Ling Tong1
Xin-Jiang Dong- 1Department of Cardiology, Shanxi Provincial People’s Hospital, Taiyuan, China
- 2Department of Cardiology, The First People’s Hospital of Jinzhong, Jinzhong, China
- 3Department of Cardiology, Yantai Yeda Hospital, Yantai, China
- 4Department of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
- 5Department of Cardiology, The First Hospital of Shanxi Medical University, Taiyuan, China
- 6Department of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, China
Background: Coronary heart disease (CHD) is one of the leading causes of mortality in the world. Although the traditional risk factors for CHD have been identified, it seems that there are still many CHD cases without these factors. Previous studies have hypothesized that Helicobacter pylori (H. pylori) infection was associated with the risk of CHD.
Objective: The association between H. pylori infection and the risk of CHD was studied using a systematic evaluation and meta-analysis method.
Methods: In order to find relevant studies, four electronic databases were systematically searched until August 2021. According to the inclusion and exclusion criteria, studies were screened and data were extracted. Under the random-effects or the fixed-effects model, the odds ratio (OR) and 95% confidence interval (95% CI) were combined. All analyses were conducted using Review Manager software (RevMan 5.4).
Results: Among the included studies, 2 studies were analyzed for H. pylori stool antigen test, 2 studies were analyzed for H. pylori histological staining test, 13 studies were analyzed for the anti-CagA test, and 38 studies were analyzed for the anti-H. pylori IgG test. The pooled results revealed that positive anti-H. pylori IgG was significantly associated with an increased risk of CHD (OR, 1.58; 95% CI: 1.34–1.87). Similarly, positive anti-CagA, positive H. pylori stool antigen, and positive H. pylori histological staining were significantly associated with the development of CHD with (OR: 1.33, 95% CI: 1.16–1.53), (OR: 3.50, 95% CI: 1.60–7.66), and (OR: 1.78, 95% CI: 1.12–2.83), respectively.
Conclusion: This meta-analysis showed that H. pylori infection increased the risk of CHD. However, more studies are needed to further investigate whether early eradication of H. pylori may reduce the morbidity of CHD.
Introduction
Helicobacter pylori (H. pylori), a gram-negative bacterium, is one of the common infections in human. More than the half of population in the world suffers from the infection (1). H. pylori infection causes a wide range of gastrointestinal diseases including chronic gastritis, gastric cancer, and duodenal ulcer (2, 3). Moreover, researchers have also recently found that H. pylori infection was closely related to atherosclerotic cardiovascular diseases, including coronary heart disease (CHD), peripheral arterial disease, and stroke (4–7).
CHD is the most common type of organ disease caused by atherosclerosis, the leading cause of mortality in many countries (8). The etiology and pathogenesis of CHD have not been fully understood until now. The classical risk factors, including diabetes, hypertension, obesity, smoking, dyslipidemia, socioeconomic status, and family history, cannot fully explain all causes (9). Chronic inflammation caused by chronic infection, such as H. pylori infection, plays an important role in the pathogenesis of CHD. Some studies have shown that H. pylori infection increased the risk of CHD (10, 11). At the same time, other studies have shown that H. pylori infection was not closely related to CHD (12, 13). Previous meta-analyses have also provided evidence for or against the relationship between H. pylori infection and the risk of CHD (14, 15).
Previous studies have been controversial, even from earlier published meta-analyses with no clear final conclusions. Therefore, we conducted a large-scale systematic review and meta-analysis to establish specific evidence about the relationship between H. pylori infection and the risk of CHD.
Materials and Methods
This meta-analysis strictly followed the recommendations of the systematic review and meta-analysis (PRISMA) list (16) of the preferred reporting items.
Literature Search
We searched four electronic databases including Web of Science, Embase, PubMed, and Cochrane Library until August 2021. We used the following search string: “ischemic heart disease (IHD)” OR “coronary heart disease (CHD)” OR “coronary artery disease (CAD)” OR “coronary atherosclerosis” OR “angina” OR “unstable angina (UA)” OR “acute myocardial infarction (AMI)” OR “Acute coronary syndrome (ACS)” OR “myocardial infarction (MI)” OR “atheroma” AND “Helicobacter” OR “Helicobacter pylori” OR “Campylobacter pylori” OR “H. pylori.” The references in the included studies were checked, and suitable studies were identified.
Literature Selection and Data Extraction
Eligible studies that reported the relationship between H. pylori infection and the risk of CHD were included in this meta-analysis. In addition to studies with unreliable data, we excluded abstract-only articles, book chapters, conference papers, theses, reviews, letters, editorials, and posters. There were no restrictions for included studies on publication year, language, place, or demographics of patients. Any discrepancy in the screening step was agreed by two reviewers. If necessary, a third reviewer was consulted. Then, the full-text screening was carried out to identify the related studies for data extraction. The extracted data included the following: the first author, publication year, category of CHD, country, settings, study design, sample size, agent, and adjustment status.
Quality and Assessment
All studies were evaluated using the modified Newcastle-Ottawa Scale (NOS). This scoring system assessed studies according to the comparability of groups, patient selection, and assessment outcomes. When an article scored >7 points in this scoring system, it was considered a high-quality article.
Statistical Analysis
The most adjusted hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) was extracted and combined into an equivalent measure which is expressed in the form of combined OR. The original data was extracted and used to calculate the original OR when a study did not contain the most adjusted HR or OR with 95% CI. Heterogeneity among studies was assessed by using the I-statistic (I2) test (17). When there was substantial heterogeneity (I2 > 50%), the random-effects model was used. Otherwise, the fixed-effects model was selected (18). In order to test the robustness of the results, the sensitivity analysis was evaluated by excluding one study at a time (19). In addition, several subgroup meta-analyses were performed based on study design, setting, adjustment status, quality assessment score, category of CHD, and country. All analyses were conducted using Review Manager (RevMan 5.4), and a p-value of less than 0.05 was regarded as statistically significant.
Results
Search Results
Using predefined keywords, 3,245 studies were identified from four electronic databases. After excluding duplicate studies, 1,234 studies were included and screened, of which 643 were deleted by title and abstract. We screened the remaining 591 studies and excluded 551 studies according to the exclusion criteria. In addition, the manual search yielded 4 other studies. We then extracted useful data from 44 qualified studies (20–63) (Figure 1).
Figure 1. Selection process for studies included in the meta-analysis.
Characteristics of the Included Studies
Among the included studies, 13 studies were prospective studies with a total sample size of 16,236 participants. Thirty-one studies were cross-sectional studies with 14,689 participants. Included studies were published between 1995 and 2017. The number of included studies per type of CHD were as follows: 19 studies on CHD, 12 studies on AMI, 10 studies on MI, 2 studies on IHD, and 1 study on ACS. Ten studies were conducted in the United Kingdom, 5 in Iran, 4 in the United States, 4 in Italy, 4 in Japan, 3 in India, 3 in Turkey, 2 in China, 2 in South Korea, 1 in New Zealand, 1 in the Netherlands, 1 in Sweden, 1 in Germany, 1 in Greece, 1 in Pakistan, and 1 in Croatia. We found 27 studies that were conducted in hospital-based settings and 17 studies conducted in a community-based setting. H. pylori detection method included anti-H. pylori IgG, anti-CagA, H. pylori stool antigen, and H. pylori histological staining. According to the adjustment status, there were 17 adjusted studies and 27 unadjusted studies. Moreover, the included studies were divided into 21 studies with ≥7 points and 23 studies with <7 points according to the quality score (Table 1).
Table 1. Description of included studies.
Main Results
We revealed the relationship between the risk of CHD and H. pylori infection by using different H. pylori detection methods.
Anti-Helicobacter pylori IgG Test and Coronary Heart Disease
A meat-analysis of 38 studies, of which 2 studies used HR and 36 studies used OR, indicated a statistically significant relationship between the risk of CHD and positive anti-H. pylori IgG (OR, 1.58; 95% CI: 1.34–1.87; Figure 2). In addition, the meta-analysis of studies reporting OR also showed a statistically significant relationship (OR, 1.65; 95% CI: 1.39–1.95; Figure 3). However, the meta-analysis of studies reporting HR showed a statistically non-significant relationship (HR 0.74; 95% CI: 0.52–1.06; Figure 4). Subgroup analyses based on study design, setting, adjustment, quality assessment score, the category of CHD, and country are presented in Table 2. A leave-one-out sensitivity analysis showed robust results, and none of the studies had a significant impact on the pooled results.
Figure 2. Relationship anti-H. pylori IgG test and coronary heart disease [CHD; studies reporting OR + studies reporting hazard ratio (HR)].
Figure 3. Relationship anti-H. pylori IgG test and CHD in studies reporting odds ratio (OR).
Figure 4. Relationship anti-H. pylori IgG test and CHD in studies reporting HR.
Table 2. Subgroup analyses about between anti-H. pylori IgG and CHD.
Anti-CagA Test and Coronary Heart Disease
Our analysis of 13 studies showed a significant correlation between the risk of CHD and positive anti-CagA (OR, 1.33; 95% CI: 1.16–1.53; Figure 5). One study was reported using an adjusted result. Subgroup analyses based on study design, setting, adjustment, quality assessment score, the category of CHD, and country are presented in Table 3. A leave-one-out sensitivity analysis also indicated that the results are robust, and none of the studies had a significant influence on the overall results.
Figure 5. Relationship anti-CagA test and CHD.
Table 3. Subgroup analyses about between anti-CagA test and CHD.
Helicobacter pylori Stool Antigen Test and Coronary Heart Disease
We observed a statistically significant association between positive H. pylori stool antigen and the development of CHD (OR, 3.50; 95% CI: 1.60–7.66; Figure 6). Because of the lack of data, subgroup meta-analyses and sensitivity analysis could not be conducted for H. pylori stool antigen.
Figure 6. Relationship H. pylori stool antigen test and CHD.
Helicobacter pylori Histological Staining Test and Coronary Heart Disease
We also observed that positive H. pylori histological staining was significantly associated with the risk of CHD (OR, 1.78; 95% CI: 1.12–2.83; Figure 7). Due to limited data, subgroup meta-analyses and sensitivity analysis of H. pylori histological staining also could not be performed.
Figure 7. Relationship H. pylori histological staining test and CHD.
Discussion
Over the past 30 years, there has been controversy in the literature about the impact of H. pylori infection on the risk of CHD. Therefore, we conducted this updated meta-analysis based on all available studies in order to establish a more comprehensive and stronger analysis. The final results of our meta-analysis showed that the positive anti-H. pylori IgG was closely related to the risk of CHD. In addition, this relation was also significant in analysis of positive anti-CagA, positive H. pylori stool antigen, and positive H. pylori histological staining.
Earlier studies showed that there may be a weak association between H. pylori infection and the risk of CHD (64, 65). Currently, our results are similar to those of recent meta-analyses (4, 15, 66–68) in which positive anti-H. pylori IgG was positively related to the risk of CHD. However, our study avoided the main limitations of these meta-analyses. For example, the meta-analyses performed by Wang et al. (4), Liu et al. (66), and Rahmani et al. (67) only involved myocardial infarction and did not mention other types of CHD. A meta-analysis (67) conducted in 2017 showed that H. pylori infection was associated with an increased risk of CHD, but the meta-analysis was based on Iranians and the number of studies was limited. In addition, a meta-analysis by Sun et al. (15), published in 2016, was based only on prospective studies, excluding cross-sectional studies with stronger evidence. Therefore, the sample size of the included studies was small, which makes the results more prone to confounding factors and selection bias. Similarly, our results are consistent with a previous meta-analysis that indicated a significant association between positive anti-CagA and the risk of CHD. However, our meta-analysis avoided many defects of previous studies (68, 69). For instance, a meta-analysis conducted by Zhang et al. (68) was based only on cross-sectional studies, excluding more meaningful prospective studies. A meta-analysis (69), published in 2006, had a limited number of studies included and had no subgroup analysis for finding the source of heterogeneity. In addition, we also found that positive H. pylori stool antigen and positive H. pylori histological staining were significantly associated with the risk of CHD. Subgroup analysis and sensitivity analysis were not performed due to the small number of studies.
The mechanism of H. pylori infection causing CHD mainly consists of the following aspects. H. pylori in atherosclerotic plaque can stimulate inflammatory cells and cause excessive production of cytokines, which leads to local endothelial and vascular dysfunction (30). H. pylori infection leads to non-specific stimulation of inflammatory mediators in vivo, such as interleukin-1 (IL-1), interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor alpha (TNF-α), which promote plaque instability (70). Lastly, it can not only enter endothelial cells through CagA containing exosomes, resulting in endothelial damage (71) but also secrete another virulence factor, vacuolating cytotoxin A (VacA), which can reduce nitric oxide (NO), resulting in endothelial function damage (72).
The expression of P-selectin increases after H. pylori infection, and the adhesion between von Willebrand factor (vWF) released by platelets and P-selectin eventually leads to platelet aggregation (73). In addition to this, H. pylori infection can affect the risk factors for CHD, such as hypertension, dyslipidemia, hyperhomocysteinemia, diabetes, and impaired glucose tolerance. A recent meta-analysis (74) showed that H. pylori infection was significantly associated with arterial hypertension. Aslan et al. (75) found that the levels of total cholesterol, triglyceride, and low-density lipoprotein cholesterol in patients infected with H. pylori increased significantly, while high-density lipoprotein cholesterol decreased significantly. The interaction between H. pylori infection and diabetes leads to the occurrence of CHD (76). After persistent infection with H. pylori, low levels of serum vitamin B12 and folic acid will lead to hyperhomocysteinemia (77).
From our perspective, our meta-analysis is by far the most comprehensive and largest study supported by its statistical ability, leading to a more reliable overall evaluation. Our meta-analysis proved the positive relationship between positive anti-H. pylori IgG and development of CHD by subgroup analyses based on setting, category of CHD, adjustment status, and quality assessment score, but this relationship did not appear in prospective studies and some countries. Similarly, we also observed a positive association between the positive anti-CagA and the risk of CHD based on subgroup analyses of adjustment status and quality assessment score, but this association did not exist in prospective studies, community, MI, and Germany. Our results are similar to a previous meta-analysis (15) based on prospective studies, which indicated that H. pylori infection increased CHD risk, but this relationship weakens over time. The development of CHD is a multi-effect, long-term process. Over time, other CHD risk factors may attenuate the risk of CHD from the infection. Reasons for other subgroups without H. pylori infection increasing the risk of CHD might be associated with fewer studies. In addition, except for the fixed model for studies on anti-H. pylori IgG studies reporting HR, H. pylori stool antigen, and H. pylori histological staining, there is substantial heterogeneity among other studies, which may be attributed to the different participants and different study designs. Hence, the random model is adopted.
Strengths and Limitations
This is the first attempt to use a meta-analysis to evaluate the relationship between the risk of CHD and H. pylori infection through different H. pylori detection methods. Most previous meta-analyses used the anti-H. pylori IgG test to detect bacterial infection. In fact, this approach fails to detect current infections and may overestimate the association between bacteria and the risk of CHD. However, H. pylori stool antigen and H. pylori histological staining tests can detect current infection, which accurately assess the relationship between bacteria and the risk of CHD. Since positive anti-CagA has a strong inflammatory response, we also analyzed its association with the risk of CHD. More importantly, the included studies did not adequately consider traditional risk factors for CHD and other microbial infections. In the future, we strongly recommend conducting more well-designed intervention trials and investigating the relationship between other sources of infection and the risk of CHD.
Conclusion
This meta-analysis revealed an evidence-based relationship between H. pylori infection and the risk of CHD, which may contribute to the arguments established in the literature to provide strong evidence. Therefore, we suggest that H. pylori infection should be regarded as a new risk factor for CHD in future guidelines related to CHD. Future clinical application needs to be further studied to determine whether early eradication of H. pylori can reduce the incidence of CHD.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Author Contributions
X-JD and LT designed and analyzed the meta-analysis, and contributed to the revision of the manuscript. X-JD, LT, B-BW, F-HL, S-PL, and F-FP collected the data. All authors have read and approved the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Keywords: coronary heart disease, Helicobacter pylori, anti-H. pylori IgG test, anti-CagA test, H. pylori stool antigen test, H. pylori histological staining test, systematic review, meta-analysis
Citation: Tong L, Wang B-B, Li F-H, Lv S-P, Pan F-F and Dong X-J (2022) An Updated Meta-Analysis of the Relationship Between Helicobacter pylori Infection and the Risk of Coronary Heart Disease. Front. Cardiovasc. Med. 9:794445. doi: 10.3389/fcvm.2022.794445
Received: 13 October 2021; Accepted: 14 February 2022;
Published: 29 April 2022.
Edited by:
Yuefei Jin, Zhengzhou University, ChinaReviewed by:
Rongguang Zhang, Hainan Medical University, ChinaZeng-hong Wu, Huazhong University of Science and Technology, China
Copyright © 2022 Tong, Wang, Li, Lv, Pan and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xin-Jiang Dong, 1522182466@qq.com