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A meta-analysis of the efficacy of allopurinol in reducing the incidence of myocardial infarction following coronary artery bypass grafting

BMC Cardiovascular Disorders volume 18, Article number: 143 (2018) Cite this article

Abstract

Background

The xanthine oxidase inhibitor allopurinol that is commonly used to treat gout, has been suggested to have pleiotropic effects that are likely to reduce the incidence of myocardial infarction (MI) in at risk individuals. The aim of this meta-analysis was to assess the efficacy of allopurinol treatment in reducing the incidence of MI.

Method

MEDLINE, Scopus, Web of Science, and Cochrane Library databases were searched for randomised controlled trials examining the efficacy of allopurinol in reducing the incidence of MI. The quality of study methodology was assessed by two independent reviewers using the Cochrane Collaboration’s tool for assessing risk of bias. This meta-analysis was conducted using a fixed-effects model, and heterogeneity was assessed with the I2 index.

Results

One thousand one hundred twenty-three citations were screened and only six studies satisfied the inclusion criterion. Published between 1988 and 1995, all studies examined the cardioprotective efficacy of allopurinol in the setting of coronary artery bypass graft (CABG). From a total pooled sample size of 229, MI was reported in 2 (1.77%) allopurinol and 14 (12.07%) control patients. A fixed-effects meta-analysis (I2 = 0%) identified a statistically significant reduced incidence of myocardial infarction (RR 0.21, 95% CI: 0.06, 0.70, p = 0.01) in patients allocated to allopurinol. However, in the leave-one-out sensitivity analyses, the treatment effect became non-significant with the removal of one of the studies.

Conclusion

Based on the limited evidence available, allopurinol appears to reduce the incidence of perioperative MI following CABG. Further research is required to confirm these findings.

Peer Review reports

Background

Myocardial infarction (MI) is a common and frequently fatal endpoint of ischaemic heart disease. The World Health Organization estimates that, every year, MI accounts for 7.3 million deaths worldwide [1]. Among survivors, MI contributes to significant long-term morbidity due to complications such as congestive cardiac failure and increased risks of recurrent MI, stroke and death. Allopurinol is a xanthine oxidase inhibitor (XOI) that is widely prescribed for the treatment of gout due to its action to lower uric acid levels. There is also growing interest in a possible role of allopurinol in preventing and treating cardiovascular disease [2,3,4]. Allopurinol has been suggested to provide cardiovascular benefits as a result of three key actions: (1) reducing serum concentrations of uric acid which has pro-inflammatory effects [2, 5, 6]; (2) inhibiting xanthine oxidase mediated generation of reactive oxygen species which promote endothelial dysfunction and atherosclerosis plaque instability [2, 3, 7,8,9,10,11,12]; and (3) inhibiting purine catabolism thereby increasing local tissue availability of adenosine triphosphate and oxygen [8, 13, 14]. Through these actions allopurinol has the potential to limit atherosclerosis, prevent acute ischaemic events and protect against ischaemia-reperfusion injury. Previous studies investigating the efficacy of allopurinol as a cardiovascular drug have led to conflicting results [3, 5, 15]. Several large human association studies have linked the long-term use of allopurinol to a decreased risk of first-ever MI, recurrent MI and non-fatal MI [16,17,18,19,20,21]. In contrast, two small randomised trials of patients with cardiac failure reported no clinical benefits of allopurinol or its active metabolite, oxypurinol [22, 23]. No previous meta-analysis has examined the efficacy of allopurinol in the prevention of MI. The aim of this study was to perform a systematic review and meta-analysis of randomised controlled trials which have examined the efficacy of allopurinol in reducing the incidence of MI.

Methods

This systematic review and meta-analysis was performed in accordance with the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) statement [24]. A comprehensive search was conducted to identify all randomised controlled trials investigating the influence of allopurinol on the incidence of MI. MEDLINE (1966), Scopus (1996), Web of Science (1965), and Cochrane Library databases (1992) were searched from inception to 1st of June 2017.The following terms were used in keyword/topic searches across all databases: [allopurinol OR XOI* OR “xanthine oxidase inhibit*”] AND [“myocardial infarct*” OR MI OR “heart attack*” OR acute MI OR “acute coronary syndrome*” OR ACS OR “myocardial ischemia” OR “myocardial ischaemia” OR “myocardial necrosis” OR STEMI OR STEACS OR NSTEMI OR NSTEACS]. No limits were applied.

Citations from all four databases were pooled and screened by four independent reviewers (A.M., S.M, D.N. and T.S). After removal of duplicate results, titles and abstracts were screened to identify studies eligible for full text review. In the event of any uncertainty, full texts were evaluated. For inclusion into this review, the following criterion were required to be met: (1) original research publication; (2) randomised controlled trial design; (3) clear comparison between patient groups on allopurinol and control groups receiving no treatment/placebo; and (4) assessment and publication of data specific to incidence of MI, in allopurinol and control groups. Studies were excluded if no English language full text was available. Reference lists of included studies were hand-searched to increase the yield of relevant studies.

Data extraction was performed by two independent reviewers (A.M and S.M.) using detailed predefined forms endorsed by the Cochrane Collaboration and tailored to the requirements of this review. Salient information on study design, allopurinol/control treatment protocol, confounding factors, MI diagnostic criterion and MI incidence were extracted. A consensus meeting was held to critically discuss the extracted data and resolve inconsistencies between reviewers.

Study quality was assessed by two independent reviewers (A.M. and S.M.) using The Cochrane Collaboration’s tool for assessing risk of bias as published in the Cochrane Handbook 5.1.0 in 2011 [25]. Randomisation, allocation concealment, blinding and outcome reporting were critically evaluated. The risks of selection bias, performance bias, detection bias, attrition bias and reporting bias were judged to be high, low or unclear based on the rubric provided in the Cochrane Handbook 5.1.0. RevMan 5.3 was used to generate a summary table comparing the risks of bias within and between included studies.

All numeric data was entered into Microsoft Excel to perform basic quantitative analyses. Summary statistics including percentage values and measures of central tendency were obtained. A meta-analysis was performed to quantify the effect of allopurinol in preventing MI. For each study and each patient cohort i.e. allopurinol and control cohorts, sample sizes and absolute numbers of MI were recorded and analysed in RevMan 5.3. The I2 statistic was used to assess statistical heterogeneity between the included studies. A value greater than 50% was considered to represent substantial heterogeneity as previously described [25]. Due to the small sample sizes, low event numbers and minimal statistical heterogeneity among all included studies, Mantel-Haenszel methods were used to generate a fixed-effects model [26].

All effect sizes were reported using risk ratios (RR) with 95% confidence intervals (CI). P-values < 0.05 were considered statistically significant. Results from these analyses were graphically presented in forest plots. Assessment of publication bias using funnel plots was planned if there were a sufficient number of studies (N ≥ 10) [27].

Results

Initial searches yielded a total of 1123 citations. After removing duplicates, 720 articles were screened for eligibility based on review of their titles and abstracts. Seven hundred and one articles were excluded and 19 full texts were chosen for full text review (Fig. 1). The most common reasons for exclusion were: (1) not a randomised controlled trial; (2) absence of a clear comparison between a patient group receiving allopurinol and a control group receiving no treatment or placebo; and (3) absence of MI as an end-point that was reported [28]. Overall, 6 studies were chosen for inclusion into qualitative analysis [15, 29,30,31,32,33], of which 4 were specifically included in the meta-analysis [30,31,32,33].

Fig. 1
figure 1

Outline of the study selection for this systematic review and meta-analysis

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All six studies examined the cardioprotective efficacy of allopurinol in the setting of coronary artery bypass (CABG) surgery and were published between 1988 and 1995 (Table 1). Of these, four studies included patients undergoing elective CABG [15, 30, 32, 33] and two studies did not specify if participants underwent urgent or non-urgent CABG [29, 31]. Coghlan et al. (1994) exclusively recruited patients undergoing their first CABG [31]. Other studies did not specify if participants had previously undergone CABG surgery [15, 29, 30, 32, 33]. Sample sizes across the included studies ranged from 14 to 90 patients (mean = 38). In the assessed studies, the definition of MI varied (Additional file 1: Table S1) [15, 29,30,31,32,33].

Table 1 Study characteristics
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All included studies utilised on-pump CABG; however, methods of myocardial protection varied. Cardioplegic cardiac arrest was used in five studies [29,30,31,32,33], including a small subset of patients (n = 13) studied by Coghlan et al. (1994). Cardioplegia was most commonly achieved with St. Thomas’ II cardioplegic solution. In contrast, intermittent ischaemic arrest was applied in two studies [15, 31], including a large subset of patients (n = 37) studied by Coghlan et al. (1994). Five studies employed hypothermia in the range of 27–34 degrees Celsius [15, 30,31,32,33]. There was significant variation in the reporting of baseline variables, and there was minimal reporting of relevant risk factors (Table 2). In total, 229 patients were studied. With respect to reported patient characteristics, including age, sex and preoperative ejection fraction, three studies explicitly stated that there were no statistically significant differences between the treatment groups [15, 31, 33].

Table 2 Participants characteristics
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With regards to operative factors, all included studies reported the average duration of ischaemia or aortic cross-clamp time (mean = 62.69 min) [15, 29,30,31,32,33]. However, average extra-corporeal perfusion time was only described in four studies (mean = 115.53 min) [15, 30, 31, 33]. Five studies presented data on the average number of grafts placed during CABG (mean = 3.22) [15, 29, 31,32,33]. In contrast, Rashid et al. (1991) reported the average number of peripheral anastomoses [30]. Notably, no study commented on the average duration of surgery or target-artery quality within their study populations, which are factors known to be associated with the risk of perioperative MI in patients undergoing CABG [34]. With respect to reported intraoperative factors, including number of grafts, and bypass and cross clamp times, only three studies explicitly stated that the allopurinol and control cohorts were statistically similar [15, 31, 33].

Table 3 details MI diagnostic criterion and follow-up periods for all included studies. All included studies focused on the diagnosis of MI in the perioperative setting. Only Coghlan et al. (1994), Taggart et al. (1994) and Gimpel et al. (1995) specified the exact duration of follow up [15, 31, 33]. All six studies described the use of specific criterion for the diagnosis of MI however no study reported on the sensitivity and specificity of their respective criterion [15, 29,30,31,32,33]. Five studies described the combined use of electrocardiogram findings and enzyme studies [15, 29, 30, 32, 33]. In contrast, Coghlan et al. (1994) relied solely upon electrocardiogram criterion for diagnosis [15, 31]. Only Taggart et al. (1994) reported the use of cardiac troponins (cTnT) in conjunction with the creatine kinase-myocardial b isoenzyme for the diagnosis of MI [15]. Nevertheless, the diagnostic criteria reported in all included studies may be considered to be valid for the diagnosis of MI at the time the trials were published [15, 29,30,31,32,33]. Collating results from all included studies [15, 29,30,31,32,33], MI was reported in 16 (6.99%) study participants. Within the pooled allopurinol cohort (n = 113), MI was reported in 2 (1.77%) patients. In comparison, MI was diagnosed in 14 (12.07%) patients of the pooled control cohort (n = 116). Only one study recorded a statistically significant reduction in the incidence of perioperative MI among patients administered allopurinol (p < 0.01) [30].

Table 3 Incidence of MI in the included studies by treatment allocation
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As methods of randomisation and allocation concealment were frequently unreported, the risks of selection bias were largely unclear (Table 4). Three studies described the use of coin tossing, random number tables and computer programmes to achieve randomisation [15, 30, 31]. Additionally, Coghlan et al. (1994) detailed the use of identical, sequentially numbered drug containers to conceal allocation [31]. Hence, these studies were deemed to carry low risks of selection bias. Only Coghlan et al. (1994) employed a double-blinded, placebo-controlled study design wherein the blinding code remained unbroken until all outcome assessments were completed [31]. In Rashid et al. (1991), there was incomplete blinding of clinical staff and it was unclear if all outcome assessors were blinded to the treatment groups [30]. Excluding the above mentioned studies, blinding of clinical staff and outcome assessors were not discussed in any other study [15, 29, 32, 33]. Patient blinding was only reported in the trial authored by Coghlan et al. (1994) [15, 29, 30, 32, 33]. Therefore, only the study reported by Coghlan et al. (1994) could be determined to carry a low risk of performance and detection bias [31].

Table 4 Risk of Bias
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Five of the six included studies reported complete follow-up of all randomised patients and intention-to-treat analyses [15, 30,31,32,33]. Thereby, the risk of attrition bias was generally low. Bias also arose from selective reporting. For example, Castelli et al. (1995) did not report on pre-defined haemodynamic outcomes such as peripheral blood pressure after CABG. Similarly, Emerit et al. (1988), and Coghlan et al. (1994) did not present data on predefined clinical outcomes such as the incidence of postoperative arrhythmias, haemorrhage and reoperation [29, 31]. Two included studies also had other potential sources of bias [31, 32]. In particular, Coghlan et al. (1994) and Castelli et al. (1995) measured multiple primary outcomes from small, non-randomly selected, patient sub-groups [31, 32].

Combining all included studies (n = 6), an I2 statistic of 0% was obtained [15, 29,30,31,32,33]. Based on guidelines from the Cochrane Handbook 5.1.0, this value represents non-significant heterogeneity [25]. Using a fixed-effects model, allopurinol was found to significantly reduce the incidence of MI (RR 0.21; 95% CI: 0.06–0.70; p = 0.01) (Fig. 2). In the leave-one-out sensitivity analysis (Additional file 1: Table S2), the treatment effect became non-significant with the removal of the trial reported by Rashid et al. (1991). Due to the small number of studies included within this review (i.e N < 10), the potential influence of publication bias could not be assessed reliably.

Fig. 2
figure 2

Forest plot illustrating risk ratios for MI in participants on Allopurinol treatment. Square boxes indicate risk ratios in the primary studies for the risk of MI. The size of the box reflects the statistical weight of the study. Horizontal lines indicate the 95% confidence intervals (CI). The diamond represents the overall risk ratio and 95% CI (RR 0.21, 95% CI 0.06–0.70, p = 0.01), calculated using a fixed effects meta-analysis

Full size image

Discussion

In this systematic review and meta-analysis, allopurinol was found to significantly decrease the incidence of perioperative MI in patients undergoing CABG. The treatment effect of allopurinol was found to be greatest in the trial conducted by Rashid et al. (RR 0.06 95% CI: 0.00–0.99, p = 0.05), wherein patients had the largest and longest exposure to allopurinol i.e. 3000 mg, over five days. Furthermore, sensitivity analyses suggested that removal of the latter trial led to the treatment effect becoming non-significant.

In the context of previous research within this field, the findings of this review are not isolated. Among patients undergoing CABG and cardiac valve replacement surgery, Tabayashi et al. (1991) found that high-dose allopurinol administration significantly decreased ischaemic markers including aspartate transaminase, creatine kinase and lactate dehydrogenase in the postoperative period [35]. Similarly, in a double-blind, placebo-controlled study, Movahed et al. (1996) reported that allopurinol could decrease lipid peroxidation as evidenced by reduced malondialdehyde levels and attenuate ischaemic injury as measured by creatine kinase-myocardial b isoenzyme levels [36].

There are a number of proposed mechanisms which could explain the cardioprotective effects of allopurinol [37]. Firstly by lowering circulating concentrations of uric acid. Elevated serum uric acid levels have been associated with increased levels of proinflammatory cytokines, increased oxidation of low-density lipoprotein (LDL) and release of platelet constituents and subsequent pro-thrombotic effects [6, 38]. Perhaps most striking is uric acids putative role in hypertension via inhibiting nitric oxide production and promoting the effects of angiotensin II [5, 39, 40]. In contrast, it has also been suggested that elevated serum uric acid levels following ischaemic insult denotes a physiological and protective response to oxidative stress [41, 42]. Secondly, allopurinol is thought to inhibit xanthine oxidase mediated generation of reactive oxygen species, limiting endothelial dysfunction and atherosclerosis plaque instability [2, 3, 7,8,9,10,11,12]. In response to xanthine oxidase inhibition, serum markers of oxidative stress have been shown to reduce in subjects with a range of cardiovascular diseases [2]. Finally, it has also been suggested that allopurinol inhibits purine catabolism thereby increasing local tissue availability of adenosine triphosphate and oxygen [8, 13, 14]. In an animal model study by Ekuland et al. (1999), allopurinol was reported to posses ionotropic properties while simultaneously reducing energy requirements and myocardial oxygen consumption [14].

Interestingly, randomised controlled trials investigating the cardioprotective efficacy of allopurinol have largely focussed on operative settings such as CABG surgery. Therefore, this review could not explore if long-term allopurinol exposure decreased the risk of MI in other settings. This represents a major gap in our knowledge. Additionally, all trials included in this review were small-scale studies published some years ago. Included studies were limited to the English language and it is possible that this may have introduced bias in our analysis. As Consolidated Standards of Reporting Trials was not well established at the time, there were significant discrepancies in the reporting of randomisation, blinding and outcome assessment. Moreover, surgical techniques and MI diagnostic algorithms have changed substantially since these studies were published and as such, it is unclear if and to what extent, these results are applicable to current clinical practice. In light of these insights, further research is required to better understand the potential benefits of allopurinol in MI prevention. Large trials are needed to definitively corroborate the cardioprotective efficacy of allopurinol, over longer follow up durations. Additional studies are also required to determine whether the cardiovascular benefits of allopurinol are dose dependant as previously suggested [43, 44]. The ALL-HEART [45] study is a multi-centre randomised controlled trial which is investigating the impact of high-dose allopurinol therapy (600 mg daily) on major cardiovascular outcomes (non-fatal MI, non-fatal stroke, or cardiovascular death) in patients with ischaemic heart disease with an expected average follow-up of 4 years. It is hoped that evidence from such trials will help confirm the potential cardiovascular benefits of allopurinol prescription.

Conclusion

Based on limited evidence from small randomised trials published over twenty years ago, allopurinol appears to decrease the incidence of perioperative MI following CABG. However, further research is required to confirm and characterise the relationship between allopurinol and cardiovascular outcomes including MI.

Abbreviations

CABG:

Coronary artery bypass

CI:

Confidence intervals

LDL:

Low-density lipoprotein

MI:

Myocardial infarction

RR:

Risk ratio

XOI:

Xanthine oxidase inhibitor

References

  1. Puska P, Mendis S, Norrving B, Organization WH. Global atlas on cardiovascular disease prevention and control. Geneva: World Health Organization; 2011.

    Google Scholar 

  2. Higgins P, Dawson J, Walters M. The potential for xanthine oxidase inhibition in the prevention and treatment of cardiovascular and cerebrovascular disease. Cardiovasc Psychiatry Neurol. 2009;2009

  3. Higgins P, Dawson J, Lees KR, McArthur K, Quinn TJ, Walters MR. Xanthine oxidase inhibition for the treatment of cardiovascular disease: a systematic review and meta-analysis. Cardiovasc Ther. 2012;30(4):217–26.

    Article  PubMed  CAS  Google Scholar 

  4. Guedes M, Esperança A, Pereira AC, Rego C. What is the effect on cardiovascular events of reducing hyperuricemia with allopurinol? An evidence-based review. Revista Portuguesa de Cardiologia (English Edition). 2014;33(11):727–32.

    Article  Google Scholar 

  5. Corry DB, Eslami P, Yamamoto K, Nyby MD, Makino H, Tuck ML. Uric acid stimulates vascular smooth muscle cell proliferation and oxidative stress via the vascular renin–angiotensin system. J Hypertens. 2008;26(2):269–75.

    Article  PubMed  CAS  Google Scholar 

  6. Ginsberg M, Kozin F, O'malley M, McCarty D. Release of platelet constituents by monosodium urate crystals. J Clin Investig. 1977;60(5):999.

    Article  PubMed  CAS  Google Scholar 

  7. Pacher P, Nivorozhkin A, Szabó C. Therapeutic effects of xanthine oxidase inhibitors: renaissance half a century after the discovery of allopurinol. Pharmacol Rev. 2006;58(1):87–114.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Struthers A, Shearer F. Allopurinol: novel indications in cardiovascular disease. Heart. 2012;98(21):1543–5.

    Article  PubMed  CAS  Google Scholar 

  9. Lakshmi SV, Padmaja G, Kuppusamy P, Kutala VK. Oxidative stress in cardiovascular disease. 2009.

    Google Scholar 

  10. Bagi Z, Ungvari Z, Koller A. Xanthine oxidase–derived reactive oxygen species convert flow-induced arteriolar dilation to constriction in hyperhomocysteinemia. Arterioscler Thromb Vasc Biol. 2002;22(1):28–33.

    Article  PubMed  CAS  Google Scholar 

  11. Mervaala EM, Cheng ZJ, Tikkanen I, Lapatto R, Nurminen K, Vapaatalo H, et al. Endothelial dysfunction and xanthine oxidoreductase activity in rats with human renin and angiotensinogen genes. Hypertension. 2001;37(2):414–8.

    Article  PubMed  CAS  Google Scholar 

  12. Mügge A, Brandes R, Böger R, Dwenger A, Bode-Böger S, Kienke S, et al. Vascular release of superoxide radicals is enhanced in hypercholesterolemic rabbits. J Cardiovasc Pharmacol 1994;24(6):994&hyhen.

  13. Khatib S, Farah H, El-Migdadi F. Allopurinol enhances adenine nucleotide levels and improves myocardial function in isolated hypoxic rat heart. Biochem Mosc. 2001;66(3):328–33.

    Article  CAS  Google Scholar 

  14. Ekelund UE, Harrison RW, Shokek O, Thakkar RN, Tunin RS, Senzaki H, et al. Intravenous allopurinol decreases myocardial oxygen consumption and increases mechanical efficiency in dogs with pacing-induced heart failure. Circ Res. 1999;85(5):437–45.

    Article  PubMed  CAS  Google Scholar 

  15. Taggart D, Young V, Hooper J, Kemp M, Walesby R, Magee P, et al. Lack of cardioprotective efficacy of allopurinol in coronary artery surgery. Br Heart J. 1994;71(2):177–81.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. de Abajo FJ, Gil MJ, Rodríguez A, García-Poza P, Álvarez A, Bryant V, et al. Allopurinol use and risk of non-fatal acute myocardial infarction. Heart. 2015;101(9):679–85. https://doi.org/10.1136/heartjnl-2014-306670.

    Article  PubMed  CAS  Google Scholar 

  17. Grimaldi-Bensouda L, Alpérovitch A, Aubrun E, Danchin N, Rossignol M, Abenhaim L, et al. Impact of allopurinol on risk of myocardial infarction. Annals of the Rheumatic Diseases. 2015;74(5):836–42.

  18. Singh JA, Yu S. Allopurinol reduces the risk of myocardial infarction (MI) in the elderly: a study of Medicare claims. Arthritis Res Ther. 2016;18(1):209.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Goicoechea M, de Vinuesa SG, Verdalles U, Verde E, Macias N, Santos A, et al. Allopurinol and progression of CKD and cardiovascular events: long-term follow-up of a randomized clinical trial. Am J Kidney Dis. 2015;65(4):543–9.

    Article  PubMed  CAS  Google Scholar 

  20. Larsen KS, Pottegård A, Lindegaard HM, Hallas J. Effect of allopurinol on cardiovascular outcomes in hyperuricemic patients: a cohort study. Am J Med 2016;129(3):299–306. e2.

  21. Rentoukas E, Tsarouhas K, Tsitsimpikou C, Lazaros G, Deftereos S, Vavetsi S. The prognostic impact of allopurinol in patients with acute myocardial infarction undergoing primary percutaneous coronary intervention. Int J Cardiol. 2010;145(2):257–8.

    Article  PubMed  CAS  Google Scholar 

  22. Givertz MM, Anstrom KJ, Redfield MM, Deswal A, Haddad H, Butler J, et al. Effects of xanthine oxidase inhibition in Hyperuricemic heart failure PatientsCLINICAL PERSPECTIVE. Circulation. 2015;131(20):1763–71.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Hare JM, Mangal B, Brown J, Fisher C, Freudenberger R, Colucci WS, et al. Impact of oxypurinol in patients with symptomatic heart failure: results of the OPT-CHF study. J Am Coll Cardiol. 2008;51(24):2301–9.

    Article  PubMed  CAS  Google Scholar 

  24. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Minges KE, Zimmet P, Magliano DJ, Dunstan DW, Brown A, Shaw JE. Diabetes prevalence and determinants in indigenous Australian populations: a systematic review. Diabetes Res Clin Pract. 2011;93(2):139–49.

    Article  PubMed  Google Scholar 

  26. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–48.

    PubMed  CAS  Google Scholar 

  27. Sterne JA, Gavaghan D, Egger M. Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature. J Clin Epidemiol. 2000;53(11):1119–29.

    Article  PubMed  CAS  Google Scholar 

  28. Separham A, Ghaffari S, Najafi H, Ghaffari R, Ziaee M, Babaei H. The impact of allopurinol on patients with acute ST elevation myocardial infarction undergoing thrombolytic therapy. J Cardiovasc Pharmacol. 2016;68(4):265–8.

    Article  PubMed  CAS  Google Scholar 

  29. Emerit I, Fabiani J-N, Ponzio O, Murday A, Lunel F, Carpentier A. Clastogenic factor in ischemia-reperfusion injury during open-heart surgery: protective effect of allopurinol. Ann Thorac Surg. 1988;46(6):619–24.

    Article  PubMed  CAS  Google Scholar 

  30. Rashid MA, William-Olsson G. Influence of allopurinol on cardiac complications in open heart operations. Ann Thorac Surg. 1991;52(1):127–30.

    Article  PubMed  CAS  Google Scholar 

  31. Coghlan J, Flitter W, Clutton S, Panda R, Daly R, Wright G, et al. Allopurinol pretreatment improves postoperative recovery and reduces lipid peroxidation in patients undergoing coronary artery bypass grafting. J Thorac Cardiovasc Surg. 1994;107(1):248–56.

    PubMed  CAS  Google Scholar 

  32. Castelli P, Condemi AM, Brambillasca C, Fundarò P, Botta M, Lemma M, et al. Improvement of cardiac function by allopurinol in patients undergoing cardiac surgery. J Cardiovasc Pharmacol. 1995;25(1):119–25.

    Article  PubMed  CAS  Google Scholar 

  33. Gimpel JA, Lahpor JR, van der Molen A-J, Damen J, Hitchcock JF. Reduction of reperfusion injury of human myocardium by allopurinol: a clinical study. Free Radic Biol Med. 1995;19(2):251–5.

    Article  PubMed  CAS  Google Scholar 

  34. Yau JM, Alexander JH, Hafley G, Mahaffey KW, Mack MJ, Kouchoukos N, et al. Impact of perioperative myocardial infarction on angiographic and clinical outcomes following coronary artery bypass grafting (from PRoject of ex-vivo vein graft ENgineering via transfection [PREVENT] IV). Am J Cardiol. 2008;102(5):546–51.

    Article  PubMed  Google Scholar 

  35. Tabayashi K, Suzuki Y, Nagamine S, Ito Y, Sekino Y, Mohri H. A clinical trial of allopurinol (Zyloric) for myocardial protection. J Thorac Cardiovasc Surg. 1991;101(4):713–8.

    PubMed  CAS  Google Scholar 

  36. Movahed A, Nair K, Ashavaid T, Kumar P. Free radical generation and the role of allopurinol as a cardioprotective agent during coronary artery bypass grafting surgery. Can J Cardiol. 1996;12(2):138–44.

    PubMed  CAS  Google Scholar 

  37. Dawson J, Walters M. Uric acid and xanthine oxidase: future therapeutic targets in the prevention of cardiovascular disease? Br J Clin Pharmacol. 2006;62(6):633–44.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. De Scheerder I, Van de Kraay A, Lamers J, Koster J, de Jong JW, Serruys P. Myocardial malondialdehyde and uric acid release after short-lasting coronary occlusions during coronary angioplasty: potential mechanisms for free radical generation. Am J Cardiol. 1991;68(4):392–5.

    Article  PubMed  CAS  Google Scholar 

  39. Saito I, Saruta T, Kondo K, Nakamura R, Oguro T, Yamagami K, et al. Serum uric acid and the renin-angiotensin system in hypertension. J Am Geriatr Soc. 1978;26(6):241–7.

    Article  PubMed  CAS  Google Scholar 

  40. Mazzali M, Kanellis J, Han L, Feng L, Xia Y-Y, Chen Q, et al. Hyperuricemia induces a primary renal arteriolopathy in rats by a blood pressure-independent mechanism. Am J Physiol Renal Physiol. 2002;282(6):F991–F7.

    Article  PubMed  CAS  Google Scholar 

  41. Nieto FJ, Iribarren C, Gross MD, Comstock GW, Cutler RG. Uric acid and serum antioxidant capacity: a reaction to atherosclerosis? Atherosclerosis. 2000;148(1):131–9.

    Article  PubMed  CAS  Google Scholar 

  42. Waring W. Uric acid: an important antioxidant in acute ischaemic stroke. QJM. 2002;95(10):691–3.

    Article  PubMed  CAS  Google Scholar 

  43. Guthikonda S, Sinkey C, Barenz T, Haynes WG. Xanthine oxidase inhibition reverses endothelial dysfunction in heavy smokers. Circulation. 2003;107(3):416–21.

    Article  PubMed  CAS  Google Scholar 

  44. MacIsaac RL, Salatzki J, Higgins P, Walters MR, Padmanabhan S, Dominiczak AF, et al. Allopurinol and cardiovascular outcomes in adults with HypertensionNovelty and significance. Hypertension. 2016;67(3):535–40.

    Article  PubMed  CAS  Google Scholar 

  45. Mackenzie IS, Ford I, Walker A, Hawkey C, Begg A, Avery A, et al. Multicentre, prospective, randomised, open-label, blinded end point trial of the efficacy of allopurinol therapy in improving cardiovascular outcomes in patients with ischaemic heart disease: protocol of the ALL-HEART study. BMJ Open. 2016;6(9):e013774.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Jonathan Golledge holds a Practitioner Fellowship from the National Health and Medical Research Council, Australia (1117061) and a Senior Clinical Research Fellowship from the Office of Health and Medical Research. Joseph V Moxon holds an Advance Queensland Mid-Career fellowship from the Queensland Government. Tejas P Singh holds a Junior Doctor Research Fellowship from the Queensland Government.

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  1. Tejas P. Singh, Tristan Skalina, Daniel Nour and Aarya Murali contributed equally to this work.

Authors and Affiliations

  1. Queensland Research Centre for Peripheral Vascular Disease, College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia

    Tejas P. Singh, Tristan Skalina, Daniel Nour, Aarya Murali, Sean Morrison, Joseph V. Moxon & Jonathan Golledge

  2. The Department of Vascular and Endovascular Surgery, The Townsville Hospital, Townsville, QLD, Australia

    Tejas P. Singh & Jonathan Golledge

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  1. Tejas P. Singh
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  2. Tristan Skalina
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Contributions

JG and JVM conceived and critically revised the manuscript. TPS, TS, DN and AM equally contributed to the composition of the manuscript, data collection and presentation. TPS and AM conducted the statistical analyses. SM assisted with the literature search and quality assessment. All authors critically revised the manuscript and approved of the final manuscript.

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Correspondence to Jonathan Golledge.

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Additional file

Additional file 1:

Table S1. Diagnostic criteria for MI. Table S2. Sensitivity Analyses using the leave-one-out approach. (DOCX 18 kb)

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Singh, T.P., Skalina, T., Nour, D. et al. A meta-analysis of the efficacy of allopurinol in reducing the incidence of myocardial infarction following coronary artery bypass grafting. BMC Cardiovasc Disord 18, 143 (2018). https://doi.org/10.1186/s12872-018-0881-6

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Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

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