3. Results
Table 1 shows the demographic data for the ventilated and non-ventilated groups. Age, height, weight, and BMI were consistent between groups. There were 21 females and 43 males (n = 64) in the non-ventilated group, and 18 females and 41 males (n = 59) in the ventilated group. A statistically significant difference in sex distribution was not observed between groups (chi-square,
p = 0.936).
Following detailed data analysis, the two groups of cardiac surgery patients were compared during the perioperative period. Careful comparison revealed statistically significant differences in gas exchange immediately after surgery in patients admitted within 5–10 min to the ICU. All patients in the ICU were supported with BiPAP ventilatory support. The non-ventilation group exhibited higher arterial PaCO
2 levels in the ICU (mean 44.38 mmHg) compared with the ventilated group (mean 40.56 mmHg;
p = 0.0262). Similarly, postoperative PaO
2 values were lower in the non-ventilated group (mean 127.8 mmHg) than in the ventilated group (mean 144.3 mmHg;
p = 0.0436). The P/F ratio, a marker of oxygenation efficiency, was reduced by 14% in the non-ventilated group (291.7) compared with the ventilated group (339.2;
p = 0.0276).
Table 2 represents the means of statistically different parameters between groups.
However, at the 24 h postoperative mark, these differences were largely resolved. PaCO
2 levels remained slightly higher in the stop ventilation group (44.0 vs. 42.1 mmHg;
p = 0.054), but PaO
2, SaO
2, and P/F ratios were comparable between groups (all
p > 0.1). Postoperative gas exchange parameters analyzed in the ICU after 24 h are represented in
Table 3. A 24 h postoperative gas exchange check point was registered according to the department’s protocol in postoperative patient management.
Further comparison of the P/F ratio at three perioperative time points showed statistically significant changes in the parameter within each group. Perioperative time points were registered per the department’s protocol in perioperative patient management. At the initiation of anesthesia, both groups exhibited similar P/F ratio values. However, immediately following surgery, the group with continued ventilation demonstrated significantly higher oxygenation, as evidenced by a statistically significant difference in P/F ratios. After 24 h, the P/F values converged again, showing no significant difference between groups.
Table 4 and
Figure 1 below illustrate the distribution of P/F values across the three perioperative time points for both the ventilated and non-ventilated groups.
Minute ventilation (MV) values were comparable between the ventilated and non-ventilated groups at induction and by the completion of the surgery (5.71 vs. 5.75, 6.17 vs. 6.04). Minute ventilation at the end of the surgery was registered in the ICU within 5–10 min after transportation from the surgery unit. In the ventilated group, MV values were higher at surgery completion, indicating the need for more ventilatory support (6.17 vs. 5.71,
p = 0.012). The situation was similar in the non-ventilated group, although the increase in postoperative ventilatory support was borderline significant (5.75 vs. 6.04,
p = 0.057).
Table 5 demonstrates the abovementioned parameters.
Next, the PaCO2/MV index, used as an indicator of ventilatory efficiency, showed no significant difference before CPB in non-ventilated and ventilated groups respectively (7.95 vs. 7.13; p = 0.439), but was slightly elevated after CPB in the non-ventilated group (7.44 vs. 6.79; p = 0.059), suggesting a trend towards reduced CO2 elimination efficiency.
This borderline
p-value may suggest that statistical significance could be achieved with a larger sample size.
Figure 2 and
Figure 3 compare the PaCO
2/MV index before and after CPB and the PaCO
2/MV index in the ICU after the surgery for each group, respectively.
The distribution of the PaCO
2/MV index across age groups showed considerable overlap between the non-ventilated and ventilated groups, suggesting similar patterns. In both groups, an upward trend was observed, with values increasing from younger ages towards 40–50 years, especially in the non-ventilated group, then stabilizing or slightly decreasing towards the older age groups.
Figure 4 demonstrates these trends.
The distribution of the PaCO
2/MV index across age groups showed considerable overlap between the non-ventilated and ventilated groups, suggesting similar patterns. In both groups, an upward trend was observed, with values increasing from younger ages towards 40–50 years, especially in the non-ventilated group, then stabilizing or slightly decreasing towards the older age groups.
Figure 4 demonstrates these trends.
The Kruskal–Wallis test showed that median PaCO
2/MV values differed significantly across age groups (<30, 30–40, 40–50, 50–60, 60–70, 70–80, >80 years;
p = 0.033).
Table 6 shows the number of patients in each age group for the ventilated and non-ventilated groups.
Because the mode of ventilation did not result in statistically significant differences in PCO2/MV in the ICU, we combined the data to explore the correlation pattern between age and PCO2/MV. The combined data showed a U-shaped or curved relationship with PCO2/MV after surgery, with higher values observed in middle-aged patients and lower values towards extremes.
A quadratic regression model showed a linear correlation between age and PCO
2/MV by 50 years of age (≈49.7 years), with a predicted peak maximum value of 7.5 (β = +0.20,
p = 0.046). At older ages, the slope became negative, creating a curved decline (β = −0.002,
p = 0.028). Although the linear terms of the curved correlation trend are statistically significant, the overall fitness of the model explains only 5% of the variation in PCO
2/MV (R
2 ≈ 0.051), representing a weak correlation.
Figure 5 demonstrates this quadratic regression.
Postoperative PaCO
2/MV also showed a slight correlation with patient BMI—the higher the BMI, the higher the index (
Figure 6)—correlating with theoretical expectations of an increase in atelectasis formation with greater weight. Correlation analysis between BMI and PCO
2/MV showed a positive correlation coefficient of r = 0.296,
p = 0.023 in the ventilation group. Although the correlation coefficient remained positive (r = 0.203;
p = 0.107) in the non-ventilated group, it was not statistically significant.
Post-extubation chest X-rays revealed no statistically significant difference in atelectasis incidence: eight cases in the non-ventilated group vs. seven cases in the ventilated group. At 24 h, three new cases of atelectasis were detected in the stop ventilation group, while the no stop ventilation group had none, although this difference was not statistically significant.
Table 7 represents the X-ray findings at both postoperative periods. X-ray findings in the ICU (postoperatively, during 5–10 min) and at a 24 h postoperative mark were captured according to the department’s protocol of postoperative patient management.
The mean value of the stop ventilation time observed in the non-ventilated group was 48.52 ± 38.81 min. Correlation analyses showed that the stop ventilation time in the non-ventilated group was moderately associated with longer cross-clamp and CPB times (r ≈ 0.47 and 0.41, respectively). Interestingly, CPB time in the non-ventilated group was higher compared with the ventilated group (108.89 vs. 90.05 min,
p = 0.033).
Table 8 contains the CPB and cross-clamp times for both groups. No correlation was found between stop ventilation time and LOS in the ICU, incidence of postoperative pulmonary complications, or PaCO
2/MV in the ICU.
Figure 7.
No correlation observed between PaCO2/MV in ICU and stop ventilation time in non-ventilated group. Pearson correlation, r = 0.005, p = 0.968. The regression line is almost flat, supporting the absence of an association.
Figure 7.
No correlation observed between PaCO2/MV in ICU and stop ventilation time in non-ventilated group. Pearson correlation, r = 0.005, p = 0.968. The regression line is almost flat, supporting the absence of an association.
Mechanical ventilation time was counted from arrival in the ICU until extubation. Mechanical ventilation time was comparable between the ventilated and non-ventilated groups (6.25 vs. 6.75, p = 0.677). In the non-ventilated group, mechanical ventilation time showed a weak and possibly borderline significant association with PaCO2/MV after surgery (Pearson r = 0.24, p = 0.061). No such association was noted for the ventilated group.
Figure 8.
Mechanical ventilation time and PaCO2/MV in ICU association across ventilation mode.
Figure 8.
Mechanical ventilation time and PaCO2/MV in ICU association across ventilation mode.
Other parameters that were compared between the ventilated and non-ventilated groups did not show substantial discrepancies. There were no significant differences in LOS in the ICU (mean 2.8 days vs. 2.33 days
p = 0.345), mortality (mean 0.017 vs. 0.019,
p = 0.96), or postoperative (mean 1.93 vs. 1.95,
p = 0.967) and 24 h lactate levels (mean 1.76 vs. 1.88,
p = 0.564527).
Table 8 demonstrates the values of the compared parameters.
Of note, it was observed that the rate of re-exploration in the non-ventilated group was four times higher than in the ventilated group. In addition, cases with moderate and mild bleeding were more frequent in the stop ventilation group (
Table 9 and
Table 10).