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Early post-operative PV-ACO2/CA-VO2 predicts subsequent acute kidney injury after complete repair of tetralogy of Fallot

Part of: Surgery

Published online by Cambridge University Press:  02 July 2021

Yaya Xu Open the ORCID record for Yaya Xu [Opens in a new window] ,
Xiaodong Zhu Open the ORCID record for Xiaodong Zhu [Opens in a new window] ,
Lili Xu  and
Zhen Li
Yaya Xu
Affiliation:
Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiaotong University, 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China
Xiaodong Zhu*
Affiliation:
Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiaotong University, 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China
Lili Xu
Affiliation:
Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiaotong University, 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China
Zhen Li
Affiliation:
Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiaotong University, 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China
*
Author for correspondence: Xiaodong Zhu, MS, Department of Pediatric Critical Care Medicine, Xinhua Hospital Affiliated to the Medical School of Shanghai Jiaotong University, 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China. Tel: +86-13651727806. E-mail: [email protected]
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Abstract

Background:

Acute kidney injury is a severe complication following complete repair of tetralogy of Fallot. Anaerobic metabolism is believed to contribute to the development of acute kidney injury. The ratio of central venous to arterial carbon dioxide tension to arterio-venous oxygen content (PV-ACO2/CA-VO2) has been proposed as a surrogate for respiratory quotient and an indicator of tissue oxygenation. We hypothesised that a small increase of PV-ACO2/CA-VO2 might have superior discrimination ability in subsequent acute kidney injury prediction.

Methods:

This study is retrospective and single-centre design study. The study population consisted of 61 children with tetralogy of Fallot that underwent a complete surgical repair between July 2017 and January 2021. Baseline characteristics and intra-operative parameters were collected through a retrospective chart review. PV-ACO2/CA-VO2 was collected within 12 hours of surgical completion. Acute kidney injury was defined according to the criteria established by the Kidney Disease: Improving Global Outcomes group. Univariate and logistic regression analyses were performed to determine risk factors for acute kidney injury.

Results:

Of the 61 patients, 20 (32.8%) developed acute kidney injury. Multivariate logistic analyses showed that age, height, haematocrit, and Pv-aCO2/Ca-vO2 were independently associated with the development of acute kidney injury. The addition of Pv-aCO2/Ca-vO2 to the model significantly increased model discrimination [AUROC 0.939 (95% CI 0.894–0.984) and AUROC 0.922 (95% CI 0.869–0.975), respectively].

Conclusions:

The increase of PV-ACO2/CA-VO2 could improve the predictive ability for subsequent development of acute kidney injury in children with tetralogy of Fallot.

Keywords

Anaerobic metabolismacute kidney injurycardiothoracic surgerypost-operativepaediatric
Type
Original Article
Information
Cardiology in the Young , Volume 32 , Issue 4 , April 2022 , pp. 558 - 563
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Acute kidney injury is a severe complication of paediatric cardiothoracic surgery associated with increased morbidity and mortality. Reference O’Neal, Shaw and Billings1,Reference Thiele, Isbell and Rosner2 The presence of acute kidney injury is associated with a poor prognosis and increases the overall burden. Reference James, Bhatt and Pannu3 Tetralogy of Fallot is the most common congenital cyanotic heart disease in children. A retrospective study of 56 adult patients with complete repair of tetralogy of Fallot compared patients with and without renal dysfunction to identify risk factors for renal impairment, and Reference Buelow, Dall and Bartz4 they showed that renal dysfunction is common at late follow-up evaluation after repair of tetralogy of Fallot (54 % of the patients had at least stage 2 chronic renal disease).

Mechanisms of cardiac surgery-associated acute kidney injury include renal ischaemia, haemodynamic instability, inflammation, generation of reactive oxygen species, and haemolysis. Reference Sharma, Chakraborty and Sharma5 Renal tissue hypoxia is one of the most important mechanisms leading to acute kidney injury and may also promote progression from acute injury to chronic kidney disease. Reference Palm and Nordquist6 Furthermore, animal experiments have shown that acute kidney injury is associated with dramatic changes in cardiac metabolism, cardiac adenosine triphosphate depletion, and diastolic dysfunction. Reference Fox, Gil and Kirkbride-Romeo7 The ratio of central venous to arterial carbon dioxide tension to arterio-venous oxygen content (PV-ACO2/CA-VO2) has been proposed as a tool for monitoring changes in tissue oxygenation status. Reference Mekontso-Dessap, Castelain and Anguel8 Some studies have found that high PV-ACO2/CA-VO2 has been associated with oxygen supply dependence and worse outcome. Reference Wu, Wang and Chen9 However, the suggestion that PV-ACO2/CA-VO2 may be effective for predicting outcome, hyperlactataemia, microvascular abnormalities, and oxygen supply dependency has been controversial. Some studies indicated that PV-ACO2/CA-VO2 is useless as a goal of resuscitation. Reference Dubin, Pozo and Hurtado10 Moreover, there has been little research on the effect of PV-ACO2/CA-VO2 on the post-operative acute kidney injury prediction.

Based on the existing literature, we hypothesise that PV-ACO2/CA-VO2 may have a superior tendency to predict acute kidney injury after cardiothoracic surgery among children with tetralogy of Fallot. The following were the aims of the current study: to determine the incidence of acute kidney injury according to the Kidney Disease Improving Global Outcomes criteria and to elucidate acute kidney injury risk factors and to determine whether the PV-ACO2/CA-VO2 may accurately predict subsequent acute kidney injury among children with tetralogy of Fallot.

Materials and methods

We conducted a retrospective study of patients who underwent primary complete repair of tetralogy of Fallot with cardiopulmonary bypass from July 2017 to January 2021. This study was performed with the approval of the Ethics Committee of Xin Hua Hospital affiliated to Shanghai Jiaotong University School of Medicine. As it was a retrospective study using data obtained from medical records, informed consent was exempted by the Institutional Review Board.

Inclusion criteria for patients were aged 1–12 months; confirmed tetralogy of Fallot diagnosis by pre-operative echocardiography and intra-operative findings Reference Apitz, Webb and Redington11 ; and underwent complete surgical repair for the first time for tetralogy of Fallot. The exclusion criteria were pre-existing renal dysfunction or requirement of renal replacement therapy before surgery Reference Webster, Nagler and Morton12 ; lack of post-operative renal data; and delayed sternal closure or reoperation required due to bleeding and other reasons.

Study variables

Demographic and clinical data were retrieved from the patients’ medical records. Pre-operative data included weight, height, age, sex, serum creatinine, estimated glomerular filtration rate, haematocrit, haemoglobin, McGoon ratio, Nakata index, pulmonary arterial pressure, left ventricular ejection fraction, and fractional shortening. Fasting venous blood samples were collected from all patients within 3 days after admission and were immediately sent for analysis. A cardiac ultrasound examination was performed within 7 days before cardiothoracic surgery.

Intra-operative data including duration of cardiothoracic surgery time, duration of cardiopulmonary bypass time, and American Society of Anesthesiologists grade were collected. Reference Saklad13 Complete surgical repair was defined as ventricular septal defect closure with or without right ventricular outflow tract intervention (transannular patch or right ventricle to pulmonary artery conduit). Reference DiLorenzo, Goldmuntz and Nicolson14

Central vein catheterisation was performed routinely during surgery, and an arterial catheter via the radial artery was used for the measurement of arterial blood pressure and to obtain blood samples for blood gas analysis. All post-operative children were admitted to the paediatric ICU.

Post-operative data including lactic acid, arterial oxygen saturation (SaO2), venous oxygen saturation (SvO2), arterial partial pressure of oxygen (PaO2), venous partial pressure of oxygen (PvO2), arterial partial pressure of carbon dioxide (PaCO2), and venous partial pressure of carbon dioxide (PvCO2) were collected. Post-operative arterial and venous blood gas was collected early (within 12 hours of surgery) after cardiothoracic surgery. We calculate oxygen metabolism index according to the following formulas Reference Rhodes, Erwin and Borasino15–Reference Mesquida, Saludes and Gruartmoner17 :

CaO2 = (1.34 × SaO2 × haemoglobin) + (0.003 × PaO2)

CvO2 = (1.34 × SvO2 × haemoglobin) + (0.003 × PvO2)

Ca−vO2 = CaO2 − CcvO2

Pv-aCO2 = PcvCO2 − PaCO2

Pv-aCO2/Ca−vO2 ratio = Pv-aCO2/Ca−vO2

Pa−vO2 = PaO2 − PcvO2

Sa−vO2 = SaO2 − ScvO2

O2 ER = Ca-vO2/CaO2

Outcome variables

Diagnosis and staging of acute kidney injury were performed according to the Kidney Disease Improving Global Outcomes criteria Reference Kellum, Lameire and Aspelin18 : an increase in serum creatinine value by 0.3 mg/dL (26.5 mumol/L) within 48 h or percentage by ≥50% from baseline within 1 week; or urine output <0.5 ml/kg/h for at least 6 hours. Lengths of paediatric ICU and hospital stay were also recorded.

Statistical analysis

The Shapiro–Wilk test was used to check the normality of the data. Continuous variables with normal distribution were expressed in terms of mean ± standard deviation, and group comparisons were analysed by independent sample t-tests. The continuous variables with the non-normal distribution were expressed as median (P25 and P75), and comparisons among groups were carried out using the Mann–Whitney U-test. Frequencies and proportions were estimated for categorical variables and were compared using the chi-squared test or Fisher’s test. Univariate logistic analysis was performed to determine predictive factors on acute kidney injury. Subsequently, significant predictors for univariate analysis were further included in the multivariable forward stepwise logistic analysis to confirm independent risk factors for acute kidney injury and to evaluate the predictive value of PV-ACO2/CA-VO2. The significance level for the removal of variables from the model was 0.1; otherwise, the significance level was set at 0.05.

Receiver operating characteristic curves were employed to evaluate the diagnostic accuracy of PV-ACO2/CA-VO2 in patients with acute kidney injury. All statistical analyses were performed with SPSS version 23 (IBM Corp. Released (2015) IBM SPSS Statistics for Windows. IBM Corp., Armonk, New York, United States of America). The difference was considered significant when the two-tailed P-value was <0.05.

Results

Basic characteristic

Among the 61 patients, 35 were males and 26 were females. The median age was 6 months (range, 4–12 months). The median serum creatinine level was 23.0 μmol/L, and estimated glomerular filtration rate was 111.7 ml/min/1.73 m3 at baseline. Twenty patients (32.8%) developed acute kidney injury. The baseline values, clinical status, and surgical characteristics of all 61 patients are shown in Table 1.

Table 1. Study population characteristics (n = 61).

AKI = acute kidney injury; ASA = American Society of Anesthesiologists; CPB = cardiopulmonary bypass; CTS = cardiothoracic surgery; eGFR = estimated glomerular filtration rate; Hb = haemoglobin; Hct = haematocrit; LVEF = left ventricular ejection fraction; LVFS = left ventricular fraction shortening; PaO2 = Arterial Partial Pressure of Oxygen; PAP = Pulmonary Artery Pressure; PICU =  Paediatric ICU; SCr = serum creatinine.

A two-tailed P value of < 0.05 was considered statistically significant.

The acute kidney injury group was younger than the non-acute kidney injury group and thus had lower pre-operative creatinine; however, no significant statistical difference was observed in pre-operative renal function (serum creatinine and estimated glomerular filtration rate) between the two groups (P > 0.05). We observed statistically significant differences in haematocrit between groups (P > 0.05). Although haemoglobin values for acute kidney injury group were higher than for non-acute kidney injury group, the difference was not statistically significant. Prior to surgery, differences of pre-operative echocardiography of the two groups were not statistically significant (P > 0.05). There was not any significant difference between two groups in terms of length of hospital stay and length of paediatric ICU stay. Due to poor effect of clinical treatment and continuous deterioration of the condition, through clinical evaluation, five patients in the acute kidney injury group chose to be automatically discharged from hospital.

Post-operative oxygen metabolism

Compared with the non-acute kidney injury groups, the acute kidney injury group showed decreased PaO2 and SaO2 levels. Pv-aCO2, Ca-vO2, Pv-aCO2/Ca-vO2, and O2 ER were significantly higher in the acute kidney injury group than in the non-acute kidney injury group (P < 0.05) (Table 2).

Table 2. Comparison of oxygen metabolism index among groups (n = 61).

O2ER = oxygen extraction ratio; PaO2 = arterial partial pressure of oxygen; Pv-aCO2/Ca-vO2 = the ratio of central venous-to-arterial carbon dioxide difference (Pv-aCO2) to arterial-to-central venous O2 content difference (Ca-vO2); SaO2 = arterial oxygen saturation.

A two-tailed P value of < 0.05 was considered statistically significant.

Baseline predictors for acute kidney injury

On univariate logistic analysis, factors strongly associated with acute kidney injury occurrence were age, height, haemoglobin, haematocrit, PaO2, Pv-aCO2, and Pv-aCO2/Ca-vO2 (Table 3). Multivariate logistic analyses showed that age, height, haematocrit, and Pv-aCO2/Ca-vO2 were independently associated with acute kidney injury.

Table 3. Univariate analyses with AKI as the outcome variable (n = 61).

ASA = American Society of Anesthesiologists; CPB = cardiopulmonary bypass; CTS = cardiothoracic surgery; eGFR = estimated glomerular filtration rate; Hb = haemoglobin; Hct = haematocrit; LVEF = left ventricular ejection fraction; LVFS = left ventricular fraction shortening; O2ER = oxygen extraction ratio; PaO2 = arterial partial pressure of oxygen; PAP = pulmonary artery pressure; PICU = paediatric ICU; Pv-aCO2/Ca-vO2 = the ratio of central venous-to-arterial carbon dioxide difference (Pv-aCO2) to arterial-to-central venous O2 content difference (Ca-vO2); SaO2 = arterial oxygen saturation; SCr = serum creatinine.

A two-tailed P value of < 0.05 was considered statistically significant.

Sensitivity analyses

Model 1 adjusted for demographic factors (age, height, haematocrit) and Pv-aCO2/Ca-vO2 were added to model 1 to form model 2 (Table 4 ). The addition of Pv-aCO2/Ca-vO2 to the model significantly increased model discrimination [AUROC 0.939 (95% CI 0.894–0.984) and AUROC 0.922 (95% CI 0.869–0.975), respectively], Fig 1.

Table 4. Associations in model fit and discrimination across different models based on confirmative predictors for AKI (n = 61).

Hct = Haematocrit; Pv-aCO2/Ca-vO2 = the ratio of central venous-to-arterial carbon dioxide difference (Pv-aCO2) to arterial-to-central venous O2 content difference (Ca-vO2).

A two-tailed P value of < 0.05 was considered statistically significant.

Figure 1. Receiver operating characteristic (ROC) curve analysed by the logistic regression model for the prediction of post-operative acute kidney injury (AKI). A two-tailed P-value < 0.05 was considered statistically significant. Model 1, an AKI risk prediction model in our study, was adjusted for age, height, and haematocrit (Hct). Model 2, an AKI risk prediction model in our study, was adjusted for age, height, Hct, and Pv-aCO2/Ca-vO2.

Discussion

Acute kidney injury is a common but serious complication following cardiopulmonary bypass and cardiac surgeries and carries a poor prognosis. Reference Holt and Filler19 Some studies believe that acute kidney injury can occur because children with congenital heart disorders, especially cyanotic, can be more prone to toxic agents due to chronic hypoxia leading to increase viscosity and increases in renal vascular resistance and higher intra-glomerular pressures. Reference Inatomi, Matsuoka and Fujimaru20 In this study, acute kidney injury was a common complication after complete repair of tetralogy of Fallot. Studies have indicated that cyanotic nephropathy is seen in 30–50% of patients with congenital cyanotic heart disease. Reference Hongsawong, Khamdee and Silvilairat21,Reference Greenwood, Mangahis and Castle22 Therefore, it is important to identify patients who are at risk of developing acute kidney injury post-cardiothoracic surgery. Previous studies have reported that younger age, longer surgery, and cardiopulmonary bypass times were associated with post-operative acute kidney injury. Reference Park, Hur and Kim23 However, our univariate analysis suggested no significant relationship between increased surgery and cardiopulmonary bypass times and acute kidney injury. Owing to advancements in surgical techniques, interventional procedures, and perioperative management, the outcomes of children with tetralogy of Fallot have dramatically improved. In our study, surgery and cardiopulmonary bypass times are tightly controlled to be within the safe range for a significant duration of time.

Our findings suggest that patients in the acute kidney injury group had higher haemoglobin and haematocrit than those in the non-acute kidney injury group. A multivariate regression analysis demonstrated that haematocrit was an independent risk factors for acute kidney injury. However, some studies suggested that the nadir haematocrit on cardiopulmonary bypass is widely recognised as a risk factor for post-operative acute kidney injury. Reference Ranucci, Carboni and Cotza24 This might be due to the fact that haematocrit in our study was measured before surgery and higher haematocrit values decrease blood flow as a result of an increase in whole blood viscosity.

The limitation in renal tissue oxygen supply renders the kidney susceptible to hypoxia and has long been recognised as an important factor in the pathogenesis of acute kidney injury. Reference Eckardt, Bernhardt and Weidemann25 PO2 and SO2 are commonly used as the indices of oxygen metabolism, but tissue hypoxia may still exist even when PO2 and SO2 are within the normal range. Reference Yaya, Yueniu and Lili26 Although PO2 and SO2 were lower in the acute kidney injury group, they were not significant in a multivariate regression. Parameters obtained by central venous and arterial blood gas analyses were used to calculate the oxygen metabolism indices. The result showed that acute kidney injury was correlated with Pv-aCO2/Ca-vO2 using univariate and multivariate regression analysis. Pv-aCO2/Ca-vO2 measured early after the operation had been proven to improve subsequent acute kidney injury prediction. Some observational studies have suggested that Pv-aCO2/Ca-vO2 might be a good surrogate for the respiratory quotient. Increased carbon dioxide production, relative to oxygen consumption, occurs under conditions of tissue hypoxia, and the presence of anaerobic metabolism may be inferred when the Pv-aCO2/Ca-vO2 rises. Reference Mekontso-Dessap, Castelain and Anguel8 Mukai et al found that Pv-aCO2/Ca-vO2 at the end of surgery had a superior ability for predicting post-operative complications. Reference Mukai, Suehiro and Kimura27 Regarding the optimal cut-off value of the Pv-aCO2/Ca-vO2, there have been some controversies among different studies. Mekontso-Dessap et al demonstrated that a Pv-aCO2/Ca-vO2 > 1.4 was superior to Pv-aCO, SvO2, and Ca-vO2, in predicting hyperlactataemia in a cohort of critically ill patients. Reference Mekontso-Dessap, Castelain and Anguel8 However, He et al suggested that the Pv-aCO2/Ca-vO2 ≥ 1.6 was associated with ICU mortality in septic shock patients. Reference He, Long and Liu28

The limitations of this study must be considered when interpreting our findings. First, this was a small, single-centre, retrospective study of patients who underwent cardiothoracic surgery. The generalisability of our results may, therefore, be limited. Second, the diagnosis of acute kidney injury was underestimated because we mainly used the serum creatinine criteria of the KDIGO guidelines. Our study did not use urine output to determine acute kidney injury because urine volume data were not available in our hospital information system for most patients. However, urine output criteria have been criticised due to inaccurate reflection of glomerular filtration rate, insensitivity to detect acute change in renal function, and being influenced by many factors including use of diuretics and volume status. Third, although we rigorously adjusted for some known confounders that affect renal function, the effect of measured and/or unmeasured residual confounders cannot be eliminated in our study. The evaluation criteria of microcirculation and oxygen metabolism are still controversial at present, and the applicability of the model proposed in this paper needs to be further verified.

Conclusions

We demonstrated that Pv-aCO2/Ca-vO2 measured after cardiothoracic surgery was significantly associated with subsequent acute kidney injury. Moreover, we showed that Pv-aCO2/Ca-vO2 significantly improved the risk prediction model for acute kidney injury after cardiothoracic surgery. We believe that early increased Pv-aCO2/Ca-vO2 could be one of the indicators for subsequent acute kidney injury prediction and will draw clinicians’ attention to prevent or ameliorate acute kidney injury.

Acknowledgements

None.

Authors’ contributions

Study Design: Yaya Xu; Data Collection: Yaya Xu; Zhen Li; Statistical Analysis: Lili Xu; Zhen Li; Data Interpretation: Xiaodong Zhu; Manuscript Preparation: Yaya Xu; Literature Search: Zhen Li.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Conflicts of interest

None.

Ethical standards

This study was approved by the Ethics Committee of Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Availability of data and material (data transparency)

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Code availability (software application or custom code)

All code generated or used during the study appears in the submitted article.

Consent to participate and publication

As our study was a retrospective study using data obtained from medical records, informed consent was exempted by the Institutional Review Board.

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Figure 0

Table 1. Study population characteristics (n = 61).

Figure 1

Table 2. Comparison of oxygen metabolism index among groups (n = 61).

Figure 2

Table 3. Univariate analyses with AKI as the outcome variable (n = 61).

Figure 3

Table 4. Associations in model fit and discrimination across different models based on confirmative predictors for AKI (n = 61).

Figure 4

Figure 1. Receiver operating characteristic (ROC) curve analysed by the logistic regression model for the prediction of post-operative acute kidney injury (AKI). A two-tailed P-value < 0.05 was considered statistically significant. Model 1, an AKI risk prediction model in our study, was adjusted for age, height, and haematocrit (Hct). Model 2, an AKI risk prediction model in our study, was adjusted for age, height, Hct, and Pv-aCO2/Ca-vO2.