Why the study?
Does combining multiple ARB-induced risk marker responses improve the prediction of long-term renal outcomes in patients with type 2 diabetes compared to using only systolic blood pressure changes?
Does combining multiple ARB-induced risk marker responses improve the prediction of long-term renal outcomes in patients with type 2 diabetes compared to using only systolic blood pressure changes?
Combining multiple on-target and off-target responses to ARB therapy improves the prediction of long-term renal outcomes in patients with type 2 diabetes compared to blood pressure changes alone.
Answers are grounded in this paper and cite their sources.
May aid renal risk prediction in type 2 diabetes beyond BP alone; hypothesis-generating, requiring prospective validation.
AIMS: Angiotensin receptor blockers (ARBs) are renoprotective and targeted to blood pressure. However, ARBs have multiple other (off-target) effects which may affect renal outcome. It is unknown whether on-target and off-target effects are congruent within individuals. If not, this variation in short term effects may have important implications for the prediction of individual long term renal outcomes. Our aim was to assess intra-individual variability in multiple parameters in response to ARBs in type 2 diabetes. METHODS: Changes in systolic blood pressure (SBP), albuminuria, potassium, haemoglobin, cholesterol and uric acid after 6 months of losartan treatment were assessed in the RENAAL database. Improvement in predictive performance of renal outcomes (ESRD or doubling serum creatinine) for each individual using ARB-induced changes in all risk markers was assessed by the relative integrative discrimination index (RIDI). RESULTS: SBP response showed high variability (mean -5.7 mmHg, 5(th) to 95(th) percentile -36.5 to +24.0 mmHg) between individuals. Changes in off-target parameters also showed high variability between individuals. No congruency was observed between responses to losartan in multiple parameters within individuals. Using individual responses in all risk markers significantly improved renal risk prediction (RIDI 30.4%, P < 0.01) compared with using only SBP changes. Results were successfully replicated in two independent trials with irbesartan, IDNT and IRMA-2. CONCLUSIONS: In this post hoc analysis we showed that ARBs have multiple off-target effects which vary between and within individuals. Combining all ARB-induced responses beyond SBP provides a more accurate prediction of who will benefit from ARB therapy. Prospective trials are required to validate these findings.
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Schievink et al. (2015) studied this question.
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