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Effect of pneumoperitoneum pressure and the depth of neuromuscular block on renal function in patients with diabetes undergoing laparoscopic pelvic surgery: study protocol for a double-blinded 2 × 2 factorial randomized controlled trial

Abstract

Background

Patients with diabetes mellitus are at a high risk of developing postoperative acute kidney injury. For patients receiving laparoscopic surgery, standard-pressure pneumoperitoneum (SPP) currently applied in clinical practice also undermines renal perfusion. Several studies have shown that low-pressure pneumoperitoneum (LPP) might reduce pressure-related ischemic renal injury. However, LPP may compromise the view of the surgical field. Previous studies have indicated that deep neuromuscular blockade (NMB) can ameliorate this issue. However, the conclusion is still uncertain. The hypothesis of this study is that the joint use of LPP and deep NMB can reduce perioperative renal injury in diabetic patients undergoing laparoscopic pelvic surgery without impeding the view of the surgical field.

Methods

This is a double-blinded, randomized controlled trial using a 2 × 2 factorial trial design. A total of 648 diabetes patients scheduled for major laparoscopic pelvic surgeries at Peking Union Medical College Hospital will be randomized into the following four groups: SPP (12–15 mmHg) + deep-NMB (post-tetanic count of 1–2) group, LPP (7–10 mmHg) + deep-NMB group, SPP + moderate-NMB (train-of-four of 1–2) group, and LPP + moderate-NMB group. The primary outcome is serum cystatin C level measured before insufflation, after deflation, 24 h postoperatively, and 72 h postoperatively. The secondary outcomes are serum creatinine level, intraoperative urine output, erythrocytes in urinary sediment, renal tissue oxygen saturation, Leiden’s surgical condition rating scale, surgery duration, and occurrence of bucking or body movement.

Discussion

This study will provide evidence for the effect of LPP on renal function protection in patients with diabetes undergoing laparoscopic pelvic surgery. The trial can also help us to understand whether deep NMB can improve surgical conditions.

Trial registration

ClinicalTrials.gov: NCT04259112. Prospectively registered on 5 February 2020.

Peer Review reports

Background

Globally, the number of diabetes mellitus patients has quadrupled in the last 30 years, and China has the fastest growing epidemic of type 2 diabetes [1]. More than half of these patients suffer from at least one diabetic complication [2]. In China, the prevalence of diabetic kidney disease is as high as 24.3% in patients with type 2 diabetes [3], making it the leading cause of end-stage renal disease (ESRD) [4]. Renal failure accounts for approximately 10% of mortality in the presence of type 2 diabetes [5]; thus, the progression of diabetic nephropathy should be prevented as early as possible.

Postoperative acute kidney injury (AKI) affects 13–20% of patients undergoing major surgery [6, 7] and is associated with substantial morbidity and mortality [8, 9]. Pre-existing chronic kidney disease, including diabetic kidney disease, is associated with an increased risk of postoperative AKI [10]. Furthermore, diabetes is also an independent risk factor for postoperative AKI [11, 12]; thus, patients with diabetes deserve particular attention in terms of perioperative renal protection. According to the 2012 Kidney Disease: Improving Global Outcomes (KDIGO) criteria, AKI refers to the sudden decrease in renal function, defined by an elevation in serum creatinine (Cr) level or a decrease in urine output [13]. However, since an increase in Cr level may occur 2–3 days after renal ischemia [14], more sensitive biomarkers are necessary for the early recognition and prevention of AKI. Serum cystatin C (CysC) is one of these biomarkers [15]. In addition, renal oxygen saturation is also a promising predictor for AKI [16, 17].

Patients undergoing abdominal surgery are more likely to develop AKI than those undergoing other noncardiac, nonvascular surgeries [12, 18]. Pneumoperitoneum is necessary for better visualization and manipulation in laparoscopic surgery. The increased intra-abdominal pressure (IAP) induced by pneumoperitoneum can activate the renin-angiotensin-aldosterone system (RAAS) and cause renal vascular and parenchymal compression [19], which will further undermine renal perfusion and create ischemic insults [20]. Prior literature has demonstrated the association between increased IAP and AKI in critically ill patients after abdominal surgery [21, 22]. Intraoperative oliguria and diminished glomerular filtration rates have also been observed [23]. These changes deteriorate with increases in pressure and extended durations [23]. However, several studies have reported conflicting results, indicating that laparoscopic surgery does not carry an additional risk of postoperative AKI [24,25,26]. Therefore, high-quality evidence is needed for a better understanding.

Low-pressure pneumoperitoneum (LPP, 7–10 mmHg) is recommended to minimize the ischemic organ injury caused by standard-pressure pneumoperitoneum (SPP, 12–15 mmHg) [27]. LPP has been successfully used in a series of abdominal and pelvic surgeries, such as laparoscopic hysterectomy, cholecystectomy, and adrenalectomy [28,29,30,31]. However, LPP compromises the working space and surgical field, leading to prolonged surgical durations [32]. Fortunately, studies have shown that deep neuromuscular blockade (NMB) can ameliorate this issue [33, 34] and facilitate the use of LPP [35,36,37]. However, such effects are still controversial [38, 39]; thus, further studies are still required.

Therefore, the objective of this study is to assess the effect of LPP versus SPP on renal function protection in patients with diabetes undergoing laparoscopic pelvic surgery and to evaluate whether deep NMB can improve surgical conditions compared with moderate NMB. We hypothesize that the use of LPP, facilitated by deep NMB, can improve postoperative renal function after laparoscopic pelvic surgeries.

Methods/design

Study design

This is a double-blinded, randomized controlled trial using a 2 × 2 factorial trial design, aiming to investigate the effect of pneumoperitoneum pressure and the depth of NMB on renal function in patients with diabetes undergoing laparoscopic pelvic surgery. Participants will be divided into the following four groups: (1) standard PP + deep NMB (S + D), (2) low PP + deep NMB (L + D), (3) standard PP + moderate NMB (S + M), and (4) low PP + moderate NMB (L + M) (Table 1). Deep NMB and moderate NMB are defined as a post-tetanic count (PTC) of 1–2 and a train-of-four (TOF) of 1–2, respectively. The pneumoperitoneum pressure will be set to 7–10 mmHg in the LPP groups and 12–15 mmHg in the SPP groups. We assume that no interaction is present between the two interventions being assessed on the primary outcome. The protocol is in accordance with the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines (Additional file 1). The study flow chart is demonstrated in Fig. 1, and the overall schedule of enrollment, interventions, and assessments is shown in Table 1. All the members of the research team will be trained on the procedures prior to study commencement.

Table 1 Schedule of enrollment, interventions, and assessments
Fig. 1
figure1

Flow chart of study design

Settings

The study will be conducted in Peking Union Medical College Hospital (PUMCH), which is a tertiary general teaching hospital with 2200 beds in Beijing, China. An average of 20 elective pelvic surgeries are performed by five surgeons on each working day. The Ethics Committees of this hospital (reference number: ZS-1654) approved the trial.

Participant selection

All patients scheduled for elective laparoscopic pelvic surgeries under general anesthesia will be screened for eligibility by an investigator who will not be involved in the process of randomization, intervention, data collection, or outcome assessment. Patients will be considered eligible if they meet the inclusion criteria and do not meet the exclusion criteria. Written informed consent will be obtained after evaluation.

The inclusion criteria are as follows:

  • Age 18–70 years

  • American Society of Anesthesiologist (ASA) Classification II-III

  • Diagnosis of diabetes mellitus

  • Estimated surgery duration > 3 h. The estimated surgery duration will be determined by the average duration of the same type of surgery by the same surgeon in the last year.

The exclusion criteria are as follows:

  • Not willing to participate in the study or unable to sign informed consent

  • Diagnosis of any kidney diseases other than diabetic kidney diseases

  • Severe renal insufficiency defined as serum Cr > 2 times the upper limit of normal, urine output < 0.5 ml/kg/h, or estimated glomerular filtration rate (eGFR) < 60 ml/h

  • Severe liver, lung or heart dysfunction

  • Known or suspected neuromuscular disease

  • Use of drugs that may affect neuromuscular block monitoring

  • Severe diabetic neuropathy or any other peripheral neuropathy

  • Known or suspected allergy to general anesthetics

  • Family history of malignant hyperthermia

  • Previous history of pelvic surgery

Randomization and blinding

After enrollment, just prior to the surgery, the patients will be randomized by a statistician without the knowledge of random allocation in a balanced manner to one of the four groups. The allocation sequence will be computer-generated using random block sizes and will be kept in an opaque sealed envelope. These assignment envelopes will only be opened by a nurse, who will set the pneumoperitoneum pressure, prepare the muscle relaxant, and monitor the depth of NMB. Therefore, participants, anesthesiologists, surgeons, and outcome assessors will all be blinded to the allocation throughout the trial.

Interventions

Anesthesia

An intravenous (IV) cannula will be inserted for the administration of anesthetic drugs. All enrolled patients will receive total intravenous anesthesia (TIVA). Intraoperative monitoring will include electrocardiography (ECG), pulse oximetry (SpO2), invasive arterial blood pressure (ABP), stroke volume (SV) and stroke volume variation (SVV) measured by LiDCO-rapid™, inspiratory and expiratory gas analysis, pressure of end tidal carbon dioxide (PetCO2), tidal volume, airway pressure, bispectral index (BIS), cerebral oxygen saturation, renal tissue oxygen saturation, nasopharyngeal temperature, and peripheral skin temperature. Anesthesia will be induced via the target-controlled infusion (TCI) of propofol (at an effect-site concentration of 6 μg/ml) and a bolus injection of 2–3 μg/kg fentanyl or 0.2–0.3 μg/kg sufentanil. Endotracheal intubation will be performed after the administration of a predefined dose of rocuronium based on the grouping. Anesthesia will be maintained with a TCI of propofol and continuous infusion of remifentanil. Mean blood pressure and heart rate fluctuations will be maintained within 20% of baseline, and the targeted BIS value will be 50–60. Fluid infusion will be adjusted to maintain SV < 10% and SVV < 13. Patients will be mechanically ventilated using a volume-controlled pattern with a tidal volume of 7–9 ml/kg and a frequency of 10–13/min. PetCO2 will be maintained between 35 and 45 mmHg. Forced-air warming will be used to maintain central and peripheral skin temperatures ≥ 36 °C and 32 °C, respectively.

Neuromuscular block monitoring and management

NMB will be monitored by acceleromyography at the adductor pollicis muscle using TOF-watch-SX™ (Organon, Oss, Netherlands) [40]. The arm without the IV cannula will be abducted and stabilized on an arm board. The thumb will be fixed to a flexible adaptor that will provide a constant preload. The other four fingers will be secured to minimize movement during nerve stimulation. After degreasing and cleansing of the skin with alcohol, two stimulating electrodes will be attached over the ulnar nerve, with the negative electrode on the wrist and the positive electrode placed 3–6 cm proximally. A transducer will be placed at the tip of the adductor pollicis. After the eyelash reflex disappears but before the administration of rocuronium, the TOF-watch-SX™ will be calibrated via the following steps. (1) A maximal response will be obtained using single-twitch stimulation (1 Hz for 0.2 ms) by gradually increasing the electrical current from 10 mA. (2) A supramaximal response will be triggered by an electrical current 15% above that necessary for a maximal response. (3) The TOF pattern (a set of four supramaximal stimuli at 2 Hz for 0.2 ms) will be applied to test the stability of the baseline response (variation in the TOF ratio < 5%) for 3 min. If the baseline response is not stable, the device will be recalibrated. Mask ventilation will be performed during calibration.

After successful calibration, 0.6 mg/kg rocuronium will be administered in the two moderate-NMB groups (S + M group and L + M group) and 1 mg/kg in the two deep-NMB groups (S + D group and L + D group). The TOF ratio will be measured every 1 min during anesthesia. When there is no response to TOF, the PTC pattern will be applied every 5 min, which is a single-twitch stimulation (2 Hz for 0.2 ms) starting 3 s after a tetanic stimulus (50 Hz for 5 s). In the two moderate-NMB groups, rocuronium will be continuously infused at an initial rate of 0.3 mg/kg/h, and the rate will be adjusted to maintain a TOF of 1–2. In the two deep-NMB groups, the infusion rate will be 0.6 mg/kg/h at first and then titrated for a targeted PTC of 1–2. Rocuronium infusion will be discontinued when pneumoperitoneum deflates.

Rocuronium (10 mg/ml) will be diluted by the nurse aware of the allocation. The concentration used at induction will be 0.1 × body weight (Wt) mg/ml in the deep-NMB groups and 0.06 × Wt mg/ml in the moderate-NMB groups; thus, 10 ml will be given in all four groups. The concentrations used for continuous infusion in the deep-NMB and moderate-NMB groups will be 0.06 × Wt mg/ml and 0.03 × Wt mg/ml, respectively; thus, the initial rate should be 10 ml/h. Therefore, one cannot tell the grouping from the injection dose or pump rate. An opaque curtain will be used to cover the NMB monitor. Only the nurse will be allowed to access the monitor and see the screen. If the NMB depth deviates from the target, the nurse will ask the anesthesiologist to adjust the pump rate.

Pneumoperitoneum pressure management

The nurse aware of the allocation will be the first to enter the operating room. She will initially set the pneumoperitoneum pressure at 7 mmHg in the LPP group and 12 mmHg in the SPP group. The pneumoperitoneum pressure can be increased to a maximum of 10 mmHg in the LPP group and 15 mmHg in the SPP group, if the surgery cannot proceed due to poor surgical sight. All the screens displaying intra-abdominal pressure will be covered with opaque tape; thus, the patients, surgeons, and data collectors will be blinded. The pneumoperitoneum pressure will remain unchanged during surgery.

Surgical condition rating

A well-validated, 5-point scale, Leiden’s surgical condition rating scale (Table 2) [33], will be used. The laparoscopic pelvic surgeries for the enrolled patients will be performed by five surgeons. Before the study begins, they will be asked to watch the videos demonstrating examples of scales 1–5.

Table 2 The surgical rating score [33]

During the surgery, the surgeon will evaluate with the scale every 15 min starting from the introduction of the first trocar. At the same time, a 1-min video will be recorded by a camera connected to the endoscopic probe. The other four surgeons who will not perform this surgery will evaluate by watching videos independently. If the surgical condition suddenly worsens, additional assessments will be performed.

Postoperative management

Patients will stay in the postanesthesia care unit for 15–20 min and then return to the surgical ward, where they will spend at least 3 days before discharge. Nephrotoxic medications will be avoided in the postoperative period.

Outcome measures

The primary outcome is serum CysC level, which is a sensitive biomarker of renal injury, and this will be measured 30 min before pneumoperitoneum insufflation (T1), 30 min after pneumoperitoneum deflation (T2), 24 h postoperatively (T3), and 72 h postoperatively (T4). Among them, T1 will be the baseline. The mean difference of the serum CysC between groups will be used as the effect measure. We will compare the serum CysC between groups throughout T2, T3, and T4, using mixed-effect model which can provide an estimate for the overall effect in the whole timeframe.

The secondary outcomes include four indicators of renal function: (1) serum Cr level measured at T1, T2, T3, and T4; (2) intraoperative urine output; (3) the presence of erythrocytes in urinary sediment on postoperative days 1 and 3; and (4) renal tissue oxygen saturation measured every 15 min following pneumoperitoneum insufflation, and cerebral oxygen saturation will be used as an internal reference to adjust individualized differences. The other three secondary outcomes selected to evaluate surgical conditions are (1) surgical condition rating scale measured every 15 min starting from the introduction of the first trocar by five surgeons independently, (2) duration of surgery, and (3) the occurrence of bucking or body movement during the surgery. The details of the secondary outcomes are demonstrated in Table 3.

Table 3 The secondary outcomes

Data collection

The following demographic data and previous medical history will be collected by a data collector preoperatively from the medical records: sex, age, height, weight, duration of diabetes, and the presence of any complications of diabetes.

Peripheral venous blood samples will be extracted at T1, T2, T3, and T4, and urine samples will be obtained on the morning of postoperative days 1 and 3. The samples will be sent immediately to the clinical laboratory in PUMCH and will be analyzed by the staff there. Blood samples will be centrifuged at room temperature to obtain serum. Serum CysC concentration will be determined by sandwich enzyme-linked immunosorbent assay (ELISA), and Cr will be measured using an enzymatic method. Urine samples will be analyzed by automated urine microscopy analysis. All the samples will be handled within one hour since their arrival at the laboratory. We do not plan to store the samples after the study.

During the surgery, in addition to the secondary outcomes, two data collectors will record the heart rate, ABP, SV, and SVV every 15 min. They will also record the amount of crystalloid and colloid infused, the amount of transfusions, and the estimated blood loss.

There is an anesthesiologist and a surgeon in charge of monitoring the adherence to the protocol. Any suspected nonadherence during participant recruitment, randomization, intervention, data collection, or outcome assessment will be recorded. Based on the intention-to-treat (ITT) principle, all the randomized participants will be analyzed, despite any nonadherence to the protocol.

Data will be collected in the paper-based case report form (CRF) and then entered into a digital database by two independent investigators. Each patient will be distinguished by a unique serial number, and his or her name will be concealed. The database will be secured by a password, which will be restricted to the Data Safety Monitoring Committee (DMC), which is composed of two anesthesiologists with more than 10 years of experience. They will check the completeness and accuracy of the data, and the auditing will be independent from that of the other investigators. The information recorded in medical charts and saved in monitors will be traced to correct and supplement the data. The database will be locked up after the entry of the last case. The allocation will not be unblinded until all data analysis is completed; thus, the data analyst will also be blinded.

Sample size calculation and statistical analysis

A previous study [15] reported that the standard deviation of serum CysC level after laparoscopic procedures is 0.738 ± 0.186 mg/dl. For a CysC difference of 0.05 mg/dl to be considered clinically significant, a power analysis program (G* power 3.1) calculated that a total sample size of 582 patients is needed to achieve 90% power at the 5% significance level. Considering a 10% dropout rate, a total of 648 patients (162 per group) is necessary. Approximately 5000 patients are scheduled for elective major pelvic surgery in PUMCH every year, and approximately 15% of them have diabetes; thus, one year is estimated as necessary to achieve adequate participant enrollment.

We will first compare the two SPP groups with the two LPP groups and then compare the two deep-NMB groups with the two moderate-NMB groups. Finally, all four groups will be compared.

The baseline characteristics and intraoperative factors of the enrolled patients will be evaluated using descriptive analysis. Continuous variables will be summarized as the mean  ±  standard deviation (SD) or median (interquartile range, IQR) as appropriate, whereas categorial variables will be summarized as the number (percentage). The baseline characteristics will be compared between groups using the standardized difference, and a standardized difference < 0.2 will be considered an acceptable balance between groups. Unbalanced variables at baseline will be included in the ANOVA or mixed-effects model to adjust for the potential confounding effect.

Considering the multiple measures of CysC, Cr, surgical condition rating scale, and renal tissue oxygen saturation at different time points, the effect of intervention in the whole timeframe will be analyzed by a mixed-effects model. Other continuous variables will be compared by two-sided independent Student’s t tests or the Mann–Whitney U test, as appropriate. Categorical variables will be analyzed by a Chi-square test or Fisher’s exact test, as appropriate. The Bonferroni method will be used to correct the potential increase in the probability of a type I error when analyzing the differences between the four groups.

We will also investigate the interaction between pneumoperitoneum pressure and NMB on postoperative renal function. The difference in serum Cysc levels at T2 between the S + D and L + D groups will be compared with that between the S + M and L + M groups. If there is no significant difference, we will assume there is no interaction.

We will perform statistical analysis using R (version 3.4.4). Two-sided P values < 0.05 will be considered significant.

Based on ITT principle, we will analyze all the post-randomization cases, including the ones with missing data. The missing data of the repeatedly measured outcomes will be imputed using the “last observation carried forward” method, while the missing data of other outcomes will be imputed by baseline data. Sensitivity analysis will be performed to assess the bias that may be introduced due to nonadherence to protocol or missing data.

Adverse events

We anticipate that the potential risk of this study is minimal. First, to minimize the risks of failure in performing surgeries under LPP, we will exclude patients with a history of pelvic procedures, which may lead to adhesions and may increase the manipulation difficulty. Furthermore, all five surgeons involved have at least 10 years of experience in performing laparoscopic surgeries. Second, SPP has been safely used in PUMCH for more than 20 years. Patients with severe liver, heart, lung and kidney dysfunction will be excluded; thus, the potential risk of irreversible ischemic organ injury caused by SPP should be extremely low. Third, rocuronium is mainly metabolized in the liver, and no evidence exists to show that the dosage used in deep NMB has renal toxicity in patients without ESRD. Finally, to avoid residual paralysis, 6 mg neostigmine will be given at the end of surgery to antagonize the residual muscle relaxant, and patients will not be extubated until the TOF ratio is > 90%.

Adverse events information will be collected spontaneously from the participants during the follow-up and recorded in CRFs with details (time, severity, treatment, outcome, and the relationship to the intervention). Serious adverse events will be reported to the medical ethics committee.

Discussion

To the best of our knowledge, this is the first trial to date assessing the effects of pneumoperitoneum pressure and NMB on postoperative renal function in diabetes patients. Accumulating evidence shows the benefits of combined LPP and deep NMB in reducing postoperative pain and enhancing recovery [28, 34]. However, several other studies have found negative results [41, 42]. Furthermore, previous research did not focus on renal function or diabetes patients. Considering the increasing prevalence of diabetes and the poor prognosis of renal complications, our study can provide important evidence on intraoperative renal protection in this high-risk population. Another strength of this study is that we plan to evaluate renal function using multiple biomarkers, including CysC and Cr levels, erythrocytes in urinary sediment, intraoperative urine output, and renal tissue oxygen saturation. We anticipate that their sensitivity will allow us to detect small changes in renal function. Furthermore, we will collect data on other intraoperative factors that may affect renal perfusion, such as hemodynamic indices and infused fluid, so we can test their balance and adjust potential confounding effects if necessary.

Our study is limited by the following aspects. First, we will exclude patients with ASA IV or with severe organ dysfunction; thus, the conclusion of this study cannot be generalized to critical cases. Second, since the surgeons involved in this study are experienced in laparoscopic procedures, they may have lower requirements for pneumoperitoneum pressure. Third, for the concern of workload, the diagnosis of diabetes will be based on the patients’ medical records rather than the “gold criteria,” the oral glucose tolerance test (OGTT). Therefore, some patients with undiagnosed early diabetes may be inadvertently excluded. Finally, unexpected events may occur, such as an actual surgery duration > 3 h or conversion to open surgery. Based on the ITT principle, the data of these cases should also be collected and analyzed. Considering the equal likelihood of the occurrence of non-adherence in each group, the effect on the results should be low.

In conclusion, our study will investigate the effects of LPP and deep NMB on postoperative renal function and surgical conditions. We hope this study can shed light on intraoperative renal protection in diabetes patients receiving laparoscopic surgeries.

Trial status

The study protocol corresponds to the first version of the protocol, as submitted to ClinicalTrials.gov (URL: https://clinicaltrials.gov/ct2/show/NCT04259112, identifier: NCT04259112) on February 5, 2020. The recruitment will start on August 1, 2020, and will be completed on December 31, 2021. Data assessment should be completed in April 2022.

Availability of data and materials

All data generated or analyzed for the trial protocol are included in this published article. The data generated from the completed trial will be available from the corresponding author on reasonable request.

Abbreviations

ESRD:

End-stage renal disease

AKI:

Acute kidney injury

KDIGO:

Kidney Disease: Improving Global Outcomes

Cr:

Creatinine

CysC:

Cystatin C

IAP:

Intra-abdominal pressure

RAAS:

Renin-angiotensin-aldosterone system

LPP:

Low-pressure pneumoperitoneum

SPP:

Standard-pressure pneumoperitoneum

NMB:

Neuromuscular blockade

S + D:

Standard-pressure pneumoperitoneum + deep neuromuscular blockade group

L + D:

Low-pressure pneumoperitoneum + deep neuromuscular blockade group

S + M:

Standard-pressure pneumoperitoneum + moderate neuromuscular blockade group

L + M:

Low-pressure pneumoperitoneum + moderate neuromuscular blockade group

PTC:

Post-tetanic count

TOF:

Train-of-four

SPIRIT:

Standard Protocol Items: Recommendations for Interventional Trials

PUMCH:

Peking Union Medical College Hospital

ASA:

American Society of Anesthesiologist

eGFR:

Estimated glomerular filtration rate

IV:

Intravenous

TIVA:

Total intravenous anesthesia

ECG:

Electrocardiography

SpO2 :

Pulse oximetry

ABP:

Arterial blood pressure

SV:

Stroke volume

SVV:

Stroke volume variation

PetCO2 :

Pressure of end tidal carbon dioxide

BIS:

Bispectral index

TCI:

Target-controlled infusion

Wt:

Body weight

ELISA:

Enzyme-linked immunosorbent assay

CRF:

Case report form

ITT:

Intention-to-treat

SD:

Standard deviation

IQR:

Interquartile range

OGTT:

Oral glucose tolerance test

References

  1. 1.

    Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14(2):88–98. https://doi.org/10.1038/nrendo.2017.1151..

    Article  PubMed  Google Scholar 

  2. 2.

    Litwak L, Goh SY, Hussein Z, et al. Prevalence of diabetes complications in people with type 2 diabetes mellitus and its association with baseline characteristics in the multinational A1chieve study. Diabetol Metab Syndr. 2013;5(1):57. https://doi.org/10.1186/1758-5996-1185-1157.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Huang YM, Xu D, Long J, et al. Spectrum of chronic kidney disease in China: a national study based on hospitalized patients from 2010 to 2015. Nephrology (Carlton). 2019;24(7):725–36. https://doi.org/10.1111/nep13489.

    Article  Google Scholar 

  4. 4.

    Zhang L, Long J, Jiang W, et al. Trends in chronic kidney disease in China. N Engl J Med. 2016;375(9):905–6. https://doi.org/10.1056/NEJMc1602469.

    Article  PubMed  Google Scholar 

  5. 5.

    van Dieren S, Beulens JW, van der Schouw YT, et al. The global burden of diabetes and its complications: an emerging pandemic. Eur J Cardiovasc Prev Rehabil. 2010;17(Suppl 1):S3–8. https://doi.org/10.1097/1001.hjr.0000368191.0000386614.0000368195a.

    Article  PubMed  Google Scholar 

  6. 6.

    Mathis MR, Naik BI, Freundlich RE, et al. Preoperative risk and the association between hypotension and postoperative acute kidney injury. Anesthesiology. 2019;26(10):0000000000003063.

    Google Scholar 

  7. 7.

    Vaara ST, Bellomo R. Postoperative renal dysfunction after noncardiac surgery. Curr Opin Crit Care. 2017;23(5):440–6. https://doi.org/10.1097/MCC.0000000000000439.

    Article  PubMed  Google Scholar 

  8. 8.

    Zarbock A, Koyner JL, Hoste EAJ, et al. Update on perioperative acute kidney injury. Anesth Analg. 2018;127(5):1236–45. https://doi.org/10.1213/ANE.0000000000003741.

    Article  PubMed  Google Scholar 

  9. 9.

    Goren O, Matot I. Perioperative acute kidney injury. Br J Anaesth. 2015;115(Suppl 2):ii3–14. https://doi.org/10.1093/bja/aev1380.

    Article  PubMed  Google Scholar 

  10. 10.

    Long TE, Helgason D, Helgadottir S, et al. Acute kidney injury after abdominal surgery: incidence, risk factors, and outcome. Anesth Analg. 2016;122(6):1912–20. https://doi.org/10.1213/ANE.0000000000001323.

    Article  PubMed  Google Scholar 

  11. 11.

    Biteker M, Dayan A, Tekkesin AI, et al. Incidence, risk factors, and outcomes of perioperative acute kidney injury in noncardiac and nonvascular surgery. Am J Surg. 2014;207(1):53–9. https://doi.org/10.1016/j.amjsurg.2013.1004.1006.

    Article  PubMed  Google Scholar 

  12. 12.

    Kheterpal S, Tremper KK, Heung M, et al. Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set. Anesthesiology. 2009;110(3):505–15. https://doi.org/10.1097/ALN.1090b1013e3181979440.

    Article  PubMed  Google Scholar 

  13. 13.

    Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med. 2013;158(11):825–30. https://doi.org/10.7326/0003-4819-158-11-201306040-00007.

    Article  PubMed  Google Scholar 

  14. 14.

    Ho J, Tangri N, Komenda P, et al. Urinary, plasma, and serum biomarkers’ utility for predicting acute kidney injury associated with cardiac surgery in adults: a meta-analysis. Am J Kidney Dis. 2015;66(6):993–1005. https://doi.org/10.1053/j.ajkd.2015.1006.1018.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Lima RM, Navarro LH, Nakamura G, et al. Serum cystatin C is a sensitive early marker for changes in the glomerular filtration rate in patients undergoing laparoscopic surgery. Clinics (Sao Paulo). 2014;69(6):378–83. https://doi.org/10.6061/clinics/2014(6006)6002.

    Article  Google Scholar 

  16. 16.

    Choi DK, Kim WJ, Chin JH, et al. Intraoperative renal regional oxygen desaturation can be a predictor for acute kidney injury after cardiac surgery. J Cardiothorac Vasc Anesth. 2014;28(3):564–71. https://doi.org/10.1053/j.jvca.2013.1012.1005.

    Article  PubMed  Google Scholar 

  17. 17.

    Ruf B, Bonelli V, Balling G, et al. Intraoperative renal near-infrared spectroscopy indicates developing acute kidney injury in infants undergoing cardiac surgery with cardiopulmonary bypass: a case-control study. Crit Care. 2015;19:27. https://doi.org/10.1186/s13054-13015-10760-13059.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Kim M, Brady JE, Li G. Variations in the risk of acute kidney injury across intraabdominal surgery procedures. Anesth Analg. 2014;119(5):1121–32. https://doi.org/10.1213/ANE.0000000000000425.

    Article  PubMed  Google Scholar 

  19. 19.

    Dunn MD, McDougall EM. Renal physiology. Laparoscopic considerations. Urol Clin North Am. 2000;27(4):609–14. https://doi.org/10.1016/s0094-0143(05)70110-5.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Villa G, Samoni S, De Rosa S, et al. The pathophysiological hypothesis of kidney damage during intra-abdominal hypertension. Front Physiol. 2016;7:55. https://doi.org/10.3389/fphys.2016.00055.

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Patel DM, Connor MJ Jr. Intra-abdominal hypertension and abdominal compartment syndrome: an underappreciated cause of acute kidney injury. Adv Chronic Kidney Dis. 2016;23(3):160–6. https://doi.org/10.1053/j.ackd.2016.1003.1002.

    Article  PubMed  Google Scholar 

  22. 22.

    Demarchi AC, de Almeida CT, Ponce D, et al. Intra-abdominal pressure as a predictor of acute kidney injury in postoperative abdominal surgery. Ren Fail. 2014;36(4):557–61. https://doi.org/10.3109/0886022X.0882013.0876353.

    Article  PubMed  Google Scholar 

  23. 23.

    Demyttenaere S, Feldman LS, Fried GM. Effect of pneumoperitoneum on renal perfusion and function: a systematic review. Surg Endosc. 2007;21(2):152–60. https://doi.org/10.1007/s00464-006-0250-x.

    Article  PubMed  Google Scholar 

  24. 24.

    Masoomi H, Carmichael JC, Dolich M, et al. Predictive factors of acute renal failure in colon and rectal surgery. Am Surg. 2012;78(10):1019–23.

    PubMed  Google Scholar 

  25. 25.

    Moghadamyeghaneh Z, Phelan MJ, Carmichael JC, et al. Preoperative dehydration increases risk of postoperative acute renal failure in colon and rectal surgery. J Gastrointest Surg. 2014;18(12):2178–85. https://doi.org/10.1007/s11605-014-2661-7.

    Article  PubMed  Google Scholar 

  26. 26.

    Nguyen NT, Perez RV, Fleming N, et al. Effect of prolonged pneumoperitoneum on intraoperative urine output during laparoscopic gastric bypass. J Am Coll Surg. 2002;195(4):476–83.

    Article  Google Scholar 

  27. 27.

    Neudecker J, Sauerland S, Neugebauer E, et al. The European Association for Endoscopic Surgery clinical practice guideline on the pneumoperitoneum for laparoscopic surgery. Surg Endosc. 2002;16(7):1121–43. https://doi.org/10.1007/s00464-001-09166-7.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Madsen MV, Istre O, Staehr-Rye AK, et al. Postoperative shoulder pain after laparoscopic hysterectomy with deep neuromuscular blockade and low-pressure pneumoperitoneum: a randomised controlled trial. Eur J Anaesthesiol. 2016;33(5):341–7. https://doi.org/10.1097/EJA.0000000000000360.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Sandhu T, Yamada S, Ariyakachon V, et al. Low-pressure pneumoperitoneum versus standard pneumoperitoneum in laparoscopic cholecystectomy, a prospective randomized clinical trial. Surg Endosc. 2009;23(5):1044–7. https://doi.org/10.1007/s00464-00008-00119-00462.

    Article  PubMed  Google Scholar 

  30. 30.

    Schietroma M, Pessia B, Stifini D, et al. Effects of low and standard intra-abdominal pressure on systemic inflammation and immune response in laparoscopic adrenalectomy: a prospective randomised study. J Minim Access Surg. 2016;12(2):109–17. https://doi.org/10.4103/0972-9941.178513.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Xia PT, Yusofu M, Han HF, et al. Low-pressure pneumoperitoneum with abdominal wall lift in laparoscopic total mesorectal excision for rectal cancer: initial experience. World J Gastroenterol. 2018;24(11):1278–84. https://doi.org/10.3748/wjg.v1224.i1211.1278.

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Gurusamy KS, Vaughan J, Davidson BR. Low pressure versus standard pressure pneumoperitoneum in laparoscopic cholecystectomy. Cochrane Database Syst Rev. 2014;(3):CD006930. https://doi.org/10.1002/14651858.CD006930.pub3.

  33. 33.

    Martini CH, Boon M, Bevers RF, et al. Evaluation of surgical conditions during laparoscopic surgery in patients with moderate vs deep neuromuscular block. Br J Anaesth. 2014;112(3):498–505. https://doi.org/10.1093/bja/aet1377.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Kim MH, Lee KY, Lee KY, et al. Maintaining optimal surgical conditions with low insufflation pressures is possible with deep neuromuscular blockade during laparoscopic colorectal surgery: a prospective, randomized, double-blind, parallel-group clinical trial. Medicine (Baltimore). 2016;95(9):e2920. https://doi.org/10.1097/MD.0000000000002920.

    Article  Google Scholar 

  35. 35.

    Özdemir-van Brunschot DMD, Braat AE, van der Jagt MFP, et al. Deep neuromuscular blockade improves surgical conditions during low-pressure pneumoperitoneum laparoscopic donor nephrectomy. Surg Endosc. 2018;32(1):245–51.

    Article  Google Scholar 

  36. 36.

    Koo BW, Oh AY, Seo KS, et al. Randomized clinical trial of moderate versus deep neuromuscular block for low-pressure pneumoperitoneum during laparoscopic cholecystectomy. World J Surg. 2016;40(12):2898–903. https://doi.org/10.1007/s00268-016-03633-8.

    Article  PubMed  Google Scholar 

  37. 37.

    Staehr-Rye AK, Rasmussen LS, Rosenberg J, et al. Surgical space conditions during low-pressure laparoscopic cholecystectomy with deep versus moderate neuromuscular blockade: a randomized clinical study. Anesth Analg. 2014;119(5):1084–92. https://doi.org/10.1213/ANE.0000000000000316.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Kopman AF, Naguib M. Laparoscopic surgery and muscle relaxants: is deep block helpful? Anesth Analg. 2015;120(1):51–8. https://doi.org/10.1213/ANE.0000000000000471.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Barrio J, Errando CL, Garcia-Ramon J, et al. Influence of depth of neuromuscular blockade on surgical conditions during low-pressure pneumoperitoneum laparoscopic cholecystectomy: a randomized blinded study. J Clin Anesth. 2017;42:26–30. https://doi.org/10.1016/j.jclinane.2017.1008.1005.

    Article  PubMed  Google Scholar 

  40. 40.

    Fuchs-Buder T, Claudius C, Skovgaard LT, et al. Good clinical research practice in pharmacodynamic studies of neuromuscular blocking agents II: the Stockholm revision. Acta Anaesthesiol Scand. 2007;51(7):789–808. https://doi.org/10.1111/j.1399-6576.2007.01352.x.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Ozdemir-van Brunschot DMD, Braat AE, van der Jagt MFP, et al. Deep neuromuscular blockade improves surgical conditions during low-pressure pneumoperitoneum laparoscopic donor nephrectomy. Surg Endosc. 2018;32(1):245–51. https://doi.org/10.1007/s00464-017-5670-2.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Ozdemir-van Brunschot DMD, Scheffer GJ, van der Jagt M, et al. Quality of recovery after low-pressure laparoscopic donor nephrectomy facilitated by deep neuromuscular blockade: a randomized controlled study. World J Surg. 2017;41(11):2950–8. https://doi.org/10.1007/s00268-017-04080-x.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The study is supported by the project of “Muscle relaxant reversal in general anesthesia and enhanced recovery after surgery” of Wu Jieping Medical Foundation (award number: 320.6750.18175, contact: wjpmf@wjpmf.org). The sponsor will not be involved in study design; collection, management, analysis, or interpretation of data; writing of the report; or the decision to submit the report for publication.

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Authors

Contributions

XX registered the trial and was a major contributor in writing the manuscript. YG designed the study and applied for ethical approval. YH helped revise the manuscript. JL provided guidance for neuromuscular monitoring. All authors read and approved the final manuscript. For trial publications in the future, all the investigators involved in participant recruitment, randomization, intervention, data collection, outcome assessment, data analysis, and manuscript revision will have the right of authorship. There is no plan to use professional writers.

Corresponding author

Correspondence to Yahong Gong.

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Ethics approval and consent to participate

Ethical approval has been obtained from the institutional review board of Peking Union Medical College Hospital (reference number: ZS-1654). Written informed consent will be sought from the participants before the start of the recruitment.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary information

Additional file 1.

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) Checklist.

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Xu, X., Gong, Y., Zhang, Y. et al. Effect of pneumoperitoneum pressure and the depth of neuromuscular block on renal function in patients with diabetes undergoing laparoscopic pelvic surgery: study protocol for a double-blinded 2 × 2 factorial randomized controlled trial. Trials 21, 585 (2020). https://doi.org/10.1186/s13063-020-04477-x

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Keywords

  • Diabetes, Pneumoperitoneum pressure, Neuromuscular block, Renal injury, Renal protection, Laparoscopic surgery