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[Predictors of early death during dialysis].
Nefrologia. 2001 May-Jun; 21(3):274-82.N

Abstract

The mortality among end-stage renal failure (ESRF) patients undergoing renal replacement therapy (RRT) remains high. An important proportion of these patients die shortly after the initiation of RRT. The present study aims to determine the best predictors for the early mortality in a group of 140 ESRF patients who initiated RRT between october 96 and december 99. The mean age of the study group was 61 +/- 13 years, and the mean follow-up time was 20 +/- 12 months. Diabetic nephropathy was the most prevalent etiology of renal failure (30%). The following data, collected immediately before the initiation of RRT, were included as independent variables: demographic and clinical characteristics, including the nutritional status established by the Subjective Global Assessment (SGA), follow-up time in the predialysis clinic (less or longer than 3 months), EPO therapy, vascular access, renal function (creatinine and urea clearances, and Kt/V urea), hematological and biochemical data including serum albumin, bicarbonate, transferrin, PTH and C-Reactive protein, as well as the protein catabolic rate and the percent of lean body mass normalized for ideal body weight, calculated from the 24 h total urine excretion of nitrogen and creatinine. The Cox proportional hazard regression model, stratified for an age over or less than 65 year, was utilized to determine the best predictors for the mortality during the study period. Sixty percent of patients had at least one comorbid condition, and 35% had cardiovascular diseases. Mild-moderate or severe malnutrition was observed in 48% of patients. The creatinine clearance and Kt/V urea before the initiation of RRT were: 9.50 +/- 2.64 ml/min/1.73 m2 and 1.47 +/- 0.44, respectively. Forty-one patients died during the study period (annual death rate: 17%). The best predictor of mortality was the nutritional status assessed by the SGA (OR: 2.32, IC 95% 1.54-3.48, p < 0.0001). In a second analysis in which the SGA was removed from the model, the previous history of cardiovascular diseases (OR: 2.07, CI 95%: 1.06-4.06, p = 0.032), and the percent of lean body mass/ideal weight (OR: 0.96; IC 95%: 0.93-0.99; p = 0.042), proved to be the best predictor of mortality. In conclusion, nutritional indices prior to the initiation of RRT, and the previous history of cardiovascular diseases were the best predictors of the early mortality in this unselected population on dialysis. Because nutritional status appeared to be a marker of the severity of the comorbid conditions, a better control of the number and severity of these comorbid conditions may be the best way for reducing the mortality in patients on RRT.

Authors+Show Affiliations

Servicio de Nefrología, Hospital Infanta Cristina, 06080 Badajoz. fcaravacam@senefro.orgNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

spa

PubMed ID

11471308

Citation

Caravaca, F, et al. "[Predictors of Early Death During Dialysis]." Nefrologia : Publicacion Oficial De La Sociedad Espanola Nefrologia, vol. 21, no. 3, 2001, pp. 274-82.
Caravaca F, Arrobas M, Pizarro JL, et al. [Predictors of early death during dialysis]. Nefrologia. 2001;21(3):274-82.
Caravaca, F., Arrobas, M., Pizarro, J. L., Cancho, B., Cubero, J. J., Espárrago, J. F., García, M. C., & Sánchez-Casado, E. (2001). [Predictors of early death during dialysis]. Nefrologia : Publicacion Oficial De La Sociedad Espanola Nefrologia, 21(3), 274-82.
Caravaca F, et al. [Predictors of Early Death During Dialysis]. Nefrologia. 2001 May-Jun;21(3):274-82. PubMed PMID: 11471308.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Predictors of early death during dialysis]. AU - Caravaca,F, AU - Arrobas,M, AU - Pizarro,J L, AU - Cancho,B, AU - Cubero,J J, AU - Espárrago,J F, AU - García,M C, AU - Sánchez-Casado,E, PY - 2001/7/27/pubmed PY - 2001/9/21/medline PY - 2001/7/27/entrez SP - 274 EP - 82 JF - Nefrologia : publicacion oficial de la Sociedad Espanola Nefrologia JO - Nefrologia VL - 21 IS - 3 N2 - The mortality among end-stage renal failure (ESRF) patients undergoing renal replacement therapy (RRT) remains high. An important proportion of these patients die shortly after the initiation of RRT. The present study aims to determine the best predictors for the early mortality in a group of 140 ESRF patients who initiated RRT between october 96 and december 99. The mean age of the study group was 61 +/- 13 years, and the mean follow-up time was 20 +/- 12 months. Diabetic nephropathy was the most prevalent etiology of renal failure (30%). The following data, collected immediately before the initiation of RRT, were included as independent variables: demographic and clinical characteristics, including the nutritional status established by the Subjective Global Assessment (SGA), follow-up time in the predialysis clinic (less or longer than 3 months), EPO therapy, vascular access, renal function (creatinine and urea clearances, and Kt/V urea), hematological and biochemical data including serum albumin, bicarbonate, transferrin, PTH and C-Reactive protein, as well as the protein catabolic rate and the percent of lean body mass normalized for ideal body weight, calculated from the 24 h total urine excretion of nitrogen and creatinine. The Cox proportional hazard regression model, stratified for an age over or less than 65 year, was utilized to determine the best predictors for the mortality during the study period. Sixty percent of patients had at least one comorbid condition, and 35% had cardiovascular diseases. Mild-moderate or severe malnutrition was observed in 48% of patients. The creatinine clearance and Kt/V urea before the initiation of RRT were: 9.50 +/- 2.64 ml/min/1.73 m2 and 1.47 +/- 0.44, respectively. Forty-one patients died during the study period (annual death rate: 17%). The best predictor of mortality was the nutritional status assessed by the SGA (OR: 2.32, IC 95% 1.54-3.48, p < 0.0001). In a second analysis in which the SGA was removed from the model, the previous history of cardiovascular diseases (OR: 2.07, CI 95%: 1.06-4.06, p = 0.032), and the percent of lean body mass/ideal weight (OR: 0.96; IC 95%: 0.93-0.99; p = 0.042), proved to be the best predictor of mortality. In conclusion, nutritional indices prior to the initiation of RRT, and the previous history of cardiovascular diseases were the best predictors of the early mortality in this unselected population on dialysis. Because nutritional status appeared to be a marker of the severity of the comorbid conditions, a better control of the number and severity of these comorbid conditions may be the best way for reducing the mortality in patients on RRT. SN - 0211-6995 UR - https://www.unboundmedicine.com/medline/citation/11471308/[Predictors_of_early_death_during_dialysis]_ L2 - http://www.revistanefrologia.com/es/linksolver/ft/ivp/0211-6995/21/274 DB - PRIME DP - Unbound Medicine ER -