Evidence map›Paper›PMID 40458383›Full record

ArticleCureus2025

The Prevalence and Associated Risk Factors of Coronary Heart Disease in Patients With Gout: A Cross-Sectional Study.

Sohaib Asghar, Shoaib Asghar, Summayha Mahbub, Asad Riaz, Shahid Farooq, Imran Khan

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sohaib AsgharCardiology, Morriston Hospital, Swansea Bay University Health Board, Swansea, GBR.
Shoaib AsgharInternal Medicine, Sheikh Zayed Medical College/Hospital, Rahim Yar Khan, PAK.
Summayha MahbubHaematology, Singleton Hospital, Swansea Bay University Health Board, Swansea, GBR.
Asad RiazMedicine, East Kent Hospital University Foundation Trust, Ashford, GBR.
Shahid FarooqGastroenterology, Peterborough City Hospital North West Anglia NHS Trust, Peterborough, GBR.
Imran KhanInternal Medicine, Services Hospital Lahore, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Long-term gout patients have been linked to increased risk of coronary heart disease (CHD) and its associated comorbidities. Therefore, careful evaluations are necessary to examine the prevalence and the causes of CHD in gout patients. The aim of this research was to identify significant factors associated with CHD in patients with gout along with the prevalence rate. Materials and methods A cross-sectional study was performed on 270 gout patients who attended the specialist outpatient clinic and the medicine department of Sheikh Zayed Medical College & Hospital, Rahim Yar Khan, Pakistan. Data about predictor variables was collected through interviews and standard clinical procedures. Blood samples were taken to measure laboratory variables such as fasting blood sugar (FBS), serum creatinine, cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Initially, descriptive statistics along with the chi-square test of association was executed. Finally, logistic regression analysis was performed as a classification method to estimate the odds ratio and confidence interval. Results The findings showed that 108 (40%, n=270) of gout patients experienced CHD with the highest prevalence rate (52; 48%, n1=108) of myocardial infarction (MI). Among all (n=270) patients, 150 (56%) were suffering from gout for more than 10 years, and 161 (60%) were diagnosed with hypertension. Considering p-value<0.05 as significant for the chi-square test, hypertension (p-value=0.001), type 2 diabetes mellitus (T2DM) (p-value=0.004), family history of CHD (p-value=0.001), serum creatinine (p-value=0.02), cholesterol (p-value=0.04), subcutaneous tophi (p-value=0.02), intraosseous tophi (p-value=0.04), and intermittent allopurinol intake (p-value=0.04) were found to be associated with CHD in patients with gout. The logistic regression analysis showed that hypertension (OR=2.70, CI: 1.60-4.58), T2DM (OR=2.08, CI: 1.26-3.42), creatinine (OR=1.77, CI: 1.07-2.93), cholesterol (OR=1.67, CI: 1.02-2.73), HDL-C (OR=0.59, CI: 0.36-0.96), subcutaneous tophi (OR=1.86, CI: 1.09-3.16), intraosseous tophi (OR=2.22, CI: 1.29-3.81), and intermittent allopurinol consumption (OR=1.92, CI: 1.01-3.66) were associated with CHD in patients with gout. Conclusions The study estimated that 40% of patients with chronic gout developed different types of CHD with the highest prevalence of MI, regardless of the duration of gout or treatment of acute attacks. Hypertension, T2DM, obesity, high creatinine, high cholesterol, low HDL-C and presence of intraosseous tophi are found to be significant factors of CHD in gout patients. These findings significantly contributed to medical research to address the risk of CHD among Pakistani patients with gout by controlling these significant associated factors. Gout patients with a positive family history of CHD should also take precautionary measures to avoid heart complications. Nation-wide large-scale analyses considering rural/urban disparities are recommended for more in-depth investigations of influencing factors to prevent cardiovascular complications among patients with gout since diversity in demographic, lifestyle and environmental factors may influence the overall impact. Future analysis with lipids as a continuous variable is also suggested for more accurate estimates.

Indexed as

allopurinolcoronary heart disease (chd)goutgouty tophihypercholesterolemiahypertensionnonsteroidal anti-inflammatory drugs (nsaids)obesityrisk factors for cardiovascular diseasestype 2 diabetes mellitus(t2dm)

Identifiers

PMID40458383
PMCPMC12127019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.