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The standard 2.27% PET permits some categorization of sodium sieving in PD patients. However, the information provided by this test lacks the discriminatory capacity of the 3.86% PET, which should be considered the one for reference for this purpose. GFR keeps a consistent inverse correlation with the intensity of sodium sieving in both the 2.27% and 3.86% PET.

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Background and Aims among the predictors of hemodialysis mortality, the “surprise” question (SQ) (Would you be surprised if this patient died within the next 6 or 12 months?) is a subjective variable, based on the patient's medical history, experience and knowledge. Recognized as a useful tool to identify a patient with a high risk of early mortality in Hemodialysis. Objective to assess a prognostic model of early mortality, based on clinical - biochemical parameters and the prediction of the clinician attending the patient. Method SQ is performed on 4 nurses and 4 nephrologists of the hospital hemodialysis unit, the Karnofsky Performance Scale Index of the patients is collected (KPSI 0: normal activity, KPSI 1: Unable to work, frequent medical attention, KPSI 2 : Unable to self-care, requires special care), and prospectively analyzed mortality at 6 and 12 months. Results The prevalent population studied in Hemodialysis is 180 patients, average age 69 years ± 14.1 (R 27-94), According to sex (Male 69%-Female 31%), the follow-up of the study was 1 year, we had 11 deaths 6 months and 17 deaths at 12 months, total 28 patients (15.7%). The distribution of patients according to nurses and nephrologists staff (table 1) and patients characteristics (Table 2) Conclusion: T he surprise question is a specific and sensitive instrument to predict sort-term survival in dialysis population especially in those with older age, more comorbid illnesses, lower functional status and hypoalbuminemia. of the analyzed factors; Karnofsky Index, age, surprise question and albumin have significant predictive value for mortality at 6 and 12 months. We observed that the surprise question for nephrologists Staff is closer to prediction than nursing, and with a high negative predictive value for the “group of NO surprise”

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