ACE-I/ARB therapy prior to contrast exposure: what should the clinician do?
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ABSTRACT:
SUBMITTER: Kalyesubula R
PROVIDER: S-EPMC3925541 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Publications
ACE-I/ARB therapy prior to contrast exposure: what should the clinician do?
Kalyesubula Robert R Bagasha Peace P Perazella Mark A MA
BioMed research international 20140129
Contrast-induced nephropathy (CIN) is now one of the three leading causes of acute kidney injury in the world. A lot is known about the risk factors of CIN, yet it remains a major cause of morbidity, end stage renal disease, prolonged hospital stay, and increased costs as well as a high mortality. Many patients undergoing contrast-based radiological investigations are treated with angiotensin converting inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) for their cardiac and renal benef ...[more]
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Project description:ObjectivesThis paper aims to compare the effectiveness of sacubitril-valsartan and angiotensin-converting enzyme inhibitor (ACE)/angiotensin receptor blocker (ARB) in systolic heart failure (HF).BackgroundSacubitril-valsartan reduced risks of death and hospitalization for HF versus enalapril in ambulatory patients with HF and reduced ejection fraction in the PARADIGM-HF (Prospective Comparison of Angiotensin II Receptor Blocker Neprilysin Inhibitor with Angiotensin Converting Enzyme Inhibitor to Determine Impact on Global Mortality and Morbidity in HF) trial. However, the comparative effectiveness of sacubitril-valsartan and ACE/ARB in patients treated in routine clinical practice is unclear.MethodsWe identified patients with systolic HF in a U.S. administrative claims database treated with sacubitril-valsartan or ACE/ARB from July 1, 2015, to February 2, 2018. One-to-one propensity score matching was used to balance patients on 29 clinical variables. Cox models were used to compare outcomes between treatment groups.ResultsA total of 7,893 matched pairs were included; mean (SD) follow-up was 6.3 (5.4) months. Sacubitril-valsartan was associated with lower risks of all-cause mortality or all-cause hospitalization (hazard ratio [HR]: 0.86, 95% confidence interval (CI): 0.81 to 0.91; p < 0.001), all-cause mortality (HR: 0.80, 95% CI: 0.66 to 0.97; p = 0.027), and all-cause hospitalization (HR: 0.86, 95% CI: 0.80 to 0.91; p < 0.001), but not HF hospitalization (HR: 1.07, 95% CI: 0.96 to 1.19; p = 0.26). A lower risk of the primary outcome with sacubitril-valsartan was observed in white patients (HR: 0.83, 95% CI: 0.76 to 0.90) but not black patients (21% of population, HR: 1.00, 95% CI: 0.88 to 1.15; interaction p = 0.032). No statistically significant differences in treatment response by sex or age were observed.ConclusionsSacubitril-valsartan was associated with lower risks of death and hospitalization compared with ACE/ARB in a heterogeneous cohort of patients with systolic HF. However, our finding that outcomes with sacubitril-valsartan and ACE/ARBs were similar in black patients warrants further evaluation.
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Project description:Angiotensin II type 1 receptor (AT1R) blockers (ARBs) are among the most prescribed drugs. However, ARB effectiveness varies widely, which may be due to non-synonymous single nucleotide polymorphisms (nsSNPs) within the AT1R gene. The AT1R coding sequence contains over 100 nsSNPs; therefore, this study embarked on determining which nsSNPs may abrogate the binding of selective ARBs. The crystal structure of olmesartan-bound human AT1R (PDB:4ZUD) served as a template to create an inactive apo-AT1R via molecular dynamics simulation (n = 3). All simulations resulted in a water accessible ligand-binding pocket that lacked sodium ions. The model remained inactive displaying little movement in the receptor core; however, helix 8 showed considerable flexibility. A single frame representing the average stable AT1R was used as a template to dock Olmesartan via AutoDock 4.2, MOE, and AutoDock Vina to obtain predicted binding poses and mean Boltzmann weighted average affinity. The docking results did not match the known pose and affinity of Olmesartan. Thus, an optimization protocol was initiated using AutoDock 4.2 that provided more accurate poses and affinity for Olmesartan (n = 6). Atomic models of 103 of the known human AT1R polymorphisms were constructed using the molecular dynamics equilibrated apo-AT1R. Each of the eight ARBs was then docked, using ARB-optimized parameters, to each polymorphic AT1R (n = 6). Although each nsSNP has a negligible effect on the global AT1R structure, most nsSNPs drastically alter a sub-set of ARBs affinity to the AT1R. Alterations within N298 -L314 strongly effected predicted ARB affinity, which aligns with early mutagenesis studies. The current study demonstrates the potential of utilizing in silico approaches towards personalized ARB therapy. The results presented here will guide further biochemical studies and refinement of the model to increase the accuracy of the prediction of ARB resistance in order to increase overall ARB effectiveness.
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