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The Charlson comorbidity index and short-term readmission in patients with heart failure: A retrospective cohort
Dongmei Wei1,2, Yang Sun3, Rongtao Chen3
1Department of Cardiovascular, Guangzhou University of Chinese Medicine First Affiliated Hospital, Guangzhou, China.
Insights
The Charlson Comorbidity Index (CCI) predicts heart failure readmissions. Higher CCI scores significantly increase the risk of short-term readmission in heart failure patients.
Area of Science:
- Cardiology
- Health Services Research
Background:
- The Charlson Comorbidity Index (CCI) is a widely used measure of disease burden.
- Its association with short-term readmission in heart failure (HF) patients remains unclear.
Purpose of the Study:
- To investigate the independent relationship between the CCI and short-term readmission in HF patients.
- To determine the predictive value of CCI for clinical outcomes in HF.
Main Methods:
- A cohort of 2008 HF patients was studied from December 2016 to June 2019.
- Patients were categorized by CCI (low < 3, high >= 3).
- Multivariable logistic regression and 2-piece linear regression models were used for analysis.
Main Results:
- Patients with a high CCI exhibited a higher risk of short-term readmission.
- A curvilinear association was observed between CCI and readmission, with a saturation point at CCI 2.97.
- For CCI scores > 2.97, readmission risk significantly increased (OR, 2.66; 95% CI, 1.566-4.537).
Conclusions:
- A high CCI is significantly associated with increased short-term readmission in HF patients.
- The CCI demonstrates predictive value for clinical outcomes and readmission rates in HF.
- CCI can aid in estimating readmission risk for heart failure patients.
Abstract:
The relationship between the Charlson comorbidity index (CCI) and short-term readmission is as yet unknown. Therefore, we aimed to investigate whether the CCI was independently related to short-term readmission in patients with heart failure (HF) after adjusting for other covariates. From December 2016 to June 2019, 2008 patients who underwent HF were enrolled in the study to determine the relationship between CCI and short-term readmission. Patients with HF were divided into 2 categories based on the predefined CCI (low < 3 and high > =3). The relationships between CCI and short-term readmission were analyzed in multivariable logistic regression models and a 2-piece linear regression model. In the high CCI group, the risk of short-term readmission was higher than that in the low CCI group. A curvilinear association was found between CCI and short-term readmission, with a saturation effect predicted at 2.97. In patients with HF who had CCI scores above 2.97, the risk of short-term readmission increased significantly (OR, 2.66; 95% confidence interval, 1.566-4.537). A high CCI was associated with increased short-term readmission in patients with HF, indicating that the CCI could be useful in estimating the readmission rate and has significant predictive value for clinical outcomes in patients with HF.
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