The Impact of the CALLY Index on All-Cause Mortality in Patients With Depression: A Longitudinal Analysis Using
Yin Zhang1, Rula Sa2, Huan Jia2
1Mental Health College Inner Mongolia Medical University Hohhot China.
Background And Aim:
The C-reactive protein-albumin-lymphocyte (CALLY) index is an emerging biomarker, yet, its potential association with all-cause mortality risk in patients with depression remains unexplored. The present investigation sought to evaluate this potential correlation.
Methods:
This analysis included 4,426 adults with depression from the National Health and Nutrition Examination Survey (NHANES) (2005-2010, 2015-2016). The CALLY index was calculated as (lymphocyte count × albumin)/CRP × 10³. Multivariable Cox regression was used to assess its association with all-cause mortality. Restricted cubic spline (RCS) and Kaplan-Meier curves examined nonlinear relationships and survival probabilities across strata.
Results:
Over a median follow-up of 121 months, the cumulative all-cause mortality rate was 14.84%. Cox regression showed that each one-unit increase in log-transformed CALLY index was associated with a 41% lower risk of all-cause mortality. When categorized into quartiles, the highest quartile (Q4) demonstrated significantly lower hazard ratios (HR) across all models compared to the lowest (Q1). Kaplan-Meier analysis revealed an inverse relationship between CALLY index levels and mortality (p < 0.0001). RCS analysis identified a nonlinear l-shaped association (p-trend < 0.001), with an inflection point at Log-CALLY = 4.09. Subgroup analyses indicated that smoking status, poverty income ratio(PIR), chronic respiratory diseases(CRD), and diabetes significantly modified this association (all p for interaction < 0.05).
Conclusion:
The CALLY index was independently associated with all-cause mortality in patients with depression, with lower values indicating higher long-term mortality risk. It may serve as a potential prognostic marker reflecting inflammation and nutritional status in this population.
Related Concept Videos
Depression: Overview
Bias in Epidemiological Studies
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...


