2019
DOI: 10.1186/s41100-019-0238-3
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Assessment of the effect of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in peritoneal dialysis patients: a systematic review and meta-analysis on clinical trials

Abstract: Background Renin-angiotensin system inhibitors (RASIs), either angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, are widely used in patients with non-dialysis chronic kidney disease, as a renin-angiotensin system (RAS) blockade has renoprotective effects. Several studies show that preserving residual renal function is important for a better prognosis in peritoneal dialysis (PD) patients. Here, we systematically reviewed the beneficial or harmful effects of RAS blockade … Show more

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Cited by 2 publications
(2 citation statements)
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“…In addition to the serum urea-to-creatinine ratio at the zero point, variables previously associated with HD transfer were included in the multivariate regression model. Consequently, the fully adjusted model (Model A) included age, sex, CCI, the use of angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers and mean BP levels, as well as anthropometric and biochemical parameters 6 months after PD initiation, including GNRI and logarithmic BNP and CRP levels [10,[13][14][15][16][17][18][19].…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the serum urea-to-creatinine ratio at the zero point, variables previously associated with HD transfer were included in the multivariate regression model. Consequently, the fully adjusted model (Model A) included age, sex, CCI, the use of angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers and mean BP levels, as well as anthropometric and biochemical parameters 6 months after PD initiation, including GNRI and logarithmic BNP and CRP levels [10,[13][14][15][16][17][18][19].…”
Section: Discussionmentioning
confidence: 99%
“…Consequently, these analyses were performed using three distinct models as follows: Model 1 was a minimally-adjusted model with age, sex, CCI, eGFR, GNRI, and the categories of the BMI change included as candidate independent variables [ 19–23 ], taking the multicollinearity between the CCI and diabetes mellitus (DM) or between the BMI and GNRI into consideration. Model 2 was further adjusted for the mean blood pressure (MBP) with the use of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACEi/ARBs) [ 24 ]. Finally, model 3 was the fully-adjusted model, including logarithmic BNP, which was one of the volume status markers, as an independent variable to minimize the effect of fluid overload on outcomes, considering that the BMI does not distinguish between muscle mass, fat, and fluids [ 25 ].…”
Section: Methodsmentioning
confidence: 99%