Association between remnant cholesterol inflammation Index and in-hospital New-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction - Summary - MDSpire

Association between remnant cholesterol inflammation Index and in-hospital New-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction

  • By

  • Yamin Xu

  • Xiabing Hu

  • Yun Qian

  • Hong Ding

  • Zhen Li

  • Xiuyu Ma

  • Pingzhen Wu

  • June 25, 2026

  • 0 min

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Objective:

To investigate the association between remnant cholesterol inflammatory index (RCII) and the occurrence of in-hospital new-onset atrial fibrillation (NOAF) in patients with ST-segment elevation myocardial infarction (STEMI).

Approach:
  • Study Design: Single-center retrospective observational study enrolling patients with first-time acute STEMI undergoing emergency percutaneous coronary intervention (PCI) from January 2022 to December 2025.
  • RCII Definition: RCII was defined as the product of remnant cholesterol (RC) and high-sensitivity C-reactive protein (hs-CRP).
  • Statistical Analysis: Multivariable logistic regression and restricted cubic spline analysis were used to assess the relationship between RCII and NOAF.
Key Findings:
  • Out of 945 STEMI patients, 79 (8.36%) developed NOAF.
  • Patients with NOAF had significantly higher levels of RCII, RC, and hs-CRP compared to those without NOAF.
  • Multivariable logistic regression showed hs-CRP (OR = 2.96), RCII (OR = 4.71), and RC (OR = 2.78) were independently associated with NOAF.
  • RCII demonstrated a significant nonlinear dose–response relationship with NOAF risk.
  • RCII identified NOAF with an area under the curve of 0.756, outperforming RC and hs-CRP alone.
  • interpretation
  • limitations
  • conclusion
Interpretation:

Higher RCII is independently associated with an increased risk of in-hospital NOAF and shows moderate discriminatory ability.

Limitations:
  • Single-center study may limit generalizability.
  • Retrospective design may introduce selection bias.
Conclusion:

RCII may serve as a simple, cost-effective, and efficient early risk stratification tool for identifying patients at high risk of NOAF.

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