## 3 Results
### Correlation between MCV, RDW, MPV, PDW, and KILLIIP Class III-IV in NSTEMI Patients
#### 3.2.2 Correlation between MPV and Killip Class III/IV
\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 Recommendation & 0.06658 & RDW & 0.5142 & 0.008 \\ for surgical revascularization & & & & \\ \hline Recommendation & 0.04002 & PDW & 0.7871 & 0.099 \\ for surgical revascularization & & & & \\ \hline Recommendation & 0.009748 & MPV & 0.2122 & 0.292 \\ for surgical revascularization & & & & \\ \hline Recommendation & 0.002408 & MCV & \(-\)0.0199 & 0.596 \\ for surgical revascularization & & & & \\ \hline \hline \end{tabular}  
The table is an original contribution by the authors.  
\end{table} 
Table 7: Correlation between MCV, RDW, MPV, PDW, and indication for surgical revascularization. Figure 9: RDW value in patients with NSTEMI and necessity of surgical revascularization vs. patients without necessity of surgical revascularization. The diamond symbol means an aberrant value. The colors represent different values. \({}^{\star}\) The figure is an original contribution by the authors. This model allows us to estimate the likelihood of a patient with NSTEMI and a certain RDW value needing surgical revascularization. In this scenario, the model operates as follows: the rating for the requirement of surgical revascularization is determined by the formula \(-8.2315+0.5142\times\) RDW value. Let us consider an NSTEMI patient with an RDW value of 17%. By plugging this value into the equation, the score for this patient is calculated as 0.5099. Therefore, the probability that an NSTEMI patient with an RDW value of 17 would need surgical revascularization is 0.624, indicating a 62.4% chance of the event (necessitating surgical revascularization) occurring. Figure 10 outlines the relationship between an RDW value and the necessity of surgical revascularization. According to the logistic regression, as the RDW value increases, the likelihood of an individual needing surgical revascularization also increases. For example, individuals with an RDW of 17% had a 60% chance of needing surgical revascularization. To establish the cut-off value of RDW beyond which there is a high risk of necessitating surgical revascularization, we used the ROC curve. Thus, the identified threshold value was determined to be 16% (Figure 11). Therefore, starting from the arguments presented above, it can be affirmed that the RDW value can be indicative of the likelihood of requiring surgical revascularization in a patient with NSTEMI. Figure 10: Probability of patients receiving an indication for surgical revascularization based on RDW values by applying a logistic regression model. The figure is an original contribution by the authors. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Measured** **Variable:**} & \multicolumn{3}{c}{**Indication No. Observations: 97**} & \multicolumn{3}{c}{} \\  & **For Surgical** & \multicolumn{3}{c}{} \\  & **Revascularization** & \multicolumn{3}{c}{} \\ \hline  & **Coefficient** & **Standard Error** & **Z** & **\(p>1\)**z**1 & **[0.025** & **0.975**]** \\ Intercept & \(-8.2315\) & \(2.784\) & \(-2.957\) & \(0.003\) & \(-13.687\) & \(-2.776\) \\ RDW & \(0.5142\) & \(0.194\) & \(2.656\) & \(0.008\) & \(0.135\) & \(0.894\) \\ \hline \hline \end{tabular} The table is an original contribution by the authors.  
\end{table} 
Table 8: Logistic regression applied to NSTEMI patients based on an RDW value.