Clinical Medicine, Miguel Hernandez University of Elche, Sant Joan D'Alacant, Spain.
Rheumatology, Hospital Universitario La Paz, Madrid, Spain.
RMD Open. 2023 Jun;9(2). doi: 10.1136/rmdopen-2023-003191.
There is room for improvement in the knowledge of female gout, often noted at risk of gender blindness. This study aims to compare the prevalence of comorbidities in women versus men hospitalised with gout in Spain.
This is an observational, multicentre, cross-sectional study in public and private Spanish hospitals analysing the minimum basic data set from 192 037 hospitalisations in people with gout (International Classification of Diseases, Ninth Revision (ICD-9) coding) from 2005 to 2015. Age and several comorbidities (ICD-9) were compared by sex, with a subsequent stratification of comorbidities by age group. The association between each comorbidity and sex was assessed using multivariable logistic regression. A clinical decision tree algorithm was constructed to predict the sex of patients with gout based on age and comorbidities alone.
Women with gout (17.4% of the sample) were significantly older than men (73.9±13.7 years vs 64.0±14.4 years, p<0.001). Obesity, dyslipidaemia, chronic kidney disease, diabetes mellitus, heart failure, dementia, urinary tract infection and concurrent rheumatic disease were more common in women. Female sex was strongly associated with increasing age, heart failure, obesity, urinary tract infection and diabetes mellitus, while male sex was associated with obstructive respiratory diseases, coronary disease and peripheral vascular disease. The decision tree algorithm built showed an accuracy of 74.4%.
A nationwide analysis of inpatients with gout in 2005-2015 confirms a different comorbidity profile between men and women. A different approach to female gout is needed to reduce gender blindness.
女性痛风的知识还有待提高，人们往往认为女性痛风容易被忽视。本研究旨在比较西班牙因痛风住院的女性和男性患者的合并症患病率。
这是一项在西班牙公立和私立医院进行的观察性、多中心、横断面研究，分析了 2005 年至 2015 年间因痛风（国际疾病分类第 9 版编码）住院的 192037 例患者的最低基本数据集。按性别比较了年龄和几种合并症（国际疾病分类第 9 版），并按年龄组对合并症进行了分层。使用多变量逻辑回归评估了每种合并症与性别之间的关系。基于年龄和合并症，构建了一个临床决策树算法来预测痛风患者的性别。
女性痛风患者（占样本的 17.4%）明显比男性患者年龄更大（73.9±13.7 岁比 64.0±14.4 岁，p<0.001）。肥胖、血脂异常、慢性肾脏病、糖尿病、心力衰竭、痴呆、尿路感染和并存的风湿性疾病在女性中更为常见。女性性别与年龄增长、心力衰竭、肥胖、尿路感染和糖尿病密切相关，而男性性别与阻塞性呼吸道疾病、冠心病和外周血管疾病相关。所构建的决策树算法显示准确率为 74.4%。
2005 年至 2015 年对痛风住院患者的全国性分析证实，男性和女性的合并症特征不同。需要对女性痛风采取不同的方法，以减少性别偏见。
