Predictive Value of Underweight Status for Patients With Peripheral Artery Disease With Claudication

Angiology. 2018 Jul;69(6):513-522. doi: 10.1177/0003319717736627. Epub 2017 Oct 31.

Abstract

We evaluated whether underweight status is associated with poor prognosis in patients with peripheral artery disease (PAD) with claudication, excluding critical limb ischemia. We identified 441 claudicants hospitalized for cardiovascular disease between 2005 and 2012. Patients were divided into 4 groups according to body mass index (BMI): an underweight group (BMI < 18.5 kg/m2; n = 48), a normal group (BMI = 18.5-25.0 kg/m2; n = 286), an overweight group (BMI = 25.0-30.0 kg/m2; n = 92), and an obese group (BMI ≥ 30.0 kg/m2; n = 15). The mean follow-up period was 3.5 ± 1.9 years. The underweight group had significantly lower levels of hemoglobin, albumin, estimated glomerular filtration rate, triglycerides, and hemoglobin A1c; higher levels of C-reactive protein and B-type natriuretic peptide; and a higher prevalence of hemodialysis. The incidence of all-cause death and cardiovascular death was significantly higher in the underweight group (underweight vs normal, 77.1% vs 33.0%; P < .001 and 43.3% vs 14.4%; P < .001, respectively). In a multivariate Cox analysis, underweight status was an independent predictor of all-cause death (hazard ratio, 2.53; 95% confidence interval, 1.58-4.18; P < .001). Therefore, promoting weight gain, as well as managing cardiovascular disease, may be important for underweight patients with PAD.

Keywords: body mass index; intermittent claudication; mortality; peripheral artery disease; underweight.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Body Mass Index
  • Female
  • Humans
  • Intermittent Claudication / complications*
  • Intermittent Claudication / diagnosis
  • Intermittent Claudication / mortality*
  • Male
  • Middle Aged
  • Peripheral Arterial Disease / complications*
  • Peripheral Arterial Disease / diagnosis
  • Peripheral Arterial Disease / mortality*
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors
  • Thinness / complications*
  • Thinness / diagnosis*
  • Thinness / mortality