Skip to main content

The effects of robot-assisted laparoscopic surgery with Trendelenburg position on short-term postoperative respiratory diaphragmatic function

Abstract

Objective

To study how Pneumoperitoneum under Trendelenburg position for robot-assisted laparoscopic surgery impact the perioperative respiratory parameters, diagrammatic function, etc.

Methods

Patients undergoing robot-assisted laparoscopic surgery in the Trendelenburg position and patients undergoing general surgery in the supine position were selected. The subjects were divided into two groups according to the type of surgery: robot-assisted surgery group and general surgery group. â‘  Respiratory parameters such as lung compliance, oxygenation index, and airway pressure were recorded at 5 min after intubation, 1 and 2 h after pneumoperitoneum. â‘¡ Diaphragm excursion (DE) and diaphragm thickening fraction (DTF) were recorded before entering the operating room (T1), immediately after extubation (T2), 10 min after extubation (T3), and upon leaving the postanesthesia care unit (T4). â‘¢ Peripheral venous blood (5 ml) was collected before surgery and 30 min after extubation and was analyzed by enzyme-linked immunosorbent assay to determine the serum concentration of Clara cell secretory protein 16 (CC16) and surfactant protein D (SP-D).

Result

① Compared with the general surgery group (N = 42), the robot-assisted surgery group (N = 46) presented a significantly higher airway pressure and lower lung compliance during the surgery(P < 0.001). ② In the robot-assisted surgery group, the DE significantly decreased after surgery (P < 0.001), which persisted until patients were discharged from the PACU (P < 0.001), whereas the DTF only showed a transient decrease postoperatively (P < 0.001) and returned to its preoperative levels at discharge (P = 0.115). In the general surgery group, the DE showed a transient decrease after surgery(P = 0.011) which recovered to the preoperative levels at discharge (P = 1). No significant difference in the DTF was observed among T1, T2, T3, and T4. ③ Both the general and robot-assisted surgery reduced the postoperative serum levels of SP-D (P < 0.05), while the robot-assisted surgery increased the postoperative levels of CC16 (P < 0.001).

Conclusion

Robot-assisted laparoscopic surgery significantly impairs postoperative diaphragm function, which does not recover to preoperative levels at PACU discharge. Elevated levels of serum CC16 after surgery suggest potential lung injury. The adverse effects may be attributed to the prolonged Trendelenburg position and pneumoperitoneum during laparoscopic surgery.

Peer Review reports

Introduction

Robot-assisted laparoscopic surgery was evolved to expand the patient base being offered a minimally invasive approach while maximally overcoming the associated limitations of minimally invasive surgery. Due to the tremendous value the robot adds to surgery, it has been widely used in various surgical specialties, however, attendant complications are not rare. The unique logistics of robot-assisted surgical configurations, particularly specialized patient positioning coupled with prolonged surgical times, are key risk factors for pulmonary complications [1, 2].

The Trendelenburg position, where the patient’s head is lowered and the feet are raised above the level of the head, is commonly performed in various surgical procedures, especially in robot-assisted surgeries such as robotic lower abdominal surgery, robot-assisted genitourinary surgery, and robot-assisted gynecologic surgery [3]. With the patient in the Trendelenburg position, gravity forces to keep the intestines away from the pelvis and abdominal cavity, which improves visualization and accessibility by creating more space in the surgical area and reduces the risk of injury by avoiding unexpected movement of organs and tissues. Although the Trendelenburg position provides numerous benefits during robot-assisted surgery, it is not without potential dangers, with the lungs and diaphragm bearing the brunt [4, 5]. On one hand, the displacement of abdominal organs towards the chest leads to decreased lung volumes and compliance. On the other hand, increased intrathoracic pressure and altered abdominal mechanics reduce the diaphragm’s excursion and even induce paradoxical motion thereby limiting the formation of negative pressure. All of the above may result in impaired gas exchange and increased work of breathing, which will be further exacerbated by pneumoperitoneum during laparoscopic surgery [6]. Therefore, special considerations and strategies to closely monitor patients’ respiratory physiology and mitigate these adverse impacts are extremely important for healthcare professionals.

Diaphragm ultrasound has been validated since 1975, while it has only recently gained ground in the field of anesthesia owing to studies indicating a strong link among failure of mechanical weaning, postoperative pulmonary complications, prolonged hospital stay and diaphragmatic dysfunctions [7,8,9]. These studies have also raised interest in the use of diaphragm ultrasound as a reference tool for predicting prognosis in surgical patients. As a new window available to obtain information about dynamics of the thoracic-pulmonary system, we used diaphragm ultrasound to assess the respiratory workload, focusing on the impact of robot-assisted laparoscopic surgery on early postoperative respiratory function in patients with general anesthesia. Meanwhile, we further determine lung injury by monitoring changes in intraoperative respiratory parameters and serum concentrations of lung injury markers including Clara cell secretory protein 16 (CC16) and surfactant protein D (SP-D).

Method

Inclusion and exclusion criteria

Inclusion criteria: (1) Patients undergoing robot-assisted surgery requiring Trendelenburg position and pneumoperitoneum in the anesthesia and operating room of Nanjing Drum Tower Hospital between January 2022 and December 2022, with the main type of surgery being robot-assisted laparoscopic radical prostate/bladder cancer; During the operation, The patient was then placed in a 15°Trendelenburg position, and pneumoperitoneum was maintained at 12 mmHg. Trocar configurations include 2-cm above the umbilicus, ateral margin of rectus abdominis, and anterior axillary line, etc. Surgical steps of robot-assisted laparoscopic radical prostatectomy involve creating a vertical cystotomy, dissecting intravesical structures, performing nerve-sparing dissection, and suturing the urethrovesical anastomosis, etc [10];(2) Patients undergoing general surgery without pneumoperitoneum and in a horizontal position in the anesthesia and operating room of Nanjing Drum Tower Hospital from January 2022 to December 2022, with the main type of surgery being total knee arthroplasty. Surgical steps of total knee arthroplasty involve performing a lateral parapatellar arthrotomy, releasing the Hoffa fat pad, performing bony cuts, and implanting artificial prosthesis, etc [11]. Age range: 18 to 80 years. ASA physical status classification: ASA I to III. Ethical approval obtained from the ethics committee of Nanjing Drum Tower Hospital with approval number: 2021-499-01.

Exclusion criteria: (1) lung disease; (2) history of thoracic and abdominal surgery; (3) diaphragmatic dysfunction; (4) thoracic deformity; (5) body mass index (BMI) ≥ 30 kg/m2; (5) neuromuscular disease; (6) poor quality of ultrasound window; (7) abnormal lung function; (8) severe cardiac disease; (9) coexisting lung infection.

Sample size: Pre-experiment results indicate that the difference in DE before and after surgery is 7.1 ± 3.8 mm in the robot-assisted surgery group, and the average difference in DE before and after surgery is 4.7 ± 4.5 mm in the general surgery group. Using α = 0.05, and power = 0.8, the calculated paired sample size is N = 36. Considering a dropout rate of 10%, the total sample size for both groups is 80 cases.

Data collection

Observation Parameters: The study includes respiratory parameters, perioperative parameters, diaphragm ultrasound parameters, and lung injury parameters. Diaphragm ultrasound and lung injury parameters are the main study parameters, while respiratory parameters, perioperative parameters, and general subject information are secondary parameters. The details and measurement methods of the observation indexes are as follows.

Respiratory parameters: Tidal volume, oxygenation index, partial pressure of end-tidal carbon dioxide (PetCO2), dynamic lung compliance (Cdyn), and peak airway pressure (Ppeak) were recorded at 5 min after intubation, 1 and 2 h after pneumoperitoneum.

Perioperative parameters: heart rate, mean artery pressure (MAP), central venous pressure (CVP), and other circulatory parameters were recorded 5 min after intubation, 1 and 2 h after pneumoperitoneum. At the end of the operation, intraoperative fluid, bleeding, and urine volume were recorded; at the time of extubation, the duration of mechanical ventilation and the level of visual analogue scale (VAS) of pain were recorded.

Diaphragm ultrasound parameters: (1) Diaphragm thickening fraction (DTF): The subject was placed in horizontal position, and a 10 ∼ 15 MHz line array probe was placed in the 8th to 11th intercostal space between the mid-axillary line and the anterior axillary line on the left side of the subject, and a three-layer structure was visible as the diaphragm at a depth of 2 ∼ 4 cm (Fig. 1A). The diaphragm thickness was measured at the end of expiration and the end of inspiration, and the DTF = (end-inspiratory diaphragm thickness - end-expiratory diaphragm thickness)/ end-expiratory diaphragm thickness * 100%. Each subject measured 3 respiratory cycles to calculate the average value; (2) Diaphragm excursion (DE): the subject was placed in the semi-recumbent position, and a 2 ∼ 5 MHz curved array probe was placed at the mid-clavicular line directly below the left rib arch. The ultrasound beam was made as perpendicular to the diaphragm as possible, and a bright line could be seen covering the surface of the liver, which was the diaphragm (Fig. 1B). The distance traveled by the diaphragm during the respiratory cycle was then recorded vertically by changing the mode from B to M. Each subject measured 3 respiratory cycles to calculate the average value [8, 12]. The diagnostic ultrasound machine model was Philips CX50.

Fig. 1
figure 1

Diaphragm ultrasound images. A DTF measured by high-frequency probe in horizontal position; B DE measured by low-frequency probe in semi-recumbent position

Lung injury parameters: Peripheral venous blood(5 ml) was taken from the subjects before operation and 30 min after extubation, respectively; after centrifugation at 3000r/min for 10 min, the upper layer of the clear liquid was taken, and the levels of serum CC16 and SP-D were detected by enzyme-linked immunosorbent assay(Elisa). Human SP-D Elisa kit was provided by MultiSciences(Lianke) Biotechnology Co., Ltd, Human CC16 Elisa kit was provided by Shanghai Enzyme-linked Biotechnology Co., Ltd, and the enzyme marker was provided by Thermo Fisher Scientific (China) Co.

Anesthesia procedure

Patients are monitored with electrocardiography, blood pressure, pulse oximetry, bispectral index (BIS), and invasive blood pressure via radial artery catheterization in perioperative phase. The anesthesia regimen was as follows:(1) induction regimen: midazolam 50 μg/kg compound propofol 1 mg/kg or etomidate 0.2-0.3 mg/kg, vancoson 160 μg/kg, and fentanyl 4 ∼ 6 μg/kg; (2) maintenance regimen: propofol 4 ∼ 6 mg/kg/h, atracurium 80 μg/kg/h, remifentanil 0.05–0.1 μg/kg/min; (3) BIS monitoring was maintained between 40 ∼ 60. Various vasoactive drugs currently commonly used in clinical practice could be used selectively during operation according to the hemodynamic alterations: ephedrine, phenylephrine, and atropine. All drugs were administered intravenously. Intraoperative ventilation mode was volume control ventilation, with a tidal volume of 8 ml/kg, oxygen flow rate of 2 L/min, inhaled oxygen concentration of 100%, inspiratory/expiratory ratio of 1:1.5, respiratory rate of 12 breaths/min, and no positive end-expiratory pressure, which could be appropriately adjusted according to the patient’s PetCO2 level. At the end of the surgery, neostigmine 40pg/kg and atropine 20 Î¼g/kg were given.

The extubation criteria are as follows: (1) The patient is conscious with a BIS value greater than 80, can open eyes on command, and has restored coughing and swallowing reflexes. (2) The ability to lift the head for more than 5 s, and strong hand raising and fist clenching. (3) Regular and steady breathing, with a rate of 10 ∼ 20 breaths/min, and tidal volume reaching 6 ∼ 7 ml/kg. (4) PetCO2 less than or equal to 45mmHg. After extubation, oxygen is provided via a face mask at a flow rate of 5 L/min, and observation continues for more than 30 min. Patients with a Visual Analogue Scale(VAS) of three and higher were given fentanyl 25–50 Î¼g, repeated if necessary. Before each diaphragm ultrasound, subjects have to undergo VAS assessment, and the diaphragm ultrasound is only performed if the score is less than or equal to two. The patient can leave the postanesthesia care unit (PACU) and be transferred to the ward only after being assessed with a Steward score of 6.

Experimental process

(1) Patients were screened according to the inclusion and exclusion criteria, and divided into robot-assisted surgery and general surgery groups.

(2) The patients’ age, gender, height, BMI, ASA classification, diseases, and other general information were recorded before surgery.

(3) Respiratory parameters such as tidal volume, oxygenation index, PetCO2, pulmonary compliance and airway pressure, and circulatory parameters such as heart rate, MAP, and CVP were recorded 5 min after intubation, 1 and 2 h after pneumoperitoneum(robot-assisted surgery group)/skin incision(general surgery group). Diaphragm ultrasound parameters (DE and DTF) are recorded before entering the operating room (T1), immediately after extubation (T2), 10 min after extubation (T3) and upon leaving the PACU (T4); peripheral venous blood(5 ml) was taken from the patients before and 30 min after extubation, and the upper layer of the supernatant was centrifuged at 3,000 r/min for 10 min, then the concentrations of serum CC16 and SP-D were detected using the Elisa (Fig. 2).

Fig. 2
figure 2

Study protocol. Four predefined time points (T1 ∼ T4) when diaphragm ultrasound were performed and perioperative variables were recorded during the operation

Statistical methods

Data will be analyzed using SPSS Version 26.0. Normal data will be presented as mean ± standard deviation and analyzed using one-way repeated measures ANOVA. Non-normal data will be expressed as medians (25th and 75th percentiles) and analyzed using the Wilcoxon signed-rank and Friedman tests with Bonferroni correction. Between-group comparisons will be made using the Mann-Whitney U test. A significance level of P < 0.05 will be considered statistically significant.

Result

General information

A total of 88 participants were enrolled in the study, comprising 46 individuals in the robot-assisted surgery group and 42 in the general surgery group (Fig. 3). There were no statistically significant differences between the two groups concerning demographic information, duration of mechanical ventilation, and intraoperative fluid administration (P > 0.05) (Table 1).

Fig. 3
figure 3

Flow diagram representing patient enrollment and group assignment

Table 1 Demographic and perioperative characteristics of the study patients

Intraoperative changes in respiratory parameters

In the robot-assisted surgery group, a notable increase in peak airway pressure and a significant decrease in lung compliance were observed following pneumoperitoneum initiation (P < 0.001). Conversely, these parameters remained relatively stable in the general surgery group. Both groups exhibited a significant rise in the partial pressure of arterial carbon dioxide (PaCO2) as the mechanical ventilation time extended (P < 0.001). However, no significant differences in the oxygenation index and PaCO2 levels were noted between the two groups (P = 0.358 and P = 0.150, respectively) (Table 2).

Table 2 Intraoperative pulmonary variables during the operation

Postoperative diaphragm movement changes

In the robot-assisted surgery group, there were significant variations in Diaphragm Excursion (DE) at times T1 vs. T2, T3, and T4 (P < 0.001), as well as between T2 and T4 (P < 0.001). For the general surgery group, a significant change in DE was observed only between T1 and T2 (P = 0.011). No statistically meaningful differences in DE were found between T1 vs. T3 or T4 (corrected P = 1) or between T2 and T4 (P = 0.108) (Table 3).

Significant changes in Diaphragm Thickness Fraction (DTF) were found between T1 and T2, as well as between T1 and T3 in the robot-assisted group (P < 0.001). No significant difference in DTF was noted between T1 and T4 (P = 0.115). A significant divergence between T2-DTF and T4-DTF was observed (P = 0.004). In the general surgery group, no statistically significant alterations in DTF were seen across T1, T2, T3, and T4 (P > 0.05) (Table 3).

The postoperative reduction in DE was 19.68% (10.83, 26.53%) in the robot-assisted surgery group compared to 1.31% (-1.83, 6.95%) in the general surgery group, indicating a significant difference (P < 0.001) (Fig. 4).

Table 3 Diaphragm variables at each time point
Fig. 4
figure 4

Decline rate of diaphragm parameters after surgery in two groups; Data are presented as mean ± S.D. Statistical signifcance was tested using Mann-Whitney U test in GraphPad Prism (version 8, GraphPad Software, San Diego, CA, USA). *: p-value < 0.05

Postoperative lung injury parameters’ changes

As presented in Table 4, postoperative levels of SP-D significantly decreased in both the robot-assisted and general surgery group compared to preoperative levels (P < 0.05). Conversely, postoperative levels of CC16 in the robot-assisted group showed a significant increase compared to their preoperative levels (P < 0.001). No such increase was observed in the general surgery group (P = 0.083). Furthermore, postoperative CC16 levels in the robot-assisted surgery group were markedly higher than those in the general surgery group (P < 0.001) (Table 4).

Table 4 Perioperative serum lung injury markers comparison

Discussion

Robot-assisted laparoscopic surgery imposes unique challenges on patients’ postoperative respiratory function due to prolonged Trendelenburg positioning and pneumoperitoneum. In the present study, we noted significant alterations in respiratory mechanics among patients undergoing robot-assisted procedures, specifically increased airway pressures and diminished lung compliance. These changes coincide with the established high-risk factors for ventilator-associated lung injury (VALI) such as elevated airway pressures and high tidal volumes [13]. We observed notable impairments in diaphragmatic movement after surgery, a failure to return to baseline levels in a short term, and a significant rise in serum markers of lung injury.

The etiology of perioperative lung injury in robot-assisted radical prostatectomy is complex, with contributing factors such as volutrauma, barotrauma, atelectrauma, and biotrauma [14]. Traditional ventilation strategies often employ tidal volumes greater than 10 ml/kg to prevent hypercapnia. High tidal volume can lead to alveolar overexpansion (volutrauma) and sustained high airway pressure in the airway(barotrauma), which are important risk factors for VALI [15]. The effects of patient positioning and pneumoperitoneum on robot-assisted radical prostatectomy patients result in the upward displacement of the diaphragm, reduced lung volume, and sustained high airway pressure, leading to a series of lung tissue injuries such as barotrauma and atelectrauma [16]. Protective lung ventilation strategies, incorporating reduced tidal volumes, higher respiratory rates, and suitable positive end-expiratory pressure (PEEP), can mitigate these risks. Appropriate PEEP ventilation can balance the lateral displacement of the diaphragm, increase lung volume, and reduce the incidence of atelectasis [16, 17]. Studies have shown that a high PEEP level of 15 cm H2O during robot-assisted radical prostatectomy can improve ventilation in gravity-dependent areas of the lung, achieving gas exchange in the lung that is closer to physiological conditions [18]. Despite the substantial clinical evidence confirming the benefits of lung protective ventilation strategy in reducing acute lung injury and the incidence of postoperative pulmonary complications (PPCs), the evidence for applying lung protective ventilation strategy in the general perioperative population remains unclear. A study by Santer P et al. has shown a significant correlation between increased respiratory frequency and the occurrence of PCCs [19]. High-frequency ventilation can increase lung tension, intrapulmonary pressure, and dead cavity volume, leading to hypercapnia. Additionally, there is still controversy regarding whether individuals without preoperative lung conditions can benefit from protective lung ventilation strategy [20].

The diaphragmatic function was particularly compromised in the robot-assisted surgery group, with significant decreases in DE and DTF. DE refers to the distance the diaphragm moves from end-expiration to end-inspiration in a single breath, while DTF is the ratio of diaphragm thickening from end-expiration to end-inspiration. Both DE and DTF are closely related to patient lung function and inspiratory effort [21, 22]. In this study, patients undergoing robot-assisted surgery exhibited a significant decrease in DE during extubation compared to patients undergoing general surgery. While some recovery was noted in the post-anesthesia care unit (PACU), levels failed to return to baseline before discharge. Patients undergoing robot-assisted surgery also experienced a transient decrease in DTF after surgery, while returned to baseline before discharge. The Trendelenburg position and pneumoperitoneum force the diaphragm towards the cranial side, leading to a decrease in lung volume and an increase in airway pressure. It has been suggested that the decrease in lung volume during surgery and the anatomical characteristics of the diaphragm itself are possible reasons for postoperative diaphragm movement impairment, although this view remains contentious [5]. Factors contributing to diaphragmatic dysfunction are multifaceted. Previous studies have shown that prolonged mechanical ventilation can lead to significant atrophy of diaphragm muscle fibers, and control mode ventilation are significant influencing factor in diaphragm dysfunction [23, 24]. Moreover, compared to general surgery, the robot-assisted laparoscopic surgery requires higher muscle relaxation, and the traditional extubation process dominated by muscle strength, consciousness, and spontaneous breathing has been shown to potentially lead to the development of muscle relaxation residuals [25]. Residual muscle relaxation is also one of the possible reasons for impaired diaphragm function after surgery. As the patient’s diaphragm is in a myorelaxed state during surgery and diaphragmatic movement is generated by pressure-driven generation from the ventilator, changes in DE and DTF during mechanical ventilation were not observed in this study.

Our study also noted significant changes in serum markers of lung injury, specifically surfactant protein D (SP-D) and Clara cell secretory protein 16 (CC16). Serum concentrations of SP-D and CC16 are elevated when alveolar-capillary barrier function is impaired. The serum concentrations of CC16 and SP-D have been shown to be strongly related to the severity of lung injury [26, 27].

SP-D is a collagen glycoprotein secreted by type II alveolar cells and Clara cells, participating in lung inflammation and immune response processes [28]. Elevated serum SP-D concentrations have been proven to be closely related to pneumonia, chronic obstructive pulmonary disease, and PPCs [29]. Changes in serum SP-D concentrations during the perioperative period are related to elevated alveolar permeability. Alveoli with decreased compliance repeatedly collapse and re-expand during the respiratory cycle, and high-intensity shear forces on the alveolar surface lead to sustained damage to alveolar epithelial cells and vascular endothelial cells. Previous studies have shown that serum SP-D concentrations remain unchanged after elective surgery, whereas patients undergoing cardiac surgery had significantly higher postoperative SP-D compared to preoperative levels [30, 31]. In this study, the postoperative SP-D levels of both groups were significantly lower than their preoperative levels, which is consistent with the results of Serpa Neto et al. [32]. With its high relative molecular mass (560 kDa), mild lung injury and elevated alveolar permeability did not result in a significant increase in serum SP-D concentrations. The dilution of serum SP-D concentrations by positive perioperative fluid balance is the possible cause of the postoperative decrease in SP-D concentrations.

CC16 is a small protein (16 kDa) secreted by Clara cells in the respiratory epithelium. When the alveolar-capillary membrane barrier is compromised, CC16, which is mainly present in the alveolar epithelial lining fluid, enters the bloodstream in large quantities [26]. Compared to SP-D, CC16 has a lower relative molecular mass, making it easier to pass through the alveolar-capillary membrane barrier. In this study, the postoperative CC16 levels of patients in the robot-assisted surgery group were significantly higher than their preoperative levels, while there were no statistically significant differences in CC16 levels before and after surgery in the general surgery group. The postoperative CC16 levels in the robot-assisted surgery group were significantly higher than those in the general surgery group. Alveolar hyperexpansion due to high airway pressures during surgery in the robot-assisted surgery group was the likely cause of the elevated postoperative CC16 levels compared with patients in the general surgery group. However, these observations are confined to the immediate PACU period, representing a study limitation.

Conclusion

In summary, our findings indicate that patients undergoing robot-assisted laparoscopic surgery experience significant postoperative impairments in diaphragmatic function, which do not return to baseline levels at PACU discharge. Elevated postoperative serum CC16 levels were also notable, suggesting that the prolonged Trendelenburg position and pneumoperitoneum might be contributing factors. The study’s limitations, including its single-center focus and limited follow-up period, necessitate further research to corroborate these findings.

Data availability

The data are not publicly available due to our laboratory’s confidentiality policy. If editors, reviewers, or other researchers want to request the data from this study, please contact Dr Xue(xueshuo23@163.com).

References

  1. Awad H, Walker CM, Shaikh M, Dimitrova GT, Abaza R, O’Hara J. Anesthetic considerations for robotic prostatectomy: a review of the literature. J Clin Anesth. 2012;24(6):494–504.

    Article  PubMed  Google Scholar 

  2. Andersson LE, Baath M, Thorne A, Aspelin P, Odeberg-Wernerman S. Effect of carbon dioxide pneumoperitoneum on development of atelectasis during anesthesia, examined by spiral computed tomography. Anesthesiology. 2005;102(2):293–9.

    Article  PubMed  Google Scholar 

  3. Arvizo C, Mehta ST, Yunker A. Adverse events related to Trendelenburg position during laparoscopic surgery: recommendations and review of the literature. Curr Opin Obstet Gynecol. 2018;30(4):272–8.

    Article  PubMed  Google Scholar 

  4. Kim MS, Kim NY, Lee KY, Choi YD, Hong JH, Bai SJ. The impact of two different inspiratory to expiratory ratios (1:1 and 1:2) on respiratory mechanics and oxygenation during volume-controlled ventilation in robot-assisted laparoscopic radical prostatectomy: a randomized controlled trial. Can J Anaesth. 2015;62(9):979–87.

    Article  PubMed  Google Scholar 

  5. Kim K, Kim KS, Jeon AR, Park JY, Choi WJ. Changes in diaphragmatic excursion and lung compliance during gynaecologic surgery: open laparotomy versus laparoscopy-a prospective observational study. Sci Rep. 2020;10(1):21458.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kabakchiev C, Valverde A, Singh A, Beaufrère H. (Oryctolagus cuniculus)Cardiovascular and respiratory effects of carbon dioxide pneumoperitoneum in the domestic rabbit. Can J Veterinary Res = Revue canadienne de recherche veterinaire. 2020;84(2):108–14.

    CAS  Google Scholar 

  7. Turton P, Alaidarous S, Welters I. A narrative review of diaphragm ultrasound to predict weaning from mechanical ventilation: where are we and where are we heading? Ultrasound J. 2019;11(1).

  8. Tuinman PR, Jonkman AH, Dres M, Shi ZH, Goligher EC, Goffi A, de Korte C, Demoule A, Heunks L. Respiratory muscle ultrasonography: methodology, basic and advanced principles and clinical applications in ICU and ED patients-a narrative review. Intensive Care Med. 2020;46(4):594–605.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Haber K, Asher WM, Freimanis AK. Echographic evaluation of diaphragmatic motion in intra-abdominal diseases. Radiology. 1975;114(1):141–4.

    Article  CAS  PubMed  Google Scholar 

  10. Zhou X, Fu B, Zhang C, Liu W, Guo J, Chen L, Lei E, Zhang X, Wang G. Transvesical robot-assisted radical prostatectomy: initial experience and surgical outcomes. BJU Int. 2020;126(2):300–8.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Greenberg A, Kandel L, Liebergall M, Mattan Y, Rivkin G. Total knee arthroplasty for valgus deformity via a lateral approach: clinical results, comparison to medial approach, and review of recent literature. J Arthroplast. 2020;35(8):2076–83.

    Article  Google Scholar 

  12. Matamis D, Soilemezi E, Tsagourias M, Akoumianaki E, Dimassi S, Boroli F, Richard J, Brochard L. Sonographic evaluation of the diaphragm in critically ill patients. Technique and clinical applications. Intensive Care Med. 2013;39(5):801–10.

    Article  PubMed  Google Scholar 

  13. Weinberger J, Cocoros N, Klompas M. Ventilator-associated events: epidemiology, risk factors, and prevention. Infect Dis Clin North Am. 2021;35(4):871–99.

    Article  PubMed  Google Scholar 

  14. Haribhai S, Mahboobi SK. Ventilator complications. StatPearls. edn. Treasure Island (FL); 2022.

  15. Marley RA, Simon K. Lung-protective ventilation. Annu Rev Nurs Res. 2017;35(1):37–53.

    Article  PubMed  Google Scholar 

  16. Cinnella G, Grasso S, Spadaro S, Rauseo M, Mirabella L, Salatto P, De Capraris A, Nappi L, Greco P, Dambrosio M. Effects of recruitment maneuver and positive end-expiratory pressure on respiratory mechanics and transpulmonary pressure during laparoscopic surgery. Anesthesiology. 2013;118(1):114–22.

    Article  CAS  PubMed  Google Scholar 

  17. Futier E, Constantin JM, Pelosi P, Chanques G, Kwiatkoskwi F, Jaber S, Bazin JE. Intraoperative recruitment maneuver reverses detrimental pneumoperitoneum-induced respiratory effects in healthy weight and obese patients undergoing laparoscopy. Anesthesiology. 2010;113(6):1310–9.

    Article  PubMed  Google Scholar 

  18. Shono A, Katayama N, Fujihara T, Bohm SH, Waldmann AD, Ugata K, Nikai T, Saito Y. Positive end-expiratory pressure and distribution of ventilation in pneumoperitoneum combined with steep Trendelenburg position. Anesthesiology. 2020;132(3):476–90.

    Article  PubMed  Google Scholar 

  19. Santer P, Zheng S, Hammer M, Nabel S, Pannu A, Li Y, Ramachandran SK, Vidal Melo MF, Eikermann M. Ventilatory frequency during intraoperative mechanical ventilation and postoperative pulmonary complications: a hospital registry study. Br J Anaesth. 2020;125(1):e130–9.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Schultz M. Lung-protective mechanical ventilation with lower tidal volumes in patients not suffering from acute lung injury: a review of clinical studies. Med Sci Monitor: Int Med J Experimental Clin Res. 2008;14(2):RA22–26.

    Google Scholar 

  21. Schulz A, Erbuth A, Boyko M, Vonderbank S, Gurleyen H, Gibis N, Bastian A. Comparison of ultrasound measurements for diaphragmatic mobility, diaphragmatic thickness, and diaphragm thickening fraction with each other and with lung function in patients with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2022;17:2217–27.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Umbrello M, Formenti P, Lusardi AC, Guanziroli M, Caccioppola A, Coppola S, Chiumello D. Oesophageal pressure and respiratory muscle ultrasonographic measurements indicate inspiratory effort during pressure support ventilation. Br J Anaesth. 2020;125(1):e148–57.

    Article  PubMed  Google Scholar 

  23. Levine S, Nguyen T, Taylor N, Friscia ME, Budak MT, Rothenberg P, Zhu J, Sachdeva R, Sonnad S, Kaiser LR, et al. Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med. 2008;358(13):1327–35.

    Article  CAS  PubMed  Google Scholar 

  24. Kim WY, Lim CM. Ventilator-induced diaphragmatic dysfunction: diagnosis and role of pharmacological agents. Respir Care. 2017;62(11):1485–91.

    Article  PubMed  Google Scholar 

  25. Saager L, Maiese EM, Bash LD, Meyer TA, Minkowitz H, Groudine S, Philip BK, Tanaka P, Gan TJ, Rodriguez-Blanco Y, et al. Incidence, risk factors, and consequences of residual neuromuscular block in the United States: the prospective, observational, multicenter RECITE-US study. J Clin Anesth. 2019;55:33–41.

    Article  PubMed  Google Scholar 

  26. Determann RM, Millo JL, Waddy S, Lutter R, Garrard CS, Schultz MJ. Plasma CC16 levels are associated with development of ALI/ARDS in patients with ventilator-associated pneumonia: a retrospective observational study. BMC Pulm Med. 2009;9:49.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Determann RM, Royakkers AA, Haitsma JJ, Zhang H, Slutsky AS, Ranieri VM, Schultz MJ. Plasma levels of surfactant protein D and KL-6 for evaluation of lung injury in critically ill mechanically ventilated patients. BMC Pulm Med. 2010;10:6.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Grosicka A, Manasar A, Kucharz EJ, Kotyla PJ. Serum concentration of surfactant protein D in patients with systemic sclerosis: the potential marker of the interstitial lung disease severity. Best Pract Res Clin Rheumatol. 2018;32(4):541–9.

    Article  PubMed  Google Scholar 

  29. Fakih D, Akiki Z, Junker K, Medlej-Hashim M, Waked M, Salameh P, Holmskov U, Bouharoun-Tayoun H, Chamat S, Sorensen GL, et al. Surfactant protein D multimerization and gene polymorphism in COPD and asthma. Respirology. 2018;23(3):298–305.

    Article  PubMed  Google Scholar 

  30. Engels GE, Gu YJ, van Oeveren W, Rakhorst G, Mariani MA, Erasmus ME. The utility of lung epithelium specific biomarkers in cardiac surgery: a comparison of biomarker profiles in on- and off-pump coronary bypass surgery. J Cardiothorac Surg. 2013;8:4.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Determann RM, Wolthuis EK, Choi G, Bresser P, Bernard A, Lutter R, Schultz MJ. 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):L344–350.

    Article  CAS  PubMed  Google Scholar 

  32. Serpa Neto A, Campos PP, Hemmes SN, Bos LD, Bluth T, Ferner M, Guldner A, Hollmann MW, India I, Kiss T, et al. Kinetics of plasma biomarkers of inflammation and lung injury in surgical patients with or without postoperative pulmonary complications. Eur J Anaesthesiol. 2017;34(4):229–38.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This study was supported by National Natural Science Foundation of China, 81870875.

Author information

Authors and Affiliations

Authors

Contributions

W.Z. designed this work and revised this manuscript. S.X. and D.W. completed this work and wrote the main manuscript text. HQ.T. prepared Figs. 1, 2, 3 and 4; Tables 1, 2, 3 and 4. XP.G., ZL.M., and Y.L. provided technical guidance. All authors reviewed the manuscript.

Corresponding author

Correspondence to Wei Zhang.

Ethics declarations

Ethics approval and consent to participate

Ethical approval obtained from the ethics committee of Nanjing Drum Tower Hospital with approval number: 2021-499-01. Before enrollment in this study, informed consent was obtained from all subjects and/or their legal guardian(s).

Consent for publication

Not Applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xue, S., Wang, D., Tu, HQ. et al. The effects of robot-assisted laparoscopic surgery with Trendelenburg position on short-term postoperative respiratory diaphragmatic function. BMC Anesthesiol 24, 92 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12871-024-02463-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12871-024-02463-3

Keywords