Low Cardiac Output Syndrome After Adult Cardiac Surgery

Effect of Ciprofol on Left Ventricular Myocardial Strain and Myocardial Work in Children Undergoing Cardiac Surgery: A Single-center Double-blind Randomized Noninferiority Study

OBJECTIVE

The current work was designed to compare the effects of ciprofol and propofol on left ventricular systolic function and myocardial work by noninvasive speckle-tracking echocardiography in children undergoing surgical repair of atrial septal or ventricular septal defects.

DESIGN

A single-center double-blind randomized noninferiority study was conducted.

SETTING

The research occurred at a tertiary care center affiliated with Shanghai Jiao Tong University, China.

PARTICIPANTS

One hundred and twelve children aged 1 month to 16 years undergoing atrial septal or ventricular septal defect surgery with cardiopulmonary bypass were included.

INTERVENTIONS

One hundred and twelve children were allocated randomly to receive ciprofol (n = 67) or propofol (n = 45) in a 1.5:1 ratio. Ciprofol or propofol were intravenously infused at loading doses of 0.4 mg/kg or 2.0 mg/kg, respectively, over 30 seconds, depending on the physical condition of each patient. When the bispectral index was maintained between 45 and 55 after induction, transthoracic echocardiography, including apical two-chamber, three-chamber, and four-chamber views, were collected bedside.

MEASUREMENTS AND MAIN RESULTS

Of the 112 patients enrolled, 104 completed the study. Global longitudinal strain in the ciprofol and propofol groups after anesthesia was -17.3% (95% confidence interval [CI] -18.0% to -16.6%) and -17.8% (95% CI -18.7 to -17.0%) in the full analysis set and -17.5% (95% CI -18.2% to -16.9%) and -17.8% (95% CI -18.7% to -17.0%) in the per-protocol set, respectively. The noninferiority margin was set at 2% and confirmed with a lower limit of two-sided 95% CI for the intergroup difference of 1.58% in the full analysis set and 1.34% in the per-protocol set. There were no significant differences between the groups in left ventricular systolic and diastolic function and myocardial work indices. Postoperative vasoactive-inotropic score, NT-proBNP, duration of mechanical ventilation, and the length of stay in the cardiac intensive care unit and hospital were also comparable between the two groups (all p > 0.05).

CONCLUSIONS

Ciprofol did not show different effects on myocardial function and postoperative outcomes from propofol. Further, on the sensitive cardiac systole marker global longitudinal strain, ciprofol demonstrated noninferiority to propofol. Ciprofol might be an alternative solution for cardiac anesthesia in children with congestive heart disease with mild lesion.

Intraoperative Augmented Rotation and Circumferential Strain Compensate for Reduction of Left Ventricular Longitudinal Function After On-Pump CABG Surgery

OBJECTIVES

Left ventricular (LV) longitudinal function is reduced after on-pump coronary artery bypass grafting (CABG), while global LV function often is preserved. There are only limited data on the underlying compensatory mechanism. Therefore, the authors aimed to describe intraoperative changes of LV contractile pattern by myocardial strain analysis.

DESIGN

A prospective observational study.

SETTING

At a single university hospital.

PARTICIPANTS

A total of 30 patients scheduled for isolated on-pump CABG with an uneventful intraoperative course and preoperative preserved LV and RV function, sinus rhythm, without more-than-mild heart valve disease, or elevated pulmonary pressure.

INTERVENTIONS

Transesophageal echocardiography was performed after induction of anesthesia (T1), after termination of cardiopulmonary bypass (T2), and after sternal closure (T3). Echocardiographic evaluation was performed under stable hemodynamics, in sinus rhythm or atrial pacing, and vasopressor support with norepinephrine ≤0.1 µg/kg/min.

MEASUREMENTS AND MAIN RESULTS

EchoPAC v204 software (GE Vingmed Ultrasound AS, Norway) was used for analysis of 2-dimensional (2D) and 3-dimensional (3D) LV ejection fraction (EF), LV global longitudinal strain (GLS), LV global circumferential strain (GCS), LV global radial strain (GRS), LV apical rotation (aRot), LV basal rotation (bRot), and LV twist. Strain analysis was feasible in all included patients after termination of cardiopulmonary bypass (T2). Although there were no significant differences in the values of conventional echocardiographic parameters during the intraoperative interval, GLS deteriorated significantly after CABG compared to pre-bypass assessment (T1 v T2, -13.4% ± 2.9 v -11.8% ± 2.9; p = 0.007). GCS improved significantly after surgery (T1 v T2, -19.4% (IQR -17.1% to -21.2%) v -22.8% (IQR -21.1% to -24.7%); p < 0.001) as well as aRot (T1 v T2, -9.7° (IQR -7.1° to -14.1°) v -14.5° (IQR -12.1° to -17.1°); p < 0.001), bRot (T1 v T2, 5.1° (IQR 3.8°-6.7°) v 7.2° (IQR 5.6°-8.2°); p = 0.02), and twist (T1 v T2, 15.8° (IQR 11.7°-19.4°) v 21.6° (IQR 19.2°-25.1°); p < 0.001), while GRS remained unchanged. There were no significant changes in the values of GLS, GCS, GRS, aRot, bRot, or twist, as well as in the values of 2D and 3D LV EF before and after sternal closure (T2 v T3).

CONCLUSION

Beyond evaluation of longitudinal LV strain, measurements of circumferential and radial strain, as well as LV rotation and twist mechanics, were feasible in the intraoperative course of this study. Reduction of longitudinal function after on-pump CABG was compensated intraoperatively by improvement of GCS and rotation in the authors' group of patients. Perioperative assessment of GCS, GRS, as well as rotation and twist, might provide deeper insight into perioperative changes of cardiac mechanics.

Prediction of low cardiac output syndrome in patients following cardiac surgery using machine learning

Background

This study aimed to develop machine learning models to predict Low Cardiac Output Syndrome (LCOS) in patients following cardiac surgery using machine learning algorithms.

Methods

The clinical data of cardiac surgery patients in Nanjing First Hospital between June 2019 and November 2020 were retrospectively extracted from the electronic medical records. Six conventional machine learning algorithms, including logistic regression, support vector machine, decision tree, random forest, extreme gradient boosting and light gradient boosting machine, were employed to construct the LCOS predictive models with all predictive features (full models) and selected predictive features (reduced models). The discrimination of these models was evaluated by the area under the receiver operating characteristic curve (AUC) and the calibration of the models was assessed by the calibration curve. Shapley Additive explanation (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) were used to interpret the predictive models.

Results

Data from 1,585 patients [982 (62.0%) were male, aged 18 to 88, 212 (13.4%) with LCOS] were employed to train and validate the LCOS models. Among the full models, the RF model (AUC: 0.909, 95% CI: 0.875–0.943; Sensitivity: 0.849, 95% CI: 0.724–0.933; Specificity: 0.835, 95% CI: 0.796–0.869) and the XGB model (AUC: 0.897, 95% CI: 0.859–0.935; Sensitivity: 0.830, 95% CI: 0.702–0.919; Specificity: 0.809, 95% CI: 0.768–0.845) exhibited well predictive power for LCOS. Eleven predictive features including left ventricular ejection fraction (LVEF), first post-operative blood lactate (Lac), left ventricular diastolic diameter (LVDd), cumulative time of mean artery blood pressure (MABP) lower than 65 mmHg (MABP &lt; 65 time), hypertension history, platelets level (PLT), age, blood creatinine (Cr), total area under curve above threshold central venous pressure (CVP) 12 mmHg and 16 mmHg, and blood loss during operation were used to build the reduced models. Among the reduced models, RF model (AUC: 0.895, 95% CI: 0.857–0.933; Sensitivity: 0.830, 95% CI: 0.702–0.919; Specificity: 0.806, 95% CI: 0.765–0.843) revealed the best performance. SHAP and LIME plot showed that LVEF, Lac, LVDd and MABP &lt; 65 time significantly contributed to the prediction model.

Conclusion

In this study, we successfully developed several machine learning models to predict LCOS after surgery, which may avail to risk stratification, early detection and management of LCOS after cardiac surgery.

Analysis of risk factors of low cardiac output syndrome after congenital heart disease operation: what can we do

Background

It’s necessary to analyze the related risk factors and complications of low cardiac output syndrome (LCOS) after operation in children with congenital heart disease (CHD), to elucidate the management strategy of LCOS.

Methods

CHD children admitted to the department of cardiology in our hospital from January 15, 2019 to October 31, 2020 were included. The personal and clinical data of CHD children with LCOS and without LCOS were collected and compared. Logistic regression analyses were conducted to identify the risk factors of postoperative LCOS. Besides, the complication and mortality of LCOS and no LCOS patients were compared.

Results

A total of 283 CHD patients were included, the incidence of postoperative LCOS in CHD patients was 12.37%. There were significant differences in the age, preoperative oxygen saturation, two-way ventricular shunt, duration of CPB and postoperative residual shunt between two groups (all p < 0.05). Logistic regression analyses indicated that age ≤ 4y(OR2.426, 95%CI1.044 ~ 4.149), preoperative oxygen saturation ≤ 93%(OR2.175, 95%CI1.182 ~ 5.033), two-way ventricular shunt (OR3.994, 95%CI1.247 ~ 6.797), duration of CPB ≥ 60 min(OR2.172, 95%CI1.002 ~ 4.309), postoperative residual shunt (OR1.487, 95%CI1.093 ~ 2.383) were the independent risk factors of LCOS in patients with CHD (all p < 0.05). There were significant differences in the acute liver injury, acute kidney injury, pulmonary infection, tracheotomy, duration of mechanical ventilation, length of ICU stay and mortality (all p < 0.05), no significant difference in the 24 h drainage was found(p = 0.095).

Conclusion

LCOS after CHD is common, more attentions should be paid to those patients with age ≤ 4y, preoperative oxygen saturation ≤ 93%, two-way ventricular shunt, duration of CPB ≥ 60 min, postoperative residual shunt to improve the prognosis of CHD patients.

Right Ventricular Longitudinal Strain Predicts Low-Cardiac- Output Syndrome After Surgical Aortic Valve Replacement in Patients With Preserved and Mid-range Ejection Fraction

OBJECTIVES

The aim of this study was to analyze whether right ventricular free wall longitudinal strain (RVFWSL) could be a predictor of low-cardiac-output syndrome (LCOS) after surgical aortic valve replacement (SAVR) in patients with left ventricular ejection fraction ≥40%.

DESIGN

Prospective, observational study.

SETTING

The study was conducted at a third level university hospital.

PARTICIPANTS

The study comprised 75 patients with severe aortic stenosis and LVEF ≥40% who underwent SAVR. The primary outcome was the occurrence of LCOS, and secondary outcomes were in-hospital mortality, hospital stay, or vasoplegic syndrome.

INTERVENTIONS

Patients were divided into two groups (LCOS and no LCOS), and RVFWSL was analyzed to determine whether it is a predictor for LCOS. In addition, a receiver operating characteristic curve also was constructed, and the best cutoff value to predict LCOS was found. Furthermore, the reproducibility of RVFWSL measurements was evaluated.

MEASUREMENT AND MAIN RESULTS

The incidence of LCOS was 20% in the present study's cohort. After multivariate analysis, cross-clamp time (odds ratio 1.06, 95% confidence interval 1.02-1.11; p = 0.002) and RVFWSL (odds ratio 1.41, 95% confidence interval 1.07-1.87; p = 0.015) were the only predictors of LCOS. However, RVFWSL did not show association with secondary outcomes (p > 0.05 for all). The area under the curve of RVFWSL to predict LCOS was 0.75, and the best cutoff value was -17.3%, with a sensitivity of 86.7% and specificity of 61.7%.

CONCLUSIONS

RVFWSL seems to be a predictor of LCOS in patients with severe aortic stenosis and LVEF ≥40% undergoing SAVR. RVFWSL less than -17.3% may identify patients at increased risk for LCOS.

Biomaker evaluation for major adverse cardiovascular event development in patients undergoing cardiac Surgery

Objectives

The postoperative period of cardiac surgery (CS) is associated with the development of major adverse cardiovascular events (MACEs). However, the evaluation of MACE after CS by means of biomarkers is poorly developed. We aimed to evaluate postoperative biomarkers that could be associated with MACE.

Methods

Two Hundred and ten patients who underwent CS were enrolled during the study period. The diagnosis of MACE was defined as the presence of at least one of the following complications: acute myocardial infarction, heart failure, stroke presented during intensive care unit (ICU) stay, and 30-day mortality after CS. High-sensitive troponin T (hs-TnT), C-reactive protein, procalcitonin, interleukin-6, and immature platelet fraction (IPF) were measured on ICU admission and after 24 h. The difference between both measurements (Δ) was calculated to assess their association with MACE. Early infected patients (n=13) after CS were excluded from final analysis.

Results

The most frequent surgery was single-valve surgery (n=83; 38%), followed by coronary artery bypass graft (n=72; 34%). Postoperative MACE was diagnosed in 31 (14.8%) patients. Biomarker dynamics showed elevated values at 24 h compared with those at ICU admission in patients with MACE versus no-MACE. Multivariate analysis showed that ΔIPF (OR: 1.47; 95% CI: 1.110-1.960; p=0.008) and Δhs-TnT (OR: 1.001; 95% CI: 1.0002-1.001; p=0.008) were independently associated with MACE.

Conclusions

These findings suggest that postoperative ΔIPF and Δhs-TnT may be useful biomarkers for the identification of patients at risk of MACE development.

Left ventricular global longitudinal strain and cardiac surgical outcomes

Global longitudinal strain (GLS) has emerged as a valuable diagnostic and prognostic tool for evaluating left ventricular (LV) function. GLS has been shown to be a more sensitive marker of LV dysfunction than LV ejection fraction alone and have prognostic impact in non-surgical cardiac populations. GLS, is validated, reproducible, and easily obtained from 2-dimensional speckle-tracking echocardiography. While there is strong evidence for using GLS in clinical decision-making in non-surgical populations, there is less summarized evidence on using GLS in the cardiac surgical population. This review combines the evidence on the implications of using baseline transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE) GLS in cardiac surgical populations including ischemic and structural heart disease to determine surgical outcomes. We found that results seem promising on the prognostic utility of LV strain in cardiac surgical populations. However due to the variability of study populations and outcomes, and modalities (TTE versus TEE), further research on normal versus abnormal values for different surgical populations, as well potential treatment options that may modify and potentially decrease surgical risk for those with abnormal GLS are needed.

The Impact of Anesthetic Regimen on Outcomes in Adult Cardiac Surgery: A Narrative Review

Despite improvements in surgical techniques and perioperative care, cardiac surgery still is burdened by relatively high mortality and frequent major postoperative complications, including myocardial dysfunction, pulmonary complications, neurologic injury, and acute kidney injury. Although the surgeon's skills and volume and patient- and procedure-related risk factors play a major role in the success of cardiac surgery, there is growing evidence that also optimizing perioperative care may improve outcomes significantly. The present review focuses on the aspects of perioperative care that are strictly related to the anesthesia regimen, with special reference to volatile anesthetics and neuraxial anesthesia, whose effect on outcome in adult cardiac surgery has been investigated extensively.