## 3 Results
\begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**Biological Parameters** & **Wilks\({}^{*}\)-Lambda** & **Partial\({}^{*}\)-Lambda** & **F** & \(p\) & **Tolerance** & **1-Tolerance (R-Square)** \\ \hline \hline Ferritin at admission & 0.019 & 0.998 & 0.034 & 0.966 & 0.294 & 0.706 \\ \hline \hline Ferritin at discharge & 0.021 & 0.920 & 1.259 & 0.299 & 0.543 & 0.457 \\ \hline IL-6 at admission & 0.050 & 0.380 & 23.615 & 0.001 & 0.313 & 0.687 \\ \hline IL-6 at discharge & 0.021 & 0.899 & 1.632 & 0.213 & 0.500 & 0.500 \\ \hline CRP at admission & 0.021 & 0.929 Figure 1 shows the classes by representing the individual scores of the subjects investigated during the main discriminating functions. Scatterplot of canonical scores, expressing clinical and biological variables (independent variable) against the type of physiotherapy performed (grouping variable): mild physiotherapy, active physiotherapy, and no physiotherapy patients. In case of Figure 1, Root 1 and Root 2 represent the discriminant functions Function 1 and Function 2, respectively, corresponding to Table 4 with standardized coefficients for canonical variables generated in discriminant analysis. In terms of the efficacy of the two physiotherapeutic procedures, the performed nonparametric statistical tests showed that the analyzed data were not normally distributed (\(p<0.05\)) with the Spearman correlation coefficients revealing statistical significance between the investigated parameters of r = 0.30-0.91 (\(p<0.05\)). Statistically significant correlations were found between the groups of patients undergoing mild vs. active PT \begin{table}
\begin{tabular}{l c c} \hline \hline
**Variables** & \multicolumn{2}{c}{**Standardized Coefficients for Canonical Variables**} \\ \hline  & **Function 1 (Root 1)** & **Function 2 (Root 2)** \\ \hline IL-6 at admission & \(-0.550\) & \(0.918\) \\ \hline Ferritin at discharge & \(-0.526\) & \(0.731\) \\ \hline Dyspnea at discharge & \(-0.983\) & \(-0.320\) \\ \hline CRP at discharge & \(-0.680\) & \(-1.071\) \\ \hline Oxygen saturation at admission & \(0.935\) & \(0.457\) \\ \hline CRP at admission & \(0.741\) & \(0.064\) \\ \hline Ferritin at admission & \(0.564\) & \(-0.266\) \\ \hline Pulse at discharge & \(-0.336\) & \(0.290\) \\ \hline IL-6 at discharge & \(-0.365\) & \(-0.147\) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Standardized coefficients for canonical variables generated in discriminant analysis. Figure 1: Scatterplot of canonical scores, expressing clinical and biological variables in mild physiotherapy, active physiotherapy, and no physiotherapy patients. parameters evaluated at discharge for cough (r = 0.50; \(p<0.05\)), dyspnea (r = 0.39; \(p<0.05\)), oxygen saturation (r = 0.59; \(p<0.05\)), pulse (r = 0.44; \(p<0.05\)), CRP (r = 0.35; \(p<0.05\)), and IL-6 (r = 0.40; \(p<0.05\)) (Figure 2). The statistical results showed statistically significant differences between the groups of patients undergoing mild vs. active PT for IL-6 at admission (\(p<0.01\)), IL-6 at discharge (\(p<0.02\)), CRP at discharge (\(p<0.04\)), pulse on admission (\(p<0.02\)), dry cough on discharge (\(p<0.003\)), and dyspnea on discharge (\(p<0.009\)) (Table 5). Figure 2: Spearman correlations plot between biological parameters in patients with SARS-CoV-2 infection who participated in mild physiotherapy versus active physiotherapy. The factorial analysis applied to the investigated data exhibit the contribution of three distinct factors (Figure 3). The first factor represents 38% of the total variation of the data set and is represented by dry cough on discharge, dyspnea on discharge, and mild physiotherapy. This is supported by the data shown in Table 1, which points out that 66% of the patients had dyspnea on admission and 53% had a dry cough. Only 11% of the patients who performed one of the two forms of physiotherapy displayed persistent dry cough and dyspnea at discharge.