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Evaluating three biomarkers as prognostic factors of in-hospital mortality and severity in heart failure: A prospective cohort
To identify the relationship between red blood cell distribution width (RDW, %), interleukin-6 (IL-6) (pg/ml), high sensitivity-c-reactive protein (hs-CRP) (mg/l), in-hospital mortality and disease severity among patients with heart failure (HF). Prospective cohort. We included adults diagnosed with...
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Published in: | Revista portuguesa de cardiologia 2022-01, Vol.41 (1), p.31-40 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
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Online Access: | Get full text |
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Summary: | To identify the relationship between red blood cell distribution width (RDW, %), interleukin-6 (IL-6) (pg/ml), high sensitivity-c-reactive protein (hs-CRP) (mg/l), in-hospital mortality and disease severity among patients with heart failure (HF).
Prospective cohort. We included adults diagnosed with acute non-ischemic HF in 2015. The dependent variables were in-hospital mortality (yes or no) and disease severity. The latter was assessed with the Get With The Guidelines-HF score. We used hierarchical regression models to describe the pattern of association between biomarkers, mortality, and severity. We used the Youden index to identify the best cut-off for mortality prediction.
We included 167 patients; the mean age was 72.61 (SD: 11.06). The majority of patients presented with New York Heart Association classification II (40.12%) or III (43.11%). After adjusting for age and gender, all biomarkers were associated with mortality. After adding comorbidities, only IL-6 was associated. The final model with all clinical variables showed no effect from any biomarker. The best cut-off for RDW, hs-CRP and IL-6 for mortality were 14.8, 68.7 and 52.9, respectively. IL-6 presented the highest sensitivity (100%), specificity (75.35%) and area under the curve (0.91).
No biomarker is independent from the most important clinical variables; therefore it should not be used for management modifications.
Identificar a relação entre a amplitude de distribuição dos eritrócitos (ADE, %), IL-6 (pg/nl), hs-PCR (mg/l), mortalidade intra-hospitalar e gravidade da doença em doentes com insuficiência cardíaca (IC).
Coorte prospetiva. Incluímos adultos com IC aguda de etiologia não isquémica durante o ano de 2015. As variáveis dependentes foram a mortalidade intra-hospitalar (sim ou não) e a gravidade da doença. A última foi avaliada com o score de Get With Guidelines-HF (GWTG-HF). Utilizámos modelos de regressão hierarquizados para descrever o padrão de associação entre os biomarcadores, mortalidade e gravidade. Utilizámos o índice Youden para identificar o melhor cut-off na previsão da mortalidade.
Foram incluidos 167 doentes. A idade média foi de 72,61 (MS: 11,6). A maioria dos doentes estava em Classe II (40,12%) ou III NYHA (43,11%). Após ajuste para idade e género, todos os biomarcadores se associaram à mortalidade. Após adicionar as comorbilidades, só a IL-6 se associou com mortalidade. O modelo final com todas as variáveis clínicas incluidas não mostrou qualquer efeito de qual |
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ISSN: | 0870-2551 2174-2030 |
DOI: | 10.1016/j.repc.2021.03.010 |