The relationship between HIV/AIDS and coronary heart disease: A bibliometric analysis

Abstract

Background: Acquired immunodeficiency syndrome is a malignant infectious disease caused by the human immunodeficiency virus (HIV). HIV gradually destroys the body's immune system and weakens the body's ability to resist diseases. People living with HIV may have a higher incidence of coronary heart disease than people without HIV.

Method: A literature retrieval from January 1, 1993 to October 1, 2023 based on the Web of Science Core Collection database. CiteSpace6.2.R4, VOSviewer v1.6.19, and Microsoft Excel 2019 were utilized for analyzing the following terms: countries, institutions, authors, journals, references, and keywords.

Results: There were 1144 articles. The highest number of articles is in the USA, followed by Italy. University of California System, Harvard University, and Johns Hopkins University were the top 3 most productive institutions with publications in this field of research. Journal of Infectious Diseases ranked first with the highest publications (532 records), followed by Immunology (362 records), and Cardiac Cardiovascular Systems (242 records). Keyword co-occurrence analysis showed antiretroviral therapy, myocardial infarction, and protease inhibitors, etc. Keyword cluster analysis obtained 13 categories, which were roughly divided into 3 themes: (1) cardiovascular disease that has occurred or may occur; (2) HIV acquisitions that have occurred; (3) risk factors for cardiovascular disease.

Conclusion: The article obtained the hotspots and trends and provided references for subsequent research. Based on the keyword citation burst detection analysis, we speculated that heart failure, risk, subclinical atherosclerosis, infection, and association were the research hotspots in recent years, which had a certain predictive effect on the future research direction.

Figure 1.

A searching flow diagram.

Figure 2.

The distribution trend chart from January 1, 1993, to October 1, 2023.

Figure 3.

Mapping of country cooperation networks.

Figure 4.

Author’s timezone map.

Figure 5.

Network map of reference co-citation.

Figure 6.

Keyword co-occurrence network mapping.

Figure 7.

Ridgeline Plot for keyword cluster analysis.

Figure 8.

Top 25 keywords with the strongest citation bursts (“Year” represents the time of the first appearance of the keyword, “Strength” represents the intensity of the emergence, “Begin” represents the start time of the emergence, “End” represents the End time of the emergence, and the length between “begin–end” is equal to the length of the red area in the figure) aids acquired immunodeficiency syndrome.