Skip to main content

Impact of goal-directed hemodynamic management on the incidence of acute kidney injury in patients undergoing partial nephrectomy: a pilot randomized controlled trial

Abstract

Background

The incidence of acute kidney injury (AKI) remains high after partial nephrectomy. Ischemia-reperfusion injury produced by renal hilum clamping during surgery might have contributed to the development of AKI. In this study we tested the hypothesis that goal-directed fluid and blood pressure management may reduce AKI in patients following partial nephrectomy.

Methods

This was a pilot randomized controlled trial. Adult patients who were scheduled to undergo partial nephrectomy were randomized into two groups. In the intervention group, goal-directed hemodynamic management was performed from renal hilum clamping until end of surgery; the target was to maintain stroke volume variation < 6%, cardiac index 3.0–4.0 L/min/m2 and mean arterial pressure > 95 mmHg with crystalloid fluids and infusion of dobutamine and/or norepinephrine. In the control group, hemodynamic management was performed according to routine practice. The primary outcome was the incidence of AKI within the first 3 postoperative days.

Results

From June 2016 to January 2017, 144 patients were enrolled and randomized (intervention group, n = 72; control group, n = 72). AKI developed in 12.5% of patients in the intervention group and in 20.8% of patients in the control group; the relative reduction of AKI was 39.9% in the intervention group but the difference was not statistically significant (relative risk 0.60, 95% confidence interval [CI] 0.28–1.28; P = 0.180). No significant differences were found regarding AKI classification, change of estimated glomerular filtration rate over time, incidence of postoperative 30-day complications, postoperative length of hospital stay, as well as 30-day and 6-month mortality between the two groups.

Conclusion

For patients undergoing partial nephrectomy, goal-directed circulatory management during surgery reduced postoperative AKI by about 40%, although not significantly so. The trial was underpowered. Large sample size randomized trials are needed to confirm our results.

Trial registration

Clinicaltrials.gov identifier: NCT02803372. Date of registration: June 6, 2016.

Peer Review reports

Background

Partial nephrectomy through an open incision or laparoscopic way is increasingly used to treat renal tumor with benefits of sparing nephrons and preserving renal function [1]. However, removal of renal parenchyma [2, 3], suture damage and ischemia-reperfusion injury [4] during partial nephrectomy all compromise renal function. The reported incidence of acute kidney injury (AKI) after partial nephrectomy ranged from 16.5 to 42%, and even up to 54% in solitary kidney patients [5,6,7]. In the study of Rajan et al. [8], 39% of patients developed AKI after partial nephrectomy; specifically, 33% had stage 1, 4% had stage 2, and 2% had stage 3 AKI after surgery. The occurrence of postoperative AKI is significantly associated with increased risks of renal function decline and chronic kidney diseases [6, 9], as well as adverse cardiovascular events and even mortality [10].

Many effects have been performed to preserve residual renal function, such as improving surgical skill, sparing more normal nephrons and shortening ischemic duration. Furthermore, improving renal tissue perfusion and alleviating ischemia-reperfusion injury (IRI) caused by renal hilum clamping may also provide renal protection. Indeed, stroke volume guided fluid infusion and inotropic therapy improves global oxygen delivery, microvascular flow and tissue oxygenation [11]. However, evidence regarding the effect of circulatory management on AKI development after partial nephrectomy is limited. Available studies mainly focused on major abdominal surgeries and gave conflicting results. For example, Pearse et al. [12] found that cardiac output–guided hemodynamic management did not reduce complications; whereas Futier et al. [13] reported that individualized blood pressure management reduced postoperative organ dysfunction. Partial nephrectomy usually involves renal hilum clamping and declamping, similar to kidney transplantation to some extent. Kidney transplantation represents a typical situation of ischemia-reperfusion; it is recommended to maintain high central venous pressure (CVP > 8 mmHg) and high mean arterial pressure (MAP > 95 mmHg) with crystalloid hydration and vasoactive drugs at the time of hilum declamping in order to improve reperfusion [14,15,16,17,18]. As a dynamic parameter, stroke volume variation can be used to replace central venous pressure in evaluating volume status [19]. We hypothesized that a similar strategy of crystalloid hydration and hemodynamic management based on stroke volume monitoring during partial nephrectomy might also protect kidney.

The purpose of this pilot randomized trial was to test the effects of goal-directed fluid and blood pressure management on the incidence of AKI in patients following partial nephrectomy for renal cancer.

Methods

Study design

This pilot randomized controlled trial which was performed in a tertiary hospital in Beijing, China. The study protocol was approved by the Clinical Research Ethics Committee of Peking University First Hospital (2016[1118]) and was a priori registered with ClinicalTrials.gov (NCT02803372) on June 6, 2016. Written informed consents were obtained from all participants.

Participants

Potential participants were screened the day before surgery. The inclusion criteria were adult (≥ 18 years) patients scheduled to undergo elective laparoscopic or open partial nephrectomy. Patients who met any of the following criteria were excluded: (1) severe renal function impairment (estimated glomerular filtration rate [eGFR] < 45 ml/min/1.73 m2), (2) arrhythmia or impaired cardiac function (New-York Heart Association classification ≥ III), (3) bilateral renal surgery, (4) solitary kidney, (5) anticipated massive blood loss (≥ 800 ml) and requirement of artificial colloid infusion, or (6) American Society Anesthesiologist classification ≥ IV.

Baseline data were collected after obtaining written informed consents and included demographic variables, previous comorbidities, results of important laboratory tests, results of tumor examination, American Society of Anesthesiologists classification, and Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score. PADUA score is a simple anatomical system used to predict the risk of perioperative surgical and medical complications in patients undergoing nephron-sparing surgery; the score ranges from 6 to 14, a score ≥ 8 indicates high risk of complications [20].

Randomization and blinding

Patients were randomly allocated to either the intervention group (goal-directed hemodynamic management) or the control group (routine hemodynamic management) in a 1:1 ratio according to computer-generated random numbers. The allocation was sealed in opaque envelopes until shortly before anesthesia induction. Randomization and group assignment were performed by a study coordinator who did not participate in perioperative care and data collection. Anesthesiologists who were responsible for anesthetic management were not involved in follow-up. Investigators who performed postoperative follow-up and patients were masked from study group assignment.

Intervention, anesthesia and perioperative care

Routine intraoperative monitoring included electrocardiogram, non-invasive blood pressure, pulse oxygen saturation, end-tidal carbon dioxide, volatile anesthetic concentration, bispectral index, and urine output. Invasive blood pressure was monitored after anesthesia induction. Intraoperative blood pressure and heart rate were recorded automatically every 10 s by the Anesthesia Information System. Patients in the intervention group were connected to a LiDCOrapid monitor (LiDCO Ltd., HM81–01, UK) which continuously displayed hemodynamic variables including stroke volume variation (SVV) and cardiac index (CI).

No premedication was administered. General anesthesia was performed for all patients. Anesthesia was induced with midazolam, propofol/etomidate, sufentanil, and rocuronium; and maintained with intravenous propofol, remifentanil/sufentanil, rocuronium/cisatracurium, and 50% nitrous oxide inhalation. The target was to maintain bispectral index between 40 and 60. Patients were ventilated through an endotracheal tube or a laryngeal mask airway with a tidal volume of 8–10 ml/kg.

For patients in the intervention group, goal-directed hemodynamic management was performed from renal hilum clamping until end of surgery. The target was to maintain a SVV < 6%, a CI between 3.0 and 4.0 L/min/m2, and a MAP > 95 mmHg with crystalloid fluids and intravenous infusion of dobutamine and/or norepinephrine. Volume loading with 250-ml crystalloid fluid was rapidly infused to achieve SVV < 6%. Dobutamine was infused from 2 μg/kg/min and adjusted by anesthesiologists to achieve the target of CI and MAP. Ephedrine was also administered to achieve this target when necessary. In case that hemodynamic target was not achieved or heart rate > 120% of baseline or > 100 beats per minute, norepinephrine infusion was added and adjusted. For patients in the control group, hemodynamic management was performed according to routine practice, i.e., blood pressure was maintained within 20% from baseline and a urine output > 0.5 ml/kg/h with crystalloid fluids and intravenous injection of ephedrine.

Laparoscopic partial nephrectomy was performed through retropneumoperitoneum with a carbon dioxide pressure of 12–14 mmHg. Open partial nephrectomy was performed when the laparoscopic way was not applicable. Surgery was performed with patients in the lateral position or, in some cases, in the supine position. As a routine practice, renal artery clamping was applied during resection of renal parenchyma. Diuretics such as mannitol and/or furosemide were administered at the discretion of attending surgeons. Dexamethasone (5–10 mg) and tropisetron (5 mg) could be administered to prevent postoperative nausea and vomiting. Non-steroid anti-inflammatory drugs and artificial colloids were not allowed in both groups. Blood transfusion was provided when considered necessary.

After surgery, analgesia were provided with a patient-controlled analgesia pump which was established with sufentanil (1.25 μg/ml) or morphine (0.5 mg/ml) and programmed to administer 2-ml boluses with a lockout interval of 6–8 min and a background infusion rate at 1 ml/h. Patients were encouraged to eat and drink the day of surgery. Diuretics were provided when considered necessary.

Outcome assessment

Patients were followed up daily during the first 3 postoperative days, then weekly until 30 days after surgery, and at 3 and 6 months after surgery. Telephone interview was performed for patients after hospital discharge (Supplementary File 1). The primary endpoint was the incidence of AKI within the first 3 postoperative days. The occurrence of AKI was diagnosed according to the serum creatinine level based on the Kidney Disease: Improving Global Outcomes (KDIGO) definition [21], i.e., an increase in serum creatinine by > 0.3 mg/dl (> 26.5 μmol/l) within 48 h, or an increase in serum creatinine to > 1.5 times from baseline within 3 days.

The secondary endpoints included stages of AKI, postoperative length of hospital stay, postoperative complications within 30 days, and 30-day and 6-month mortality. The stage of AKI was classified according to the KDIGO criteria: stage 1, serum creatinine 1.5–1.9 times baseline or increase by ≥0.3 mg/dl within 48 h; stage 2, serum creatinine 2–2.9 times baseline; and stage 3, serum creatinine 3 times baseline or ≥ 4.0 mg/dl (≥ 353.6 μmol/l) or initiation of renal replacement therapy [21]. An exploratory endpoint was estimated glomerular filtration rate (eGFR) on postoperative days 1, 2, and 3 which was calculated with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation [22].

Statistical analysis

Sample size calculation

Previous studies showed that AKI developed in 42% of patients after partial nephrectomy [5]. In patients recovering from major abdominal surgery, the incidence of AKI was decreased by up to 60% with optimized hemodynamic strategy [11, 13]. We assumed that the incidence of AKI following partial nephrectomy would be reduced to 20% in patients with goal-directed hemodynamic management, i.e., a 52% reduction. With significance level set at 0.05 and power set at 80%, 68 patients in each group was required. We planned to enroll 72 patients per group to allow for a 5% dropout rate.

Outcome analysis

Baseline balance was assessed with absolute standardized difference, calculated as the absolute difference in means, medians, or proportions divided by the pooled standard deviation [23]. Baseline variables with an absolute standardized difference ≥ 0.327 (i.e., \( 1.96\times \sqrt{\left(\mathrm{n}1+\mathrm{n}2\right)/\left(\mathrm{n}1\times \mathrm{n}2\right)} \)) were considered imbalanced and would be adjusted in all analyses when considered necessary.

The primary outcome, i.e., the incidence of AKI within 3 days after surgery, was compared with Chi-square tests, with differences between groups expressed as relative risk (95% CI). Other numeric variables were analyzed using the independent t test (data with normal distribution) or Mann-Whitney U test (data with non-normal distribution). Categorical variables were evaluated using the Chi-square test or Fisher’s exact test. Repeatedly measured variables like eGFR change over time between groups were analyzed by two-factor repeated measures ANOVA. Repeated measured hemodynamic variables (CI and SVV before and after reperfusion) within the same group were analyzed by Wilcoxon signed-rank test. A two-sided P <  0.05 was considered statistically significant. Analyses were performed in the intention-to-treat population. Per-protocol analysis was also performed for the primary endpoint. All analyses were performed using SPSS 25.0 software package (IBM SPSS, Chicago, IL).

Results

From June 16, 2016 to January 2, 2017, 264 patients were screened for study participation. Of these, 144 patients were enrolled into the study and randomly assigned to either the intervention group (n = 72) or the control group (n = 72). All patients were analyzed according to the intention-to-treat principle. One patient in the intervention group did not undergo renal hilum clamping; one patient in the control group converted to radical nephrectomy. They were excluded from per-protocol analysis for the primary outcome (Fig. 1). Overall, baseline variables were well balanced between two groups except that baseline systolic blood pressure (SBP) was lower in the intervention group than in the control group (Table 1).

Fig. 1
figure1

Flowchart of the study. ITT, intention-to treat. PP, per-protocol

Table 1 Baseline data

As expected, patients in the intervention group were given more dobutamine (P <  0.001) and norepinephrine (P = 0.028) during surgery when compared with the control group; they received more intraoperative fluid infusion (P = 0.012) and gave more urine output (P = 0.020). After reperfusion, SBP and MAP were higher, and heart rate (HR) was faster in the intervention group than in the control group (all P < 0.001). Other intraoperative variables were comparable between the two groups. For patients in the intervention group, the mean CI was higher whereas the mean SVV was lower after reperfusion than that before clamping (both P < 0.001) (Table 2).

Table 2 Intra−/postoperative variables

AKI developed in 12.5% (9/72) of patients in the intervention group and in 20.8% (15/72) of patients in the control group; the relative reduction of AKI was 39.9% in the intervention group but difference was not statistically significant (relative risk [RR] 0.60, 95% CI 0.28–1.28; P = 0.180). Per-protocol analysis also showed no significant difference between groups (12.7% [9/71] vs. 21.1% [15/71], RR 0.60, 95% CI 0.28–1.28; P = 0.179) (Table 3).

Table 3 Efficacy outcomes

Regarding secondary endpoints, there were no significant differences in AKI classification, incidence of postoperative 30-day complications, postoperative length of hospital stay, as well as 30-day and 6-month mortality between groups (Table 3). None of patient who developed AKI received renal replacement therapy during the postoperative follow-up period. No significant difference was seen in eGFR change over time between two groups (Fig. 2). Safety outcomes from anesthesia induction to 2 h after surgery did not differ between two groups (Table 4).

Fig. 2
figure2

eGFR changes over time between groups. P = 0.221 (two-factor repeated measures ANOVA). eGFR, estimated glomerular filtration; calculated according to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation [22]

Table 4 Safety outcomesa

Discussion

Results of this pilot trial showed that, for patients undergoing partial nephrectomy for renal cancer, goal-directed fluid and blood pressure management reduced AKI by about 40%. However, the trial was under-powered. Large randomized controlled trials are required to confirm our results.

In the present study, AKI occurred in 20.8% of control group patients. This was lower than we expected [5], but was still within the reported range [5,6,7,8, 24, 25]. Two reasons might explain the unexpected lower incidence of AKI in our control group patients. The first one is the diagnostic criteria. AKI is usually diagnosed within 7 postoperative days according to the KDIGO criteria. In the present study, the majority of our patients were discharged within 3 to 4 days after partial nephrectomy. Furthermore, diuretics were commonly used during the perioperative period, these made urine output an unreliable parameter for AKI diagnosis; and early urine catheter removal made it difficult to monitor urine output per hour in the ward. Therefore, we diagnosed AKI only according to serum creatinine change within 3 postoperative days. This might have underestimated the rate of AKI development. However, recent studies also showed that the majority of surgery-related acute kidney injury occurred within 48 h of surgery [26]. Secondly, the improvement of surgeons’ skill and surgical technique helped preserve renal function. For example, the durations of renal hilus clamping and surgery were shorter in our patients than in previous studies [8, 24, 25].

Routine circulatory management during partial nephrectomy is to maintain blood pressure change within 20% from baseline and urine output > 0.5 ml/kg/h. However, the incidence of AKI remains high after surgery [8, 24, 25]. Experience from kidney transplantation suggested that maintaining adequate renal hydration and higher blood pressure after reperfusion (i.e., CVP > 8 mmHg and MAP > 95 mmHg) are beneficial for graft function [14, 15, 18]. Similar hemodynamic therapy may also relieve ischemia-reperfusion injury and protect renal function after partial nephrectomy.

Kidney is more sensitive to inadequate hydration compared with other organs. As Myles et al. [27] reported, restrictive fluid therapy is associated with a higher risk of AKI in renal transplant recipients. Static cardiac filling pressures such as CVP correlate poorly with the intravascular volume [28]; and hydration according to static parameters may induce excessive fluid infusion [29]. Better hemodynamic monitoring can be achieved with LiDCOrapid, a minimal invasive device that can monitor SVV, cardiac output and cardiac index through pressure contour analysis [30]. As a dynamic parameter, SVV is capable to reflect volume responsiveness and replace CVP [19, 28]. It was found that the optimal cutoff value of SVV is 6% and can be used as an alternative to CVP of 8 mmHg during kidney transplantation [19]. Therefore, SVV was maintained < 6% in this pilot trial as a hydration goal.

Cardiac output is an indicator of oxygen delivery and organ perfusion but is often compromised during general anesthesia. Studies showed that low-dose inotropic therapy is associated with an improved global oxygen delivery and tissue oxygenation [11]. However, in the study of Pearse et al. [12], cardiac-output guided hemodynamic management did not reduce complications including AKI after major gastrointestinal surgery. To be noted, dopexamine, a β2-agonist with both inotropic and vasodilator effects, was infused to obtain cardiac inotropy in the above study; blood pressure was ignored and might even be lower than usual due to the vasodilator effects of dopexamine, and as a result renal perfusion pressure was not guaranteed. In clinical practice, dopamine is also frequently used to increase blood pressure during kidney transplantation. But studies indicate that dopamine does not improve kidney function; on the contrary, it may produce potential harmful effects [31]. In this pilot study, dobutamine was adopted to maintain normal cardiac output and MAP > 95 mmHg in the intervention group; norepinephrine was infused if necessary.

This pilot study was the first to explore the effect of goal-directed circulatory management on renal function after partial nephrectomy. It seems that circulatory management with the goals of SVV < 6%, MAP > 95 mmHg and CI 3.0–4.0 L/min/m2 based on LiDCOrapid hemodynamic monitoring didn’t significantly reduce postoperative AKI when compared with routine circulatory management, very possibly due to under-powered sample size. However, the relative risk reduction of AKI approaches 40%, which cannot be ignored and is clinically important. Our trial was underpowered because AKI incidence was lower than expected, and intervention reduced AKI by 40% rather than anticipated 52%. With the baseline AKI incidence of 20.8% and treatment effect of 40%, 626 patients would be required to provide 80% power. Further studies with larger sample sizes are needed to confirm our results.

Our study confirmed that patients’ overall renal function declined after surgery and, of those who developed AKI, most had mild renal injury. Our results were similar to previous studies [8]. Severe AKI is associated with increased mortality [32]; furthermore, mild AKI also negatively affected long-term functional recovery after partial nephrectomy and may increase the proportion of CKD upstaging [33, 34].

There are some limitations in this trial. Firstly, as a single-center study, the generalizability of our results may be limited. Secondly, interventions could not be blinded to anesthesiologists taking care of patients, which may bring bias. To reduce the related bias, anesthesiologists did not participate in patient recruitment and postoperative follow-up; whereas investigators who performed follow-ups were masked from study group assignment. Thirdly, AKI was diagnosed only according to serum creatinine level. This might have underestimated the real rate of AKI. Lastly, as a pilot study, the limited sample size diminished study power.

Conclusions

For patients undergoing partial nephrectomy, goal-directed circulatory management to maintain SVV < 6%, MAP > 95 mmHg and CI 3.0–4.0 L/min/m2 from renal artery clamping to the end of surgery reduced postoperative AKI by 40%, although not significantly so. Further studies with larger sample sizes are required.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AKI:

Acute kidney injury

IRI:

Ischemia-reperfusion injury

CVP:

Central venous pressure

MAP:

Mean arterial pressure

eGFR:

estimated glomerular filtration rate

PADUA score:

Preoperative aspects and dimensions used for an anatomical score

SVV:

Stroke volume variation

CI:

Cardiac index

KDIGO:

the Kidney Disease: Improving Global Outcomes

CKD-EPI:

the Chronic Kidney Disease Epidemiology Collaboration

HR:

Heart rate

ASD:

Absolute standardized difference

SBP:

Systolic blood pressure

ITT:

Intention-to-treat

PP:

Per-protocol

References

  1. 1.

    Uzzo R, Novick A. Nephron sparing surgery for renal tumors: indications, techniques and outcomes. J Urol. 2001;166(1):6–18.

    CAS  Article  Google Scholar 

  2. 2.

    Lane B, Russo P, Uzzo R, et al. Comparison of cold and warm ischemia during partial nephrectomy in 660 solitary kidneys reveals predominant role of nonmodifiable factors in determining ultimate renal function. J Urol. 2011;185(2):421–7.

    Article  Google Scholar 

  3. 3.

    Kotamarti S, Rothberg M, Danzig M, et al. Increasing volume of non-neoplastic parenchyma in partial nephrectomy specimens is associated with chronic kidney disease upstaging. Clin Genitourin Cancer. 2015;13(3):239–43.

    Article  Google Scholar 

  4. 4.

    Thompson R, Lane B, Lohse C, et al. Every minute counts when the renal hilum is clamped during partial nephrectomy. Eur Urol. 2010;58(3):340–5.

    Article  Google Scholar 

  5. 5.

    Zabell J, Isharwal S, Dong W, et al. Acute kidney injury after partial nephrectomy of solitary kidneys: impact on long-term stability of renal function. J Urol. 2018;200(6):1295–301.

    Article  Google Scholar 

  6. 6.

    Yoon HK, Lee HJ, Yoo S, et al. Acute kidney injury adjusted for parenchymal mass reduction and long-term renal function after partial nephrectomy. J Clin Med. 2019;8(9):1482.

  7. 7.

    Zhang Z, Zhao J, Dong W, et al. Acute kidney injury after partial nephrectomy: role of parenchymal mass reduction and ischemia and impact on subsequent functional recovery. Eur Urol. 2016;69(4):745–52.

    Article  Google Scholar 

  8. 8.

    Rajan S, Babazade R, Govindarajan S, et al. Perioperative factors associated with acute kidney injury after partial nephrectomy. Br J Anaesth. 2016;116(1):70–6.

    CAS  Article  Google Scholar 

  9. 9.

    Chawla LS, Eggers PW, Star RA, et al. Acute kidney injury and chronic kidney disease as interconnected syndromes. N Engl J Med. 2014;371(1):58–66.

    Article  Google Scholar 

  10. 10.

    Mehta S, Chauhan K, Patel A, et al. The prognostic importance of duration of AKI: a systematic review and meta-analysis. BMC Nephrol. 2018;19(1):91.

    Article  Google Scholar 

  11. 11.

    Jhanji S, Vivian-Smith A, Lucena-Amaro S, et al. Haemodynamic optimisation improves tissue microvascular flow and oxygenation after major surgery: a randomised controlled trial. Crit Care. 2010;14(4):R151.

    Article  Google Scholar 

  12. 12.

    Pearse R, Harrison D, MacDonald N, et al. Effect of a perioperative, cardiac output-guided hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and systematic review. JAMA. 2014;311(21):2181–90.

    CAS  Article  Google Scholar 

  13. 13.

    Futier E, Lefrant J, Guinot P, et al. Effect of individualized vs standard blood pressure management strategies on postoperative organ dysfunction among high-risk patients undergoing major surgery: a randomized clinical trial. JAMA. 2017;318(14):1346–57.

    Article  Google Scholar 

  14. 14.

    Bacchi G, Buscaroli A, Fusari M, et al. The influence of intraoperative central venous pressure on delayed graft function in renal transplantation: a single-center experience. Transplant Proc. 2010;42(9):3387–91.

    CAS  Article  Google Scholar 

  15. 15.

    Aulakh N, Garg K, Bose A, et al. Influence of hemodynamics and intra-operative hydration on biochemical outcome of renal transplant recipients. J Anaesthesiol Clin Pharmacol. 2015;31(2):174–9.

    Article  Google Scholar 

  16. 16.

    Tóth M, Réti V, Gondos T. Effect of recipients’ peri-operative parameters on the outcome of kidney transplantation. Clin Transpl. 1998;12(6):511–7.

    Google Scholar 

  17. 17.

    Campos L, Parada B, Furriel F, et al. Do intraoperative hemodynamic factors of the recipient influence renal graft function? Transplant Proc. 2012;44(6):1800–3.

    CAS  Article  Google Scholar 

  18. 18.

    Calixto Fernandes M, Schricker T, Magder S, et al. Perioperative fluid management in kidney transplantation: a black box. Crit Care. 2018;22(1):14.

    Article  Google Scholar 

  19. 19.

    Chin J, Jun I, Lee J, et al. Can stroke volume variation be an alternative to central venous pressure in patients undergoing kidney transplantation? Transplant Proc. 2014;46(10):3363–6.

    Article  Google Scholar 

  20. 20.

    Ficarra V, Novara G, Secco S, et al. Preoperative aspects and dimensions used for an anatomical (PADUA) classification of renal tumours in patients who are candidates for nephron-sparing surgery. Eur Urol. 2009;56(5):786–93.

    Article  Google Scholar 

  21. 21.

    Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract. 2012;120(4):c179–84.

    Google Scholar 

  22. 22.

    Levey A, Stevens L, Schmid C, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.

    Article  Google Scholar 

  23. 23.

    Ali M, Groenwold R, Pestman W, et al. Propensity score balance measures in pharmacoepidemiology: a simulation study. Pharmacoepidemiol Drug Saf. 2014;23(8):802–11.

    PubMed  Google Scholar 

  24. 24.

    Nativ O, Bahouth Z, Sabo E, et al. Method used for tumor bed closure (suture vs. sealant), ischemia time and duration of surgery are independent predictors of post-nephron sparing surgery acute kidney injury. Urol Int. 2018;101(2):184–9.

    CAS  Article  Google Scholar 

  25. 25.

    Chen J, Lin J, Lin C. Serum and urinary biomarkers for predicting acute kidney injury after partial nephrectomy. Clin Invest Med. 2015;38(3):E82–9.

    CAS  Article  Google Scholar 

  26. 26.

    Li S, Wang S, Priyanka P, et al. Acute kidney injury in critically ill patients after noncardiac major surgery: early versus late onset. Crit Care Med. 2019;47(6):e437–e44.

    Article  Google Scholar 

  27. 27.

    Myles P, Bellomo R, Corcoran T, et al. Restrictive versus Liberal fluid therapy for major abdominal surgery. N Engl J Med. 2018;378(24):2263–74.

    Article  Google Scholar 

  28. 28.

    Toyoda D, Fukuda M, Iwasaki R, et al. The comparison between stroke volume variation and filling pressure as an estimate of right ventricular preload in patients undergoing renal transplantation. J Anesth. 2015;29(1):40–6.

    Article  Google Scholar 

  29. 29.

    Holte K, Sharrock N, Kehlet H. Pathophysiology and clinical implications of perioperative fluid excess. Br J Anaesth. 2002;89(4):622–32.

    CAS  Article  Google Scholar 

  30. 30.

    O'Loughlin E, Ward M, Crossley A, et al. Evaluation of the utility of the Vigileo FloTrac(™) , LiDCO(™) , USCOM and CardioQ(™) to detect hypovolaemia in conscious volunteers: a proof of concept study. Anaesthesia. 2015;70(2):142–9.

    CAS  Article  Google Scholar 

  31. 31.

    Ciapetti M, di Valvasone S, di Filippo A, et al. Low-dose dopamine in kidney transplantation. Transplant Proc. 2009;41(10):4165–8.

    CAS  Article  Google Scholar 

  32. 32.

    Hoste E, Bagshaw S, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015;41(8):1411–23.

    Article  Google Scholar 

  33. 33.

    Bravi CA, Vertosick E, Benfante N, et al. Impact of acute kidney injury and its duration on long-term renal function after partial nephrectomy. Eur Urol. 2019;76(3):398–403.

    Article  Google Scholar 

  34. 34.

    Turan A, Cohen B, Adegboye J, et al. Mild acute kidney injury after noncardiac surgery is associated with long-term renal dysfunction: a retrospective cohort study. Anesthesiology. 2020;132(5):1053–61.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Xue-Ying Li (Department of Biostatistics, Peking University First Hospital, Beijing, China) for statistical analysis.

Funding

None.

Author information

Affiliations

Authors

Contributions

DXW, HK and QFW designed this study. QFW analyzed the data and drafted the manuscript. DXW and DLM critically revised the manuscript. QFW, HK, ZZX, HJL and DLM participated in the conduct of the study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Dong-Xin Wang.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Clinical Research Ethics Committee of Peking University First Hospital (2016[1118]) on May 3, 2016. Written informed consent to participate was obtained from all patients.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary Information

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

Verify currency and authenticity via CrossMark

Cite this article

Wu, QF., Kong, H., Xu, ZZ. et al. Impact of goal-directed hemodynamic management on the incidence of acute kidney injury in patients undergoing partial nephrectomy: a pilot randomized controlled trial. BMC Anesthesiol 21, 67 (2021). https://doi.org/10.1186/s12871-021-01288-8

Download citation

Keywords

  • Partial nephrectomy
  • Hemodynamic management
  • Acute kidney injury
\