortality of PCA-identified patterns. Observed concentrations were classified into tertiles: a value of 1 was assigned to tertiles with the lowest HR (in Table 2) including the lowest hepcidin, ferritin, ACT, and sTfR tertiles and the highest transferrin, iron, and hemoglobin tertiles. Intermediate tertile = 2; otherwise = 3 (e.g., the greatest mortality HR in Table 2). Values were summed for individuals representing an overall iron homeostasis index, which was modeled as a single continuous variable.

6

Six-dimensional model including all iron homeostasis variables entered in tertiles.

7

Seven-dimensional model including all iron homeostasis variables plus ACT entered in tertiles.

8

The iron homeostasis index for PCA1.2 and PCA2.2 is equivalent because the same PC pattern (e.g., iron-sTfR-hemoglobin) was identified in both PCA models.