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. 2022 Dec 15;12:21687. doi: 10.1038/s41598-022-26144-8

Driving pressure-guided ventilation improves homogeneity in lung gas distribution for gynecological laparoscopy: a randomized controlled trial

Wei Zhang 1,#, Feifei Liu 1,2,#, Zhanqi Zhao 3,4, Chunqing Shao 5, Xin Xu 1, Jiajia Ma 1, Ruquan Han 1,
PMCID: PMC9755264  PMID: 36522433

Abstract

To investigate whether driving pressure–guided ventilation could contribute to a more homogeneous distribution in the lung for gynecological laparoscopy. Chinese patients were randomized, after pneumoperitoneum, to receive either positive end expiratory pressure (PEEP) of 5 cm H2O (control group), or individualized PEEP producing the lowest driving pressure (titration group). Ventilation homogeneity is quantified as the global inhomogeneity (GI) index based on electrical impedance tomography, with a lower index implying more homogeneous ventilation. The perioperative arterial oxygenation index and respiratory system mechanics were also recorded. Blood samples were collected for lung injury biomarkers including interleukin-10, neutrophil elastase, and Clara Cell protein-16. A total of 48 patients were included for analysis. We observed a significant increase in the GI index immediately after tracheal extubation compared to preinduction in the control group (p = 0.040) but not in the titration group (p = 0.279). Furthermore, the GI index was obviously lower in the titration group than in the control group [0.390 (0.066) vs 0.460 (0.074), p = 0.0012]. The oxygenation index and respiratory compliance were significantly higher in the titration group than in the control group. No significant differences in biomarkers or hemodynamics were detected between the two groups. Driving pressure–guided PEEP led to more homogeneous ventilation, as well as improved gas exchange and respiratory compliance for patients undergoing gynecological laparoscopy.

Trial Registration: ClinicalTrials.gov NCT04374162; first registration on 05/05/2020.

Subject terms: Randomized controlled trials, Outcomes research

Introduction

Laparoscopy is preferred for gynecological surgery. However, pneumoperitoneum (PNP) and a steep Trendelenburg position (T-position) impose adverse effects on the respiratory system1, which lead to reduced homogeneity in gas distribution, impair gas exchange, and contribute to postoperative pulmonary complications (PPCs).

Lung protection ventilation (LPV) mitigates iatrogenic injury in previously healthy lungs to reduce the incidence of PPCs2. In addition to a lower tidal volume (VT), the positive end-expiratory pressure (PEEP) should initially be set to 5 cm H2O and individualized thereafter to minimize atelectasis and/or overdistention3. However, little is known about how to set the optimal PEEP under elevated intra-abdominal pressure in laparoscopy. Currently, multiple options for PEEP titration have been tried, for example, by pulmonary compliance4, intraabdominal pressure5 or by using electrical impedance tomography (EIT)6, but with inconsistent data.

Driving pressure (DP), calculated as [airway plateau pressure (Pplat)—PEEP]7, is the pressure needed for alveolar opening under controlled or assisted ventilation. For patients with or without healthy lungs, DP is more closely related to PPCs or survival than VT or PEEP8,9. Therefore, the “lowest DP”-based ventilation has been proposed to be a new direction, which has already been demonstrated in thoracic and abdominal surgeries, but not in gynecological laparoscopy10,11.

The effects of the ventilation protocol on lung outcome should be evaluated by imaging the recruitable lung volume for gas exchange. Thoracic electrical impedance tomography (EIT) is a functional radiation-free and noninvasive imaging technique at bedside, by which the dynamic changes in aeration distribution can be successfully visualized and evaluated12. It has been successfully validated by CT scans13 and safely used in both adult and pediatric patients14,15. The global inhomogeneity (GI) index is an EIT-based numeri value that explores homogeneity in the VT distribution. A higher GI implies more heterogeneous spatial ventilation in the lung16.

In this study, we hypothesized that DP-guided PEEP favors homogeneous ventilation measured by the GI index. Global parameters for lung function, such as oxygenation and respiratory mechanics, and lung injury biomarkers, such as the anti-inflammatory factor interleukin-10 (IL-10), the barotrauma indicator neutrophil elastase (NE), and the atelectrauma indicator Clara Cell protein-16 (CCP-16)17, were the secondary outcomes.

Methods

Ethical

The randomized, parallel-group, patient- and outcome assessor blinded trial was conducted at a single institution in accordance with the Declaration of Helsinki. This study was approved by Ethics Committee of Chinese Clinical Trial Registry (ChiECRCT20200112; May 2020) and registered before patient recruitment at clinicaltrials.gov (NCT04374162; 05/05/2020). Written informed consent was obtained from all participants one day prior to surgery and randomization. The study adhered to the applicable Consolidated Standards of Reporting Trials (CONSORT) guidelines and conformed to the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network guidelines.

Patient selection

The inclusion criteria were: (1) patients 18 to 80 years old; (2) patients scheduled for elective gynecological laparoscopy in T-position; (3) mechanical ventilation of > 2 h; (4) expected postoperative extubation in the operation room. The exclusion criteria were ASA Physical Status of IV or V, mechanical ventilation of > 1 h within the last 2 weeks before surgery, BMI ≥ 35 kg∙m−2, respiratory diseases, emergency surgery, severe heart failure (cardiac index less than 1.8 L∙min−1∙m−2), progressive neuromuscular illness, pregnancy, refusal to participate and contradicted to EIT scan. Drop-out criteria included surgery type changed to open techniques and MAP dropped to below 55 mmHg.

Randomization and blinding

Randomization was conducted by computer-generated random number allocation sealed in an opaque envelope. Eligible patients were randomized to two groups within 24 h before surgery by designated staff, with an allocation ratio of 1:1. The attending anesthesiologist in charge of the intervention was aware of the group assignment. Chest EIT was performed by a specialized technician and analyzed by a researcher. Data collection in the postoperative period and off-line data analysis were performed blindly.

Anesthesia

A radial artery was cannulated for blood gas analysis and continuous blood pressure monitoring as a routine procedure for laparoscopy in our institution. A sample of venous blood for measurement of biomarkers was also obtained. All patients were preoxygenated with FiO2 > 0.8 and received routine anesthesia induction with intravenous sufentanil (2-3 μg∙kg−1), propofol (2-3 mg∙kg−1) and rocuronium (0.6 mg∙kg−1). Thereafter, anesthesia was maintained with sevoflurane (0.4 MAC) and propofol (3-4 mg∙kg−1∙h−1) to maintain bispectral index values of 40-60. MAP was maintained between ± 20% of the baseline value. Intraoperative analgesia was provided with continuous remifentanil infusion (0.05-0.2 μg∙kg−1∙min−1) and additional sufentanil if required. Rocuronium was repeated if needed. Ondansetron (8 mg) and tramadol (1.5 mg∙kg−1) were infused 15 min before the end of surgery and residual neuromuscular block was antagonized with neostigmine 0.04 mg∙kg−1 and atropine 0.02 mg∙kg−1 after spontaneous ventilation recovery postoperatively. Postoperative pain was controlled under 3 visual analog scores (VAS; 0: no pain; 10: pain as bad as it could be, or worst pain). All patients were transferred to postanesthesia care unit (PACU) after successful extubation and monitored for at least 1 h. The follow-up lasted 3 days postoperatively.

Intervention

Eligible patients were randomly assigned to the control group or the titration group. The ventilation protocol consisted of volume-controlled mechanical ventilation (Datex Ohmeda S/5 Advance, General Electric Healthcare, Helsinki, Finland) at a VT of 8 ml∙kg−1 per predicted body weight, fresh gas of 2 L∙min−1, FiO2 = 0.4 (elevated if SpO2 < 94%), inspiratory to expiratory ratio of 1:2, and a respiratory rate adjusted to normocapnia (PaCO2 between 35 and 45 mmHg). Ventilation parameters, such as Pplat, peak pressure (Ppeak) and compliance, were derived from the same anesthetic machine. In the titration group, 10 min after PNP (intraabdominal pressure 14 mmHg) and 30° T-position, PEEP was increased stepwise by 1 cmH2O from the initial 5 cmH2O until reaching 15 cmH2O. Each level was maintained for 10 respiratory cycles, and in the last cycle, DP calculated as (Pplat-PEEP) was recorded. Then the level producing the lowest DP was identified as “individualized PEEP” and maintained until deflation of PNP at the end of the operation. The titration lasted no more than 10 min. If Pplat achieved more than 30 cmH2O, it was terminated in advance. In the control group, PEEP was fixed at 5 cmH2O throughout the whole ventilation. It is reported that intrinsic PEEP (PEEPi) results from delayed lung emptying in a wide range of respiratory conditions18, which have been excluded from this study, so PEEPi has no important clinical consequences here. However, if we identified the presence of PEEPi by real-time airflow and airway pressure vs time waveforms at the point of end-expiration, we recorded it.

Outcomes

The primary outcome was the GI value immediately after extubation. Thoracic EIT (PulmoVista 500, Draeger Medical, Lübeck, Germany) was performed as described previously13 by a trained technician. Briefly, the silicon belt with 16 electrodes was placed around thorax circumference at the fifth intercostal space, with another reference electrode on the abdomen. The position of the silicon belt was marked at the skin for the second measurement immediately after extubation. The dynamic changes in aeration distribution can be visualized and measured by calculating the impedance changes during breathing cycles12. On this basis, the GI index was calculated offline using customized software and a lower index implied better postoperative lung recovery. Multiple studies in both the laboratory and clinic have supported EIT as a unique standard device of simplicity, efficacy, and safety15.

The secondary outcomes included oxygenation index (OI), DP, respiratory system compliance, plasma concentrations of biomarkers, hemodynamics perioperatively and PPCs within 3 days postoperatively. Arterial blood gas was tested (ABL 800, Radiometer, Copenhagen, Denmark) for OI as PaO2/FiO2. Venous blood samples collected in EDTA vials were centrifuged at 3,000 rpm for 10 min and stored in aliquots at − 80 °C for analysis. IL-10, CCP-16 and NE were measured using a Human Interleukin 10 ELISA Kit (Cat#CSB-E04593 h; CUSABIO, China), Human Clara cell protein ELISA Kit (Cat# CSB-E08680 h; CUSABIO, China) and Human elastase 2, neutrophil ELISA kit (Cat# CSB-EL007587 HU; CUSABIO, China), respectively. PPCs were evaluated with Melbourne Group Scale version 219 (Appendix Table 1).

Statistical analysis

We attempted to detect a difference of 0.1 in GI between the two groups according to a previous study20, with an alpha level of 0.05 and an SD of 10% using an independent t test at a power of 90%. Allowing for a dropout rate of 5%, the sample was required to be 24 patients in each group. GraphPad Prism 8.0 (GraphPad software, USA) was used for statistical analyses. The Kolmogorov–Smirnov test was used to check for a normal distribution. Continuous variables with normal distribution are presented as mean (SD). Nonnormally distributed data are presented as the median (IQR [range]). Categorical variables were reported as the number (proportion) of patients. Two-way ANOVA followed by Tukey’s multiple comparison was conducted to evaluate the effects of group, time, and the interaction on GI, OI, respiratory mechanics and hemodynamic variables. Biomarkers were statistically compared within each group (at different time points) using a paired Student’s t test and between groups using an independent t test. Chi-square analysis or Fisher’s exact test were conducted for categorical variables in comparison between two groups. The Mann–Whitney test was conducted for nonnormally distributed data. We judged a p value of less than 0.05 to be significant for all tests.

Results

From May 2020 to February 2021, 57 patients undergoing elective laparoscopic gynecological surgery (Fig. 1) were screened. Five patients were excluded, and 52 patients were randomized into two groups and received the intended interventions. Two patients in the control group and one in the titration group were excluded due to technical problems in EIT. Additionally, one surgery was switched to an open abdomen procedure in the titration group. Finally, 24 patients in each group were analyzed. The demographic and clinical variables did not differ between groups, and no significant differences were observed in terms of VT, respiratory rate, fluid balance or ventilation duration (Table 1).

Figure 1.

Figure 1

Flow diagram of the study. PEEP, positive end-expiratory pressure. DP driving pressure.

Table 1.

Demographics and surgery characteristics.

The control group (n = 24) The titration group (n = 24)
Age; yr 38.1 (11.2) 43.8 (9.5)
Height; cm 163 (4.6) 161 (6.4)
Weight; kg 64.6 (11.9) 61.6 (10.0)
BMI; kg m−2 24.4 (4.0) 23.7 (2.8)
ASA, II, n (%) 24 (100) 22 (92)
III, n (%) 0 (0) 2 (8)
Hemoglobin, g dL−1 120 (18.8) 116 (18.5)
Hypertension, n (%) 1 (4) 4 (17)
Diabetes, n (%) 1 (4) 0 (0)
Anemia, n (%) 1 (4) 1 (4)
Heart disease, n (%) 0 (0) 1 (4)
Tidal volume; mL 440 (35) 430 (40)
RR; breaths min−1 13 (1) 13 (1)
Intraoperative fluid input; mL 1580 (680) 1550 (480)
Intraoperative bleeding; mL 110 (250) 120 (180)
Intraoperative fluid output; mL 480 (400) 600 (340)
Duration of operation; min 139 (55) 147 (65)
Duration of ventilation; min 180 (68) 197 (56)
Vasoactive drugs, n (%) 5 (21) 2 (8)
Type of surgery, n (%)
Oophorectomy 11 (46) 1 (4)
Hysterectomy 5 (21) 14 (58)
Adnexectomy 2 (8) 2 (8)
Salpingoplasty 2 (8) 1 (4)
Myomectomy 2 (8) 2 (8)
Uterus repair 2 (8) 4 (17)

Values are the mean (SD) or number (%). RR respiratory rate; VAS visual analog scale; PPCs postoperative pulmonary complications.

As seen from the distribution in Fig. 2, compared to the fixed PEEP of 5 cmH2O in the control group (Fig. 2b), we obtained an individualized PEEP in the titration group with a median (IQR [range]) of 11 (8-12 [6-14]) cmH2O, which led to a significantly lower DP of 13 (12-14 [7-18]) cmH2O than in the control group of 16 (14-19 [11-25]) cmH2O (p < 0.001, Fig. 2a).

Figure 2.

Figure 2

Distribution plot for driving pressure (a) and PEEP level (b). Lines indicate median with IQR. PEEP positive end-expiratory pressure. ***p < 0.001.

Representative EIT images before and after surgery are shown in Fig. 3. In the control group, there was an increase of 15% in GI immediately after extubation compared to preinduction (p = 0.04), implying an unfavorable gas redistribution in the lung after laparoscopy. Furthermore, this value was obviously higher than that in the titration group [0.460 (0.074) vs 0.390 (0.066), p = 0.001] immediately after extubation, suggesting a more homogeneous distribution of gas by ventilation with DP-guided PEEP (Fig. 4a). Regarding the global lung function, OI was significantly higher in the titration group than in the control group 1 h after PNP [460 (73) vs 398 (99) mmHg, p = 0.02)], as well as immediately after extubation [515 (123) vs 429 (95) mmHg, p = 0.03)] (Fig. 4b).

Figure 3.

Figure 3

Representative images showing tidal variation measured by electrical impedance tomography at different time points for patients from (a) the control group and (b) the titration group. GI the global inhomogeneity index.

Figure 4.

Figure 4

Box-whisker plots for the global inhomogeneity index (a) and oxygenation index (b) at different time points. Line at median, top of the box at the 75th percentile, bottom of the box at the 25th percentile, whiskers at the highest and lowest values. The oxygenation index was calculated as PaO2/FiO2. PNP, pneumoperitoneum. *p < 0.05; **p < 0.01.

There was an obvious decline in static compliance 10 min after PNP in both groups (p < 0.0001 in both groups), with significant differences between the groups evolving along distinct ventilation protocols (p = 0.02). Although both the Ppeak and Pplat were higher in the titration group 1 h after PNP (p = 0.02 and p = 0.01 vs Control group, respectively) and 10 min after deflation of PNP (p = 0.03 and p = 0.04 vs Control group, respectively), these levels were within the safe limit. PaCO2 and pH did not show any difference between the two groups perioperatively (Table 2).

Table 2.

Ventilatory mechanics and gas analysis.

Characteristics Control Titration p
(n = 24) (n = 24) Time Group Inter
Compliance (mL cmH2O1)  < 0.001 0.02  < 0.001
immediately after intubation 62.5(10.4) 60.8(9.3)
10 min after PNP 32.3(6.6) 29.3(5.4)
1 h after PNP 29.4(6.1) 36.7(8.3)**
10 min after deflation of PNP 43.0(11.8) 52.5(11.1)*
end of surgery 44.1(10.7) 55.1(10.3)**
Ppeak (cmH2O)  < 0.001 0.08  < 0.001
immediately after intubation 14(3.9) 14.5(2.6)
10 min after PNP 21.5(3.8) 22.1(2.6)
1 h after PNP 23(4.6) 26.3(2.5)*
10 min after deflation of PNP 17.7(3.1) 20.5(3.5)*
end of surgery 17.8(3.2) 17.1(3.8)
Pplat (cmH2O)  < 0.001 0.06 0.01
immediately after intubation 11.5(4.1) 12.2(2.8)
10 min after PNP 19.5(4.0) 20.0(3.0)
1 h after PNP 21.5(4.0) 24.5(2.1)*
10 min after deflation of PNP 15.2(3.2) 17.9(3.7)*
end of surgery 14.9(2.8) 14.9(3.7)
PaCO2  < 0.001 0.89 0.39
immediately after intubation 35.9(4.1) 34.0(4.1)
1 h after PNP 41.9(4.0) 41.9(5.5)
immediately after extubation 45.0(7.2) 46.3(6.0)
1 h after extubation 39.4(4.3) 40.1(4.5)
pH  < 0.001 0.05 0.33
immediately after intubation 7.41(0.028) 7.43(0.039)
1 h after PNP 7.34(0.042) 7.36(0.047)
immediately after extubation 7.32(0.045) 7.32(0.046)
1 h after extubation 7.35(0.039) 7.36(0.045)

Values are the mean (SD) or number (%). Values are the mean (SD). Ppeak airway peak pressure; Pplat airway plateau pressure; PNP pneumoperitoneum. *p < 0.05; **p < 0.01 compared to the control group.

CCP-16 and NE did not change over time in either group, and no differences were found between the two groups immediately after extubation (p = 0.10 for CCP-16 and p = 0.99 for NE, Fig. 5). The plasma concentration of IL-10 from patients in the titration group significantly decreased after mechanical ventilation, compared to preinduction (p = 0.04) but not in the control group (p = 0.25). There were no significant differences between the two groups immediately after extubation. Regarding the hemodynamic parameters, both MAP and HR were comparable throughout surgery in the two groups (Appendix Fig. 1). We observed no differences concerning demands for vasoactive drugs (p = 0.42). At the 3-day follow-up, one patient in the control group and two in the titration group reported a VAS pain score of > 3 (p > 0.99), and no PPCs defined as the Melbourne Group Scale of at least 4 occurred in either group.

Figure 5.

Figure 5

Box-whisker plots for plasma concentrations of IL-10 (a), CC16 (b), and NE (c) at different time points. Line at median, top of the box at the 75th percentile, bottom of the box at the 25th percentile, whiskers at the highest and lowest values. IL-10 interleukin-10. CCP-16 Clara cell protein 16. NE neutrophil elastase. *p < 0.05.

Discussion

The main findings of this randomized controlled study were: (i) individualized PEEP guided by DP improved ventilation distribution, gas exchange and pulmonary mechanics compared to a fixed PEEP of 5 cm H2O during gynecological laparoscopy; (ii) there were no significant differences in hemodynamic parameters and blood gas analysis in both groups; (iii) no major adverse events occurred throughout the study; (iv) the benefits of DP-guided ventilation did not disappear after extubation. So DP could be a promising target for lung-protection ventilation strategies to reduce PPCs, and individualized PEEP titration aimed at the lowest DP was proposed as an effective and time-efficient approach in clinical utility.

PPCs remain a worldwide healthcare problem especially for abdominal surgery of at least 2 h duration21. A reduction of 30% in the mean vital capacity percentage has been reported after laparoscopic prostatectomy in nonobese patients22. DP, the pressure required to open the alveoli, was inversely related to compliance and orthodromicly related to VT (intrinsically normalized to functional lung size)23. An international consensus on lung protection has also recommended avoiding increase in DP3. A recent retrospective cohort analysis24, which included 2034 patients undergoing abdominal surgery, concluded that DP was significantly associated with PPCs and intraoperative adverse events in both open and closed abdominal surgeries. The association was stronger in closed abdominal surgery than in open abdominal surgery (risk ratio (RR), 1.11 [95% CI 1.10 to 1.20], p < 0.001). Therefore, titrating PEEP to obtain the lowest DP could be an effective preventive strategy against PPCs, especially for closed abdominal surgery such as laparoscopy.

Accordingly, recent prospective studies demonstrated that PEEP optimization guided by DP is associated with a lower incidence of PPCs in both thoracic and abdominal surgery2,25. For elderly patients undergoing laparoscopic surgery26, DP-guided individualized PEEP has reduced lung atelectasis at the end of surgery and 15 min after admission to PACU. The intraoperative respiratory mechanics have also been improved. Meanwhile, the study indicated that ventilation strategy with a fixed PEEP of 6 cmH2O was not superior to that with zero PEEP in reducing postoperative pulmonary atelectasis. All these are supportive of our results. A DP higher than 16 cmH2O has been associated with an increased risk of PPCs for noncardiac surgeries27. In our study, 22 patients (22/24) in the titration group yielded a DP value of no more than 16 cm H2O compared to the control group of only 14 patients (14/24, p = 0.01) (Fig. 2a). The lower DP in the titration group led to an improved gas distribution and exchange in the lung, suggesting that it is a promising marker for subsequent lung injury. We also observed a median DP difference of only 3 cmH2O between groups. Previous studies have supported this by showing that each 1 cmH2O increase in DP was associated with worse respiratory outcomes for ARDS patients, as well as surgical people with healthy lungs9,10. All these results indicated that what matters is the individualization of ventilation but not the absolute data. The relatively higher DP discrepancy in our study (median 3 cmH2O) may be attributed to the added workload to counteract PNP and T-position, suggesting that DP-guided ventilation bears a stronger pathophysiological rationale for laparoscopy surgery.

In patients undergoing lower abdominal surgery, atelectasis and impaired arterial oxygenation were observed during mechanical ventilation, as well as the first postoperative days28. Utilizing synchrotron-based X-ray tomographic microscopy on isolated rat lungs, experimental data have estimated that a small global strain can lead to local strains up to four times as high in the alveolar wall of heterogeneous lungs29. The strain hotspots obviously tend to be at the thinnest regions of the alveolar walls, which seem to become overstretched. Furthermore, dynamic PET/CT imaging of [18F] fluoro-2-deoxy-d-glucose in piglets has provided new information that normally/poorly aerated regions are the primary targets of the inflammatory process accompanying early VILI, suggesting that tidal stretch is highest in these intermediate gravitational zones30. All these findings emphasize the importance of strategies capable of minimizing both collapse and hyperinflation, thus unloading the ventilated lung. In the presence of anesthesia-related atelectasis, DP scales the tidal volume in relation to the remaining ventilated lung size and the mechanical scenario created by PEEP, so it is important to individualize the ventilatory settings and achieve an optimum DP adapted to the size of the ventilated lung. In the present study, DP-guided PEEP led to a lower GI index immediately after extubation, suggesting that the heterogeneity caused by surgery and anesthesia was restored. Postoperative OI might be a potential target independently associated with PPCs and mortality31. Here, we observed a better perioperative OI in the titration group, which could be crucial in high-risk patients for PPCs even if no hypoxic events occurred in either group.

Individual titrated PEEP provides the optimum compromise to alleviate the heterogeneous ventilation distribution. In this study, the individualized PEEP values ranged between 6 and 14 cmH2O with a median of 11 cmH2O, strengthening that a fixed PEEP is not suitable due to the individual characteristics of the patient and surgery. Here, we chose increment titration, a similar approach that has been used in studies for thoracic surgery10. Increment titration is commonly used in both ARDS patients and surgical patients with healthy lungs and appears to be more time-efficient and easier for clinical utility10,32,33. Reasons for not applying RM include concern about hypoxemia and hemodynamic instability and the risk of airway secretions dislodged by RM distally34. However, a recent study showed a significant effect of an intensive alveolar recruitment as a step further in postoperative lung protection for vasoplegic patients after cardiac surgery without significant side effects35. Moreover, it has been illustrated that in an early ARDS patient, the dynamic compliance, oxygenation and reduction in DP appeared limited during the incremental phases, compared to the decremental phrase with the same PEEP levels, suggesting that DP can be further reduced by means of individual maximal lung recruitment and decremental PEEP titration, which may induce a more homogeneous distribution of transpulmonary pressures and a better gain in lung compliance36. This alternative approach has been supported in more recent studies for both healthy and injured lungs subjected to mechanical ventilation3739.

We noted that group differences in GI and OI disappeared at 1 h after extubation, and no PPCs occurred in either group. It has been reported that the benefits of individual PEEP in GI, end-expiratory lung volume, and oxygenation vanish 2-6 h after extubation in both nonobese and obese patients undergoing laparoscopic surgery40. The ventilation strategy with DP-guided PEEP has not influenced the incidence of PPCs in elderly patients undergoing laparoscopic surgery. Together with our results, all these are consistent with the consensus of an international expert panel that the benefits of individualized PEEP during ventilation may disappear quickly after extubation3. Ventilation therefore exerts its effects on lung distribution and gas exchange mainly throughout the surgery and the immediate extubation phase. Thus, to propagate the obtained benefits of DP-guided ventilation to long-term outcomes, additional strategies are needed, such as early mobilization.

In this study, plasma indicators for ventilation-associated lung injury, including IL-10, CCP-16 and NE, displayed no differences between the two groups, consistent with the findings in healthy patients ventilated during surgery17,41. The negative findings were possibly due to patients’ normal pulmonary status, the short study duration, and the limited sensitivity of measurements. However, the plasma level of the anti-inflammatory cytokine IL-10 significantly decreased in the titration group after mechanical ventilation, as supported by Ioanna Korovesi’s study42, which found that IL-10 concentrations in the exhaled breath condensate of ventilated uninjured lungs decreased over time during PEEP (8 cm H2O) and tended to increase in the ZEEP (0 cm H2O) group.

Intraoperative hypotension was more frequent in patients with higher PEEP43. We observed no difference in hemodynamic parameters and vasopressor requirements, which could be explained by the relatively lower Ppeak preset within the safety limit (< 30 cmH2O) and the avoidance of RM. Additionally, intraoperative PaCO2 and pH did not differ between the two groups, indicating adequate ventilation delivered in the titration group despite higher PEEP.

There were several limitations in our study. First, the sample is limited to a single center and to relatively healthy and nonobese females with normal lung function. However, DP-guided ventilation implies a promising strategy in this study and encourages us to generalize it to a larger population, especially those at risk for PPCs. Second, the DP-targeting strategy should not be used in isolation, without considering other ventilatory variables such as VT and PaCO2, and clinical factors such as lung disease and hemodynamics44. In our study, these factors were comparable in the two groups. Third, for practical reasons, the GI index was not measured during PNP and therefore remains to be studied in a future trial. Fourth, we chose incremental PEEP titration instead of decremental titration in this study. However, an incremental PEEP trial results in variable end-inspiratory recruitment, which affects end-expiratory recruitment at any particular PEEP level. Similar effect could be derived from inspiratory pressure–volume loop45. The hysteresis of the pressure–volume curve results from variation of surface tension from inspiration to expiration, from stress relaxation, from the viscoelastic properties of the lung, from different lung volumes and lung history, from different degrees of inspiratory recruitment and expiratory derecruitment. Therefore, characteristics of a deflation pressure–volume curve (e.g. decremental PEEP trials) after recruitment maneuver, allow better determination of an optimum PEEP37,46. Whether the findings in the present study could be transferred directly to decremental PEEP trial requires further exploration.

Conclusion

DP-targeted individualized PEEP results in more homogeneous ventilation immediately after extubation in patients undergoing gynecological laparoscopy, as well as improved oxygenation and respiratory compliance perioperatively.

Supplementary Information

Supplementary Figure 1. (14.1KB, pdf)
Supplementary Table 1. (15.5KB, docx)

Author contributions

R.H., as the corresponding author, conceived the study, consulted the clinical trial registration, supervised the study implementation, collected and analyzed the data, and reviewed the manuscript. W.Z. conceived the study, performed the experiment, analyzed the data and wrote the manuscript. F.L. contributed to the study design, anesthesia implementation, data collection and critical revision. Z.Z. participated in the study design, analyzed and interpreted the primary outcome, revised the draft and supported the constructive discussions. C.S. designed and performed the procedure of venous blood sampling and testing and participated in the statistical analysis and interpretation of the data. X.X. collected and analyzed the hemodynamic and mechanical parameters during the whole anesthetic procedure, and drafted the corresponding parts of this manuscript. J.M. designed the process for arterial gas analysis, analyzed the oxygenation index for the study and revised the discussion for oxygenation.

Funding

This work was supported by funding from Clinical Medicine Development of Special Funding Support (DFL20180502) and the Beijing Municipal Science & Technology Commission (Z19110700660000).

Data availability

The datasets generated and/or analyzed during the current study are not publicly available, as the data also form part of an ongoing study. However, the datasets are available from the corresponding author upon reasonable request.

Competing interests

Dr. Zhanqi Zhao receives a consulting fee from Dräger Medical. Other authors do not have competing-interest.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Wei Zhang and Feifei Liu.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-022-26144-8.

References

  • 1.Pelosi P, Foti G, Cereda M, Vicardi P, Gattinoni L. Effects of carbon dioxide insufflation for laparoscopic cholecystectomy on the respiratory system. Anaesthesia. 1996;51(8):744–749. doi: 10.1111/j.1365-2044.1996.tb07888.x. [DOI] [PubMed] [Google Scholar]
  • 2.Pelosi P, Ball L. Should we titrate ventilation based on driving pressure? Maybe not in the way we would expect. Ann. Transl. Med. 2018;6(19):389. doi: 10.21037/atm.2018.09.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Young CC, Harris EM, Vacchiano C, Bodnar S, Bukowy B, Elliott RRD, et al. Lung-protective ventilation for the surgical patient: international expert panel-based consensus recommendations. Br. J. Anaesth. 2019;123(6):898–913. doi: 10.1016/j.bja.2019.08.017. [DOI] [PubMed] [Google Scholar]
  • 4.Ruszkai, Z., Kiss, E., Laszlo, I., Bokretas, G. P., Vizseralek, D. & Vamossy, I., et al. Effects of intraoperative positive end-expiratory pressure optimization on respiratory mechanics and the inflammatory response: a randomized controlled trial. J. Clin. Monit. Comput. 35, 469–482 (2020). [DOI] [PMC free article] [PubMed]
  • 5.Mazzinari G, Diaz-Cambronero O, Alonso-Inigo JM, Garcia-Gregorio N, Ayas-Montero B, Ibanez JL, et al. Intraabdominal pressure targeted positive end-expiratory pressure during laparoscopic surgery: An open-label, nonrandomized, crossover, clinical trial. Anesthesiology. 2020;132(4):667–677. doi: 10.1097/ALN.0000000000003146. [DOI] [PubMed] [Google Scholar]
  • 6.Spadaro S, Mauri T, Bohm SH, Scaramuzzo G, Turrini C, Waldmann AD, et al. Variation of poorly ventilated lung units (silent spaces) measured by electrical impedance tomography to dynamically assess recruitment. Crit. Care. 2018;22(1):26. doi: 10.1186/s13054-017-1931-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Meier A, Sell RE, Malhotra A. Driving pressure for ventilation of patients with acute respiratory distress syndrome. Anesthesiology. 2020;132(6):1569–1576. doi: 10.1097/ALN.0000000000003195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sahetya SK, Mallow C, Sevransky JE, Martin GS, Girard TD, Brower RG, et al. Association between hospital mortality and inspiratory airway pressures in mechanically ventilated patients without acute respiratory distress syndrome: A prospective cohort study. Crit. Care. 2019;23(1):367. doi: 10.1186/s13054-019-2635-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Neto AS, Hemmes SN, Barbas CS, Beiderlinden M, Fernandez-Bustamante A, Futier E, et al. Association between driving pressure and development of postoperative pulmonary complications in patients undergoing mechanical ventilation for general anaesthesia: A meta-analysis of individual patient data. Lancet Respir. Med. 2016;4(4):272–280. doi: 10.1016/S2213-2600(16)00057-6. [DOI] [PubMed] [Google Scholar]
  • 10.Park M, Ahn HJ, Kim JA, Yang M, Heo BY, Choi JW, et al. Driving pressure during thoracic surgery: A randomized clinical trial. Anesthesiology. 2019;130(3):385–393. doi: 10.1097/ALN.0000000000002600. [DOI] [PubMed] [Google Scholar]
  • 11.Ferrando C, Suarez-Sipmann F, Tusman G, Leon I, Romero E, Gracia E, et al. Open lung approach versus standard protective strategies: Effects on driving pressure and ventilatory efficiency during anesthesia—A pilot, randomized controlled trial. PLoS ONE. 2017;12(5):e0177399. doi: 10.1371/journal.pone.0177399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Spinelli E, Mauri T, Fogagnolo A, Scaramuzzo G, Rundo A, Grieco DL, et al. Electrical impedance tomography in perioperative medicine: Careful respiratory monitoring for tailored interventions. BMC Anesthesiol. 2019;19(1):140. doi: 10.1186/s12871-019-0814-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bauer M, Opitz A, Filser J, Jansen H, Meffert RH, Germer CT, et al. Perioperative redistribution of regional ventilation and pulmonary function: A prospective observational study in two cohorts of patients at risk for postoperative pulmonary complications. BMC Anesthesiol. 2019;19(1):132. doi: 10.1186/s12871-019-0805-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sang L, Zhao Z, Lin Z, Liu X, Zhong N, Li Y. A narrative review of electrical impedance tomography in lung diseases with flow limitation and hyperinflation: methodologies and applications. Ann. Transl. Med. 2020;8(24):1688. doi: 10.21037/atm-20-4984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Frerichs I, Amato MB, van Kaam AH, Tingay DG, Zhao Z, Grychtol B, et al. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group. Thorax. 2017;72(1):83–93. doi: 10.1136/thoraxjnl-2016-208357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Schullcke B, Krueger-Ziolek S, Gong B, Jorres RA, Mueller-Lisse U, Moeller K. Ventilation inhomogeneity in obstructive lung diseases measured by electrical impedance tomography: A simulation study. J. Clin. Monit. Comput. 2018;32(4):753–761. doi: 10.1007/s10877-017-0069-0. [DOI] [PubMed] [Google Scholar]
  • 17.Fernandez-Bustamante A, Klawitter J, Repine JE, Agazio A, Janocha AJ, Shah C, et al. Early effect of tidal volume on lung injury biomarkers in surgical patients with healthy lungs. Anesthesiology. 2014;121(3):469–481. doi: 10.1097/ALN.0000000000000301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Heili-Frades S, Suarez-Sipmann F, Santos A, Carballosa MP, Naya-Prieto A, Castilla-Reparaz C, et al. Continuous monitoring of intrinsic PEEP based on expired CO2 kinetics: An experimental validation study. Crit. Care. 2019;23(1):192. doi: 10.1186/s13054-019-2430-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Li X, Chen C, Wei X, Zhu Q, Yao W, Yuan D, et al. Retrospective comparative study on postoperative pulmonary complications after orthotopic liver transplantation using the Melbourne Group Scale (MGS-2) diagnostic criteria. Ann. Transplant. 2018;23:377–386. doi: 10.12659/AOT.907883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zhao Z, Pulletz S, Frerichs I, Muller-Lisse U, Moller K. The EIT-based global inhomogeneity index is highly correlated with regional lung opening in patients with acute respiratory distress syndrome. BMC Res. Notes. 2014;7:82. doi: 10.1186/1756-0500-7-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Simoes CM, Carmona MJC, Hajjar LA, Vincent JL, Landoni G, Belletti A, et al. Predictors of major complications after elective abdominal surgery in cancer patients. BMC Anesthesiol. 2018;18(1):49. doi: 10.1186/s12871-018-0516-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Shono A, Katayama N, Fujihara T, Bohm SH, Waldmann AD, Ugata K, et al. Positive end-expiratory pressure and distribution of ventilation in pneumoperitoneum combined with steep trendelenburg position. Anesthesiology. 2020;132(3):476–490. doi: 10.1097/ALN.0000000000003062. [DOI] [PubMed] [Google Scholar]
  • 23.Yu XS, Pan JY. A narrative review of driving pressure as a monitoring indicator during mechanical ventilation with spontaneous breathing. Ann. Palliat Med. 2020;9(5):3522–3527. doi: 10.21037/apm-19-284. [DOI] [PubMed] [Google Scholar]
  • 24.Mazzinari G, Serpa Neto A, Hemmes SNT, Hedenstierna G, Jaber S, Hiesmayr M, et al. The Association of Intraoperative driving pressure with postoperative pulmonary complications in open versus closed abdominal surgery patients—A posthoc propensity score-weighted cohort analysis of the LAS VEGAS study. BMC Anesthesiol. 2021;21(1):84. doi: 10.1186/s12871-021-01268-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ahn HJ, Park M, Kim JA, Yang M, Yoon S, Kim BR, et al. Driving pressure guided ventilation. Korean J. Anesthesiol. 2020;73(3):194–204. doi: 10.4097/kja.20041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Xu Q, Guo X, Liu J, Li SX, Ma HR, Wang FX, et al. Effects of dynamic individualized PEEP guided by driving pressure in laparoscopic surgery on postoperative atelectasis in elderly patients: a prospective randomized controlled trial. BMC Anesthesiol. 2022;22(1):72. doi: 10.1186/s12871-022-01613-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ladha K, Vidal Melo MF, McLean DJ, Wanderer JP, Grabitz SD, Kurth T, et al. Intraoperative protective mechanical ventilation and risk of postoperative respiratory complications: hospital based registry study. BMJ. 2015;351:h3646. doi: 10.1136/bmj.h3646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lindberg P, Gunnarsson L, Tokics L, Secher E, Lundquist H, Brismar B, et al. Atelectasis and lung function in the postoperative period. Acta Anaesthesiol. Scand. 1992;36(6):546–553. doi: 10.1111/j.1399-6576.1992.tb03516.x. [DOI] [PubMed] [Google Scholar]
  • 29.Rausch SM, Haberthur D, Stampanoni M, Schittny JC, Wall WA. Local strain distribution in real three-dimensional alveolar geometries. Ann. Biomed. Eng. 2011;39(11):2835–2843. doi: 10.1007/s10439-011-0328-z. [DOI] [PubMed] [Google Scholar]
  • 30.Borges JB, Costa EL, Suarez-Sipmann F, Widstrom C, Larsson A, Amato M, et al. Early inflammation mainly affects normally and poorly aerated lung in experimental ventilator-induced lung injury*. Crit. Care Med. 2014;42(4):e279–e287. doi: 10.1097/CCM.0000000000000161. [DOI] [PubMed] [Google Scholar]
  • 31.Douville NJ, Jewell ES, Duggal N, Blank R, Kheterpal S, Engoren MC, et al. Association of intraoperative ventilator management with postoperative oxygenation, pulmonary complications, and mortality. Anesth. Analg. 2020;130(1):165–175. doi: 10.1213/ANE.0000000000004191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Elshazly M, Khair T, Bassem M, Mansour M. The use of intraoperative bedside lung ultrasound in optimizing positive end expiratory pressure in obese patients undergoing laparoscopic bariatric surgeries. Surg. Obes. Relat. Dis. 2021;17(2):372–378. doi: 10.1016/j.soard.2020.09.023. [DOI] [PubMed] [Google Scholar]
  • 33.Suter PM, Fairley B, Isenberg MD. Optimum end-expiratory airway pressure in patients with acute pulmonary failure. N. Engl. J. Med. 1975;292(6):284–289. doi: 10.1056/NEJM197502062920604. [DOI] [PubMed] [Google Scholar]
  • 34.Li Bassi G, Comaru T, Marti D, Xiol EA, Chiurazzi C, Travierso C, et al. Recruitment manoeuvres dislodge mucus towards the distal airways in an experimental model of severe pneumonia. Br. J. Anaesth. 2019;122(2):269–276. doi: 10.1016/j.bja.2018.07.039. [DOI] [PubMed] [Google Scholar]
  • 35.Borges JB, Amato MBP, Hedenstierna G. The increasing call for protective ventilation during anesthesia. JAMA Surg. 2017;152(9):893–894. doi: 10.1001/jamasurg.2017.1614. [DOI] [PubMed] [Google Scholar]
  • 36.Borges JB, Hedenstierna G, Larsson A, Suarez-Sipmann F. Altering the mechanical scenario to decrease the driving pressure. Crit. Care. 2015;19:342. doi: 10.1186/s13054-015-1063-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Pereira SM, Tucci MR, Morais CCA, Simoes CM, Tonelotto BFF, Pompeo MS, et al. Individual positive end-expiratory pressure settings optimize intraoperative mechanical ventilation and reduce postoperative atelectasis. Anesthesiology. 2018;129(6):1070–1081. doi: 10.1097/ALN.0000000000002435. [DOI] [PubMed] [Google Scholar]
  • 38.Reinius H, Borges JB, Engstrom J, Ahlgren O, Lennmyr F, Larsson A, et al. Optimal PEEP during one-lung ventilation with capnothorax: An experimental study. Acta Anaesthesiol Scand. 2019;63(2):222–231. doi: 10.1111/aas.13247. [DOI] [PubMed] [Google Scholar]
  • 39.Kacmarek RM, Villar J, Sulemanji D, Montiel R, Ferrando C, Blanco J, et al. Open lung approach for the acute respiratory distress syndrome: A pilot, randomized controlled trial. Crit. Care Med. 2016;44(1):32–42. doi: 10.1097/CCM.0000000000001383. [DOI] [PubMed] [Google Scholar]
  • 40.Girrbach F, Petroff D, Schulz S, Hempel G, Lange M, Klotz C, et al. Individualised positive end-expiratory pressure guided by electrical impedance tomography for robot-assisted laparoscopic radical prostatectomy: a prospective, randomised controlled clinical trial. Br. J. Anaesth. 2020;125(3):373–382. doi: 10.1016/j.bja.2020.05.041. [DOI] [PubMed] [Google Scholar]
  • 41.Determann RM, Wolthuis EK, Choi G, Bresser P, Bernard A, Lutter R, et al. Lung epithelial injury markers are not influenced by use of lower tidal volumes during elective surgery in patients without preexisting lung injury. Am. J. Physiol. Lung Cell Mol. Physiol. 2008;294(2):L344–L350. doi: 10.1152/ajplung.00268.2007. [DOI] [PubMed] [Google Scholar]
  • 42.Korovesi I, Papadomichelakis E, Orfanos SE, Giamarellos-Bourboulis EJ, Livaditi O, Pelekanou A, et al. Exhaled breath condensate in mechanically ventilated brain-injured patients with no lung injury or sepsis. Anesthesiology. 2011;114(5):1118–1129. doi: 10.1097/ALN.0b013e31820d84db. [DOI] [PubMed] [Google Scholar]
  • 43.Writing Committee for the PCGotPVNftCTNotESoA, Bluth, T., Serpa Neto, A., Schultz, M. J., Pelosi, P. & Gama de Abreu, M., et al. Effect of intraoperative high positive end-expiratory pressure (PEEP) with recruitment maneuvers vs low peep on postoperative pulmonary complications in obese patients: A randomized clinical trial. JAMA. 321(23), 2292–2305 (2019). [DOI] [PMC free article] [PubMed]
  • 44.Marini, J. J., Rocco, P. R. M. & Gattinoni, L. Static and dynamic contributors to ventilator-induced lung injury in clinical practice. Pressure, energy, and power. Am. J. Respir. Crit. Care Med. 201(7), 767–774 (2020). [DOI] [PMC free article] [PubMed]
  • 45.Hess DR. Recruitment maneuvers and PEEP titration. Respir. Care. 2015;60(11):1688–1704. doi: 10.4187/respcare.04409. [DOI] [PubMed] [Google Scholar]
  • 46.Costa Leme A, Hajjar LA, Volpe MS, Fukushima JT, De Santis Santiago RR, Osawa EA, et al. Effect of intensive vs moderate alveolar recruitment strategies added to lung-protective ventilation on postoperative pulmonary complications: A randomized clinical trial. JAMA. 2017;317(14):1422–1432. doi: 10.1001/jama.2017.2297. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Figure 1. (14.1KB, pdf)
Supplementary Table 1. (15.5KB, docx)

Data Availability Statement

The datasets generated and/or analyzed during the current study are not publicly available, as the data also form part of an ongoing study. However, the datasets are available from the corresponding author upon reasonable request.


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