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Multi-Biomarker Points and Outcomes in Patients Hospitalized for Heart Failure: Insights From the China PEACE
Guangda He1, Lihua Zhang1, Xiqian Huo1
1National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Insights
A new multi-biomarker panel for heart failure (HF) identifies patients at high risk for adverse outcomes. Higher scores indicate greater systemic impairment and worse quality of life in hospitalized HF patients.
Area of Science:
- Cardiology
- Biomarker Research
- Clinical Outcomes
Background:
- Heart failure (HF) is a major cause of hospitalization and mortality.
- Conventional biomarkers offer insights into HF pathophysiology but a comprehensive assessment is needed.
- Systemic impairment impacts clinical outcomes and quality of life in HF patients.
Purpose of the Study:
- To develop and validate a multi-biomarker panel for assessing systemic impairment in hospitalized heart failure (HF) patients.
- To evaluate the relationship between this multi-biomarker panel and clinical outcomes, including mortality and rehospitalization.
- To assess the association between the multi-biomarker panel and quality of life in HF patients.
Main Methods:
- A multi-biomarker panel was constructed using five conventional biomarkers: N-terminal pro-B type natriuretic peptide, high-sensitivity troponin T, hemoglobin, albumin, and creatinine.
- Biomarker weights were determined by their association with cardiovascular death in a developing cohort.
- The panel's utility was validated in a separate cohort, assessing relationships with 1-year cardiovascular death, rehospitalization, all-cause death, and quality of life using Cox proportional hazard and generalized linear models.
Main Results:
- 4,693 hospitalized HF patients were analyzed, with a median age of 67 years.
- A multi-biomarker score (0-12) was developed, with higher scores indicating greater systemic impairment.
- Patients in the highest score group (>6) had a 5.69-fold increased risk of cardiovascular death and worse quality of life compared to the lowest score group (<2).
Conclusions:
- Systemic impairment, as reflected by abnormal conventional biomarker values, is prevalent in hospitalized HF patients.
- The developed multi-biomarker panel effectively quantifies systemic impairment and predicts adverse clinical outcomes.
- This panel offers a valuable tool for risk stratification and management of patients hospitalized for heart failure.
Objective:
To quantitatively characterize the pattern of systemic impairment reflected by conventional biomarkers and assess how it relates to clinical outcomes and quality of life among patients hospitalized for heart failure (HF).
Methods:
Patients hospitalized for HF from 52 hospitals in China were enrolled between 2016 and 2018. They were divided into developing and validating cohorts; the developing cohort was used for calculating the weights of biomarkers and constructing the multi-biomarker panel, while the validating one was used for evaluating the relationship between multi-biomarker points and outcomes. In total, five conventional biomarkers reflecting various pathophysiological processes were included in the panel: N-terminal pro-B type natriuretic peptide, high-sensitivity troponin T, hemoglobin, albumin, and creatinine. The weights of the biomarkers were defined based on their relationship with cardiovascular death, and each patient had a multi-biomarker point ranging from 0 to 12. The primary clinical outcome was cardiovascular death, and the other clinical outcomes included rehospitalization for HF, all-cause death, and all-cause rehospitalization in 1-year. The quality of life was measured using Kansas City Cardiovascular Questionnaire. Multi-variable Cox proportional hazard models were used to assess the risks of clinical outcomes, and generalized linear models were used to evaluate the quality of life.
Results:
In total, 4,693 patients hospitalized for HF were included in this analysis; the median (interquartile range, IQR) age was 67 (57-75) years old and 1,763 (37.6%) were female. The median multi-biomarker point was 5 (IQR, 2-6). There were 18.0% of patients in the low point group (<2), 29.4% in the mid-low point group (2-4), 27.8% in the mid-high point group (5-6), and 24.7% in the high point group (>6). Compared with those in the low point group, the patients in the high point group had a significantly excess risk of cardiovascular death (adjusted hazard ratio: 5.69, 95% CI, 3.33-9.70). Furthermore, patients with higher points were also more prone to worse quality of life.
Conclusion:
Systemic impairment reflected by abnormal conventional biomarker values was common amongst patients hospitalized for HF and had substantially cumulative adverse influence on clinical outcomes and quality of life.
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