[논문]Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study

Sun, Xiaonan; Luo, Leiming; Zhao, Xiaoqian; Ye, Ping

doi:10.1136/bmjopen-2016-015649

Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study 원문보기

BMJ open, v.7 no.9, 2017년, pp.e015649 - e015649

Sun, Xiaonan (Department of Geriatric Cardiolog, Chinese People’s Liberation Army General Hospital, Beijing, China) , Luo, Leiming (Department of Geriatric Cardiolog, Chinese People’s Liberation Army General Hospital, Beijing, China) , Zhao, Xiaoqian (Department of Cardiology, Chinese People’s Liberation Army 305 Hospital, Beijing, China) , Ye, Ping (Department of Geriatric Cardiolog, Chinese People’s Liberation Army General Hospital, Beijing, China)

Abstract ▼ AI-Helper

ObjectivesThe aim of this study was to elucidate the impact of nutritional status on survival per Controlling Nutritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI) in patients with hypertension over 80 years of age.DesignProspective follow-up study.ParticipantsA total of 336 hypertensive patients over 80 years old were included in this study.Outcome measuresAll-cause deaths were recorded as Kaplan-Meier curves to evaluate the association between CONUT and all-cause mortality at follow-up. Cox regression models were used to investigate the prognostic value of CONUT and GNRI for all-cause mortality in the 90-day period after admission.ResultsHypertensive patients with higher CONUT scores exhibited higher mortality within 90 days after admission (1.49%, 6.74%, 15.38%, respectively, χ2=30.92, p=0.000). Surviving patients had higher body mass index (24.25±3.05 vs 24.25±3.05, p=0.012), haemoglobin (123.78±17.05 vs 115.07±20.42, p=0.040) and albumin levels, as well as lower fasting blood glucose (6.90±2.48 vs 8.24±3.51, p=0.010). Higher GRNI score (99.42±6.55 vs 95.69±7.77, p=0.002) and lower CONUT (3.13±1.98 vs 5.14±2.32) both indicated better nutritional status. Kaplan-Meier curves indicated that survival rates were significantly worse in the high-CONUT group compared with the low-CONUT group (χ1 =13.372, p=0.001). Cox regression indicated an increase in HR with increasing CONUT risk (from normal to moderate to severe). HRs (95% CI) for 3-month mortality was 1.458 (95% CI 1.102 to 1.911). In both respiratory tract infection and ‘other reason’ groups, only CONUT was a sufficiently predictor for all-cause mortality (HR=1.284, 95% CI 1.013 to 1.740, p=0.020 and HR=1.841, 95% CI 1.117 to 4.518, p=0.011). Receiver operating characteristic showed that CONUT higher than 3.0 was found to predict all-cause mortality with a sensitivity of 77.8% and a specificity of 64.7% (area under the curve=0.778, p<0.001).ConclusionNutritional status assessed via CONUT is an accurate predictor of all-cause mortality 90 days postadmission. Evaluation of nutritional status may provide additional prognostic information in hypertensive patients.

주제어

참고문헌 (26)

1. Arodiwe I , Chinawa J , Ujunwa F , et al Nutritional status of congenital heart disease (CHD) patients: burden and determinant of malnutrition at university of Nigeria teaching hospital Ituku—Ozalla, Enugu . Pak J Med Sci 2015 ; 31 : 1140 – 5 . 10.12669/pjms.315.6837 26649002

상세보기
2. Anaszewicz M , Budzyński J Clinical significance of nutritional status in patients with atrial fibrillation: an overview of current evidence . J Cardiol 2017 ; 69 : 719 – 30 . 10.1016/j.jjcc.2016.06.014 27520756

상세보기
3. Das UN Nutritional factors in the prevention and management of coronary artery disease and heart failure . Nutrition 2015 ; 31 : 283 – 91 . 10.1016/j.nut.2014.08.011 25592005

상세보기
4. Cereda E , Klersy C , Pedrolli C , et al The geriatric nutritional risk index predicts hospital length of stay and in-hospital weight loss in elderly patients . Clin Nutr 2015 ; 34 : 74 – 8 . 10.1016/j.clnu.2014.01.017 24508351

상세보기
5. Cereda E , Pedrolli C , Zagami A , et al Nutritional risk, functional status and mortality in newly institutionalised elderly . Br J Nutr 2013 ; 110 : 1903 – 9 . 10.1017/S0007114513001062 23578415

상세보기
6. Cereda E , Pedrolli C The use of the geriatric nutritional risk index (GNRI) as a simplified nutritional screening tool . Am J Clin Nutr 2008 ; 87 : 1966 – 7 . author reply 67 . 18541595

상세보기
7. Ignacio de Ulíbarri J , González-Madroño A , de Villar NG , et al CONUT: a tool for controlling nutritional status. First validation in a hospital population . Nutr Hosp 2005 ; 20 : 38 – 45 .
8. Iseki Y , Shibutani M , Maeda K , et al Impact of the preoperative controlling nutritional status (CONUT) score on the survival after curative surgery for colorectal cancer . PLoS One 2015 ; 10 : e0132488 10.1371/journal.pone.0132488 26147805

상세보기
9. Beberashvili I , Azar A , Sinuani I , et al Geriatric nutritional risk index, muscle function, quality of life and clinical outcome in hemodialysis patients . Clin Nutr 2016 ; 35 : 1522 – 9 . 10.1016/j.clnu.2016.04.010 27117682

상세보기
10. Liu LS Writing group of Chinese guidelines for the management of H. [2010 Chinese guidelines for the management of hypertension] . Zhonghua xin xue guan bing za zhi 2011 ; 39 : 579 – 615 . 22088239
11. Luke JN , Schmidt DF , Ritte R , et al Nutritional predictors of chronic disease in a central Australian aboriginal cohort: a multi-mixture modelling analysis . Nutr Metab Cardiovasc Dis 2016 ; 26 : 162 – 8 . 10.1016/j.numecd.2015.11.009 26719222

상세보기
12. Yoo SH , Kook HY , Hong YJ , et al Influence of undernutrition at admission on clinical outcomes in patients with acute myocardial infarction . J Cardiol 2017 ; 69 : 555 – 60 . 10.1016/j.jjcc.2016.05.009 27567176

상세보기
13. Huang BT , Peng Y , Liu W , et al Nutritional state predicts all-cause death independent of comorbidities in geriatric patients with coronary artery disease . J Nutr Health Aging 2016 ; 20 : 199 – 204 . 10.1007/s12603-015-0572-2 26812517

상세보기
14. 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 : 713 – 27 . 10.5551/jat.31526 26782970

상세보기
15. Yoshida N , Baba Y , Shigaki H , et al Preoperative nutritional assessment by controlling nutritional status (CONUT) is useful to estimate postoperative morbidity after esophagectomy for esophageal cancer . World J Surg 2016 ; 40 : 1910 – 7 . 10.1007/s00268-016-3549-3 27220507

상세보기
16. Du XJ , Tang LL , Mao YP , et al Value of the prognostic nutritional index and weight loss in predicting metastasis and long-term mortality in nasopharyngeal carcinoma . J Transl Med 2015 ; 13 : 364 10.1186/s12967-015-0729-0 26585371

상세보기
17. Basta G , Chatzianagnostou K , Paradossi U , et al The prognostic impact of objective nutritional indices in elderly patients with ST-elevation myocardial infarction undergoing primary coronary intervention . Int J Cardiol 2016 ; 221 : 987 – 92 . 10.1016/j.ijcard.2016.07.039 27441479

상세보기
18. Narumi T , Arimoto T , Funayama A , et al Prognostic importance of objective nutritional indexes in patients with chronic heart failure . J Cardiol 2013 ; 62 : 307 – 13 . 10.1016/j.jjcc.2013.05.007 23806549

상세보기
19. Cabré M , Ferreiro C , Arus M , et al Evaluation of CONUT for clinical malnutrition detection and short-term prognostic assessment in hospitalized elderly people . J Nutr Health Aging 2015 ; 19 : 729 – 33 . 10.1007/s12603-015-0536-6 26193855

상세보기
20. Cereda E , Pedrolli C , Zagami A , et al Nutritional screening and mortality in newly institutionalised elderly: a comparison between the geriatric nutritional risk index and the mini nutritional assessment . Clin Nutr 2011 ; 30 : 793 – 8 . 10.1016/j.clnu.2011.04.006 21723010

상세보기
21. Gärtner S , Kraft M , Krüger J , et al Geriatric nutritional risk index correlates with length of hospital stay and inflammatory markers in older inpatients . Clin Nutr 2017 ; 36 : 1048 – 53 . 10.1016/j.clnu.2016.06.019 27426416

상세보기
22. Formiga F , Ferrer A , Cruzado JM , et al Geriatric assessment and chronic kidney disease in the oldest old: the Octabaix study . Eur J Intern Med 2012 ; 23 : 534 – 8 . 10.1016/j.ejim.2012.03.009 22863431

상세보기
23. Beberashvili I , Erlich A , Azar A , et al Longitudinal study of serum Uric Acid, nutritional status, and mortality in maintenance hemodialysis patients . Clin J Am Soc Nephrol 2016 ; 11 : 1015 – 23 . 10.2215/CJN.10400915 27026520

상세보기
24. Edalat-Nejad M , Zameni F , Qlich-Khani M , et al Geriatric nutritional risk index: a mortality predictor in hemodialysis patients . Saudi J Kidney Dis Transpl 2015 ; 26 : 302 – 8 . 10.4103/1319-2442.152445 25758879
25. Kaneko H , Suzuki S , Goto M , et al Geriatric nutritional risk index in hospitalized heart failure patients . Int J Cardiol 2015 ; 181 : 213 – 5 . 10.1016/j.ijcard.2014.11.167 25528314

상세보기
26. Maruyama K , Nakagawa N , Saito E , et al Malnutrition, renal dysfunction and left ventricular hypertrophy synergistically increase the long-term incidence of cardiovascular events . Hypertens Res 2016 ; 39 : 633 – 9 . 10.1038/hr.2016.47 27169395

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study 원문보기

Abstract ▼ AI-Helper

주제어

참고문헌 (26)

이 논문을 인용한 문헌

관련 콘텐츠

원문 보기

원문 URL 링크

오픈액세스(OA) 유형

연관된 기능

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트