## 3 Results
### The Association between Depression Symptoms, and CRP with the Length of Postoperative Hospital Stay
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**CRP Measurements** & **Model** & **OR** & **95\% CI** & \(p\)**-Value** \\ \hline \hline \multirow{2}{*}{Baseline CRP} & Model 1 & 1.027 & 0.97–1.09 & 0.378 \\  & Model 2 & 1.043 & 0.98–1.11 & 0.192 \\  & Model 3 & 1.007 & 0.94–1.08 & 0.854 \\ \multirow{2}{*}{Early CRP Change (1–3 days follow-up)} & \multirow{2}{*}{Model 1} & \multirow{2}{*}{1.006} & \multirow{2}{*}{0.99–1.01} & \multirow{2}{*}{0.086} \\  & Model 2 & 1.009 & 1.00–1.02 & 0.018 \\ \multirow{2}{*}{Persistent CRP Change (4–6 days follow up)} & \multirow{2}{*}{Model 1} & \multirow{2}{*}{1.020} & \multirow{2}{*}{1.01–1.03} & \multirow{2}{*}{<0.001 *} \\  & Model 3 & 1.024 & 1.01–1.04 & \textless{}0.001 * \\ \multirow{2}{*}{Model 3} & Model 3 & 1.017 & 1.01–1.03 & 0.005 * \\ \hline \hline \end{tabular} Model 1—non-adjusted, Model 2—age and gender-adjusted, and Model 3—adjusted by current smoking status, EuroSCORE-II, preoperative hemoglobin levels, use of \(\beta\)-blockers, evaluation/ventilation time, and postoperative atrial fibrillation. OR, odds ratio, CI, confidence interval*; \"Significant \(p\) values (<\(\mathrm{Pc}\)). Bonferroni correction for Model 3 of binary logistic regression analysis \(\mathrm{Pc}=0.007\) (0.05/7 – number of model comparisons).  
\end{table} 
Table 5: Predictive role of early and persistent C-reactive protein levels on the postoperative in-hospital length of stay. other significant predictors in this model. The baseline CRP levels, and early CRP response were non-significant predictors of postoperative hospital LOS in the fully adjusted model (Model 3) of binary logistic regression. In addition, current smoking (OR = 0.21, 95% CI = 0.08-0.55, \(p\) = 0.002) and the use of \(\beta\)-blockers (OR = 0.22, 95% CI = 0.08-0.65, \(p\) = 0.006) were proven as the only significant predictor of postoperative hospital LOS in Model 3 of binary logistic regression analyzing the impact of baseline CRP levels. In addition, current smoking (OR = 0.22, 95% CI = 0.09-0.60, \(p\) = 0.003) was also a significant predictor of postoperative hospital LOS in Model 3 of binary logistic regression related to early CRP changes. Interestingly, in the age (OR = 1.08, CI = 1.04-1.13, \(p\) < 0.001) and gender adjusted model for the predictive role of persistent CRP change on the length of stay, female patients had more than three times (OR = 3.20; CI = 1.38-7.39, \(p\) = 0.007) greater odds for prolonged length of stay. Age was also the only predictive factor in the age and gender adjusted model for predictive role of baseline (OR = 1.08; CI = 1.04-1.13, \(p\) < 0.001) and early CRP change (OR = 1.09; CI = 1.04-1.13, \(p\) < 0.001) on the postoperative length of stay. Interestingly, when the gender groups of our patient cohort were analyzed separately (data not shown), the baseline CRP levels and early CRP response were also non-significant predictors of postoperative hospital LOS in the fully adjusted model (Model 3) of binary logistic regression, while for every unit increase in CRP levels, there was a significant 1.6% increase in the odds of prolonged hospital LOS (\(p\) = 0.009). On the contrary, in the female subgroup of our cohort, all three measured CRP values (baseline, early and persistent) were non-significant predictors of postoperative LOS in the fully adjusted Model 3 of binary logistic regression analysis.