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Updated: May 27, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
THE CAUSAL ASSOCIATION OF CARDIOMETABOLIC DISEASES AND SEPSIS-RELATED OUTCOMES: A MENDELIAN RANDOMIZATION AND
Mengmeng Qi1, Jin Wei2, Meng Zhang2
1Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Insights
Cardiometabolic diseases like type 2 diabetes, obesity, and heart failure may causally increase sepsis risk. This study provides genetic and observational evidence, suggesting increased clinical vigilance for sepsis in patients with these conditions.
Area of Science:
- Cardiology
- Genetics
- Infectious Disease Epidemiology
Background:
- The causal link between cardiometabolic disease (CMD) and sepsis remains unclear.
- Understanding this relationship is crucial for patient outcomes and public health.
Purpose of the Study:
- To investigate the potential causal relationship between cardiometabolic diseases and sepsis.
- To explore potential mediating factors in this relationship.
Main Methods:
- Utilized Mendelian randomization (MR) analyses with genome-wide association study data.
- Conducted a two-step mediation MR analysis to identify mediators.
- Performed an observational study using the Medical Information Mart for Intensive Care IV database with multivariable logistic regression.
Main Results:
- MR analysis indicated causal links between type 2 diabetes mellitus, obesity, and heart failure with sepsis.
- Obesity and heart failure were also causally associated with sepsis critical care admission.
- Observational data confirmed associations between several CMDs and sepsis, including hypertension, stroke, and hyperlipidemia.
Conclusions:
- This study provides novel genetic and observational evidence suggesting a causal relationship between cardiometabolic diseases and sepsis.
- Clinical attention to sepsis risk is warranted in patients diagnosed with cardiometabolic conditions.
Abstract:
Objective: The causality between cardiometabolic disease (CMD) and sepsis has remained largely unknown. To elucidate this, we conducted a Mendelian randomization (MR) and population study. Methods: First, we used univariable and multivariable MR analyses to investigate causal associations between CMD and sepsis-related outcomes. We obtained genome-wide association study summary from both the MRC Integrative Epidemiology Unit and the FinnGen consortium. Subsequently, a two-step mediation MR analysis was performed to explore mediators. Afterward, we conducted an observational study using the Medical Information Mart for Intensive Care IV database, in which multivariable logistic regression models were utilized to examine the relationship between CMD and sepsis-related outcomes. Results: In the MR study, type 2 diabetes mellitus (OR = 1.058, 95% CI = 1.017-1.100, P = 0.005), obesity (OR = 1.113, 95% CI = 1.057-1.172, P < 0.001), and heart failure (HF) (OR = 1.178, 95% CI = 1.063-1.305, P = 0.002) were independently causally related to sepsis. Obesity (OR = 1.215, 95% CI = 1.027-1.437, P = 0.023) and HF (OR = 1.494, 95% CI = 1.080-2.065, P = 0.015) also showed independent causal associations with sepsis critical care admission. Mediation MR analysis identified 23 blood metabolites potentially causally linked to sepsis ( P < 0.05), yet none mediated the relationship between CMD and sepsis. In the observational study, we found associations between sepsis and several conditions including type 2 diabetes mellitus, obesity, hypertension, stroke, HF, and hyperlipidemia after adjusting for confounding factors. Moreover, hypertension, stroke, HF, coronary artery disease, and hyperlipidemia were linked to sepsis critical care admission. Conclusion: This study has, for the first time, revealed indicative evidence of a causal relationship between CMD and sepsis through observational and genetic evidence. Taken together, clinical attention to sepsis may be warranted among patients with CMD.
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