Myocardial tissue expression of mRNA and preoperative neutrophil-lymphocyte ratio in children undergoing congenital heart surgery
Highlight box
Key findings
• Patients with tetralogy of Fallot (ToF) exhibited lower myocardial tissue expression of IL-10 messenger RNA compared to those with ventricular septal defect. This difference is associated with O2 saturation levels and the neutrophil-lymphocyte ratio (NLR).
What is known and what is new?
• The NLR serves as an affordable and readily accessible inflammatory biomarker, enabling the prediction of morbidity in pediatric cardiac surgery.
• Patients suffering from ToF exhibited a higher preoperative NLR, correlating with poorer outcomes.
What is the implication, and what should change now?
• This is the first study that seeks to understand the probable regulatory mechanism of NLR. In this way, we can start thinking of a way to change the inflammation in these patients.
Introduction
The inflammatory process is a physiological response to trauma and is inherent in all surgical procedures (1-5). However, in major surgeries, such as those involving cardiopulmonary bypass (CPB), the inflammatory response can become pathological and lead to postoperative complications due to the blood’s contact with a non-endothelial surface (6-9). Several risk factors for this inflammatory response exacerbation are well-established, including hypoxia, extended CPB duration, lengthy myocardial ischemia time, preoperative liver dysfunction, lower weight, and preoperative inflammatory conditions (leukocytosis exceeding 15,000). This heightened inflammatory response can have detrimental effects on various organs (9,10). It can result in negative inotropism in the heart, respiratory failure in the lungs, acute kidney failure or injury, liver failure, and endothelial dysfunction in the vessels. This can progress to multiple organ dysfunction, extending the duration of mechanical ventilation (MV) time, increasing the use of renal replacement therapy and vasoactive drugs (VAD), and prolonging the length of stay (LOS) in the ICU and the hospital. Consequently, this can impact mortality rates and the cost of surgery. Therefore, the early identification of patients at a higher risk of an exacerbated inflammatory response is undoubtedly of significant value.
Several studies have established a link between inflammatory mediators and heightened morbidity and mortality rates in cyanotic patients compared to those with acyanotic congenital heart disease (CHD). Highly specific biomarkers such as cytokines, microRNA (miRNA), messenger RNA (mRNA), amino-terminal type III pro-collagen peptide (PIIIP), and N-terminal B-type natriuretic peptide (BNP/NT-proBNP) have been measured in the pre- and/or postoperative periods of CHD. These biomarkers have been associated with poorer outcomes (11-19). However, these biomarkers are costly and not universally available. In recent years, several research groups have demonstrated the prognostic value of the pre- and postoperative neutrophil-lymphocyte ratio (NLR) in children undergoing congenital heart surgery. It has been observed that patients with elevated NLR have a poorer prognosis, particularly cyanotic patients. While this biomarker appears promising, its regulatory or pathogenic mechanism remains unclear (14,15,19-22). Unlike the aforementioned biomarkers, NLR is inexpensive and widely available.
No studies have yet elucidated the regulatory mechanism of preoperative NLR in CHD patients. Consequently, we aimed to investigate this biomarker’s behavior in two distinct groups: patients with tetralogy of Fallot (ToF) and those with ventricular septal defect (VSD), both of whom underwent surgical correction. We compared the preoperative NLR levels and the expression of tumor necrosis factor alpha (TNF-α), interleukin (IL)-1β, IL-6, and IL-10 mRNA in the myocardial tissue (the most frequently studied cytokines in the myocardium) of these patients. This research represents an initial step towards understanding a mechanism that is widely acknowledged as complex. We present this article in accordance with the STROBE reporting checklist (available at https://tp.amegroups.com/article/view/10.21037/tp-23-513/rc).
Methods
This observational prospective translational study included cyanotic patients with ToF and acyanotic patients with VSD who underwent surgical correction. The study was conducted at the Children’s Cardiovascular Surgery Service of the Division of Cardiovascular Surgery and the Laboratório de Genética e Cardiologia Molecular (LGCM; Laboratory of Molecular and Genetics Cardiology), both located at the Instituto do Coração (Heart Institute), Hospital das Clínicas, School of Medicine, University of São Paulo (InCor HCFMUSP, São Paulo, SP, Brazil, from June 2021 to February 2023. The study conformed to the provisions of the Declaration of Helsinki (as revised in 2013). The Scientific Committee and the Ethics Committee of the Instituto do Coração (Heart Institute), Hospital das Clínicas, School of Medicine, University of São Paulo, São Paulo, Brazil, approved the study (SDC: 5188/20/217). Written informed consent was secured from the children’s guardians.
Sample size
The sample size and statistical power were determined according to the method outlined in “Quick calculation for sample size while controlling the false discovery rate with application to microarray analysis” (23). This method stipulates that to detect a minimum 2-fold difference in gene expression between two groups with a 95% confidence level and a desired statistical power of 80% (Cohen’s d of 0.8), and an alpha error of 0.05, a total of nine patients would be required in each group.
Inclusion and exclusion criteria
All patients, irrespective of gender or race, aged between 1 to 24 months diagnosed with ToF or VSD and who underwent surgery were included in the study. Conversely, the exclusion criteria encompassed patients diagnosed with ToF or VSD who were either less than 30 days old or older than 24 months, those requiring reoperation, those with ToF but without documented or reported episodes of cyanosis and with saturation above 90%, and those with ToF or VSD and VSD with fixed pulmonary hypertension. Additionally, patients with suspected or confirmed infections, those on antibiotics, those in preoperative extracorporeal membrane oxygenation (ECMO), those with preoperative oral or nasotracheal intubation, those with immunological conditions, those on immunosuppressants, and those with genetic syndromes were also excluded.
Study variables
The preoperative variables included age (in months), gender, weight (in kg) at the time of surgery, oxygen saturation (SaO2, %), and total neutrophil and lymphocyte counts. These counts were obtained from a blood test conducted 24 hours prior to surgery for the purpose of calculating the NLR.
The intraoperative variables included the duration of CPB, the length of myocardial ischemia, lactate levels in the operating room (OR), and the use of VAD, as determined by the vasoactive inotropic score (VIS).
During the postoperative period, we monitored the duration of MV, the number of days VAD was used, the occurrence of acute kidney injury (AKI), and the incidence of low cardiac output syndrome (LCOS). We also tracked the LOS in the ICU, the total hospital LOS, and followed up until discharge or within a 30-day period. We analyzed the tissue gene expression of TNF-α, IL-1β, IL-6 mRNAs, and IL-10 mRNA.
Definition of variables
The NLR was determined by dividing the total count of neutrophils by the total count of lymphocytes from the 24-hour preoperative blood analysis.
Hypoxia: defined as SaO2 measured with pulse oximetry ≤90%.
AKI: was defined according to the Acute Kidney Injury Network definition. An increase in serum creatinine level from baseline can be used to classify AKI according to the grade of increasing.
LCOS: was considered as a clinical condition that was caused by a transient decrease in systemic perfusion secondary to myocardial dysfunction.
MV time was defined as the time (hours) between the orotracheal intubation and extubating. The criteria for extubating depended on the patient’s clinical condition.
Operative mortality was characterized as any death, irrespective of cause, that occurred during hospitalization or within 30 days post-surgery, should the discharge occur prior to this timeframe.
The primary outcome involved comparing and correlating inflammatory activity, as indicated by myocardial tissue mRNA and NLR in peripheral blood. This study represents an initial effort to comprehend a mechanism acknowledged as complex. Secondary outcomes included MV duration, VIS score, AKI incidence, ICU and overall hospital LOS, and mortality rates.
Technical details
Anesthetic management was executed in accordance with the standard procedures outlined in the InCor Manual of Conduct Routines in Pediatric Cardiac Anesthesia-HCFMUSP (24).
CPB was conducted in accordance with the standards and guidelines for perfusion practice, as outlined by the Brazilian Society for Cardiovascular Surgery (SBCCV) and the Brazilian Society for Extracorporeal Circulation (SBCEC). This procedure is a routine practice in our service (25).
All surgical procedures were conducted by the most seasoned surgeons in the department, utilizing a median sternotomy and under the conditions of CPB.
In all patients, myocardial protection was achieved anterogradely using Del Nido’s solution at 4 °C, administered in the aortic root.
Biopsies were conducted on patients who satisfied the inclusion criteria. Following general anesthesia and orotracheal intubation, asepsis, antisepsis, and the application of sterile drapes were carried out. An incision and sternotomy were performed with meticulous attention to hemostasis. Depending on the need to access the heart, a partial or total thymectomy was performed. Pericardiotomy was routinely performed, and the pericardium was fixed with separate stitches in the surgical field for enhanced exposure. A purse-string suture was placed in the right atrium’s (RA) auricle, and the patient was heparinized based on weight (1 mg/kg) via the central catheter, without puncturing the RA. Lateral clamping of the auricle was then carried out, followed by a biopsy at the purse-string suture’s boundaries. Bleeding was mitigated by tightening the tourniquet on the purse-string suture. The biopsy fragment, measuring 3 mm × 5 mm, was isolated, placed in a bottle with RNAlater solution, and dispatched to the laboratory (LGCM). While in the OR, the fragment was maintained at room temperature (18–21 °C); in the laboratory, it was stored at 4 °C for 24 hours, then transferred to an ultra-freezer at −80 °C for long-term storage. To rule out any potential confounding effects of an inflammatory reaction related to CPB and/or ischemia brought on by aortic cross-clamping, the biopsy was performed before CPB. This approach ensured that the patient’s status was comparable to that during blood count collection.
Fragments of RA biopsies were collected and stored in RNAlater (Thermo Fisher Scientific, MA, USA) at −80 °C in an ultrafreezer until RNA extraction. Total RNA was subsequently extracted using Trizol (Thermo Fisher Scientific), and reverse transcribed into cDNA with a cDNA synthesis kit (Thermo Fisher Scientific) as per the manufacturer’s guidelines. The expression levels of target mRNA were quantified through quantitative reverse transcription polymerase chain reaction (qRT-PCR), utilizing SYBR Green reagents (Thermo Fisher Scientific) and specific primers for IL-1β, IL-10, IL-6, TNF, and cyclophilin, which served to normalize the results. Each sample was analyzed in triplicate.
Statistical analysis
Standard descriptive statistics were utilized. Continuous numerical variables were represented as either mean ± standard deviation (SD) or median and interquartile range (IQR), based on normality tests. The Mann-Whitney or Student’s t-test was employed to analyze differences between groups, as applicable. Linear regression was conducted to examine the behavior of the NLR in relation to SaO2 and age using Spearman correlation. The linear regression model was also applied to analyze the correlation between NLR and SaO2, as well as the tissue expression of IL-1β, IL-10, IL-6, and TNF-α mRNAs, using Spearman correlation. For risk analysis, a logistic regression model was utilized to determine if NLR is an independent predictor of morbidity and mortality. Data analysis was performed using IBM SPSS 23.0 software (IBM Corp., Armonk, NY, USA). The gene expression levels were calculated using the ΔΔCT method, a commonly used method for relative quantification in qPCR experiments.
Results
A total of 30 patients were initially recruited, with 20 (10 ToF and 10 VSD) ultimately selected for the final analysis (Figure 1). Table 1 presents the baseline characteristics of these 20 patients. Patients with ToF exhibited a higher NLR [ToF 0.46 (IQR 0.90); VSD 0.28 (IQR 0.17); P=0.02] and a lower SaO2 [ToF 86.2% (±6.4%); VSD 97.7% (±1.5%); P<0.001] compared to those with VSD. No significant differences were observed between the groups in terms of other variables.
Table 1
Variable | ToF (n=10) | VSD (n=10) | P value |
---|---|---|---|
Age, months | 8.3 (±4.4) | 11.8 (±7.3) | 0.22 |
Gender, female | 4 (40%) | 8 (80%) | 0.17 |
Weight, kg | 6.8 (±2.0) | 6.8 (±1.9) | 0.95 |
O2 saturation, % | 86.2 (±6.4) | 97.7 (±1.5) | <0.001§ |
Total of neutrophils/mL | 3,239.2 (±1,732.5) | 2,268.2 (±1,452.6) | 0.19 |
Total of lymphocytes/mL | 5,592.6 (±2,575.0) | 7,977.8 (±3,452.0) | 0.10 |
NLR | 0.46 [0.90] | 0.28 [0.17] | 0.02* |
Variables exhibiting a normal distribution are depicted as the mean and standard deviation. Variables exhibiting an asymmetrical distribution are represented by the median [interquartile range]. §, Student’s t-test. *, Mann-Whitney U test. ToF, tetralogy of Fallot; VSD, ventricular septal defect; NLR, neutrophil-lymphocytes ratio.
Intraoperative observations revealed significant differences between the groups in terms of mean CPB [ToF 152.8 (±41.3); VSD 116.6 (±30.1); P=0.04]; as shown in Table 2. Postoperative evaluations indicated that patients with ToF required more VAD [ToF 2 (IQR 1.75); VSD 0 (IQR 1); P=0.01], experienced longer MV durations [ToF 24 h (IQR 93); VSD 5.5 h (IQR 8); P<0.001], and had extended ICU LOS [ToF 5.5 (IQR 1); 2 (IQR 0.75); P=0.02] as well as total hospital LOS [ToF 18 days (IQR 17.5); VSD 8.5 days (IQR 2.5); P<0.001] (Table 3). However, NLR was not identified as an independent risk factor for MV duration (P=0.453), use of VAD (P=0.68), AKI (P=0.69), ICU (P=0.81), or hospital LOS (P=0.81) (Table 4).
Table 2
Variable | ToF (n=10) | VSD (n=10) | P value |
---|---|---|---|
Lactate in OR, mg/dL | 14.9 (±8.3) | 11.1 (±5.6) | 0.25 |
VIS in OR | 13.11 (±8.8) | 7.6 (±4.3) | 0.10 |
CPB time, min | 152.8 (±41.3) | 116.6 (±30.1) | 0.04§ |
Ischemia time, min | 100.6 (±39.7) | 79.6 (±28.4) | 0.19 |
§, Student’s t-test. Variables exhibiting a normal distribution are represented by the mean and standard deviation. ToF, tetralogy of Fallot; VSD, ventricular septal defect; OR, operating room; VIS, vasoactive-inotropic score; CPB, cardiopulmonary bypass.
Table 3
Variable | ToF (n=10) | VSD (n=10) | P value |
---|---|---|---|
VIS in 24 h | 7.25 [14] | 4.45 [7] | 0.06 |
Time of vasoactive drugs, days | 2 [1.75] | 0 [1] | 0.01* |
AKI | 3 (30%) | 0 | 0.21 |
LCOS | 3 (30%) | 0 | 0.21 |
MV time, hours | 24 [93] | 5.5 [8] | <0.001* |
ICU time, days | 5.5 [1] | 2 [0.75] | 0.02* |
Hospital LOS, days | 18 [17.5] | 8.5 [2.5] | <0.001* |
Mortality | 1 (10%) | 0 | 1.0 |
*, Mann-Whitney U test. Variables with an asymmetrical distribution are depicted as the median [interquartile range]. ToF, tetralogy of Fallot; VSD, ventricular septal defect; VIS, vasoactive-inotropic score; AKI, acute kidney injury; LCOS, low cardiac output syndrome; MV, mechanical ventilation; ICU, intensive care unit; LOS, length of stay.
Table 4
Univariate | Coefficient | Standard error | t value | P value |
---|---|---|---|---|
MV time, hours | 19.57 | 25.52 | 0.767 | 0.453 |
Time of vasoactive drugs, days | 0.5098 | 1.2020 | 0.424 | 0.68 |
AKI | 0.5475 | 3.0072 | 0.422 | 0.69 |
ICU time, days | −0.4972 | 2.0111 | −0.247 | 0.81 |
Hospital LOS, days | −1.323 | 5.373 | −0.246 | 0.81 |
The logistic regression model was used for analysis. NLR, neutrophil-lymphocytes ratio; MV, mechanical ventilation; AKI, acute kidney injury; ICU, intensive care unit; LOS, length of stay.
Upon conducting a linear regression analysis with SaO2 as the dependent variable and NLR as the independent variable, a negative correlation was observed between SaO2 and NLR (r=−0.40; P=0.002). This correlation persisted even after adjusting for age (r=−0.44; P=0.002) (Figure 2).
Myocardial tissue expression of TNF-α, IL-1β, IL-6 and IL-10 mRNAs
In all patients with ToF, TNF-α, IL-1β, IL-6, and IL-10 mRNAs were identified. Conversely, in VSDs, IL-1β mRNA was found in 8 out of 10 patients, TNF-α mRNA in 9 out of 10, IL-6 mRNA in 9 out of 10, and IL-10 mRNA in all patients. The tissue expression of TNF-α, IL-1β, and IL-6 mRNAs did not significantly differ between the two groups (P=0.79, P=0.76, P=0.21, respectively) (Figure 3). However, the expression of IL-10 mRNA was significantly lower in patients with ToF (P=0.03).
A negative correlation was observed between IL-10 mRNA and NLR (r=−0.27) as depicted in Figure 4. Upon correlating SaO2 levels with tissue mRNAs, a positive correlation emerged between SaO2 and IL-10 mRNA (r=0.40; P=0.07) (Figure 5). Conversely, no correlation was found between SaO2 and either TNF-α mRNA (r=0.02, P=0.90) or IL-1β mRNA (r=0.03, P=0.96). These findings are summarized in a schematic representation of the likely regulatory mechanism in Figure 6.
Discussion
The current study revealed that patients with ToF exhibited decreased myocardial tissue expression of IL-10 mRNA, elevated NLR, and a poorer prognosis. These patients required more vasoactive medications, experienced extended MV durations, longer ICU stays, and an increased hospital LOS.
The NLR, an easily calculable biomarker, reflects a patient’s preoperative inflammatory status. Its effectiveness in predicting morbidity and mortality has been demonstrated, offering an inexpensive and readily accessible option, with numerous studies corroborating these findings (21,22,26-29). The NLR gained widespread use as a prognostic biomarker during the COVID-19 pandemic, with studies even illustrating its correlation with IL-10 in this demographic (30-34). Given its susceptibility to change, understanding its underlying mechanism is crucial. However, several questions remain unresolved, such as the regulatory mechanism of the NLR, its potential for change, and the reason for varying NLR levels in patients with the same diagnosis in the absence of an infectious process. It is noteworthy that the majority of the studies published to date are observational and retrospective, failing to provide answers to these questions (26,27).
This translational study serves as an initial exploration into a clearly complex mechanism. It aims to determine if observations made in the preoperative period in peripheral blood mirror events occurring within myocardial tissue, thereby tracing the likely regulatory pathway of the NLR balance. The findings of this study suggest that myocardial and endothelial stress, induced by cyanosis or ischemia (SaO2 ≤90%), triggers the expression of TNF-α, IL-1β, and IL-6 mRNAs in patients with ToF. However, it was also noted that the expression levels of these mRNAs did not differ in the VSD group. The disparity between the two groups was primarily due to the reduced expression of IL-10 mRNA in ToF patients, a finding that aligns with a previous study (13). This imbalance is reflected in the subtypes of leukocytes, specifically neutrophils and lymphocytes (NLR), as measured by the blood count.
Patients with cyanosis often experience chronic inflammation due to persistent myocardial and endothelial stress (13,35). Under normal circumstances, endogenous IL-10 inhibits the production of pro-inflammatory cytokines, thereby protecting the myocardium in ischemic situations (13). In these patients, the presence of IL-10 suppresses neutrophil recruitment, which otherwise causes tissue damage. Conversely, the absence of IL-10 results in an increased number of neutrophils leading to an imbalance in the NLR level (Figure 6) (36-39). It is established that cytokines such as TNF-α, IL-1β, IL-6, IL-8, and IL-10 are produced in the myocardium. However, the specific cells responsible for this synthesis-whether they are cardiomyocytes, fibroblasts, or other infiltrated cells in the myocardium-remain unclear in existing literature (40-42). Our study found myocardial tissue expression of TNF-α, IL-1β, IL-6, and IL-10 mRNAs, as they were present in nearly all samples.
Over two decades ago, a study involving 16 mice—8 with an IL-10 deficit and 8 with normal IL-10 synthesis—was conducted (43). Each mouse was subjected to cardiac ischemia by occluding the anterior interventricular coronary artery for a duration of 30 minutes, followed by a 24-hour reperfusion. The outcome revealed that 6 out of the 8 mice with an IL-10 deficit did not survive, whereas all the mice with normal IL-10 synthesis survived the 24-hour reperfusion (P<0.001). This study underscores the regulatory role of IL-10 in the inflammatory response to myocardial ischemia or cyanosis, a finding that aligns with other studies conducted on mice and dogs (43-45).
Lymphocytes that produce IL-10 play a crucial role in maintaining the delicate equilibrium between inflammation and immunoregulation, thus earning the designation of a “regulatory cell” (44,45). The balance between the total count of neutrophils and lymphocytes is indicative of reduced inflammation. In comparison to patients with VSD, those with ToF exhibit a lower lymphocyte concentration (46).
Our findings contrast with another study that examined myocardial biopsies from the RA and right ventricle. This study compared cytokine concentrations in seven patients with ToF and eight with VSD. The results showed increased levels of TNF-α (P<0.02), IL-1β (P<0.05), and IL-6 (P<0.01) in patients with ToF, with no significant difference in IL-10 concentration (12). Both studies analyzed myocardial biopsy samples from two patient groups, those with ToF and those with VSD, undergoing total correction. However, the methodologies differed. Our study focused on the qRT-PCR analysis (mRNA expression) of RA myocardial tissue before CPB, comparing and correlating it with the NLR. In contrast, the study by Qing et al. (12) based its analysis on enzyme-linked immunosorbent assay (ELISA) results (cytokine concentration) from a right ventricle biopsy performed during CPB and deep hypothermia. This procedure can induce and increase an inflammatory response due to contact with the non-endothelial surface of the CPB tubes, potentially explaining the difference in IL-10 concentration or mRNA expression. Therefore, we avoided performing the biopsy during CPB. In a related study by the same research group (13), conducted a year earlier with 20 patients (10 with ToF and 10 acyanotic with different diagnoses), pro-inflammatory and anti-inflammatory cytokine concentrations in venous blood were compared using the ELISA method. The authors noted a lower concentration of IL-10 (P=0.02) and a higher concentration of IL-6, which correlated with the SaO2 level (r=−0.74; P=0.02), in the ToF group. These results align with our findings. Our data suggest that a lower expression of IL-10 mRNA by myocardial tissue can disrupt the inflammatory response balance, leading to an exaggerated inflammatory response to surgical trauma and prolonged CPB time. This imbalance can result in cardiac and pulmonary damage, potentially increasing mortality risk. As anticipated, CPB time was statistically significant for the ToF group in our study and likely influenced the outcomes in this group, particularly in patients who were already more inflamed pre-surgery and exhibited low expression of IL-10 mRNA.
A lower SaO2 level corresponds to a greater imbalance, resulting in a higher preoperative NLR level, indicating increased inflammation in the patient. This correlation is evident in three patients depicted in Figure 2, who exhibited lower saturation levels and higher NLR levels (SaO2/NLR patient 1: 70%/1.49; SaO2/NLR patient 2: 83%/1.62; SaO2/NLR patient 3: 90%/1.46). Conversely, the study also found that a higher SaO2 level corresponds to a lower imbalance, resulting in a lower preoperative NLR level. This suggests that the patient is less inflamed and likely to experience fewer complications, as illustrated in Figure 6.
While the correlation was not robust, this can be attributed to the difference not exceeding twice the value indicated in the sample calculation or to anesthesia induction, arterial line insertion, central venous catheter insertion and sternotomy, procedures performed before RA biopsy, make two otherwise different groups more similar. Low expression of IL-10 mRNA was related to higher NLR, the IL-10 mRNA behaving as an immunoregulator of the NLR. We may be facing a potential pro-inflammatory phenotype in cyanotic patients. We may be facing a potential pro-inflammatory phenotype in cyanotic patients. This finding aligns with a previous study involving 20 patients, half of whom were cyanotic and the other half acyanotic. The study found a correlation between SaO2 and IL-10 levels, with lower cytokine concentrations observed in more cyanotic patients (13).
Limitations
The limitations of this study include the sample size, which should have been calculated based on the NLR rather than tissue gene expression for more robust conclusions. Additionally, a comparison and correlation with the same cytokines in peripheral blood would have been beneficial.
Conclusions
Patients with ToF exhibited a higher preoperative NLR and lower expression of IL-10 mRNA which is associated with O2 saturation. No significant difference was observed in the expression of TNF-α, IL-1β, and IL-6 mRNAs between patients with ToF and those with VSD.
Acknowledgments
We extend our gratitude to Drs. Luciana Patrick Amato and Aida Luiza Ribeiro Turquetto for their administrative support.
Funding: None.
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://tp.amegroups.com/article/view/10.21037/tp-23-513/rc
Data Sharing Statement: Available at https://tp.amegroups.com/article/view/10.21037/tp-23-513/dss
Peer Review File: Available at https://tp.amegroups.com/article/view/10.21037/tp-23-513/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tp.amegroups.com/article/view/10.21037/tp-23-513/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study conformed to the provisions of the Declaration of Helsinki (as revised in 2013). The Scientific Committee and the Ethics Committee of the Instituto do Coração (Heart Institute), Hospital das Clínicas, School of Medicine, University of São Paulo, São Paulo, Brazil, approved the study (SDC: 5188/20/217). Written informed consent was secured from the children’s guardians.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Heo RH, Wang MK, Meyre PB, et al. Associations of Inflammatory Biomarkers With the Risk of Morbidity and Mortality After Cardiac Surgery: A Systematic Review and Meta-analysis. Can J Cardiol 2023;39:1686-94. [Crossref] [PubMed]
- Dobson GP. Trauma of major surgery: A global problem that is not going away. Int J Surg 2020;81:47-54. [Crossref] [PubMed]
- Kohl BA, Deutschman CS. The inflammatory response to surgery and trauma. Curr Opin Crit Care 2006;12:325-32. [Crossref] [PubMed]
- Lord JM, Midwinter MJ, Chen YF, et al. The systemic immune response to trauma: an overview of pathophysiology and treatment. Lancet 2014;384:1455-65. [Crossref] [PubMed]
- Kant S, Banerjee D, Sabe SA, et al. Microvascular dysfunction following cardiopulmonary bypass plays a central role in postoperative organ dysfunction. Front Med (Lausanne) 2023;10:1110532. [Crossref] [PubMed]
- Güvener M, Korun O, Demirtürk OS. Risk factors for systemic inflammatory response after congenital cardiac surgery. J Card Surg 2015;30:92-6. [Crossref] [PubMed]
- Soares LC, Ribas D, Spring R, et al. Clinical profile of systemic inflammatory response after pediatric cardiac surgery with cardiopulmonary bypass. Arq Bras Cardiol 2010;94:127-33. [Crossref] [PubMed]
- Allan CK, Newburger JW, McGrath E, et al. The relationship between inflammatory activation and clinical outcome after infant cardiopulmonary bypass. Anesth Analg 2010;111:1244-51. [Crossref] [PubMed]
- Squiccimarro E, Stasi A, Lorusso R, et al. Narrative review of the systemic inflammatory reaction to cardiac surgery and cardiopulmonary bypass. Artif Organs 2022;46:568-77. [Crossref] [PubMed]
- Boehne M, Sasse M, Karch A, et al. Systemic inflammatory response syndrome after pediatric congenital heart surgery: Incidence, risk factors, and clinical outcome. J Card Surg 2017;32:116-25. [Crossref] [PubMed]
- Bhatia M, Moochhala S. Role of inflammatory mediators in the pathophysiology of acute respiratory distress syndrome. J Pathol 2004;202:145-56. [Crossref] [PubMed]
- Qing M, Schumacher K, Heise R, et al. Intramyocardial synthesis of pro- and anti-inflammatory cytokines in infants with congenital cardiac defects. J Am Coll Cardiol 2003;41:2266-74. [Crossref] [PubMed]
- Hövels-Gürich HH, Schumacher K, Vazquez-Jimenez JF, et al. Cytokine balance in infants undergoing cardiac operation. Ann Thorac Surg 2002;73:601-8; discussion 608-9. [Crossref] [PubMed]
- Gao C, Zhao D, Wang J, et al. Clinical significance and correlation of microRNA-21 expression and the neutrophil-lymphocyte ratio in patients with acute myocardial infarction. Clinics (Sao Paulo) 2019;74:e1237. [Crossref] [PubMed]
- Manuel V, Miana LA, Guerreiro GP, et al. Prognostic value of the preoperative neutrophil-lymphocyte ratio in patients undergoing the bidirectional Glenn procedure. J Card Surg 2020;35:328-34. [Crossref] [PubMed]
- Savluk OF, Guzelmeric F, Yavuz Y, et al. Neutrophil-lymphocyte ratio as a mortality predictor for Norwood stage I operations. Gen Thorac Cardiovasc Surg 2019;67:669-76. [Crossref] [PubMed]
- Nagy O, Baráth S, Ujfalusi A. The role of microRNAs in congenital heart disease. EJIFCC 2019;30:165-78.
- Zloto K, Tirosh-Wagner T, Bolkier Y, et al. MiRNA-208a as a Sensitive Early Biomarker for the Postoperative Course Following Congenital Heart Defect Surgery. Pediatr Cardiol 2018;39:1565-71. [Crossref] [PubMed]
- Sugimoto M, Kuwata S, Kurishima C, et al. Cardiac biomarkers in children with congenital heart disease. World J Pediatr 2015;11:309-15. [Crossref] [PubMed]
- Xu H, Sun Y, Zhang S. The Relationship Between Neutrophil to Lymphocyte Ratio and Clinical Outcome in Pediatric Patients After Cardiopulmonary Bypass Surgery: A Retrospective Study. Front Pediatr 2019;7:308. [Crossref] [PubMed]
- Iliopoulos I, Alder MN, Cooper DS, et al. Pre-operative neutrophil-lymphocyte ratio predicts low cardiac output in children after cardiac surgery. Cardiol Young 2020;30:521-5. [Crossref] [PubMed]
- Wu X, Luo Q, Su Z, et al. Prognostic Value of Preoperative Absolute Lymphocyte Count in Children With Tetralogy of Fallot. J Am Heart Assoc 2021;10:e019098.
- Liu P, Hwang JT. Quick calculation for sample size while controlling false discovery rate with application to microarray analysis. Bioinformatics 2007;23:739-46. [Crossref] [PubMed]
- Gatto CST, Galas FRBG, Júnior JOCA. Condutas em Anestesia Cardíaca Pediátrica Incor – HCFMUSP. Manual de Rotinas; 2020.
- Caneo LF, Matte G, Groom R, et al. The Brazilian Society for Cardiovascular Surgery (SBCCV) and Brazilian Society for Extracorporeal Circulation (SBCEC) Standards and Guidelines for Perfusion Practice. Braz J Cardiovasc Surg 2019;34:239-60. [Crossref] [PubMed]
- Manuel V, Miana LA, Jatene MB. Neutrophil-Lymphocyte Ratio in Congenital Heart Surgery: What Is Known and What Is New? World J Pediatr Congenit Heart Surg 2022;13:208-16. [Crossref] [PubMed]
- Olasińska-Wiśniewska A, Urbanowicz TK, Gładki MM, et al. The beneficial role of simple inflammatory blood indices in pediatric cardiology. Adv Clin Exp Med 2023;32:1041-8. [Crossref] [PubMed]
- Matsushita FY, Krebs VLJ, de Carvalho WB. Identifying two distinct subphenotypes of patent ductus arteriosus in preterm infants using machine learning. Eur J Pediatr 2023;182:2173-9. [Crossref] [PubMed]
- Yakuwa K, Miyaji K, Kitamura T, et al. Neutrophil-to-lymphocyte ratio is prognostic factor of prolonged pleural effusion after pediatric cardiac surgery. JRSM Cardiovasc Dis 2021;10:20480040211009438.
- Lu L, Zhang H, Dauphars DJ, et al. A Potential Role of Interleukin 10 in COVID-19 Pathogenesis. Trends Immunol 2021;42:3-5. [Crossref] [PubMed]
- Li X, Liu C, Mao Z, et al. Predictive values of neutrophil-to-lymphocyte ratio on disease severity and mortality in COVID-19 patients: a systematic review and meta-analysis. Crit Care 2020;24:647.
- Chan AS, Rout A. Use of Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios in COVID-19. J Clin Med Res 2020;12:448-53. [Crossref] [PubMed]
- Jimeno S, Ventura PS, Castellano JM, et al. Prognostic implications of neutrophil-lymphocyte ratio in COVID-19. Eur J Clin Invest 2021;51:e13404. [Crossref] [PubMed]
- Liu Y, Du X, Chen J, et al. Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect 2020;81:e6-e12. [Crossref] [PubMed]
- Sethi G, Sung B, Aggarwal BB. TNF: a master switch for inflammation to cancer. Front Biosci 2008;13:5094-107. [Crossref] [PubMed]
- Briasoulis A, Androulakis E, Christophides T, et al. The role of inflammation and cell death in the pathogenesis, progression and treatment of heart failure. Heart Fail Rev 2016;21:169-76. [Crossref] [PubMed]
- Frangogiannis NG. Regulation of the inflammatory response in cardiac repair. Circ Res 2012;110:159-73. [Crossref] [PubMed]
- Frangogiannis NG. The inflammatory response in myocardial injury, repair, and remodelling. Nat Rev Cardiol 2014;11:255-65. [Crossref] [PubMed]
- Ouyang W, Rutz S, Crellin NK, et al. Regulation and functions of the IL-10 family of cytokines in inflammation and disease. Annu Rev Immunol 2011;29:71-109. [Crossref] [PubMed]
- Wan S, DeSmet JM, Barvais L, et al. Myocardium is a major source of proinflammatory cytokines in patients undergoing cardiopulmonary bypass. J Thorac Cardiovasc Surg 1996;112:806-11. [Crossref] [PubMed]
- Galeone A, Grano M, Brunetti G. Tumor Necrosis Factor Family Members and Myocardial Ischemia-Reperfusion Injury: State of the Art and Therapeutic Implications. Int J Mol Sci 2023;24:4606. [Crossref] [PubMed]
- Bierer J, Stanzel R, Henderson M, et al. Novel inflammatory mediator profile observed during pediatric heart surgery with cardiopulmonary bypass and continuous ultrafiltration. J Transl Med 2023;21:439. [Crossref] [PubMed]
- Yang Z, Zingarelli B, Szabó C. Crucial role of endogenous interleukin-10 production in myocardial ischemia/reperfusion injury. Circulation 2000;101:1019-26. [Crossref] [PubMed]
- Dewald O, Ren G, Duerr GD, et al. Of mice and dogs: species-specific differences in the inflammatory response following myocardial infarction. Am J Pathol 2004;164:665-77. [Crossref] [PubMed]
- Yao Y, Simard AR, Shi FD, et al. IL-10-producing lymphocytes in inflammatory disease. Int Rev Immunol 2013;32:324-36. [Crossref] [PubMed]
- Manuel V, Miana LA, Solla DJF, et al. Preoperative level of neutrophil-lymphocyte ratio: Comparison between cyanotic and acyanotic congenital heart disease. J Card Surg 2021;36:1376-80. [Crossref] [PubMed]