Rambod Mehdi, Bross Rachelle, Zitterkoph Jennifer, Benner Deborah, Pithia Juhi, Colman Sara, Kovesdy Csaba P, Kopple Joel D, Kalantar-Zadeh Kamyar
Harold Simmons Center for Kidney Disease Research and Epidemiology, CA, USA.
Am J Kidney Dis. 2009 Feb;53(2):298-309. doi: 10.1053/j.ajkd.2008.09.018. Epub 2008 Dec 13.
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.
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).
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.
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 (>or=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).
Selection bias and unknown confounders.
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.
营养不良 - 炎症评分(MIS)是一种用于评估蛋白质 - 能量消耗(PEW)和炎症的简单且低成本的评分系统,范围为0至30分,包括主观全面评定法的7个组成部分、体重指数以及血清白蛋白和转铁蛋白浓度。我们假设血液透析(HD)患者的MIS风险分层在预测预后方面优于其组成部分或炎症实验室指标。
为期5年的队列研究。
我们对809名稳定的HD门诊患者进行了检查,并对他们进行了长达5年的随访(2001年10月至2006年12月)。
MIS及其他营养和炎症指标。
前瞻性全因死亡率、使用36项简短健康调查问卷(SF - 36)评估的健康相关生活质量以及身体成分检测。
MIS与血清白细胞介素6水平的对数(r = +0.26;P < 0.001)、C反应蛋白水平的对数(r = +0.16;P < 0.001)以及多项营养状况指标相关。MIS较高的患者SF - 36评分较低。在对病例组合和其他PEW指标进行多变量调整后,MIS处于第二四分位数(3至4分)、第三四分位数(5至7分)和第四四分位数(≥8分)的HD患者的生存率低于第一四分位数(0至2分)的患者(P < 0.001)。MIS每增加2分,死亡风险增加1倍,即调整后的死亡风险比为2.03(95%置信区间,1.76至2.33;P < 0.001)。三次样条生存模型证实了线性趋势。将MIS纳入年龄、性别、种族/民族和透析时间等因素组合中,显著提高了用于预测死亡率的受试者工作特征曲线下面积(分别为0.71和0.67;P < 0.001)。
选择偏倚和未知混杂因素。
在HD患者中,MIS与炎症、营养状况、生活质量和5年前瞻性死亡率相关。MIS对死亡率的预测能力似乎与血清白细胞介素6相当,且略高于C反应蛋白水平。有必要进行对照试验,以检验改善MIS的干预措施是否也能改善HD患者的临床结局。