Nutrition & Metabolism (Nov 2021)

Prevalence and prognostic significance of malnutrition in diabetic patients with coronary artery disease: a cohort study

  • Wen Wei,
  • Lingyu Zhang,
  • Guode Li,
  • Zhidong Huang,
  • Jin Liu,
  • Zhihuang Wu,
  • Yuanying Wu,
  • Jinrong Lin,
  • Yunhan Zhang,
  • Yaren Yu,
  • Haozhang Huang,
  • Qiang Li,
  • Bo Wang,
  • Yong Liu,
  • Mei Tu,
  • Hong Chen,
  • Shiqun Chen

DOI
https://doi.org/10.1186/s12986-021-00626-4
Journal volume & issue
Vol. 18, no. 1
pp. 1 – 10

Abstract

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Abstract Background Malnutrition is associated with poor prognosis in cardiovascular disease patients or in diabetic patients. However, the relationship between malnutrition and clinical outcomes in diabetic patients with coronary artery disease (CAD) is not well known. The aim of this study is to report the prevalence and prognostic consequences of malnutrition in diabetic patients with CAD. Methods In this retrospective observational study, the Controlling Nutritional Status (CONUT) score applied to 12,898 consecutive diabetic patients with CAD. The association between malnutrition and long-term all-cause mortality was examined using Cox proportional hazards regression analysis. Results According to CONUT score, 60.5% patients suffered from malnutrition; 46.4%, 13.2%, and 0.9% patients had mild, moderate, and severe malnutrition, respectively. During a median follow-up of 4.88 (2.83–7.51) years, 1973 (15.3%) patients died. After adjustment for confounders, malnutrition was associated with significantly increased risk for long-term all-cause mortality (adjusted hazard ratio for mild malnutrition and moderate to severe malnutrition, respectively: 1.38 [95% confidence interval (CI) 1.07–1.77]; P value = 0.012 and 1.63 [95% CI 1.18–2.24]; P value = 0.003). A similar association was observed around subgroups. Conclusions Malnutrition is common in diabetic patients with CAD and is strongly associated with increased mortality. It is necessary to adequately assess the nutritional status and take the effective nutritional guidance to improve the prognosis of diabetic patients with CAD.

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