Original Article

Rheumatology International

, Volume 33, Issue 4, pp 847-852

First online:

Demographic and clinical features of gout patients in Turkey: a multicenter study

  • Mehmet Akif ÖztürkAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gazi University Email author 
  • , Arif KayaAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gazi University
  • , Soner ŞenelAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Erciyes University
  • , Salim DönmezAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Tırakya University
  • , Ayşe BalkarlıAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Pamukkale University
  • , Veli ÇobankaraAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Pamukkale University
  • , Çiğdem ErhanAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Sütçüimam University
  • , Mehmet SayarlıoğluAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Sütçüimam University
  • , Yunus UganAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Süleyman Demirel University
    • , Ş. Ercan TunçAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Süleyman Demirel University
    • , Yavuz PehlivanAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gaziantep University
    • , Bünyamin KısacıkAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gaziantep University
    • , Abdurrahman TufanAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gazi University
    • , Ahmet Mesut OnatAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gaziantep University
    • , Engin TezcanAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Gazi University
    • , Gözde Yıldırım ÇetinAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Sütçüimam University
    • , Omer Nuri PamukAffiliated withDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine, Tırakya University

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Abstract

Gout results from multifactor interactions between gender, age, genetic and environmental factors. Environmental factors underlying gout and precipitating factors triggering acute attacks might vary in different populations with different lifestyles. In this study, we aimed to collect data regarding the demographic and clinical features, comorbid factors, and precipitating factors associated with the initiation of acute attacks in gout patients in Turkey. A total of 312 patients were included in this study (mean age, 58.8 ± 13.8 years; female/male ratio, 55/257). The demographic features, alcohol intake, clinical and laboratory features, and comorbid conditions including obesity, diabetes mellitus, hyperlipidemia, hypertension, and coronary heart disease were noted in a standard questionnaire. Precipitating factors initiating acute attacks (if any) were also noted. The patients were divided into 4 groups according to the region of location as central Anatolian region, southeast Anatolian region, Aegean region, and Trakya region. Our results were compared according to the gender and the location of the patients. The mean age at the start of the symptoms was 10 years higher in women (60.4 ± 14.8 and 50.6 ± 13.5 years in women and men, respectively, p < 0.001).Obesity was present in 40.1 %, diabetes mellitus in 17.9 %, hyperlipidemia in 30.1 %, hypertension in 53.5 %, coronary artery disease in 17 %, and nephrolithiasis in 21.8 % of patients. Precipitating factors triggering gout flares were as follows: diet (high consumption of meat or fish) in 46.5 %, alcohol consumption in 15.7 %, diuretics in 8.3 %, diet or diuretics in 5.1 %, diet or alcohol in 4.5 %, diet or alcohol or diuretics in 1.6 %, others in 4.2 %, and none in 14.1 %. The presence of diabetes and diuretic use was more common among women. Use of diuretics is a more common trigger for gout flares among women. On the other hand, various comorbid conditions, such as obesity and hypertension, and triggers for gout flares may differ between patients living in different geographic regions. In summary, we reported the first data regarding clinical and demographic characteristics of gout in Turkey. The majority of our patients could describe at least one “trigger” that initiated gout flare. Both comorbid conditions and triggers of attack might differ between men and women, and in different geographic areas. Better knowledge of the modifiable risk factors can be useful for the management strategy to optimize long-term patient outcomes in local clinics.

Keywords

Gout Comorbidity Precipitating factor