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D-dimer for risk stratification and antithrombotic treatment management in acute coronary syndrome patients: a systematic review and metanalysis

A Correction to this article was published on 09 February 2022

This article has been updated

Abstract

Background

Data on the prognostic role of D-dimer in patients with acute coronary syndrome (ACS) are controversial. Our aim was to summarize current evidence on the association between D-dimer levels and short/long-term poor prognosis of ACS patients. We also investigated the association between D-dimer and no-reflow phenomenon.

Methods

Systematic review and metanalysis of observational studies including ACS patients and reporting data on D-dimer levels. PubMed and SCOPUS databases were searched. Data were combined with hazard ratio (HR) and metanalysed. The principal endpoint was a composite of cardiovascular events (CVEs) including myocardial infarction, all-cause and cardiovascular mortality.

Results

Overall, 32 studies included in the systematic review with 28,869 patients. Of them, 6 studies investigated in-hospital and 26 studies long-term outcomes. Overall, 23 studies showed positive association of high D-dimer levels with CVEs. D-dimer levels predicted poor prognosis in all studies reporting in-hospital outcomes. Five studies satisfied inclusion criteria and were included in the metanalysis, with a total of 8616 patients. Median follow-up was 13.2 months with 626 CVEs. The pooled HR for D-dimer levels and CVEs was 1.264 (95% CI 1.134–1.409). Five out of 7 studies (4195 STEMI patients) investigating the association between D-dimer levels and no-reflow showed a positive correlation of D-dimer levels with no-reflow.

Conclusions

In patients with ACS, D-dimer was associated with higher in-hospital and short/long-term complications. D-dimer was also higher in patients with no-reflow phenomenon. The use of D-dimer may help to identify patients with residual thrombotic risk after ACS.

Trial registration

The review protocol was registered in PROSPERO International Prospective Register of Systematic Reviews: CRD42021267233.

Introduction

Coronary artery disease (CAD) is the leading cause of death worldwide with acute myocardial infarction (MI) representing the clinical condition associated with the greatest morbidity and mortality, up to 30% of in-hospital deaths [1, 2]. Prompt reperfusion with percutaneous coronary intervention (PCI), advances in acute cardiovascular care and more effective medical therapy have improved the prognosis of patients with MI in the last years [3].

This increased survival revealed a previously unrecognized long-term risk of recurrent thrombotic events despite optimal medical therapy [2]. Indeed, almost one fifth of MI patients suffer from re-hospitalization within 1 year and 10% from recurrent MI [3, 4].

There is therefore a growing need of a more accurate risk stratification of MI patients to identify those at higher risk for adverse events and worse prognosis [5].

Current guidelines of the American Heart Association and the European Society of Cardiology highlighted the lack of useful biomarkers to predict in-hospital complications and short/long term prognosis of patients with MI, recommending for this purpose only to measure troponin and brain natriuretic peptide (BNP) serum levels, with the latter associated with a low level of evidence [6, 7].

During last decades, several studies, mostly conducted in the 90’s before the routine use of dual antiplatelet therapy, described the pivotal and prognostic role of coronary thrombosis and hypercoagulable state in the pathophysiology of MI, correlating increased coagulation activity with recurrent event and poor outcome after MI [8,9,10].

As a marker of rapid fibrin turnover and high thrombotic activation in both arterial and venous system, interest in D-dimer has grown over time, and its predictive role has been investigated in several acute and chronic cardiovascular care, [11]. In patients with MI, high circulating D-dimer levels have been correlated with recurrent MI and poor prognosis [12, 13] and early reduction in plasma concentration of D-dimer by Ximelagatran administration was associated with decreased risk of new cardiovascular events [14].

In addition, there are some data indicating that D-dimer may be higher in MI patients experiencing no-reflow phenomenon [15], a severe condition in which high thrombotic burden interfere with complete restoration of myocardial blood supply after PCI, known to be correlated with adverse outcomes and poor prognosis [16].

Despite many studies published, conclusive data on the real usefulness and additional value of D-dimer in the management of patients with MI are lacking.

The aim of this systematic review and meta-analysis is to summarize current evidence on the potential prognostic role of D-dimer levels in CAD patients and its association with no-reflow phenomenon.

Materials and methods

Strategy search

We conducted a systematic review of literature searching MEDLINE via PubMed and Scopus databases using a combination of the following keywords: “D-dimer” and “myocardial infarction” and “coronary artery disease” and “acute coronary syndrome”. There was no time restriction and the last search was run on May 1, 2021. We included only journal articles in English language with full text available. We excluded case-control studies, case reports, editorials/comments, letters, review and meta-analysis, and experimental studies. Supplementary Fig. 1 report strategy searches which were performed according to the PRISMA guidelines. The systematic review was registered at PROSPERO (https://www.crd.york.ac.uk/PROSPERO) with registration number CRD42021267233.

Study selection and quality assessment

Two physicians (FGB, DP) independently screened the titles and abstracts of manuscripts identified through the database searches to identify studies potentially eligible for further assessment. A third physician (GT) reviewed eligible studies for appropriateness and completeness. The study selection was performed in multiple phases. In the first phase, potentially relevant studies were obtained by combined searches of electronic databases using the selected above-mentioned keywords and exclusion criteria. In the second phase, potentially eligible studies were reviewed to assess the appropriateness with the study question. Finally, the quality of pertinent studies included in the metanalysis was assessed by the Newcastle–Ottawa scale. Studies with a score ≥ 7 were considered of good quality. Quality assessment is reported in Supplementary Table 1.

Endpoints

The principal endpoint was a composite of cardiovascular events (CVEs) including MI, all-cause and cardiovascular mortality. The type of endpoint reported in each study is given in Table 1. Given the lack of high-quality studies, the association between D-dimer and no-reflow was not formally analysed but only systematically reviewed. Ethical approval was not required given the study type.

Table 1 Clinical characteristics of studies investigating major adverse cardiac events and all-cause mortality included in the systematic review

Statistical analysis

When available, hazard ratios (HRs) and odds ratios (ORs) were recorded from each study.

A separate meta-analysis was conducted for each endpoint, using a hierarchical Bayesian model which therefore would take into account heterogeneity among studies. This technique was chosen due to the limited number of studies included. Formally, each study-specific effect was assumed to be distributed according to a log-Gaussian random variable, centered on a pooled effect. The variance on the log-scale was assumed to correspond to 1.25 times the squared standard error, as evaluated through confidence intervals reported in each study.

All analyses were conducted with R version 3.5.1, using the ‘metafor and ‘adaptMCMC’ packages.

Results

Characteristics of studies

The association between D-dimer levels and clinical outcomes has been investigated in populations enrolled using different definitions of ischemic heart disease, such as CAD, ST segment elevation myocardial (STEMI), non-ST segment elevation myocardial infarction (NSTEMI), acute MI and acute coronary syndrome (ACS). Characteristics of these studies have been separately described according to each definition (Table 1). Supplementary Table 2 and Supplementary Table 3 display the method used to dose D-dimer, cut-off levels and antithrombotic therapy across included studies.

Cardiovascular events

PRISMA flow diagram showing study search strategy about cardiovascular events is reported in Supplementary Fig. 1. After screening, 42 potentially eligible studies were identified and were considered for detailed analysis (Supplementary Fig. 1); 32 studies were included in the systematic review with 28,869 patients. Of these, 9 were retrospective, 20 prospective, 1 ambispective, 1 cross sectional study and 1 post-hoc analysis of a randomized clinical trial.

According to different inclusion criteria, 13 studies included STEMI, 3 NSTEMI, 7 MI, 9 CAD patients.

ST segment elevation myocardial (STEMI)

Overall, a sample of 7729 patients was analysed. The mean age ranged from 41 to 70.2 years and the proportion of women ranged from 8.45 to 54.7%. Four studies investigated outcomes occurred during hospital stay, while 7 studies investigated long-term outcomes (Table 1).

Overall, 11 studies showed an association between high plasma D-dimer levels and CVEs in STEMI patients. In particular, D-dimer predicted worse prognosis in all studies considering in-hospital outcomes, and in 5 out of 7 studies with long-term follow-up (Table 1).

Non-ST segment elevation myocardial infarction (NSTEMI)

A total of 1949 NSTEMI patients, with a mean age that ranged from 57.2 to 67.4 years was included. The proportion of female patients ranged from 24.8 to 35.8%. All studies investigated long-term prognosis. Overall, 1 out of 3 studies showed a positive association between high plasma D-dimer levels and CVEs incidence. However, one study showing no association between D-dimer and outcomes showed an association between D-dimer and NSTEMI severity, as assessed by Global Registry of Acute Coronary Events (GRACE) and thrombolysis in myocardial infarction (TIMI) risk scores, and included only mortality as endpoint; the other study had a short follow-up (6 months) and included also heart failure among cardiovascular outcomes (Table 1).

Myocardial infarction

Seven studies included a total of 12,320 patients with MI, with a mean age ranging from 62.8 to 74.2 years. The proportion of women ranged from 20 to 33.6% and 2 studies investigated in-hospital outcomes. Overall, 4 out of 7 studies consistently showed that D-dimer associated with CVEs (Table 1). Two studies also investigated the existence of a sex-based difference in the prognostic role of D-dimer providing conflicting evidence. Indeed, the study by Wang et al. found that D-dimer predicted all-cause mortality in women but not men. In this study, women were significantly older than men (74 vs 61 years). The opposite was found in the THROMBO study, in which however the mean age was lower and the endpoint included a composited of non-fatal events and cardiovascular death (Table 1).

Acute coronary syndrome (ACS) or CAD

Nine studies included 6871 ACS/CAD patients with a mean age ranging from 57.2 to 71.1 years. The proportion of female patients ranged from 11.1 to 54.1%. Overall, 8 out of 9 studies found that D-dimer was a predictive risk factor for CVEs in patients with ACS or CAD. In one study [45], the association between D-dimer and mortality was not confirmed at multivariable analysis; however, this study included a very heterogeneous population mixing STEMI, NSTEMI, unstable angina and no ACS patients.

Results of meta-analysis

Five studies satisfied inclusion criteria and were included in the metanalysis: 4 prospective and 1 retrospective studies (Table 1) with a total of 8616 patients. Only studies reporting HR for continuous values were formally analysed. Median follow-up was 13.2 months with a total of 626 CVEs. The weighted mean age was 61.9 years. The percentage of women ranged from 25.9 to 100% (in one study). The pooled HR for D-dimer levels and CVEs was 1.264 (95% CI 1.134–1.409) (Fig. 1).

Fig. 1
figure 1

Forest plot of the hazard ratio for the risk of composite endpoints according to D-dimer values in patients with acute MI. HR: hazard ratio; CI: confidence interval

No-reflow phenomenon in STEMI patients

We also performed a systematic search using “D-dimer” and “no-reflow”. After screening, 7 potentially eligible studies were identified (3 prospective, 3 retrospective and 1 ambispective) (Supplementary Fig. 2). A total of 4195 STEMI patients were included, with mean age ranged from 52.6 to 64.0 mean years (female patients from 16 to 53.7%). Overall, 1327 patients (31.6%) had no-reflow phenomenon (Table 2). Five out of 7 studies showed a positive correlation of D-dimer levels with no-reflow phenomenon. Given the high variability in the methods of each study (cut-off of D-dimer used, measures of association) a formal analysis was not performed.

Table 2 Clinical characteristics of studies investigating no-reflow phenomenon included in the systematic review

Discussion

Our study shows that most studies including patients with ischemic heart disease showed a consistent association between D-dimer levels and worse clinical outcomes. This association was particularly evident in studies investigating in-hospital adverse events.

The rationale of investigating D-dimer levels in CAD patients relies on the persistent hypercoagulable state described in MI patients, which may lead to worse clinical outcomes in these patients through several mechanisms [14]. Clotting activation may contribute to thrombus growth and no-reflow phenomenon, along with impaired thrombolysis which has been frequently described in CAD patients [49], all factors contributing to an increased CAD severity and myocardial injury (Fig. 2).

Fig. 2
figure 2

Pathophysiological mechanisms linking clotting activation and impairment of thrombolysis with the severity of acute coronary syndrome presentation and clinical outcomes

Reperfusion fails to occur after thrombolytic therapy in approximate 40% of patients, as shown by a study including 427 STEMI patients undergo rescue PCI [50]. Indeed, high D-dimer levels have been shown to be significantly higher in lysis-resistant thrombi from STEMI patients [51].

The pathogenesis of no-reflow remains unclear, but it is likely to be multifactorial, including endothelial damage platelet and clotting activation leading to thrombus formation at the level of small vessels [52]. Few studies investigated the occurrence of no-reflow in STEMI patients undergoing PCI and its relationship with D-dimer [15, 22, 23, 25, 47, 48]. In 229 consecutive STEMI patients, X. Gong et al. [47] found that a D-dimer value of 530 ng/mL (FEU) was associated with postprocedural no-reflow, with 85.7% of sensitivity and 67.7% of specificity (area under the curve [AUC] = 0.78; p = 0.049). Similarly, Sarli et al. found that optimal D-dimer cut-off value for predicting no-reflow was 549 μg/l (FEU) [25]. In 218 STEMI patients, Cheng et al. [48] found that no-reflow patients were older, diabetics, with longer pain-to balloon time, lower blood pressure, higher platelet counts and higher levels of D-dimer and Cystatin C than patients without no-reflow.

Risk stratification using D-dimer

In the past decades, an increasing number of biomarkers have been tested to improve cardiovascular risk stratification in patients with ACS [6, 53]. In particular, some studies suggested that the use of a combination of multiple biomarkers may improve risk stratification. This is the case of D-dimer, which if used alone is currently recommended to only exclude acute venous thromboembolism, but its addition to other biomarkers/risk scores gave promising results.

Indeed, the addition of D-dimer has been investigated to some biomarkers such as C-reactive protein (CRP), NT-proBNP and clinical scores, such as the Global Registry of Acute Coronary Events (GRACE) risk score has been investigated. Fu et al. included D-dimer levels ≥2.4 mg/L FEU in a risk score model together with CRP, left ventricular ejection fraction, age ≥ 65 years old and heart rate [32]. In ROC curve analysis, this model demonstrated a good power in predicting in-hospital mortality (AUC = 0.895, 95% CI 0.814–0.96; p <  0.001), better than the predictive power of the GRACE risk score alone (AUC = 0.754, 95% CI 0.641–0.868; p <  0.001). D-dimer has been tested combined to GRACE score also in the study by Lin et al. who found that the combination of NT-pro-BNP and D-dimer improved the predictive accuracy of GRACE score for all-cause death [29]. In 5923 ACS patients undergoing PCI, GRACE score combined with D-dimer achieved a better prognostic performance than GRACE score, and D-dimer could significantly improve the prognostic performance of GRACE score [35]. This result is in keeping with that described by Yu et al., in which [35] D-dimer levels significantly improved the prognostic performance of GRACE score.

Management and therapeutic implications

Altogether, current evidence suggest that D-dimer may identify patients at higher risk for a more severe CAD and worse prognosis. Of note, clotting activation is not lowered by antiplatelet therapy [54], as shown by previous studies reporting no effect of aspirin and DAPT in reducing D-dimer levels [55]. Conversely, oral and parenteral anticoagulation, in addition or not to DAPT, has been demonstrated to decrease D-dimer levels in patients with MI [41, 56, 57]. Thus, ATLAS ACS 2-TIMI 51 and COMPASS trials have recently proved the utility of adding low-dose anticoagulation to antiplatelet medications. In ATLAS ACS 2-TIMI 51, introduction of low-dose rivaroxaban therapy (2.5 mg or 5 mg twice daily, with 93% of patients on DAPT) has shown to be effective in reducing the risk of death from cardiovascular causes, myocardial infarction, or stroke [58], even if the use of rivaroxaban increased the risk of major bleeding and intracranial haemorrhages. Similarly, the COMPASS trial demonstrated that rivaroxaban plus aspirin was effective in decreasing the primary outcome of cardiovascular death, stroke or MI with a 22% reduction in the net clinical benefit endpoint (defined as the composite of primary outcome, fatal bleeding and symptomatic bleeding into a critical organ/area) [59]. Moreover, a sub-analysis of the COMPASS trial has shown that patients with high thrombotic profile (i.e., peripheral arterial disease) may benefit more from adding anticoagulation therapy to reduce residual thrombotic risk.

However, these studies did not stratified patients according to D-dimer levels. Data from the literature let to hypothesize that the benefit conferred by an association therapy of oral anticoagulation and antiplatelet therapy may be even more evident in patients with the features of clotting activation (i.e. high D-dimer). This aspect would deserve a specific investigation.

Another group of patients who deserve particular attention is represented by patients presenting with no-reflow. Preliminary data from the literature suggest an association between high-D-dimer levels and no-reflow. Moreover, in MI patients who cannot undergo cardiac catheterization, D-dimer concentrations may also be helpful to predict severity of coronary disease [60].

Finally, D-dimer levels might be helpful in identifying MI patients at high risk of complications and worse outcome. In Fig. 3, we propose a D-dimer guided strategy to tailored therapy in patients at higher thrombotic risk such as those with MI undergoing PCI. Firstly, MI patients with high D-dimer levels may benefit from specific pharmacological management and technical procedures to reduce the probability of no-reflow phenomenon. These include the use of glycoprotein IIb/IIIa inhibitors, higher heparin dose and direct stenting without predilation [61,62,63,64]. Those high-risk patients might also take advantage from prolonged parenteral anticoagulation after PCI during in-hospital staying to reduce early complications. At discharge, patients presenting with high-risk features, including presence of comorbidities, multivessel disease, age > 65 years, recurrent MI, multiple stent insertion, may benefit from adding a low dose of oral anticoagulant agent to conventional antiplatelet therapy to reduce the residual thrombotic risk (i.e., rivaroxaban 2.5 mg twice daily).

Fig. 3
figure 3

Proposed flow-chart for the management of patients with acute MI according to D-dimer values. MI: myocardial infarction; PCI: percutaneous coronary intervention; UFH: unfractionated Heparin

Study limitations. A formal analysis for D-dimer against no-reflow phenomenon was not performed given the high variability in the methods of each study (cut-off of D-dimer used, measures of association) was not performed.

Conclusions

In conclusion, given its association with CVEs, the use of D-dimer may help physicians to improve outcome and manage residual thrombotic risk in MI patients. D-dimer may therefore represent a valuable guide in the difficult decision-making process on the use of oral anticoagulation in addition to currently recommended antithrombotic therapy in patients with ACS.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Change history

Abbreviations

CAD:

Coronary artery disease

MI:

Myocardial infarction

PCI:

Percutaneous coronary intervention

CVEs:

Cardiovascular events

STEMI:

ST segment elevation myocardial

NSTEMI:

Non-ST segment elevation myocardial infarction

ACS:

Acute coronary syndrome

CRP:

C-reactive protein

GRACE:

Global registry of acute coronary events

TIMI:

Thrombolysis in myocardial infarction

References

  1. Roth GA, Huffman MD, Moran AE, Feigin V, Mensah GA, Naghavi M, et al. Global and regional patterns in cardiovascular mortality from 1990 to 2013. Circulation. 2015;132(17):1667–78. https://doi.org/10.1161/CIRCULATIONAHA.114.008720.

    Article  PubMed  Google Scholar 

  2. Jernberg T, Hasvold P, Henriksson M, Hjelm H, Thuresson M, Janzon M. Cardiovascular risk in post-myocardial infarction patients: nationwide real world data demonstrate the importance of a long-term perspective. Eur Heart J. 2015;36(19):1163–70. https://doi.org/10.1093/eurheartj/ehu505.

    Article  PubMed  Google Scholar 

  3. Townsend N, Wilson L, Bhatnagar P, Wickramasinghe K, Rayner M, Nichols M. Cardiovascular disease in Europe: epidemiological update 2016. Eur Heart J. 2016;37(42):3232–45. https://doi.org/10.1093/eurheartj/ehw334.

    Article  PubMed  Google Scholar 

  4. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88. https://doi.org/10.1016/S0140-6736(18)32203-7.

  5. Dhingra R, Vasan RS. Biomarkers in cardiovascular disease: statistical assessment and section on key novel heart failure biomarkers. Trends Cardiovasc Med. 2017;27(2):123–33. https://doi.org/10.1016/j.tcm.2016.07.005.

    Article  CAS  PubMed  Google Scholar 

  6. Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, et al. ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J. 2020;2020(3):4418. https://doi.org/10.15829/1560-4071-2021-4418.

    Article  Google Scholar 

  7. Amsterdam EA, Wenger NK, Brindis RG, Casey DE Jr, Ganiats TG, Holmes DR Jr, et al. AHA/ACC guideline for the Management of Patients with non-ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. J Am Coll Cardiol. 2014;64:e139–228. https://doi.org/10.1016/j.jacc.2014.09.017.

    Article  PubMed  Google Scholar 

  8. Galvani M, Ferrini D, Ottani F, Eisenberg PR. Early risk stratification of unstable angina/non-Q myocardial infarction: biochemical markers of coronary thrombosis. Int J Cardiol. 1999;68(Suppl 1):S55–61. https://doi.org/10.1016/S0167-5273(98)00292-7.

    Article  PubMed  Google Scholar 

  9. Ardissino D, Merlini PA, Gamba G, Barberis P, Demicheli G, Testa S, et al. Thrombin activity and early outcome in unstable angina pectoris. Circulation. 1996;93(9):1634–9. https://doi.org/10.1161/01.CIR.93.9.1634.

    Article  CAS  PubMed  Google Scholar 

  10. Merlini PA, Bauer KA, Oltrona L, Ardissino D, Cattaneo M, Belli C, et al. Persistent activation of coagulation mechanism in unstable angina and myocardial infarction. Circulation. 1994;90(1):61–8. https://doi.org/10.1161/01.CIR.90.1.61.

    Article  CAS  PubMed  Google Scholar 

  11. Giannitsis E, Mair J, Christersson C, Siegbahn A, Huber K, Jaffe AS, et al. How to use D-dimer in acute cardiovascular care. Eur Heart J Acute Cardiovasc Care. 2017;6(1):69–80. https://doi.org/10.1177/2048872615610870.

    Article  PubMed  Google Scholar 

  12. Oldgren J, Linder R, Grip L, Siegbahn A, Wallentin L. Coagulation activity and clinical outcome in unstable coronary artery disease. Arterioscler Thromb Vasc Biol. 2001;21(6):1059–64. https://doi.org/10.1161/01.ATV.21.6.1059.

    Article  CAS  PubMed  Google Scholar 

  13. Soomro AY, Guerchicoff A, Nichols DJ, Suleman J, Dangas GD. The current role and future prospects of D-dimer biomarker. Eur Heart J Cardiovasc Pharmacother. 2016;2(3):175–84. https://doi.org/10.1093/ehjcvp/pvv039.

    Article  CAS  PubMed  Google Scholar 

  14. Christersson C, Oldgren J, Bylock A, Siegbahn A, Wallentin L. Early decrease in coagulation activity after myocardial infarction is associated with lower risk of new ischaemic events: observations from the ESTEEM trial. Eur Heart J. 2007;28(6):692–8. https://doi.org/10.1093/eurheartj/ehl564.

    Article  CAS  PubMed  Google Scholar 

  15. Erkol A, Oduncu V, Turan B, Kılıçgedik A, Sırma D, Gözübüyük G, et al. The value of plasma D-dimer level on admission in predicting no-reflow after primary percutaneous coronary intervention and long-term prognosis in patients with acute ST segment elevation myocardial infarction. J Thromb Thrombolysis. 2014;38(3):339–47. https://doi.org/10.1007/s11239-013-1044-3.

    Article  CAS  PubMed  Google Scholar 

  16. Rezkalla SH, Dharmashankar KC, Abdalrahman IB, Kloner RA. No-reflow phenomenon following percutaneous coronary intervention for acute myocardial infarction: incidence, outcome, and effect of pharmacologic therapy. J Interv Cardiol. 2010;23(5):429–36. https://doi.org/10.1111/j.1540-8183.2010.00561.x.

    Article  PubMed  Google Scholar 

  17. Biccirè FG, Pastori D, Tanzilli A, Pignatelli P, Viceconte N, Barillà F, et al. Low serum albumin levels and in-hospital outcomes in patients with ST segment elevation myocardial infarction. Nutr Metab Cardiovasc Dis. 2021;31(10):2904–11.

    Article  PubMed  Google Scholar 

  18. Huang D, Gao W, Wu R, Zhong X, Qian J, Ge J. D-dimer level predicts in-hospital adverse outcomes after primary PCI for ST-segment elevation myocardial infarction. Int J Cardiol. 2020;305:1–4. https://doi.org/10.1016/j.ijcard.2020.02.010.

    Article  PubMed  Google Scholar 

  19. Luo E, Wang D, Liu B, Hou J, Yan G, Tang C. The value of d-dimer level in predicting contrast-induced acute kidney injury in patients with acute ST-segment elevation myocardial infarction after PCI. Clin Appl Thromb Hemost. 2020;26:1076029620944492. https://doi.org/10.1177/1076029620944492.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zhou Q, Xue Y, Shen J, Zhou W, Wen Y, Luo S. Predictive values of D-dimer for the long-term prognosis of acute ST-segment elevation infarction: a retrospective study in southwestern China. Medicine (Baltimore). 2020;99(16):e19724. https://doi.org/10.1097/MD.0000000000019724.

    Article  CAS  Google Scholar 

  21. Lin KY, Chen HC, Jiang H, Wang SY, Chen HM, Wu ZY, et al. Predictive value of admission D-dimer for contrast-induced acute kidney injury and poor outcomes after primary percutaneous coronary intervention. BMC Nephrol. 2020;21(1):90. https://doi.org/10.1186/s12882-020-01743-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zhang H, Qiu B, Zhang Y, Cao Y, Zhang X, Wu Z, et al. The value of pre-infarction angina and plasma D-dimer in predicting no-reflow after primary percutaneous coronary intervention in ST-segment elevation acute myocardial infarction patients. Med Sci Monit. 2018;24:4528–35. https://doi.org/10.12659/MSM.909360.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Gao R, Wang J, Zhang S, Yang G, Gao Z, Chen X. The value of combining plasma D-dimer and Endothelin-1 levels to predict no-reflow after percutaneous coronary intervention of ST-segment elevation in acute myocardial infarction patients with a type 2 diabetes mellitus history. Med Sci Monit. 2018;24:3549–56. https://doi.org/10.12659/MSM.908980.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Hansen CH, Ritschel V, Andersen G, Halvorsen S, Eritsland J, Arnesen H, et al. Markers of thrombin generation are associated with long-term clinical outcome in patients with ST-segment elevation myocardial infarction. Clin Appl Thromb Hemost. 2018;24(7):1088–94. https://doi.org/10.1177/1076029618764847.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Sarli B, Akpek M, Baktir AO, Sahin O, Saglam H, Arinc H, et al. Impact of D-dimer level on postinterventional coronary flow and in-hospital MACE in ST-segment elevation myocardial infarction. Herz. 2015;40(3):507–13. https://doi.org/10.1007/s00059-013-4029-2.

    Article  CAS  PubMed  Google Scholar 

  26. Kikkert WJ, Claessen BE, Stone GW, Mehran R, Witzenbichler B, Brodie BR, et al. D-dimer levels predict ischemic and hemorrhagic outcomes after acute myocardial infarction: a HORIZONS-AMI biomarker substudy. J Thromb Thrombolysis. 2014;37(2):155–64. https://doi.org/10.1007/s11239-013-0953-5.

    Article  CAS  PubMed  Google Scholar 

  27. Akgul O, Uyarel H, Pusuroglu H, Gul M, Isiksacan N, Turen S, et al. Predictive value of elevated D-dimer in patients undergoing primary angioplasty for ST elevation myocardial infarction. Blood Coagul Fibrinolysis. 2013;24(7):704–10. https://doi.org/10.1097/MBC.0b013e3283610396.

    Article  CAS  PubMed  Google Scholar 

  28. Pineda J, Marín F, Marco P, Roldán V, Valencia J, Ruiz-Nodar JM, et al. The prognostic value of biomarkers after a premature myocardial infarction. Int J Cardiol. 2010;143(3):249–54. https://doi.org/10.1016/j.ijcard.2009.02.019.

    Article  PubMed  Google Scholar 

  29. Lu PJ, Gong XW, Liu Y, Tian FS, Zhang WJ, Liu YW, et al. Optimization of GRACE risk stratification by N-terminal pro-B-type natriuretic peptide combined with D-dimer in patients with non-ST-elevation myocardial infarction. Am J Cardiol. 2021;140:13–9. https://doi.org/10.1016/j.amjcard.2020.10.050.

    Article  CAS  PubMed  Google Scholar 

  30. Satilmisoglu MH, Ozyilmaz SO, Gul M, Ak Yildirim H, Kayapinar O, Gokturk K, et al. Predictive values of D-dimer assay, GRACE scores and TIMI scores for adverse outcome in patients with non-ST-segment elevation myocardial infarction. Ther Clin Risk Manag. 2017;13:393–400. https://doi.org/10.2147/TCRM.S124794.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Tello-Montoliu A, Marín F, Roldán V, Mainar L, López MT, Sogorb F, et al. A multimarker risk stratification approach to non-ST elevation acute coronary syndrome: implications of troponin T, CRP, NT pro-BNP and fibrin D-dimer levels. J Intern Med. 2007;262(6):651–8. https://doi.org/10.1111/j.1365-2796.2007.01871.x.

    Article  CAS  PubMed  Google Scholar 

  32. Fu Y, Sun H, Guo Z, Xu L, Yang X, Wang L, et al. A risk score model to predict in-hospital mortality of patients with end-stage renal disease and acute myocardial infarction. Intern Emerg Med. 2020;16(4):905–12. https://doi.org/10.1007/s11739-020-02529-3.

    Article  PubMed  Google Scholar 

  33. Wang P, Yao J, Xie Y, Luo M. Gender-specific predictive markers of poor prognosis for patients with acute myocardial infarction during a 6-month follow-up. J Cardiovasc Transl Res. 2020;13(1):27–38. https://doi.org/10.1007/s12265-019-09946-6.

    Article  PubMed  Google Scholar 

  34. Zhang X, Wang S, Sun L, Fang S, Yu B. Prognostic value of D-dimer in acute myocardial infarction complicated by heart failure with preserved ejection fraction. ESC Heart Fail. 2020;7(6):4118–25. https://doi.org/10.1002/ehf2.13027.

    Article  PubMed Central  Google Scholar 

  35. Yu T, Jiao Y, Song J, He D, Wu J, Sun Z, et al. Hospital mortality in acute coronary syndrome: adjustment of GRACE score by D-dimer enables a more accurate prediction in a prospective cohort study. BMC Cardiovasc Disord. 2019;19(1):252. https://doi.org/10.1186/s12872-019-1239-4.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Christersson C, Lindahl B, Berglund L, Siegbahn A, Oldgren J. The utility of coagulation activity for prediction of risk of mortality and cardiovascular events in guideline-treated myocardial infarction patients. Ups J Med Sci. 2017;122(4):224–33. https://doi.org/10.1080/03009734.2017.1407849.

    Article  PubMed  Google Scholar 

  37. Smid M, Dielis AW, Winkens M, Spronk HM, van Oerle R, Hamulyák K, et al. Thrombin generation in patients with a first acute myocardial infarction. J Thromb Haemost. 2011;9(3):450–6. https://doi.org/10.1111/j.1538-7836.2010.04162.x.

    Article  CAS  PubMed  Google Scholar 

  38. Kalaria VG, Zareba W, Moss AJ, Pancio G, Marder VJ, Morrissey JH, et al. Gender-related differences in thrombogenic factors predicting recurrent cardiac events in patients after acute myocardial infarction. The THROMBO Investigators. Am J Cardiol. 2000;85(12):1401–8. https://doi.org/10.1016/S0002-9149(00)00785-2.

    Article  CAS  PubMed  Google Scholar 

  39. Chen H, Lu N, Zheng M. A high circulating FGF21 level as a prognostic marker in patients with acute myocardial infarction. Am J Transl Res. 2018;10(9):2958–66.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Kosaki R, Minoura Y, Ogura K, Oishi Y, Tanaka L, Arai K, et al. Thrombomodulin can predict the incidence of second events in patients with acute coronary syndrome: single-center, retrospective cohort study. J Cardiol. 2018;72(6):494–500. https://doi.org/10.1016/j.jjcc.2018.05.006.

    Article  PubMed  Google Scholar 

  41. AlKhalfan F, Kerneis M, Nafee T, Yee MK, Chi G, Plotnikov A, et al. D-dimer levels and effect of rivaroxaban on those levels and outcomes in patients with acute coronary syndrome (an ATLAS ACS-TIMI 46 trial substudy). Am J Cardiol. 2018;122(9):1459–64. https://doi.org/10.1016/j.amjcard.2018.07.032.

    Article  CAS  PubMed  Google Scholar 

  42. Mjelva ØR, Pönitz V, Brügger-Andersen T, Grundt H, Staines H, Nilsen DW. Long-term prognostic utility of pentraxin 3 and D-dimer as compared to high-sensitivity C-reactive protein and B-type natriuretic peptide in suspected acute coronary syndrome. Eur J Prev Cardiol. 2016;23(11):1130–40. https://doi.org/10.1177/2047487315619733.

    Article  PubMed  Google Scholar 

  43. Gong P, Yang SH, Li S, Luo SH, Zeng RX, Zhang Y, et al. Plasma d-dimer as a useful marker predicts severity of atherosclerotic lesion and short-term outcome in patients with coronary artery disease. Clin Appl Thromb Hemost. 2016;22(7):633–40. https://doi.org/10.1177/1076029616634885.

    Article  CAS  PubMed  Google Scholar 

  44. Charoensri N, Pornratanarangsi S. D-dimer plasma levels in NSTE-ACS patient. J Med Assoc Thail. 2011;94(Suppl 1):S39–45.

    Google Scholar 

  45. Brügger-Andersen T, Pönitz V, Staines H, Grundt H, Hetland Ø, Nilsen DW. The prognostic utility of D-dimer and fibrin monomer at long-term follow-up after hospitalization with coronary chest pain. Blood Coagul Fibrinolysis. 2008;19(7):701–7. https://doi.org/10.1097/MBC.0b013e32830b1512.

    Article  CAS  PubMed  Google Scholar 

  46. Prisco D, Antonucci E, Fedi S, Margheri M, Giglioli C, Comeglio M, et al. D-dimer increase after percutaneous transluminal angioplasty and clinical recurrence after primary revascularization in acute myocardial infarction? A pilot study. Clin Exp Med. 2001;1(4):219–24. https://doi.org/10.1007/s102380100006.

    Article  CAS  PubMed  Google Scholar 

  47. Gong X, Lei X, Huang Z, Song Y, Wang Q, Qian J, et al. D-dimer level predicts angiographic no-reflow phenomenon after percutaneous coronary intervention within 2-7 days of symptom onset in patients with ST-segment elevation myocardial infarction. J Cardiovasc Transl Res. 2020;14(4):728–34. https://doi.org/10.1007/s12265-020-09991-6.

    Article  PubMed  Google Scholar 

  48. Cheng C, Liu X-B, Bi S-J, Lu Q-H, Zhang J. Serum cystatin C levels relate to no-reflow phenomenon in percutaneous coronary interventions in ST-segment elevation myocardial infarction. PLoS One. 2019;14(8):e0220654. https://doi.org/10.1371/journal.pone.0220654.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Okafor ON, Gorog DA. Endogenous fibrinolysis: an important mediator of Thrombus formation and cardiovascular risk. J Am Coll Cardiol. 2015;65(16):1683–99. https://doi.org/10.1016/j.jacc.2015.02.040.

    Article  CAS  PubMed  Google Scholar 

  50. Gershlick AH, Stephens-Lloyd A, Hughes S, Abrams KR, Stevens SE, Uren NG, et al. Rescue angioplasty after failed thrombolytic therapy for acute myocardial infarction. N Engl J Med. 2005;353(26):2758–68. https://doi.org/10.1056/NEJMoa050849.

    Article  CAS  PubMed  Google Scholar 

  51. Sambola A, García Del Blanco B, Ruiz-Meana M, Francisco J, Barrabés JA, Figueras J, et al. Increased von Willebrand factor, P-selectin and fibrin content in occlusive thrombus resistant to lytic therapy. Thromb Haemost. 2016;115(6):1129–37. https://doi.org/10.1160/TH15-12-0985.

    Article  PubMed  Google Scholar 

  52. Kloner RA, Ganote CE, Jennings RB. The "no-reflow" phenomenon after temporary coronary occlusion in the dog. J Clin Invest. 1974;54(6):1496–508. https://doi.org/10.1172/JCI107898.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Thygesen K, Mair J, Mueller C, Huber K, Weber M, Plebani M, et al. Recommendations for the use of natriuretic peptides in acute cardiac care†: a position statement from the study group on biomarkers in cardiology of the ESC working group on acute cardiac care. Eur Heart J. 2011;33(16):2001–6. https://doi.org/10.1093/eurheartj/ehq509.

    Article  CAS  PubMed  Google Scholar 

  54. Ardissino D, Merlini PA, Bauer KA, Galvani M, Ottani F, Franchi F, et al. Coagulation activation and long-term outcome in acute coronary syndromes. Blood. 2003;102(8):2731–5. https://doi.org/10.1182/blood-2002-03-0954.

    Article  CAS  PubMed  Google Scholar 

  55. Morelli F, Schol-Gelok S, Arends LR, Boersma E, Kruip M, Versmissen J, et al. Effect of antiplatelet drugs on D-dimer levels: a systematic review and Meta-analysis. J Cardiovasc Pharmacol. 2019;73(6):343–51. https://doi.org/10.1097/FJC.0000000000000670.

    Article  CAS  PubMed  Google Scholar 

  56. Ding S, Xu S, Chen X, Wu S. Effects of atorvastatin combined with bivalirudin on coagulation function, cardiac function, and inflammatory factors of percutaneous coronary intervention in elderly patients with acute myocardial infarction. Ann Palliat Med. 2020;9(4):1905–11. https://doi.org/10.21037/apm-20-925.

    Article  PubMed  Google Scholar 

  57. Oldgren J, Budaj A, Granger CB, Khder Y, Roberts J, Siegbahn A, et al. Dabigatran vs. placebo in patients with acute coronary syndromes on dual antiplatelet therapy: a randomized, double-blind, phase II trial. Eur Heart J. 2011;32(22):2781–9. https://doi.org/10.1093/eurheartj/ehr113.

    Article  CAS  PubMed  Google Scholar 

  58. Mega JL, Braunwald E, Wiviott SD, Bassand J-P, Bhatt DL, Bode C, et al. Rivaroxaban in patients with a recent acute coronary syndrome. N Engl J Med. 2011;366(1):9–19. https://doi.org/10.1056/NEJMoa1112277.

    Article  PubMed  Google Scholar 

  59. Eikelboom JW, Connolly SJ, Bosch J, Dagenais GR, Hart RG, Shestakovska O, et al. Rivaroxaban with or without aspirin in stable cardiovascular disease. N Engl J Med. 2017;377(14):1319–30. https://doi.org/10.1056/NEJMoa1709118.

    Article  CAS  PubMed  Google Scholar 

  60. Carvalho JF, Belo A, Congo K, Neves D, Santos AR, Piçarra B, et al. Left main and/or three-vessel disease in patients with non-ST-segment elevation myocardial infarction and low-risk GRACE score: prevalence, clinical outcomes and predictors. Rev Port Cardiol. 2018;37(11):911–9. https://doi.org/10.1016/j.repc.2018.03.016.

    Article  PubMed  Google Scholar 

  61. Antoniucci D, Valenti R, Migliorini A, Moschi G, Bolognese L, Cerisano G, et al. Direct infarct artery stenting without predilation and no-reflow in patients with acute myocardial infarction. Am Heart J. 2001;142(4):684–90. https://doi.org/10.1067/mhj.2001.117778.

    Article  CAS  PubMed  Google Scholar 

  62. Qin T, Xie L, Chen MH. Meta-analysis of randomized controlled trials on the efficacy and safety of intracoronary administration of tirofiban for no-reflow phenomenon. BMC Cardiovasc Disord. 2013;13(1):68. https://doi.org/10.1186/1471-2261-13-68.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Zeng Q, Zhang LD, Wang W. A meta-analysis of randomized controlled trials investigating tirofiban combined with conventional drugs by intracoronary administration for no-reflow prevention. Anatol J Cardiol. 2021;25(1):7–16. https://doi.org/10.14744/AnatolJCardiol.2020.99469.

    Article  CAS  PubMed  Google Scholar 

  64. Rossington JA, Sol E, Masoura K, Aznaouridis K, Chelliah R, Cunnington M, et al. No-reflow phenomenon and comparison to the normal-flow population postprimary percutaneous coronary intervention for ST elevation myocardial infarction: case-control study (NORM PPCI). Open Heart. 2020;7(2):e001215. https://doi.org/10.1136/openhrt-2019-001215.

    Article  PubMed  PubMed Central  Google Scholar 

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Biccirè, F.G., Farcomeni, A., Gaudio, C. et al. D-dimer for risk stratification and antithrombotic treatment management in acute coronary syndrome patients: a systematic review and metanalysis. Thrombosis J 19, 102 (2021). https://doi.org/10.1186/s12959-021-00354-y

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