PG-SGA在老年慢性心力衰竭营养评估中的应用初探

doi:10.16689/j.cnki.cn11-9349/r.2019.02.013

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (0 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要目的应用PG-SGA评估老年慢性心力衰竭患者的营养状况，分析营养状况与心功能相关性。方法采用连续入组方法，选取2017年10月至2019年2月在首都医科大学附属北京世纪坛医院、日照市中心医院住院治疗的老年慢性心力衰竭患者125例，根据NYHA心功能分级分为前临床心衰组（I级）和临床心衰组（Ⅱ~Ⅳ级）。采用PG-SGA行营养评估，同时对体质指数、血清白蛋白、前白蛋白、血红蛋白及Ｎ端前脑钠肽检测，观察PG-SGA指标与上述指标的相关性。结果临床心衰组营养不良发生率高于前临床心衰组 (P<0.001)。相对于PG-SGA评级营养正常患者，营养不良患者体质指数、血清白蛋白、前白蛋白及血红蛋白降低，Ｎ端前脑钠肽升高 (P<0.05)。PG-SGA评分、前白蛋白水平在心功能Ⅰ～Ⅳ级各亚组间比较差异均具有统计学意义(P<0.05)。结论老年慢性心力衰竭患者营养不良发生率高，PG-SGA可作为该类患者的营养评估的工具；PG-SGA评分可在一定程度上作为辅助评估心力衰竭严重程度的潜在指标。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	赵晟
	雷力成
	杨诺
	任利辉
	彭建军
	李广平
	薛新颖
	赵龙廷

关键词 ：患者主观整体评估, 慢性心力衰竭, 老年, 营养评估

Abstract：Objective To investigate the application of PG-SGA in nutritional assessment of elderly patients with chronic heart failure. Methods A continuous approach was used to screen a total of 125 elderly patients who were hospitalized in the Beijing Shijitan Hospital， Capital Medical University and Rizhao Central Hospital from October 2017 to February 2019. According to the NYHA classification of heart failure， the patients were divided into the clinical heart failure group (grade Ⅱ~Ⅳ) and the pre-clinical heart failure group (grade I). Patients were evaluated for nutritional status using PG-SGA. The body mass index (BMI)， albumin (ALB)， pre-albumin (PA)， hemoglobin (Hb) and NT-proBNP were measured. The correlation between each test index and PG-SGA was observed. The relationship between PG-SGA score and cardiac function classification was studied. Results The incidence of malnutrition in the clinical heart failure group was significantly higher than that in the pre-clinical heart failure group (P<0.001). Compared to the patients rated unmalnutrition， the patients rated malnutrition got lower BMI， ALB， PA， Hb levels and a higher NT-proBNP level(P<0.05). PG-SGA scores and PA levels have statistically significant differences between each cardiac function classification subgroups (P<0.05). Conclusions The incidence of malnutrition in elderly chronic heart failure patients is high， and PG-SGA could be used for the nutritional assessment of these patients. PG-SGA scores might be used as an auxiliary index to evaluate cardiac function.

Key words： Patient-generated subjective global assessment Chronic heart falure Elderly patients Nutritional assessment

基金资助:国家自然科学基金（81700007）；首都医科大学附属北京世纪坛医院院青年基金项目（2017-q04）

通讯作者: 赵龙廷，电子邮箱：zhaoshengmd@foxmail.com

引用本文:

赵晟，雷力成，杨诺，任利辉，彭建军，李广平，薛新颖，赵龙廷. PG-SGA在老年慢性心力衰竭营养评估中的应用初探[J]. 肿瘤代谢与营养电子杂志, 2019, 6(2): 221-224.
ZHAO Sheng，LEI Li-cheng，YANG Nuo，REN Li-hui， PENG Jian-jun，LI Guang-ping，XUE Xin-ying， ZHAO Long-ting. The exploratory application of PG-SGA in nutritional assessment of elderly patients with chronic heart failure. Electron J Metab Nutr Cancer, 2019, 6(2): 221-224.

1.Andreae C， Strmberg A， restedt K. Prevalence and associated factors for decreased appetite among patients with stable heart failure. J Clin Nurs. 2016；25(11-12):1703-1712.
2.Lima LFD， Júnior FB， Simes MV， et al. Heart failure， micronutrient profile， and its connection with thyroid dysfunction and nutritional status. Clin Nutr. 2019；38(2):800-805.
3.石汉平，李薇. PG-SGA肿瘤病人营养状况评估操作手册. 北京: 人民卫生出版社， 2013.
4.Papadimitriou L， Hamo CE， Butler J. Heart failure guidelines: What’s new? Trends Cardiovasc Med. 2017；27(5):316-323.
5.陈伟伟，高润霖，刘力生，等. 《中国心血管病报告2017》概要. 中国循环杂志. 2018； 33(1):1-8.
6.Oguri M， Fujimaki T， Horibe H， et al. Obesity-related changes in clinical parameters and conditions in a longitudinal population-based epidemiological study. Obes Res Clin Pract. 2017；11(3):299.
7.Pickton J， Hopcraft KI， Jakeman E. The emergence of waves in random discrete systems. Sci Rep. 2016；6(1):21.
8.Okoshi MP. Cardiac Cachexia: Perspectives for prevention and treatment. Arq Bras Cardiol. 2017；108(1):74-80.
9.Matsubara TJ， Fujiu K. Correlation between nutritional state and prognosis of heart failure， with a focus on the immune system. Int Heart J. 2018；59(2):245-247.
10.Trullàs JC. The importance of nutritional status in heart failure. Rev Clin Esp. 2018；218(2):68-69.
11.Yoshihisa A， Kanno Y， Watanabe S， et al. Impact of nutritional indices on mortality in patients with heart failure. Open Heart. 2018；5(1):e000730.
12.Nishi I， Seo Y， Hamada-Harimura Y， et al. Utility of nutritional screening in predicting short-term prognosis of heart failure patients. Int Heart J. 2018；59(2):354-360.
13.Nakagomi A， Kohashi K， Morisawa T， et al. Nutritional status is associated with inflammation and predicts a poor outcome in patients with chronic heart failure. J Atheroscler Thromb. 2016；23(6):713-727.
14.Demirel B， Atasoy BM. Comparison of three nutritional screening tools to predict malnutrition risk and detect distinctions between tools in cancer patients receiving radiochemotherapy. Nutr Cancer. 2018；70(6):867-873.
15.Du H， Liu B， Xie Y， et al. Comparison of different methods for nutrition assessment in patients with tumors. Oncol Lett. 2017；14(1):165-170.
16.杨家君，黄学军，邓俊晖，等. PG-SGA 在常见消化道恶性肿瘤患者中的应用研究. 肿瘤代谢与营养电子杂志. 2017；4(2):189-193.
17.杨眉，陈誉，王晓杰，等. NRS 2002和 PG-SGA在晚期胃癌化疗患者中的应用. 肿瘤代谢与营养电子杂志. 2016；3(1):45-48.
18.Fu S， Ping P， Zhu Q， et al. Brain natriuretic peptide and its biochemical， analytical， and clinical issues in heart failure: a narrative review. Front Physiol. 2018；9:692.
19.Patrícia L， Sérgio S， Fernando F， et al. Low prealbumin is strongly associated with adverse outcome in heart failure. Heart. 2014；100(22):1780-1785.
20.Cabassi A， Champlain JD， Maggiore U， et al. Prealbumin improves death risk prediction of BNP-added seattle heart failure model: results from a pilot study in elderly chronic heart failure patients. Int J Cardiol. 2013；168(4):3334-3339.