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February 8, 2026European Heart Journal0 citations

Association between cortisol, glucose and hospital mortality in acute coronary syndromes: a causal inference analysis.

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DCDiego CostaSSS P SwieszkowskiJAJ M Aladio

Key Result

Elevated cortisol, not glucose, independently increased hospital mortality risk in acute coronary syndrome patients (OR 1.073, p<0.0001 vs. OR 1.0, p=0.9).

Key Points

  • To investigate the causal relationships of cortisol and glucose on hospital mortality in acute coronary syndromes.
  • Conducted a single-center, prospective, observational study of ACS patients.
  • Measured serum glucose and cortisol levels on admission.
  • Constructed a directed acyclic graph to relate clinical variables with hospital mortality.
  • Developed a logistic regression model based on minimal sufficient adjustment sets.
  • Hospital mortality rate was 7.2% among the 290 patients studied.
  • Fatal cases showed significantly higher cortisol (32.36 ± 19.74 mg/dl) compared to survivors (15.48 ± 11.41 mg/dl).
  • Elevation in cortisol levels was significantly associated with increased mortality (OR = 1.073, p < 0.0001).
  • High glucose levels were not directly linked to increased mortality (OR = 1.0, p = 0.9).

Structured PICO

Do elevated cortisol and glucose levels independently increase hospital mortality in patients with acute coronary syndromes?

P
Population
290 patients admitted to the coronary care unit with a diagnosis of acute coronary syndromes (ACS), mean age 68.5 ± 12.3 years, 62% male, 31% STEMI, 67% hypertension, and 27% diabetes.
I
Intervention
Elevated admission serum cortisol and glucose levels
C
Comparator
Lower/normal admission serum cortisol and glucose levels
O
Outcome
Hospital mortalityhard clinical

In patients with acute coronary syndromes, elevated cortisol, rather than hyperglycemia per se, appears to drive increased hospital mortality, suggesting cortisol acts as a marker of stress response that confounds the glucose-mortality relationship.

Abstract

Abstract Background Hyperglycemia is associated with an increased risk for death in acute coronary syndromes (ACS). Elevated blood glucose could be related to underlying glucose metabolism abnormalities or be caused by a counter-regulatory stress response. An important part of this response involves cortisol, which in turn can cause hyperglycemia through various physiological mechanisms and has also shown to be associated with increased mortality. To determine the causal relationships underlying the effects of glucose, cortisol and diabetes over mortality in ACS, we propose using a causal inference method approach. Methods Single-center, prospective, observational study. Patients admitted to the coronary care unit with a diagnosis of ACS were included. On admission, blood samples were obtained to measure serum glucose and cortisol. Clinical variables were obtained from electronic medical records. A directed acyclic graph (DAG) relating clinical variables, inflammation markers, sympathetic nervous system activity, glucose and cortisol with hospital mortality was constructed with DAGitty v3.1. The obtained adjustment sets were used to build a logistic regression model. Statistical analysis was performed using R version 4.3.3, and significance was set at p 0.05. Results The DAG can be observed in figure 1. The minimal sufficient adjustment sets for estimating the total effect of cortisol on hospital mortality were: age, C-reactive protein, diabetes, glucose, Killip class, ST segment deviation, and troponin elevation. We included 290 patients. The mean age was 68.5 ± 12.3 years, and 62% were male. 31% had STEMI, 67% hypertension, and 27% diabetes. Hospital mortality was 7.2%. Fatal cases demonstrated significantly higher cortisol levels compared to survivors (32.36 ± 19.74 mg/dl vs. 15.48 ± 11.41 mg/dl, p = 0.0009). Similarly, glucose levels were also elevated in fatal cases (206.3 ± 142.7 mg/dl vs. 131.8 ± 60.8 mg/dl, p = 0.03). Correspondingly, univariate analysis revealed a significant association between elevated cortisol and mortality (OR = 1.073, 95% CI: 1.044 - 1.104, p 0.0001), as well as between high glucose levels and mortality (OR = 1.009, 95% CI: 1.005 - 1.014, p = 0.0001). The regression model results can be observed in the table. Cortisol, as well as age, diabetes, Killip D class and ST segment deviation were significantly associated with a greater hospital mortality. Troponin elevation was numerically associated with increased mortality, with OR = 9.56 and p = 0.093. Glucose levels were not associated with increased mortality, with an OR of 1.0 and p = 0.9, nor was C-reactive protein. Conclusion This causal inference analysis suggests that hyperglycemia per se is not directly associated with worse outcomes in acute coronary syndromes. Instead, cortisol, as a marker of the stress response, may drive increased mortality and confound the observed relationship between glucose levels and adverse events.Figure:directed acyclic graph Table:Model results

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Cite This Study

Costa et al. (2025) studied this question. Elevated cortisol, not glucose, independently increased hospital mortality risk in acute coronary syndrome patients (OR 1.073, p<0.0001 vs. OR 1.0, p=0.9).

synapsesocial.com/papers/698828620fc35cd7a8847ddahttps://doi.org/10.1093/eurheartj/ehaf784.1617
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