LONGITUDINAL CHANGES IN HEALTH-RELATED QUALITY OF LIFE SCORES IN BRAZILIAN INCIDENT PERITONEAL DIALYSIS PATIENTS (BRAZPD): SOCIO-ECONOMIC STATUS NOT A BARRIER

被引:10
作者
dos Santos Grincenkov, Fabiane Rossi [1 ]
Fernandes, Natalia [1 ,2 ]
Chaoubah, Alfredo [3 ]
Fernandes, Neimar da Silva [1 ]
Bastos, Kleyton [4 ]
Lopes, Antonio Alberto [5 ]
Qureshi, Abdul Rashid [6 ]
Finkelstein, Fredric O. [7 ]
Pecoits-Filho, Roberto [8 ]
Divino-Filho, Jose Carolino [6 ]
Bastos, Marcus Gomes [1 ,2 ]
机构
[1] Univ Fed Juiz de Fora, Interdisciplinary Program Studies Res & Treatment, Juiz De Fora, Brazil
[2] Univ Fed Juiz de Fora, Dept Med, Juiz De Fora, Brazil
[3] Univ Fed Juiz de Fora, Dept Stat, Juiz De Fora, Brazil
[4] Univ Fed Sergipe, Dept Med, Aracaju, Brazil
[5] Univ Fed Bahia, Dept Internal Med, Salvador, BA, Brazil
[6] Karolinska Inst, CLINTEC, Div Renal Med, Stockholm, Sweden
[7] Yale Univ, Dept Med, New Haven, CT 06520 USA
[8] Pontificia Univ Catolica Parana, Ctr Hlth & Biol Sci, Curitiba, Parana, Brazil
来源
PERITONEAL DIALYSIS INTERNATIONAL | 2013年 / 33卷 / 06期
关键词
Health-related quality of life; Karnofsky index; SF-36; education level; family income; socioeconomic status; BRAZPD; RESIDUAL RENAL-FUNCTION; ESRD PATIENTS; HEMODIALYSIS; SURVIVAL; OUTCOMES; TIME; NETHERLANDS; MULTICENTER; PREDICTORS; DISEASE;
D O I
10.3747/pdi.2012.00038
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
1002 ; 100201 ;
摘要
Background and Objectives: A large proportion of the patients on peritoneal dialysis (PD) in Brazil have low levels of education and family income. The present study assessed whether education level and family income are associated with baseline and longitudinal changes in health-related quality of life (HRQOL) scores during the first year of PD therapy. Methods: We evaluated 1624 incident patients from the Brazilian Peritoneal Dialysis Multicenter Study (BRAZPD) at baseline, and 486 of them after 12 months. The SF-36 was used to determine HRQOL and the Karnofsky index (KI), physical performance. Results: At baseline, patients received high KI scores compared with scores on the SF-36. The means of the mental and physical components at baseline and after 12 months were 39.9 +/- 10.5 compared with 38.7 +/- 11.7 and 41.8 +/- 9.6 compared with 40.7 +/- 9.8 respectively, which were not statistically different. A multivariate regression analysis showed that age, sex, diabetes, and cardiovascular disease were predictors of the mental component (respectively, beta = 0.12, p < 0.001; beta = 0.11, p < 0.001; beta = -0.08, beta = 0.007; and beta = -0.07, p = 0.007) and that age, sex, diabetes, cardiovascular disease, hemoglobin, glucose, and creatinine were predictors of the physical component (respectively, beta = -0.28, p < 0.001; beta = 0.06, p = 0.009; beta = -0.09, p = 0.002; beta = -0.09, p = 0.001; beta = 0.07, p = 0.004; beta = -0.05, p = 0.040; and beta = 0.05, p = 0.040). Education level and family income were not significantly associated with HRQOL (mental and physical components) in the multivariate regression. Conclusions: The results indicate that, as predictors, family income and education level have no impact on HRQOL, supporting the idea that socio-economic status should not be a barrier to the selection of PD as a treatment modality in Brazil.
引用
收藏
页码:687 / 696
页数:10
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