Excerpts

An increasing trend of admissions from the ER was observed during the COVID era (53.0% vs 65.5%) showing that the admission source was significant (p<0.001).

Table 3 shows that the linear regression analysis revealed a strong predictive model, with a coefficient of determination (R2) of 0.86 and a highly significant p-value (p<0.001).

This association was highly significant (p=0.001).

Results: In group A, 2% chlorhexidine gluconate showed a highly significant percentage reduction of colony-forming unit (CFU) count (p≤0.001) with respect to the time interval against C. albican, followed by metronidazole, babool, propolis, and saline, whereas in group B, propolis showed a significant percentage reduction of CFU count (p<0.001) with respect to time interval against E. faecalis, followed by 2% CHX, metronidazole, babool, and saline.

Paired t-tests demonstrated that reductions in TC and LDL-C were highly significant (TC: t = 12.47, p < 0.001; LDL-C: t = 10.29, p < 0.001), with corresponding 95% confidence intervals of 31.2-43.3 mg/dL and 19.8-28.6 mg/dL, respectively.

reported that total analgesic consumption over 24 hours was significantly lower in the dexmedetomidine group (142.50 ± 22.88 mg) compared to the magnesium group (197.50 ± 36.76 mg), with a highly significant difference (p < 0.001) [ 18 ].

The COMP and MMP-13 ELISA test showed that CW-LD and CW-HD were highly significant (p < 0.001) compared to the DC group.

After adjusting for covariates, the regression analysis showed a highly significant association (p value< 0.001) between unemployment and psychological distress (OR=1.55; 95% CI 1.03, 2.31), and alcohol consumption (OR=0.67; 95% CI 0.48, 0.92).

Gender played a vital role, with females exhibiting higher acceptance (n = 166) compared to males (n = 72), which was a highly significant difference (p < 0.001).

LVMI showed a trend toward reduction (MD = -19.15 g/m2; 95% CI: -41.98, 3.69; P<0.001).

Differences were considered statistically significant at p < 0.01 and highly significant at p < 0.001.

However, group B had more participants experiencing moderate pain compared to group A, with a highly significant difference (P < 0.001).

The statistical analysis demonstrated a highly significant difference (p-value <0.001), emphasising that patients with a reduced GCS are at higher risk of TBI, highlighting the importance of immediate neurological assessment in this population.

This association was highly significant (p < 0.001).

The one-way ANOVA showed a highly significant overall effect of group on fracture resistance, F(4,45) = 82.14, p<0.001, with very large effect sizes (η2=0.880, ω2=0.867, ε2=0.869; Cohen’s f=2.70).

Highly significant correlations were identified between ASIS angle and length from PT to LT ( r = 0.659; p < 0.001), LT angle and length from ASIS to PT ( r = 0.581; p < 0.001), and PT angle and distance between ASIS and LT ( r = 0.474, p = 0.001).

Similarly, girls reporting menstrual morbidities were more likely to experience moderate and severe anemia (45.5%) compared to those without morbidities (21.2%), a difference that was also highly significant (p < 0.001).

Statistical analysis revealed a highly significant association between HPE diagnosis and p57 expression levels (χ2 = 46.926, p < 0.001) (Table 2 ).

There was a highly significant association between age group and peritoneal carcinomatosis (p<0.001) and tuberculous peritonitis (p<0.001).

Both atorvastatin and atorvastatin with magnesium L-threonate substantially reduced the latency to reach SFZ to 12.83±2.15 seconds and 9.5±2.62 seconds, respectively, in the fourth week, demonstrating highly significant improvements (p<0.001) when compared to the model control group.

The mean reduction of 0.89 mg/dL (95% CI: 0.76 to 1.03) was also highly significant (t(238) = 12.991, p < 0.001).

The odds ratio of 3.703 (95% CI: 1.777, 7.715) underscored those females had approximately 3.7 times higher odds of not surviving compared to males, with this association highly significant (p-value < 0.001).

A highly significant association was found between functional limitations and RTS (p <0.001).

The test demonstrated a highly significant deviation between SKU proportions and cost proportions (p < 0.001), indicating that pharmaceutical expenditure is strongly concentrated in a very small number of items.

CD showed highly significant increases from 1-20 to both 21-40 and 41-60 years (p < 0.001), and a minor difference with 61-80 years (p = 0.01).