Living donor type exhibited a highly significant ( p < 0.001) positive impact on the time to graft failure.
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The overall model was highly significant, F(3, 30) = 20.11, p < 0.001, explaining 63.5% of the variance in GPMC scores.
The difference in onset-to-first-medical-contact times between EMS and self-presenting patients was highly significant ( p < 0.001), as was the difference in door-to-needle times ( p < 0.001) Information on the use of intravenous thrombolysis (IVT) was available for 1451 of the 1805 patients (80.4%).
Bilateral gonial angles demonstrated strong symmetry, with a highly significant positive correlation (r = 0.795, 95% CI 0.695–0.864, p < 0.001).
Similarly, for the detection of non-growing rod systems, GPT-4o exhibited near-perfect sensitivity (M = 0.98, SE = 0.00), significantly surpassing BiomedClip (M = 0.23, SE = 0.02), as reflected in a highly significant statistical difference (z = 37.5, p < 0.001).
Remarkably, in the alcohol group, the percentage of good outcomes was 82%, a highly significant difference from the controls (36%; p < 0.001).
The number of memory lymphocytes was increased in all subgroups of patients, except for dying patients that showed a decreasing trend (mild: basal median 477 (range 192–718), 1 week median 618 (range 425–806) p < 0.001; moderate: basal median 354 (range 202–564), 1 week median 474 (range 346–651) p < 0.0001; severe: basal median 350 (range 214–509), 1 week median 534 (range 306–767) p = 0.02; died: basal median 333 (range 161–683), 1 week median 281 (range 130–534).
A strong temporal trend in prescribing was observed: the proportion of patients discharged on SAPT was 10.1% in the pre-2020 era (45 of 447) and 47.4% in the 2020–2023 era (102 of 215); the χ 2 test for the era-by-regimen association was highly significant (χ 2 (1) = 117.4, p < 0.001). 3.3.
Highly significant differences ( p < 0.001) were found in five categories: general COVID-19 information level (37.3% vs. 26.2%), concerns (24.1% vs. 12.2%), isolation (21.4% vs. 13.7%), uncertainty (21.2% vs. 8.5%), and prioritization (15.2% vs. 23.4%).
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.
We conducted further analysis only with aIAB that was highly significant ( p < 0.001) in the univariate regression analysis after Bonferroni correction.
reported remission of NAFLD in 56% of patients undergoing VSG, with a highly significant association between NAFLD remission and achieving greater than 50% excess weight loss (odds ratio 10.1, p < 0.001), further stressing the relationship between effective weight loss and liver disease resolution [ 38 ].
The Linear Mixed-Effects Model (LMM) analysis for longitudinal NRS data demonstrated a highly significant main effect for time ( p < 0.001).
Cox regression analyses showed that uEGF/Cr ratio is inversely associated with the risk of graft failure (HR 0.68 [95% CI 0.59‒0.78] per ng/mg) and this association is highly significant ( P < 0.001).
Results: There is a highly significant correlation ( p < 0.001) between cerebral blood flow, cerebral vascular expansion volume and venous drainage distribution.
Subsequently, the prognostic relevance of the three XBETA-based risk categories was assessed using Kaplan–Meier survival curves, which demonstrated a highly significant separation between groups (log-rank χ 2 = 102.441; p < 0.001) ( Figure 4 ).
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 ).
ACTH, morning serum cortisol, and DHEAS levels showed highly significant intergroup differences ( p < 0.001 for each), with marked elevations in the CD group ( Table 2 ).
This difference was highly significant (t = 11.994; p = 0.001), presenting a large effect size (d = 0.74), indicating that pain constitutes one of the primary factors compromising quality of life in the immediate post-trauma period.
The association of APRI, NFS, and FIB-4 scores with mortality in the elderly with COVID-19 was highly significant for all three scores ( p -value < 0.001).
Formal nested-model comparison confirmed this interpretation: adding ΔR(M–C) to a reduced model already containing Cobb_XR, TK_XR, and anthropometric covariates produced a highly significant improvement in model fit for FVC% (partial F = 103.0, p < 0.001; ΔAIC = −86.7), indicating substantial information gain rather than redundant variance.
There was also a significant trend towards lower UCT scores in patients receiving a higher number of current medications ( p < 0.001 for decreasing trend).
The Bath-BPD and Neurobehavioral questionnaires showed a highly significant correlation with the DASH ( r = 0.67 and 0.64, respectively, p < 0.001), whereas the correlations with the LEFS were not significant.
Statistically highly significant moderate negative correlations were seen for speech hearing with R = −0.41 ( p < 0.001), for spatial hearing with R = −0.45 ( p < 0.001), and for additional question 2 with R = −0.43 ( p < 0.001).
The transformation also altered the apparent significance of individual predictors: the ST/HR index, which appeared highly significant in untransformed models ( p < 0.001), lost significance after log transformation ( p = 0.501), whereas HRR at 1 min became significant ( p < 0.001).