Prognostic Value of Preoperative Hemoglobin Levels for Long-Term Outcomes of Acute Type B Aortic Dissection Post-thoracic Endovascular Aortic Repair

Background and Aims: There is scant information available about the prognostic value of preoperative hemoglobin (Hb) levels on the long-term outcomes of acute type B aortic dissection (ABAD) following thoracic endovascular aortic repair (TEVAR).

Methods: A retrospective analysis of consecutive patients from 2010 to 2018 regarding the relationship between Hb level and long-term outcomes was conducted. The primary endpoint was all-cause mortality. Major adverse cardiovascular events (MACEs) included all-cause death, recurrent ruptures, and secondary procedures.

Results: In total, 391 subjects treated by TEVAR were enrolled, with a mean age of 57.1 ± 12.0 years; 79.5% of them were male. Cox multivariate analysis showed that the preoperative Hb level was independently associated with all-cause death [adjusted hazard ratio (HR) 0.797 (per 1 g/dl), 95% confidence interval (CI) 0.693–0.918, p = 0.002] and MACEs (adjusted HR 0.795, 95% CI 0.672–0.871, p = 0.000). The area under the receiver operating characteristic curve of Hb for all-cause death and MACEs were 0.617 (95% CI 0.548–0.687, p = 0.008) and 0.617 (95% CI 0.551–0.684, p = 0.005), respectively. In the linear trend test, Hb concentration was significantly related to all-cause mortality (p for trend = 0.001) and MACEs (p for trend = 0.000). Moreover, in Kaplan–Meier analysis, lower Hb levels (< 12 g/dl) were significantly different from higher Hb (≥12 g/dl) levels for both all-cause death (log-rank p = 0.001) and MACEs (log-rank p = 0.001). Similar results were found when assessing the prognostic value of red blood cell count and anemia.

Conclusions: Preoperative Hb may serve as a prognostic marker for long-range adverse outcomes for ABAD patients post-TEVAR.

Introduction

A dramatic surge in the incidence of acute aortic dissection has occurred over the last decade (1, 2). Aortic dissection is conventionally classified as Stanford A or B, with the latter involving the descending aorta (3). Acute type A aortic dissection is usually treated by surgery, whereas acute type B aortic dissection (ABAD) is often treated by thoracic endovascular aortic repair (TEVAR) and/or optimized drug agents. Despite the introduction of TEVAR, the in-hospital mortality of ABAD remains at 14% (4). According to a recent study (5), the late outcomes for ABAD patients are much worse, even when the TEVAR procedure is performed. Thus, it is of central importance to identify those with a high risk over the long term.

Serological examination has been considered to be a suitable and simple way to assess a patient's status at bedside. For example, the white blood cell (WBC) count, mean platelet volume to platelet count ratio, C-reactive protein (CRP) and serum creatinine levels (6–9) have been reported to be associated with in-hospital outcomes in ABAD subjects. In other studies, N-terminal pro-B-type natriuretic peptide, Th17 cells, hypoalbuminemia, and thrombocytopenia were proposed to predict long-term outcomes of ABAD patients, with a median follow-up period ranging from 2 to 5 years (10–13). However, given the severity and fatality of ABAD, it remains necessary to probe and seek more valuable prognostic indicators.

Hemoglobin (Hb) has been described as a prognostic marker in cardiovascular diseases such as acute heart failure, coronary artery disease, strokes and in those undergoing cardiac surgery (14–17). Yet information about the relationship between Hb and ABAD is limited. Gorla et al. suggested that Hb was independently related to in-hospital outcomes of acute aortic syndrome (AAS) post-TEVAR (18), though 2-year outcomes were not independently associated with Hb levels. However, given its relatively small sample, further studies on the relationship between Hb and ABAD outcomes remain meaningful.

The present study aims to examine the association between Hb concentration and the long-term outcomes of ABAD patients who have undergone TEVAR in a relatively large population with a long follow-up period.

Method

Study Population

A single-center retrospective study was conducted from May 2010 to December 2018 in Xinqiao Hospital of the Army Medical University (Third Military Medical University) in Chongqing, China. The participants were consecutively enrolled. The inclusion criteria were (1) diagnosed with ABAD by computed tomography (CT) angiography; (2) acute or subacute phase; and (3) TEVAR. Subjects with Marfan syndrome, trauma, iatrogenic injury, intramural hematoma, or past type A aortic dissection were excluded from the study. Those with severe heart failure, malignant cancer, and myocardial infarction were also excluded. Written informed consent were obtained from all the enrolled subjects. The present study conforms to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the ethics committee of Xinqiao Hospital.

Procedure and Treatment

All subjects received optimal antihypertensive therapy using angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs), calcium channel blockers, and/or β-blockers. The indication for TEVAR was assessed by multidisciplinary consultation, including two senior cardiologists and one radiologist. TEVAR was performed under general or local anesthesia by percutaneous or open femoral access. A pigtail catheter was advanced for angiography from the contralateral femoral side, with a stent graft delivered over a guide wire. Completion angiography was used to detect type I endoleak, a complication warranting urgent treatment.

Data Collection and Laboratory Measurements

The demographics and medical history of the patients were extracted from medical records. In this retrospective study, the old diagnostic criterion for hypertension was adopted (19). Diabetes mellitus was validated if fasting glucose > 126 mg/dl or hypoglycemic medications were used. Dyslipidemia was defined as serum total cholesterol higher than 5.72 mmol/L or treatment with antihyperlipidemic drugs. Anemia was defined as Hb level < 12 g/dl for men and < 11 g/dl for women according to Chinese criteria (20). WBC count, red blood cell (RBC), Hb level, serum creatinine, and other serum parameters were measured at admission while fasting and abstaining from smoking. Serum samples for blood cell counts were collected in sealed vacuum tubes from veins with the skin free of burns, edema, or cyanosis; the blood was tested 30 min to 8 h post-ethylenediaminetetraacetic acid anticoagulant processing. The results were obtained using automatic blood analyzers.

Follow-Up and Endpoint

The participants were followed up by telephone interviews and medical records. If the telephone number was not answered, questionnaires were sent to the address on file at the hospital. Loss to follow-up was defined as no response to three attempts of telephone contact or the questionnaire. To reassure the authenticity of follow-up, 10% of the follow-up results were randomly selected for review. The primary endpoint was defined as all-cause death, and the major adverse cardiovascular event (MACE) was a composite of all-cause death, recurrent rupture of dissection [International Classification of Diseases, Tenth Revision (ICD-10), I71.001], and secondary procedure.

Statistical Analysis

Continuous and categorical variables are described as means ± standard variation and percentages (or frequencies), respectively. Intergroup differences for continuous data were estimated by the two-sample t-test or non-parametric Mann–Whitney U test; the Fisher exact or χ² test was utilized to assess intergroup differences for categorical data. The time-to-event curve was assessed by the Kaplan–Meier method, with log-rank tests to compare different curves. Multivariable Cox proportional-hazards regression analysis using a forward conditional method was applied to identify the association between outcomes and Hb levels or RBC, introducing variables with p < 0.10 into univariate analysis. The hazard ratio (HR) and 95% confidence intervals (CIs) for Hb in the Cox model indicating the risk difference were calculated by increasing per 1 g/dl. A linear trend test was performed by entering the median value for each category of Hb or RBC quintiles, with HRs and 95% CIs calculated by Cox proportional-hazards regression models using a forward conditional method, which were adjusted for age, chronic obstructive pulmonary disease (COPD), hematocrit, cystatin C, urea nitrogen, and low-density lipoprotein-cholesterol (LDL-C) in the all-cause death model. The MACE model was adjusted for age, COPD, hematocrit, urea nitrogen, cystatin C, creatinine, total cholesterol, and LDL-C. We assessed the effect of Hb and RBC on patient outcomes by an area under the receiver operating characteristic (ROC) curve (AUC). HR and 95% CI were provided to display the power of associations. A two-sided p < 0.05 was considered statistically significant. All statistical analyses were conducted using Statistical Package for the Social Sciences version 25.0 (SPSS Inc., Chicago, IL, USA).

Results

Demographic and Laboratory Examination Characteristics

In total, 445 patients were initially diagnosed with ABAD and underwent TEVAR (Supplementary Figure 1): 21 patients with traumatic dissections, seven with prior Stanford A dissections, six with Marfan syndrome, and one with iatrogenic injury were excluded. Fifteen subjects with severe heart failure, malignant cancer, or myocardial infarction were also excluded. Furthermore, five patients were lost to follow-up. Consequently, a total of 391 subjects were enrolled in the study. The baseline characteristics are summarized in Table 1. The mean age was 57.1 ± 12.0 years, and 79.5% of the subjects were male. The median follow-up time was 56 months. Current smokers accounted for 54.7% of the included patients; 81.6% of the patients were diagnosed with hypertension. The mean Hb level and RBC count was 12.6 ± 1.9 g/dl and 4.2 ± 0.6 × 10¹²/L, respectively.

TABLE 1

Table 1. Baseline characteristics at admission of the ABAD patients post-TEVAR.

Patients with preoperative Hb levels < 12 g/dl were likely older, female, non-smokers, and without hyperlipidemia. Moreover, they were more likely to have higher cystatin C and lower diastolic blood pressure (DBP), RBC, serum albumin, LDL-C, and total cholesterol levels and less likely be treated with ACEIs/ARBs. Compared with survivors, the deceased were frequently older; had COPD, higher cystatin C, and urea nitrogen; and were more likely to have lower Hb, RBC, platelet, LDL-C, and total cholesterol levels (Table 2).

TABLE 2

Table 2. Baseline characteristics for survivors and non-survivors.

Overall Outcomes

As shown in Figure 1, outcomes were significantly different in terms of all-cause mortality between the preoperative Hb < 12 g/dl and Hb ≥ 12 g/dl groups (32.1% vs. 17.1%, p = 0.001). In contrast, no significant difference in in-hospital mortality (3.73% vs. 2.33%, p = 0.428), secondary procedures (2.24% vs. 0.78%, p = 0.344), or recurrent rupture (1.49% vs. 1.56%, p = 1.000) was found between the two groups (Supplementary Figure 2).

FIGURE 1

Figure 1. All-cause mortality between different hemoglobin levels.

Area Under the Receiver Operating Characteristic Curves and Linear Trend Test

The AUCs for preoperative Hb regarding all-cause death and MACEs were 0.617 (95% CI 0.548–0.687, p = 0.008) and 0.617 (95% CI 0.551–0.684, p = 0.005), respectively (Supplementary Figure 3). The cutoff points for preoperative Hb with regard to all-cause death and MACEs were 11.05 and 11.15 g/dl (Supplementary Table 1). The linear trend test results between preoperative Hb concentration and outcomes are depicted in Table 3, and a lower Hb level was significantly associated with a higher risk of all-cause death (p for trend = 0.001) and MACEs (p for trend = 0.000), despite adjustment for the variables listed in Table 3. The HRs for the lowest quintiles of Hb (with the highest quintiles as reference) were 5.64 (95% CI 1.89–16.87) and 6.15 (95% CI 2.33–16.2) for all-cause death and MACEs, respectively.

TABLE 3

Table 3. Adjusted hazard ratios and 95% confidence interval for Hb or RBC by quintiles on outcomes.

Survival Analysis

According to Cox multivariate analysis, preoperative Hb [HR (per 1 g/dl) 0.797, 95% CI 0.639–0.918, p = 0.002] and LDL-C [HR (per 1 mmol/L) 0.639, 95% CI 0.431–0.948; p = 0.026] were independently related to all-cause mortality, following adjustment for age, COPD, hematocrit, urea nitrogen, and cystatin C. For MACEs, when adjusting for age, COPD, hematocrit, cystatin C, urea nitrogen, creatinine, total cholesterol, and LDL-C, preoperative Hb concentration (HR 0.795, 95% CI 0.672–0.871, p = 0.000) was significantly associated with MACEs (Supplementary Table 2). Figure 2A illustrates the cumulative all-cause survival rate (log-rank p = 0.001) based on Kaplan–Meier analysis, with a significant difference revealed between the two Hb levels; and as indicated in Figure 2B, MACEs were significantly different between them (log-rank p = 0.001).

FIGURE 2

Figure 2. Kaplan–Meier analysis for hemoglobin (Hb) or red blood cell (RBC) on all-cause mortality and MACEs. (A) Cumulative all-cause survival rate between different hemoglobin levels. (B) Free from MACE rates between different hemoglobin levels. (C) Cumulative all-cause survival rate between different red blood cell counts. (D) Free from MACE rates between different red blood cell counts. MACE, major adverse cardiovascular events (a composite of all-cause death, recurrent rupture and secondary procedures).

Prognostic Value of Red Blood Cell

Hb is a conventional biomarker for the oxygen-carrying ability. Given the close association between Hb and RBC, we further estimated the prognostic value of RBC. In the Cox multivariate analysis, RBC [HR 0.457 (per 1 × 10¹² /L), 95% CI 0.292–0.713, p = 0.001] and LDL-C [HR 0.617, 95% CI 0.416–0.914, p = 0.016] were independently associated with all-cause mortality, with adjustment for age, COPD, hematocrit, urea nitrogen, and cystatin C. Preoperative RBC [HR 0.419, 95% CI 0.275–0.640, p = 0.000] were significantly associated with MACEs, when adjusting for age, COPD, hematocrit, cystatin C, urea nitrogen, creatinine, total cholesterol, and LDL-C (Supplementary Table 2). In Kaplan–Meier analysis, statistical differences were observed for preoperative RBC count levels with regard to all-cause mortality and MACEs (Figures 2C,D).

Prognostic Value of Anemia

In the Cox multivariate analysis, anemia (HR 3.184 95% CI 1.855–5.465, p = 0.000) was significantly related to all-cause mortality, with adjustment for age, COPD, hematocrit, urea nitrogen, cystatin C, and LDL-C. Anemia (HR 2.883, 95% CI 1.738–4.784, p = 0.000) and urea nitrogen [HR 1.072 (per 1 mmol/L), 95% CI 1.003–1.146, p = 0.042] were significantly associated with MACEs, when adjusting for age, COPD, hematocrit, cystatin C, creatinine, total cholesterol, and LDL-C (Supplementary Table 2). In Kaplan–Meier analysis, anemia was significantly associated with all-cause mortality and MACEs (Supplementary Figure 5).

Discussion

The results of the present study suggest the following. (1) Preoperative Hb level had a significant effect in predicting the long-term mortality and MACEs of patients who undergo TEVAR due to ABAD, despite adjustments for patient characteristics and other serum parameters. (2) The cut-off values for preoperative Hb, as shown in Supplementary Table 1, were likely to provide an additional option for risk stratification. (3) A higher preoperative Hb may confer a much lower risk of adverse events for the aforementioned patients. (4) Survival rates and free from MACE rates differed enormously between those with preoperative Hb < 12 g/dl and Hb ≥ 12 g/dl. (5) Similar phenomena reiterated in both preoperative RBC count and anemia.

The study presented a significant association between different Hb levels and long-term mortality as well as adverse events for patients who develop ABAD post-TEVAR. A recent study by Gorla et al. (18) investigated the relationship between Hb level and in-hospital mortality. They retrospectively analyzed 144 subjects diagnosed with type B AAS (93 with ABAD). They suggested that postoperative Hb decline and Hb level were identified as independent predictors of in-hospital mortality, after a median of 2.6 years of follow-up; however, no significant difference was shown between different Hb levels for either mortality or other events. The disparity may be explained by the sample number and follow-up time, with ours consisting of a larger sample of patients and a longer follow-up period. Furthermore, because AAS includes acute aortic dissection (AAD), intramural hematoma, and penetrating aortic ulcers, their heterogeneity may also account for the discrepancy.

In accordance with our findings, the Hb concentration is independently associated with outcomes in other cardiovascular diseases, as clarified in previous studies. A multicenter study by Sabatine et al. (21) encompassing 39,922 subjects demonstrated that anemia is a powerful predictor of 30-day major adverse events in those who develop acute coronary syndrome (ACS). Additionally, in patients undergoing percutaneous coronary intervention (22) or coronary artery bypass graft surgery (23), lower Hb levels were independently associated with mortality and non-cardiac events. Moreover, Nuis et al. (24) demonstrated that the prevalence of anemia was higher than 50% in patients who underwent transcatheter aortic valve implantation and that preoperative anemia was significantly related to 1-year mortality. Similar conclusions were documented for patients diagnosed with stroke and heart failure (16, 25). Furthermore, Dakour-Aridi et al. (26) compared 30-day in-hospital adverse events between open and endovascular repair of abdominal aortic aneurysms and suggested lower Hb levels to be associated with in-hospital events for both procedures. The present study added ABAD patients post-TEVAR to the list, especially regarding long-term outcomes.

To examine the credibility and reproductivity of our findings, we investigated not only the relationship between Hb level but also RBC count and outcomes of ABAD patients. Consequently, both Hb and RBC were independently associated with follow-up outcomes. Meanwhile, they both had statistical significance in survival analysis. In the linear trend test, similar results were shown between RBC and Hb. Overall, similar findings were observed for Hb and RBC in our work.

Conventionally, anemia is not included in the risk factors of recent guidelines (3, 27). Ranucci et al. (28) proposed that the low prevalence of anemia as well as the multicollinearity between it and other comorbidities may explain this. Anemia is defined as Hb level < 13 g/dl for men and < 12 g/dl for women according to WHO standard (29), but the definition is different in China due to its specific race and geographical circumstance where the threshold value is 12 g/dl for men and 11 g/dl for women (20). In the present study, we illustrated the independent association between anemia and all-cause mortality or MACEs. Moreover, we displayed cutoff points for both Hb and RBC with regard to all-cause mortality and MACEs (Supplementary Table 1), and a lower value may indicate a higher risk in those who undergo TEVAR. We might provide an alternative choice in risk stratifying preoperative ABAD subjects by cutoff points of 11 g/dl for Hb and 4.05 × 10¹²/L for RBC. Additionally, according to our results, the lowest quintile Hb, compared with the highest, increased the mortality and MACE risk by roughly 6-fold; therefore, this finding might be taken into consideration when assessing the long-term outcomes of ABAD patients post-TEVAR. On the other hand, Sabatine et al. (21) illustrated that ACS patients with Hb values > 17 g/dl had increased mortality than those with 14–15 g/dl (HR 1.79, p = 0.007). Nonetheless, as only four of our subjects had a Hb level > 17 g/dl, we did not estimate the effect between them.

The explanations about the relationship between Hb and ABAD may be inferred from the following viewpoints. First, inadequate tissue oxygenation delivery due to anemia may play an important role, which may consequently cause dysfunction in the aorta. Furthermore, Horwich et al. (30) reported that patients who develop anemia are more likely to suffer malnutrition, hemodilution, myocardial ischemia, and renal insufficiency. In fact, these comorbidities are indicators of adverse outcomes in both the long and short terms. Finally, a patient with a lower Hb concentration is more likely to receive blood transfusions. A relatively small retrospective (31) study suggested that transfusion was independently related to 30-day death among patients after elective major vascular surgery, which was verified by following multicenter studies (32, 33). Additionally, Murphy et al. (32) found that transfusion was strongly associated with 1-year mortality postcardiac surgery and that transfusion may be related to race, preoperative anemia, open abdominal aneurysm repair, open bypass, and emergent procedure (33). The mechanism responsible may be a change in stored blood cells functionally and structurally, a process that may lead to an inflammatory response including interleukin-6, lipopolysaccharide-binding protein, and CRP release (34). Thus, unnecessary blood transfusion was not recommended in recent guidelines (35).

Our study had several limitations. First, this was a retrospective single-center study; thus, it should be prudent when expanding the results to subjects in other regions. Second, we could not assess all factors related to all-cause mortality and MACEs. Third, a small number of patients were ultimately lost to follow-up, which may have led to bias in our study. Finally, we only recorded serum parameters at admission, and the values may differ during different periods.

In conclusion, Hb level may serve as a good predictor of long-term adverse events in ABAD patients undergoing TEVAR. A higher Hb concentration may indicate a better outcome, and similar results were found when assessing the prognostic value of RBC and anemia. Hb levels might be taken into consideration when risk stratifying ABAD patients. Nutrition support to increasing preoperative Hb might be one of the additional treatments in patients with Hb levels lower than 12 g/dl and anemia.

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 ethics committee of Xinqiao Hospital. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

ZG, ZQ, and JJ designed the study. ZA, CH, and LW collected the data. ZG and ZQ analyzed the data and drafted the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (No. 81770247), Application Fundamental Research of Ministry of Health in the Logistics Bureau (No. 2017B013), and Project for Scientific and Technological Innovation Ability Improvement of Army Medical University (No. 2019XQN13).

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2020.588761/full#supplementary-material

References

1. Meszaros I, Morocz J, Szlavi J, Schmidt J, Tornoci L, Nagy L, et al. Epidemiology and clinicopathology of aortic dissection. Chest. (2000) 117:1271–8. doi: 10.1378/chest.117.5.1271

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Howard DP, Banerjee A, Fairhead JF, Perkins J, Silver LE, Rothwell PM, et al. Population-based study of incidence and outcome of acute aortic dissection and premorbid risk factor control: 10-year results from the Oxford vascular study. Circulation. (2013) 127:2031–7. doi: 10.1161/CIRCULATIONAHA.112.000483

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Erbel R, Aboyans V, Boileau C, Bossone E, Bartolomeo RD, Eggebrecht H, 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

4. Evangelista A, Isselbacher EM, Bossone E, Gleason TG, Eusanio MD, Sechtem U, et al. Insights from the international registry of acute aortic dissection: a 20-year experience of collaborative clinical research. Circulation. (2018) 137:1846–60. doi: 10.1161/CIRCULATIONAHA.117.031264

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Lee WA, Daniels MJ, Beaver TM, Klodell CT, Raghinaru DE, Hess PJ Jr. Late outcomes of a single-center experience of 400 consecutive thoracic endovascular aortic repairs. Circulation. (2011) 123:2938–45. doi: 10.1161/CIRCULATIONAHA.110.965756

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Sakakura K, Kubo N, Ako J, Wada H, Fujiwara N, Funayama H, et al. Peak C-reactive protein level predicts long-term outcomes in type B acute aortic dissection. Hypertension. (2010) 55:422–9. doi: 10.1161/HYPERTENSIONAHA.109.143131

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Takahashi T, Hasegawa T, Hirata N, Endo A, Yamasaki Y, Ashida K, et al. Impact of acute kidney injury on in-hospital outcomes in patients with DeBakey type III acute aortic dissection. Am J Cardiol. (2014) 113:1904–10. doi: 10.1016/j.amjcard.2014.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chen ZR, Huang B, Lu HS, Zhao ZH, Hui RT, Yang YM, et al. Admission white blood cell count predicts short-term clinical outcomes in patients with uncomplicated stanford type B acute aortic dissection. J Geriatr Cardiol. (2017) 14:49–56. doi: 10.11909/j.issn.1671-5411.2017.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Li D, Ye L, Yu J, Deng L, Liang L, Ma Y, et al. Significance of the thrombo-inflammatory status-based novel prognostic score as a useful predictor for in-hospital mortality of patients with type B acute aortic dissection. Oncotarget. (2017) 8:79315–22. doi: 10.18632/oncotarget.18105

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sodeck G, Domanovits H, Schillinger M, Janata K, Thalmann M, Ehrlich MP, et al. Pre-operative N-terminal pro-brain natriuretic peptide predicts outcome in type A aortic dissection. J Am Coll Cardiol. (2008) 51:1092–7. doi: 10.1016/j.jacc.2007.12.015

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Delsart P, Beregi JP, Devos P, Haulon S, Midulla M, Mounier-Vehier C. Thrombocytopenia: an early marker of late mortality in type B aortic dissection. Heart Vessels. (2014) 29:220–30. doi: 10.1007/s00380-013-0354-x

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Zeng R, Li D, Deng L, He Y, Sun X, Wan Z, et al. Hypoalbuminemia predicts clinical outcome in patients with type B acute aortic dissection after endovascular therapy. Am J Emerg Med. (2016) 34:1369–72. doi: 10.1016/j.ajem.2016.03.067

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Liu H, Xiao T, Zhang L, Huang Y, Shi Y, Ji Q, et al. Effects of circulating levels of Th17 cells on the outcomes of acute Stanford B aortic dissection patients after thoracic endovascular aortic repair: a 36-month follow-up study a cohort study. Medicine. (2019) 98:e18241. doi: 10.1097/MD.0000000000018241

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Grammer TB, Kleber ME, Silbernagel G, Pilz S, Scharnagl H, Tomaschitz A, et al. Hemoglobin, iron metabolism and angiographic coronary artery disease (the Ludwigshafen risk and cardiovascular health study). Atherosclerosis. (2014) 236:292–300. doi: 10.1016/j.atherosclerosis.2014.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Cattadori G, Agostoni P, Corrà U, Sinagra G, Veglia F, Salvioni E, et al. Heart failure and anemia: effects on prognostic variables. Eur J Intern Med. (2017) 37:56–63. doi: 10.1016/j.ejim.2016.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Abe A, Sakamoto Y, Nishiyama Y, Suda S, Suzuki K, Aoki J, et al. Decline in hemoglobin during hospitalization may be associated with poor outcome in acute stroke patients. J Stroke Cerebrovasc Dis. (2018) 27:1646–52. doi: 10.1016/j.jstrokecerebrovasdis.2018.01.026

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Spahn DR, Schoenrath F, Spahn GH, Seifert B, Stein P, Theusinger OM, et al. Effect of ultra-short-term treatment of patients with iron deficiency or anaemia undergoing cardiac surgery: a prospective randomised trial. Lancet. (2019) 393:2201–12. doi: 10.1016/S0140-6736(18)32555-8

CrossRef Full Text | Google Scholar

18. Gorla R, Tsagakis K, Horacek M, Mahabadi AA, Kahlert P, Jakob H, et al. Impact of preoperative anemia and postoperative hemoglobin drop on the incidence of acute kidney injury and in-hospital mortality in patients with type B acute aortic syndromes undergoing thoracic endovascular aortic repair. Vasc Endovascular Surg. (2017) 51:131–8. doi: 10.1177/1538574417697211

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. (2018) 39:3021–104. doi: 10.1093/eurheartj/ehy339

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Wang X, Wu Z, Chen Y, Zhu J, Dong X, Fu C, et al. Increased prevalence and incidence of anemia among adults in transforming rural China: two cross-sectional surveys. BMC Public Health. (2015) 15:1302. doi: 10.1186/s12889-015-2671-8

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sabatine MS, Morrow DA, Giugliano RP, Burton PB, Murphy SA, McCabe CH, et al. Association of hemoglobin levels with clinical outcomes in acute coronary syndromes. Circulation. (2005) 111:2042–9. doi: 10.1161/01.CIR.0000162477.70955.5F

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lee PC, Kini AS, Ahsan C, Fisher E, Sharma SK. Anemia is an independent predictor of mortality after percutaneous coronary intervention. J Am Coll Cardiol. (2004) 44:541–6. doi: 10.1016/j.jacc.2004.04.047

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Kulier A, Levin J, Moser R, Rumpold-Seitlinger G, Tudor IC, Snyder-Ramos SA, et al. Impact of preoperative anemia on outcome in patients undergoing coronary artery bypass graft surgery. Circulation. (2007) 116:471–9. doi: 10.1161/CIRCULATIONAHA.106.653501

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Nuis RJ, Sinning JM, Rodes-Cabau J, Gotzmann M, van Garsse L, Kefer J, et al. Prevalence, factors associated with, and prognostic effects of preoperative anemia on short- and long-term mortality in patients undergoing transcatheter aortic valve implantation. Circ Cardiovasc Interv. (2013) 6:625–34. doi: 10.1161/CIRCINTERVENTIONS.113.000409

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ezekowitz JA, McAlister FA, Armstrong PW. Anemia is common in heart failure and is associated with poor outcomes: insights from a cohort of 12 065 patients with new-onset heart failure. Circulation. (2003) 107:223–5. doi: 10.1161/01.CIR.0000052622.51963.FC

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Dakour-Aridi H, Nejim B, Locham S, Alshwaily W, Malas MB. Anemia postoperative outcomes after open and endovascular repair of intact abdominal aortic aneurysms. J Vasc Surg. (2019) 69:738–51.e732. doi: 10.1016/j.jvs.2018.05.233

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hiratzka LF, Bakris GL, Beckman JA, Bersin RM, Carr VF, Casey DE JR, et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the diagnosis and management of patients with thoracic aortic disease. A report of the American College of Cardiology foundation/American Heart Association Task Force on practice guidelines, American Association for Thoracic Surgery, American College of Radiology, American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons, and Society for Vascular Medicine. J Am Coll Cardiol. (2010) 55:e27–129. doi: 10.1161/CIR.0b013e3181d4739e

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ranucci M, Di Dedda U, Castelvecchio S, Menicanti L, Frigiola A, Pelissero G, et al. Impact of preoperative anemia on outcome in adult cardiac surgery: a propensity-matched analysis. Ann Thorac Surg. (2012) 94:1134–41. doi: 10.1016/j.athoracsur.2012.04.042

CrossRef Full Text | Google Scholar

29. Nutritional anaemias. Report of a WHO scientific group. World Health Organ Tech Rep Ser. (1968) 405:5–37.

Google Scholar

30. Horwich TB, Fonarow GC, Hamilton MA, MacLellan WR, Borenstein J. Anemia is associated with worse symptoms, greater impairment in functional capacity and a significant increase in mortality in patients with advanced heart failure. J Am Coll Cardiol. (2002) 39:1780–6. doi: 10.1016/S0735-1097(02)01854-5

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Bursi F, Barbieri A, Politi L, Di Girolamo A, Malagoli A, Grimaldi T, et al. Perioperative red blood cell transfusion and outcome in stable patients after elective major vascular surgery. Eur J Vasc Endovasc Surg. (2009) 37:311–18. doi: 10.1016/j.ejvs.2008.12.002

CrossRef Full Text | Google Scholar

32. Murphy GJ, Reeves BC, Rogers CA, Rizvi SI, Culliford L, Angelini GD. Increased mortality postoperative morbidity, and cost after red blood cell transfusion in patients having cardiac surgery. Circulation. (2007) 116:2544–52. doi: 10.1161/CIRCULATIONAHA.107.698977

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Obi AT, Park YJ, Bove P, Cuff R, Kazmers A, Gurm HS, et al. The association of perioperative transfusion with 30-day morbidity and mortality in patients undergoing major vascular surgery. J Vasc Surg. (2015) 61:1000–9.e1001. doi: 10.1016/j.jvs.2014.10.106

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Fransen E, Maessen J, Dentener M, Senden N, Buurman W. Impact of blood transfusions on inflammatory mediator release in patients undergoing cardiac surgery. Chest. (1999) 116:1233–9. doi: 10.1378/chest.116.5.1233

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Ferraris VA, Brown JR, Despotis GJ, Hammon JW, Reece TB, Saha SP, et al. 2011 update to the society of thoracic surgeons and the society of cardiovascular anesthesiologists blood conservation clinical practice guidelines. Ann Thorac Surg. (2011) 91:944–82. doi: 10.1016/j.athoracsur.2010.11.078

PubMed Abstract | CrossRef Full Text | Google Scholar