Postoperative Changes in Pulmonary Function after Valve Surgery: Oxygenation Index Early after Cardiopulmonary Is a Predictor of Postoperative Course
by
,
Tomohiro Murata
1, 
Motohiro Maeda
1,
Ryosuke Amitani
1,
Atsushi Hiromoto
1,
Makoto Shirakawa
1,
Masaru Kambe
2,
Yuji Maruyama
1 and
Hajime Imura
2,* 1
Department of Cardiovascular Surgery, Nippon Medical School Musashikosugi Hospital, Kawasaki 211-8533, Japan
2
Tokyo Heart Center Osaki Hospital, 5-4-12 Kitashinagawa, Shinagawa-ku, Tokyo 141-0001, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(15), 3262; https://doi.org/10.3390/jcm10153262
Submission received: 28 June 2021
/
Revised: 16 July 2021
/
Accepted: 22 July 2021
/
Published: 23 July 2021
(This article belongs to the Special Issue New Perspectives in Cardiovascular Surgery)
Abstract
:Objective: To determine pulmonary functional changes that predict early clinical outcomes in valve surgery requiring long cardiopulmonary bypass (CPB). Methods: This retrospective study included 225 consecutive non-emergency valve surgeries with fast-track cardiac anesthesia between January 2014 and March 2020. Blood gas analyses before and 0, 2, 4, 8, and 14 h after CPB were investigated. Results: Median age and EuroSCORE II were 71.0 years (25–75 percentile: 59.5–77.0) and 2.46 (1.44–5.01). Patients underwent 96 aortic, 106 mitral, and 23 combined valve surgeries. The median CPB time was 151 min (122–193). PaO2/FiO2 and AaDO2/PaO2 significantly deteriorated two hours, but not immediately, after CPB (both p < 0.0001). Decreased PaO2/FiO2 and AaDO2/PaO2 were correlated with ventilation time (r2 = 0.318 and 0.435) and intensive care unit (ICU) (r2 = 0.172 and 0.267) and hospital stays (r2 = 0.164 and 0.209). Early and delayed extubations (<6 and >24 h) were predicted by PaO2/FiO2 (377.2 and 213.1) and AaDO2/PaO2 (0.683 and 1.680), measured two hours after CPB with acceptable sensitivity and specificity (0.700–0.911 and 0.677–0.859). Conclusions: PaO2/FiO2 and AaDO2/PaO2 two hours after CPB were correlated with ventilation time and lengths of ICU and hospital stays. These parameters suitably predicted early and delayed extubations.
1. Introduction
Impaired pulmonary gas exchange is a common complication after cardiopulmonary bypass (CPB) [1,2]. The impaired gas exchange lasts for several days after surgery with only modest improvements [3], and patients are weaned from mechanical ventilation under such conditions. On the other hand, fast-track anesthesia is now widely used and the benefits of early extubation are well-recognized in cardiac surgery [4,5]. In current practice, early extubation is attempted even for patients undergoing complex procedures. In such circumstances, assessments of post-CPB pulmonary function are essential for prediction of the postoperative course.
PaO2/FiO2 (PFR) is the ratio of arterial oxygen tension (PaO2) to the fraction of inspired oxygen (FiO2). PFR is frequently used as an indicator of pulmonary function; post-CPB lung injury (PCLI) is usually defined as a PFR of less than 300 [6,7]. Patients with PCLI have unfavorable postoperative outcomes in cardiac surgery [2,8]. Moreover, a recent study showed that a prolonged duration of mechanical ventilation (DMV) decreases mid-term survival rates in coronary artery bypass grafting (CABG) [9]. Thus, PCLI may be a key target for improving clinical outcomes in cardiac surgery. However, few studies have investigated how pulmonary dysfunction after CPB influences the postoperative course.
In general, complex valve surgery requires longer CPB than CABG, and may be associated with prolonged DMV [10,11]. We recently demonstrated that the early extubation rate was lower after valve surgery (approximately 44%) compared with the early extubation rate after relatively simple valve surgery and CABG [12]. CPB times for our valve surgeries were longer than the CPB times in previous studies [13]; therefore, pulmonary dysfunction after CPB might contribute to prolonged DMV. In fact, CPB time was an independent predictor of prolonged DMV in several previous studies [10,11].
During the last decade, we adopted fast-track cardiac anesthesia aimed at early extubation, even for patients undergoing complex valve surgery requiring long CPB times. In the present study, we hypothesized that PCLI significantly influences the postoperative course after current valve surgery and pulmonary function within a few hours after CPB predicts postoperative outcomes. This study provides new insights regarding post-CPB pulmonary function to improve perioperative management in cardiac surgery.
2. Patients and Methods
2.1. Study Approval and Patients
This retrospective study was approved by the institutional ethics committee and a waiver of consent was obtained. This study included 225 consecutive patients who underwent non-emergency aortic and/or mitral valve surgeries in our hospital between January 2014 and March 2020. All surgeries began in the morning. Fast-track anesthesia aimed at early extubation was employed by a single team in the perioperative period.
2.2. Anesthesia and Surgical Technique
Our standard anesthesia included midazolam (50–100 μg/kg), fentanyl (2–4 μg/kg), and rocuronium bromide (0.6 mg/kg) for induction of anesthesia. Continuous venous infusion of remifentanyl (0.2 μg/kg/minute), propofol (1–3 μg/mL of target-controlled infusion), and rocuronium bromide (7 μg/kg/minute) was used for the maintenance of anesthesia during surgery. Fentanyl (total of 10–20 mg) was added before sternotomy and closure of the chest.
All surgeries were performed through a median sternotomy and CPB was established with the ascending aorta and bicaval cannulations. Our standard protocol for CPB was as follows: (1) flow of 2.2–2.8 L/minute/body m2 and mean blood pressure of 50–70 mmHg; (2) rectal temperature of 36.0–37.0 °C; (3) urine flow of 1.5–2 mL/kg/h; (4) partial pressure of oxygen (PaO2) of 200–300 mmHg, carbon dioxide (PaCO2) of 35–45 mmHg, and pH of 7.35–7.45 under α-stat management; and (5) use of methylprednisolone, 30 mg/kg. Cardioplegic arrest was attained in all patients using antegrade and retrograde blood cardioplegia initially and every 30 min. Warm blood cardioplegia was used just before unclamping the aorta.
2.3. Ventilator Setting, Blood Gas Analyses, and Extubation Criteria
Mechanical ventilation was initiated immediately after the induction of anesthesia. The volume-control mode with the following settings was used: tidal volume, 7–10 mL/kg; respiration rate, 8–12/min; and FiO2, 0.4–0.6. Ventilator settings were changed to maintain PaO2 at ≥100 mmHg, partial CO2 pressure (PaCO2) at 35–45 mmHg, and pH at 7.35–7.45. The ventilator was stopped during CPB and restarted on weaning from CPB after full re-expansion of the lungs by several manual hyperinflations (peak pressure at 20–30 mmHg) and thorough intratracheal suctions. After CPB, the tidal volume and respiration rate were the same as described above until the first blood gas analysis (BGA) after CPB was available. After arrival in the intensive care unit (ICU), the ventilator was initiated with the same settings as in the surgical theater, and the patient was managed by the ICU doctors. BGA was performed at least 1–2 times an hour until extubation or within the first twelve hours. Patients were extubated when they met the following extubation criteria: (1) hemodynamic stability with reasonable urination and warm peripheral extremities; (2) PaO2 ≥ 75 mmHg and PaCO2 ≤ 50 mmHg with adequate spontaneous respiration under FiO2 ≤ 0.4 and end of expiratory pressure ≤ 5 cm H2O; (3) awake and able to respond to commands without new neurological symptoms; (4) no active bleeding with a reasonable change in hemoglobin and no requirement for volume replacement; and (5) no reasonable fear of re-intubation.
2.4. Data Collection and Statistical Analysis
All data were collected from medical records and deposited in the National Database system. BGA data before surgery and 0, 2, 4, 8, and 14 h after cessation of CPB were recorded. BGA was measured within 20 min of each time point.
Pulmonary function parameters were calculated as follows: PFR = PaO2/FiO2, alveolar–arterial oxygen gradient (AaDO2) = (760 − 47) × FiO2 − PaCO2/0.8 − PaO2, and respiratory index (RI) = AaDO2/PaO2 [14]. PCLI was defined as PFR < 300 measured 2 h after CPB cessation [2,6,7]. Extubation within 6 h after surgery was defined as early extubation, whereas DMV > 24 h was considered as prolonged.
Postoperative adverse events during the hospital stay included any death, heart failure requiring intravenous medical therapy (e.g., inotropes, carperitide, furosemide) beyond the fourth postoperative day, myocardial infarction, symptomatic stroke, acute renal failure requiring hemofiltration, major bleeding necessitating transfusion of red blood cell > 4 units and frozen fraction plasma > 4 units, sepsis, or major infection [4].
Differences between groups were evaluated using the Mann–Whitney U test for continuous variables and Fisher’s exact test for binary categorical variables. Univariate and multivariate logistic regression analyses were performed to identify predictors of prolonged DMV. The Hosmer–Lemeshow test was performed to evaluate the validity of the multivariate logistic regression model. The Pearson correlation coefficient was calculated to assess the relationship between pulmonary functions (PFR and RI) and postoperative course (DMV and length of ICU and hospital stay). Receiver operating characteristic (ROC) curves were used to evaluate the sensitivity and specificity for the effects of PFR and RI on DMV. All statistical analyses were performed using SPSS 25 J for Windows (IBM Corp., Armonk, NY, USA). A p-value < 0.05 was considered statistically significant for all analyses.
3. Results
3.1. Patient Characteristics and Perioperative Changes in Pulmonary Function
Baseline characteristics are shown in Table 1. PCLI was observed in 88 patients (39.1%). PCLI was common in males and patients with obesity, and chronic kidney disease. Patients with PCLI underwent more complicated and longer surgeries than patients without PCLI and had longer DMV and ICU and hospital stays (Table 2). During the observation period, no patient suffered from acute respiratory distress syndrome and no patients had steroid treatment.
Time-dependent changes in pulmonary functions are shown in Figure 1. PFR was significantly increased immediately after CPB in patients without PCLI, probably due to increased FiO2 (0.4; 0.4–0.6 vs. 1.0; 0.64–1.0, p < 0.0001, Supplementary Figure S1). The increased PFR was not observed in patients with PCLI, although FiO2 was similarly elevated (0.4; 0.4–0.48 vs. 1.0; 0.6–1.0, p < 0.0001, Supplementary Figure S1). Significant decreases in PFR were observed 2 h after CPB in patients with and without PCLI. PFR did not improve after 4 h. In contrast, RI consistently increased after CPB and patients with PCLI had consistently higher RI than patients without PCLI. PaCO2 levels in both groups were in a favorable range at each time point (Supplementary Figure S2). Between 4 and 14 h after CPB, patients with PCLI were ventilated under higher FiO2 compared to patients without PCLI (Supplementary Figure S1).
3.2. Univariate and Multivariate Analysis for Prolonged DMV
The univariate and multivariate analyses revealed that significant transfusion during surgery (p = 0.004, hazard ratio: 0.109, 95%CI: 0.024–0.449) and PCLI (p = 0.005, hazard ratio: 0.107, 95%CI: 0.023–0.506) were independent factors associated with prolonged DMV (Supplementary Table S1). The Hosmer–Lemeshow test confirmed the validity of this model (χ2 = 124.288 and p = 0.724).
3.3. Relationship between Post-CPB Pulmonary Function and Postoperative Course
As shown in Figure 2 and Figure 3, PFR and RI at two hours after CPB was correlated with postoperative DMV. PFR and RI also correlated with ICU and hospital stays. RI correlated better than PFR for each parameter (Table 3). Furthermore, the correlation coefficients for RI were higher when patients with adverse events were excluded (DMV: 0.517; ICU stay: 0.400; hospital stay: 0.220). As demonstrated in Table 3, 2 h after CPB, PFR and RI were correlated better with the postoperative course than at other time points.
3.4. ROC Analysis between Pulmonary Functions at Two Hours after CPB and DMV
PFR and RI 2 h after CPB were significant predictors of postoperative DMV (6, 12, 18, and 24 h) in the ROC analyses with an area under curve (AUC) between 0.772 and 0.853 (Figure 4 and Figure 5). The sensitivity and specificity were between 0.663 and 0.911 and 0.667 and 0.859, respectively. The predictive values of PFR and RI were almost equivalent (Figure 4 and Figure 5). PFR ≥ 354 (sensitivity: 0.80, specificity: 0.78) and RI ≤ 0.83 (sensitivity: 0.74, specificity: 0.82) predicted early extubation. PFR < 213 (sensitivity: 0.91, specificity: 0.67) and RI > 1.68 (sensitivity: 0.72, specificity: 0.86) also predicted prolonged DMV.
4. Discussion
The present study demonstrated that PCLI occurred frequently in current valve surgeries. Two hours after CPB, PFR and RI correlated well with postoperative parameters, such as DMV, ICU and hospital stays. RI correlated better than PFR in these analyses, but the predictive values (AUC) for DMV were similar. These correlations became stronger when patients with adverse events were excluded. Thus, this study shows, for the first time, that pulmonary function early after CPB is a useful predictor of postoperative course in current valve surgery.
Several previous studies have showed that CPB time is a significant predictor of DMV [10,11]; however, this was not confirmed in the present study. Our sub-analysis revealed that operation and CPB times were independent predictors of postoperative DMV (operation time: p = 0.007, CPB time: p = 0.032) only if PCLI was excluded from the analysis. Furthermore, CPB time was a strong predictor of PCLI (p = 0.022, hazard ratio 1.017, 95%CI: 1.002–1.031) in our sub-analysis. This is the first study to show that PCLI at two hours after CPB is a stronger predictor of postoperative course than CPB time.
PFR did not decrease immediately after CPB. PFR first decreased two hours after restarting mechanical ventilation and pulmonary perfusion. Although RI increased soon after CPB, major increases were observed in the next 2 h. Thus, impairment of pulmonary function peaked a few hours after CPB. This delay suggests that ischemia–reperfusion injury is a major cause of PCLI. Gasparovic et al. reported that pulmonary lactate release peaked 6 h after CPB and was correlated with AaDO2 [15]. Their study also demonstrated that pulmonary lactate release was intimately linked with the postoperative course. Another study revealed that PFR and RI were worse at 3–5 h after CPB than immediately after CPB; this changing pattern was similar even in patients with successful reductions in inflammatory lung injury by CPB [14]. These findings indicate that ischemia–reperfusion injury of the lungs is a major cause of post-CPB pulmonary dysfunction. This is in agreement with our previous study exploring ischemia–reperfusion injury in a pig model [16].
At 2 h after CPB, most patients were on a ventilator without spontaneous ventilation at similar FiO2 regardless of PCLI (Supplementary Table S1). We believe these relatively unified ventilation conditions helped reveal the correlation between PFR and RI 2 h after surgery. In fact, the ventilator conditions (FiO2 and spontaneous respiration rate) at 4 and 8 h were variable among patients with or without PCLI. On the other hand, pulmonary dysfunction did not occur immediately after CPB, and therefore, was not useful as a predictor. Weiss et al. reported that PFR 6 h after surgery was significantly correlated with postoperative DMV and length of hospital stay after CABG, whereas PFR at one and twelve hours was not correlated with postoperative DMV and length of hospital stay [17].
Patients with postoperative adverse events had significantly longer DMV (12.0; 6.0–17.0 vs. 26.0; 16.0–54.0, p < 0.0001). Interestingly, the postoperative adverse event rate was significantly higher in patients with PCLI than the adverse event rate in patients without PCLI. The increased adverse events may have contributed to the strong correlations of pulmonary function at 2 h with ICU and hospital stays. Several previous studies revealed that impaired gas exchange after CPB was linked to higher morbidities and mortality [2,8]. Thus, it is natural that PFR and RI are predictors of the postoperative course.
Patients with PCLI showed significant improvements in PFR and RI between two and four hours after CPB. No particular treatments for PCLI (such as steroids or hemofiltration) were used in this period; therefore, we believe that this improvement was mainly due to decreased atelectasis. Patients were already admitted into the ICU at this time, and patients with insufficient oxygenation underwent thorough physiotherapy. In previous studies, atelectasis was recognized as a major cause of pulmonary dysfunction in cardiac surgery [18,19]. Atelectasis was treated with simple physiotherapy [19] and the severity did not correlate with CPB time [20]. Even when pulmonary function improved during this period, pulmonary function was still significantly lower in patients with PCLI compared to patients without PCLI.
Pulmonary function did not improve significantly between four and fourteen hours. This result was consistent with previous studies in patients who underwent CABG [17] and aortic arch replacement [14]. Most patients, even those with PCLI, fulfilled the criteria for extubation, including a PFR ≥ 200 or even less [21]. Thus, continuing intubation was not due to pulmonary function. Our actual intubation rate was 45.4% at 8 h and 38.3% at 12 h, even in patients without postoperative adverse events. Nevertheless, PFR and RI at 2 h from CPB cessation were strong predictors of postoperative DMV. These findings indicate that PFR and RI two hours after CPB may be linked to cardiac performance, renal function, hemodynamic status, and other factors influencing extubation criteria. Further investigations are necessary to elucidate the relationships between post-CPB pulmonary function and extubation criteria.
Limitations of the Study
The present study had several limitations. Firstly, this was a retrospective study; therefore, blood samples were not always collected on time and the variation of measurement times might have affected the results. Secondly, perioperative management, including ventilator settings, was not the same in all patients, although we worked as one team under the same policy and strategy during the study period. Finally, all patients were ethnically Japanese and were treated by a single surgical team, which may have introduced ethnic and team-based biases.
5. Conclusions
PFR and RI at two hours after CPB were correlated with postoperative DMV and lengths of ICU and hospital stays. PFR ≥ 354 and RI ≤ 0.83 satisfactorily predicted early extubation, and PFR < 213 and RI > 1.68 predicted prolonged DMV. The management of patients with PCLI should be the next target to improve early outcomes in contemporary valve surgery.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/jcm10153262/s1, Figure S1: Time-dependent changes in FiO2, Figure S2: Time-dependent changes of PaCO2 in patients with and without post-cardiopulmonary 11 bypass lung injury (Panel A) and those with and without obesity (body mass index > 25) (Panel B), Table S1: Univariate and multivariate analyses for prolonged ventilation.
Author Contributions
T.M. and H.I. conceived the study and developed the study protocols. H.I. provided technical and administrative support. T.M. contributed to acquisition of data. T.M. and H.I. performed statistical analysis. T.M and H.I. interpreted the study results. T.M. drafted the manuscript. All authors contributed substantially to its revision. T.M. contributed as first authors. H.I. is the corresponding author and takes responsibility for the paper. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
This retrospective study was approved by the institutional ethics committee of Nippon Medical School Musashikosugi Hospital, Japan.
Informed Consent Statement
This study was a retrospective cohort study thus patient consent was waived.
Data Availability Statement
Data can be made available on request from established research groups with an appropriate data-sharing agreement. Please contact the corresponding author for data sharing.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Gao, W.; Li, N.; Jin, Z.-H.; Lv, X.-Q.; Cui, X.-G. Effect of preoperative inhaled budesonide on pulmonary injury after cardiopulmonary bypass: A randomized pilot study. J. Thorac. Cardiovasc. Surg. 2019, 157, 272–284. [Google Scholar] [CrossRef] [PubMed]
- Apostolakis, E.; Filos, K.S.; Koletsis, E.; Dougenis, D. Lung Dysfunction Following Cardiopulmonary Bypass. J. Card. Surg. 2010, 25, 47–55. [Google Scholar] [CrossRef]
- Taggart, D.P.; El-Fiky, M.; Carter, R.; Bowman, A.; Wheatley, D.J. Respiratory dysfunction after uncomplicated cardiopulmonary bypass. Ann. Thorac. Surg. 1993, 56, 1123–1128. [Google Scholar] [CrossRef]
- Zhu, F.; Lee, A.; Chee, Y.E. Fast-track cardiac care for adult cardiac surgical patients. Cochrane Database Syst. Rev. 2012, 10, CD003587. [Google Scholar]
- Wong, W.T.; Lai, V.K.; Chee, Y.E.; Lee, A. Fast-track cardiac care for adult cardiac surgical patients. Cochrane Database Syst. Rev. 2016, 9, CD003587. [Google Scholar] [CrossRef] [PubMed]
- Rhee, K.-Y.; Sung, T.-Y.; Kim, J.D.; Kang, H.; Mohamad, N.; Kim, T.-Y. High-dose ulinastatin improves postoperative oxygenation in patients undergoing aortic valve surgery with cardiopulmonary bypass: A retrospective study. J. Int. Med. Res. 2018, 46, 1238–1248. [Google Scholar] [CrossRef]
- Fan, E.; Brodie, D.; Slutsky, A. Acute respiratory distress syndrome advances in diagnosis and treatment. JAMA 2018, 319, 698–710. [Google Scholar] [CrossRef] [PubMed]
- García-Delgado, M.; Navarrete-Sánchez, I.; Colmenero, M. Preventing and managing perioperative pulmonary complications following cardiac surgery. Curr. Opin. Anaesthesiol. 2014, 27, 146–152. [Google Scholar] [CrossRef]
- Saleh, H.Z.; Shaw, M.; Al-Rawi, O.; Yates, J.; Pullan, M.; Chalmers, J.A.C.; Fabri, B.M. Outcomes and predictors of prolonged ventilation in patients undergoing elective coronary surgery. Interact. Cardiovasc. Thorac. Surg. 2012, 15, 51–56. [Google Scholar] [CrossRef] [Green Version]
- Cislaghi, F.; Condemi, A.M.; Corona, A. Predictors of prolonged mechanical ventilation in a cohort of 5123 cardiac surgical patients. Eur. J. Anesthesiol. 2009, 26, 396–403. [Google Scholar] [CrossRef] [PubMed]
- London, M.J.; Shroyer, A.L.; Coll, J.R.; Mawhinney, S.; Fullerton, D.A.; Hammermeister, K.E.; Grover, F.L. Early Extubation following Cardiac Surgery in a Veterans Population. Anesthesiology 1998, 88, 1447–1458. [Google Scholar] [CrossRef]
- Zhu, F.; Gomersall, C.D.; Ng, S.K.; Underwood, M.J.; Lee, A. A Randomized Controlled Trial of Adaptive Support Ventilation Mode to Wean Patients after Fast-track Cardiac Valvular Surgery. Anesthesiology 2015, 122, 832–840. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hiromoto, A.; Maeda, M.; Murata, T.; Shirakawa, M.; Okamoto, J.; Maruyama, Y.; Imura, H. Early extubation in current valve surgery requiring long cardiopulmonary bypass: Benefits and predictive value of preoperative spirometry. Heart Lung 2020, 49, 709–715. [Google Scholar] [CrossRef] [PubMed]
- Morimoto, N.; Morimoto, K.; Morimoto, Y.; Takahashi, H.; Asano, M.; Matsumori, M.; Okada, K.; Okita, Y. Sivelestat attenuates postoperative pulmonary dysfunction after total arch replacement under deep hypothermia. Eur. J. Cardio-Thoracic Surg. 2008, 34, 798–804. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gasparovic, H.; Plestina, S.; Sutlic, Z.; Husedzinovic, I.; Coric, V.; Ivancan, V.; Jelic, I. Pulmonary lactate release following cardiopulmonary bypass. Eur. J. Cardio-Thoracic Surg. 2007, 32, 882–887. [Google Scholar] [CrossRef] [Green Version]
- Imura, H.; Caputo, M.; Lim, K.; Ochi, M.; Suleiman, M.S.; Shimizu, K.; Angelini, G.D. Pulmonary injury after cardiopulmonary bypass: Beneficial effects of low-frequency mechanical ventilation. J. Thorac. Cardiovasc. Surg. 2009, 137, 1530–1537. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Weiss, Y.G.; Merin, G.; Koganov, E.; Ribo, A.; Oppenheim-Eden, A.; Medalion, B.; Peruanski, M.; Reider, E.; Bar-Ziv, J.; Hanson, W.C.; et al. Postcardiopulmonary bypass hypoxemia: A prospective study on incidence, risk factors, and clinical significance. J. Cardiothorac. Vasc. Anesth. 2000, 14, 506–513. [Google Scholar] [CrossRef]
- Huffmyer, J.L.; Groves, D.S. Pulmonary complications of cardiopulmonary bypass. Best Pr. Res. Clin. Anaesthesiol. 2015, 29, 163–175. [Google Scholar] [CrossRef]
- Magnusson, L.; Zemgulis, V.; Tenling, A.; Wernlund, J.; Tyden, H.; Thelin, S.; Hedenstierna, G. Use of a vital capacity maneuver to prevent atelectasis after cardiopulmonary bypass an experimental study. Anesthesiologists 1998, 88, 134–142. [Google Scholar] [CrossRef]
- Rodrigues, R.R.; Sawada, A.Y.; Rouby, J.J.; Fukuda, M.J.; Neves, F.H.; Carmona, M.J.; Pelosi, P.; Auler, J.O.; Malbouisson, L.M. Computed tomography assessment of lung structure in patients undergoing cardiac surgery with cardiopulmonary bypass. Braz. J. Med. Biol. Res. 2011, 44, 598–605. [Google Scholar] [CrossRef]
- Walthall, H.; Ray, S.R. Do any intraoperative variables have an effect on the timing of tracheal extubation after coronary artery bypass graft surgery? Heart Lung 2002, 31, 432–439. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Time-dependent changes in PaO2/FiO2 (PFR) and respiratory index (RI) in patients with and without post-cardiopulmonary bypass (CPB) lung injury (PCLI). (A) Time-dependent changes in PFR. PFR was significantly decreased after CPB in patients with PCLI. PFR was higher in patients without PCLI as compared to patients with PCLI throughout the observation period, except before surgery. PFRs at 4, 8, and 12 h after surgery and after extubation were significantly decreased compared with PFRs in the preoperative period. (B) Time-dependent changes in RI. RI was significantly increased after CPB in both groups. RI was always higher in patients with PCLI compared to RI in patients without PCLI. *1, p < 0.05 vs. before surgery; *2, p < 0.05 vs. before surgery; ★ p < 0.001 between patients with and without PCLI; ☆, p < 0.01 between patients with and without PCLI.
Figure 1.
Time-dependent changes in PaO2/FiO2 (PFR) and respiratory index (RI) in patients with and without post-cardiopulmonary bypass (CPB) lung injury (PCLI). (A) Time-dependent changes in PFR. PFR was significantly decreased after CPB in patients with PCLI. PFR was higher in patients without PCLI as compared to patients with PCLI throughout the observation period, except before surgery. PFRs at 4, 8, and 12 h after surgery and after extubation were significantly decreased compared with PFRs in the preoperative period. (B) Time-dependent changes in RI. RI was significantly increased after CPB in both groups. RI was always higher in patients with PCLI compared to RI in patients without PCLI. *1, p < 0.05 vs. before surgery; *2, p < 0.05 vs. before surgery; ★ p < 0.001 between patients with and without PCLI; ☆, p < 0.01 between patients with and without PCLI.
Figure 2.
Correlations between PaO2/FiO2 (PFR) and postoperative course. PFR is positively correlated with DMV (A), ICU stays (B), and hospital stays (C). DMV, duration of mechanical ventilation; ICU, intensive care unit.
Figure 2.
Correlations between PaO2/FiO2 (PFR) and postoperative course. PFR is positively correlated with DMV (A), ICU stays (B), and hospital stays (C). DMV, duration of mechanical ventilation; ICU, intensive care unit.
Figure 3.
Correlations between respiratory index (RI) and postoperative course. RI is positively correlated with DMV (A), ICU stays (B), and hospital stays (C). DMV, duration of mechanical ventilation; ICU, intensive care unit.
Figure 3.
Correlations between respiratory index (RI) and postoperative course. RI is positively correlated with DMV (A), ICU stays (B), and hospital stays (C). DMV, duration of mechanical ventilation; ICU, intensive care unit.
Figure 4.
Receiver operating characteristic (ROC) curves for PaO2/FiO2 (PFR) as a predictor of the duration of mechanical ventilation shorter than 6 h (A), 12 h (B), 18 h (C), and 24 h (D) are presented. (A) PFR > 377.2 showed the highest sensitivity (0.700) and specificity (0.774) with an area under the curve of 0.791. (B) PFR > 354.0 showed the highest sensitivity (0.663) and specificity (0.768) with an area under the curve of 0.772. (C) PFR > 265.4 showed the highest sensitivity (0.801) and specificity (0.754) with an area under the curve of 0.842. (D) PFR > 213.1 showed the highest sensitivity (0.911) and specificity (0.667) with an area under the curve of 0.846.
Figure 4.
Receiver operating characteristic (ROC) curves for PaO2/FiO2 (PFR) as a predictor of the duration of mechanical ventilation shorter than 6 h (A), 12 h (B), 18 h (C), and 24 h (D) are presented. (A) PFR > 377.2 showed the highest sensitivity (0.700) and specificity (0.774) with an area under the curve of 0.791. (B) PFR > 354.0 showed the highest sensitivity (0.663) and specificity (0.768) with an area under the curve of 0.772. (C) PFR > 265.4 showed the highest sensitivity (0.801) and specificity (0.754) with an area under the curve of 0.842. (D) PFR > 213.1 showed the highest sensitivity (0.911) and specificity (0.667) with an area under the curve of 0.846.
Figure 5.
Receiver operating characteristic (ROC) curves for the respiratory index as a predictor of the duration of mechanical ventilation shorter than 6 h (A), 12 h (B), 18 h (C), and 24 h (D) are presented. (A) RI < 0.683 showed the highest sensitivity (0.776) and specificity (0.714) with an area under the curve of 0.782. (B) RI < 0.895 showed the highest sensitivity (0.714) and specificity (0.723) with an area under the curve of 0.773. (C) RI < 1.320 showed the highest sensitivity (0.769) and specificity (0.804) with an area under the curve of 0.848. (D) RI < 1.680 showed the highest sensitivity (0.722) and specificity (0.859) with an area under the curve of 0.853.
Figure 5.
Receiver operating characteristic (ROC) curves for the respiratory index as a predictor of the duration of mechanical ventilation shorter than 6 h (A), 12 h (B), 18 h (C), and 24 h (D) are presented. (A) RI < 0.683 showed the highest sensitivity (0.776) and specificity (0.714) with an area under the curve of 0.782. (B) RI < 0.895 showed the highest sensitivity (0.714) and specificity (0.723) with an area under the curve of 0.773. (C) RI < 1.320 showed the highest sensitivity (0.769) and specificity (0.804) with an area under the curve of 0.848. (D) RI < 1.680 showed the highest sensitivity (0.722) and specificity (0.859) with an area under the curve of 0.853.
Table 1.
Baseline characteristics.
| Whole Cohort | PFR *7 ≥ 300 | PFR < 300 | p-Value *8 | |
|---|---|---|---|---|
| Number of patients | 225 | 137 | 88 | |
| Age (years) | 67.7 ± 13.16 | 66.6 ± 14.22 | 69.3 ± 11.20 | 0.299 |
| Octogenarian (%) | ||||
| Male (%) | 154 (68.4%) | 91 (66.4%) | 63 (71.6%) | 0.464 |
| Body mass index | 22.9 ± 3.99 | 22.3 ± 3.85 | 23.8 ± 4.07 | 0.017 |
| Previous smoking (%) | 119 (52.9%) | 67 (48.9%) | 52 (59.1%) | 0.171 |
| Current smoking (%) | 33 (14.7%) | 17 (12.4%) | 16 (18.2%) | 0.251 |
| Diabetes mellitus (%) | 52 (23.1%) | 25 (18.2%) | 27 (30.7%) | 0.036 |
| Hypertension (%) | 170 (75.6%) | 97 (70.8%) | 73 (83.0%) | 0.040 |
| Hyperlipidemia (%) | 135 (60.0%) | 78 (56.9%) | 57 (64.8%) | 0.266 |
| Hemodialysis (%) | 16 (7.1%) | 4 (2.9%) | 12 (13.6%) | 0.003 |
| eGFR *1 | 60.13 ± 26.20 | 65.07 ± 26.01 | 56.18 ± 27.53 | 0.039 |
| Previous stroke (%) | 29 (12.9%) | 13 (9.5%) | 16 (18.2%) | 0.068 |
| Hemoglobin (g/dL) | 12.7 ± 3.94 | 12.6 ± 1.96 | 12.9 ± 5.82 | 0.245 |
| Platelet (/mL) | 203.5 ± 83.64 | 208.8 ± 91.16 | 195.3 ± 69.99 | 0.472 |
| NYHA ≥ II (%) | 160 (71.1%) | 95 (69.3%) | 65 (73.8%) | 0.547 |
| Peripheral arterial disease | 12 (5.3%) | 4 (2.9%) | 8 (9.1%) | 0.066 |
| LVEF (%) | 62.5 ± 18.6 | 62.8 ± 14.20 | 62.0 ± 23.99 | 0.116 |
| Pulmonary hypertension *2 (%) | 47 (20.9%) | 25 (18.2%) | 22 (25.0%) | 0.242 |
| COPD *3 (%) | 67 (29.8%) | 38 (27.7%) | 29 (33.0%) | 0.455 |
| PO2 *4 (mmHg) | 85.9 ± 14.51 | 88.2 ± 14.11 | 82.2 ± 15.18 | 0.337 |
| PCO2 *4 (mmHg) | 39.0 ± 5.23 | 39.8 ± 5.18 | 37.8 ± 5.34 | 0.782 |
| %VC *5 | 86.4 ± 18.56 | 90.9 ± 18.47 | 79.4 ± 18.78 | 0.659 |
| FEV1% *6 | 88.2 ± 23.64 | 92.5 ± 23.77 | 81.4 ± 23.56 | 0.655 |
*1: Estimated glomerular filtration rate. *2: diagnosed in preoperative echo cardiogram or catheter examinations. *3: chronic obstructive pulmonary disease. *4: values are under room air atmosphere. *5: vital capacity/estimated vital capacity. *6: forced expiratory volume in one second/vital capacity. *7: PO2/FiO2 at 2 h after cardiopulmonary bypass. *8: p-value between PFR ≥ 300 and <300.
Table 2.
Intraoperative parameters and postoperative course.
| Whole Cohort | PFR ≥ 300 | PFR *9 < 300 | p-Value *10 | |
|---|---|---|---|---|
| (Type of operation) | ||||
| Mitral valve surgery | 96 (42.7%) | 68 (49.6%) | 28 (31.8%) | 0.009 |
| Aortic valve surgery | 106 (47.1%) | 64 (46.7%) | 42 (47.7%) | 0.892 |
| Mitral + Aortic valves | 23 (10.2%) | 5 (3.6%) | 18 (20.5%) | <0.001 |
| Additional procedures | 118 (52.4%) | 65 (47.4%) | 53 (60.2%) | 0.075 |
| Tricuspid repair | 47 (20.9%) | 34 (24.8%) | 13 (14.8%) | 0.092 |
| CABG *1 | 52 (23.1%) | 26 (19.0%) | 26 (29.5%) | 0.076 |
| Maze | 34 (15.1%) | 15 (10.9%) | 19 (21.6%) | 0.036 |
| Emergency | 15 (6.7%) | 5 (3.6%) | 10 (11.4%) | 0.003 |
| Re-sternotomy | 5 (2.2%) | 1 (1.1%) | 4 (2.9%) | 0.651 |
| (Intraoperative parameters) | ||||
| Operation time (min) | 305.3 ± 107.18 | 281.3 ± 89.4 | 342.7 ± 119.1 | <0.001 |
| CPB *2 time (min) | 166.1 ± 68.52 | 147.2 ± 50.4 | 195.4 ± 80.4 | <0.001 |
| ACC *3 time (min) | 101.7 ± 38.0 | 96.2 ± 33.4 | 110.4 ± 41.9 | <0.001 |
| Fentanyl | 17.4 ± 4.5 | 17.2 ± 4.8 | 17.7 ± 4.3 | 0.463 |
| RBC *4 transfusion (unit) | 99 (44.0%) | 50 (36.5%) | 49 (55.7%) | 0.003 |
| FFP *5 transfusion (unit) | 74 (32.9%) | 38 (27.7%) | 36 (40.9%) | 0.040 |
| Platelet transfusion (%) | 33 (14.7%) | 10 (7.3%) | 23 (26.1%) | <0.001 |
| Water balance (mL) | 2560 ± 2080 | 2148 ± 1655 | 3200 ± 2447 | <0.001 |
| lowest hemoglobin *6 | 6.8 ± 1.23 | 6.9 ± 1.27 | 6.6 ± 1.17 | 0.516 |
| (Postoperative parameters) | ||||
| Inotrope ≥ medium *7 | 44 (19.6%) | 24 (17.5%) | 20 (22.7%) | 0.305 |
| Transfusion *8 | 21 (9.3%) | 9 (6.6%) | 12 (13.6%) | 0.097 |
| Adverse events (%) | 41 (18.2%) | 16 (11.7%) | 25 (28.4%) | 0.001 |
| Ventilation time (h) | 18.9 ± 22.75 | 11.4 ± 7.9 | 30.5 ± 31.78 | <0.001 |
| ICU stay (days) | 3.2 ± 5.47 | 2.9 ± 6.62 | 3.6 ± 2.72 | <0.001 |
| Hospital stay (days) | 20.0 ± 17.47 | 18.4 ± 19.23 | 22.6 ± 13.72 | <0.001 |
| Hospital death (%) | 0.9 | 0.0 | 2.3 | 0.152 |
*1: coronary artery bypass graft; *2: cardiopulmonary bypass; *3: aortic cross-clamp; *4: red blood cell; *5: frozen fraction of plasma; *6: the lowest value during cardiopulmonary bypass; *7: dopamine + dobutamine ≥ 5 μg/kg/min or norepinephrine ≥ 0.15 μg/kg/min; *8: transfusion of red blood cells > 4 units or frozen fraction of plasma > 4 units or platelets during surgery; *9: PO2/FiO2 at 2 h after cardiopulmonary bypass; *10: p-value between PFR ≥ 300 and <300.
Table 3.
Correlations between postoperative pulmonary function and clinical outcomes.
| Ventilation Time | ICU *4 Stay | Hospital Stay | ||||
|---|---|---|---|---|---|---|
| Time after CPB *1 | Coefficient (r2) | p-Value | Coefficient (r2) | p-Value | Coefficient (r2) | p-Value |
| (immediate) | ||||||
| PFR *2 | 0.104 | <0.001 | 0.038 | 0.006 | 0.034 | 0.011 |
| RI *3 | 0.112 | <0.001 | 0.067 | 0.001 | 0.071 | <0.001 |
| (2 h) | ||||||
| PFR | 0.294 | <0.001 | 0.145 | <0.001 | 0.126 | <0.001 |
| RI | 0.369 | <0.001 | 0.213 | <0.001 | 0.121 | <0.001 |
| (4 h) | ||||||
| PFR | 0.085 | <0.001 | 0.045 | 0.002 | 0.053 | 0.001 |
| RI | 0.181 | <0.001 | 0.091 | 0.006 | 0.061 | <0.001 |
| (8 h) | ||||||
| PFR | 0.102 | <0.001 | 0.074 | <0.001 | 0.060 | <0.001 |
| RI | 0.264 | <0.001 | 0.153 | <0.001 | 0.061 | <0.001 |
*1: cardiopulmonary bypass, *2: PO2/FiO2, *3: respiratory index, *4: intensive care unit.
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Murata, T.; Maeda, M.; Amitani, R.; Hiromoto, A.; Shirakawa, M.; Kambe, M.; Maruyama, Y.; Imura, H. Postoperative Changes in Pulmonary Function after Valve Surgery: Oxygenation Index Early after Cardiopulmonary Is a Predictor of Postoperative Course. J. Clin. Med. 2021, 10, 3262. https://doi.org/10.3390/jcm10153262
AMA Style
Murata T, Maeda M, Amitani R, Hiromoto A, Shirakawa M, Kambe M, Maruyama Y, Imura H. Postoperative Changes in Pulmonary Function after Valve Surgery: Oxygenation Index Early after Cardiopulmonary Is a Predictor of Postoperative Course. Journal of Clinical Medicine. 2021; 10(15):3262. https://doi.org/10.3390/jcm10153262
Chicago/Turabian StyleMurata, Tomohiro, Motohiro Maeda, Ryosuke Amitani, Atsushi Hiromoto, Makoto Shirakawa, Masaru Kambe, Yuji Maruyama, and Hajime Imura. 2021. "Postoperative Changes in Pulmonary Function after Valve Surgery: Oxygenation Index Early after Cardiopulmonary Is a Predictor of Postoperative Course" Journal of Clinical Medicine 10, no. 15: 3262. https://doi.org/10.3390/jcm10153262
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