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ORIGINAL RESEARCH article

Front. Surg., 07 June 2022
Sec. Cardiovascular Surgery

Elevated Admission Cardiac Troponin I Predicts Adverse Outcomes of Acute Type B Aortic Dissection after Endovascular Treatment

\r\nKaiwen Zhao&#x;Kaiwen Zhao1†Hongqiao Zhu&#x;Hongqiao Zhu1†Lei Zhang&#x;Lei Zhang1†Junjun LiuJunjun Liu2Yifei Pei&#x;Yifei Pei1†Jian Zhou
Jian Zhou1*Zaiping Jing
&#x;\r\nZaiping Jing1*†
  • 1Department of Vascular Surgery, the First Affiliated Hospital of the Navy Medical University, Shanghai, China
  • 2Department of Vascular Surgery, the First Affiliated Hospital of Qingdao University, Qingdao, China

Background: There is a lack of evidence about the predictive role of serum cardiac troponin I (cTnI) on the long-term adverse outcomes of acute type B aortic dissection (aTBAD) patients after thoracic endovascular aortic repair (TEVAR). In this study, we identified whether cTnI was an independent risk factor of 5-year adverse outcomes for aTBAD patients after TEVAR.

Methods: We reviewed consecutive aTBAD patients without previous heart disease who were admitted for TEVAR. The total study population was divided into the cTnI(+) group (≥0.03 ng/mL) and the cTnI(−) group (<0.03 ng/mL) according to the time-dependent receiver operating characteristic curve analysis. The differences in clinical characteristics, operative details and clinical outcomes were compared between the two groups.

Results: There was no difference in age and male prevalence between the two groups. Compared with the cTnI(−) group, the incidence of chronic kidney disease was higher in patients with cTnI ≥0.03 ng/mL. In addition, the cTnI(+) group presented with more frequent premature beats and non-myocardial-infarction ST-T segment changes. In terms of laboratory examinations, white blood cell counts, neutrophil counts, serum D-dimer and serum fibrin degradation products showed an increase in the cTnI(+) group, while lymphocyte and platelet counts showed a decrease in these patients. Patients with elevated cTnI suffered from increased risks of 5-year aortic-related adverse events (hazard ratio, HR = 1.822, 95% confidence interval, CI: 1.094–3.035; p = 0.021) and all-cause mortality (HR = 4.009, 95% CI: 2.175–7.388; p < 0.001).

Conclusion: Among aTBAD patients without previous heart disease, preoperative elevated cTnI identified patients at an increased risk of long-term adverse outcomes after TEVAR.

The Number of IRB Approval

This retrospective study was approved by the Institutional Review Board of Shanghai Changhai Hospital (CHEC-Y2017, March 1, 2017). Written informed consent was obtained from all patients.

Brief Summary

We conducted a retrospective study of 403 acute type B aortic dissection patients without previous heart disease after thoracic endovascular aortic repair to assess the relationship between cardiac troponin I and their outcomes. We identified that the elevation of cardiac troponin I was independently associated with a high risk of 5-year aortic-related adverse events and all-cause mortality.

Introduction

Acute aortic dissection (aAD) is one of the most lethal conditions that is responsible for a number of aortic-related deaths (1). The incidence of aAD is about 3–4 per 100,000 individuals every year (2). According to the Stanford classification, aAD was categorized into acute ascending aortic dissection (aTAAD) and descending aortic dissection (aTBAD) (3). According to the literature, early thoracic endovascular aortic repair (TEVAR) could improve the rate of favorable aortic remodeling of aTBAD, which is protective against aneurysm formation (4). However, patients after TEVAR put up with the risk of unanticipated adverse events (5). Although multiple studies have identified the potential risks after TEVAR, it is a conundrum to find appropriate indicators to predict the prognosis of aTBAD patients after TEVAR.

Elevated admission cardiac troponin I (cTnI) has been proved to predict the short-term all-cause mortality of TAAD patients (6). However, there is little evidence about whether aTBAD could induce non-infarcted cardiac damage and whether aTBAD patients with higher preoperative cTnI suffer from worse outcomes after TEVAR.

In this context, we performed a single-center retrospective cohort study to investigate (1) the prevalence and clinical characteristics of aTBAD patients with elevated preoperative cTnI; (2) the difference in long-term outcomes between aTBAD patients with elevated preoperative cTnI.

Methods

Study Population

This is a single-center retrospective study of consecutive aTBAD patients receiving TEVAR in Changhai Hospital from the period January 1, 2003 to December 31, 2016. Ethics approval was obtained from the Institutional Review Board of Shanghai Changhai Hospital (CHEC-Y2017, March 1, 2017). Individual informed consent was obtained from each patient.

The exclusion criteria are as follows: obvious ST-segment elevations (≥0.2 mV) or depressions (≥0.2 mV) in two adjacent leads (21 cases); a history of recent myocardial infarction or undergoing percutaneous coronary intervention (12 cases); a history of atrial fibrillation or heart failure (HF) (47 cases); previous or concomitant procedures including thoracic aortic, abdominal aortic or cardiac surgery (5 cases); Marfan’s syndrome (3 cases); Takayasu arteritis (1 cases), subacute or chronic TBAD at the time of admission to our center (204 cases), end-stage renal diseases (6 cases) and patients without an examination of preoperative cTnI (18 cases).

Study Protocol

The definition of aTBAD was according to the 2020 SVS/STS guidelines (7). The data of baseline characteristics, intra-operative details, medications at discharge, electrocardiograph, echocardiogram and computed tomographic angiogram (CTA) findings were retrospectively collected.

After admission, patients were administered with strict hypertension control according to the guidelines (4). Sedative and pain-relieving medications were given when necessary. An emergency TEVAR was conducted under the condition of malperfusion syndrome or hemodynamic instability (8). The timing of an elective procedure (the duration from onset to endovascular treatment: <24 h is the hyperacute phase, 1 day–14 days is the acute phase and 15–90 days is the subacute phase) was determined according to the experience of the surgeons (9). The hybrid approach was indicated for thoracic aortic diseases, including the aortic arch, and it had the potential to considerably improve results (10). The adjunctive technique with distal bare stent implantation had the advantages of reducing the partial thoracic false lumen thrombosis rate and the rates of new dissection and reintervention (11). The definition of a successful TEVAR was a complete exclusion of the proximal initial tear without any complications such as type I endoleak, type III endoleak and migration. Type II endoleaks were suggested to manage conservatively and monitor closely (1).

Serum cTnI was measured on admission and by Access Second-generation AccuTnI (Beckman Coulter, Brea, CA, USA). A cut-off value of cTnI was considered to be 0.03 ng/mL for the screening of acute myocardial infarction with 94% sensitivity and 87% specificity (12, 13). To examine the cut-off value of cTnI for predicting aortic-related adverse events (ARAEs), a time-dependent receiver operating characteristic (ROC) curve analysis was performed. The cut-off value of cTnI for 1-year all-cause mortality was 0.026, which was close to 0.03 (Figure 3A). Based on this result, patients were then assigned to the cTnI(−) group (<0.03 ng/mL) and the cTnI(+) group (≥0.03 ng/mL).

We collected the patients’ follow-up information through the electronic hospital and outpatient record system. Patients unable to visit their doctors were contacted by telephone. The follow-up deadline was February 2021.

Primary outcomes were defined as any ARAE at a 5-year follow-up: endoleak (type I and III), aortic dilation [unshrink type II endoleak and distal aortic segmental enlargement (11)], retrograde AAD (RTAD), rupture and malperfusion after TEVAR (11). Endoleak was described as the continuation of blood flow outside the lumen of the endoluminal graft but inside the aneurysm sac, most likely due to partial aneurysm exclusion from the circulation (14). Any new ascending, arching or descending dissection that was continuous with and proximal to the original presenting anatomy was considered a retrograde dissection (15). Rupture was defined as the extravasation of blood outside the confines of the aortic adventitia, which may be free or contained by the mediastinal pleura that surrounds the aorta (7). Malperfusion was defined as insufficient blood flow to the end organs as a result of dissection-related blockage (16). Secondary outcomes were MACCEs and all-cause mortality at a 5-year follow-up. Major adverse cardiovascular and cerebrovascular events (MACCEs) were defined as a composite of myocardial infarction, stroke and any coronary revascularization (17).

Statistical Analysis

Data were presented as n (%) if the values were categorical variables, and mean ± standard deviations if the values were continuous variables. The Chi-square test or Fisher exact test was utilized to compare categorical variables, while student’s t-test was utilized to compare continuous variables.

Univariate associations between all clinical variables and ARAEs, MACCEs and all-cause mortality were calculated by Cox analyses. Variables with a p < 0.1 on univariate analyses were entered as candidate factors (Supplementary Material Table S1). Highly intercorrelated variables were excluded and multivariate Cox analyses were conducted utilizing the backward elimination method (p < 0.05). For each event of interest, the variance inflation factor ≥10 and clinical representability were taken into consideration. Decision curve analysis was used to evaluate the Cox regression models for ARAEs, MACCEs and all-cause mortality (18). Kaplan–Meier curves were used to investigate the differences of ARAEs, MACCEs and all-cause mortality between the two groups. An un-linear regression model was applied to examine the relationship between 5-year ARAEs and cTnI utilizing a smoothing function. All of the tests were 2-sided, and a value of p < 0.05 was accepted as statistically different. Statistical package R version 3.6.3 (R project, Vienna, Austria) was utilized to analyze the data.

Results

Baseline Characteristics

During the study period, 720 patients with TBAD received TEVAR in our center. After exclusion, 403 patients were eligible for study. The median values and ranges of cTnI in the cTnI(+) and cTnI(−) groups were 0.060 (0.030–7.300) μg/mL and 0.012 (0.001–0.029) μg/mL, respectively (p < 0.001) (Table 1). The frequency distribution of cTnI is presented in Figure 1. The mean follow-up time is 752 ± 622 days in the cTnI(+) group and 629 ± 618 days in the cTnI(−) group (p = 0.116). Table 1 demonstrates the baseline characteristics of the study population stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL. Among all patients, 317 (78.66%) had cTnI concentrations <0.03 ng/mL and 86 (21.34%) ≥0.03 ng/mL. Male prevalence was not significantly different between the two groups [cTnI(+) vs cTnI(−), 81.1% vs 82.6%, p = 0.754]. The mean age of the cTnI(+) and cTnI(−) groups was 59.8 ± 16.3 and 60.9 ± 12.4, respectively (p = 0.5). No differences were found in terms of the body mass index, smoking and drinking between the two groups (p = 0.783, 0.129 and 0.754 respectively). The differences in the incidences of hypertension, diabetes, previous stroke and chronic obstructive pulmonary disease (COPD) between the two groups were insignificant (all p > 0.05). The incidence of chronic kidney disease (CKD) in the study population was 5.7%, and the incidence of CKD was significantly higher in the cTnI(+) group than in the TnI(−) group [cTnI(+) vs cTnI(−), 11.6% vs 3.8%, p = 0.005]. There was also no difference in the presenting symptoms between the two groups (all p > 0.05). No difference was observed in the admission systolic blood pressure or diastolic blood pressure between the two groups (p = 0.475 and 0.541). Furthermore, 22 cTnI(+) and 48 cTnI(−) patients had myocardial ischemia-like ECGs (ST-T segment changes) (25.6% vs 15.1%, p = 0.023). The cTnI(+) group had more frequent premature beat manifestations (12.8% vs 4.7%, p = 0.007).

FIGURE 1
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Figure 1. Frequency distribution histogram of cTnI in the study population (n = 403). cTnI, cardiac troponin I.

TABLE 1
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Table 1. Baseline characteristics of acute type B aortic dissection patients stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL

Detailed Information of CTA and Echocardiography

Table 2 presents the parameters of CTA and echocardiography in the two groups. The imaging results showed that arch type, diameters of maximum descending aorta, length of aortic dissection, proximal thrombosis of false lumen, malperfusion, diameters of ascending aorta, aortic root and left ventricular ejection fraction (LVEF) had no statistically differences (all p > 0.05). Meanwhile, pericardial effusion (12.8% vs 6.3%, p = 0.045) and pleural effusion (53.5% vs 33.1%, p < 0.001) were more common in cTnI(+) patients than those in cTnI(−) patients.

TABLE 2
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Table 2. Characteristics of CTA and echocardiography stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL

Endovascular Procedure and Antihypertensive Drugs

In the present study, all patients received TEVAR in the acute (14 days) or subacute (15–30 days) phase (7). During the endovascular procedure, 65 (16.1%) patients received the chimney technique, 46 (11.4%) the adjunctive procedure and 6 (1.5%) the hybrid approach (Table 3). Medications at discharge mainly included ACEI, ARB, β-blocker, CCB and diuretic. No obvious difference was found in the above antihypertensive drugs between the cTnI(+) and the cTnI(−) groups (all p > 0.05) (Table 3).

TABLE 3
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Table 3. Endovascular procedure and antihypertensive drugs stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL

Clinical Outcomes

During the 1-year follow-up, the rates of missing data for overall survival, ARAEs and MACCEs were 32.1%, 35.2% and 41.4%. The 5-year missing data for overall survival, ARAEs and MACCEs were 85.4%, 80.4% and 93.1%. The Kaplan–Meier curves between the two groups are shown in Figure 2. Log-rank tests revealed a significant decreased rate of overall survival (p < 0.001) and freedom from ARAEs (p = 0.005) in the cTnI(+) group. Landmark analysis of MACCEs found that in the first three years, the difference between the two groups was significant [the cumulative incidence of 3-year MACCEs, cTnI(+) vs cTnI(−), 13.3% (2.0–23.4) vs 6.0% (2.3–9.6), p = 0.024].

FIGURE 2
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Figure 2. Kaplan–Meier curves. Survival curves for aTBAD patients after TEVAR, stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL. The differences in outcomes between the two groups were estimated by using the log-rank test. (A) The freedom from 5-year ARAEs between the two groups [cTnI(−) vs cTnI(+), 74.6% (67.6–82.3) vs 57.7% (44.1–75.6), p = 0.005]; (B) The freedom from 5-year MACCEs between the two groups [cTnI(−) vs cTnI(+), 87.8% (80.4–95.8) vs 81.2% (68.1–96.9), p = 0.058]; (C) The overall survival rates between the two groups [cTnI(−) vs cTnI(+), 87.5% (81.9–93.4) vs 64.9% (52.7–79.9), p < 0.001]. aTBAD, acute type B aortic dissection; TEVAR, thoracic endovascular aortic repair; cTnI, cardiac troponin I; ARAEs, aortic-related adverse events; MACCEs, major adverse cardiovascular and cerebrovascular events.

Time-dependent ROC curve analyses were performed to investigate the predictive value of cTnI for ARAEs, all-cause mortality and MACCEs in aTBAD patients after TEVAR. The areas under the curve (AUC) of cTnI for predicting 1-year, 2-year and 4-year ARAEs were 0.609 (95%CI: 0.522–0.696), 0.579 (95%CI: 0.495–0.664) and 0.681 (95%CI: 0.587–0.775), respectively (Figure 3A). Figures 3B, C show the predictive ability of cTnI for all-cause mortality and MACCEs.

FIGURE 3
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Figure 3. Time-dependent ROC curve analysis for cTnI predicting all-cause mortality. ROC, receiver operating characteristic.

In the univariate Cox regression model, we analyzed the association between clinical variables and 5-year ARAEs, MACCEs and all-cause mortality (Table S1). After adjustment for cofounding factors, cTnI was confirmed to independently predict the 5-year ARAEs (hazard ratio, HR: 1.822, 95% confidence interval, CI: 1.094–3.035; p = 0.021). However, cTnI failed to predict the risk of 5-year MACCEs in the multivariable Cox regression model (HR: 2.579, 95%CI: 0.991–6.716; p = 0.052). We also found that cTnI (HR: 4.009, 95%CI: 2.175–7.388; p < 0.001) could independently predict the risk of 5-year mortality in patients with aTBAD after TEVAR.

As shown in Figure 4A, the net benefit of the model including both cTnI and CKD was similar to that of the model of cTnI or CKD. A higher net benefit for 5-year all-cause mortality was achieved in the model with CKD than in the model with cTnI or CKD. (Figure 4B). There was no obvious difference in the net benefit among the three models (cTnI vs CKD vs cTnI + CKD) (Figure 4C).

FIGURE 4
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Figure 4. Decision Curve Analysis. (A) The decision curve analysis for 5-year ARAEs; (B) decision curve analysis for 5-year MACCEs; (C) decision curve analysis for 5-year all-cause mortality.

The unadjusted and adjusted log relative risks (logRRs) for 5-year ARAEs by different levels of cTnI are demonstrated in Figure 5. This implied that the level of cTnI was positively correlated with a higher risk of ARAEs even after adjustment.

FIGURE 5
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Figure 5. Fitted Curves and Residual Plots. The unadjusted and adjusted logRRs for 5-year ARAEs by different levels of cTnI. (A) Unadjusted logRR for 5-year ARAEs by the levels of cTnI. (B) Frequency histogram of residual plots in an unadjusted best-fit plot. (C) Adjusted logRR for 5-year ARAEs by the levels of cTnI. Adjusted curves were generated using the Cox model as the average of the model-based curves at observed profiles for the following covariates: age, sex, body mass index, chronic kidney disease, D-dimer and neutrophil counts. (D) Frequency histogram of residual plots in an adjusted best-fit plot. logRR, log relative risk; ARAEs, aortic-related adverse events; cTnI, cardiac troponin I.

Discussion

In the present study, we found that the elevation of cTnI concentrations on admission was associated with an increased risk of 5-year ARAEs and all-cause mortality in aTBAD patients after TEVAR (Table 4). However, there was no significant association between cTnI and MACCEs in a 5-year follow-up. There might be three reasons leading to this pattern. First, it may be attributed to the exclusion of patients with organic heart disease. Second, the landmark analysis indicated that in the first 3 years, the difference in MACCEs was significant between the two groups. The difference eliminated in the following 2 years may result from ageing in the cTnI(−) group. Third, MACCEs in the present study did not consist of HF (19). Interestingly, a community-based study showed that 1,089 asymptomatic elderly men with cTnI concentrations ≥0.03 ng/mL were associated with a hazard ratio of 5.25 for HF (20).

TABLE 4
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Table 4. Multivariable Cox analyses of the study population.

Our study used a time-dependent ROC curve analysis to determine the cut-off value of cTnI for ARAEs and all-cause mortality. Surprisingly, the cut-off values of cTnI for 1-year ARAEs and all-cause mortality were 0.026 and 0.029, which were very close to 0.03. In Li et al.’s study (21), the cut-off value of high-sensitivity cardiac troponin T for in-hospital death in aTAAD patients was 0.042, which was higher than 0.014. In our study, the major cause of death in TBAD patients the first year after TEVAR was aortic-related mortality (69.7%), which was consistent with that of Hysa et al.’s study (22). In this context, the cut-off value of cTnI 0.029 may predict 1-year aortic-related mortality after TEVAR.

cTnI is a biomarker of myocardial injury. It was confirmed that TAAD patients with elevated cTnI concentrations had a 4-fold higher risk of death compared with patients with lower cTnI concentrations (6). The proximal intimal flap of ascending aortic dissection may cover coronary ostia, which could reduce blood flow and induce acute myocardial infarction (23). What is worse, severe aortic regurgitation caused by TAAD may also result in ischemia of cardiomyocytes. Because the distance from the heart to the descending aorta is quite long, the damage to cardiomyocytes caused by aTBAD is often ignored. To our best knowledge, the present study is the first retrospective analysis to identify the potential predictive role of elevated cTnI in aTBAD patients after TEVAR, the possible mechanisms of which are as follows:

First, aTBAD patients presenting with higher cTnI concentrations may have cardiac-damage-related comorbidities such as heart diseases and CKD. For the purposes of cofounder control, we excluded those patients having any previous diagnosed organic heart diseases. The results in our study showed that the proportion of patients with CKD is significantly higher in the cTnI(+) group. A previous study has identified that cTnI may detect subclinical myocardial cell damage during hemodialysis (24). Left ventricular hypertrophy formation is also highly prevalent in hemodialysis patients with CKD, which may be responsible for elevated cTnI concentrations following the development of aTBAD (25). Moreover, high levels of homocysteine, lipid metabolic abnormalities and the accumulation of a large number of toxins (guanidine, phenols, indole, fatty amine) in patients with CKD trigger tremendous stimuli on myocardial cells (26), which may interfere with aortic remodeling and lead to the occurrence of ARAEs. Despite this, when adjusted for the presence of CKD in multivariate Cox analysis, cTnI remained an independent risk factor in 5-year ARAEs and all-cause mortality.

Second, recent research articles suggest that AD is a complex multifactorial disease, in which inflammation and thrombosis play important roles (27). Garcia et al. found that inflammation during sepsis may directly induce cardiomyocyte damage (28). When inflammatory factors are released, the expression of mitochondrial function–related genes and the pathway of cardiomyocyte apoptosis are activated, and cardiac cTnI will increase significantly (29). Specifically, interleukin-1 beta (IL-1β), IL-6 and IL-8 heighten inflammatory response, eventually resulting in exacerbated myocardial damage (30). Our results showed that the white blood counts, neutrophil counts and D-dimer were significantly higher in the cTnI(+) group than that in the cTnI(−) group. Collectively, inflammation may be a key factor underlying the association between myocardial damage and aTBAD.

Third, stress induces extensive biological changes, including the release of inflammatory cytokines and changes in relative organ functions. Accompanied by severe pain and hemodynamic instability, the onset of acute AD can activate the sympathoadrenal system and induce abundant catecholamine release (31, 32). A previous study illustrated that IL-6 is the dominant cytokine in response to acute stress (33). Psychological stress, featured with increased IL-6, is a confirmed risk factor in people with heart diseases (3436). Therefore, stress may be another pathway for aTBAD inducing cardiomyocyte damage.

Hemodynamic instability caused by myocardial injury may result in adverse events in TAAD patients with elevated cTnI (6). Although we found that cTnI(+) patients were predisposed to have abnormal ECG presentation like premature beat and ST segment changes, there were no significant differences in terms of LVEF, systolic or diastolic blood pressure between the cTnI(+) and the cTnI(−) groups. This phenomenon indicates that a certain degree of cardiomyocyte damage may occur before any abnormal cardiac function and the appearance of hemodynamics. Subgroup analysis revealed that elevated cTnI was mainly associated with ARAEs consisting of malperfusion and rupture (Table 5). Local inflammation and thrombosis might play an important role in the mechanisms of malperfusion and rupture after TEVAR. Studies have shown that the recruitment and activation of neutrophils will lead to aortic rupture (37). Hyperinflammatory states will aggravate the degeneration of elastin, extracellular matrix and the apoptosis of smooth muscle cells, making the aortic wall more fragile and, thus, prone to avulse and rupture (38). Taken together, increased cTnI may have the ability to reflect severe hemodynamic conditions in aTBAD patients without previous heart diseases.

TABLE 5
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Table 5. Details of 5-year ARAEs stratified with cTnI <0.03 ng/mL and ≥0.03 ng/mL.

In summary, early preoperative monitoring of serum cTnI may facilitate risk stratification and follow-up of aTBAD patients after TEVAR. Cardio-preventive strategies are necessary to improve the survival rates of aTBAD patients after TEVAR.

Limitations

In this study, there were some limitations to note. First, because the study was a single-center design and retrospective one, it was prone to selection bias. Second, the mean follow-up duration was slightly longer than 2 years; a longer follow-up period is needed for performing a more complete assessment.

Conclusion

cTnI provided an important predictive value of the poor outcome in aTBAD patients after TEVAR, and cTnI ≥0.03 ng/mL was independently associated with increased 5-year ARAEs and all-cause mortality.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by This retrospective study was approved by the Institutional Review Board of Shanghai Changhai Hospital (CHEC-Y2017, March 1, 2017). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

KWZ was involved in investigation and writing; HQZ was involved in writing and statistical analysis, LZ was involved in writing and providing data; JJL was involved in only providing data; YFP was involved in editing and supervision; JZ was involved in writing, review, editing and supervision; ZPJ did the conceptualization and was in charge of project administration. All authors contributed to the article and approved the submitted version.

Funding

The study, collection, analysis, interpretation of data, and preparation of the manuscript were supported by the source of funding as follows: the National Natural Science Foundation of China (81870366) and the Science and Technology Innovation Action Plan in Shanghai (20JC1418700).

Supplementary Material

The Supplementary Material for this article can be found online at: https://journal.frontiersin.org/articles/10.3389/fsurg.2022.789954/full#supplementary-material.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Erbel R, Aboyans V, Boileau C, Boileau C, Bossone E, Di Bartolomeo R, et al. 2014 ESC guidelines on the diagnosis and treatment of aortic diseases: document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult the task force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC). Eur Heart J. (2014) 35:2873–926. doi: 10.1093/eurheartj/ehu281

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Clouse WD, Hallett JW, Schaff HV, Spittell PC, Rowland CM, Ilstrup DM, et al. Acute aortic dissection: population-based incidence compared with degenerative aortic aneurysm rupture. Mayo Clin Proc. (2004) 79:176–80. doi: 10.4065/79.2.176

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Nienaber CA, Clough RE, Sakalihasan N, Suzuki T, Gibbs R, Mussa F, et al. Aortic dissection. Nat Rev Dis Primers. (2016) 2:16053. doi: 10.1038/nrdp.2016.53

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Tadros RO, Tang GHL, Barnes HJ, Mousavi I, Kovacic JC, Faries P, et al. Optimal treatment of uncomplicated type B aortic dissection. J Am Coll Cardiol. (2019) 74:1494–504. doi: 10.1016/j.jacc.2019.07.063

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Nienaber CA, Rousseau H, Eggebrecht H, Kische S, Fattori R, Rehders TC, et al. Randomized comparison of strategies for type B aortic dissection: the INvestigation of STEnt Grafts in Aortic Dissection (INSTEAD) trial. Circulation. (2009) 120:2519–28. doi: 10.1161/CIRCULATIONAHA.109.886408

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Newby LK, Jesse RL, Babb JD, Christenson RH, De Fer TM, Diamond GA, et al. ACCF 2012 expert consensus document on practical clinical considerations in the interpretation of troponin elevations: a report of the American College of Cardiology Foundation task force on Clinical Expert Consensus Documents. J Am Coll Cardiol. (2012) 60:2427–63. doi: 10.1016/j.jacc.2012.08.969

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lombardi JV, Hughes GC, Appoo JJ, Bavaria JE, Beck AW, Cambria RP, et al. Society for Vascular Surgery (SVS) and Society of Thoracic Surgeons (STS) reporting standards for type B aortic dissections. J Vasc Surg. (2020) 71:723–47. doi: 10.1016/j.jvs.2019.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Hagan PG, Nienaber CA, Isselbacher EM, Bruckman D, Karavite DJ, Russman PL, et al. The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease. JAMA. (2000) 283:897–903. doi: 10.1001/jama.283.7.897

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Xie E, Yang F, Liu Y, Xue L, Fan R, Xie N, et al. Timing and outcome of endovascular repair for uncomplicated type B aortic dissection. Eur J Vasc Endovasc Surg. (2021) 61:788–97. doi: 10.1016/j.ejvs.2021.02.026

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Czerny M, Schmidli J, Adler S, van den Berg JC, Bertoglio L, Carrel T, et al. Editor’s choice – current options and recommendations for the treatment of thoracic aortic pathologies involving the aortic arch: an expert consensus document of the European Association for Cardio-Thoracic Surgery (EACTS) & the European Society for Vascular Surgery (ESVS). Eur J Vasc Endovasc Surg. (2019) 57:165–98. doi: 10.1016/j.ejvs.2018.09.016

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Liu J, Yan C, Li L, Feng H, Xie S, Zhang G, et al. Extended stent coverage decreases distal aortic segmental enlargement after the endovascular repair of acute complicated type B aortic dissection: a multi-center retrospective study of 814 patients. J Endovasc Ther. (2022) 29:96–108. doi: 10.1177/15266028211036479

CrossRef Full Text | Google Scholar

12. Lam Q, Black M, Youdell O, Spilsbury H, Schneider H-G. Performance evaluation and subsequent clinical experience with the Abbott Automated Architect STAT Troponin-I assay. Clin Chem. (2006) 52:298–300. doi: 10.1373/clinchem.2005.057216

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Storrow AB, Christenson RH, Nowak RM, Diercks DB, Singer AJ, Wu AHB, et al. Diagnostic performance of cardiac Troponin I for early rule-in and rule-out of acute myocardial infarction: results of a prospective multicenter trial. Clin Biochem. (2015) 48:254–9. doi: 10.1016/j.clinbiochem.2014.08.018

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Fillinger MF, Greenberg RK, McKinsey JF, Chaikof EL. Reporting standards for thoracic endovascular aortic repair (TEVAR). J Vasc Surg. (2010) 52:1022–33.e5. doi: 10.1016/j.jvs.2010.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zhang R, Zhou J, Feng J, Zhao Z, Liu J, Li Z, et al. Inducing false lumen thrombosis for retrograde type A aortic dissection. J Thorac Cardiovasc Surg. (2017) 153:57–65. doi: 10.1016/j.jtcvs.2016.09.022

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Yang B, Rosati CM, Norton EL, Kim KM, Khaja MS, Dasika N, et al. Endovascular fenestration/stenting first followed by delayed open aortic repair for acute type A aortic dissection with malperfusion syndrome. Circulation. (2018) 138:2091–103. doi: 10.1161/CIRCULATIONAHA.118.036328

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Gaudino M, Di Franco A, Alexander JH, Bakaeen F, Egorova N, Kurlansky P, et al. Sex differences in outcomes after coronary artery bypass grafting: a pooled analysis of individual patient data. Eur Heart J. (2021) 43:18–28. doi: 10.1093/eurheartj/ehab504

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. (2006) 26:565–74. doi: 10.1177/0272989X06295361

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Holm NR, Mäkikallio T, Lindsay MM, Spence MS, Erglis A, Menown IBA, et al. Percutaneous coronary angioplasty versus coronary artery bypass grafting in the treatment of unprotected left main stenosis: updated 5-year outcomes from the randomised, non-inferiority NOBLE trial. Lancet. (2020) 395:191–9. doi: 10.1016/S0140-6736(19)32972-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Sundström J, Ingelsson E, Berglund L, Zethelius B, Lind L, Venge P, et al. Cardiac troponin-I and risk of heart failure: a community-based cohort study. Eur Heart J. (2009) 30:773–81. doi: 10.1093/eurheartj/ehp047

CrossRef Full Text | Google Scholar

21. Li G, Wu X-W, Lu W-H, Cheng J, Wu X-Y, Ai R, et al. High-sensitivity cardiac troponin T: a biomarker for the early risk stratification of type-A acute aortic dissection? Arch Cardiovasc Dis. (2016) 109:163–70. doi: 10.1016/j.acvd.2015.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Hysa L, Khor S, Starnes BW, Chow WB, Sweet MP, Nguyen J, et al. Cause-specific mortality of type B aortic dissection and assessment of competing risks of mortality. J Vasc Surg. (2021) 73:48–60.e1. doi: 10.1016/j.jvs.2020.04.499

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Salmasi MY, Hartley P, Hussein M, Jarral O, Pepper J, Nienaber C, et al. Diagnosis and management of acute Type-A aortic dissection in emergency departments: results of a UK national survey. Int J Cardiol. (2020) 300:50–9. doi: 10.1016/j.ijcard.2019.09.074

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Chuang AM-Y, Nguyen MT, Kung W-M, Lehman S, Chew DP. High-sensitivity troponin in chronic kidney disease: considerations in myocardial infarction and beyond. Rev Cardiovasc Med. (2020) 21:191–203. doi: 10.31083/j.rcm.2020.02.17

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Chiu DYY, Green D, Abidin N, Sinha S, Kalra PA. Cardiac imaging in patients with chronic kidney disease. Nat Rev Nephrol. (2015) 11:207–20. doi: 10.1038/nrneph.2014.243

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Romagnani P, Remuzzi G, Glassock R, Levin A, Jager KJ, Tonelli M, et al. Chronic kidney disease. Nat Rev Dis Primers. (2017) 3:17088. doi: 10.1038/nrdp.2017.88

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Nagareddy P, Smyth SS. Inflammation and thrombosis in cardiovascular disease. Curr Opin Hematol. (2013) 20:457–63. doi: 10.1097/MOH.0b013e328364219d

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Garcia MA, Rucci JM, Thai KK, Lu Y, Kipnis P, Go AS, et al. Association between troponin I levels during sepsis and postsepsis cardiovascular complications. Am J Respir Crit Care Med. (2021) 204:557–65. doi: 10.1164/rccm.202103-0613OC

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Zeng X-M, Liu D-H, Han Y, Huang Z-Q, Zhang J-W, Huang Q. Assessment of inflammatory markers and mitochondrial factors in a rat model of sepsis-induced myocardial dysfunction. Am J Transl Res. (2020) 12:901–11. doi: 10.1177/15266028211036479

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Gawaz M. Role of platelets in coronary thrombosis and reperfusion of ischemic myocardium. Cardiovasc Res. (2004) 61:498–511. doi: 10.1016/j.cardiores.2003.11.036

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Hsue PY, Salinas CL, Bolger AF, Benowitz NL, Waters DD. Acute aortic dissection related to crack cocaine. Circulation. (2002) 105:1592–5. doi: 10.1161/01.cir.0000012524.44897.3a

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Svensson LG. Limited intimal aorta tears: royalty torn asunder, and a nation was created. J Am Coll Cardiol. (2018) 71:2786–9. doi: 10.1016/j.jacc.2018.03.530

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Qing H, Desrouleaux R, Israni-Winger K, Mineur YS, Fogelman N, Zhang C, et al. Origin and function of stress-induced IL-6 in murine models. Cell. (2020) 182:372–87.e14. doi: 10.1016/j.cell.2020.05.054

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hammadah M, Sullivan S, Pearce B, Al Mheid I, Wilmot K, Ramadan R, et al. Inflammatory response to mental stress and mental stress induced myocardial ischemia. Brain Behav Immun. (2018) 68:90–7. doi: 10.1016/j.bbi.2017.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sullivan S, Hammadah M, Wilmot K, Ramadan R, Pearce BD, Shah A, et al. Young women with coronary artery disease exhibit higher concentrations of interleukin-6 at baseline and in response to mental stress. J Am Heart Assoc. (2018) 7:e010329. doi: 10.1161/JAHA.118.010329

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Moazzami K, Wittbrodt MT, Lima BB, Nye JA, Mehta PK, Pearce BD, et al. Higher activation of the rostromedial prefrontal cortex during mental stress predicts major cardiovascular disease events in individuals with coronary artery disease. Circulation. (2020) 142:455–65. doi: 10.1161/CIRCULATIONAHA.119.044442

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Anzai A, Shimoda M, Endo J, Kohno T, Katsumata Y, Matsuhashi T, et al. Adventitial CXCL1/G-CSF expression in response to acute aortic dissection triggers local neutrophil recruitment and activation leading to aortic rupture. Circ Res. (2015) 116:612–23. doi: 10.1161/CIRCRESAHA.116.304918

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Jia L-X, Zhang W-M, Zhang H-J, Li T-T, Wang Y-L, Qin Y-W, et al. Mechanical stretch-induced endoplasmic reticulum stress, apoptosis and inflammation contribute to thoracic aortic aneurysm and dissection: CHOP deficiency prevents thoracic aortic aneurysm/dissection. J Pathol. (2015) 236:373–83. doi: 10.1002/path.4534

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: acute type B aortic dissection, cardiac troponin I, thoracic endovascular aortic repair, aortic-related adverse events, risk factors

Citation: Zhao K, Zhu H, Zhang L, Liu J, Pei Y, Zhou J and Jing Z (2022) Elevated Admission Cardiac Troponin I Predicts Adverse Outcomes of Acute Type B Aortic Dissection after Endovascular Treatment. Front. Surg. 9:789954. doi: 10.3389/fsurg.2022.789954

Received: 7 December 2021; Accepted: 3 May 2022;
Published: 7 June 2022.

Edited by:

Francesco Formica, University of Parma, Italy

Reviewed by:

Saeid Hosseini, Iran University of Medical Sciences, Iran
Jeffrey Shi Kai Chan, Cardiovascular Analytics Group, China

Copyright © 2022 Zhao, Zhu, Zhang, Liu, Pei, Zhou and Jing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jian Zhou zhoujian1-2@163.com Zaiping Jing jingzaiping_vasc@163.com

These authors contributed equally to this work

Specialty section: This article was submitted to Heart Surgery, a section of the journal Frontiers in Surgery

Abbreviations: aAD, acute aortic dissection; aTAAD, acute type A aortic dissection; ARAEs, aortic-related adverse events; aTBAD, acute type B aortic dissection; CI, confidence interval; CKD, chronic kidney disease; CTA, computed tomographic angiogram; cTnI, cardiac troponin I; HF, heart failure; HR, hazard ratio; IL-6, interleukin-6; LogRR, log relative risk; LVEF, left ventricular ejection fraction; MACCEs, Major adverse cardiovascular and cerebrovascular events; Retrograde AAD, Retrograde type A aortic dissection; ROC curve, receiver operating characteristic curve; TEVAR, thoracic endovascular aortic repair.

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