Barely Significant

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borderline significantp = 0.79916.0× alphagold
The most significant differences among the different centers include the age of the patients ( p = 0.009), the sites of infection ( p < 0.001), and the proportion of ICU admissions for medical or surgical pathology ( p = 0.058), with a borderline significant value, whereas the severity of the cases did not differ among the centers ( p = 0.799); the lack of precise enrollment criteria likely accounted for these variations.
A general linear model ( Figure 3 ) to analyze the association between the lung function parameters (percentage of predicted FEV 1 , percentage of predicted FVC, percentage of predicted FEV 1 /FVC, percentage of predicted FEF25-75, and post-FEV 1 /FVC) and CXR severity scoring showed that with increases in CXR severity scoring, lung functions followed a decreasing trend, which is statistically significant.
Significant differences in the frequency of AEFI, depending on the vaccine type were identified, with an overall trend showing a reduction in adverse events with subsequent doses, especially in the case of the Moderna vaccine. mRNA vaccines, such as Moderna and Pfizer, represent a new generation of vaccine technology, which may explain the slower adaptation of the body, particularly after the initial dose.
The results of this comparison showed that the patients with worse CAT but better ACT scores (n = 28, 71.8% of discordant) had significantly higher body mass indexes (BMIs), lower COTE comorbidity indexes and better FEV1/FVC ratios and also showed a trend towards younger age and better FEV1 scores (mL) compared with those with good CAT but poor ACT scores ( Table 5 ). 4.