Impact of Pre-, Intra-and Post-Operative Parameters on In-Hospital Mortality in Patients Undergoing Emergency Coronary Artery Bypass Grafting: A Scarce Single-Center Experience in Resource-Scare Setting.

BACKGROUND: In-hospital mortality after emergency coronary artery bypass grafting (CABG) remains an important issue that has needed considerable attention in recent years as the mortality rate is still high and prevention factors are not yet optimal. Our study presents the first largest cohort of emergency CABG from one large institution in Vietnam with the primary aim of comparing a large variety of pre-, intra-and post-operative parameters between in-hospital mortality patients and in-hospital survival patients and investigate risk factors of in-hospital mortality in patients undergoing emergency CABG.
METHODS: We conducted a retrospective evaluation of prospectively collected data in patients undergoing emergency CABG at the Hanoi Heart Hospital (Hanoi, Vietnam) from January 1, 2017, to December 31, 2019. Primary outcome variable was in-hospital mortality.
RESULTS: A total of 71 patients were included in final analysis. The mean age of the cohort was 68.68 years (± 9.28, range 38-86). The mean weight, height and body mass index were 54.35 kg (± 9.17, range 37-77), 158.96 (±7.64, range 145-179) and 21.48 kg/m2 (±3.08, range 13.59-30.08), respectively. In-hospital mortality rate was 9.86%. Preoperative risk factors for in-hospital mortality included diabetes, decreased ejection fraction (EF), EF below 30%, cardiogenic shock, elevated systolic pulmonary artery pressure (PAP), elevated NT-ProBNP, and Euroscore II. Without grafting with left internal thoracic artery, and prolonged cardiopulmonary bypass (CPB) time were increased intraoperative factors for in-hospital mortality risk. In-hospital mortality's postoperative risk factors were found to be postextubation respiratory failure requiring mechanical ventilation, ventricular fibrillation, dialysis-requiring acute renal failure, pneumonia, bacterial sepsis, gastrointestinal bleeding, and prolonged mechanical ventilation time. Significant predictors determining in-hospital mortality were known as prolonged CPB time in surgery and postoperative ventricular fibrillation.
CONCLUSION: Our hospital mortality rate after emergency CABG was relatively high. An optimal preventive strategy in emergency CABG management should target significant factors combined with other previously identified risk factors to reduce in-hospital mortality.

Background

Acute coronary syndrome (ACS), known as the most serious consequence of coronary artery disease, can result in long-term disability and mortality. Treatment for ACS patients is, to date, posed to be coronary revascularization. Though the outcomes of emergency coronary artery bypass grafting (CABG) were improved in previous reports, the early mortality still remains highly great (21–52%),1–4 especially within first 48 hours from onset.5

There are no formal research investigation and analysis on the number of performed CABG procedures in Vietnam, this figure still, to the best of our knowledge, increase annually in Vietnam in the past decade. A small proportion of these procedures are performed in emergency situations, most often because of ongoing ischemia, angiographic accidents, multivessel disease but anatomic unsuitability for percutaneous coronary intervention (PCI) and mechanical complications of acute myocardial infarction. Several previous authors form developed countries have reported the risk factors for in-hospital mortality after emergency CABG, but there are still the inconsistencies and inadequacy in input data between the surgical centers.6–8 Importantly, in-hospital mortality after emergency CABG remains an important issue that needs considerable attention in recent years as mortality rate is still high and prevention factors are not yet optimal. A comprehensive understanding of the country-specific risk and prognosis of in-hospital mortality after CABG is crucial to reduce overall emergency-related in-hospital mortality in Vietnam. This study sought to compare a large variety of pre-, intra- and post-operative parameters between in-hospital mortality patients and in-hospital survival patients and investigate risk factors of in-hospital mortality in patients under going emergency CABG.

Methods

Study Design and Patients

Retrospective evaluation of prospectively collected data at the Hanoi Heart Hospital (Hanoi, Vietnam), was conducted. The clinical profile, preoperative characteristics, and medications, intraoperative data, and postoperative outcomes were retrieved from prospective patients' medical records and computerized database. From January 1, 2017, to December 31, 2019, a total of 71 patients underwent an emergency CABG in Hanoi Heart Hospital and were included in this study.

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the Ethics Committee of Hanoi Medical University.

Because this was a retrospective study, individual patient informed consent was waived. Personal information of the subjects was kept confidential and encrypted.

Surgical Procedure

Decision for emergency CABG surgery, was made by a standard heart team of experienced physicians (including 1 cardiologist, 1 interventionist, 1 anesthetist and 1 surgeon), was based on clinical examination (chest pain severity, hemodynamic status), changes in cardiac enzymes (creatine kinase–myocardial band [CK-MB], High-sensitivity cardiac troponin T), changes in an electrocardiogram (ECG), lesion complexity on the coronary angiogram, echocardiography findings (ejection fraction [EF], severity of mitral regurgitation, regurgitation mechanism, left ventricular [LV] diameter, pulmonary artery pressure [PAP], and mechanical complications). Patients undergoing emergency surgery were those who after being indicated until they arrived in the operating room before the next working day (classified on the European System for Cardiac Operative Risk Evaluation [EuroSCORE II] scale9).

Towards surgical preparation for special cases, in case of the hemodynamic instability and or acute pulmonary edema, we conducted endotracheal intubation, central venous line and invasive blood pressure monitoring line during the duration of operating room preparation. Intra-aortic balloon counterpulsation (IABP) and/or extracorporeal membrane oxygenation (ECMO) were performed when the vasopressors increasing cardiac contractility did not stabilize hemodynamics. When patients were preoperatively on antiplatelet agents (clopidogrel and/or ticagrelor), we prepared 4-unit of red blood cell, 1–2- unit of platelet apheresis or 2–4- unit of platelet pool, and 1–2- unit of factor VIII.

Variable Definitions

Outcome Variable

In-hospital mortality or early mortality was defined as “death due to any cause within 30 days of surgery or during hospitalization.”

Preoperative Parameters

General characteristics

Age (years), sex (male/female), height (cm), weight (kg), and body mass index (BMI) (kg/m2).

Medical history and comorbidities

Hypertension, diabetes, lipid disorder, chronic obstructive pulmonary disease (COPD), history of myocardial infarction, history of coronary intervention, history of cerebrovascular accident, and peripheral vascular disease (PVD).

Clinical features

Unstable angina: angina at rest, new angina, increased angina. Non-ST segment elevation myocardial infarction (STEMI): having chest pain, similar to the unstable angina but elevated cardiac enzymes (CK-MB and/or Troponin). STEMI, was according to Universal Definition of Myocardial Infarction Guidelines.10

Coronary lesions in coronary angiography

Significant stenosis in a coronary artery: was detected as >50% stenosis of the left main stem or >70% stenosis in a major coronary vessel.11

Echocardiographic parameters

EF (%), LV dimensions in diastole (mm), systolic PAP (mmHg), the degree of mitral valve regurgitation, aortic valve regurgitation and tricuspid valve regurgitation, mechanism of mitral valve regurgitation (anemia damage or mechanical complications of myocardial infarction), and pericardial fluid.

Platelet agglutination inhibitor

Platelet agglutination inhibitors were used to the time of surgery, including Aspirin, Clopidogrel, and Ticagrelor.

Indications for emergency surgery

Ongoing myocardial infarction but coronary anatomy not suitable for intervention: were cases of that, chest pain increased in intensity and frequency, cardiac enzymes may increase gradually, and diabetes may change in pain although optimal medical treatment (vasodilators, morphine) and coronary angiography were performed.

Accidents of PCI: were that cases undergoing PCI might not be due to acute myocardial infarction. During or after the procedure documented hemodynamic instability, or signs of cardiac tamponade due to pericardial hemorrhage. Coronary angiogram shows the signs of contrast agent drainage out of the coronary artery or the images of large coronary artery stems dissection or acute thrombosis in stent.

Acute myocardial infarction with cardiogenic shock: were that cases with acute myocardial infarction had complex coronary lesions on percutaneous coronary angiography, could not intervene or open the culprit branch but hemodynamics did not improve with optimal medical treatment. Cardiogenic shock was defined as systolic blood pressure of less than 90 mmHg for more than 30 minutes or the need for a catecholamine infusion to maintain systolic blood pressure above 90 mmHg.

Mechanical complications of acute myocardial infarction: were cases of LV free-wall rupture, acute mitral regurgitation due to papillary muscle or chordae rupture, and interventricular septal rupture.

Preoperative severe hemodynamic status

IABP, ECMO, and cardiopulmonary resuscitation (CRP).

The European System for Cardiac Operative Risk Evaluation (EuroSCORE II)

The EuroSCORE II was used to estimate risk of in-hospital death after cardiac surgery.12

Intraoperative Parameters

On pump or off pump. Number of distal anastomosis were calculated by the number of anastomosis performed on coronary arteries. Types of grafts included internal thoracic arteries, radial artery, and saphenous veins. Management of combined lesions during surgery included LV patch, ventricular septal repair, mitral valve repair/replacement, and repair/replacement of other valves. Aortic cross-clamp time (mins). Cardiopulmonary bypass (CPB) time (mins).

Postoperative Parameters

Mechanical ventilation time (hours), mediastinal drainage values in the first 24 hours (mL), postextubation respiratory failure requiring mechanical ventilation, bleeding required re-operated, ECMO for acute heart failure, ventricular fibrillation, new-onset atrial fibrillation, dialysis-requiring acute renal failure, pneumonia, bacterial sepsis, cerebrovascular accident, ischemic stroke, gastrointestinal bleeding, peritonitis, and surgical wound infection.

Data Analysis

All statistical analyses were performed with Stata® 15 (StataCorp LLC, USA). All data was first performed a visual inspection for coding errors, outliers, or funky distributions. We divided outcome study variable into two groups of in-hospital mortality patient group and in-hospital survival patient group. Categorical variables are expressed as frequencies and percentages and were compared by use of the χ2 or Fisher exact test. Continuous variables are expressed as mean±SD and interquartile range (IQR) and compared by Mann–Whitney U-test (not normally distributed) or t-test (normally distributed). We used univariate logistic regression analysis to identify risk factors of early death. Then, in each pre-, intra- and post-operative parameter groups, we selected significant variables of univariate logistic regression models to run as impossible independent risk into multivariate logistic regression models in particular. Hence, a total of 3 models with multivariate logistic regression were reported. Odds ratios with 95% confidence intervals were constructed. Statistically significant independent variables in both univariate and multivariate analysis were more clearly illustrated with the Stata’ function of bar chart and box plot.

Results

Overall, the total number of patients undergoing emergency CABG in our institution increased from 13 patients in 2017 to 39 patients in 2019. Of the total, the proportion of postoperative in-hospital mortality cases significantly decreased from 30.77% in 2017 to 5.13% in 2019 (Figure 1).

Figure 1

Trends in in-mortality survival and in-hospital mortality after emergency CABP.

Preoperative Data Among In-Hospital Mortality Patients and In-Hospital Survival Patients

A total of 71 patients undergoing emergency CABG were included in the analysis. The mean age of the cohort was 68.68 years (± 9.28, range 38–86). The mean weight, height and BMI was 54.35 kg (± 9.17, range 37–77), 158.96 (±7.64, range 145–179) and 21.48 kg/m2 (±3.08, range 13.59–30.08), respectively. The majority were male (n = 47, 66.20%). The most common medical history/comorbidity was hypertension (n = 65, 91.55%) (Table 1).

Table 1

Difference of Preoperative Data Among In-Hospital Mortality Patient Group and In-Hospital Survival Patient Group

Preoperative Variables	All Patients(n = 71)	In-Hospital Mortality		p value
		No (n = 64)	Yes (n = 7)
	Count (% of Total)	Count (% of Total)	Count (% of Total)
Gender				1.000F
Male	47 (66.20)	42 (65.62)	5 (71.43)
Female	24 (33.80)	22 (34.38)	2 (28.57)
Diabetes	24 (33.80)	19 (29.69)	5 (71.43)	0.040F
Hypertension	65 (91.55)	58 (90.62)	7 (100.00)	1.000F
Lipid disorder	28 (39.44)	27 (42.19)	1 (14.29)	0.232F
Smoking	32 (45.07)	29 (45.31)	3 (42.86)	0.031F
COPD	4 (5.63)	4 (6.25)	0 (0.00)	1.000F
History of cerebrovascular accident	6 (8.82)	6 (9.68)	0 (0.00)	1.000F
PVD	16 (22.54)	15 (23.44)	1 (14.29)	1.000F
History of PCI	10 (14.08)	10 (15.62)	0 (0.00)	0.582F
ST segment elevation myocardial infarction	30 (42.25)	25 (39.06)	5 (71.43)	0.125F
ECG results				1.000F
Sinus rhythm	69 (97.18)	62 (96.88)	7 (100.00)
Atrial rhythm	2 (2.82)	2 (3.12)	0 (0.00)
Echocardiography
Local movement disorders	53 (74.65)	46 (71.88)	7 (100.00)	0.179F
Pericardial fluid	6 (8.45)	6 (9.38)	0 (0.00)	1.000F
Ventricular septal perforation	2 (2.82)	2 (3.12)	0 (0.00)	1.000F
Mitral valve regurgitation due to mechanical complications	3 (4.23)	3 (4.69)	0 (0.00)	1.000F
Severe valve regurgitation	22 (30.99)	19 (29.69)	3 (42.86)	0.669F
EF below 30%	11 (15.49)	7 (10.94)	4 (57.14)	0.009F
Coronary lesions in coronary angiography (n = 70)				0.361F
Left main	4 (5.71)	4 (6.35)	0 (0.00)
Three-vessel with left main	33 (47.14)	27 (42.86)	6 (85.71)
Three-vessel without left main	25 (35.71)	24 (38.10)	1 (14.29)
Two-vessel without left main+	1 (1.43)	1 (1.59)	0 (0.00)
One-vessel	7 (10.00)	7 (11.11)	0 (0.00)
Antiplatelet drugs
Aspirin	69 (97.18)	62 (96.88)	7 (100.00)	1.000F
Clopidogrel	55 (77.46)	48 (75.00)	7 (100.00)	0.337F
Ticagrelor	26 (36.62)	24 (37.50)	2 (28.57)	1.000F
Surgical indication				0.002F
Progressive myocardial infarction	41 (57.75)	41 (64.06)	0 (0.00)
Cardiogenic shock	17 (23.94)	12 (18.75)	5 (71.43)
Accidents of cardiovascular intervention*	6 (8.45)	5 (7.81)	1 (14.29)
Mechanic complications of acute myocardial infarction**	7 (9.86)	6 (9.38)	1 (14.29)
	Mean±SD (IQR)	Mean±SD (IQR)	Mean±SD (IQR)
Age (year)	68.68±9.28 (38–86)	68.16±9.37 (38–86)	73.43±7.37 (64–86)	0.1549T
Weight (kg)	54.35±9.17 (37–77)	54.48±9.24 (37–77)	53.14±9.10 (45–70)	0.7161T
Height (cm)	158.96±7.64 (145–179)	158.72±7.55 (145–179)	161.42±8.69 (147–170)	0.4291T
BMI (kg/m2)	21.48±3.08 (13.59–30.08)	21.60±3.10 (13.59–30.08)	20.44±2.87 (16.65–26.03)	0.3498T
Serum creatinine (mmol/L)	98.31±45.19 (50–351)	94.97±43.66 (50–351)	128.86±51.01 (68–226)	0.0265M
EF (%)	47.01±15.97 (20–76)	48.98±15.42 (24–76)	29±7.53 (20–40)	0.0016M
LV dimensions in diastole (mm)	48.58±7.13 (33–67)	48.23±7.11 (33–67)	51.71±7.02 (43–63)	0.2226T
Systolic PAP (mmHg)	32.37±9.66 (20–60)	31.41±9.18 (20–60)	41.14±10.14 (25–53)	0.0153M
Troponin-T (ng/L) (n = 60)	1707.70±3303.72 (12–22159)	1320.17±1922.10 (12–10000)	4641.86±7996.05 (29–221590)	0.3393M
CK-MB (U/L) (n = 53)	88.36±115.32 (6.4–658)	77.98±104.70 (7.9–658)	169.65±168.84 (6.4–387)	0.2861M
NT-ProBNPpg/mL) (n = 45)	4498.92±5850.80 (92–35000)	3424.60±3389.52 (92–12937)	15510.75±13093.04 (6853–35000)	0.0059M
Euroscore II	14.69±13.58 (0.95–53.2)	12.80±1.93 (0.95–53.2)	32.05±16.32 (4.48–49.11)	0.0058M

Notes: *Cases of acute cardiac tamponade due to coronary perforation, 2 cases of coronary artery dissection (1 left main dissection and 1 right coronary artery dissection), 1 case of left main injury when placing a stent in the circumflex artery; **3 cases of left ventricular free-wall rupture, 2 cases of acute mitral regurgitation due to papillary muscle rupture, and 2 cases of interventricular septal rupture; +Circumflex artery and right coronary artery, left anterior descending artery and right coronary artery; Significance level at p < 0.05 was given in bold.

Abbreviations: COPD, chronic obstructive pulmonary disease; PVD, peripheral vascular disease; PCI, percutaneous coronary intervention; BMI, body mass index; PAP, pulmonary artery pressure; EF, ejection fraction; CK-MB, creatine kinase–myocardial band; M, Mann–Whitney U-test; T, t-test; F, Fisher’s exact test.

Seventy out of 71 study patients underwent preoperative coronary angiography because 1 patient with LV free wall rupture did not have timely coronary angiography. Echocardiography revealed local movement disorders in 53 patients (74.65), pericardial fluid in 6 patients (8.45%), and ventricular septal perforation in 2 patients (2.82%) (Table 1).

STEMI was seen in 30 patients (42.25%). Sixty-nine patients (97.18%) with sinus rhythm were on the ECG, while 2 patients (2.82%) had atrial rhythm. The mean EF was 47.01% (±15.97, range 33–67) and 11 patients (15.49%) had EF below 30%. The mean LV dimensions in diastole was 48.58 mm (±7.13, range 33–67). The mean systolic PAP was 32.37 mmHg (±9.66, range 20–60) (Table 1).

Cardiac enzymes recorded the mean troponin T of 1707.70 ng/L (±3303.72, range 12–22159), the mean CK-MB of 88.36 U/L (±115.32, range 6.4–658) and the mean NT-ProBNP of 4498.92 pg/mL (±5850.80, range 92–35000). The mean serum creatinine before surgery was 98.31 mmol/L (±45.19, range 50–351). The mean Euroscore II was 14.69 (±13.58, range 0.95–53.2) and in-hospital mortality patient group had significantly higher mean Euroscore II compared to in-hospital survival patient group (32.05±16.32 vs. 12.80±1.93). In study cohort, the most indications for emergency surgery were ongoing myocardial infarction (n = 41, 57.75%) and cardiogenic shock (n = 17, 23.94%) (Table 1).

Significant differences were observed in preoperative variables of diabetes (p = 0.04), smoking (p = 0.031), EF below 30% (p = 0.009), mean EF value (p=0.016), surgical indication (p = 0.002), serum creatinine (mmol/L) (p = 0.026), systolic PAP (p = 0.015), mean NT-proBNP (ng/L) (p = 0.0059), and Euroscore II (p = 0.0058) (Table 1).

Intraoperative Data Among In-Hospital Mortality Patients and In-Hospital Survival Patients

Intraoperative data amongst two groups was shown in Table 2. Seventy our of 71 patients underwent surgery with CPB, and of these, only 2 patients did not suffer cardiac arrest. No patients must be placed on CMO in surgery. Thirty patients (42.25%) underwent 4 distal anastomosis on coronary arteries, following by 3 distal anastomosis (n = 19, 26.76%), 2 distal anastomosis (n = 12, 16.90%) and 1 distal anastomosis (n = 8, 11.27%). Management of combined lesions during surgery was performed in 17 patients (23.94%). The mean aortic cross-clamping time in 68 patients and the mean CPB time in 70 patients were 72.24 minutes (±26.41, range 30–167) and 101.31 minutes (±37.30, range 40–264), respectively.

Table 2

Difference of Intraoperative Data Among In-Hospital Mortality Patient Group and In-Hospital Survival Patient Group

Intraoperative Variables	All Patients(n = 71)	In-Hospital Mortality		p value
		No (n = 64)	Yes (n = 7)
	Count (% of Total)	Count (% of Total)	Count (% of Total)
CPB	70 (98.59)	63 (98.44)	7 (100.00)	1.000F
Left internal thoracic artery	55 (77.46)	52 (81.25)	3 (42.86)	0.041F
Saphenous veins	68 (95.77)	61 (95.31)	7 (100.00)	1.000F
Radial artery	5 (7.04)	5 (7.81)	0 (0.00)	1.000F
Number of distal anastomosis				0.281F
1	8 (11.27)	7 (10.94)	1 (14.29)
2	12 (16.90)	12 (18.75)	0 (0.00)
3	19 (26.76)	17 (26.56)	2 (28.57)
4	30 (42.25)	27 (42.19)	3 (42.86)
5	2 (2.82)	1 (1.56)	1 (14.29)
Number of radialartery (n = 70)				0.100F
0	65 (92.86)	58 (92.06)	7 (100.00)
1	3 (4.29)	3 (4.76)	0 (0.00)
2	2 (2.86)	2 (3.17)	0 (0.00)
Number ofsaphenous veins				0.010F
0	3 (4.23)	3 (4.69)	0 (0.00)
1	16 (22.54)	15 (23.44)	1 (14.29)
2	23 (32.39)	22 (34.38)	1 (14.29)
3	25 (35.21)	23 (35.94)	2 (28.57)
4	4 (5.63)	1 (1.56)	3 (42.86)
Management of combined lesions during surgery	17 (23.94)	15 (23.44)	2 (28.57)	0.670F
Aortic cross-clamping	68 (95.77)	61 (95.31)	7 (100,00)	0.100F
	Mean±SD (IQR)	Mean±SD (IQR)	Mean±SD (IQR)
Aortic cross-clamping time (mins) (n = 68)	72.24±26.41 (30–167)	70.10±24.49 (30–152)	90.86±36.56 (63–167)	0.0861M
Cardiopulmonary bypass time (mins) (n = 70)	101.31±37.30 (40–264)	96.67±31.44 (40–200)	143.14±59.27 (90–264)	0.0100M

Note: Significance level at p < 0.05 was given in bold.

Abbreviations: CPB, cardiopulmonary bypass; M, Mann–Whitney U-test; F, Fisher’s exact test.

In the intraoperative characteristics, significant differences between in-hospital mortality patients and in-hospital survival patients were indicated among internal thoracic artery (p = 0.041), the number of saphenous veins (p = 0.010), and CPB time (p = 0.010) (Table 2).

Postoperative Data Among In-Hospital Mortality Patients and In-Hospital Survival Patients

As was revealed in Table 3, pneumonia (n = 17, 23.94%) was the most common in-hospital complications after surgery, while another complications were documented as dialysis-requiring acute renal failure in 9 patients (12.68%), ventricular fibrillation in 8 patients (11.27%), postextubation respiratory failure requiring mechanical ventilation in 7 patients (9.86%), re-operation for bleeding in 7 patients (9.86%), cerebrovascular accidents in 7 patients (9.86%), surgical wound infection in 7 patients (9.86%), bacterial sepsis in 4 patients (5.63%), ischemic stroke in 4 patients (5.63%), gastrointestinal bleeding in 3 patients (4.23%), new-onset atrial fibrillation in 2 patients (2.82%), ECMO for acute heart failure in 1 patient (1.41%), and peritonitis in 1 patient (1.41%).

Table 3

Difference of Postoperative Data Among In-Hospital Mortality Group and In-Hospital Survival Group

Postoperative Variables	All Patients(n = 71)	In-Hospital Mortality		p value
		No (n = 64)	Yes (n = 7)
	Count (% of Total)	Count (% of Total)	Count (% of Total)
Postextubation respiratory failure requiring mechanical ventilation	7 (9.86)	4 (6.25)	3 (42.86)	0.018F
Reoperation for bleeding	7 (9.86)	5 (7.81)	2 (28.57)	0.138F
IABP	5 (7.04)	1 (1.56)	4 (57.14)	0.000F
ECMO for acute heart failure	1 (1.41)	0 (0.00)	1 (14.29)	0.099F
Ventricular fibrillation	8 (11.27)	4 (6.25)	4 (57.14)	0.002F
New-onset atrial fibrillation	2 (2.82)	1 (1.56)	1 (14.29)	0.189F
Dialysis-requiring acute renal failure	9 (12.68)	4 (6.25)	5 (71.43)	0.000F
Pneumonia	17 (23.94)	12 (18.75)	5 (71.43)	0.007F
Bacterial sepsis	4 (5.63)	1 (1.56)	3 (42.86)	0.002F
Cerebrovascular accident	7 (9.86)	7 (10.94)	0 (0.00)	1.000F
Ischemic stroke	4 (5.63)	4 (6.25)	0 (0.00)	1.000F
Gastrointestinal bleeding	3 (4.23)	1 (1.56)	2 (28.57)	0.024F
Peritonitis	1 (1.41)	1 (1.56)	0 (0.00)	1.000F
Surgical wound infection	7 (9.86)	7 (10.94)	0 (0.00)	1.000F
	Mean±SD (IQR)	Mean±SD (IQR)	Mean±SD (IQR)
Mechanical ventilation time (hours)	4.44±5.44 (1–32)	3.58±4.38 (1–32)	12.29±8.01 (4–26)	0.0003M
24-hour post-operative mediastinal drainage value (mL)	452.82±420.59 (60–1930)	425.70±404.70 (60–1930)	700.71±514.28 (195–1700)	0.0791M

Note: Significance level at p < 0.05 was given in bold.

Abbreviations: IABP, Intra-aortic balloon counterpulsation; ECMO, extracorporeal membrane oxygenation; M, Mann–Whitney U-test; F, Fisher’s exact test.

Significant differences between two patient groups were observed in postextubation respiratory failure requiring mechanical ventilation (p = 0.018), IABP (p = 0.000), ventricular fibrillation (p = 0.002), dialysis-requiring acute renal failure (p=0.000), pneumonia (p = 0.007), bacterial sepsis (p = 0.002), gastrointestinal bleeding (p = 0.024), mechanical ventilation time (p = 0.0003).

Preoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG

In univariate logistic regression analysis, preoperative risk factors that were significantly associated with in-hospital mortality included diabetes in treatment (OR: 5.92, 95% CI: 1.05–33.24), decreased EF (OR: 0.87, 95% CI: 0.77–0.97), EF below 30% (OR: 10.86, 95% CI: 2.00–58.86), cardiogenic shock (OR: 10.83, 95% CI: 1.87–62.71), elevated systolic PAP (OR: 1.10, 95% CI: 1.01–1.19), elevated NT-ProBNP (OR: 1.0004, 95% CI: 1.00002–1.0008), and Euroscore II (OR: 1.08, 95% CI: 1.03–1.14). However, 5 selected risk factors in multivariate logistic regression model were not significantly independently associated with in-hospital mortality (p >0.05) (Table 4).

Table 4

Preoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG: Univariate and Multivariable Regression Analysis

Preoperative Factors	In-Hospital Mortality
	Univariate Logistic Regression		Multivariate Logistic Regression
	OR	95% CI	OR	95% CI
Age	1.08	0.97–1.19
BMI	0.88	0.67–1.15
Gender
Male	REF
Female	0.76	0.14–4.26
DiabetesA
No	REF		REF
Yes	5.92	1.05–33.24*	6.06	0.53–69.23
Hypertension
No	REF
Yes	-	-
Lipid disorder
No	REF
Yes	0.23	0.03–2.01
Smoking
No	REF
Yes	0.91	0.19–4.38
COPD
No	REF
Yes	-	-
History of cerebrovascular accident
No	REF
Yes	-	-
PVD
No	REF
Yes	0.54	0.06–4.88
History of PCI
No	REF
Yes	-	-
ST segment elevation myocardial infarction
No	REF
Yes	3.90	0.70–21.67
Local movement disorders
No	REF
Yes	-	-
Pericardial fluid
No	REF
Yes	-	-
Ventricular septal perforation
No	REF
Yes	-	-
Mitral valve regurgitation due to mechanical complications
No	REF
Yes	-	-
Severe valve regurgitation
No	REF
Yes	1.78	0.36–8.71
EFA	0.87	0.77–0.97*	0.87	0.73–1.03
EF <30%
No	REF
Yes	10.86	2.00–58.86**
LV dimensions in diastole	1.07	0.96–1.20
ECG results
Sinus rhythm	REF
Atrial rhythm	-	-
Antiplatelet drugs
Aspirin
No	REF
Yes	-	-
Clopidogrel
No	REF
Yes	-	-
Ticagrelor
No	REF
Yes	0.67	0.12–3.71
Cardiogenic shockA
No	REF		REF
Yes	10.83	1.87–62.71**	1.49	0.73–1.03
Accidents of PCI
No	REF
Yes	1.97	0.20–19.72
Serum creatinine	1.01	0.99–1.02
Systolic PAPA	1.10	1.01–1.19*	1.01	0.90–1.13
Troponin-T	1.002	0.99–1.00
CK-MB	1.005	0.99–1.01
NT-ProBNP	1.0004	1.00002–1.0008*
Euroscore IIA	1.08	1.03–1.14**	1.02	0.94–1.10

Notes: *, **Significant at 0.05 and 0.01; ASignificant variables of univariate logistic regression models selected in multivariate logistic regression model.

Abbreviations: COPD, chronic obstructive pulmonary disease; PVD, peripheral vascular disease; PCI, percutaneous coronary intervention; BMI, body mass index; PAP, pulmonary artery pressure; EF, ejection fraction; OR, odd ratio; 95% CI, 95% confidence interval.

Intraoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG

Intraoperative risk factors for in-hospital mortality was shown in Table 5. Univariate logistic regression analysis indicated without grafting with left internal thoracic artery (OR: 0.17, 95% CI: 0.03–0.88), prolonged CPB time (OR: 1.03, 95% CI: 1.01–1.05). In the model of multivariate logistic regression analysis including 3 selected intraoperative risk factors, prolonged CPB time was found to be a significantly independent predictor for in-hospital mortality (OR: 38.87, 95% CI:4.63–325.96). Figure 2 clearly illustrates significant differences of CPB time among in-hospital mortality patient group and in-hospital survival patient group.

Table 5

Intraoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG: Univariate and Multivariable Regression Analysis

Intraoperative Factors	In-Hospital Mortality
	Univariate Logistic Regression		Multivariate Logistic Regression
	OR	95% CI	OR	95% CI
CPB
No	REF
Yes	-	-
Left internal thoracic arteryA
No	REF		REF
Yes	0.17	0.03–0.88*	0.51	0.06–4.39
Saphenous veins
No	REF
Yes	-	-
Radial artery
No	REF
Yes	-	-
Number of distal anastomosis
1	REF
2	-	-
3	0.82	0.06–10.62
4	0.77	0.07–8.67
5	7.00	0.22–226.00
Number of radial artery
0	REF
1	-	-
2	-	-
Management of combined lesions during surgery
No	REF
Yes	1.31	0.23–7.44
Aortic cross-clamping
No	REF
Yes	-	-
Aortic cross-clamping time	1.02	0.99–1.05
Cardiopulmonary bypass timeA	1.03	1.01–1.05*	38.87	4.63–325.96**

Notes: *, **Significant at 0.05 and 0.01; ASignificant variables of univariate logistic regression models selected in multivariate logistic regression model.

Abbreviations: CPB, cardiopulmonary bypass; OR, odd ratio; 95% CI, 95% confidence interval.

Figure 2

The measurement of cardiopulmonary bypass time among in-hospital mortality patient group and in-hospital survival patient group.

Postoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG

As was shown in Table 6, postextubation respiratory failure requiring mechanical ventilation (OR: 11.25, 95% CI: 1.85–68.54), ventricular fibrillation (OR: 20.00, 95% CI: 3.28–121.84), dialysis-requiring acute renal failure (OR: 37.5, 95% CI: 5.46–257.59), pneumonia (OR: 10.83, 95% CI: 1.87–62.71), bacterial sepsis (OR: 47.25, 95% CI: 3.96–563.42), gastrointestinal bleeding (OR: 25.20, 95% CI: 1.93–328.39), and prolonged mechanical ventilation time (OR: 1.20, 95% CI: 1.05–1.37) were significantly increased risk factors for in-hospital mortality in univariate logistic regression analysis. In the model 1 of multivariate logistic regression analysis including 7 selected postoperative risk factors (excluding the variable IABP), ventricular fibrillation was significant predictor for in-hospital mortality (OR: 51.95, 95% CI: 1.75–1546.01) (Model 1: Pseudo R2 = 0.6299). The association of postoperative ventricular fibrillation with in-hospital mortality was clearly illustrated in Figure 3. However, no significant association was found in model 2 of multivariate logistic regression analysis that was included the variable IABP (Model 2: Pseudo R2 = 0.6880).

Table 6

Postoperative Risk Factors of In-Hospital Mortality in Patients Undergoing Emergency CABG: Univariate and Multivariable Regression Analysis

Postoperative Factors	In-Hospital Mortality
	Univariate Logistic Regression		Multivariate Logistic Regression(Model 1)		Multivariate Logistic Regression(Model 2)
	OR	95% CI	OR	95% CI	OR	95% CI
Postextubation respiratory failure requiring mechanical ventilationA
No	REF		REF		REF
Yes	11.25	1.85–68.54**	2.12	0.01–315.26	21.06	0.04–11344.01
Reoperation for bleeding
No	REF
Yes	4.72	0.72–30.83
IABP
No	REF				REF
Yes	84.00	7.04–1001.62***			4132.07	0.0001–1.68e+11
ECMO for acute heart failure
No	REF
Yes	-	-
Ventricular fibrillationA
No	REF		REF		REF
Yes	20.00	3.28–121.84**	51.95	1.75–1546.01*	25.73	0.13–5195.26
New-onset atrial fibrillation
No	REF
Yes	10.5	0.58–189.98
Dialysis-requiring acute renal failureA
No	REF		REF		REF
Yes	37.5	5.46–257.59***	23.21	0.39–1368.4	1.23	1.52e-06–997577.30
PneumoniaA
No	REF		REF		REF
Yes	10.83	1.87–62.71**	0.41	0.002–69.90	0.40	1.01e-08–1.61e+07
Bacterial sepsisA
No	REF		REF		REF
Yes	47.25	3.96–563.42**	222.87	0.54–92031.44	2864.08	0.0001–6.55e+10
Cerebrovascular accident
No	REF
Yes	-	-
Ischemic stroke
No	REF
Yes	-	-
Gastrointestinal bleedingA
No	REF		REF		REF
Yes	25.20	1.93–328.39*	66.34	0.66–6690.93	22467.70	0.0001–6.51e+12
Peritonitis
No	REF
Yes	-	-
Surgical wound infection
No	REF
Yes	-	-
Mechanical ventilation timeA	1.20	1.05–1.37**	0.83	(0.61–1.13)	0.54	0.18–1.63
24-hour post-operative mediastinal drainage value	1.001	0.999–1.002

Notes: *, **, ***Significant at 0.05, 0.01 and 0.001; ASignificant variables of univariate logistic regression models selected in multivariate logistic regression models (Model 1: not included the variable “IABP”; Model 2: included the variable “IABP”).

Abbreviations: IABP, intra-aortic balloon counterpulsation; ECMO, extracorporeal membrane oxygenation.

Figure 3

The incidence of in-hospital mortality in postoperative ventricular fibrillation group and without postoperative ventricular fibrillation.

Discussion

Our study presents the first largest cohort of emergency CABG patients from one large institution in Vietnam. Our hospital mortality rate was 9.86%, with 3 deaths due to severe heart failure, and 4 further patients dying from non-cardiovascular causes (3 those in gastrointestinal bleeding and 1 those in septic shock due to bacterial sepsis). The in-hospital mortality rate in our study belongs to the group below 10%. Comparing with the EuroSCORE II of 14.7%, the mortality rate in our study was lower than forecast. In a retrospective, single-center study of outcomes in 57 patients who underwent emergency CABG, in-hospital mortality rate of 12.2% was reported by Christiansen and Autschbach,13 compared with our rate of 9.86%. In a similar study, Sezai et al14 reported an 11.4% mortality rate for patients after emergency CABG for acute myocardial infarction. However, our in-hospital mortality rate was consistent with a 10-year retrospective cohort of Schumer et al15 (8.7%) and a 10-year multicenter, retrospective study of Biancari et al16 (8.7%). In the studies examining immediate surgical coronary revascularization for acute myocardial infarction, Khaladj et al17 showed a 30-day mortality rate of 6%, slightly lower than ours, while, in another study, Sezai et al14 reported an 11.4% mortality rate for patients after emergency CABG for acute myocardial infarction. Khaladj and Sezai’s cohorts included the patients presenting with acute myocardial infarction, while we analyzed the whole patients undergoing emergency CABG including the group with mechanical complications of acute myocardial infarction that was known with higher death risk. This may be main difference amongst our cohort and Khaladj’ and Sezai’. Despite early mortality rate variations, these studies indicate that mortality rates remain high after emergency CABG and may be greatly dependent on comorbidities and indications for revascularization.

Interestingly, we found the comorbidity of diabetes was known to a risk factor for in-hospital mortality after emergency CABG in univariate analysis, but not being significant in multivariate model. Based on Cox proportional hazards model, Axelsson et al showed that diabetes was a risk factor for poor overall survival with a HR of 1.74.18 However, the risk of diabetes was non-significant for in-hospital mortality in Axelsson’s report.18 Previous studies have shown that patients with diabetes have an increased risk for long-term mortality after emergency CABG, with an even higher risk if other comorbidities such as extracardiac arteriopathy or renal disease are also present. There is a debate in the literature whether diabetes is an independent risk factor for operative mortality after CABG.19,20

One of the main findings of this study was that preoperative EF is a statistically significant risk factor for higher rates of early mortality after CABG, which was consistent with previous evidence.21,22 Patients with a low EF had a worse survival than did patients whose EF was within normal limits. Revascularization in patients with a low EF has been reported by several authors to be superior to medical therapy. Although CABG enables longer survival and a better quality of life than medical therapy, the postsurgical outcomes of patients with a low EF have been shown to be considerably worse than those in patients with a higher EF.23,24

In our study, most patients underwent surgery with CPB (70 out of 71). One patient who did not undergo CPB had right coronary artery dissection after intervention, so we performed one bypass to the right coronary artery by the saphenous vein. There were 2 cases of running CPB but no cardiac arrest. These are 2 patients with acute myocardial infarction with cardiogenic shock due to left anterior descending artery. We initially expected not to use CPB, however, stable hemodynamics was not maintained with the drug. We therefore decided to perform CPB but not cardiac arrest. Importantly, according our current analysis, prolonged CPB time was found to be significantly intraoperative predictor for increasing in-hospital mortality after emergency CABG. This finding was reasonable for our cohort when more prolonged CPB time indicated more complicated surgery, or required more techniques, or very severe heart failure requiring longer-term support.

Postoperative ventricular fibrillation was significantly predictor for in-hospital mortality. Those suffered from ventricular fibrillation after emergency CABG had 51.95 times higher risk of in-hospital mortality compared to those without. Postoperative ventricular fibrillation in our patients indicates severe postoperative heart failure. Other main explanations need to be clearly acknowledged, which may influence the early mortality in patients with postoperative ventricular fibrillation, were the inadequate of equipment after surgery such as ECMO and IABP, along with the payment difficulties of patients and their families. According to our understanding, this may be the first analysis to indicate this association.

A number of limitations should be acknowledged. First, like most similar reports, our study was based on the retrospective evaluation of patient charts and being single-center results. Second, the study had relatively small sample size of patients and some parameters still could not be adequately measured. Third, importantly, with the recent few years’ progress in cardiothoracic surgery, the 3-year time period from which the patients in this study were recruited may also introduce a time factor error. Certainly, more large number of patients in many-year cohort from should be required in further studies from developing countries like Vietnam. Our group recommend caution in interpreting the results of the comparison with the general population because the annual number of patients undergoing CABG in Vietnam is unclear. Because of the scope of the study objective, the medium- and long-term outcomes will be reported by the authors in a follow-up study.

Conclusions

The in-hospital mortality rate was 9.86%. Preoperative risk factors for in-hospital mortality included diabetes, decreased EF, EF below 30%, cardiogenic shock, elevated systolic PAP, elevated NT-ProBNP, and Euroscore II. Without using internal thoracic artery, and prolonged CPB time were increased intraoperative factors for in-hospital mortality risk. In-hospital mortality’ postoperative risk factors were found to be postextubation respiratory failure requiring mechanical ventilation, ventricular fibrillation, dialysis-requiring acute renal failure, pneumonia, bacterial sepsis, gastrointestinal bleeding, and prolonged mechanical ventilation time. Significant predictors determining in-hospital mortality were known as prolonged CPB time in surgery and postoperative ventricular fibrillation.