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. 2020 Feb 24;20:87. doi: 10.1186/s12887-020-1972-y

Risk factors for low cardiac output syndrome in children with congenital heart disease undergoing cardiac surgery: a retrospective cohort study

Xinwei Du 1, Hao Chen 1, Xiaoqi Song 1, Shunmin Wang 1, Zedong Hao 2, Lifeng Yin 2, Zhaohui Lu 1,
PMCID: PMC7038550  PMID: 32093619

Abstract

Background

Low cardiac output syndrome (LCOS) is an important complication of cardiac surgery. It is associated with increased morbidity and mortality. The incidence of LCOS after surgery is high in patients with congenital heart disease (CHD). Therefore, determining the risk factors of LCOS has clinical significance for the management of CHD. This study aimed to analyze the risk factors of LCOS.

Methods

We conducted a retrospective analysis of children with CHD who underwent cardiac surgery at Shanghai Children’s Medical Center between January 1, 2014, and December 31, 2017. Demographic characteristics and baseline data were extracted from the health data resource center of the hospital, which integrates clinical routine data including medical records, diagnoses, orders, surgeries, laboratory tests, imaging, nursing, and other subsystems. Logistic regressions were performed to analyze the risk factors of LCOS.

Results

Overall, 8660 infants with CHD were included, and 864 (9.98%) had LCOS after surgery. The multivariate regression analysis identified that age (OR 0.992, 95% CI: 0.988–0.997, p = 0.001), tricuspid regurgitation (1.192, 1.072–1.326, p = 0.001), Risk Adjustment in Congenital Heart Surgery-1 risk grade (1.166, 1.011–1.345, p = 0.035), aortic shunt (left-to-right: 1.37, 1.005–1.867, p = 0.046; bi-directional: 1.716, 1.138–2.587, p = 0.01), atrial shunt (left-to-right: 1.407, 1.097–1.805, p = 0.007; right-to-left: 3.168, 1.944–5.163, p < 0.001; bi-directional: 1.87, 1.389–2.519, p < 0.001), ventricular level shunt (left-to-right: 0.676, 0.486–0.94, p = 0.02; bi-directional: 2.09, 1.611–2.712, p < 0.001), residual shunt (3.489, 1.502–8.105, p = 0.004), left ventricular outflow tract obstruction (3.934, 1.673–9.254, p = 0.002), right ventricular outflow tract obstruction (3.638, 1.225–10.798, p = 0.02), circulating temperature (mild hypothermia: 1.526, 95% CI: 1.205–1.934, p < 0.001; middle and low temperature: 1.738, 1.236–2.443, p = 0.001), duration of cardiopulmonary bypass (1.009, 1.006–1.012, p < 0.001), myocardial preservation using histidine-tryptophan-ketoglutarate (1.677, 1.298–2.167, p < 0.001), and mitral insufficiency (1.714, 1.239–2.37, p < 0.001) were independent risk predictors of LCOS.

Conclusions

The incidence of postoperative LCOS in CHD children remains high. Circulation temperature, myocardial preservation using histidine-tryptophan-ketoglutarate, and usage of residual shunt after surgery were independent risk predictors for LCOS.

Keywords: Low cardiac output syndrome, Congenital heart disease, Risk factor, Cardiac surgery, Left ventricular ejection fraction, Cardiopulmonary bypass

Background

Low cardiac output syndrome (LCOS) is the most common complication following cardiac surgeries. The incidence of LCOS in the surgical treatment of congenital heart disease (CHD) has been reported to be 25–60% [1], associated with a significant risk of mortality among patients [2, 3]. LCOS is associated with a decreased ejection fraction and decreased oxygen supply, which may cause hypoxia. The patients are often at a high risk of mortality and require more intensive care such as extended stay in the intensive care unit (ICU) and ventilatory support.

The etiology of postoperative LCOS is multifactorial [4]. Pathologically, endothelial dysfunction and myocardial stunning, acute changes in the loading conditions of the myocardium, use of cardioplegia, activation of the inflammatory and complement cascade caused by cardiopulmonary bypass (CPB), and the residual hemodynamic burden of uncorrected defects [5] have been suggested to be the causes of LCOS. The most commonly reported clinical predictors of LCOS include left ventricular ejection fraction < 20%, surgical history, female gender, and increasing age [2, 6, 7]. Prediction models based on clinical data, such as EuroSCORE, have been proposed [8]. However, the risk factors of LCOS are varied in the literature according to the population and surgery categories included [2, 911].

To date, only a few studies presented the detailed analysis of the risk factors for postoperative LCOS and the further complications in children with CHD. This study aimed to analyze the risk factors for LCOS and to determine their association with the incidence of postoperative death, extended ICU stay, and the duration of mechanical ventilator support in Chinese children with and without LCOS.

Methods

Study design and population

In this retrospective study, patients with CHD who underwent cardiac surgery at Shanghai Children’s Medical Center from January 1, 2014, to December 31, 2017, were included. Patients aged ≥18 years, on CPB, who had undergone general thoracic surgery not involving cardiotomy, or with uncertain in-hospital survival records were excluded from the study. The study was approved by the Ethical Committee of Shanghai Children’s Medical Center. Demographic characteristics and baseline data were extracted from the health data resource center of the hospital, which integrated clinical routine data including medical records, diagnoses, orders, operations, laboratory tests, imaging, nursing, and other subsystems.

Patients were classified into two groups, based on whether they developed LCOS into the LCOS and non-LCOS groups. The baseline characteristics and intraoperative features of the two groups were compared. Associations of these characteristics with LCOS were analyzed using regression analysis. In addition, the mortality, extended ICU stay, and duration of mechanical ventilator support were compared between the two groups.

Outcomes

LCOS is characterized by clinical signs or symptoms including elevated blood lactate or rapid increase in blood lactate, decreased central venous oxygen saturation, increased arterial to central venous oxygen saturation difference, decreased urine output, increased peripheral skin temperature to core body temperature difference, and low echocardiographic Doppler-derived cardiac index, high inotrope requirement [12]. In-hospital mortality was defined as death during the same hospitalization regardless of cause. Prolonged ICU stay was defined as > 3 days of ICU stay, and extended duration of mechanical ventilation support was defined as > 48 h’ ventilatory support [13].

Risk factors

The risk factors of LCOS analyzed in this study include baseline and demographic data, pre-operative Doppler echocardiography characteristics, characteristics of surgery and CPB, as well as postoperative measures of CHD. The body mass index (BMI), as categorical data percentiles varied according to age groups, which were age-adjusted according to the pediatric BMI reference data for China [14]. Moreover, the Risk Adjustment in Congenital Heart Surgery-1 (RACHS-1) score was defined as ordinal data; an increase in the RACHS-1 score can indicate the risk of LCOS [15]. Nutrition status has been recognized as an important risk factor of postoperative complications in CHD surgery. In this study, the incidences of LCOS in CHD children with different nutrition status were analyzed separately.

Statistical analysis

Continuous variables are expressed as mean ± standard deviation (SD) (normally distributed) or median (IQR) (non-normally distributed). Categorical variables are presented as frequency (%). Depending on the distributions, the t-test or Mann-Whitney U test was used to compare the continuous variables between the groups. In addition, a chi-squared test or Fisher’s exact test was used for the comparison of categorical variables.

Univariate logistic regressions with LCOS as an outcome were analyzed first. Then, the Variance Inflation Factor was calculated to explore the independence of the selected variables. The results are listed in Supplemental Table 1, and there is no evidence to show dependence among the selected factors. Therefore, the significant variables were entered into multiple logistic regressions without an interaction term, and the stepwise variable selection method was used to identify the potential risk factors of LCOS. All tests were two-sided, and P < 0.05 was considered as statistically significant. All analyses were performed using SAS software, version 9.4 (SAS Institute INC).

Results

Demographic characteristics of CHD children

Overall, 8660 children were included in the study, with 864 (9.98%) LCOS cases after surgery. The demographic characteristics at baseline including age (p < 0.001) and body mass index (BMI) <5th percentile (p = 0.016) were significantly different between the CHD children with LCOS and those without LCOS (Table 1).

Table 1.

The clinical characteristics of CHD children (including demographic characteristics, pre-operative color doppler echocardiography characteristics, the characteristic of surgery and cardiopulmonary bypass, and post-operative characteristics)

Parameter LCOS (n = 864) non-LCOS (n = 7796) Total (n = 8660) P value
Demographic characteristics
 Age (days) Median (IQR) 206.5 (94,507.5) 350 (182, 950.5) 329 (173, 916) < 0.001
 Gender MALE 56.4% 55.0% 55.1% 0.4
FEMALE 43.6% 45.1% 44.9%
 BMI <5th percentile 23.4% 19.0% 19.5% 0.016
5th~95th percentile 62.8% 66.7% 66.3%
>95th percentile 13.8% 14.3% 14.2%
Pre-operative color doppler echocardiography characteristics
 Aortic shunt None 76.1% 90.4% 89.0% < 0.001
Left-to-right 15.3% 7.7% 8.4%
Right-to-left 0.7% 0.03% 0.1%
Bi-directional 8.0% 1.9% 2.5%
 Atrial shunt None 21.7% 36.5% 35.1% < 0.001
Left-to-right 39.6% 47.8% 47.0%
Right-to-left 6.9% 2.7% 3.1%
Bi-directional 31.8% 13.0% 14.9%
 Ventricular level shunt None 23.7% 28.6% 28.1% < 0.001
Left-to-right 12.3% 40% 37.3%
Right-to-left 0.3% 0.1% 0.1%
Bi-directional 63.8% 31.3% 34.5%
 AI Negative 80.0% 83.1% 82.8% 0.035
Minimal 13.6% 10.8% 11.0%
Mild 5.2% 5.2% 5.2%
Mild-to-moderate 0.3% 0.5% 0.4%
Moderate 0.4% 0.3% 0.3%
Moderate-to-severe 0.1% 0.1% 0.1%
Severe 0.5% 0.1% 0.1%
 MR Negative 26.6% 22.6% 23.0% 0.9
Minimal 43.0% 49.0% 48.4%
Mild 18.5% 20.5% 20.3%
Mild-to-moderate 6.1% 4.5% 4.6%
Moderate 3.3% 2.3% 2.4%
Moderate-to-severe 1.7% 0.7% 0.8%
Severe 0.8% 0.4% 0.4%
 PI Negative 16.3% 9.2% 9.9% 0.007
Minimal 53.1% 59.5% 58.9%
Mild 28.8% 29.6% 29.6%
Mild-to-moderate 0.7% 0.6% 0.6%
Moderate 1.1% 1.0% 1.0%
Moderate-to-severe 0% 0.03% 0.03%
Severe 0% 0.04% 0.04%
 TR Negative 1.2% 0.4% 0.5% 0.001
Minimal 42.8% 47.4% 46.9%
Mild 40.3% 43.3% 43%
Mild-to-moderate 8.5% 5.6% 5.8%
Moderate 4.4% 2.4% 2.6%
Moderate-to-severe 2.0% 0.4% 0.6%
Severe 0.8% 0.5% 0.6%
 LVEF < cut off value 56.3% 55.4% 55.5% 0.7
Normal 27.3% 28.7% 28.5%
> cut off value 16.5% 15.9% 16%
 LVFS < cut off value 56.9% 54.2% 54.4% 0.1
Normal 27.5% 30.9% 30.6%
> cut off value 15.6% 14.9% 15.0%
 Mitral insufficiency NO 92.0% 93.8% 93.6% 0.044
YES 8.0% 6.2% 6.4%
 Mitral Stenosis NO 99.0% 99.4% 99.4% 0.1
YES 1.0% 0.6% 0.6%
The characteristic of surgery and cardiopulmonary bypass
 History of heart surgery NO 84.6% 92.3% 91.5% < 0.001
YES 15.4% 7.7% 8.5%
 RACHS-1 risk grade 1 6.0% 13.9% 13.1% < 0.001
2 50.1% 62.8% 61.6%
3 32.4% 20.9% 22.1%
4 10.3% 2.2% 3.0%
5 1.2% 0.1% 0.2%
6 0% 0.1% 0.1%
 CPB duration (min) Median (IQR) 87 (62,119) 51 (38,72) 53 (39,78) < 0.001
 Aortic clamping time (min) Median (IQR) 53 (37,74) 29 (20,44) 31 (21,48) < 0.001
 Operation characteristics Selective extracorporeal surgery 92.8% 98.6% 98% < 0.001
Emergency non-extracorporeal surgery 0.1% 0.01% 0.02%
Emergency extracorporeal surgery 7.1% 1.2% 1.8%
Selective non-extracorporeal surgery 0% 0.1% 0.1%
Elective thoracotomy 0% 0.1% 0.1%
 Circulating temperature Normal temperature 21.8% 53.1% 49.9% < 0.001
Mild hypothermia 52.0% 38.7% 40.1%
Deep hypothermia 2.2% 0.6% 0.7%
Middle and low temperature 24.1% 7.6% 9.3%
 Circulation method Low flow cycle 0.7% 0.1% 0.1% < 0.001
Cerebral perfusion 5.3% 1.5% 1.9%
Parallel CPB 3.0% 3.4% 3.3%
Full flow 89.9% 94.6% 94.2%
Circulatory arrest 0.9% 0.4% 0.4%
Cerebrovascular perfusion 0.1% 0.1% 0.1%
 Difficult to wean from CPB NO 99.7% 99.9% 99.9% 0.1
YES 0.4% 0.1% 0.1%
 Myocardial preservation HTK 31.6% 8.9% 11.2% < 0.001
Cold blood cardioplegia (4:1) 68.4% 91.1% 88.8%
Post-operative characteristic
 Residual shunt NO 98.4% 99.6% 99.5% < 0.001
YES 1.62%) 0.4% 0.5%
 LVOTO NO 98.3% 99.5% 99.4% < 0.001
YES 1.7% 0.5% 0.6%
 RVOTO NO 98.4% 99.7% 99.6% < 0.001
YES 1.6% 0.3% 0.4%
 Postoperative rhythm of the heart III°AVB 1.2% 0.1% 0.2% < 0.001
II°AVB 0.6% 0.2% 0.2%
Atrioventricular dissociation 0.2% 0.1% 0.1%
Supraventricular tachycardia 0.2% 0.1% 0.1%
Sinus rhythm 97.8% 99.5% 99.3%

Abbreviation: CHD Congenital Heart Disease, LCOS Low Cardiac Output Syndrome, BMI Body Mass Index, AI Aortic Insufficiency, MR Mitral Regurgitation, PI Pulmonary Insufficiency, TR Tricuspid Regurgitation, LVEF Left Ventricular Ejection Fraction, LVFS left ventricular fraction shortening, CPB Cardiopulmonary Bypass, LVOTO Left Ventricular Outflow Tract Obstruction, RVOTO Right Ventricular Outflow Tract Obstruction, HTK histidine-tryptophan-ketoglutarate, AVB atrioventricular block

Preoperative Doppler echocardiography characteristics of CHD children

When Doppler echocardiography characteristics were compared between the CHD children in the two groups, it was found that aortic shunt (p < 0.001), atrial shunt (p < 0.001), ventricular level shunt (p < 0.001), aortic insufficiency (p = 0.035), pulmonary insufficiency (p = 0.007), tricuspid regurgitation (TR) (p = 0.001), and mitral insufficiency (p = 0.044) of LCOS patients were significantly different from those of non-LCOS patients (Table 1).

Characteristics of surgery and cardiopulmonary bypass of CHD children

In LCOS patients, operation characteristics (p < 0.001), procedure complexity (represented by RACHS-1 risk grade) (p < 0.001), CPB duration (p < 0.001), aortic clamping time (< 0.001), history of heart surgery (p < 0.001), circulating temperature (p < 0.001), circulation method (< 0.001), and myocardial preservation (p < 0.001) were significantly different from those without LCOS (Table 1).

Postoperative measures of CHD children

There were significant differences in postoperative residual shunt (p < 0.001), left ventricular outflow tract obstruction (LVOTO, p < 0.001), right ventricular outflow tract obstruction (RVOTO, p < 0.001), and postoperative rhythm of the heart (p < 0.001) between LCOS and non-LCOS patients (Table 1).

Logistic regression analysis

Univariate analysis identified that age, aortic insufficiency, pulmonary insufficiency, TR, RACHS-1 risk grade, aortic shunt, atrial shunt, ventricular level shunt, emergency extracorporeal surgery, history of heart surgery, residual shunt, LVOTO, RVOTO, abnormal circulation temperature, circulation method (except for parallel CPB and cardio-cerebral perfusion), duration of CPB, aortic clamping time, postoperative rhythm of the heart (III°AVB, II°AVB), difficult to wean from CPB, myocardial preservation using histidine-tryptophan-ketoglutarate (HTK), BMI <5th percentile, and mitral insufficiency were significantly associated with LCOS in CHD children (Table 2).

Table 2.

Univariate/multivariate logistic regression analysis for the association of pre−/post-operative characteristics with LCOS

Univariate analysis Multivariate analysis
Parameter OR (95% CI) P-value OR (95% CI) Pvalue
Age (days) 0.992 (0.989,0.995) < 0.001 0.992 (0.988,0.997) 0.001
Gender Male vs Female 1.06 (0.92,1.22) 0.4
AI 1.118 (1.008,1.239) 0.034
MR 1.06 (0.99,1.14) 0.1
PI 0.845 (0.751,0.951) 0.005
TR 1.226 (1.13,1.33) < 0.001 1.192 (1.072,1.326) 0.001
RACHS-1 risk grade 2.094 (1.903,2.304) < 0.001 1.166 (1.011,1.345) 0.035
Aortic shunt Left-to-right vs None 2.363 (1.904,2.932) < 0.001 1.37 (1.005,1.867) 0.046
Right-to-left vs None 27.469 (5.318,141.869) < 0.001
Bi-directional vs None 5.087 (3.721,6.953) < 0.001 1.716 (1.138,2.587) 0.01
Atrial shunt Left-to-right vs None 1.396 (1.151,1.693) 0.001 1.407 (1.097,1.805) 0.007
Right-to-left vs None 4.412 (3.149,6.18) < 0.001 3.168 (1.944,5.163) < 0.001
Bi-directional vs None 4.111 (3.34,5.059) < 0.001 1.87 (1.389,2.519) < 0.001
Ventricular level shunt Left-to-right vs None 0.37 (0.288,0.476) < 0.001 0.676 (0.486,0.94) 0.02
Right-to-left vs None 3.16 (0.65,15.32) 0.2 3.458 (0.452,26.448) 0.2
Bi-directional vs None 2.452 (2.052,2.93) < 0.001 2.09 (1.611,2.712) < 0.001
Operation characteristics Emergency non-extracorporeal surgery vs Selective extracorporeal surgery 9.58 (0.6153.34) 0.1
Emergency extracorporeal surgery vs Selective extracorporeal surgery 6.153 (4.425,8.556) < 0.001
Selective non-extracorporeal surgery vs Selective extracorporeal surgery 0 (0,1.053157E255) 0.97
Elective thoracotomy vs Selective extracorporeal surgery 0 (0) 0.98
History of heart surgery YES vs NO 2.17 (1.772,2.658) < 0.001
Residual shunt YES vs NO 4.264 (2.252,8.073) < 0.001 3.489 (1.502,8.105) 0.004
LVOTO YES vs NO 3.81 (2.078,6.988) < 0.001 3.934 (1.673,9.254) 0.002
RVOTO YES vs NO 5.82 (2.967,11.418) < 0.001 3.638 (1.225,10.798) 0.02
Circulating temperature Mild hypothermia vs Normal temperature 3.271 (2.741,3.903) < 0.001 1.526 (1.205,1.934) < 0.001
Deep hypothermia vs Normal temperature 9.289 (5.328,16.194) < 0.001 1.369 (0.587,3.194) 0.467
Middle and low temperature vs Normal temperature 7.691 (6.202,9.537) < 0.001 1.738 (1.236,2.443) 0.001
Circulation method Low flow vs Full flow 11.395 (3.47,37.422) < 0.001
Cerebral perfusion vs Full flow 3.671 (2.591,5.199) < 0.001
Parallel CPB vs Full flow 0.94 (0.63,1.42) 0.8
Circulatory arrest vs Full flow 2.813 (1.274,6.214) 0.011
Cardio-cerebral Perfusion vs Full flow 1.90 (0.22,16.28) 0.6
CPB duration (min) 1.016 (1.014,1.017) < 0.001 1.009 (1.006,1.012) < 0.001
Aortic clamping time (min) 1.026 (1.023,1.028) < 0.001
Postoperative rhythm of the heart III°AVB vs Sinus rhythm 9.181 (3.81,22.121) < 0.001
II°AVB vs Sinus rhythm 2.869 (1.048,7.851) 0.04
Atrioventricular dissociation vs Sinus rhythm 2.30 (0.49,10.83) 0.3
Supraventricular tachycardia vs Sinus rhythm 4.59 (0.84,25.1) 0.1
Difficult to wean from CPB YES vs NO 4.524 (1.129,18.121) 0.033
Myocardial preservation HTK vs Cold blood cardioplegia (4:1) 4.744 (4.014,5.607) < 0.001 1.677 (1.298,2.167) < 0.001
BMI <5th percentile vs 5th~5th percentile 1.305 (1.086,1.569) 0.004
>95th percentile vs 5th~5th percentile 1.03 (0.82,1.28) 0.8
LVEF < cut off value vs Normal 1.07 (0.90,1.27) 0.4
> cut off value vs Normal 1.09 (0.87,1.37) 0.5
LVFS < cut off value vs Normal 1.18 (1.00,1.4) 0.1
> cut off value vs Normal 1.18 (0.93,1.48) 0.2
Mitral insufficiency YES vs NO 1.309 (1.006,1.702) 0.045 1.714 (1.239,2.37) 0.001
Mitral stenosis YES vs NO 1.77 (0.87,3.64) 0.1

Abbreviation: OR Odds Ratio, CI Confidence Interval, LCOS Low Cardiac Output Syndrome, BMI Body Mass Index, AI Aortic Insufficiency, MR Mitral Regurgitation, PI Pulmonary Insufficiency, TR Tricuspid Regurgitation, LVEF Left Ventricular Ejection Fraction, LVFS left ventricular fraction shortening, CPB Cardiopulmonary Bypass, LVOTO Left Ventricular Outflow Tract Obstruction, RVOTO Right Ventricular Outflow Tract Obstruction, HTK histidine-tryptophan-ketoglutarate, AVB atrioventricular block

Multivariate analysis of these variables found age (OR 0.992, 95% CI: 0.988–0.997, p = 0.001), TR (OR 1.192, 95% CI 1.072–1.326, p = 0.001), RACHS-1 risk grade (OR 1.166, 95% CI 1.011–1.345, p = 0.035), aortic shunt (left-to-right: OR 1.37, 95% CI 1.005–1.867, p = 0.046; bi-directional: OR 1.716, 95% CI 1.138–2.587, p = 0.01), atrial shunt (left-to-right: OR 1.407, 95% CI 1.097–1.805, p = 0.007; right-to-left: OR 3.168, 95% CI 1.944–5.163, p < 0.001; bi-directional: OR 1.87, 95% CI 1.389–2.519, p < 0.001), ventricular level shunt (left-to-right: OR 0.676, 95% CI 0.486–0.94, p = 0.02; bi-directional: OR 2.09, 95% CI 1.611–2.712, p < 0.001), residual shunt (OR 3.489, 95% CI 1.502–8.105, p = 0.004), LVOTO (OR 3.934, 95% CI 1.673–9.254, p = 0.002), RVOTO (OR 3.638, 95% CI 1.225–10.798, p = 0.02), circulating temperature (mild hypothermia: OR 1.526, 95% CI 1.205–1.934, p < 0.001; middle and low temperature: OR 1. 738, 95% CI 1.236–2.443, p = 0.001), duration of CPB (OR 1.009, 95% CI 1.006–1.012, p < 0.001), myocardial preservation using HTK (OR 1.677, 95% CI 1.298–2.167, p < 0.001), and mitral insufficiency (OR 1.714, 95% CI 1.239–2.37, p < 0.001) were independent risk predictors of LCOS (Table 2).

Postoperative mortality, prolonged ICU stay, and extended medical ventilator support in LCOS and non-LCOS CHD children

The mortality rate (7.18% vs. 1.08%, p < 0.001), ICU stay > 3 days (89.24% vs. 33.35%, p < 0.001), and duration of mechanical ventilator support > 48 h (93.21% vs. 44.5%, p < 0.001) of LCOS children were significantly higher than those of non-LCOS children (Table 3).

Table 3.

The post-operative mortality, length of ICU > 3d, duration of Medical ventilator > 48 h in LCOS and non-LCOS CHD children

Parameter LCOS (n = 864) Non- LCOS (n = 7796) Total (n = 8660) P value
Mortality (%) NO 92.8% 98.9% 98.3% < 0.001
YES 7.2% 1.1% 1.7%
Length of ICU stay <=3d 10.8% 66.7% 61.1% < 0.001
> 3d 89.2% 33.4% 38.9%
Duration of Medical ventilator <=48 h 6.8% 55.5% 50.7% < 0.001
> 48 h 93.2% 44.5% 49.3%

Abbreviation: ICU Intensive Care Unit, LCOS Low Cardiac Output Syndrome, CHD Congenital Heart Disease

Incidence of postoperative LCOS in children with CHD of different nutritional status

In CHD children with BMI <5th percentile, the incidences of LCOS showed a gradually decreasing trend in neonates aged > 3 months. In neonates aged 3–6 months, the incidence increased, declined in children aged 6 months to > 3 years old. In patients with BMI 5th~95th percentile and > 95th percentile, the incidences of LCOS showed a gradually decreasing trend. (Table 4).

Table 4.

Incidence of postoperative LCOS in children with CHD of different nutritional status

Age BMI < 5th percentile BMI 5th~95th percentile BMI > 95th percentile
< 1 month 41.2% 39.4% 35.7%
1 month~ 3 month 17.9% 26.1% 17.9%
3 month~ 6 month 21.4% 12.5% 9.1%
6 month~ 1 year 11.5% 9.3% 5.1%
1 year~ 3 year 10.2% 4.4% 4.2%
> 3 year 12.6% 7.8% 3.1%

Abbreviation: 3.LCOS Low Cardiac Output Syndrome, CHD Congenital Heart Disease

Discussion

In our study, the incidence of LCOS was 9.98%, which is higher than that in adult patients postoperatively (2.4–9.1%) [2, 3, 7], but lower than that of another study on newborns, in which the LCOS incidence at 36 h after surgery was 25.9, 17.5, and 11.7% of infants (median age, 3 months) on placebo, low-dose milrinone, and high-dose milrinone, respectively [16]. In a secondary retrospective analysis of a prospective randomized trial, LCOS occurred in 32 of 76 (42%) neonates (median age, 7 days) after cardiac surgery [17]. This difference was attributed to the probable difference in age. Neonatal myocardium is physiologically immature [1821] and every procedure affects the incidence of LCOS differently [22]. The age range of children included in this study was larger (1–6457 days), and we included different types of cardiac surgery. This could be the main reason why the LCOS incidence was higher than that in adults and lower than that in newborns.

We found that age, aortic shunt (left-to-right and bi-directional), atrial shunt, ventricular level shunt (left-to-right and bi-directional), circulation temperature, and myocardial preservation using HTK were independent predictors of LCOS.

The risk for LCOS was higher for neonates given that their myocardial development is not complete. The effect of age on the risk of LCOS in adults has been confirmed earlier. In a prospective study, multivariate analysis showed that age was an independent predictor of LCOS [9] and a retrospective study ascertained that increasing age is an independent predictor of LCOS [2].

By preoperative Doppler echocardiography characteristics of CHD children, aortic shunt (left-to-right and bi-directional), atrial shunt, ventricular level shunt (left-to-right and bi-directional) were deduced as significant risk factors for LCOS. Left-to-right shunt before surgery may result in right heart failure, leading to low cardiac output. Xiong et al. found that preoperative right-left shunt ventricular septal defect was a risk factor of LCOS [23]. Ischemic mitral valve pathology was found as an independent predictor for LCOS after isolated mitral valve surgery [3].

We also found that the circulation temperature (mild hypothermia, middle and low temperature) and the proportion of myocardium preserved using HTK were independent predictors of LCOS. During routine hypothermic CPB, the heart is damaged by hypothermia, ischemia-reperfusion, or hyperkalemia, which is associated with an excess risk of postoperative LCOS and severe arrhythmia [24]. Yau et al. found that during hypothermic CPB, the myocardium acquires energy through anaerobic metabolism, leading to the accumulation of lactic acid. After reperfusion, aerobic metabolism cannot be resumed immediately in cardiomyocytes owing to low temperature, but still anaerobic metabolism can occur for a short period. Whereas, patients with mild hypothermia CPB are less affected [25]. The study found that the inflammatory response mediated by CPB caused pulmonary vascular endothelial damage, which changed the pulmonary vascular reactivity. These cause excessive thromboxane production and reduced endogenous nitric oxide production, which can lead to pulmonary vasoconstriction and formation of pulmonary microthrombus. Further, these changes could induce pulmonary vascular resistance, which increases after CPB [26]. Then, the right ventricular afterload increases, which is significantly associated with right ventricular dysfunction and LCOS.

Obesity or high BMI is a common factor associated with poor prognosis. A propensity score-matched analysis found that obese (BMI, ≥30 kg/m2) patients who underwent surgery for type A acute aortic dissection had higher postoperative mortality rates. Moreover, a previous report stated that obesity was significantly associated with increased risk of LCOS and other postoperative morbidities [27]. However, in our study, there was no significant correlation between BMI and LCOS risk after cardiac surgery in CHD children. This correlation is different from the results of the abovementioned study on adults and we ascertain that the ‘obesity paradox’ may explain this inconsistency. The BMI of the CHD children in our study may be lower than that of the general population, and the patients with BMI > P95 percentile did not have such high obesity levels.

LCOS is associated with significantly high morbidity and mortality. In our study, the mortality rate (7.18% vs. 1.08%, p < 0.001), ICU stay > 3 days (89.24% vs. 33.35%, p < 0.001) and the duration of mechanical ventilator support > 48 h (93.21% vs. 44.5%, p < 0.001) were significantly higher in LCOS children compared to those without LCOS. A previous study showed that LCOS was associated with significantly high morbidity and mortality in adults [3].

Therefore, cardiac surgery can cause LCOS in children with CHD and result in poorer postsurgical outcomes. In the current study, we confirmed the impact of LCOS on postoperative clinical outcomes in CHD children.

Limitations

This study had certain limitations. First, this is a retrospective study; the correlations may not confirm a causal relationship between the risk factors and LCOS. Second, we included patients from a single center only; hence, the application of these findings on other populations and institutions need to be reproduced in further large-scale multi-center studies. Since this is a single-center study, the impact of surgery outcomes and hospitalizations from other centers was not considered.

Conclusion

In conclusion, our study provides clinically significant evidence to indicate a significant association of LCOS with postoperative clinical outcomes (including mortality, prolonged ICU stay, and extended mechanical ventilator support) in children with CHD. Circulation temperature, myocardial preservation using HTK, and usage of residual shunt after surgery were independent risk predictors for LCOS. Further multi-center studies toned to be conducted with a larger sample size to confirm our study results.

Supplementary information

12887_2020_1972_MOESM1_ESM.docx (15.4KB, docx)

Additional file 1: Table S1. The Variance Inflation Factor of selected variables.

Acknowledgments

Extremely grateful to all the staff who contributed to the study. Thankful to Shanghai Synyi Medical Technology Co., Ltd. for providing the data analysis and statistical platform.

Abbreviations

BMI

Body mass index

CHD

Congenital heart disease

CPB

Cardiopulmonary bypass

HTK

Histidine-tryptophan-ketoglutarate

ICU

Intensive care unit

LCOS

Low cardiac output syndrome

LVEF

Left ventricular ejection fraction

LVFS

Left ventricular fractional shortening

LVOTO

Left ventricular outflow tract obstruction

MR

Mitral regurgitation

RACHS-1

Risk Adjustment in Congenital Heart Surgery-1

RVOTO

Right ventricular outflow tract obstruction

TR

Tricuspid regurgitation

Authors’ contributions

XD acquired the data, implemented the research, revised the article, and approved the final version of the manuscript for publication. HC was responsible for data acquisition, data cleaning, analysis and interpretation of data, and finalizing the manuscript for publication. XS was responsible for data review, data analysis, manuscript revision, and finalizing the manuscript for publication. SW was responsible for supervision of the project execution (ensuring the accuracy or integrity of any part of the work), acquisition of data, data analysis and interpretation, approving the final version of the manuscript to be published, and agreed to be 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. ZH was responsible for analysis and interpretation of data, drafting the article, and approving the final manuscript to be published. LY was responsible for the statistical analysis of the research data, revising the article, and approving the final manuscript to be published. ZL was responsible for the determination of the research direction, the design of the research program, summarizing the research questions, analysis, data interpretation, final approval of the version to be published, and agreed to be 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 author(s) read and approved the final manuscript

Funding

The research was funded by the Fund of Shanghai Jiao Tong University (No: YG2015QN23).

Availability of data and materials

The datasets generated during and/or analyzed during the current study are not publicly available due to the hospital regulation.

Ethics approval and consent to participate

Our retrospective study is in accordance with the ethical principles of the “Declaration of Helsinki” and the “International Ethical Guidelines for Biomedical Research Involving Human Subjects” enforced by the Council for International Organizations of Medical Science. Therefore, the ethical committee of the hospital decided to exempt the study from informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12887-020-1972-y.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12887_2020_1972_MOESM1_ESM.docx (15.4KB, docx)

Additional file 1: Table S1. The Variance Inflation Factor of selected variables.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are not publicly available due to the hospital regulation.


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