Medicine and Health Sciences Faculty, Universitat Rovira i Virgili (URV), 43201 Reus, Spain.
Institute of Health Research Pere Virgili (IISPV), 43204 Reus, Spain.
Nutrients. 2020 Oct 23;12(11):3249. doi: 10.3390/nu12113249.
Type 2 diabetes poses a major public health challenge. Here, we conducted a cohort study with a large sample size to determine the association of baseline serum ferritin (SF), a marker of iron status, with incident type 2 diabetes in primary healthcare patients in Catalonia, a western Mediterranean region. A total of 206,115 patients aged 35-75 years without diabetes and with available baseline SF measurements were eligible. The variables analyzed included sociodemographic characteristics, anthropometry, lifestyle, morbidity and iron status (SF, serum iron and hemoglobin). Incident type 2 diabetes during follow-up (2006-2016) was ascertained using the International Classification of Diseases, 10th edition. Cox proportional-hazards models adjusted for multiple baseline confounders/mediators were used to estimate hazard ratios (HRs). Over a median follow-up of 8.4 years, 12,371 new cases of type 2 diabetes were diagnosed, representing an incidence rate of 7.5 cases/1000 persons/year. Since at baseline, the median SF concentration was higher in subjects who developed type 2 diabetes (107.0 µg/L vs. 60.3 µg/L; < 0.001), SF was considered an independent risk predictor for type 2 diabetes; the multivariable-adjusted HRs for incident type 2 diabetes across SF quartiles 1-4 were 1.00 (reference), 0.95 (95% CI = 0.85-1.06), 1.18 (95% CI = 1.65-1.31) and 1.51 (95% CI = 1.36-1.65), respectively. Our study suggested that higher baseline SF was significantly associated with an increased risk of new-onset type 2 diabetes in Catalan primary healthcare users, supporting the relevance of monitoring iron stores in order to improve the diagnosis and management of diabetes in clinical practice.
2 型糖尿病构成了重大的公共健康挑战。在这里,我们进行了一项队列研究,该研究纳入了大量样本,以确定基线血清铁蛋白(SF)——铁状态标志物与加泰罗尼亚初级保健患者 2 型糖尿病发病的相关性,加泰罗尼亚位于西地中海地区。共有 206115 名年龄在 35-75 岁之间、无糖尿病且基线 SF 测量值可用的患者符合条件。分析的变量包括社会人口统计学特征、人体测量学、生活方式、发病率和铁状态(SF、血清铁和血红蛋白)。通过国际疾病分类,第 10 版,在随访期间(2006-2016 年)确定 2 型糖尿病的发病情况。使用调整了多种基线混杂因素/调节剂的 Cox 比例风险模型来估计风险比(HR)。在中位随访 8.4 年期间,诊断出 12371 例新发 2 型糖尿病,发病率为 7.5 例/1000 人/年。由于基线时,发生 2 型糖尿病的患者的 SF 浓度中位数较高(107.0 µg/L 比 60.3 µg/L;<0.001),因此 SF 被认为是 2 型糖尿病的独立风险预测因子;SF 四分位数 1-4 中,发生 2 型糖尿病的多变量调整 HR 分别为 1.00(参考)、0.95(95%CI=0.85-1.06)、1.18(95%CI=1.65-1.31)和 1.51(95%CI=1.36-1.65)。我们的研究表明,较高的基线 SF 与加泰罗尼亚初级保健使用者新发 2 型糖尿病的风险增加显著相关,这支持了监测铁储存的相关性,以改善临床实践中的糖尿病诊断和管理。