- Academic Editor
Background: The visceral-adiposity-tissue index (VATI) and the
triglyceride-glucose (TyG) index were found to be correlated with an increased
risk of cardiovascular events. However, data concerning the association between
the visceral adiposity/TyG indexes and the complication of new-onset
postoperative atrial fibrillation (POAF), especially in patients who had just
undergone off-pump coronary artery bypass grafting (OPCABG), are rare. We
explored the predictive value of the computed-tomography-based VATI and the TyG
index on new-onset POAF after OPCABG. Methods: This study used
longitudinal data from the cohort of 542 participants who underwent OPCABG in
Beijing Anzhen Hospital since June 2017. The predictive relevance of the VATI and
TyG index were evaluated through Cox proportional hazards models and receiver
operating characteristic (ROC) curves. The dose‒response relationship of the VATI
and TyG index with new-onset POAF was analyzed by multiple-adjusted spline
regression models, and sensitivity analysis was used to explore the stability of
our findings. Results: The analysis found that the highest tertile of
VATI [hazard ratio (HR) 2.58, 95% confidence interval (CI) 1.12–3.45; p = 0.01] and TyG index (HR 2.88, 95% CI 1.76–4.71; p = 0.01) were
significantly associated with new-onset POAF compared to the lowest tertile after
full adjustment for age, sex, body mass index, c-reactive protein levels,
diabetes, emergency operation, New York Heart Association (NYHA) III–IV, and left
atrial diameter. The area under the ROC curve (AUC) was 0.897 (p
Off-pump coronary artery bypass grafting (OPCABG) is a major treatment approach for complicated and advanced coronary artery disease [1, 2]. OPCABG avoids the negative influence of cardioplegia on the myocardium tissue, ischemia-reperfusion damage, and systemic inflammatory response from on-pump coronary artery bypass grafting (CABG) [3]. Despite its value, there is a high risk of postoperative cardiac and noncardiac complications resulting from OPCABG [3, 4, 5]. The most frequently observed cardiac dysrhythmia in these patients is new-onset postoperative atrial fibrillation (POAF) [6, 7]. POAF carries an incidence rate of 10–40% and a peak onset at two days [4, 8]. This remains a significant challenge when considering increased hospital stays and health care costs, and most notably an increased morbidity rate [9]. Despite progress in medical and surgical treatments, the overall incidence of new-onset POAF has not significantly improved [10]. Therefore, it is a clinical imperative to identify patients who are at risk for new-onset POAF early during the perioperative period as this ensures adequate precautions and optimization of clinical outcomes.
A growing number of studies indicate that excess visceral adiposity, which promotes delivery of high doses of adipokines to the heart tissues, results in atrial inflammation and myocardial lipidosis [11]. These events are associated with an increased risk of cardiovascular disease (CVD) and mortality [12, 13, 14]. Previous studies have demonstrated that insulin resistance (IR), which leads to abnormal lipid deposition and proinflammatory states, plays a key role in individuals with cardio-metabolic disorders [15]. Nevertheless, clinical evidence regarding the association between visceral adiposity/IR and the complication of POAF after OPCABG has not yet been clearly established.
The regional distribution of visceral adiposity can be accurately quantified by computed tomography (CT) imaging, which is considered to be the gold standard for measuring visceral adiposity and is termed the CT-based visceral adipose tissue index (VATI) [16]. The triglyceride-glucose (TyG) index, which has been proposed as the common test for IR assessment, can evaluate the severity of IR by measuring the triglyceride and fasting plasma-glucose levels [17, 18], and is associated with CVD [19, 20]. Accordingly, CT-based VATI and the TyG index may be valuable indicators for new-onset POAF, and the present study was designed to investigate the association of the CT-based VATI and TyG index with the incidence of new-onset atrial fibrillation after OPCABG.
This protocol was approved by the ethics committee of Beijing Anzhen Hospital (No. 2018101X) and was drafted in accordance with the Declaration of Helsinki. Although CT-based VATI is the gold standard method to measure the level of visceral adipose tissue, the more convenient indices of visceral adiposity, the visceral adiposity index (VAI), was also calculated using waist circumference (WC), body mass index (BMI), triglycerides and high-density lipoprotein cholesterol (HDL-C) [21]. VAI measurements were also included in this study to further validate clinical evidence. From June 2017 to July 2022, all patients who received isolated CABG at the Beijing Anzhen Hospital were enrolled in this retrospective study, and the study sample was also drawn from one ongoing randomly selected longitudinal study (NCT03729531) which enrolls patients who underwent OPCABG to evaluate the effect of a no-touch saphenous vein harvesting technique with treatment details that have been previously reported previously [22]. There were 569 patients from the above longitudinal cohort, and 708 additional consecutive CABG patients, enrolled in this study resulting in a total of 1277 initial patients who underwent isolated CABG at Beijing Anzhen Hospital enrolled in this study. However, among these patients, 735 patients were excluded. Exclusion criteria included: (1) Patients receiving on-pump CABG. (2) Patients who had a history of atrial fibrillation. (3) Patients repeated CABG. (4) Patients who lacked data necessary to calculate VATI and TyG indices. Following these efforts, 542 patients that from the ongoing longitudinal cohort were deemed eligible for the present study and were divided into three groups depending on VATI, TyG index, and VAI tertiles (Fig. 1). Perioperative clinical data and blood biochemical indicators were collected from the electronic medical database system. The data of VAI and TyG were collected within 3 days prior to surgery, and CT-based VATI was obtained from CT imaging conducted during hospitalization prior to surgery.
Study flow chart. CABG, coronary artery bypass graft; VATI, visceral adiposity tissue index; TyG, triglyceride glucose index; VAI, visceral adiposity index.
Cross-sectional CT images in DICOM format were obtained from the picture
archives and communication system within the Department of Radiology. Visceral
adipose tissue area was measured using Hounsfield unit thresholds of –150 to –50
and quantified automatically using SliceOmatic (V5.0, Tomovision, Magog, Canada)
software with highlighting in yellow [21] (Fig. 2). CT-based visceral adipose
tissue index was defined as the cross-section of the mid-third lumbar vertebrae
visceral adipose tissue area normalized for height squared (VATI,
cm
Computed tomograph scan shows the body composition of individuals with visceral obesity. (A) represents patients with visceral obesity, (B) represents patients without visceral obesity. Visceral adipose tissue area is highlighted in yellow.
Surgical mortality was defined as death within 30 days, or within the same
hospitalization period after the surgery. Prolonged ventilator support for more
than 48 h, or pneumonia, was considered a respiratory complication. The need for
continuous renal replacement therapy was defined as renal dysfunction. Stroke was
defined as a focal neurological symptom with rapid onset, lasting at least 24 h.
Myocardial infarction (MI) associated with CABG was defined as a creatine
kinase-MB measurement
The surgical approach used at our center for off-pump CABG was to perform a median full sternotomy followed by saphenous vein, internal mammary artery, or radial artery grafting at the lesion vessels sequentially, or separately. The quality of anastomosis was routinely assessed using a transit-time flow probe (Medistim Butterfly Flowmeter, Oslo, Norway), and if the measured pulsatility index was ˂5, re-anastomosis was performed. After surgery, patients were transferred to the intensive care unit, and electrocardiographic monitoring was used to obtain daily recordings. In addition, continuous wireless rhythm monitoring, or ECG monitoring, was performed on patients who were transferred from the intensive care unit. Intravenous beta-blockers were used primarily in patients who developed new-onset POAF, and for nonresponsive patients treated with intravenous amiodarone. If a patient had been in an unstable hemodynamic status, or in POAF for more than 48 h, electrical cardioversion was performed after exclusion of the left atrial thrombus. Aspirin, clopidogrel, statins, nitrates, and bridging low-molecular-weight heparin were routinely administered during the postoperative period.
Continuous variables are represented as the mean with standard deviation (SD),
and non-normally distributed continuous data are expressed as the median with
interquartile ranges. The Kolmogorov-Smirnov test was used for evaluation of
distribution normality. A one-way analysis of variance (ANOVA) or a
Kruskal-Wallis test was performed to analyze the differences in continuous
variables between groups, depending on the distribution. Categorical variables
were expressed as frequencies and proportions and were compared using Pearson’s
chi-square test or Fisher’s exact probability test. The baseline characteristics
and clinical outcomes of the study sample were described by tertiles of the VAI,
the VATI, and the TyG index. The Cochran-Armitage trend
Table 1 provides the baseline characteristics of the study population according
to different index tertiles. A total of 542 patients were included in the final
analysis and the average age of the study population was 62.1
Characteristic | Visceral Adiposity Index Tertiles | VATI Tertiles | TyG Index Tertiles | ||||||||||
VAI 1 ( |
VAI 2 (1.15–1.66) (n = 184) | VAI 3 ( |
p | VATI 1 ( |
VATI 2 (39.72–49.84) (n = 182) | VATI 3 ( |
p | TyG 1 ( |
TyG 2 (8.45–8.80) (n = 185) | TyG 3 ( |
p | ||
Baseline clinical profile | |||||||||||||
Age (years) | 63.2 |
62.1 |
61.1 |
0.06 | 62.1 |
62.4 |
61.9 |
0.84 | 62.4 |
62.1 |
61.9 |
0.84 | |
Male [% (n)] | 77.5 (141) | 70.9 (129) | 70.2 (125) | 0.23 | 79.4 (143) | 73.6 (134) | 65.6 (118) | 0.01 | 76.2 (138) | 70.8 (131) | 71.6 (126) | 0.45 | |
Height (cm) | 168.3 |
167.1 |
166.4 |
0.05 | 170.3 |
167.4 |
164.2 |
0.01 | 168.4 |
166.7 |
166.8 |
0.04 | |
BMI (kg/m |
25.7 |
26.2 |
26.7 |
0.01 | 23.8 |
26.3 |
28.4 |
0.01 | 25.4 |
26.1 |
27.1 |
0.01 | |
Hypertension [% (n)] | 56.6 (103) | 57.1 (104) | 57.3 (102) | 0.99 | 54.4 (98) | 50.5 (92) | 66.1 (119) | 0.01 | 54.1 (98) | 60.5 (112) | 56.3 (99) | 0.45 | |
Diabetes [% (n)] | 35.6 (42) | 46.0 (64) | 39.4 (61) | 0.21 | 35.2 (37) | 41.2 (56) | 43.3 (74) | 0.41 | 36.3 (45) | 48.1 (63) | 37.6 (59) | 0.10 | |
History of smoking [% (n)] | 40.0 (72) | 45.8 (82) | 48.0 (83) | 0.34 | 46.6 (82) | 38.7 (70) | 48.6 (87) | 0.22 | 45.6 (82) | 41.7 (75) | 46.6 (82) | 0.91 | |
COPD [% (n)] | 0 (0) | 0 (0) | 1.1 (2) | 0.79 | 0.6 (1) | 0 (0) | 0.6 (1) | 0.60 | 0.6 (1) | 0 (0) | 0.6 (1) | 0.59 | |
History of PCI [% (n)] | 5.5 (10) | 4.9 (9) | 6.7 (12) | 0.75 | 4.4 (8) | 8.2 (15) | 4.4 (8) | 0.19 | 6.6 (12) | 4.9 (9) | 5.7 (10) | 0.76 | |
History of stroke [% (n)] | 11.0 (20) | 12.1 (22) | 14.0 (25) | 0.67 | 15.0 (27) | 12.6 (23) | 9.4 (17) | 0.27 | 11.6 (21) | 15.7 (29) | 9.7 (17) | 0.21 | |
History of hyperlipemia [% (n)] | 29.1 (53) | 26.4 (48) | 28.7 (51) | 0.82 | 28.9 (52) | 29.6 (54) | 25.5 (46) | 0.38 | 24.4 (43) | 29.2 (54) | 30.4 (55) | 0.42 | |
History of Chronic heart failure [% (n)] | 8.3 (15) | 6.7 (12) | 9.0 (16) | 0.69 | 5.1 (9) | 7.2 (13) | 11.7 (21) | 0.06 | 5.6 (10) | 9.3 (17) | 9.1 (16) | 0.34 | |
NYHA III–IV [% (n)] | 33.5 (61) | 33.5 (61) | 29.2 (52) | 0.56 | 40.0 (72) | 26.9 (49) | 29.5 (53) | 0.17 | 33.7 (61) | 34.1 (63) | 28.4 (50) | 0.45 | |
Emergency operation [% (n)] | 2.2 (4) | 2.7 (5) | 1.7 (3) | 0.79 | 2.2 (4) | 2.7 (5) | 1.7 (3) | 0.78 | 3.3 (6) | 2.2 (4) | 1.1 (2) | 0.37 | |
Baseline SBP (mmHg) | 136.8 |
137.3 |
137.1 |
0.91 | 136.1 |
137.5 |
138.2 |
0.82 | 136.5 |
136.8 |
137.5 |
0.86 | |
Baseline DBP (mmHg) | 71.9 |
71.1 |
71.5 |
0.73 | 71.1 |
71.1 |
71.1 |
0.81 | 71.1 |
71.1 |
71.1 |
0.71 | |
Creatinine (umol/L) | 73.5 |
73.9 |
75.8 |
0.69 | 75.0 |
77.1 |
71.1 |
0.12 | 74.4 |
73.4 |
75.1 |
0.82 | |
TNI (ng/mL) | 3.8 |
2.1 |
4.8 |
0.15 | 4.3 |
3.0 |
3.5 |
0.68 | 3.8 |
3.6 |
3.4 |
0.94 | |
CRP (mg/L) | 86.6 |
87.9 |
88.7 |
0.85 | 85.6 |
88.6 |
89.1 |
0.81 | 87.2 |
87.5 |
88.3 |
0.79 | |
BNP (mmol/L) | 83.0 |
86.7 |
94.3 |
0.76 | 90.4 |
87.2 |
86.3 |
0.96 | 80.6 |
91.5 |
91.8 |
0.71 | |
Fasting glucose (mmol/L) | 5.3 |
5.3 |
5.9 |
0.01 | 4.9 |
5.2 |
6.3 |
0.01 | 4.5 |
5.2 |
6.8 |
0.01 | |
Triglycerides (mmol/L) | 0.9 |
1.4 |
1.9 |
0.01 | 1.3 |
1.4 |
1.6 |
0.01 | 1.0 |
1.4 |
2.0 |
0.01 | |
HDL-C (mmol/L) | 1.3 |
1.1 |
1.0 |
0.01 | 1.2 |
1.2 |
1.1 |
0.01 | 1.2 |
1.2 |
1.2 |
0.77 | |
LDL-C (mmol/L) | 2.1 |
2.2 |
2.3 |
0.13 | 2.2 |
2.2 |
2.2 |
0.97 | 2.1 |
2.2 |
2.3 |
0.10 | |
WC (cm) | 78.0 |
79.1 |
83.7 |
0.01 | 75.1 |
78.9 |
86.7 |
0.01 | 77.8 |
78.6 |
84.4 |
0.01 | |
Angiographic and echocardiographic data | |||||||||||||
LVEF (%) | 60 |
59 |
59 |
0.31 | 59 |
59 |
59 |
0.96 | 60 |
59 |
59 |
0.68 | |
LVEDD (mm) | 45.9 |
45.5 |
46.0 |
0.68 | 45.8 |
46.0 |
45.7 |
0.85 | 45.8 |
45.6 |
46.1 |
0.67 | |
Left atrial diameter (mm) | 39.4 |
39.6 |
38.5 |
0.07 | 39.1 |
39.7 |
38.8 |
0.25 | 39.3 |
39.5 |
38.7 |
0.30 | |
Aneurysm [% (n)] | 2.7 (5) | 3.3 (6) | 1.7 (3) | 0.61 | 2.8 (5) | 3.3 (6) | 1.7 (3) | 0.61 | 2.2 (4) | 1.6 (3) | 4.0 (7) | 0.34 | |
LAD lesion [% (n)] | 93.4 (170) | 91.8 (167) | 89.3 (159) | 0.37 | 92.2 (166) | 94.0 (171) | 88.3 (159) | 0.14 | 92.3 (167) | 94.1 (174) | 88.1 (155) | 0.11 | |
LCX lesion [% (n)] | 86.8 (158) | 92.9 (169) | 86.5 (154) | 0.09 | 90.0 (162) | 87.4 (159) | 88.9 (160) | 0.72 | 88.4 (160) | 89.2 (165) | 88.6 (156) | 0.97 | |
RCA lesion [% (n)] | 86.8 (158) | 85.2 (155) | 87.1 (155) | 0.85 | 83.3 (150) | 89.6 (163) | 86.1 (155) | 0.22 | 85.6 (155) | 86.5 (160) | 86.9 (153) | 0.93 | |
LM lesion [% (n)] | 70.9 (129) | 73.6 (134) | 71.3 (127) | 0.82 | 71.1 (128) | 64.8 (118) | 79.9 (144) | 0.06 | 69.6 (126) | 70.8 (131) | 75.6 (133) | 0.41 | |
Multivessel lesion [% (n)] | 91.2 (166) | 92.9 (169) | 93.3 (166) | 0.73 | 92.2 (166) | 92.3 (168) | 92.8 (167) | 0.97 | 90.6 (164) | 88.6 (169) | 81.3 (168) | 0.17 | |
Perioperative variables | |||||||||||||
Duration of operation (h) | 4.1 |
4.1 |
4.1 |
0.68 | 4.0 |
4.1 |
4.2 |
0.16 | 4.1 |
4.1 |
4.2 |
0.36 | |
ICU staying (h) | 43.6 |
42.0 |
45.7 |
0.51 | 42.5 |
43.5 |
45.2 |
0.69 | 45.4 |
41.5 |
44.4 |
0.45 | |
Time of mechanical ventilation (h) | 29.7 |
26.3 |
29.3 |
0.22 | 26.1 |
28.5 |
30.6 |
0.12 | 30.2 |
27.1 |
28.1 |
0.35 | |
Number of grafts | 3 [1, 4] | 3 [2, 5] | 3 [1, 4] | 0.69 | 3 [1, 5] | 3 [1, 6] | 3 [1, 5] | 0.19 | 3 [1, 4] | 3 [2, 5] | 3 [1, 4] | 0.34 |
VATI, visceral adiposity tissue index; TyG, triglyceride glucose index; VAI, visceral adiposity index; BMI, body mass index; COPD, chronic obstructive pulmonary disease; PCI, percutaneous coronary intervention; SBP, systolic blood pressure; DBP, diastolic blood pressure; CRP, C-reaction protein; TNI, troponin I; BNP, brain natriuretic peptide; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; WC, waist circumference; NYHA, New York Heart Association; LVEF, left ventricular ejection fraction; LVEDD, left ventricular end-diastolic diameter; LAD, left anterior descending artery; LCX, left circumfex artery; RCA, right coronary artery; LM, left main coronary artery; ICU, intensive care unit.
The study population was classified into nine subgroups depending on the different index tertiles for further analysis: the VAI 1 group (n = 180), the VAI 2 group (n = 184), and the VAI 3 group (n = 178); the VATI 1 group (n = 180), the VATI 2 group (n = 182) and the VATI 3 group (n = 180); and the TyG 1 group (n = 181), the TyG 2 group (n = 185) and the TyG 3 group (n = 176). Compared with the lowest tertiles of VAI, participants with higher levels of VAI were more inclined to have higher BMI, fasting glucose, triglycerides, low-density lipoprotein cholesterol (LDL-C), and WC values, and to have a lower levels of HDL-C. In addition, patients in the higher VATI tertile when compared to the lowest tertile had higher BMI, fasting glucose, triglycerides, LDL-C, and WC levels but a lower level of HDL-C. These patients were less likely to be males and had a higher proportion of hypertension. For TyG index, higher BMI, fasting glucose, triglycerides and WC levels were more likely found in the TyG 3 group than in the other tertile groups.
The relationships between VAI, VATI, TyG index and new-onset POAF are presented in Table 2 (Supplementary Fig. 1 and Supplementary Table 1). In the unadjusted Cox proportional hazards models, when compared with the lowest tertile, the HRs (95% CIs) of the highest tertile of the VAI, VATI and TyG index for POAF were 2.28 (1.47–3.23), 4.23 (2.74–6.042) and 3.64 (2.36–5.62), respectively. In the age and sex-adjusted Cox proportional hazards models, when compared with the lowest tertile, the HRs (95% CIs) of the highest tertile of the VAI, VATI and TyG index for POAF were 2.08 (1.35–3.22), 3.16 (1.24–4.20) and 3.12 (1.93–5.05), respectively. After further adjustment for covariables of BMI, CRP, diabetes, emergency operation, NYHA III–IV, and left atrial diameter in Model 3, the higher VAI, VATI and TyG index were significantly associated with an increased risk of POAF. Fully adjusted HRs (95% CIs) of the VAI, VATI and TyG index in tertile 3 versus tertile 1 were 1.88 (1.21–2.95), 2.58 (1.12–3.45) and 2.88 (1.76–4.71), respectively, for POAF. In addition, in the fully adjusted model, each 1.0 SD increase in the VAI, VATI and TyG index was related to an increased risk of POAF, and the HR values were 1.14 (1.02–1.27), 1.53 (1.06–2.28) and 1.24 (1.03–1.73), respectively.
Model | Visceral Adiposity Index Tertiles (HRs and 95% CIs) | VATI Tertiles (HRs and 95% CIs) | TyG Index Tertiles (HRs and 95% CIs) | |||||||||||||
VAI 1 | VAI 2 | VAI 3 | p Trend | Each 1-SD increase | VATI 1 | VATI 2 | VATI 3 | p Trend | Each 1-SD increase | TyG 1 | TyG 2 | TyG 3 | p Trend | Each 1-SD increase | ||
POAF | ||||||||||||||||
Model 1 | 1.0 | 2.16 (1.19–2.29) | 2.28 (1.47–3.23) | 0.01 | 1.15 (1.05–1.27) | 1.0 | 2.35 (1.15–2.81) | 4.23 (2.74–6.042) | 0.01 | 1.54 (1.10–2.15) | 1.0 | 2.67 (1.82–2.39) | 3.64 (2.36–5.62) | 0.01 | 1.23 (1.09–1.70) | |
Model 2 | 1.0 | 1.53 (0.87–1.86) | 2.08 (1.35–3.22) | 0.02 | 1.15 (1.04–1.23) | 1.0 | 1.36 (1.02–1.81) | 3.16 (1.24–4.20) | 0.01 | 1.56 (1.12–2.19) | 1.0 | 1.67 (0.92–1.89) | 3.12 (1.93–5.05) | 0.02 | 1.24 (1.04–1.71) | |
Model 3 | 1.0 | 1.12 (0.49–1.73) | 1.88 (1.21–2.95) | 0.03 | 1.14 (1.02–1.27) | 1.0 | 1.33 (0.94–1.78) | 2.58 (1.12–3.45) | 0.01 | 1.53 (1.06–2.28) | 1.0 | 1.54 (0.25–1.17) | 2.88 (1.76–4.71) | 0.04 | 1.24 (1.03–1.73) |
VATI, The mid-third lumbar vertebrae visceral adiposity tissue index; TyG,
triglyceride glucose index; VAI, visceral adiposity index; CI, confidence
interval; POAF, postoperative atrial fibrillation; BMI, body mass index; CRP, C-reaction protein; NYHA, New York Heart Association; HR, hazard ratio.
Model 1, unadjusted; Model 2, age, sex; Model 3, Model 2 + BMI, CRP, Diabetes,
Emergency operation, NYHA III–IV, and Left atrial diameter.
Tests for linear trends based on variable containing median value for each
tertile.
The dose-response relationships between TyG index, VATI, and VAI with the risk
of new-onset POAF is shown in Fig. 3. Multiple-adjusted spline regression models
indicate a significant nonlinear relationship between POAF and VATI (p
for nonlinearity
Dose–response relationship of the VATI, VAI and TyG index with
new-onset atrial fibrillation following off-pump coronary artery bypass graft.
Hazard ratios and 95% confidence intervals derived from restricted cubic spline
regression, with with two knots at each tertile cut-point of the distribution of
the VATI, VAI and TyG index levels. (A) The nonlinear relationship between
POAF and VATI (p for nonlinearity
The receiver operating characteristic (ROC) curves of the VATI,
VAI and TyG index added into original model for predicting new-onset atrial
fibrillation following off-pump coronary artery bypass graft. The red solid
line, ROC curves of the L3-VATI added into original model (AUC = 0.897, 95% CI:
0.861–0.916, Cutoff value = 51.34, p
Model | AUC (95% CI) | ∆AUC | p-value |
Original model* | 0.794 (0.747–0.836) | - | - |
Original model + VATI | 0.897 (0.861–0.916) | 0.103 | |
Original model + TyG index | 0.878 (0.840–0.896) | 0.084 | 0.005 |
Original model + VAI | 0.801 (0.756–0.845) | 0.007 | 0.021 |
VATI, visceral adiposity tissue index; TyG, triglyceride glucose index; VAI,
visceral adiposity index; AUC, area under the curve; BMI, body mass index; CRP, C-reaction protein; NYHA, New York Heart Association; CI, confidence interval.
*Original model included age, sex, BMI, CRP, diabetes, emergency operation, NYHA
III–IV, and left atrial diameter.
Sensitivity analyses were performed for VATI, VAI, and TyG index, and these
confirmed that the results were similar for most tertiles (Supplementary
Table 2). We repeated the analysis after excluding patients with a left atrial
diameter
The present study assessed the association of CT-based mid-third lumbar vertebrae VATI, VAI, and TyG index with the development of new-onset POAF in patients after OPCABG. In our analysis we found a 1.0 SD increase in CT-based VATI, VAI, and TyG-index levels was significantly associated with an increased risk of new-onset POAF using a fully adjusted model as both a continuous or categorical variable. The sensitivity analyses conducted also confirmed that the CT-based VATI and TyG index were more independently correlated with new-onset POAF than was VAI.
Visceral adipose tissue is an important component of the body and participates in key pathophysiologic processes of regulating lipid and glucose metabolism, insulin sensitivity, and inflammation [22]. Therefore, exploration of the indexes of adiposity to better target likely indicators of CVD remains clinically significant. Previous studies found that a high level of visceral adiposity, rather than general adiposity, was significantly associated with increased CVD risk [23, 24]. A large prospective study, the Heart Outcomes Prevention Evaluation study, examined the association between MI and BMI, or abdominal obesity indexes, and found that abdominal obesity indexes were independent predictors of CVD death, MI, and total mortality [25]. Rexrode et al. [26] observed that elevated levels of visceral adipose tissue were independently associated with a two-fold increase in CHD risk, even after adjusting for hypertension, diabetes, and high cholesterol. In the INTERHEART study, which enrolled 27,098 participants from 52 countries, visceral adipose tissue was found to be closely correlated with the risk of CHD even after adjusting for other risk factors [27]. However, a crucial index used to represent the visceral adiposity in the INTERHEART study was waist circumference (the ratio of abdominal waist to hip circumference) which is a metric that many view as less persuasive than a CT-based visceral adipose tissue index.
The development of imaging technologies, such as CT, has yielded extraordinary
progress in understanding the distribution of adipose tissue. CT can scan the
whole body, or specific regions of the body, to generate cross-sectional images
and calculate respective cross-sectional areas [22]. Nevertheless, there have
been only a few clinical studies conducted concerning the association between
CT-based VATI and CVD. In an analysis of the Framingham Heart Study Offspring
cohort, Mahabadi et al. [23] observed that visceral abdominal adipose
tissue is associated with CVD independent of traditional measures of obesity;
however, the association between the CT-based VATI and new-onset POAF was not
clearly established. Our data show that VATI is associated with POAF, the fully
adjusted HR (95% CI) in tertile group 3 versus tertile group 1 was 2.58
(1.12–3.45), and the AUC of the VATI when added into the original model was
0.897 (p
In the present study, we used VAI to further investigate a potential association between visceral adipose tissue and new-onset POAF in patients after OPCABG. We found that the association between VAI and POAF was significant after adjusting for age, sex, BMI, and other variables. The fully adjusted HR (95% CI) of VAI in tertile group 3 versus tertile group 1 was 1.88 (1.21–2.95). Furthermore, VAI had a moderate predictive value for POAF with the AUC of VAI added into the original model calculated to be 0.801 (p = 0.021). Previous studies have found that VAI was significantly correlated with an increased risk of various CVDs. For example, Britton et al. [28] observed that VAI, when compared to BMI and waist circumference, was more predictive of cardiovascular risks in a study conducted on the general population. In addition, Amato et al. [29] reported, based on data from 1498 patients, that VAI was a more sensitive and specific predictor of cardiovascular and cerebrovascular events. In another study encompassing a large sample, the elevated level of VAI was also related to cardiovascular events [30]. However, data concerning the association between VAI and POAF after cardiac surgery are relatively limited with only a single small retrospective study that included 199 patients that had on-pump coronary artery bypass operations. Engin et al. [31] found that a high VAI level was associated with an increased POAF risk. Thus, our findings, when taken together with previous studies, support a close relationship between VAI and POAF in patients undergoing either off-pump or on-pump CABG. Furthermore, results suggest that visceral adipose tissue cannot be overlooked as one of the important determinants of potential illness.
Although the underlying mechanisms by which visceral adipose tissue affects atrial fibrillation have not been fully demonstrated, available studies have determined that visceral fat is closely associated with IR [15]. IR refers to the inability of endogenous insulin to be used for peripheral tissues and dysregulated glucose homeostasis in the body [15]. This may predispose patients to progression of atrial fibrillation by enlarging the left atrial size or by damaging the diastolic function of the left ventricle [32, 33, 34], activating the mitogen-activated protein kinase (MAPK) pathway to induce atrial electrical and structural remodeling [34], and destroying the function of insulin-sensitive glucose transporters [35]. The TyG index has been demonstrated to be a more convenient and valid indicator of IR than the current gold standard established using a hyperinsulinemic-euglycemic clamp because the TyG index is simpler and more cost-effective to calculate [17]. Many studies have indicated that TyG index is positively associated with cardiovascular outcomes in different patient populations [19, 20]. To date, only a limited number of studies investigating the relationship between TyG index and POAF have been performed. An analysis of 549 patients who developed ST-segment elevation MI after percutaneous coronary intervention, indicated that elevated TyG index was associated with an increased risk of new-onset atrial fibrillation [36]. Another small retrospective study, with 409 patients diagnosed with hypertrophic obstructive cardiomyopathy, found that the TyG index was an independent predictor of POAF in patients who had undergone septal myectomy [37]. No previous studies, however, have directly investigated the association between the TyG index and the occurrence of new-onset POAF after OPCABG. In the present study, patients in the highest tertile of the TyG index were more inclined to develop POAF than those in the lowest tertile. In addition, we found that a higher TyG index was an independent risk factor for POAF incidence, and had a moderate predictive value as the AUC of the TyG index, when added into the original model, was calculated as 0.878 (p = 0.005).
Obesity has proven to be one of the important, and modifiable, determinants of CVD and can result in undesired outcomes such as POAF after treatments such as CABG [38]. Therefore, it is clinically important to identify obese patients early who are at risk for new-onset POAF. Doing so will help to ensure that adequate precautions are taken to improve clinical outcomes. BMI is the most commonly used indicator of obesity; however, among cardiovascular risk factors, the usability of BMI is controversial and has led to the so-called “obesity paradox” [27]. Consequently, a growing number of studies indicate that excess central obesity was more useful for the prognosis of CVD and prediction of atrial fibrillation [39]. Furthermore, previous studies demonstrated that IR may play a key role in abnormal lipid deposition [15]. Nevertheless, clinical evidence concerning a potential association between visceral adiposity/IR and the complication of POAF after OPCABG has not yet been clearly established. In light of all available information, the strengths of our study include the fact that this represents the first report exploring the potential association between CT-based VATI and new-onset POAF after OPCABG. In addition, both VAI and TyG index are ideal biochemical indicators well-suited for use in routine clinical practice as these indices enable the convenient identification of patients at high risk of POAF. This study also identified cutoff values for desirable VATI, VAI, and TyG indexes and these values may be useful in predicting risk of POAF by using ROC curve analysis, as well as using the multiple-adjusted spline regression model.
There were several limitations noted in this study. First, this study is a single-center, retrospective study. Future large-scale prospective studies are needed to provide conclusive supporting evidence. Second, owing to a lack of data, we could not proceed with serial measurements of VATI, VAI, and TyG index; therefore, we were unable to investigate the correlation between index changes and POAF. Third, we did not analyze follow-up outcomes and this prevented study of the long-term effects related to VATI, VAI, and TyG index. Moreover, VAI is not a currently recognized definitive diagnostic test and it should be used with other clinical assessments to guide risk identification and treatment strategies.
The findings outlined in the present study suggest that elevated VATI, VAI, and TyG index values are independently associated with new-onset POAF in patients who have undergone OPCABG. Large-scale observational studies are needed to verify the present findings; however, our findings indicate that it is plausible to conclude that VATI, VAI, and TyG index may be useful measurements to use as as risk-stratification tools for patients that have undergone OPCABG.
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
XBY, KH: study design and critical revision of the manuscript. ZP, RZ, YXY: management of patient follow-up, data collection. RZ, YXY, XBY, KH: help and advice with biomarker measurements, critical revision of the manuscript. ZP, RZ, YXY: data analysis, statistical workup. ZP: manuscript preparation. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.
This study protocol was approved by the ethics committee of Beijing Anzhen Hospital (No. 2018101X) and was in accordance with the Declaration of Helsinki. The need for informed consent was waived due to the retrospective study.
Not applicable.
This research was supported by Beijing Natural Science Foundation (7222049).
The authors declare no conflict of interest.
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