Marta Guedes1, Ana Esperança2, Ana Cristina Pereira3, Catarina Rego2. 1. Unidade de Saúde Familiar Nova Via, ACeS Espinho/Gaia, Valadares, Portugal. Electronic address: martasguedes@gmail.com. 2. Unidade de Saúde Familiar Nova Via, ACeS Espinho/Gaia, Valadares, Portugal. 3. Unidade de Saúde Familiar Amorosa XXI, ACeS Alto Ave Guimarães/Vizela/Terras de Basto, Guimarães, Portugal.
Abstract
INTRODUCTION: High levels of uric acid (UA) have been associated with cardiovascular (CV) disease, but its role as an independent risk factor is the subject of debate. Treating hyperuricemia may be useful in reducing CV risk. OBJECTIVE: To review the evidence on the effect of treatment with allopurinol in patients with hyperuricemia on reducing CV events. METHODS: We searched medical databases for randomized controlled trials (RCT), cohort studies (CS) and case-control studies (CCS), meta-analyses, systematic reviews and guidelines, published between January 2002 and December 2013 in Portuguese and English. Level of evidence (LE) and strength of recommendation were graded according to the definitions used by the European Society of Cardiology. RESULTS: Out of 46 articles, one RCT, three CS and one CCS were included. In the RCT, treatment with allopurinol decreased CV events in patients with moderate chronic renal failure by 71% compared to controls (LE B). In one CS, patients treated with high doses had a greater reduction in CV events compared to low doses (LE B). The other two CS, in patients with heart failure (HF), found similar benefits in patients treated with high doses of allopurinol (LE B). In the CCS, in patients with HF and a history of gout, treatment with allopurinol reduced HF admission and all-cause mortality (LE B). DISCUSSION AND CONCLUSIONS: Prolonged treatment with high doses of allopurinol may be associated with a reduction in morbidity and mortality in high CV risk populations (class of recommendation IIa). More studies evaluating the effect of therapy with allopurinol in reducing CV events in patients with and without risk are needed.
INTRODUCTION: High levels of uric acid (UA) have been associated with cardiovascular (CV) disease, but its role as an independent risk factor is the subject of debate. Treating hyperuricemia may be useful in reducing CV risk. OBJECTIVE: To review the evidence on the effect of treatment with allopurinol in patients with hyperuricemia on reducing CV events. METHODS: We searched medical databases for randomized controlled trials (RCT), cohort studies (CS) and case-control studies (CCS), meta-analyses, systematic reviews and guidelines, published between January 2002 and December 2013 in Portuguese and English. Level of evidence (LE) and strength of recommendation were graded according to the definitions used by the European Society of Cardiology. RESULTS: Out of 46 articles, one RCT, three CS and one CCS were included. In the RCT, treatment with allopurinol decreased CV events in patients with moderate chronic renal failure by 71% compared to controls (LE B). In one CS, patients treated with high doses had a greater reduction in CV events compared to low doses (LE B). The other two CS, in patients with heart failure (HF), found similar benefits in patients treated with high doses of allopurinol (LE B). In the CCS, in patients with HF and a history of gout, treatment with allopurinol reduced HF admission and all-cause mortality (LE B). DISCUSSION AND CONCLUSIONS: Prolonged treatment with high doses of allopurinol may be associated with a reduction in morbidity and mortality in high CV risk populations (class of recommendation IIa). More studies evaluating the effect of therapy with allopurinol in reducing CV events in patients with and without risk are needed.
Authors: Megha Prasad; Eric L Matteson; Joerg Herrmann; Rajiv Gulati; Charanjit S Rihal; Lilach O Lerman; Amir Lerman Journal: Hypertension Date: 2016-12-19 Impact factor: 10.190
Authors: Karel H van der Pol; Kimberley E Wever; Mariette Verbakel; Frank L J Visseren; Jan H Cornel; Gerard A Rongen Journal: PLoS One Date: 2021-12-02 Impact factor: 3.240
Authors: Tejas P Singh; Tristan Skalina; Daniel Nour; Aarya Murali; Sean Morrison; Joseph V Moxon; Jonathan Golledge Journal: BMC Cardiovasc Disord Date: 2018-07-11 Impact factor: 2.298