Catalan
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Acta Cardiologica 2019-Jan

Serum albumin level and long-term outcome in acute heart failure.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Arnaud Ancion
Sophie Allepaerts
Sébastien Robinet
Cecile Oury
Luc Pierard
Patrizio Lancellotti

Paraules clau

Resum

Hypoalbuminemia is common in heart failure (HF), especially in elderly patients. It is associated with an increased risk of death. The present study sought to examine the prognostic significance of serum albumin level in the prediction of long-term mortality in patients admitted for acute HF.We examined the association between albumin and hospital mortality in a cohort of 509 patients admitted for acute HF. None of the patients had infectious disease, severe arrhythmias (atrial fibrillation, ventricular tachycardia, ventricular fibrillation), required invasive ventilation or presented with acute coronary syndrome or primary valvular disease. Sixty-nine patients (14%) died during the 1-year follow-up. With multivariable analysis, haemoglobin level (p = .003), systolic blood pressure (p = .004) and serum albumin level (p = .003) emerged as independent predictors of long-term mortality. Hypoalbuminemia (<35.7 g/L) had a hazard ratio of 2.01 (95% CI 1.24-3.25) and haemoglobin of 2.6 (95% CI 1.29-5.22) for predicting long-term mortality.Serum albumin level measured at admission, especially if combined with anaemia, can serve as a simple prognostic factor in acute HF for predicting long-term outcome.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge