Kidney Week

Abstract: SA-PO157

The Best Cut-Off Value of Malnutrition-Inflammation Score (MIS) for Predicting Death in Maintenance Hemodialysis Patients

Session Information

• Nutrition, Inflammation, Metabolism: Clinical Trials, Biomarkers, Epidemiology
  November 04, 2017 | Location: Hall H, Morial Convention Center
  Abstract Time: 10:00 AM - 10:00 AM

Category: Nutrition, Inflammation, and Metabolism

• 1401 Nutrition, Inflammation, Metabolism

Authors

• Parodis Lopez, Yanet, Centro de Hemodiálisis AVERICUM, Las Palmas de Gran Canaria, Spain

Yanet Parodis Lopez,

• Sablón gonzalez, Nery N, Hospital Dr. Negrin, Las Palmas de GC, Las Palmas de Gran Canaria, Spain

Nery N Sablón gonzalez,

• Rodriguez-Esparragon, Francisco Javier, Hospital Dr. Negrin, Las Palmas de GC, Spain

Francisco Javier Rodriguez-Esparragon,

• Lorenzo villalba, Noel, Centre Hospitalier Saint Cyr, France, France, France

Noel Lorenzo villalba,

• Anton, Gloria, Avericum, Telde, Spain

Gloria Anton,

• Gonzalez cabrera, Fayna, Hospital Dr. Negrin, SANTA BRIGIDA, Spain

Fayna Gonzalez cabrera,

• Oliva-Damaso, Elena, Hospital General Universitario de Gran Canaria Dr Negrin, Las Palmas, Spain

Elena Oliva-Damaso,

• Baamonde, Eduardo, Hospital Dr. Negrin, SANTA BRIGIDA, Spain

Eduardo Baamonde,

• Rodriguez perez, Jose carlos, Hospital Dr. Negrin, Las Palmas de GC, Spain

Jose carlos Rodriguez perez,

Background

Mis score is associated with morbidity and mortality; however, there are few studies about cut-off value of MIS to categorize patients into high or low risk patients.

Methods

A total of 221 patients from the peripheral hemodialysis center of Dr Negrín University Hospital of Las Palmas de Gran Canaria were included. Demographic and biochemical data were obtained as well as MIS score. A three-year follow-up was carried out to evaluate the best cut-off value of MIS score for predicting death as the primary outcome.

Results

The MIS mean was 7,33 ± 4,57 and was higher in deceased patients (8,34 ± 4,56) than in the non-deceased patients (6,5 ± 4,26) (p = 0,002).
In the ROC analysis, the optimal cut-off value of MIS for predicting death was 5 with 81,5 percent sensitivity and 42,6 percent specificity (Figure 1).
MIS ≥ 5 was found in 67,3% of patients.
81,5% of the deceased patients had a MIS ≥ 5 compared to only 57,4% of the non-deceased patients (p <0,001)
High MIS and Charlson index, advanced age and low lymphocytes were found to be predictors of mortality in the multivariate logistic regression analysis.
As the MIS increases, overall survival is lower according to the Kaplan Meier's statistical analysis (p = 0,003) (Figure 2).

Conclusion

MIS was a practical, simple and independent predictor of mortality in hemodialysis patients, being 5 the best cut-off point to predict mortality.
Additional risk factors associated with mortality were high Charlson Index, advanced age as well as lymphopenia.