The Prediction of Cardiac Events in Patients with Acute ST Segment Elevation Myocardial Infarction: A Meta–analysis of Serum Uric Acid

Abstract

Objective

The current study aimed to explore the predictive ability of serum uric acid (SUA) in patients suffering from acute ST segment elevation myocardial infarction (STEMI).

Method

PubMed, EMBASE, Cochrane Library, and Medline databases were systematically searched from their respective inceptions to February 2018. Systematic analysis and random-effects meta–analysis of prognostic effects were performed to evaluate STEMI outcomes [i.e., in-hospital mortality, one-year mortality, in-hospital Major Adverse Cardiovascular Events (MACE)] in relation to SUA.

Results

A total of 12 studies (containing 7,735 patients with acute STEMI) were identified (5,562 low SUA patients and 3,173 high SUA patients). Systematic analysis of these studies showed that high SUA patients exhibited a higher incidence of in-hospital MACE (OR, 2.30; P < 0.00001), in-hospital mortality (OR, 3.03; P < 0.0001), and one-year mortality (OR, 2.58; P < 0.00001), compared with low SUA patients.

Conclusions

Acute STEMI patients with high SUA exhibited an elevated incidence rate of in-hospital MACE, in-hospital mortality, and one-year mortality. Further randomized controlled trials will be needed to verify these results.

1. Introduction

The effects of serum uric acid (SUA) on the in-hospital and one-year follow-up prognosis in patients with acute ST segment elevation myocardial infarction (STEMI) are debatable, and clinical application of its measurement remains uncertain. Uric acid (UA) is the end–point degradation product of purine nucleotides and can be synthesized by several different types of tissue, including those outside the muscles of the cardiovascular system. Within tissues, UA increases rapidly and is then released into the vascular lumen. Once there, a decrease in intracellular pH and a reversal of negative membrane potential occurs. According to studies, synthesis of UA and the activity of xanthine oxidase both increase in cases of myocardial ischemia [1, 2, 3]. The Thrombolysis in Myocardial Infarction (TIMI) scores can be converted to clinical risk scores to develop prognoses for patients suffering from acute coronary syndrome. An increase or decrease in UA/ xanthine oxidase status is used to determine risk factor [4]. A previous study from our lab discovered that the level of SUA is closely related to patients with acute STEMI [5, 6]. Thus, SUA can be used as a predictor of STEMI in patients. Furthermore, studies have shown that the inclusion of SUA in risk scores increases the accuracy risk prediction. The current study conducted a meta–analysis to explore the difference between high and low SUA in STEMI patients.

2. Methods

2.1. Search methods

PubMed, EMBASE, Ovid Medline, and Cochrane Library databases were systematically searched from their respective inceptions through to February 2018. The following MeSH terms and keywords were included in the search strategy to identify articles in English: “uric acid or UA,” “hyperuricemia,” “acute myocardial infarction or AMI,” “ST segment elevation myocardial infarction or STEMI,” and “Acute coronary syndrome or ACS.”

2.2. Study choice

All studies of STEMI patients with high and low SUA were examined. According to the SUA level, SUA-positive and SUA-negative groups were classified. The positive and negative groups had patients with elevated or normal SUA levels, as defined by each study. Our study enrolled only randomized controlled trials (RCTs) of STEMI patients in which follow-up data of SUA levels were measured during hospitalization. We removed non RCTs, studies covering non-ST segment elevation myocardial infarction (NSTEMI), studies covering unstable angina, and studies without follow-up results. No restrictions were placed on the study results. All of the analyses were based on previously published studies; thus no ethical approval or patient consent was required.

2.3. Data extraction and quality assessment

Data from each study regarding research design, lead author, sample size, research location, clinical baseline characteristics, proportion of percutaneous coronary intervention patients, and follow-up duration were abstracted by three independent reviewers (Wang, H.L., Yang, J.J., and Pang, X.H.). In-hospital MACE, in-hospital mortality, and one-year mortality were assessed. In-hospital MACE was defined as the primary endpoint.

2.4. Statistical analysis

The individual risk of bias for each study was evaluated via Cochrane’s risk assessment tool. Data collation was conducted based upon the PRISMA Statement and guidelines set forth by the Cochrane Collaboration. Meta–analysis was performed using Review Manager 5.1 (RevMan). Heterogeneity between studies was calculated by a chi-square tests of heterogeneity and the I² statistics of inconsistency. I² values were 75%, 50%, and 25%, specific to the definition of high, moderate, and low heterogeneity, respectively. The random effect risk ratios (RR) were calculated with 95% confidence intervals (95% CI) for the convenience of individual comparison. A P < 0.05 was set for statistical significance. Test values were two-tailed. Begg’s funnel plot analyses, Begg’s log-rank tests, and Egger’s tests were conducted to evaluate publication bias and small research effects.

3. Results

3.1. Study selection

A total of 1,421 articles were identified involving both UA and acute STEMI from the PubMed, Medline, EMBASE, and Cochrane databases (through February 2018). Of these, 524 repeated articles were excluded, and 852 articles were found to be inappropriate given the goals of the current study. The full texts of 45 studies were carefully reviewed. A total of 12 studies, with a total of 7,357 patients, were analyzed (Figure 1) [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]. Table 1 shows baseline characteristics of the analyzed studies and Table 2 presents the population characteristics for each study.

Figure 1.

Search strategy conducted for all included trials. Abbreviations: MeSH, medical subject headings.

Table 1.

Baseline characteristics of randomized studies.

Randomized studies	Year	Sample size		Inclusion criteria	Exclusion criteria	Endpoints	Follow-up period
		Low UA	High UA
Basar et al	2011	140	45	All patients with the diagnosis of STEMI within 12 hours from the onset of symptoms,cardiogenic shock within 24 hours.	Patients with culprit lesion in the left main coronary artery, previous CABG, end-stage renal disease, hepatic or hemolytic disorders, concomitant inflammatory diseases, neoplastic diseases, recent major surgical procedures, trauma, and any systemic disorders.	All-cause mortality,Major Adverse Cardiovascular Events.	During hospitalization or one year
Wang et al	2012	178	98	Patients with the diagnosis of STEMI within 12 hours from the onset of symptoms undergoing primary PCI.	Patients with hrombolysis treatment within 24 hours, oncomitant inflammatory diseases, autoimmune disorders, neoplastic diseases,liver or kidney failure.	Major Adverse Cardiovascular Events.	During hospitalization
Mehmet et al	2012	1643	606	STEMI patients with underwent primary PCI.	PCI was not performed, UA values were missing or unavailable, or no follow-up was documented after primary PCI.	All-cause mortality, Major Adverse Cardiovascular Events.	During hospitalization
Li et al	2012	383	119	Consecutive patients with STEMI, given standard treatment.	The patients who had liver and kindey diseases, gout, alcoholism and violent exercise.	All-cause mortality.	During hospitalization
Bita et al	2012	127	57	The patients with acute STEMI.	Not receive thrombolytic therapy during the first six hours after the onset of chest pain; cardiogenic shock; previous pacemaker implantation; a recent myocardial infarction (<3 months); severe valvular disease; renal function impaired(serum creatinine level >1.5 mg/dl); cases of hypothyroidism, malignancy, gout or other inflammatory diseases and using corticosteroid or cytotoxic drugs.	All-cause mortality.	During hospitalization
Chiara et al	2012	436	207	Consecutive patients with STEMI (within 12 h from symptoms onset)after primary percutaneous coronary intervention (PCI).	no exclusion criteria.	All-cause mortality.	During hospitalization
Ozgur et al	2014	291	143	Patients with STEMI, > 30 minutes of continuous typical chest pain, ST-segment elevation / 2 mm in two contiguous electrocardiography leads within 12 hours of symptom onset, or evidence of continuing ischemia or hemodynamic instability for up to 18 hours.	Patients with no indication of PCI , not suitable for PCI, missing or unavailable data about uric acid level upon admission.	All-cause mortality,Major Adverse Cardiovascular Events.	During hospitalization
Emine et al	2014	479	107	Patients with STEMI.	patients who had no UA measurements and who had to be sent to another cardiology center for rescue percutaneous transluminal coronary angioplasty (PTCA).	All-cause mortality.	During hospitalization
Chiara et al	2015	220	109	Patients with STEMI (within 12 h from symptoms onset), submitted to primary PCI, and eGFR below 60 ml/min/1.73m2.	no exclusion criteria.	All-cause mortality	During hospitalization or one year
Reza et al	2016	518	90	Patients with STEMI.	Patients with liver disease, progressive kidney disorders (creatinine >1.8), gout, alcoholism or taking antihyperuricemic drugs. Patients with previous history of diuretic and losartan use, also patients with previous history of MI.	All-cause mortality	During hospitalization
Mora-Ramirez et al	2017	504	291	Patients with STEMI,SUA measurement on admission; underwent myocardial reperfusion therapy(thrombolytic therapy or primary percutaneous coronary intervention) within 12 hours of onset.	Patients with current use of uric acid-lowering drugs(e.g. allopurinol, probenecid, benzbromarone) or thiazides, active neoplastic disease,end-stage renal disease with dialyss,history of gouty arthritis or urolithiasis; and missing values in the data registry.	All-cause mortality,Major Adverse Cardiovascular Events.	During hospitalization
Cheng-Wei et al	2017	643	301	The STEMI patients who presented to our Emergency Department directly.	patients without definite door-to-balloon time, mainly those who were transferred from another hospital, those who were transferred from our outpatient department, and those who had in-hospital STEMI.	All-cause mortality.	one year

Table 2.

Patient characteristics in each randomized trial.

Study	Groups (SUA)	Age mean	Male sex (n)	Smoking history (n)	Hypertension (n)	Diabetes mellitus (n)	Previous aspirin(n)
Basar et al	Low	58.2 ±9.7	112	85	40	29	33
	High	60.4 ± 9.8	36	30	21	10	12
Wang et al	Low	56 ±11	139	106	89	45	17
	High	57±11	82	66	50	26	10
Mehmet et al	Low	55.9±11.6	1393	960	585	370	NA
	High	60.5±12.6	460	306	308	172	NA
Li et al	Low	61.19±14.06	335	NA	197	110	NA
	High	61.51±14.01	82	NA	60	41	NA
Bita et al	Low	NA	99	69	40	42	NA
	High	NA	28	16	28	21	NA
Chiara et al	Low	NA	NA	NA	NA	NA	NA
	High	NA	NA	NA	NA	NA	NA
Ozgur et al	Low	54.8±11.6	70	223	97	61	NA
	High	56.8±13.9	23	98	54	28	NA
Emine et al	Low	60	81	176	142	185	496
	High	66	38	34	28	45	102
Chiara et al	Low	NA	111	76	160	70	NA
	High	NA	66	55	72	25	NA
Reza et al	Low	61.8±13.4	378	NA	216	96	NA
	High	67.5±12.4	58	NA	51	21	NA
Mora-Ramirez	Low	57.6±11.3	448	304	206	195	501
et al	High	61.2±11.9	220	156	158	115	288
Cheng-Wei et al	Low	56	571	428	366	165	635
	High	58	263	188	183	70	290

NA: not available

3.2. Begg’s funnel plot analysis and quality assessment

A Begg’s funnel plot showed no obvious asymmetry in the prognostic value of SUA in acute STEMI. Furthermore, all of the studies were evaluated as demonstrating a low risk of bias. Therefore, it is concluded that the meta–analysis exhibits no obvious publication bias. The quality assessment of RCTs included in this meta–analysis is shown in Figure 2.

Figure 2.

Assessment of the quality of selected RCTs. Low risk of bias (green circles), unclear risk of bias (yellow circles) and high risk of bias (red circles).

3.3. Outcome of In-hospital MACE

The incidence of in-hospital MACE during the in-hospital period was 13.5% in high SUA patients vs. 6.6% in low SUA patients. According to the five studies which provided data for in-hospital MACE, no heterogeneity was observed amongst the results (P = 0.41, I² =0%). The incidence of in-hospital MACE in the high SUA group was significantly higher than that in the low SUA group (OR, 2.30; 95% CI, 1.83–2.88; P < 0.00001; Figure 3)

Figure 3.

Fixed-effect meta–analysis for In-hospital MACE. The figure presents the number of events, the number of patients in the treatment and control groups, the odds ratio (OR) and 95% confidence interval (CI) for each trial, the overall OR estimate with 95% CI and the P value for the association test, the P value for the heterogeneity test, and between-trial inconsistency (I²) measures.

3.4. Outcomes of In-hospital mortality

The incidence of in-hospital mortality during in-hospital period was 9.2% in high SUA patients vs. 3.4% in low SUA patients, which was a statistically significant difference (I² = 0%; OR: 3.03, 95% CI: 1.78–5.13; P < 0.0001; Figure 4).

Figure 4.

Fixed-effect meta–analysis for In-hospital mortality.

3.5. Outcome of one-year mortality

The incidence of one-year mortality during the follow-up period was 14.4% in high SUA patients vs. 6.1% in low SUA patients, which represented a significant difference (I² = 0%; OR: 2.5, 95%CI: 1.75–3.80; P < 0.00001; Figure 5).

Figure 5.

Fixed-effect meta–analysis for one-year hospital.

4. Discussion

There was no significant difference between Egger’s test results and those patients studied. Based on the funnel plot analysis, a consistency was observed between the symmetry and publication bias. UA is the final degradation product of purine metabolism. The value of SUA was shown in our meta–analysis as an effective prognostic biomarker of future adverse events in acute STEMI patients. To the best of our knowledge, previous analyses have not elucidated the potential clinical value of SUA in this way [19].

Evidence from current epidemiological studies have shown that elevated SUA levels are an important risk factor for cardiovascular disease, with oxidative stress playing an important pathophysiological role. In addition, xanthine oxidoreductase inhibitor, which reduces levels of SUA, exerts protective effects in the context of oxidative stress (e.g., ischemia-reperfusion injury and cardiovascular disease) [20, 21, 22]. UA can be detected before other cardiac markers, such as cardiac troponins. Thus, SUA is suitable to be an early marker of myocardial ischemia, making it an effective method for predicting the combination of myocardial infarction and troponins.

Previous studies have examined the prognostic features of suitable biomarkers for atherosclerotic cardiovascular disease [23, 24, 25]. Although SUA appears to assist in the clinical evaluation of patients, the level of impact of SUA can have in medical treatment or in improving prognosis remains unclear [26]. According to the current meta–analysis, mortality and MACE were elevated in the high SUA group during the in-hospital period than that observed in the low SUA group. Regardless of the low heterogeneity found, the MACE and mortality of high SUA patients with acute STEMI were significantly different. The data indicated that the number of acute STEMI patients suffering from MACE in the high SUA group during the in-hospital period was approximately 2 times larger than individuals with low SUA. In addition, the mortality rate of patients with high SUA during hospitalization was approximately 2.7 times larger in high SUA, when compared to low SUA individuals. Moreover, the incidences of one-year mortality presented a statistically significant difference between high and low SUA patients, with high SUA patients being approximately 2.36 times more likely to die within one year than low SUA patients. It was also found that an increase in SUA level was associated to an increase in risk of coronary ischemia. However, there is not enough evidence to suggest myocyte necrosis. Therefore, the current results suggest that a high level of SUA will lead to an increase in MACE, in-hospital mortality, and one-year mortality in acute STEMI patients.

There are two caveats with the current study which should be considered carefully. Firstly, due to the lack of professional RCTs focusing on this research, we only extracted data from observational studies, which can certainly lead to a risk of related bias. Secondly, all 12 articles involved in this meta–analysis came from different study groups within different countries. Thus the diagnostic criteria for SUA cutoff may also have differed.

5. Conclusions

Acute STEMI patients suffering from high SUA exhibit higher incidences of in-hospital MACE and in-hospital mortality. Further, the mortality rate was also significantly higher in this group within one year. While SUA might facilitate the advancement of atherosclerosis, it might also serve as a new prognostic marker for short- and long-term follow-up in patients with acute STEMI [21]. Additionally, this measure may become pivotal in clinical prognosis, possibly improving the accuracy of current risk stratification methods. This may be able to assist in the development of more effective medical treatment, the reduction in health care cost, and an improvement in the quality of life of patients by reducing re-hospitalization and medical expenses. All analyses were based on previous published studies, thus no ethical approval and patient consent are required.