Correlation analysis showed a highly significant correlation of the neopterin/eGFR ratio with NT-proBNP concentrations (rs = 0.438, p < 0.001), cardiac index (rs = −0.383, p < 0.001), right atrial pressure (RAP, rs = 0.172, p = 0.041), pulmonary artery mean pressure (mean PAP, rs = 0.281, p = 0.001) and pulmonary capillary wedge pressure (PCWP, rs = 0.302, p < 0.001).
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A linear-by-linear association test confirmed a significant trend (χ 2 = 21.76, p < 0.001), indicating a relationship between increasing BMI and SD. 3.3.
A statistically significant correlation was assumed at p < 0.05 (*); p < 0.01 is a highly significant correlation (**); and p < 0.001 is a very highly statistically significant correlation (***). 5.
Bilateral gonial angles demonstrated strong symmetry, with a highly significant positive correlation (r = 0.795, 95% CI 0.695–0.864, p < 0.001).
We conducted further analysis only with aIAB that was highly significant ( p < 0.001) in the univariate regression analysis after Bonferroni correction.
In patients with an abnormal and large %CO reduction (<−15%), the relation was highly significant: %CBF reduction = 0.8291 × %CO reduction − 5.789; R 2 = 0.645; p < 0.001.
Patients who stated not having returned to their preferred sports activity until their follow-up examination ( n = 4, 19%) had a highly significant loss of activity regarding TAS compared to patients who accomplished an RTS (TAS-delta 2.5 [1.25–3] for no RTS vs. 0 [0–0] for RTS; p < 0.001, Figure 3 ).
In comparison, it decreased for both high-flux HD (9.8 to 8.0%) and HDF (10.6 to 5.2%), and the difference between treatments was highly significant ( p < 0.001) [ 20 ].
Among the three experimental conditions, NIV was associated with the greatest reduction in respiratory muscle effort during exercise, reflected in highly significant decreases in both peak and area NRD values for the EMGpara compared with COT and HFT: EMGpara NRD peaks: ▪ Within-subject: F (6,14) = 8.970, p < 0.001, η 2 = 0.79, β −1 = 0.99. ▪ Between-subject: F (2,18) = 9.116, p < 0.01, η 2 = 0.50, β −1 = 0.94.
Bartlett’s Test of Sphericity was highly significant (χ 2 = 186, df = 15, p < 0.001), confirming that the correlation matrix differed significantly from an identity matrix and that the variables were sufficiently intercorrelated for PCA.
The difference between groups was statistically significant ( p = 0.028) when comparing only the groups I and N, but highly significant differences ( p < 0.001) were found when comparing all three groups.
However, comparing the vitamin D levels of RDO patients with those of patients with OA in our control group (mean 11.04 ng/mL versus 22.16 ng/mL) showed highly significant differences between groups ( p = 0.001).
Splenectomy indication emerged as a highly significant independent predictor of DFS (overall p < 0.001).
The results show highly significant correlations for all dependent variables ( p < 0.001), with coefficients ranging from 0.758 to 0.851, indicating strong positive associations between the two sets of ratings.
Remarkably, in the alcohol group, the percentage of good outcomes was 82%, a highly significant difference from the controls (36%; p < 0.001).
In comparison, the NTR curve remained relatively stable (NTR: β = −0.042, p = 0.898, R 2 = 0.002), while the mesh curve exhibited a decreasing trend (TVM: β = −0.973, p < 0.001, R 2 = 0.94).
The results revealed significant heterogeneity within all groups (I 2 ≥ 93.9%), with a highly significant test for subgroup differences (χ 2 = 521.54, df = 3, p < 0.001), indicating distinct TSH distributions across the cohorts.
The overall Cochran–Mantel–Haenszel test was highly significant ( p < 0.001), indicating that the anticoagulant exposure-to-complication rate relationship differed greatly across the studied subgroups.
One-way ANOVA showed a highly significant difference among EDC severity groups (F = 47.3, p < 0.001).
For the gastric cancer data, the overall comparison was highly significant ( p < 0.001), and the effect size (ε 2 ) was approximately 0.35.
There was a highly significant correlation between the planned pitch and the deviation in pitch ( p < 0.001; correlation coefficient 0.489), planned right/left, and difference right/left ( p < 0.001; correlation coefficient 0.335) as well as planned back/front to difference back/front ( p < 0.001; correlation coefficient 0.345). 4.
Using Bonferroni correction, we identified a significant trend between the 12 h period and 1 h period ( p ≤ 0.001) and between the 6 h period and the 1 h period ( p = 0.023).
Results: There is a highly significant correlation ( p < 0.001) between cerebral blood flow, cerebral vascular expansion volume and venous drainage distribution.
The difference in gender distribution among the examined groups was statistically highly significant ( p < 0.001)— Table 1 .
For our a priori primary endpoint, the RI, the LMM analysis revealed a highly significant modality effect ( p < 0.001).