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Abstract
Background: In patients admitted with acute heart failure (AHF), plasma levels of antigen carbohydrate 125 (CA125) have shown to be useful for risk stratification. We sought to determine a CA125 cutpoint for identifying patients at low risk of 1-month death or the composite of death/HF-readmission following admission for AHF.
Methods: The derivation cohort included consecutive patients admitted with AHF (n=3231). CA125 cut-off values measured during early admission that yielded a 90% negative predictive value (NPV) and sensitivity up to 85% were identified. Then, the adequacy of these cutpoints and the risk of 1-month death/HF-readmission was further tested in the multivariate survival analysis using the Royston-Parmar method. The cutpoint associated with the best-fitted model (using AIC and BIC criteria) was deemed as the optimal cutpoint. The chosen cutpoint was externally validated in a cohort of patients hospitalized from the BIOSTAT-CHF (n=1583).
Results: In the derivation cohort, median (IQR) CA125 was 57 U/mL (25.3-157); The optimal cut-off was < 23 U/ml (21.5% of patients), which yielded a NPVs of 99.3% and 94.1% for death and the composite endpoint, respectively. In multivariable survival analyses, a CA125<23 U/mL was independently associated with a lower risk of death (HR=0.20, CI 95%:0.08-0.50;p<0.001) and the combined endpoint (HR=0.63, CI95%:0.45-0.90; p=0.009). The ability of this cutpoint for discriminating patietns at low 1-month risk was confirmed in the validation cohort (NPVs of 98.6% and 96.6% for deaths and the composite endpoint). This predicted ability of this cut-off remained significant at 6-month follow-up.
Conclusions: In patients admitted with AHF, patients with CA125<23 U/mL identified a subgroup of patients at low risk of short-term adverse events, a population that may not require intense post-discharge monitoring.
Methods: The derivation cohort included consecutive patients admitted with AHF (n=3231). CA125 cut-off values measured during early admission that yielded a 90% negative predictive value (NPV) and sensitivity up to 85% were identified. Then, the adequacy of these cutpoints and the risk of 1-month death/HF-readmission was further tested in the multivariate survival analysis using the Royston-Parmar method. The cutpoint associated with the best-fitted model (using AIC and BIC criteria) was deemed as the optimal cutpoint. The chosen cutpoint was externally validated in a cohort of patients hospitalized from the BIOSTAT-CHF (n=1583).
Results: In the derivation cohort, median (IQR) CA125 was 57 U/mL (25.3-157); The optimal cut-off was < 23 U/ml (21.5% of patients), which yielded a NPVs of 99.3% and 94.1% for death and the composite endpoint, respectively. In multivariable survival analyses, a CA125<23 U/mL was independently associated with a lower risk of death (HR=0.20, CI 95%:0.08-0.50;p<0.001) and the combined endpoint (HR=0.63, CI95%:0.45-0.90; p=0.009). The ability of this cutpoint for discriminating patietns at low 1-month risk was confirmed in the validation cohort (NPVs of 98.6% and 96.6% for deaths and the composite endpoint). This predicted ability of this cut-off remained significant at 6-month follow-up.
Conclusions: In patients admitted with AHF, patients with CA125<23 U/mL identified a subgroup of patients at low risk of short-term adverse events, a population that may not require intense post-discharge monitoring.
Original language | English |
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Pages (from-to) | 316-324 |
Number of pages | 9 |
Journal | Revista Española de Cardiología |
Volume | 75 |
Issue number | 4 |
Early online date | 19 Mar 2021 |
DOIs | |
Publication status | Published - 1 Apr 2022 |
Keywords
- CA125
- antigen carbohydrate 125
- Worsening Heart Failure
- Congestion
- Outcome
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Aref#d: 21596. BIOSTAT-CHF: A Systems Biology Study to Tailored Treatment in Chronic Heart Failure
Doney, A. (Investigator), Guthrie, B. (Investigator), Lang, C. (Investigator), Morris, A. (Investigator), Palmer, C. (Investigator) & Struthers, A. (Investigator)
COMMISSION OF THE EUROPEAN COMMUNITIES
1/04/10 → 31/03/15
Project: Research