Association of Malnutrition-inflammation Score With Quality of Life and Mortality in Hemodialysis Patients: A 5-Year Prospective Cohort Study

被引:313
作者
Rambod, Mehdi
Bross, Rachelle [2 ]
Zitterkoph, Jennifer [2 ]
Benner, Deborah [3 ]
Pithia, Juhi [4 ]
Colman, Sara [4 ]
Kovesdy, Csaba P. [5 ]
Kopple, Joel D. [6 ,7 ]
Kalantar-Zadeh, Kamyar [1 ,6 ,7 ]
机构
[1] Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Harold Simmons Ctr Kidney Dis Res & Epidemiol, Torrance, CA 90502 USA
[2] Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Gen Clin Res Ctr, Div Bionutr, Torrance, CA 90502 USA
[3] DaVita Inc, DaVita Nutr, El Segundo, CA USA
[4] DaVita Wild W Div, Downey, CA USA
[5] Salem Vet Affairs Med Ctr, Salem, VA USA
[6] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA 90095 USA
[7] Univ Calif Los Angeles, Sch Publ Hlth, Los Angeles, CA 90024 USA
基金
美国国家卫生研究院;
关键词
Malnutrition-inflammation score (MIS); chronic kidney disease (CKD); hemodialysis; malnutrition; inflammation; cardiovascular disease; protein-energy wasting (PEW); health-related quality of life; PERITONEAL-DIALYSIS PATIENTS; CHRONIC KIDNEY-DISEASE; C-REACTIVE PROTEIN; MAINTENANCE HEMODIALYSIS; CARDIOVASCULAR MORTALITY; NUTRITIONAL-STATUS; COMPLEX SYNDROME; UNITED-STATES; HOSPITALIZATION; PREDICTOR;
D O I
10.1053/j.ajkd.2008.09.018
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
100201 [内科学]; 100221 [泌尿外科学];
摘要
Background: The Malnutrition-Inflammation Score (MIS), an inexpensive and easy-to-assess score of 0 to 30 to examine protein-energy wasting (PEW) and inflammation, includes 7 components of the Subjective Global Assessment, body mass index, and serum albumin and transferrin concentrations. We hypothesized that MIS risk stratification of hemodialysis (HD) patients in predicting outcomes is better than its components or laboratory markers of inflammation. Study Design: 5-Year cohort study. Setting & Participants: We examined 809 stable HD outpatients and followed them for up to 5 years (October 2001 to December 2006). Predictors: MIS and other nutritional and inflammatory markers. Outcomes & Measurements: Prospective all-cause mortality, health-related quality of life using the 36-Item Short Form Health Survey (SF-36), and tests of body composition. Results: The MIS correlated with logarithm of serum interleukin 6 level (r = +0.26; P < 0.001), logarithm of C-reactive protein level (r = +0.16; P < 0.001), and several measures of nutritional status. Patients with a higher MIS had lower SF-36 scores. After multivariate adjustment for case-mix and other measures of PEW, HD patients in the second (3 to 4), third (5 to 7), and fourth (>= 8) quartiles of MIS had worse survival rates than those in the first (0 to 2) quartile (P < 0.001). Each 2-unit increase in MIS was associated with a 2-fold greater death risk, ie, adjusted death hazard ratio of 2.03 (95% confidence interval, 1.76 to 2.33; P < 0.001). Cubic spline survival models confirmed linear trends. Adding MIS to the constellation of age, sex, race/ethnicity, and vintage significantly improved the area under the receiver operating characteristic curve developed for predicting mortality (0.71 versus 0.67; P < 0.001). Limitations: Selection bias and unknown confounders. Conclusions: In HD patients, the MIS is associated with inflammation, nutritional status, quality of life, and 5-year prospective mortality. The mortality predictability of the MIS appears equal to serum interleukin 6 and somewhat greater than C-reactive protein levels. Controlled trials are warranted to examine whether interventions to improve the MIS can also improve clinical outcomes in HD patients.
引用
收藏
页码:298 / 309
页数:12
相关论文
共 44 条
[1]
Afsar B, 2006, PERITON DIALYSIS INT, V26, P705
[2]
Akgul Arzu, 2007, Hemodial Int, V11, P198, DOI 10.1111/j.1542-4758.2007.00169.x
[3]
[Anonymous], AM J KIDNEY DIS S1
[4]
[Anonymous], AM J KIDNEY DIS S2, DOI DOI 10.1053/KD.2000.6671
[5]
Fine-tuning of the prediction of mortality in hemodialysis patients by use of cytokine proteomic determination [J].
Badiou, Stephanie ;
Cristol, Jean-Paul ;
Jaussent, Isabelle ;
Terrier, Nathalie ;
Morena, Marion ;
Maurice, Francois ;
Leray-Moragues, Helene ;
Rivory, Jean-Pierre ;
Chalabi, Lofti ;
Delcourt, Cecile ;
Canaud, Bernard ;
Dupuy, Anne-Marie .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2008, 3 (02) :423-430
[6]
A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients [J].
Beddhu, S ;
Bruns, FJ ;
Saul, M ;
Seddon, P ;
Zeidel, ML .
AMERICAN JOURNAL OF MEDICINE, 2000, 108 (08) :609-613
[7]
BEUTLER B, 1989, ANNU REV IMMUNOL, V7, P625, DOI 10.1146/annurev.iy.07.040189.003205
[8]
Nutritional status and depression, sleep disorder, and quality of life in hemodialysis patients [J].
Bilgic, Ayse ;
Akgul, Arzu ;
Sezer, Siren ;
Arat, Zubeyde ;
Ozdemir, F. Nurhan ;
Haberal, Mehmet .
JOURNAL OF RENAL NUTRITION, 2007, 17 (06) :381-388
[9]
Comprehensive malnutrition inflammation score as a marker of nutritional status in Chinese peritoneal dialysis patients [J].
Chan, Jessie Ying Wing ;
Che, Kit I. ;
Lam, Karry Mau Chu ;
Chow, Kai-Ming ;
Chung, Kwok-Yi ;
Li, Philip Kam-Tao ;
Szeto, Cheuk-Chun .
NEPHROLOGY, 2007, 12 (02) :130-134
[10]
The nutritional and inflammatory evaluation in dialysis patients (NIED) study: Overview of the NIED study and the role of dietitians [J].
Colman, S ;
Bross, R ;
Benner, D ;
Chou, J ;
Braglia, A ;
Arzaghi, J ;
Dennis, J ;
Martinez, L ;
Baldo, DB ;
Agarwal, V ;
Trundnowski, T ;
Zitterkoph, J ;
Martinez, B ;
Khawar, OS ;
Kalantar-Zadeh, K .
JOURNAL OF RENAL NUTRITION, 2005, 15 (02) :231-243