Evidence mapPaperPMID 41280972Full record

ArticleCureus2025

Serum Heavy Metal Burden and Its Association With Angiographic Severity and Six-Month Outcomes in Coronary Artery Disease: A Prospective Observational Study From North India.

Ashish Jha, Bhuwan C Tiwari, Aditya C Upadhyay, Sudarshan K Vijay, Naveen Jamwal, Amresh Kumar Singh, Sandeepan Saha

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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. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ashish JhaCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Bhuwan C TiwariCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Aditya C UpadhyayCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Sudarshan K VijayCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Naveen JamwalCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Amresh Kumar SinghCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Sandeepan SahaCardiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeavy metal exposure is a silent yet significant cardiovascular risk factor, particularly in low- and middle-income countries with evolving environmental and dietary patterns. Metals like cadmium, arsenic, and mercury contribute to atherogenesis through oxidative stress, inflammation, and endothelial dysfunction. However, their association with coronary artery disease (CAD) severity and clinical outcomes remains underexplored in Indian populations. This study evaluated serum levels of six heavy metals and their relation to angiographic complexity and six-month cardiovascular outcomes.

methodsIn this single-center, prospective study, 497 patients undergoing coronary angiography for CAD were enrolled and stratified by the SYNTAX score: SYNTAX score <23 and SYNTAX score ≥23. Serum levels of arsenic, antimony, mercury, lead, nickel, and cadmium were quantified using inductively coupled plasma mass spectrometry (ICP-MS). SYNTAX score, clinical parameters, and six-month outcomes for major adverse cardiovascular events (MACE) were recorded.

resultsMean SYNTAX scores did not differ significantly across quartiles of any heavy metal (all p > 0.05). Adjusted analysis showed no association between metal levels and high SYNTAX score (adjusted OR = 1.07, 95% CI 0.89-1.30, for cadmium per SD increase). However, subgroup analysis revealed higher cadmium levels in patients with acute coronary syndrome (ACS) compared to stable CAD patients (median = 0.78 (IQR 0.65-0.94) µg/L vs. 0.62 (IQR 0.54-0.75) µg/L; p = 0.006), and elevated arsenic and mercury levels in hypertensive patients (mean difference = +1.21 µg/L (95% CI 0.58-1.84), p = 0.001; +0.34 µg/L (95% CI 0.15-0.53), p = 0.0013). At the six-month follow-up, MACE occurred in 6.6% of patients and were associated with a high SYNTAX score (OR = 4.4 (95% CI 1.7-11.5), p = 0.002), but not with any metal level (all p > 0.1).

conclusionSerum heavy metal levels were not associated with angiographic CAD severity. Nevertheless, higher cadmium levels in ACS patients and elevated arsenic/mercury levels in hypertensive patients suggest that metal exposure may influence disease phenotype rather than plaque burden. These exploratory findings warrant validation in larger longitudinal cohorts.

Indexed as

arseniccadmiumcardiovascular riskcoronary artery diseaseenvironmental toxinsheavy metalsmercury

Identifiers

PMID41280972
PMCPMC12638000

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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.