AIM: The Geriatric Nutritional Risk Index (GNRI) was developed to assess the nutritional risk and is associated with mortality. However, there are limited reports on the relationship between the GNRI and overall survival (OS) in peripheral artery disease (PAD). Therefore, the purpose of this study was to examine the relationship between GNRI and OS and cardiovascular or limb events in patients with PAD. METHODS: A prospective cohort study was performed on 1,219 patients with PAD. The baseline GNRI was calculated from the serum albumin level and body mass index obtained at the first visit. The patients were divided into four groups according to the GNRI: G0 (>98), G1 (92-98), G2 (82-91), and G3 (<82). The endpoints were OS and freedom from major adverse cardiovascular events (MACE) and MACE plus limb events (MACLE). RESULTS: The median follow-up period was 73 months. There were 626 deaths (51.4%) during the follow-up. The rate of cardiovascular death was 51.3%. OS clearly depended on the GNRI (p<0.01), with five-year OS rates of 80.8% for G0, 62.0% for G1, 40.0% for G2, and 23.3% for G3. In multivariate analyses, the GNRI, age, ankle-brachial pressure index (ABPI), critical limb ischemia, estimated glomerular filtration rate (eGFR), and C-reactive protein (CRP) were independent factors associated with OS, and GNRI, age, ABPI, coronary artery disease, diabetes mellitus, eGFR, and CRP were associated with MACE and MACLE (all p<0.05). Statins were found to improve OS, MACE, and MACLE (p<0.01). CONCLUSIONS: GNRI is an independent predictor for OS, MACE, and MACLE in patients with PAD.
AIM: The Geriatric Nutritional Risk Index (GNRI) was developed to assess the nutritional risk and is associated with mortality. However, there are limited reports on the relationship between the GNRI and overall survival (OS) in peripheral artery disease (PAD). Therefore, the purpose of this study was to examine the relationship between GNRI and OS and cardiovascular or limb events in patients with PAD. METHODS: A prospective cohort study was performed on 1,219 patients with PAD. The baseline GNRI was calculated from the serum albumin level and body mass index obtained at the first visit. The patients were divided into four groups according to the GNRI: G0 (>98), G1 (92-98), G2 (82-91), and G3 (<82). The endpoints were OS and freedom from major adverse cardiovascular events (MACE) and MACE plus limb events (MACLE). RESULTS: The median follow-up period was 73 months. There were 626 deaths (51.4%) during the follow-up. The rate of cardiovascular death was 51.3%. OS clearly depended on the GNRI (p<0.01), with five-year OS rates of 80.8% for G0, 62.0% for G1, 40.0% for G2, and 23.3% for G3. In multivariate analyses, the GNRI, age, ankle-brachial pressure index (ABPI), critical limb ischemia, estimated glomerular filtration rate (eGFR), and C-reactive protein (CRP) were independent factors associated with OS, and GNRI, age, ABPI, coronary artery disease, diabetes mellitus, eGFR, and CRP were associated with MACE and MACLE (all p<0.05). Statins were found to improve OS, MACE, and MACLE (p<0.01). CONCLUSIONS: GNRI is an independent predictor for OS, MACE, and MACLE in patients with PAD.
Authors: Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White; Hugo A Katus; Bertil Lindahl; David A Morrow; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Robert O Bonow; Fausto Pinto; Raymond J Gibbons; Keith A Fox; Dan Atar; L Kristin Newby; Marcello Galvani; Christian W Hamm; Barry F Uretsky; Ph Gabriel Steg; William Wijns; Jean-Pierre Bassand; Phillippe Menasché; Jan Ravkilde; E Magnus Ohman; Elliott M Antman; Lars C Wallentin; Paul W Armstrong; Maarten L Simoons; James L Januzzi; Markku S Nieminen; Mihai Gheorghiade; Gerasimos Filippatos; Russell V Luepker; Stephen P Fortmann; Wayne D Rosamond; Dan Levy; David Wood; Sidney C Smith; Dayi Hu; José-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michal Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis Journal: Circulation Date: 2012-08-24 Impact factor: 29.690
Authors: S D Anker; P Ponikowski; S Varney; T P Chua; A L Clark; K M Webb-Peploe; D Harrington; W J Kox; P A Poole-Wilson; A J Coats Journal: Lancet Date: 1997-04-12 Impact factor: 79.321
Authors: Daniel L Davenport; Eleftherios S Xenos; Patrick Hosokawa; Jacob Radford; William G Henderson; Eric D Endean Journal: J Vasc Surg Date: 2008-11-22 Impact factor: 4.268
Authors: Zhongjian Su; Xing Zhang; Nan Zheng; Ying Xiao; Xingzhu Liu; Yanfei Yang; Lili Deng; Yanfei Chen; Bin Li Journal: J Int Med Res Date: 2021-05 Impact factor: 1.671
Authors: Cheng-Hsi Yeh; Shao-Chun Wu; Sheng-En Chou; Wei-Ti Su; Ching-Hua Tsai; Chi Li; Shiun-Yuan Hsu; Ching-Hua Hsieh Journal: Int J Environ Res Public Health Date: 2020-12-10 Impact factor: 3.390