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Aims <p>To investigate systemic risk factors contributing to the formation of sialolithiasis.</p> Methods <p>A retrospective big-data cohort study was conducted using data from Clalit HMO in Israel. Sialolithiasis patients were identified based on ICD-10 codes and matched with controls. Univariate and multivariable logistic regression analyses were performed to assess the relationship between systemic conditions and sialolithiasis. P-value &lt; 0.05 was considered significant.</p> Results <p>5100 sialolithiasis cases were collected. The statistical analysis revealed that hypertension (OR = 1.14, 1.08–1.24, <i>p</i> &lt; 0.001), dyslipidemia (OR = 1.33, 1.27–1.41, <i>p</i> &lt; 0.001), nephrolithiasis (OR = 1.55, 1.42–1.63, <i>p</i> &lt; 0.001) and cholelithiasis (OR = 1.22, 1.16–1.27, <i>p</i> &lt; 0.001) were significantly correlated with sialolithiasis.</p> Conclusions <p>Systemic diseases, particularly dyslipidemia, play a role in the development of sialolithiasis. Further research is needed to explore the underlying mechanisms linking these conditions and to develop targeted strategies for the prevention of sialolithiasis.</p> Clinical relevance <p>This study highlights the potential interplay between systemic conditions and sialolithiasis. Recognizing these associations can inform clinical practice in understanding the pathogenesis of the disease, risk assessment, early diagnosis, and preventive measures.</p>

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Systemic risk factors contributing to sialolithiasis: a big-data retrospective analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月6日

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  • Ehud Jonas,
  • Leon Gillman,
  • Daya Masri,
  • Eli Rosenfeld,
  • Gavriel Chaushu,
  • Gal Avishai

摘要

Aims

To investigate systemic risk factors contributing to the formation of sialolithiasis.

Methods

A retrospective big-data cohort study was conducted using data from Clalit HMO in Israel. Sialolithiasis patients were identified based on ICD-10 codes and matched with controls. Univariate and multivariable logistic regression analyses were performed to assess the relationship between systemic conditions and sialolithiasis. P-value < 0.05 was considered significant.

Results

5100 sialolithiasis cases were collected. The statistical analysis revealed that hypertension (OR = 1.14, 1.08–1.24, p < 0.001), dyslipidemia (OR = 1.33, 1.27–1.41, p < 0.001), nephrolithiasis (OR = 1.55, 1.42–1.63, p < 0.001) and cholelithiasis (OR = 1.22, 1.16–1.27, p < 0.001) were significantly correlated with sialolithiasis.

Conclusions

Systemic diseases, particularly dyslipidemia, play a role in the development of sialolithiasis. Further research is needed to explore the underlying mechanisms linking these conditions and to develop targeted strategies for the prevention of sialolithiasis.

Clinical relevance

This study highlights the potential interplay between systemic conditions and sialolithiasis. Recognizing these associations can inform clinical practice in understanding the pathogenesis of the disease, risk assessment, early diagnosis, and preventive measures.