ArticleUrolithiasis2024
Association between the systemic inflammation response index and kidney stones in US adults: a cross-sectional study based on NHANES 2007-2018.
Article in Urolithiasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Association between accelerated biological aging and kidney stones and role of insulin resistance: a cross-sectional NHANES study.Translational andrology and urology · 2026Article
- ZJU index and the prevalence of kidney stones in US adults: evidence from NHANES 2007-2018.BMC urology · 2026Article
- Prospective Evaluation of Postoperative SIRS and Serum Inflammatory Indices in Percutaneous Nephrolithotomy Patients.Therapeutics and clinical risk management · 2026Article
- Association between rheumatoid arthritis and kidney stones: A cross-sectional study of NHANES 2007-2020.Arthritis research & therapy · 2025Article
- Oxidative stress, inflammation and kidney stones.Urolithiasis · 2025Article
- The Relationship Between Serum Inflammatory Markers and Chronic Obstructive Pulmonary Disease in Middle-Aged and Older Adults in the United States: A Cross-Sectional Study Based on NHANES 2013-2018.International journal of chronic obstructive pulmonary disease · 2025Article
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Abstract
This study examined the relationship between the systemic inflammation response index (SIRI) and kidney stone occurrence in adults in the United States. It also evaluated its potential as a predictor of kidney stones. A total of 24,833 adult participants were included in the study using cross-sectional data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) database. A history of kidney stones was ascertained through the administration of a questionnaire, and SIRI values (calculated based on neutrophil, monocyte, and lymphocyte counts) were determined for each participant. Logistic regression models were employed to examine the relationship between SIRI and kidney stones while accounting for potential confounding variables such as gender, age, race, lifestyle, and history of chronic disease. Subgroup analyses were also conducted. A significant positive correlation was observed between SIRI and kidney stones. In the unadjusted model, elevated SIRI was significantly and positively associated with an increased risk of kidney stones (OR = 1.17). Analysis of SIRI quartiles demonstrated a gradual increase in the risk ratio of kidney stones with increasing SIRI levels, indicating a clear dose-response relationship. In particular, in the model adjusted for multiple confounding variables, the risk of developing kidney stones in the highest SIRI quartile was increased by 20% compared to the lowest SIRI quartile (OR = 1.20, P = 0.007). There is a significant positive correlation between SIRI and kidney stones. SIRI may predict kidney stone risk and highlight the systemic inflammatory state's substantial contribution to kidney stones' pathogenesis.
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