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Development of a predictive model of hospitalization in primary care patients with heart failure.

Luis García-OlmosRio AguilarDavid Lora-PablosMontserrat Carmona RodríguezAngel AlberquillaRebeca García-CaballeroLuis Sánchez-Gómeznull null
Published in: PloS one (2019)
This is a simple model to predict hospitalization over a 12-month period based on four variables: NYHA functional class, diabetes, COPD and the emotional dimension of the MLHFQ scale. It has an acceptable discriminative capacity enabling the identification of patients at risk of hospitalization.
Keyphrases
  • primary care
  • type diabetes
  • chronic obstructive pulmonary disease
  • cardiovascular disease
  • metabolic syndrome
  • skeletal muscle
  • general practice
  • weight loss
  • bioinformatics analysis