AI Article Synopsis

  • The study investigates the relationship between the serum albumin-to-serum creatinine ratio (sACR) and in-hospital mortality among patients with severe acute pancreatitis (SAP).
  • Researchers categorized patients based on sACR levels and used statistical analyses to determine how these levels affect mortality risk.
  • Findings indicate that lower sACR levels are associated with higher in-hospital mortality, suggesting sACR can help identify high-risk patients for better treatment outcomes.

Article Abstract

Background: The serum albumin-to-serum creatinine ratio (sACR) is independently associated with the prognosis of multiple diseases. However, its relationship with in-hospital mortality of patients with severe acute pancreatitis (SAP) remains unclear.

Methods: Patients diagnosed with SAP between April 2016 and December 2023 were collected. These patients were categorized into low and high sACR groups based on an optimal cut-off value calculated using Youden's index. Multivariate logistic regression analysis was utilized to examine the relationship between sACR levels and the in-hospital mortality. Additionally, a limited restricted cubic spline (RCS) method was employed to evaluate the nonlinear relationship between sACR values and the risk of in-hospital mortality. The potential for unmeasured confounders between sACR levels and in-hospital mortality was also explored through the calculation of the E value.

Results: A total of 114 eligible patients were included in this sutdy. The multivariate logistic regression analysis indicated an independent association between sACR levels and in-hospital mortality (p < 0.001). The RCS analysis demonstrated a linear correlation between sACR values and the risk of in-hospital mortality (P for non-linearity > 0.05), where the risk increased as the sACR value decreased.

Conclusions: The research findings suggest that sACR levels are independently associated with in-hospital mortality of patients with SAP, providing a means for early identification of those at high risk of in-hospital mortality. This early identification may facilitate the optimizing and strengthening of treatments, ultimately leading to improved outcomes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11552424PMC
http://dx.doi.org/10.1186/s12876-024-03493-4DOI Listing

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