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1.
Int J Antimicrob Agents ; 52(1): 86-89, 2018 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-29501603

RESUMO

The objective of this study was to evaluate the impact of polymyxin B (PMB) -associated acute kidney injury (AKI) in 1-year mortality and renal function recovery. Patients >18 years old who survived the first 30 days after PMB therapy were followed for 1 year. The impact of AKI and renal failure (using RIFLE score) in 1-year mortality was analysed, along with other confounding variables. Variables with a P-value ≤0.2 were included in a forward stepwise Cox regression model. In the subgroup of patients who developed AKI, we evaluated renal function recovery. A total of 234 patients were included for analyses. Of these, 108 (46.1%) died, in a median time of 63 (38.3-102.5) days. The use of other nephrotoxic drugs along with PMB (P = 0.05), renal failure (P = 0.03), dialysis (P < 0.01) and re-exposure to PMB (P<0.01), were all significantly related to 1-year mortality, while male gender had a protective effect (P = 0.01). Independent factors related to death were age (adjusted hazard ratio (aHR) 1.02, 95% confidence interval (CI) 1.00-1.03, P = 0.02), re-exposure to PMB (aHR 2.69, 95% CI 1.82-3.95, P<0.01), and male gender (aHR0.6, 95% CI 0.41-0.87, P = 0.01), when controlled for renal failure (aHR 1.28, 95% CI 0.78-2.10, P = 0.34).Thirty one of 94 (33%) patients who developed AKI had renal function recovery within 1 year. Mortality rates were high in the first year after PMB use and only one-third of patients who developed AKI returned to baseline renal function. Strategies to reduce renal toxicity are urgently needed in these patients.


Assuntos
Injúria Renal Aguda/induzido quimicamente , Injúria Renal Aguda/mortalidade , Antibacterianos/efeitos adversos , Polimixina B/efeitos adversos , Injúria Renal Aguda/fisiopatologia , Idoso , Diálise , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais , Recuperação de Função Fisiológica , Estudos Retrospectivos , Fatores de Risco
2.
Clin Chem Lab Med ; 52(12): 1747-54, 2014 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-24940711

RESUMO

BACKGROUND: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation seems to correct the overdiagnosis of chronic kidney disease (CKD) provided by Modification of Diet in Renal Disease (MDRD) equation. However, this point has not been tested in some ethnic groups. This study investigated the performance of MDRD and CKD-EPI equations in South Brazilian individuals. METHODS: This cross-sectional study included 354 individuals including healthy volunteers, diabetic and non-diabetic individuals with or without CKD. Glomerular filtration rate (GFR) was measured by the 51Cr-EDTA single-injection method (51Cr-GFR). Accuracy (P30), bias, and Bland-Altman agreement plots were evaluated. RESULTS: In the group as a whole, 51Cr-GFR was 87±37 (6-187), CKD-EPI eGFR, 82±30 (6-152), and MDRD eGFR, 77±28 (6-156) mL/min/1.73 m2 (p<0.001 for all comparisons). Analyzing the subset of individuals with 51Cr-GFR <60 mL/min/1.73 m2, P30 values were, respectively, 76% and 84% for MDRD and for CKD-EPI (p<0.001) while for 51Cr-GFR ≥60 mL/min/1.73 m2, P30 values were 57.5% for both equations (p=1.000). For MDRD and CKD-EPI, mean bias were negative for GFRs <60 (-11 vs. -12, p=0.221) and positive for values >60 (16 vs. 9, p<0.001). In multivariate analysis, absolute bias was unfavorably influenced by measured GFR >60 (for MDRD) and being diabetic or younger (for CKD-EPI). CONCLUSIONS: CKD-EPI reduces GFR underestimation in individuals with GFRs >60, but still presents a quite low accuracy at this GFR range. Moreover, it tends to overestimate GFR in subjects with GFRs <60 mL/min/1.73 m2. CKD stages 1 and 2, diabetes and young age had a negative influence on the performance of the equations.


Assuntos
Algoritmos , Taxa de Filtração Glomerular/fisiologia , Insuficiência Renal Crônica/fisiopatologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Brasil , Radioisótopos de Cromo/química , Creatinina/sangue , Estudos Transversais , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Razão de Chances , Índice de Gravidade de Doença , Adulto Jovem
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