Literature DB >> 36071766

Prognostic value of left ventricular hypertrophy in postoperative outcomes in type A acute aortic dissection.

Yifan Zuo1, Yun Xing2, Zhiwei Wang1, Zhiyong Wu1, Zhipeng Hu1, Rui Hu1, Feng Shi1, Tianyu Liu1, Liang Liu1.   

Abstract

Background: Left ventricular hypertrophy (LVH) is common in hypertension patients. Hypertension is a recognized risk factor of acute aortic dissection. This study aimed to explore the prognostic value of LVH in predicting postoperative outcomes in acute type A aortic dissection (ATAAD) patients.
Methods: This was a single-central retrospectively designed study. One hundred and ninety-three ATAAD patients who underwent surgical repair at Renmin Hospital of Wuhan University from January 2018 to November 2021 were enrolled. Patients were divided based on their left ventricular mass index (LVMI). We compared their baseline characteristics, perioperative data, and in-hospital outcome. Then nomogram models were developed based on logistic regression to predict the postoperative outcomes.
Results: LVH presented in 28.5% (55 in 193) patients. LVH group had a higher proportion of female patients compared with the non-LVH group (32.7% vs. 17.4%, P=0.03). Decreased left ventricular ejection fraction and cardiac tamponade were more prevalent in patients with LVH. LVH group had a higher risk of postoperative composite major outcomes (CMO) and operative mortality. Based on multivariable logistic regression, LVH/LVMI, Penn classification, hyperlipidemia, emergency surgery and cardiopulmonary bypass duration were applied to develop nomogram models for predicting postoperative CMO. The area under curve was 0.825 (95% CI: 0.749-0.900) for Model LVH and 0.841 (95% CI: 0.776-0.905) for Model LVMI. Nomogram models for predicting postoperative cardiac were developed based on LVH/LVMI and cardiopulmonary bypass duration. The area under curves for the models involving LVH or LVMI were 0.782 (95% CI: 0.640-0.923) and 0.795 (95% CI: 0.643-0.947), respectively. Conclusions: LVH and increased LVMI was associated with increased risk of postoperative CMO and cardiac events in ATAAD patients. The nomogram models based on LVH or LVMI might help predict postoperative CMO. Future research would be necessary to investigate prognostic value of LVH for long-term outcomes in ATAAD patients. 2022 Journal of Thoracic Disease. All rights reserved.

Entities:  

Keywords:  Left ventricular hypertrophy (LVH); acute aortic dissection; outcome; risk factor; surgery

Year:  2022        PMID: 36071766      PMCID: PMC9442519          DOI: 10.21037/jtd-22-193

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   3.005


Introduction

Acute aortic dissection (AD) is an urgent, life-threatening medical condition with rapid chest pain as the most common symptom at onset, that has an extremely high mortality (1,2). Acute aortic dissection is classified as acute type A AD (ATAAD) and acute type B AD based on the involvement of the ascending aorta, that differs in symptom, management, and outcome (3). Usually, ATAAD, in which the ascending aorta was involved, needs swift open surgical repair after initial diagnosis, including classic Bentall procedure, wheat procedure and frozen elephant trunk technique. Despite the improvement of clinical outcomes after surgical repair over time, the mortality of ATAAD is still high, about 1 in 5 patients died after surgery (1,2,4-7). Hypertension is a common condition in AD, with a prevalence of 75–80% among patients with AD (8). Hypertension can be triggered by many factors, such as obesity, genetic background and salt intake (9-12). Heart is one of the major target organs in hypertension-related organs damage (13,14). Left ventricular hypertrophy (LVH), which presents in approximately two-fifth of hypertension patients, is reported to be associated with increased cardiovascular morbidity and mortality, including sudden cardiac death, heart failure, arrhythmias, etc. (14-16). Also, research indicates that LVH is a risk factor of enlarged aorta and dissection (17). A previous study demonstrates LVH as a biomarker to predict increased mortality in type B AD patients (18). However, the association between LVH and ATAAD remains unknown. Herein, we investigated the prognostic value of LVH in AD patients after surgical repair, and developed nomogram models to predict postoperative outcomes in ATAAD patients. We present the following article in accordance with the TRIPOD reporting checklist (available at https://jtd.amegroups.com/article/view/10.21037/jtd-22-193/rc).

Methods

Study population and data collection

From 1 January 2018 to 31 November 2021, all adult patients (≥18 years) diagnosed with ATAAD in Renmin Hospital of Wuhan University were included. Imaging data (computed tomography angiography and transthoracic/transesophageal echocardiogram) was checked for confirmation. The predefined exclusion criteria were as follows: (I) simple intramural hematoma; (II) traumatic/iatrogenic AD, AD with pregnancy, or patients who had previous cardiac surgery; (III) patients with congenital aortic abnormalities; (IV) patients without complete medical records available. Demographic and clinical data were extracted individually from original medical records, including gender, age, weight, height, symptoms, medical background (diabetes mellitus, hypertension, coronary artery disease), smoking, alcohol consumption, laboratory biomarkers, electrocardiogram, ultrasound imaging, operation data, and in-hospital outcome. Hypertension was defined as follows, (I) patients with a history of previously diagnosed hypertension, regardless of blood pressure (BP) status. (II) patients with increased BP on admission (systolic BP >140 mmHg or diastolic BP >90 mmHg), or patients who were taking antihypertensive agents with normal BP level on admission. Left ventricular mass index (LVMI) was calculated based on echocardiogram data, as reported previously (19). LVH was defined as LVMI ≥115 g·m-2 for males, or LVMI ≥95 g·m−2 for females. The malperfusion was presented with Penn Classification as reported (20). The patients were divided into two groups, LVH and non-LVH (nLVH) group, based on their LVMI.

Study endpoints and operation procedure

The primary endpoints were postoperative complications within 30 days as follows: operative mortality, strokes, paraplegia, continuous renal replacement therapy (CRRT), and cardiac events. Cardiac events were defined as low cardiac output syndrome or ventricular arrhythmias. To evaluate the in-hospital outcomes, a parameter named composite major outcomes (CMO) was utilized for patients with at least one primary endpoint event. The secondary endpoints were re-exploration for postoperative bleeding, tracheotomy, and new-onset atrial fibrillation after surgery. The operation plan was decided by experienced surgeons. Moderate hypothermic circulatory arrest was applied for patients required arch replacement. Cold antegrade custodial-histidine-trypthophan-ketoglutarate solution (Custodial-HTK) was applied for myocardial preservation.

Statistical analysis

Statistical analysis was performed utilizing the R 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria). A two-tailed P value of <0.05 was considered statistically significant. Normally distributed continuous variables were expressed as mean ± standard deviation (SD) and compared with student’s t-test. Skewed continuous variables were expressed as the median and interquartile range (IQR) and compared with Mann-Whitney U-test. Categorical variables are described as frequencies with percentages, and analyzed by Fisher’s exact test. Shapiro-Wilk-test was used to evaluate the normality of continuous data. Logistic regression analysis was performed to evaluate the correlation and select predictors for the nomogram model. The bootstrap method was applied for internal validation. Calibration curve and decision curve analysis were applied to assess model performance. Propensity score matching was applied for confounding control. Nomogram models were developed based on multivariable logistic regression. Variables with a P value <0.05 were selected for model development. LVH and LVMI were used separately for model development. Calibration curve and decision curve analysis were used to assess model performance.

Patient and public involvement statement

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This study was approved by the ethics commission of Renmin Hospital of Wuhan University (WDRM2020-K230). Informed consent was not required due to its retrospective nature.

Results

Demographic and clinical data

One hundred and ninety-three patients were included in the final analysis (Figure S1). Demographic and clinical data were summarized in . The two groups did not differ in age. However, there were more females in patients with LVH (32.7% vs. 17.4%, P=0.03). Patients without LVH had a higher median BMI of 25.0 kg·m−2. However, the proportion of overweight/obesity was similar among the two groups. Sudden anterior chest pain was a common symptom in both groups. No significant difference in the prevalence of hypertension (94.5% in LVH group vs. 89.1% in nLVH group, P=0.29). Patients with LVH had higher presenting diastolic BP (82.2±17.2 vs. 76.0±19.2 mmHg, P=0.04) and higher presenting pulse pressure (79.8±17.5 vs. 67.9±20.1 mmHg, P<0.01), but similar systolic BP (138.3±24.1 vs. 141.0±29.6 mmHg, P=0.51). Renal dysfunction was more common in the LVH group (25.5% in the LVH group vs. 12.3% in the nLVH group, P=0.03). No other apparent differences were found among the 2 groups in terms of hyperlipidemia, coronary artery disease, diabetes mellitus, alcohol consumption, smoking, liver lesions, or hypoxemia at admission.
Table 1

Demographic and clinical characteristics

CharacteristicsOverall (N=193)Left ventricular hypertrophyP value
Presence (N=55)Absence (N=138)
Age (y)52.9±10.853.2±10.552.8±10.90.817
Gender
   Male151 (78.2)37 (67.3)114 (82.6)0.032*
   Female42 (21.8)18 (32.7)24 (17.4)
LVMI (g·m−2)99.4 (87.2–111.9)123.7 (115.7–142.8)91.1 (82.8–102.4)<0.001*
Body mass index (kg·m−2)24.8 (22.7–27.2)23.7 (21.9–26.0)25.0 (23.0–27.7)0.016*
   Overweight70 (36.3)15 (27.3)55 (39.9)0.086
   Obesity42 (21.8)10 (18.2)32 (23.2)
Blood type
   A60 (31.1)12 (21.8)48 (34.8)0.091
   B42 (21.8)18 (32.7)24 (17.4)
   O83 (43.0)23 (41.8)60 (43.5)
   AB8 (4.1)2 (3.6)6 (4.3)
Presenting symptoms
   Chest pain (anterior)162 (83.9)43 (78.2)119 (86.2)0.194
   Back pain113 (58.5)33 (60.0)80 (58.0)0.872
   Syncope12 (6.2)3 (5.5)9 (6.5)1.000
Medical background
   Hyperlipidemia71 (36.8)21 (38.2)50 (36.2)0.869
   CAD17 (8.8)6 (10.9)11 (8.0)0.576
   Diabetes mellitus11 (5.7)3 (5.5)8 (5.8)1.000
Hypertension175 (90.7)52 (94.5)123 (89.1)0.287
Presenting blood pressure
   Systolic BP (mmHg)140.2±28.2138.3±24.1141.0±29.60.514
   Diastolic BP (mmHg)77.8±18.882.2±17.276.0±19.20.038*
   PP (mmHg)71.3±20.179.8±17.567.9±20.1<0.001*
Drinking history43 (22.3)9 (16.4)34 (24.6)0.253
Smoking history71 (36.8)18 (32.7)53 (38.4)0.511
Ultrasound-detected liver lesions47 (24.4)11 (20.0)36 (26.1)0.459
Hypoxemia68 (35.2)18 (32.7)50 (36.2)0.739
Renal function
   Cr >140 mmol/L31 (16.1)14 (25.5)17 (12.3)0.031*

Data are expressed as mean ± standard deviation or medians and interquartile ranges or numbers (percentages). *, P value <0.05; †, hypoxemia was defined as an artery oxygen partial pressure <60 mmHg on admission. LVMI, left ventricular mass index; CAD, coronary artery disease; BP, blood pressure; PP, pulse pressure; Cr, creatinine.

Data are expressed as mean ± standard deviation or medians and interquartile ranges or numbers (percentages). *, P value <0.05; †, hypoxemia was defined as an artery oxygen partial pressure <60 mmHg on admission. LVMI, left ventricular mass index; CAD, coronary artery disease; BP, blood pressure; PP, pulse pressure; Cr, creatinine.

Perioperative data and laboratory examination

Laboratory examination results were presented in . Patients with LVH had slightly decreased hemoglobin and alanine aminotransferase concentrations. There were no significant differences among the two groups in terms of white blood cell counts, neutrophil counts, platelet counts, total bilirubin urea, creatine, uric acid, blood glucose, fibrinogen, or d-dimer concentration.
Table 2

Laboratory examination data

BiomarkersOverall (N=193)Left ventricular hypertrophyP value
Presence (N=55)Absence (N=138)
WBC (109/L)12.32 (10.30–14.29)11.71 (8.74–15.12)12.51 (10.48–14.23)0.396
Neu (109/L)10.26 (8.29–12.49)9.76 (7.50–12.62)10.46 (8.65–12.47)0.423
Hb (g/L)130.1±18.8125.8±21.6132.0±17.50.040*
Plt (109/L)162.0 (134.0–191.0)150.5 (135.0–191.0)163.0 (134.0–191.0)0.340
ALT (U/L)23.0 (15.0–34.5)19.5 (13.0–25.0)24.0 (17.0–36.0)0.006*
TBil (μmol/L)16.03 (11.62–22.62)15.80 (10.75–22.19)16.80 (11.86–22.75)0.287
Urea (mmol/L)6.85 (5.70–8.48)6.91 (5.97–9.86)6.77 (5.57–8.20)0.070
Cr (μmol/L)84.0 (66.5–118.5)89.0 (65.0–140.0)83.0 (67.0–118.0)0.456
UA (μmol/L)399.0 (320.5–489.0)409.0 (339.0–490.0)398.0 (313.0–488.0)0.270
Glucose (mmol/L)7.14 (6.18–8.40)7.36 (6.55–8.60)7.01 (6.05–8.40)0.226
FIB (g/L)2.16 (1.68–3.14)2.13 (1.62–2.78)2.18 (0.75–3.32)0.555
D-dimer (mg/L)6.44 (3.38–13.92)7.96 (4.42–15.01)5.73 (3.32–12.80)0.080

*, P value <0.05. WBC, white blood cell counts; Neu, neutrophil; Hb, hemoglobin; Plt, platelets; ALT, alanine aminotransferase; TBil, total bilirubin; Cr, creatinine; UA, uric acid; FIB, fibrinogen.

*, P value <0.05. WBC, white blood cell counts; Neu, neutrophil; Hb, hemoglobin; Plt, platelets; ALT, alanine aminotransferase; TBil, total bilirubin; Cr, creatinine; UA, uric acid; FIB, fibrinogen. presented the perioperative and postoperative information data of the two groups. Patients with LVH were more likely to experience cardiac tamponade and decreased left ventricular ejection function. Ultra-sound detected aortic valve insufficiency was common in both two groups, that 58.2% of the LVH group and 50.7% of the nLVH group had aortic insufficiency. About 43.6% of patients with LVH underwent surgical repair within the first 24 hours of admission, while 37.7% of patients without LVH underwent emergency surgery. The overall median (IQR) of cardiopulmonary bypass (CPB) duration, aortic cross-clamping duration, and circulatory arrest duration were 267.0 (241.0–297.0), 140.0 (124.0–165.0), and 31.0 (20.0–38.0) min, respectively. In terms of surgical procedures, there was no apparent difference among the two groups.
Table 3

Perioperative data and postoperative outcomes

CharacteristicsLeft ventricular hypertrophyP value
Presence (N=55)Absence (N=138)
Penn classification
   Penn Aa26 (47.3)70 (50.7)0.874
   Penn Ab26 (47.3)59 (42.8)
   Penn Ac/Ab&c3 (5.5)9 (6.5)
Myocardial infarction4 (7.3)11 (8.0)1.000
Maximum AAoD (mm)41.9±7.640.9±8.00.448
Echocardiogram
   Decreased LVEF8 (14.5)2 (1.4)0.001*
   Pericardial effusion
    Absence28 (50.9)63 (45.7)0.030*
    Presence20 (36.4)70 (50.7)
    Cardiac tamponade7 (12.7)5 (3.6)
   Aortic insufficiency
    Mild16 (29.1)37 (26.8)0.162
    Middle10 (18.2)29 (21.0)
    Severe6 (10.9)4 (2.9)
Surgical repair
   Within 24 h24 (43.6)52 (37.7)0.514
   After 24 h31 (56.4)86 (62.3)
Cannulation strategy
   Femoral artery28 (50.9)75 (54.3)0.889
   Axillary artery1 (1.8)2 (1.4)
   Femoral artery & axillary artery26 (47.3)61 (44.2)
Operation durations
   CPB durations (min)269.0 (238.5–308.0)265.0 (243.0–297.0)0.710
   ACx durations (min)139.0 (123.0–161.0)142.5 (125.0–165.0)0.526
   CA durations (min)33.0 (20.0–37.5)31.0 (20.0–38.0)0.736
CABG3 (5.5)10 (7.2)0.761
Proximal reconstruction
   Modified Bentall9 (16.4)20 (14.5)0.933
   Aortic valve replacement/repair6 (10.9)17 (12.3)
   Valve conservative surgery40 (72.7)101 (73.2)
Arch replacement41 (74.5)117 (84.8)0.102
Distal aortic operation
   Frozen elephant trunk30 (54.5)67 (48.6)0.683
   Hybrid24 (43.6)65 (47.1)
Automatic heart resuscitation12 (21.8)38 (27.5)0.470
In-hospital outcome
   Composite major outcomes17 (30.9)21 (15.2)0.017*
    Operative mortality10 (18.2)10 (7.2)0.035*
    Stroke4 (7.3)2 (1.4)0.056
    Paraplegia2 (3.6)3 (2.2)0.624
    CRRT9 (16.4)12 (8.7)0.131
    Cardiac events7 (12.7)6 (4.3)0.053
   Re-exploration1 (1.8)4 (2.9)1.000
   Tracheotomy5 (9.1)6 (4.3)0.299
   Atrial fibrillation6 (10.9)4 (2.9)0.033*

Data are expressed as mean ± standard deviation or medians and interquartile ranges or numbers (percentages). *, P value <0.05. †, decreased LVEF was defined as a LVEF <50%; ‡, compared with LVH group. Post hoc test was adjusted with Bonferroni method. AAoD, ascending aortic diameter; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CABG, coronary artery bypass graft; CRRT, continuous renal replacement therapy.

Data are expressed as mean ± standard deviation or medians and interquartile ranges or numbers (percentages). *, P value <0.05. †, decreased LVEF was defined as a LVEF <50%; ‡, compared with LVH group. Post hoc test was adjusted with Bonferroni method. AAoD, ascending aortic diameter; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CABG, coronary artery bypass graft; CRRT, continuous renal replacement therapy. As showed in , CMO occurred in 17 (30.9%) of 55 LVH patients and 21 (15.2%) of 138 nLVH patients. LVH group had higher operative mortality of 18.2%, while the nLVH group had operative mortality of 7.2% (P=0.04). LVH patients had a higher prevalence of postoperative stroke (4 in 55 patients) and cardiac events (7 in 55 patients). In the nLVH group, the prevalence of stroke and cardiac events were 1.4% (2 in 138) and 4.3% (6 in 138), respectively. However, they narrowly missed the significant point. New-onset atrial fibrillation after surgery was present in 6 (10.9%) patients with LVH, while in the nLVH group only 4 (2.9%) patients had new-onset atrial fibrillation (10.9% vs. 2.9%, P=0.03). Two groups had no significant differences in paraplegia, CRRT, re-exploration, or tracheotomy after surgical repair.

Risk factors for CMO and cardiac events

To investigate risk factors for postoperative CMO, a univariate logistic regression was performed. Perioperative data, including baseline characteristics and operative information, was included in univariate logistic regression as summarized in . Results indicated that, LVH (OR: 2.5, 95% CI: 1.2–5.2, P=0.02), LVMI (per 10 g·m−2) (OR: 1.2, 95% CI: 1.0–1.3, P<0.01), ischemia (Penn Classification Ac, or Ab&c) (OR: 15.4, 95% CI: 4.0–59.9, P<0.01), hyperlipidemia (OR: 3.4, 95% CI: 1.6–7.1, P<0.01), renal dysfunction (OR: 3.3, 95% CI: 1.4–7.6, P<0.01) and emergency surgery (OR: 3.4, 95% CI: 1.6–7.1, P<0.01) were risk factors for postoperative CMO in ATAAD patients. Moreover, the increased durations of operation, including CPB duration (per 10 minutes) (OR: 1.1, 95% CI: 1.0–1.2, P<0.01), aortic cross-clamping duration (per 10 minutes) (OR: 1.1, 95% CI: 1.0–1.2, P=0.05) and circulatory arrest duration (per 5 minutes) (OR: 1.0, 95% CI: 1.0–1.4, P≤0.01), were associated with CMO.
Table 4

Univariable logistic regression for indicators of CMO and cardiac events

CharacteristicsCMOCardiac events
OR95% CIP valueOR95% CIP value
Left ventricular hypertrophy2.4921.193–5.2070.015*3.2081.027–10.020.045*
LVMI
   Linear, per 10g·m−21.1691.051–1.3010.004*1.1941.061–1.3430.003*
Age (y)
   Linear, per 10 y0.8650.630–1.1860.3671.2520.733–2.1400.410
   ≥60 y0.5880.241–1.4360.2441.8750.584–6.0240.291
Male gender2.0700.753–5.6850.1581.5710.335–7.3820.567
BMI (kg·m−2)
   Linear1.0180.928–1.1160.7011.0350.899–1.1930.630
   Overweight0.7790.343–1.7680.5500.3110.062–1.5490.154
   Obesity1.0270.413–2.5520.9551.1130.307–4.0390.871
Penn classification
   Penn AaReferenceReference
   Penn Ab2.2240.990–4.9960.0531.3820.406–4.7030.604
   Penn Ac/Ab&c15.453.988–59.89<0.001*3.6400.623–21.260.151
Medical background
   Hyperlipidemia3.4181.640–7.1220.001*2.9710.933–9.4650.065
   CAD2.4540.845–7.1270.0992.0000.405–9.8730.395
   Diabetes mellitus0.3920.049–3.1590.3790.999
Drinking history0.9140.384–2.1740.8391.0500.276–3.9990.943
Smoking history1.9810.966–4.0610.0622.1150.681–6.5610.195
Decreased LVEF1.8120.446–7.3620.4063.9090.740–20.660.108
Cardiac tamponade3.2030.957–10.720.0593.0910.602–15.870.176
Ultrasound-detected liver lesions1.1390.506–2.5630.7531.4160.415–4.8280.578
Elevated total bilirubin1.0610.484–2.3250.8821.1560.340–3.9220.817
Hypoxemia0.7000.323–1.5180.3670.8060.239–2.7200.728
Renal dysfunction3.3041.432–7.6190.005*0.4170.052–3.3260.409
Myocardial infarction0.2720.035–2.1370.2160.999
Surgical timing
   After 24 hReferenceReference
   Within 24 h3.3961.622–7.1070.001*1.8770.606–5.8160.275
Operation duration
   CPB duration (per 10 min)1.1331.057–1.214<0.001*1.1311.036–1.2330.006*
   ACx duration (per 10 min)1.0981.000–1.2060.049*1.0470.907–1.2090.528
   CA duration (per 5 min)1.0251.055–1.3760.006*1.1110.917–1.3480.283
CABG1.9080.555-6.5650.3052.7930.550–14.190.215
Proximal reconstruction
   Valve conservative root surgeryReferenceReference
   Modified Bentall procedure1.1010.409–2.9690.8482.3470.670–8.2150.182
   Aortic valve replacement/repair1.1730.400–3.4400.7720.998
Arch replacement1.2280.470–3.2090.6762.7950.351–22.230.331

*, P value <0.05; †, decreased LVEF was defined as a LVEF <50%. CMO, composite major outcomes; LVMI, left ventricular mass index; BMI, body mass index; CAD, coronary artery disease; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CABG, coronary artery bypass graft.

*, P value <0.05; †, decreased LVEF was defined as a LVEF <50%. CMO, composite major outcomes; LVMI, left ventricular mass index; BMI, body mass index; CAD, coronary artery disease; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CABG, coronary artery bypass graft. Another univariate analysis (cardiac events as endpoint) was performed and presented in . Consistent with previous results, LVH (OR: 3.2, 95% CI: 1.0–10.0, P=0.04), LVMI (per 10 g·m−2) (OR: 1.2, 95% CI: 1.1–1.3, P<0.01) and CPB duration (per 10 minutes) (OR: 1.1, 95% CI: 1.0–1.2, P<0.01) were predictors for postoperative cardiac events. However, hyperlipidemia narrowly missed the significant point (OR: 3.0, 95% CI: 0.9–9.5, P=0.06).

Multivariate logistic regression model for CMO

Multivariate logistic regression was performed to identify independent predictors for CMO. Indicators with a P value of less than 0.05 in univariate analysis were included in the multivariate model. Aortic cross-clamping duration and circulatory arrest duration were excluded from the model, as shown in Table S1. Variables included in the final multivariate analysis for CMO were LVH/LVMI, Penn Classification, hyperlipidemia, smoking, renal dysfunction, coronary artery disease, emergency surgery, and CPB duration. presented result of the multivariate analysis.
Table 5

Multivariable logistic regression for indicators of CMO

CharacteristicsβS.E.WaldOR95% CIP value
LVH
   Left ventricular hypertrophy0.9420.4484.4092.5641.065–6.1750.036*
   Penn Ab0.5580.4881.3061.7480.671–4.5520.253
   Penn Ac/Ab&c2.6010.79810.6213.482.819–64.420.001*
   Hyperlipidemia1.0850.4416.0662.9601.248–7.0200.014*
   Renal dysfunction0.7680.5591.8902.1560.721–6.4480.169
   Emergency surgical repair1.0450.4415.6242.8451.199–6.7500.018*
   CPB durations (per 10 min)0.1150.0408.3291.1221.038–1.2130.004*
   Intercept-6.6381.27427.16
LVMI
   LVMI (per 10 g·m−2)0.1490.0635.6861.1611.027–1.3120.017*
   Penn Ab0.5740.4911.3661.7760.678–4.6530.242
   Penn Ac/Ab&c2.3810.8268.30210.812.141–54.590.004*
   Hyperlipidemia1.0840.4426.0132.9581.243–7.0360.014*
   Renal dysfunction0.7970.5522.0822.2190.752–6.5540.149
   Emergency surgical repair1.1370.4486.4233.1161.294–7.5040.011*
   CPB durations (per 10 min)0.1190.0408.8071.1261.041–1.2190.003*
   Intercept−8.0871.48829.55

†, emergency surgical repair was defined as surgery within first 24 h of admission; *, P value <0.05. CMO, composite major outcomes; S.E., standard error; OR, odds ratio; CI, confidence interval; LVH, left ventricular hypertrophy; CPB, cardiopulmonary bypass; LVMI, left ventricular mass index.

†, emergency surgical repair was defined as surgery within first 24 h of admission; *, P value <0.05. CMO, composite major outcomes; S.E., standard error; OR, odds ratio; CI, confidence interval; LVH, left ventricular hypertrophy; CPB, cardiopulmonary bypass; LVMI, left ventricular mass index. The results indicated that, LVH (OR: 2.6, 95% CI: 1.1–6.2, P=0.04), ischemia (Penn Classification Ac, or Ab&c) (OR: 13.5, 95% CI: 2.8–64.4, P<0.01), hyperlipidemia (OR: 3.0, 95% CI: 1.2–7.0, P=0.01), emergency surgery (OR: 2.8, 95% CI: 1.2–6.8, P=0.02) and increased CPB duration (per 10 minutes) (OR: 1.1, 95% CI: 1.0–1.2, P<0.01) were independent risk factors for postoperative CMO in ATAAD patients. Consistent with previous results, increased LVMI was independent risk factor for CMO when LVH was replaced with LVMI, with an OR of 1.2 (95% CI: 1.0–1.3, P=0.02) for every 10 g·m-2 increase in LVMI.

Clinical features and in-hospital outcomes after propensity score matching

Propensity score matching was applied to reduce potential baseline confounding. Cardiac tamponade, hyperlipidemia, Penn classification, emergency surgery and renal dysfunction were included as covariates in the model Based on logistic regression results showed in and . Cases were matched in a 1:2 ratio to cases without LVH based on the propensity score with a standard caliper width of 0.2. Jitter plot and line plot for matching were presented in Figure S2. Clinical features and in-hospital outcomes after matching were summarized in . After matching, ATAAD patients with LVH had higher rates of postoperative CMO (16/52 vs. 13/94, P=0.02). Despite the relatively higher rates of decreased LVEF in LVH patients, no association between decreased LVEF and postoperative CMO was found by logistic regression analysis (OR: 2.6, 95% CI: 0.6–11.5, P=0.21).
Table 6

Clinical features and in-hospital outcomes after propensity score matching

CharacteristicsLeft ventricular hypertrophyP value
Presence (N=52)Absence (N=94)
Age (years)53.0±10.552.7±11.00.899
Gender
   Male36770.099
   Female1617
LVMI (g·m−2)125.2 (115.7–145.2)90.8 (82.8–102.4)<0.001*
Body mass index (kg·m−2)23.7 (22.0–26.0)25.0 (23.0–26.6)0.150
Medical background
   Hyperlipidemia19370.859
   Diabetes mellitus 380.747
   Hypertension49830.380
Ultrasound-detected liver lesions11180.830
Renal function
   Cr >140 mmol/L13170.393
Penn classification
   Penn Aa26440.802
   Penn Ab2346
   Penn Ac/Ab&c34
Myocardial infarction360.700
Echocardiogram
   Decreased LVEF710.003*
   Cardiac tamponade440.456
Surgical repair
   Within 24 h23380.727
   After 24 h2956
Cannulation strategy
   Femoral artery27510.936
   Axillary artery11
   Femoral artery & axillary artery2442
Operation durations
   CPB durations (min)268.5 (236.0–308.0)267.5 (245.0–296.0)0.933
   ACx durations (min)138.0 (121.5–161.0)142.5 (126.0–166.0)0.313
   CA durations (min)33.0 (20.0–37.5)31.0 (23.0–38.0)0.871
Automatic heart resuscitation10240.421
In-hospital outcome
   Composite major outcomes16130.018*
   Operative mortality870.158
   Stroke420.187
   Paraplegia220.616
   CRRT870.158
   Cardiac events640.167
Re-exploration131.000
Tracheotomy530.133
Atrial fibrillation630.069

*, P value <0.05. †, decreased LVEF was defined as a LVEF <50%. LVMI, left ventricular mass index; Cr, creatinine; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CRRT, continuous renal replacement therapy.

*, P value <0.05. †, decreased LVEF was defined as a LVEF <50%. LVMI, left ventricular mass index; Cr, creatinine; LVEF, left ventricular ejection fraction; CPB, cardiopulmonary bypass; ACx, aortic cross-clamping; CA, circulatory arrest; CRRT, continuous renal replacement therapy. Univariable logistic regression analyses were applied to evaluate the prognostic value of LVH, as showed in . Two main variables, LVH and LVMI, were analyzed respectively. The results indicated that LVH was the risk factor for postoperative CMO (OR: 2.8, 95% CI: 1.2–6.4, P=0.02), while increasing LVMI was associated with higher risks of postoperative CMO (OR: 1.2, 95% CI: 1.0–1.3, P<0.01) and cardiac events (OR: 1.2, 95% CI: 1.0–1.3, P<0.01). In addition, increasing LVMI was associated with increased risk of postoperative CRRT (OR: 1.2, 95% CI: 1.0–1.3, P<0.01), tracheotomy (OR: 1.2, 95% CI: 1.0–1.3, P=0.02) and atrial fibrillation (OR: 1.2, 95% CI: 1.0–1.3, P=0.01).
Table 7

Univariable logistic regression for postoperative outcomes after propensity score matching

CharacteristicsβS.E.WaldOR95% CIP value
LVH
   CMO1.0190.4245.7782.7691.207–6.3540.016*
    Operative mortality0.8150.5502.2002.2600.770–6.6360.138
    Stroke1.3440.8842.3103.8330.678–21.680.129
    Paraplegia0.6101.0150.3611.8400.252–13.460.548
    CRRT0.8150.5502.2002.2600.770–6.6360.138
    Cardiac events1.0770.6702.5792.9350.789–10.920.108
   Re-exploration-0.5201.1680.1980.5950.060–5.8670.656
   Tracheotomy1.1720.7522.4273.2270.739–14.090.119
   Atrial fibrillation1.3750.7303.5513.9570.946–16.540.060
LVMI (per 10 g·m−2)
   CMO0.1740.0608.4901.1901.059–1.3370.004*
    Operative mortality0.0880.0582.2861.0920.974–1.2230.131
    Stroke0.0960.0761.6031.1010.949–1.2780.205
    Paraplegia−0.0390.1660.0560.9620.695–1.3310.813
    CRRT0.1530.0596.8211.1651.039–1.3070.009*
    Cardiac events0.1800.0647.9861.1971.057–1.3560.005*
   Re-exploration0.0170.1300.0171.0170.789–1.3110.898
   Tracheotomy0.1450.0645.1091.1561.019–1.3100.024*
   Atrial fibrillation0.1540.0635.9941.1661.031–1.3180.014*

*, P<0.05. S.E., standard error; OR, odds ratio; CI, confidence interval; LVH, left ventricular hypertrophy; CMO, composite major outcomes; CRRT, continuous renal replacement therapy; LVMI, left ventricular mass index.

*, P<0.05. S.E., standard error; OR, odds ratio; CI, confidence interval; LVH, left ventricular hypertrophy; CMO, composite major outcomes; CRRT, continuous renal replacement therapy; LVMI, left ventricular mass index.

Prognostic nomogram models for postoperative outcomes in ATAAD patients

Based on data from 193 enrolled patients, nomograms of postoperative CMO and cardiac events in ATAAD patients were developed and established, as shown in and . Two models for postoperative CMO, model LVH and model LVMI, were developed (details were present in Table S2). Nomograms can be interpreted by adding up the points assigned to each variable, as indicated at the top of the point scale. The total point projected on the bottom scale represents the probability of postoperative CMO or cardiac events. Collinearity analyses of model LVH and model LVMI were performed, as showed in Table S3. Collinearity was not found in both models. showed the results of the calibration curve and decision curve analysis. Model LVH and model LVMI for postoperative CMO contained different indicators used in the nomogram. The area under curve was 0.825 (95% CI: 0.749–0.900) for Model LVH and 0.841 (95% CI: 0.776–0.905) for Model LVMI. The calibration curve and decision curve analysis indicated good clinical utility and consistency in both models in predicting postoperative CMO.
Figure 1

Nomograms for postoperative CMO. (A) nomogram for model LVH. (B) nomogram for model LVMI. Nomograms can be interpreted by adding up the points assigned to each variable, as indicated at the top of the point scale. The total point projected on the bottom scale represents the probability of postoperative CMO. CMO, composite major outcomes; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index; CPB, cardiopulmonary bypass.

Figure 2

Nomograms for postoperative cardiac events. (A) Nomogram for model LVH. (B) Nomogram for model LVMI. Nomograms can be interpreted by adding up the points assigned to each variable, as indicated at the top of the point scale. The total point projected on the bottom scale represents the probability of postoperative cardiac events. LVH, left ventricular hypertrophy; LVMI, left ventricular mass index; CPB, cardiopulmonary bypass.

Figure 3

Validity test of the models for postoperative composite major outcomes. Both two models had an appropriate fit and a good predictive ability. (A) Calibration curve with area under curve (95% CI). (B) Decision curve analysis. AUC, area under the curve; CI, confidence interval; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index.

Nomograms for postoperative CMO. (A) nomogram for model LVH. (B) nomogram for model LVMI. Nomograms can be interpreted by adding up the points assigned to each variable, as indicated at the top of the point scale. The total point projected on the bottom scale represents the probability of postoperative CMO. CMO, composite major outcomes; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index; CPB, cardiopulmonary bypass. Nomograms for postoperative cardiac events. (A) Nomogram for model LVH. (B) Nomogram for model LVMI. Nomograms can be interpreted by adding up the points assigned to each variable, as indicated at the top of the point scale. The total point projected on the bottom scale represents the probability of postoperative cardiac events. LVH, left ventricular hypertrophy; LVMI, left ventricular mass index; CPB, cardiopulmonary bypass. Validity test of the models for postoperative composite major outcomes. Both two models had an appropriate fit and a good predictive ability. (A) Calibration curve with area under curve (95% CI). (B) Decision curve analysis. AUC, area under the curve; CI, confidence interval; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index. In addition, two models for postoperative cardiac events, model LVH and model LVMI, were developed and presented in (details were present in Table S4). Collinearity analyses of model LVH and model LVMI for cardiac events were performed, as showed in Table S5. showed the results of the calibration curve and decision curve analysis. The area under curve was 0.782 (95% CI: 0.640–0.923) for Model LVH and 0.795 (95% CI: 0.643–0.947) for Model LVMI. The calibration curve and decision curve analysis indicated good clinical utility and consistency in both models for postoperative cardiac events.
Figure 4

Validity test of the models for postoperative cardiac events. Both two models had an appropriate fit and a good predictive ability. (A) Calibration curve with area under curve (95% CI). (B) Decision curve analysis. AUC, area under the curve; CI, confidence interval; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index.

Validity test of the models for postoperative cardiac events. Both two models had an appropriate fit and a good predictive ability. (A) Calibration curve with area under curve (95% CI). (B) Decision curve analysis. AUC, area under the curve; CI, confidence interval; LVH, left ventricular hypertrophy; LVMI, left ventricular mass index.

Discussion

Our main results were: (I) LVH was more prevalent in female patients with ATAAD. (II) Decreased left ventricular ejection fraction and cardiac tamponade were more prevalent in patients with LVH. (III) Increasing LVMI was associated with a higher risk of postoperative CMO and cardiac events. (IV) Nomogram models based on LVH/LVMI were developed for predicting postoperative CMO and cardiac events in ATAAD patients. As a disastrous medical condition, acute aortic dissection has a high mortality rate, despite the 30-day mortality rate having decreased to 12.6% from 18.1% in recent two decades (5). Hypertension is diagnosed in approximately 80% of aortic dissection patients, which promotes aortic degeneration and weakens the aortic wall (21). Previous study has highlighted that established hypertension is associated with target organ damage, in particular, the heart, kidney, brain, etc. (22). Ventricular hypertrophy is regarded as a result of uncontrolled hypertension. Increased BP leads to left ventricular remodeling, including concentric or eccentric LVH, which results in an increased risk of adverse cardiovascular diseases (15). Our results confirmed that LVH, which was diagnosed with an increased LVMI, was the independent risk factor for both postoperative CMO and cardiac events (showed in and Table S2). The major concerns about LVH are adverse cardiovascular events (including sudden death, ischemic heart disease, heart failure, arrhythmias, and stroke), and impaired left ventricular diastolic/systolic function that associated with geometric changes (15,23,24). Our results indicated that LVH was related to higher risk of CMO (30.9% vs. 15.2%, P=0.02) and new-onset postoperative atrial fibrillation (10.9% vs. 2.9%, P=0.03), especially in operative mortality (18.2% vs. 7.2%, P=0.04) before matching. These results differ from previous reports by Rocha et al. (25). Rocha et al. reported that left ventricular concentricity, instead of hypertrophy, was related to a higher risk of mortality (25). However, one-fourth of involved type A aortic dissection patients were subacute/chronic. The previous study has demonstrated the significant difference in early and late outcomes among acute and subacute/chronic aortic dissection (26). The different compositions of subjects involved might contribute to the different results. Since LVH was a binary variable with predefined diagnostic criteria, we then assessed the prognostic value of LVMI as a continuous variable, as showed in . After propensity score matching, the increasing LVMI was associated with worse outcomes, including postoperative CMO, CRRT, cardiac events, tracheotomy and atrial fibrillation. Our results suggested a better predictive value of LVMI as a continuous variable compared with binary defined LVH. Previously study demonstrated LVMI as a strong independent predictor of perioperative mortality after adult cardiac surgery, including coronary artery bypass grafting and transcatheter aortic valve replacement (27-29). Increased LVMI indicated poor controlled hypertension or unaware hypertension, which was associated with other hypertensive mediated organ damage, including renal damage and vascular dysfunction (30). In fact, decreased left ventricular ejection fraction and renal dysfunction were more prevalent in patients with LVH, as showed in and . The hypertensive mediated organ damage, such as ventricular hypertrophy and renal dysfunction, might lead to poor prognosis for patients underwent cardiovascular surgery performed with CPB (31). The results also indicated that the risk of CMO and cardiac events rapidly increased with prolonged CPB duration. Despite contemporary cardioprotective strategies having been well developed, ischemia-reperfusion injury and systemic inflammation that occurs during cardiopulmonary bypass may cause inevitable damage to the body (32). However, several studies reported that hypertrophic hearts are more vulnerable to ischemic–reperfusion injury, resulting in a larger infract area, higher peak cardiac troponin concentration and decreased LVEF (33-36). In addition, coronary microvascular dysfunction, which might present in some LVH patients, could also have an adverse effect on cardiomyocytes (37). Wever et al. reported that cardiac grafts with LVH from older donors contributed to a 6-fold increase in the risk of mortality after heart transplantation (38). Therefore, patients with LVH may be more susceptible to CPB-related injury due to their present cardiac abnormalities. In conclusion, we conducted a retrospectively study with a relatively large sample to evaluate the impact of LVH in ATAAD patients who received surgical repair. We found that LVH was more prevalent in female patients. In addition, we confirmed the prognostic value of LVH/LVMI in predicting postoperative CMO and cardiac events for ATAAD patients. We also developed nomogram models for predicting postoperative CMO and cardiac events in ATAAD patients based on LVH or LVMI, that may help clinicians estimate prognosis in the early period after surgery. Future studies are required to investigate LVH’s effects on long-term prognosis in ATAAD patients. This study has several limitations. First, our conclusion may not be generalizable to other populations and regions due to its single-central retrospective nature. Second, the study was based on data from acute type A aortic dissection patients who underwent surgical repairs. Therefore, results may be different in other aortic dissection patients. Third, genetic evidence is required for the diagnosis of hypertrophic cardiomyopathy. Therefore, subgroup analysis was not applied for hypertrophic cardiomyopathy. Patients with hypertrophic cardiomyopathy may differ in outcomes. In addition, LVH contributes to an increased risk of heart failure, which might result in poorer prognosis. Lastly, our model lacked external validation, therefore it should be regarded as a preliminary tool. The article’s supplementary files as
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Authors:  O Wever Pinzon; G Stoddard; S G Drakos; E M Gilbert; J N Nativi; D Budge; F Bader; R Alharethi; B Reid; C H Selzman; M D Everitt; A G Kfoury; J Stehlik
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