## 3 Results
### Correlation between MCV, RDW, MPV, PDW, and Triple Vessel Disease  
Within our study, apart from the direct correlation between RDW and the need for surgical revascularization, we also demonstrated a significant relationship between RDW and triple vessel disease. However, despite this association, we did not demonstrate a reliable relationship between MCV, MPV, PDW, and triple vessel disease (Table 9).  
All three graphics displayed below show that patients with NSTEMI and triple vessel disease tend to have a higher RDW (more precisely--above 14) than those without triple vessel disease (Figure 12).  
Figure 13 displays the relationship between RDW and the probability of having triple vessel disease.  
The logistic regression analysis suggests that as the RDW value increases, there is a tendency for the likelihood of patients being diagnosed with triple vessel disease to also increase. For instance, individuals who had an RDW level of 17% showed a 62% chance of being diagnosed with triple vessel disease, whereas those with an RDW value of 12% had a 20% likelihood of having triple vessel disease.  
Figure 11: ROC curve for predicting the indication for surgical revascularization based on the RDW value. The figure is an original contribution by the authors.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Dependent Variable** & **r Squared** & **Independent Variable** & **Coefficient** &
\begin{tabular}{c} \(p\) \\ **Value** \\ \end{tabular} \\ \hline Triple vessel disease & 0.02386 & PDW & 0.6016 & 0.182 \\ \hline Triple vessel disease & 5.301x10\({}^{5}\) & MPV & \(-\)0.0155 & 0.935 \\ \hline Triple vessel disease & 0.000222 & MCV & 0.006 & 0.867 \\ \hline Triple vessel disease & 0.03549 & RDW & 0.3729 & 0.04 \\ \hline \hline \end{tabular} The table is an original contribution by the authors.  
\end{table}
Table 9: Correlation between MCV, RDW, MPV, PDW, and triple vessel disease.  
To determine the threshold RDW value beyond which there is a high risk of having triple vessel disease, we utilized the ROC curve. Hence, the critical value was found to be 17% (Figure 14).  
Looking at the logistic regression analysis, the calculated parameters outlined in Table 10 allow us to establish the likelihood of being diagnosed with triple vessel disease according to the RDW value.  
Figure 12: RDW value in patients with NSTEMI and triple vessel disease vs. without triple vessel disease. The diamond symbol means an aberrant value. The colors represent different values. The figure is an original contribution by the authors.  
Figure 13: Likelihood of individuals having triple vessel disease derived from RDW values using a logistic regression model. The figure is an original contribution by the authors.  
This method utilizes the maximum likelihood estimation (MLE) to calculate the coefficients of the model.  
The estimated model is the following: score (representing the likelihood of having triple vessel disease) = \(-\)5.8627 + 0.3729 \(\times\) RDW value. Using this model, let us envision a patient with an RDW value of 17%. The score would be =0.4766. The probability would be 0.615, indicating a 61.5% chance that this patient has triple vessel disease.