# C‐Reactive Protein–Albumin–Lymphocyte Index as a Predictor of All‐Cause and Cardiovascular Mortality in Individuals With Diabetes or Prediabetes: A National Population‐Based Cohort Study

## TL;DR

This study finds that a new blood marker called CALLY can predict lower risk of death in people with diabetes or prediabetes.

## Contribution

The study introduces the CALLY index as a novel predictor of mortality in individuals with diabetes or prediabetes.

## Key findings

- Higher CALLY index is linked to lower all-cause mortality in people with diabetes or prediabetes.
- The CALLY index also shows a significant inverse relationship with cardiovascular mortality.
- Survival probabilities increase with higher CALLY index quartiles.

## Abstract

The C‐reactive protein–albumin–lymphocyte (CALLY) index is a novel composite marker that reflects systemic inflammation, nutrition, and immune status. However, its association with mortality among individuals with diabetes or prediabetes remains uncertain. This study aimed to assess the relationship between the CALLY index and both all‐cause (ACM) and cardiovascular mortality (CVM) in U.S. adults with diabetes or prediabetes.

A total of 8463 adults with diabetes or prediabetes from the U.S. NHANES (2003–2010 and 2015–2018) were included in the analysis. Cox proportional hazards models were used to evaluate potential linear associations between the CALLY index and ACM and CVM. Kaplan–Meier survival curves and log‐rank tests were used to compare cumulative survival across groups. Restricted cubic spline (RCS) models were applied to examine potential nonlinear associations.

During an average follow‐up of 7.83 years, 1391 participants died, 470 from cardiovascular causes. After adjusting for all confounders, the natural log‐transformed (ln) CALLY index was inversely associated with ACM (HR = 0.83, 95% CI: 0.79–0.88) and CVM (HR = 0.82, 95% CI: 0.74–0.92). Compared to participants in the lowest quartile of the ln CALLY index, those in the highest quartile had significantly lower risks of ACM (HR = 0.67, 95% CI: 0.55–0.81) and CVM (HR = 0.66, 95% CI: 0.45–0.98). Kaplan–Meier survival analysis showed significantly higher survival probabilities among individuals in higher ln CALLY index quartiles (p < 0.001). RCS models further indicated a nonlinear relationship between the ln CALLY index and both ACM and CVM (p < 0.0001 for nonlinearity).

A higher CALLY index is independently associated with lower risks of ACM and CVM among individuals with diabetes or prediabetes. These findings suggest that the CALLY index may serve as a valuable marker for monitoring mortality risk in these populations.