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Associations of the Charlson comorbidity index with depression and mortality among the U.S. adults
Ying-Zhao Wang1, Chun Xue2, Chao Ma3
1Department of Neurology, Qianwei Hospital of Jilin Province, Changchun, China.
Insights
Chronic comorbidities, measured by the Charlson Comorbidity Index (CCI), increase depression risk. High CCI and depression significantly elevate mortality risk, highlighting the need for targeted clinical care.
Area of Science:
- Epidemiology
- Clinical Medicine
- Public Health
Background:
- Chronic comorbidities are linked to increased risks of depression and mortality.
- The Charlson Comorbidity Index (CCI) is a widely used measure of disease burden.
- Understanding the interplay between comorbidities, depression, and mortality is crucial for patient outcomes.
Purpose of the Study:
- To investigate the association between the Charlson Comorbidity Index (CCI) and depression.
- To examine the combined impact of CCI and depression on all-cause mortality.
- To identify patient groups at highest risk for adverse outcomes.
Main Methods:
- Utilized data from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) with 23,927 adult participants.
- Categorized CCI into three groups: CCI=0 (T1), CCI=1 (T2), and CCI≥2 (T3).
- Employed multivariable logistic regression and Cox proportional hazards models to analyze relationships.
Main Results:
- A significant positive association was found between CCI and depression (OR=1.25).
- Higher CCI was linked to increased mortality in individuals with depression (HR=1.14).
- Patients with CCI≥2 and depression faced a substantially elevated mortality risk (HR=2.01) compared to those with CCI=0 and no depression.
Conclusions:
- The Charlson Comorbidity Index (CCI) is positively correlated with depression risk.
- Increased all-cause mortality is associated with higher CCI, particularly in patients with depression.
- Prioritizing clinical care for individuals with high CCI (≥2) and depression is essential to reduce mortality.
Background:
Chronic comorbidities are often associated with higher risks of depression and mortality. This study aims to explore the relationships between the Charlson Comorbidity Index (CCI) and depression, and their combined effect on mortality.
Methods:
This study made use of data gathered in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018, including a collective of 23,927 adult participants. According to CCI score distribution, CCI was categorized into three groups (T1 with CCI = 0; T2 with CCI = 1; T3 with CCI ≥ 2). In the CCI ≥ 2 group, patients may have two or more chronic diseases. Multivariable logistic regression models were employed to explore the relationship between CCI and depression. The study utilized the Cox proportional hazards model to investigate the association between CCI, the combination of CCI and depression, and all-cause mortality.
Results:
Our analysis revealed that after adjusting for potential confounders, a positive association was found between CCI and depression (OR = 1.25, 95% CI: 1.21, 1.29). Moreover, a greater CCI was found to be closely linked to higher mortality in individuals with depression (HR = 1.14, 95% CI 1.11, 1.18). Stratifying CCI into tertiles, higher tertiles of CCI (T2, T3 vs T1) also showed positive associations with depression and all-cause mortality. For patients with CCI ≥2 (T3) combined with depression, the risk of mortality was significantly elevated compared to those with CCI = 0 (T1) and non-depressed participants (HR = 2.01, 95% CI: 1.60, 2.52).
Conclusion:
The study findings demonstrate a positive correlation between CCI and the risk of depression, along with an association with increased all-cause mortality among depression patients. Hence, it is important to prioritize the clinical care of patients with a high CCI (≥2) and depression in order to lower the chances of mortality.
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