TABLE 5.
Relation between diarrhea, calprotectin, SCFA, systemic inflammation, and death as obtained from PLS path modeling1
| Cross-validation |
||||||
| Relation between nodes | Direct | Indirect | Total | Bootstrap mean | SE | P2 |
| Diarrhea → calprotectin | −0.222 | 0.000 | −0.222 | −0.161 | 0.207 | 0.08 |
| Diarrhea → SCFAs | −0.298 | 0.000 | −0.298 | −0.254 | 0.117 | 0.02 |
| Diarrhea → systemic inflammation | 0.345 | 0.008 | 0.354 | 0.381 | 0.119 | 0.005 |
| Calprotectin → systemic inflammation | 0.324 | 0.000 | 0.324 | 0.308 | 0.116 | 0.006 |
| SCFAs → systemic inflammation | −0.268 | 0.000 | −0.268 | −0.278 | 0.092 | 0.02 |
| SCFAs → death | −0.213 | −0.130 | −0.343 | −0.351 | 0.106 | 0.06 |
| Systemic inflammation → death | 0.485 | 0.000 | 0.485 | 0.497 | 0.099 | <0.001 |
Relation estimates between diarrhea, calprotectin, the composite measures of SCFAs, and markers of systemic inflammation in relation to death. Direct and indirect relations are calculated between nodes, and total effects are the sum of these effects. SEs and bootstrap means, i.e., the mean value of the calculated total relation estimates obtained from each round of bootstrapping, were obtained through cross-validation. P indicates the significance of path coefficients between model nodes, which are graphically represented with arrows in Figure 3. PLS, partial least squares; SCFA, short-chain fatty acid.
P < 0.05 was considered statistically significant.