Abstract
The aim of this study was to compare long-term outcomes in patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) and patients with myocardial infarction with obstructive coronary arteries (MIOCA). This meta-analysis was conducted according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was conducted in online databases including PubMed and Web of Science from 2010 onwards. Primary outcomes assessed in this meta-analysis included major adverse cardiovascular events (MACE) and all-cause mortality. Secondary outcomes included cardiovascular mortality and myocardial infarction. A total of 16 studies were included in the meta-analysis. Pooled analysis showed that the risk of MACE was higher in MIOCA patients (risk ratio (RR): 1.47, 95%CI: 1.43-1.52, p-value: 0.001) compared to MINOCA patients. Additionally, the risk of all-cause mortality was also significantly higher in MIOCA patients compared to MINOCA (RR: 1.33, 95%CI: 1.14-1.56, p-value: 0.001). Our findings also indicate that patients with MIOCA are at a significantly higher risk of recurrent myocardial infarction and cardiovascular-related mortality compared to patients with MINOCA. Overall, the insights gained from this meta-analysis have significant clinical implications, guiding decision-making in the management of patients with MINOCA.
Keywords: mioca, minoca, systematic review and meta-analysis, all-cause mortality, cardiovascular outcomes, myocardial infarction with obstructive coronary arteries, myocardial infarction with non-obstructive coronary arteries (minoca)
Introduction and background
Around 5-10% of individuals diagnosed with myocardial infarction (MI) have no significant blockages in their coronary arteries [1-2]. In these cases, the condition is referred to as MI with non-obstructive coronary arteries (MINOCA). MINOCA can occur due to various causes such as the disruption of coronary plaques, spasms, blood clots, artery tearing, impaired microcirculation, or myocardial injury caused by an imbalance between oxygen supply and demand [3-4]. MINOCA represents a diverse and varied disease state. The significance of MINOCA has been recently highlighted in the European guidelines for managing ST-segment elevation MI [5]. Evaluating the risk in patients with MINOCA poses difficulties due to the varied causes underlying the condition, which differ from those observed in patients with MI with obstructive coronary artery disease (MIOCA). Limited and conflicting data exist regarding the factors that predict MINOCA and its long-term outcomes [6-7]. However, it is becoming more evident that MINOCA is not uncommon, especially among individuals who experience an early-onset MI.
Evidence from observational studies and systematic reviews suggests that MINOCA patients have a higher likelihood of experiencing negative outcomes [8-9]. However, there is a scarcity of data specifically examining cardiovascular morbidity in MINOCA [10], and to the best of our knowledge, cause-specific mortality has not been studied. Obtaining such information is crucial for gaining a deeper understanding of the potential disease mechanisms that differentiate MINOCA from MIOCA. It can also help in tailoring patient management strategies based on these distinctions [11].
In terms of prognosis, a systematic review identified a small number of studies revealing a 12-month all-cause death rate of 6.7% in MIOCA patients compared with 3.5% in MINOCA patients [12]. However, recent data on outcomes in MINOCA patients have been limited mainly to mortality. There is a scarcity of data related to the clinical profile and health status of these patients. The recognition of MINOCA as a separate and distinct condition highlights the importance of gaining a thorough understanding of its prognosis, including the risk of cardiovascular events and so on. It is crucial to acquire comprehensive knowledge about the likely outcomes and long-term outlook for MINOCA patients. Therefore, there is a need for an updated meta-analysis to understand the long-term outcomes in patients with MINOCA and MIOCA. Therefore, this meta-analysis has been conducted to compare long-term outcomes in both sets of patients.
Review
Materials and methods
This meta-analysis was conducted according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was conducted through the PubMed and Web of Science databases from 2010 onwards. Additionally, we also searched Google Scholar to find any additional article relevant to study objective. The following key search terms were included in different combinations: "ST-elevation myocardial infarction" OR "non-ST segment elevation myocardial infarction" AND "obstructive coronary atherosclerosis" AND "non-obstructive coronary atherosclerosis" OR "mild coronary artery disease," "insignificant coronary artery disease" OR "significant coronary artery disease" AND "death" OR "all-cause death" OR "all-cause mortality" OR "mortality" OR "cardiac death" OR "death from cardiovascular disease" OR "myocardial infarction" OR "reinfarction" OR "MACE" OR "major adverse cardiovascular events" OR "stroke." We also used Medical Subject Headings (MeSH) terms to further sensitize the search. In addition, bibliographic data of included studies were also manually searched to identify undiscovered studies during the initial phase of searching. We restricted our search to only those studies that were published in the English language.
Study Selection and Quality Assessment
All records were initially screened by two authors independently using their titles and abstracts, followed by a detailed assessment of the full text based on pre-defined inclusion and exclusion criteria. We included articles that enrolled patients with MINOCA or MIOCA at baseline. MINOCA was characterized as the absence of any epicardial vessel with stenosis equal to or greater than 50%, as determined by quantitative coronary angiography. Non-obstructive lesions were further categorized into two groups: mild coronary stenosis (with 1-49% lumen stenosis in at least one vessel) and normal coronary vessels (with 0% lumen stenosis in all vessels). Studies that reported one of the required outcomes were included in the meta-analysis. We excluded studies that included patients with types of acute coronary syndrome (ACS) other than MI. Lastly, we excluded studies with a follow-up of fewer than 12 months.
Quality assessment of included studies was done by two authors using the Newcastle-Ottawa Scale (NOS) comparative research quality assessment system. Studies were deemed to be of high quality if they achieved a score of six stars or more out of a total of nine stars on the NOS scale. Any disagreements between the two authors in the process of study selection and quality assessment were resolved via discussion or involvement of a third author if required.
Data Extraction and Outcome Measures
Data were extracted from included studies using a standardized data extraction form. The data extracted from included studies included author names, year of publication, study design, sample size, follow-up duration, and patients' characteristics. If outcomes were reported at multiple time points, the last available outcomes were extracted. Primary outcomes assessed in this meta-analysis included major adverse cardiovascular events (MACE) and all-cause mortality. Secondary outcomes included cardiovascular mortality and MI.
Data Analysis
To compare the outcomes between study groups, risk ratio (RR) was computed with a 95% confidence interval (CI) using a fixed or random effect model based on the value of I-square. The cut-off for p-value was kept at 0.05. Heterogeneity was computed using I-square and Cochran-Q tests. A p-value < 0.1 was considered significant for heterogeneity. Publication bias was assessed using Egger's test. We performed meta-regression to understand the causes of heterogeneity among the study outcomes. Data analysis was performed using ReviewManager (RevMan) version 5.4.1 (The Cochrane Collaboration, London, United Kingdom) and Stata version 16.0 (2019; StataCorp LLC, College Station, Texas, United States).
Results
Figure 1 shows the process of study selection. Online database searching yielded 944 studies. After removing duplicates, 902 records were initially screened using their titles and abstracts. Full texts of 32 articles were obtained, and a detailed evaluation was done based on pre-defined inclusion and exclusion criteria. Finally, 16 studies were included in the present meta-analysis. Table 1 shows the characteristics of the included studies. The follow-up of included studies ranged from 12 to 74 months. Table 2 presents the quality assessment of included studies.
Table 1. Characteristics of included studies.
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
| Author and Reference | Year | Region | Study Design | Study Group | Sample Size | Follow-up |
| Abdu et al. [13] | 2019 | China | Prospective cohort | MIOCA | 1730 | 12 Months |
| MINOCA | 109 | |||||
| Bainey et al. [14] | 2018 | Canada | Retrospective cohort | MIOCA | 33836 | 12 Months |
| MINOCA | 2092 | |||||
| Barr et al. [15] | 2017 | New Zealand | Retrospective cohort | MIOCA | 1768 | 28.8 Months |
| MINOCA | 302 | |||||
| Choo et al. [16] | 2019 | Korea | Prospective cohort | MIOCA | 10871 | 24 Months |
| MINOCA | 396 | |||||
| Dreyer et al. [17] | 2020 | United States | Retrospective cohort | MIOCA | 269931 | 12 Months |
| MINOCA | 16849 | |||||
| Eggers et al. [18] | 2018 | Sweden | Retrospective cohort | MIOCA | 69267 | 45.6 Months |
| MINOCA | 7266 | |||||
| Gasior et al. [19] | 2020 | Poland | Retrospective cohort | MIOCA | 160866 | 36 Months |
| MINOCA | 6063 | |||||
| Juan-Salvadores et al. [20] | 2022 | Spain | Retrospective cohort | MIOCA | 243 | 74 Months |
| MINOCA | 32 | |||||
| Kang et al. [21] | 2011 | Korea | Retrospective cohort | MIOCA | 2930 | 12 Months |
| MINOCA | 126 | |||||
| Lopez-Pais et al. [22] | 2020 | Spain | Prospective cohort | MIOCA | 412 | 17.3 Months |
| MINOCA | 109 | |||||
| Magnani et al. [23] | 2021 | Italy | Prospective cohort | MIOCA | 1671 | 19.9 Months |
| MINOCA | 313 | |||||
| Monteiro et al. [24] | 2022 | Portugal | Retrospective cohort | MIOCA | 2015 | 60 Months |
| MINOCA | 428 | |||||
| Planer et al. [25] | 2014 | United States | Retrospective cohort | MIOCA | 2245 | 12 Months |
| MINOCA | 197 | |||||
| Rhew et al. [26] | 2012 | Korea | Retrospective cohort | MIOCA | 1120 | 13 Months |
| MINOCA | 100 | |||||
| Safdar et al. [27] | 2018 | United States | Prospective cohort | MIOCA | 2374 | 12 Months |
| MINOCA | 299 | |||||
| Williams et al. [28] | 2019 | New Zealand | Retrospective cohort | MIOCA | 7408 | 24 Months |
| MINOCA | 897 |
Table 2. Quality assessment of included studies.
| Author and Reference | Selection | Exposure | Outcome | Total |
| Abdu et al. [13] | 3 | 2 | 3 | Good |
| Bainey et al. [14] | 3 | 2 | 4 | Good |
| Barr et al. [15] | 3 | 2 | 3 | Good |
| Choo et al. [16] | 2 | 2 | 3 | Good |
| Dreyer et al. [17] | 3 | 2 | 3 | Good |
| Eggers et al. [18] | 3 | 1 | 3 | Good |
| Gasior et al. [19] | 2 | 2 | 3 | Good |
| Juan-Salvadores et al. [20] | 2 | 1 | 3 | Fair |
| Kang et al. [21] | 3 | 2 | 4 | Good |
| Lopez-Pais et al. [22] | 3 | 2 | 3 | Good |
| Magnani et al. [23] | 3 | 2 | 3 | Good |
| Monteiro et al. [24] | 2 | 2 | 3 | Good |
| Planer et al. [25] | 3 | 2 | 2 | Good |
| Rhew et al. [26] | 3 | 1 | 3 | Good |
| Safdar et al. [27] | 3 | 2 | 4 | Good |
| Williams et al. [28] | 2 | 1 | 3 | Fair |
Figure 1. PRISMA flowchart of study selection.
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Comparison of Baseline Characteristics of Patients in MINOCA and MIOCA Groups
As shown in Table 3, the number of males in the MIOCA group is lower compared to the MINOCA group. Patients with MINOCA are less likely to be diabetic, hypertensive, and have dyslipidemia. Additionally, the likelihood of being diagnosed with ST elevation MI was also lower among MINOCA patients compared to their counterparts.
Table 3. Baseline characteristics of MIOCA and MINOCA patients.
RR: risk ratio; STEMI: ST-elevation myocardial infarction
^ represented as mean difference (95% CI)
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
| Variable | Number of Studies | RR (95% CI) | I-square |
| Male | 16 | 0.54 (0.49-0.59) | 98% |
| Hypertension | 14 | 1.08 (1.02-1.14) | 80% |
| Diabetes | 14 | 1.38 (1.23-1.54) | 92% |
| STEMI | 12 | 2.12 (1.52-2.96) | 99% |
| Dyslipidemia | 9 | 1.21 (1.05-1.38) | 93% |
| Age | 13 | 7.25 (8.10, 6.40)^ | 85% |
Comparison of Cardiovascular Outcomes
MACE: Seven studies were included in the pooled analysis of MACE. As shown in Figure 2, the risk of MACE was significantly higher in patients with MIOCA compared to patients with MINOCA (RR: 1.47, 95%CI: 1.43-1.52, p-value: 0.001). No significant heterogeneity was reported among the study results (I-square: 0%). Most of the weight is carried by the study conducted by Dreyer et al., potentially due to a large sample size. Therefore, we performed a sensitivity analysis by removing this study, and the effect estimate was similar to the overall analysis (RR: 1.30, 95%CI: 1.19-1.61, p-value: 0.001).
Figure 2. Major adverse cardiovascular events.
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
Recurrent MI and cardiovascular-related mortality: The pooled analysis of 14 studies comparing the risk of MI between patients with MIOCA and MINOCA showed that the risk of myocardial infarction was significantly higher in patients with MIOCA compared to MINOCA (RR: 1.78, 95% CI: 1.27 to 2.49, p-value: 0.001), as shown in Figure 3. Significant heterogeneity was reported among the study results (I-square: 95%). Regarding cardiovascular-related mortality, the pooled analysis of 10 studies showed that the risk of cardiovascular events was significantly higher in patients with MIOCA compared to patients with MINOCA (RR: 1.90, 95%CI: 1.44 to 2.50, p-value: 0.001), as shown in Figure 4. Significant heterogeneity was reported among the study results (I-square: 58%).
Figure 3. Recurrent myocardial infarction.
Sources: References [13-23,25-26,28]
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
Figure 4. Cardiovascular-related mortality.
Sources: References [13-14,16,18,21-23,25-26,28]
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
All-cause Mortality
Pooled analysis of 14 studies comparing the risk of all-cause mortality between MIOCA and MINOCA patients reported that the risk of all-cause mortality was 1.33 times higher in MIOCA patients compared to patients with MINOCA (RR: 1.33, 95%CI: 1.14-1.56, p-value: 0.001) as shown in Figure 5. Significant heterogeneity was reported among the study result (I-square: 91%).
Figure 5. All-cause mortality.
MIOCA: myocardial infarction with obstructive coronary arteries; MINOCA: myocardial infarction with non-obstructive coronary arteries
Meta-Regression
To explore possible sources of heterogeneity in the pooled analysis of primary outcomes, which included MACE and all-cause mortality, we performed a meta-regression by assessing the impact of follow-up period, age, male gender, hypertension, STEMI, diabetes, aspirin, beta-blockers, statin, and renin-angiotensin (RAS) inhibitors. The results are shown in Table 4. Regarding MACE, meta-regression identified diabetes, female gender, and dyslipidemia as potential sources of heterogeneity. However, for all-cause mortality, meta-regression identified STEMI, diabetes, and female gender as potential sources of heterogeneity among the study results. No indication of publication bias was found, with Egger’s tests being statistically non-significant in all of the outcomes assessed in the present study (p-value>0.05).
Table 4. Meta-regression .
STEMI: ST-elevation myocardial infarction; MACE: major adverse cardiovascular events; RAS: renin-angiotensin
| Variable | MACE | All-cause death |
| Follow-up | 0.755 | 0.898 |
| Age | 0.451 | 0.399 |
| Female | 0.021 | 0.041 |
| Hypertension | 0.033 | 0.858 |
| Diabetes | 0.802 | 0.006 |
| STEMI | 0.747 | 0.028 |
| Dyslipidemia | 0.016 | 0.554 |
| RAS | 0.658 | 0.458 |
| Statins | 0.644 | 0.723 |
| Bblockers | 0.484 | 0.864 |
| Aspirin | 0.155 | 0.395 |
Discussion
The present meta-analysis reanalyzed all the data published related to the clinical outcomes of MIOCA and MINOCA patients, attempting to provide quantitative estimates of their long-term outcomes. The pooled analysis showed that the risk of MACE was higher in MI patients with coronary artery disease (CAD) compared to MI patients without CAD. In a separate analysis of the individual components of MACE, we found that the risk of all-cause mortality, cardiac mortality, and recurrent MI were higher in MIOCA subjects compared to the MINOCA patients.
In the majority of the included studies, MINOCA patients showed better long-term outcomes compared to MIOCA patients. Additionally, a lower rate of mortality was also reported in a recent systematic review that included patients with MINOCA [12]. The most plausible reasons for these observations are likely linked to the younger age and lower prevalence of diabetes mellitus among MINOCA individuals, both of which independently predict a lower risk of MACE. Furthermore, due to the significantly reduced occurrence of ST-segment elevation-ACS during baseline presentation in MINOCA patients, it is possible that their average extent of MI is smaller compared to MIOCA subjects [29]. The present meta-analysis has also confirmed these findings, as the number of individuals with diabetes is lower in MINOCA patients compared to MIOCA. Additionally, the number of STEMI patients was also significantly lower in MINOCA subjects compared to their counterparts.
The superior baseline coronary heart disease (CHD) risk profile of MINOCA compared to MIOCA individuals has been extensively studied and documented in numerous research works. These studies have proposed various potential explanations, focusing on factors related to the progression of atherosclerotic plaque and highlighting the possible stronger influence of non-classical risk factors (such as inflammation, insulin resistance, psychosocial factors, and physical inactivity) in the etiology of ACS for MINOCA subjects [30-31]. This meta-analysis now provides precise quantitative estimates with narrow confidence intervals on the prevalence of the most common CHD risk factors in both MIOCA and MINOCA groups. These findings have practical implications as they can be utilized in clinical practice or as support for developing prognostic multivariate models.
Considering that the underlying mechanisms that lead to the clinical presentation of MI in MIOCA patients are not completely understood and that the relevant therapeutic approach for these patients is also not known [32-33], it has been proposed that their unfavorable prognosis could be attributed, at least partially, to the reduced prescription rate of medications such as beta-blockers, angiotensin-converting enzyme inhibitors, statins, and antiplatelet drugs [33-34]. To confirm these findings, future studies need to be carried out to assess the impact of these drugs on the prognosis in patients with MINOCA.
Study Limitations
Several limitations should be considered in the interpretation of our data. First, the heterogeneity across studies was substantial in both the baseline characteristics and the length of follow-up. Secondly, most studies were retrospective in nature and retrospective studies might have limited external validity. The study populations, settings, and conditions under investigation may not fully represent the broader population or real-world scenarios. Therefore, more prospective studies need to be conducted to validate the findings. Furthermore, the planned meta-regression analyses conducted to examine variations between studies lacked the necessary strength to detect connections between variables, as they only relied on aggregated data from each study. We do not have individual-level data to understand the impact of different variables on prognosis. Therefore, future studies need to be conducted to assess the effect of different variables such as comorbidities, medications, and laboratory characteristics on prognosis.
Conclusions
This comprehensive meta-analysis provides valuable insights into the long-term outcomes of patients with MINOCA and MIOCA. Our findings indicate that patients with MIOCA are at a significantly higher risk of MACE, recurrent MI, cardiovascular-related mortality, and all-cause mortality compared to patients with MINOCA. Overall, the insights gained from this meta-analysis have significant clinical implications, guiding decision-making in the management of patients with MINOCA. It is our hope that this study will provide a foundation for future research aimed at improving the outcomes of these patients and tailoring their treatment strategies effectively.
Acknowledgments
MON, SKK, and SH contributed to the study conception and design; RRG and LRAP searched the databases and helped in the drafting of the article; SKK and MWK performed the data extraction; MDH carried out the quality assessment; LRAP and SH performed the data analysis; RRG, MDH, MWK, LRAP and SK wrote the manuscript and the revised and final editing done by MON and SKK. All authors approved the final version of the article and all authors agreed to be accountable for all aspects of the work.
The authors have declared that no competing interests exist.
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