## 3 Results
### Class II NYHA and Class III NYHA HF-MPV Relationship  
Compared to patients with class IV NYHA HF or acute pulmonary edema, in patients with class II NYHA HF, the data results were on the opposite side. Patients with class II NYHA HF (1) had a lower MPV value compared to those without class II NYHA HF (0). These data are presented in Figure 5, in which we can observe that patients with class II NYHA HF (1) tended to have a lower MPV value (below 9 fl) compared to those without class II NYHA HF (0). Figure 4: MPV value in patients with APE (APE 1) versus patients without APE (APE 0). Figure 5: MPV value in patients with class II NYHA HF (1) versus patients without class II NYHA HF (0). By applying the logistic regression model, the estimated coefficients for which are shown in Table 3, we were able to predict the probability of a patient having class II NYHA HF based on the MPV value. The model applied in this case was the following: score (of having class II NYHA HF) = 15.3987 \(-\) 1.9868 \(\times\) MPV. Starting from this model, let us assume that we have a patient with an MPV of 7 fl; applying the above-mentioned mathematical formula the score obtained for this patient is 1.4911 (=15.3987 \(-\) 1.9868 \(\times\) 7). To be able to interpret this result as a probability, we apply the following equation: \(\mathbf{p}=\frac{\mathbf{1}}{\mathbf{1}+\mathbf{c}^{\prime}\mathbf{c}^{\prime}}\). Thus, the probability of a patient with an MPV of 7 fl is 0.81, representing an 81% chance of having class II NYHA HF. The results obtained based on the above-mentioned mathematical formula are illustrated graphically in the figure below (Figure 6), in which we can observe that patients with a low MPV had a higher probability of having class II NYHA HF. The mathematical model applied to patients with class II NYHA HF in the study sample is statistically significant because the \(p\)-value associated with the coefficient for MPV (\(-\)1.9868) is 0.000. Thus, starting from the arguments above, it can be said that, based on the MPV value, we can predict the probability of having class II NYHA HF, and that the lower the value of MPV, the higher the chance that patients have class II NYHA HF. Similar results compared to patients with class II NYHA HF were also obtained in patients with class III NYHA HF who had lower MPV values compared to those without class  
Figure 6: Probability of patients having class II NYHA HF based on MPV value by applying the logistic regression model applied to the study sample. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Dep.** & **NYHA\_II\_HF** & \multicolumn{2}{c}{**No.**} & \multirow{2}{*}{**260**} & \multirow{2}{*}{**N**} & \multirow{2}{*}{**No.**} & \multirow{2}{*}{**O**} \\
**Variable:** & & & & & & \\ \hline Model: & Logit & Df Residuals: & 258 & & \\ Method: & MLE & Df Model: & 1 & & \\ Date: & Tue, 27 Jun & & Pseudo R-squ.: & 0.211 & & \\  & 2023 & & & & \\ Converged: & TRUE & LL-Null: & \(-\)109.9 & & & \\ \hline  & **coef** & std err & Z & \(p>\mid\!z\!\mid\) & [0.025 & 0.975] \\ \hline Intercept & 15.3987 & 2.972 & 5.182 & 0 & 9.574 & 21.223 \\ MPV & \(\mathbf{-1.9868}\) & 0.353 & \(-\)5.632 & \(\mathbf{0}\) & \(-\)2.678 & \(-\)1.295 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Logistic regression applied to patients with class II NYHA HF based on MPV value. III NYHA HF. These data are represented graphically in the figures below (Figures 7 and 8). For example, in all three graphical representations from Figure 7, we can observe that patients with class III NYHA HF (1) had MPV values below 9 fl compared to those without class III NYHA HF (0). By applying the logistic regression model, Figure 8 illustrates the probabilities of patients having class III NYHA HF based on the MPV value, showing that there was a tendency for the probability of patients having class III NYHA HF to increase as the MPV value decreased (patients with an MPV value of 7 fl had a 58% probability of having class III NYHA HF versus patients with an MPV value of 9 fl who had a probability of about 11%).