Literature DB >> 22253023

National prevalence of gout derived from administrative health data in Aotearoa New Zealand.

Doone Winnard1, Craig Wright, William J Taylor, Gary Jackson, Leanne Te Karu, Peter J Gow, Bruce Arroll, Simon Thornley, Barry Gribben, Nicola Dalbeth.   

Abstract

OBJECTIVE: Previous small studies in Aotearoa New Zealand have indicated a high prevalence of gout. This study sought to determine the prevalence of gout in the entire Aotearoa New Zealand population using national-level health data sets.
METHODS: We used hospitalization and drug dispensing claims for allopurinol and colchicine for the entire Aotearoa New Zealand population from the Aotearoa New Zealand Health Tracker (ANZHT) to estimate the prevalence of gout in 2009, stratified by age, gender, ethnicity and socio-economic status (n = 4 295 296).
RESULTS: were compared with those obtained from an independent large primary care data set (HealthStat, n = 555 313). Results. The all-ages crude prevalence of diagnosed gout in the ANZHT population was 2.69%. A similar prevalence of 2.89% was observed in the HealthStat population standardized to the ANZHT population for age, gender, ethnicity and deprivation. Analysis of the ANZHT population showed that gout was more common in Māori and Pacific people [relative risk (RR) 3.11 and 3.59, respectively], in males (RR 3.58), in those living in the most socio-economically deprived areas (RR 1.41) and in those aged >65 years (RR >40) (P-value for all <0.0001). The prevalence of gout in elderly Māori and Pacific men was particularly high at >25%.
CONCLUSION: Applying algorithms to national administrative data sets provides a readily available method for estimating the prevalence of a chronic condition such as gout, where diagnosis and drug treatment are relatively specific for this disease. We have demonstrated high gout prevalence in the entire Aotearoa New Zealand population, particularly among Māori and Pacific people.

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Year:  2012        PMID: 22253023     DOI: 10.1093/rheumatology/ker361

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  54 in total

1.  The rising prevalence and incidence of gout in British Columbia, Canada: Population-based trends from 2000 to 2012.

Authors:  Sharan K Rai; J Antonio Aviña-Zubieta; Natalie McCormick; Mary A De Vera; Kam Shojania; Eric C Sayre; Hyon K Choi
Journal:  Semin Arthritis Rheum       Date:  2016-08-17       Impact factor: 5.532

Review 2.  Global epidemiology of gout: prevalence, incidence and risk factors.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Weiya Zhang; Michael Doherty
Journal:  Nat Rev Rheumatol       Date:  2015-07-07       Impact factor: 20.543

Review 3.  Determinants of the prevalence of gout in the general population: a systematic review and meta-regression.

Authors:  José M A Wijnands; Wolfgang Viechtbauer; Kristof Thevissen; Ilja C W Arts; Pieter C Dagnelie; Coen D A Stehouwer; Sjef van der Linden; Annelies Boonen
Journal:  Eur J Epidemiol       Date:  2014-07-27       Impact factor: 8.082

Review 4.  Impaired response or insufficient dosage? Examining the potential causes of "inadequate response" to allopurinol in the treatment of gout.

Authors:  Lisa K Stamp; Tony R Merriman; Murray L Barclay; Jasvinder A Singh; Rebecca L Roberts; Daniel F B Wright; Nicola Dalbeth
Journal:  Semin Arthritis Rheum       Date:  2014-05-09       Impact factor: 5.532

5.  Clinical Pharmacogenetics Implementation Consortium guidelines for human leukocyte antigen-B genotype and allopurinol dosing.

Authors:  M S Hershfield; J T Callaghan; W Tassaneeyakul; T Mushiroda; C F Thorn; T E Klein; M T M Lee
Journal:  Clin Pharmacol Ther       Date:  2012-10-17       Impact factor: 6.875

6.  Anti-nociceptive and anti-edematogenic effects of glibenclamide in a model of acute gouty attack in rats.

Authors:  Rosane M S dos Santos; Sara M Oliveira; Cássia R Silva; Carin Hoffmeister; Juliano Ferreira; Jamil Assreuy
Journal:  Inflamm Res       Date:  2013-03-30       Impact factor: 4.575

7.  Allopurinol use in a New Zealand population: prevalence and adherence.

Authors:  Simon Horsburgh; Pauline Norris; Gordon Becket; Bruce Arroll; Peter Crampton; Jacqueline Cumming; Shirley Keown; Peter Herbison
Journal:  Rheumatol Int       Date:  2014-01-04       Impact factor: 2.631

8.  Discordant association of the CREBRF rs373863828 A allele with increased BMI and protection from type 2 diabetes in Māori and Pacific (Polynesian) people living in Aotearoa/New Zealand.

Authors:  Mohanraj Krishnan; Tanya J Major; Ruth K Topless; Ofa Dewes; Lennex Yu; John M D Thompson; Lesley McCowan; Janak de Zoysa; Lisa K Stamp; Nicola Dalbeth; Jennie Harré Hindmarsh; Nuku Rapana; Ranjan Deka; Winston W H Eng; Daniel E Weeks; Ryan L Minster; Stephen T McGarvey; Satupa'itea Viali; Take Naseri; Muagututi'a Sefuiva Reupena; Phillip Wilcox; David Grattan; Peter R Shepherd; Andrew N Shelling; Rinki Murphy; Tony R Merriman
Journal:  Diabetologia       Date:  2018-05-02       Impact factor: 10.122

Review 9.  Gout Classification Criteria: Update and Implications.

Authors:  Ana Beatriz Vargas-Santos; William J Taylor; Tuhina Neogi
Journal:  Curr Rheumatol Rep       Date:  2016-07       Impact factor: 4.592

10.  Replication of association of the apolipoprotein A1-C3-A4 gene cluster with the risk of gout.

Authors:  Humaira Rasheed; Amanda J Phipps-Green; Ruth Topless; Malcolm D Smith; Catherine Hill; Susan Lester; Maureen Rischmueller; Matthijs Janssen; Timothy L Jansen; Leo A Joosten; Timothy R Radstake; Philip L Riches; Anne-Kathrin Tausche; Frederic Lioté; Alexander So; Andre van Rij; Gregory T Jones; Sally P McCormick; Andrew A Harrison; Lisa K Stamp; Nicola Dalbeth; Tony R Merriman
Journal:  Rheumatology (Oxford)       Date:  2016-04-18       Impact factor: 7.580

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