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Am J Emerg Med ; 35(4): 610-614, 2017 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-28062207

RESUMO

BACKGROUND: Acute dyspnea affects a large heterogeneous patient group with high mortality and readmission rates. PURPOSE: To investigate if cardiometabolic biomarkers and clinical characteristics predict readmission and death in patients hospitalized for acute dyspnea. METHODS: 65 dyspnea patients at a general internal medicine ward were followed for six months. The combined endpoint was readmission or death. MEASUREMENTS AND RESULTS: Cardiometabolic biomarkers at admission were related to the endpoint in Cox proportional hazard models (adjusted for sex, age, oxygen saturation, respiratory rate and C-reactive protein (CRP)). The biomarkers tissue-type plasminogen activator (tPA), prolactin (PRL), tumor necrosis factor receptor superfamily member 6 (FAS) and C-C motif chemokine 3 (CCL3) were independently and significantly related to the endpoint and combined into a biomarker risk score (BRS). Each SD increment of the BRS conferred a hazard ratio (HR) of 2.13 (1.39-3.27) P=0.001. The top vs bottom tertile of the BRS conferred a HR of 4.75 (1.93-11.68) P=0.001. Dyspnea severity was also associated with worse outcome, HR=3.43 (1.28-9.20) P=0.014. However, when mutually adjusted the BRS remained significant (P=0.004) whereas dyspnea severity was not. The BRS was related to the endpoint among patients with mild to moderate dyspnea (P=0.016) but not among those with severe dyspnea. CONCLUSION: A score of tPA, PRL, FAS and CCL3 predicts 6-month death and readmission in patients hospitalized for acute dyspnea and may prove useful to optimize length of stay and follow-up. Although the BRS outweighs dyspnea severity in prediction of the endpoint, its prognostic role is strongest in mild-moderate dyspnea.


Assuntos
Quimiocina CCL3/sangue , Dispneia/sangue , Hospitalização , Mortalidade , Readmissão do Paciente/estatística & dados numéricos , Prolactina/sangue , Ativador de Plasminogênio Tecidual/sangue , Receptor fas/sangue , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/sangue , Feminino , Humanos , Masculino , Prognóstico , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Medição de Risco , Índice de Gravidade de Doença , Suécia
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